. *** hyp1 pt 1 female analysis continued
. ** version 1 continued
. * note: estout.ado required
.
. twoway scatter WHPpain avgcumdosew1 if gender==2 ///
>  || lowess WHPpain avgcumdosew1 if gender==2, ///
>    ti(Pain & avg cumulative reconstructed {superscript:137}CS dose) ///
>    subti(among females in wave one) ///
>    xti(average cumulative dose for wave one in milliGrays) ///
>    yti(Pain subscale score)  ///
>    legend(rows(2))

. graph save fPainvD1.gph, replace
(file fPainvD1.gph saved)

. graph export fPainvD1.eps, replace
(file fPainvD1.eps written in EPS format)

.
.
.
. twoway scatter WHPpain avgcumdosew2 if gender==2 ||

.     lowess WHPpain avgcumdosew2 if gender==2, ///
>    ti(Pain & avg cumulative reconstructed {superscript:137}CS dose) ///
>    subti(among females in wave two) ///
>    xti(average cumulative dose for wave one in milliGrays) ///
>    yti(Pain subscale score) ///
>    legend(rows(2))

. graph save fPainvD2.gph, replace
(file fPainvD2.gph saved)

. graph export fPainvD2.eps, replace
(file fPainvD2.eps written in EPS format)

.
. twoway scatter WHPpain avgcumdosew3 if gender==2 ///
>    || lowess WHPpain avgcumdosew3 if gender==2, ///
>    ti(Pain & avg cumulative reconstructed {superscript:137}CS dose) ///
>    subti(among females in wave three) ///
>    xti(average cumulative dose for wave one in milliGrays) ///
>    yti(Pain subscale score)  ///
>     legend(rows(2))

. graph save fPainVD3.gph, replace
(file fPainVD3.gph saved)

. graph export fPainVD3.eps, replace
(file fPainVD3.eps written in EPS format)

.
.
. // sjlog using femPainRegTr, replace
.
. *----------- Presented manually trimmed models ---------------------------------
. est clear

.
. //   socio-demog  manuall trimmed to .10:
. regress WHPpain age educ2-educ7 marrw11-marrw13 marrw15  ///
>   havmil radhlw1  ///
>    bfffpain2 bfffpain9 avgcumdosew1 if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     362
                                                       F( 15,   361) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.4895
                                                       Root MSE      =  16.326

(Std. Err. adjusted for 362 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .3149962    .1113547      2.83    0.005      .0960109     .5339815
       educ2 |    27.16401    4.349169      6.25    0.000      18.61112      35.7169
       educ3 |     21.5506    4.220445      5.11    0.000      13.25086     29.85035
       educ4 |    23.37946    5.934744      3.94    0.000      11.70844     35.05047
       educ5 |    16.64133    4.049502      4.11    0.000      8.677749      24.6049
       educ6 |    15.59623    3.983016      3.92    0.000        7.7634     23.42906
       educ7 |    5.423939     7.66321      0.71    0.480     -9.646202     20.49408
     marrw11 |   -2.846145     4.56045     -0.62    0.533     -11.81453      6.12224
     marrw12 |     2.44895    10.54716      0.23    0.817     -18.29264     23.19054
     marrw13 |    -6.03832    4.603947     -1.31    0.191     -15.09224     3.015604
     marrw15 |   -14.60872    6.601064     -2.21    0.028     -27.59009    -1.627349
      havmil |    .0009928    .0015838      0.63    0.531     -.0021218     .0041074
     radhlw1 |   -.0228971    .0249127     -0.92    0.359     -.0718893     .0260951
   bfffpain2 |   -3.189878    .3874148     -8.23    0.000     -3.951751    -2.428005
   bfffpain9 |    2.104301    .6874536      3.06    0.002      .7523841     3.456217
avgcumdosew1 |    2.887038    2.046904      1.41    0.159     -1.138315     6.912391
       _cons |     14.4813    10.93096      1.32    0.186      -7.01505     35.97766
-------------+----------------------------------------------------------------

. eststo wave1

.
. // manually simultaneously trimmed to .10:
. set more off

. regress WHPpain age  childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 radhlw2 radchw2 ///
>   radtlw2 havmil bfffpain11 bfffpain14 bfffpain15 ///
>   bfffpain17 bfffpain21 bfffpain25 ///
>   bfpn11Xd2 avgcumdosew2 `bfw2b' if gender==2

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 31,   331) =   12.95
       Model |  98913.4752    31  3190.75726           Prob > F      =  0.0000
    Residual |  81533.3884   331  246.324436           R-squared     =  0.5482
-------------+------------------------------           Adj R-squared =  0.5058
       Total |  180446.864   362  498.471999           Root MSE      =  15.695

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .1989545    .1033169      1.93    0.055     -.0042859      .402195
     childw2 |     1.94167    1.177195      1.65    0.100     -.3740584     4.257397
     emplw22 |    1.357603    7.001555      0.19    0.846     -12.41555     15.13076
     emplw23 |    1.007554    7.460699      0.14    0.893     -13.66881     15.68392
     emplw24 |   -2.182288    17.47187     -0.12    0.901     -36.55219     32.18761
     emplw25 |    11.90294    8.095655      1.47    0.142     -4.022478     27.82837
     emplw26 |    .4261291    7.527861      0.06    0.955     -14.38235     15.23461
      occ1w2 |    16.97924    8.273661      2.05    0.041       .703646     33.25482
      occ2w2 |    17.87478    8.515428      2.10    0.037      1.123596     34.62596
      occ3w2 |    18.82093    8.684719      2.17    0.031       1.73673     35.90514
      occ4w2 |    19.27829    9.209753      2.09    0.037      1.161259     37.39531
      occ5w2 |     20.5761    9.769155      2.11    0.036      1.358636     39.79356
      occ6w2 |    19.59901    9.729629      2.01    0.045      .4593069     38.73872
      occ7w2 |    10.66718     9.06973      1.18    0.240     -7.174405     28.50876
      occ8w2 |    13.94852    8.931521      1.56    0.119     -3.621181     31.51822
      inc1w2 |   -9.624302    8.442618     -1.14    0.255     -26.23225     6.983651
      inc2w2 |   -10.23959    8.331522     -1.23    0.220       -26.629      6.14982
      inc3w2 |   -14.16643    8.396595     -1.69    0.093     -30.68385     2.350993
      inc4w2 |   -17.73316    9.901539     -1.79    0.074     -37.21104     1.744724
     radhlw2 |    .0143386    .0309488      0.46    0.643     -.0465426     .0752199
     radchw2 |   -.0110978    .0338735     -0.33    0.743     -.0777324     .0555368
     radtlw2 |    .0205287     .034707      0.59    0.555     -.0477454     .0888028
      havmil |   -.0014928      .00378     -0.39    0.693     -.0089287     .0059432
  bfffpain11 |    .0957743    .0099645      9.61    0.000      .0761727      .115376
  bfffpain14 |   -.0005795    .0001186     -4.89    0.000     -.0008129    -.0003462
  bfffpain15 |   -.0008039    .0001478     -5.44    0.000     -.0010946    -.0005132
  bfffpain17 |    2.736049    .5017608      5.45    0.000      1.749007     3.723091
  bfffpain21 |     -.00029    .0000949     -3.06    0.002     -.0004766    -.0001033
  bfffpain25 |    .0000392    6.43e-06      6.10    0.000      .0000266     .0000519
   bfpn11Xd2 |   -.0004056    .0024852     -0.16    0.870     -.0052944     .0044831
avgcumdosew2 |     .716212    .7485934      0.96    0.339     -.7563886     2.188813
       _cons |   -9.523256    7.657394     -1.24    0.215     -24.58655     5.540039
-------------+----------------------------------------------------------------

. eststo wave2

.
. // manually simultaneously trimmed to .10:
. regress WHPpain age educ2-educ7  bfffpain3 ///
>    bfffpain8-bfffpain12 bfffpain14 bfffpain16 ///
>    bfffpain21-bfffpain34 avgcumdosew3 if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     363
                                                       F( 26,   362) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.6870
                                                       Root MSE      =  12.984

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .2642201    .0684664      3.86    0.000      .1295782     .3988619
       educ2 |    10.18435    3.406269      2.99    0.003      3.485794     16.88291
       educ3 |    7.366582    2.565716      2.87    0.004      2.321001     12.41216
       educ4 |    11.15454    3.932469      2.84    0.005      3.421188     18.88789
       educ5 |    6.316485    2.562699      2.46    0.014      1.276838     11.35613
       educ6 |    5.228082    2.448383      2.14    0.033      .4132425     10.04292
       educ7 |   -1.916834    8.900954     -0.22    0.830     -19.42091     15.58724
   bfffpain3 |    .1230802    .0385623      3.19    0.002      .0472459     .1989146
   bfffpain8 |    1.698572    .3368328      5.04    0.000      1.036177     2.360966
   bfffpain9 |   -1.105709     .310253     -3.56    0.000     -1.715833    -.4955843
  bfffpain11 |    .0186909    .0094106      1.99    0.048      .0001846     .0371972
  bfffpain12 |    .1030104    .0227413      4.53    0.000      .0582888     .1477321
  bfffpain14 |   -.0002547    .0000471     -5.41    0.000     -.0003473    -.0001621
  bfffpain16 |    .1059307    .0144694      7.32    0.000       .077476     .1343853
  bfffpain21 |    -.000324    .0000813     -3.99    0.000     -.0004838    -.0001642
  bfffpain22 |   -.0001226     .000043     -2.85    0.005     -.0002071     -.000038
  bfffpain23 |    -.002612     .000528     -4.95    0.000     -.0036502    -.0015737
  bfffpain24 |   -.0054488    .0019768     -2.76    0.006     -.0093362    -.0015615
  bfffpain25 |    .0000457    .0000128      3.56    0.000      .0000205     .0000709
  bfffpain26 |   -.0006432    .0001015     -6.34    0.000     -.0008428    -.0004437
  bfffpain27 |   -.0000768    .0000188     -4.08    0.000     -.0001138    -.0000398
  bfffpain28 |    3.81e-06    1.24e-06      3.09    0.002      1.38e-06     6.24e-06
  bfffpain29 |    17.62047    3.792054      4.65    0.000      10.16325     25.07769
  bfffpain32 |   -9.925675    2.574852     -3.85    0.000     -14.98922    -4.862128
  bfffpain33 |    .6115375    .1195159      5.12    0.000      .3765049     .8465702
  bfffpain34 |    3.538414    .2847616     12.43    0.000      2.978419     4.098408
avgcumdosew3 |   -.1052353    .4490107     -0.23    0.815     -.9882323     .7777618
       _cons |   -10.08426    4.871599     -2.07    0.039     -19.66445     -.504067
-------------+----------------------------------------------------------------

. eststo wave3

.
.
.  estout  *,  cells(b(star fmt(%9.3f)) se(par)  p)                ///
>              stats(r2_a bic N, fmt(%9.3f %9.0g) labels(adjR^2 BIC))  ///
>               legend collabels(none) varlabels(_cons Constant)  ///
>               title("Manually simultanously trimmed to .10 " ///
>                   "of reconstructed dose on female pain")

Manually simultanously trimmed to .10  of reconstructed dose on female pain
------------------------------------------------------------
                    wave1           wave2           wave3
------------------------------------------------------------
age                 0.315**         0.199           0.264***
                  (0.111)         (0.103)         (0.068)
                    0.005           0.055           0.000
educ2              27.164***                       10.184**
                  (4.349)                         (3.406)
                    0.000                           0.003
educ3              21.551***                        7.367**
                  (4.220)                         (2.566)
                    0.000                           0.004
educ4              23.379***                       11.155**
                  (5.935)                         (3.932)
                    0.000                           0.005
educ5              16.641***                        6.316*
                  (4.050)                         (2.563)
                    0.000                           0.014
educ6              15.596***                        5.228*
                  (3.983)                         (2.448)
                    0.000                           0.033
educ7               5.424                          -1.917
                  (7.663)                         (8.901)
                    0.480                           0.830
marrw11            -2.846
                  (4.560)
                    0.533
marrw12             2.449
                 (10.547)
                    0.817
marrw13            -6.038
                  (4.604)
                    0.191
marrw15           -14.609*
                  (6.601)
                    0.028
havmil              0.001          -0.001
                  (0.002)         (0.004)
                    0.531           0.693
radhlw1            -0.023
                  (0.025)
                    0.359
bfffpain2          -3.190***
                  (0.387)
                    0.000
bfffpain9           2.104**                        -1.106***
                  (0.687)                         (0.310)
                    0.002                           0.000
avgcumdosew1        2.887
                  (2.047)
                    0.159
childw2                             1.942
                                  (1.177)
                                    0.100
emplw22                             1.358
                                  (7.002)
                                    0.846
emplw23                             1.008
                                  (7.461)
                                    0.893
emplw24                            -2.182
                                 (17.472)
                                    0.901
emplw25                            11.903
                                  (8.096)
                                    0.142
emplw26                             0.426
                                  (7.528)
                                    0.955
occ1w2                             16.979*
                                  (8.274)
                                    0.041
occ2w2                             17.875*
                                  (8.515)
                                    0.037
occ3w2                             18.821*
                                  (8.685)
                                    0.031
occ4w2                             19.278*
                                  (9.210)
                                    0.037
occ5w2                             20.576*
                                  (9.769)
                                    0.036
occ6w2                             19.599*
                                  (9.730)
                                    0.045
occ7w2                             10.667
                                  (9.070)
                                    0.240
occ8w2                             13.949
                                  (8.932)
                                    0.119
inc1w2                             -9.624
                                  (8.443)
                                    0.255
inc2w2                            -10.240
                                  (8.332)
                                    0.220
inc3w2                            -14.166
                                  (8.397)
                                    0.093
inc4w2                            -17.733
                                  (9.902)
                                    0.074
radhlw2                             0.014
                                  (0.031)
                                    0.643
radchw2                            -0.011
                                  (0.034)
                                    0.743
radtlw2                             0.021
                                  (0.035)
                                    0.555
bfffpain11                          0.096***        0.019*
                                  (0.010)         (0.009)
                                    0.000           0.048
bfffpain14                         -0.001***       -0.000***
                                  (0.000)         (0.000)
                                    0.000           0.000
bfffpain15                         -0.001***
                                  (0.000)
                                    0.000
bfffpain17                          2.736***
                                  (0.502)
                                    0.000
bfffpain21                         -0.000**        -0.000***
                                  (0.000)         (0.000)
                                    0.002           0.000
bfffpain25                          0.000***        0.000***
                                  (0.000)         (0.000)
                                    0.000           0.000
bfpn11Xd2                          -0.000
                                  (0.002)
                                    0.870
avgcumdosew2                        0.716
                                  (0.749)
                                    0.339
bfffpain3                                           0.123**
                                                  (0.039)
                                                    0.002
bfffpain8                                           1.699***
                                                  (0.337)
                                                    0.000
bfffpain12                                          0.103***
                                                  (0.023)
                                                    0.000
bfffpain16                                          0.106***
                                                  (0.014)
                                                    0.000
bfffpain22                                         -0.000**
                                                  (0.000)
                                                    0.005
bfffpain23                                         -0.003***
                                                  (0.001)
                                                    0.000
bfffpain24                                         -0.005**
                                                  (0.002)
                                                    0.006
bfffpain26                                         -0.001***
                                                  (0.000)
                                                    0.000
bfffpain27                                         -0.000***
                                                  (0.000)
                                                    0.000
bfffpain28                                          0.000**
                                                  (0.000)
                                                    0.002
bfffpain29                                         17.620***
                                                  (3.792)
                                                    0.000
bfffpain32                                         -9.926***
                                                  (2.575)
                                                    0.000
bfffpain33                                          0.612***
                                                  (0.120)
                                                    0.000
bfffpain34                                          3.538***
                                                  (0.285)
                                                    0.000
avgcumdosew3                                       -0.105
                                                  (0.449)
                                                    0.815
Constant           14.481          -9.523         -10.084*
                 (10.931)         (7.657)         (4.872)
                    0.186           0.215           0.039
------------------------------------------------------------
adjR^2              0.466           0.506           0.662
BIC              3126.136        3184.185        3021.428
N                     362             363             363
------------------------------------------------------------
* p<0.05, ** p<0.01, *** p<0.001

.
. // sjlog close, replace
. // translate femPainRegTr.smcl femPainRegTr.pdf
.
. //  wave 1 possible socio-demog covariates full Female model
. regress WHPpain age educ2-educ7 marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 avgcumdosew1 if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     361
                                                       F( 28,   360) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.2824
                                                       Root MSE      =  19.789

(Std. Err. adjusted for 361 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |     .537444    .1633407      3.29    0.001      .2162222     .8586657
       educ2 |    21.92515    7.073807      3.10    0.002       8.01398     35.83633
       educ3 |    15.09003    5.736685      2.63    0.009      3.808409     26.37166
       educ4 |    13.99178    7.881628      1.78    0.077     -1.508036      29.4916
       educ5 |     5.90552    5.804876      1.02    0.310     -5.510207     17.32125
       educ6 |    4.595254    5.590093      0.82    0.412     -6.398087     15.58859
       educ7 |   -3.585818    8.563064     -0.42    0.676     -20.42573     13.25409
     marrw11 |   -8.918784    6.847712     -1.30    0.194     -22.38533     4.547758
     marrw12 |   -1.958642    14.25906     -0.14    0.891     -30.00015     26.08287
     marrw13 |   -11.65534    7.345918     -1.59    0.113     -26.10164     2.790961
     marrw15 |   -18.26463    10.45948     -1.75    0.082     -38.83399     2.304732
     childw1 |    2.123843    2.085884      1.02    0.309     -1.978206     6.225891
     emplw12 |    4.296345    5.928944      0.72    0.469      -7.36337     15.95606
     emplw13 |   -3.283768    5.903416     -0.56    0.578     -14.89328     8.325745
     emplw14 |    2.304267    5.586697      0.41    0.680     -8.682395     13.29093
     emplw15 |   -4.537654    14.64111     -0.31    0.757     -33.33051      24.2552
     emplw16 |     4.29979    6.111974      0.70    0.482     -7.719868     16.31945
      occ1w1 |    15.71086    12.64648      1.24    0.215     -9.159399     40.58112
      occ2w1 |    21.05361    13.08106      1.61    0.108      -4.67129      46.7785
      occ3w1 |    20.43142     13.1903      1.55    0.122       -5.5083     46.37115
      occ4w1 |    16.80658    13.15824      1.28    0.202     -9.070091     42.68326
      occ5w1 |    22.07369     14.6111      1.51    0.132     -6.660136     50.80752
      occ6w1 |    10.35101    14.40774      0.72    0.473     -17.98289     38.68491
      occ7w1 |    20.00342    16.14399      1.24    0.216     -11.74496      51.7518
      occ8w1 |    18.30226    12.34146      1.48    0.139     -5.968158     42.57268
      inc1w1 |   -12.08317    12.15085     -0.99    0.321     -35.97874      11.8124
      inc2w1 |   -14.70769    12.00904     -1.22    0.221     -38.32438     8.908999
      inc3w1 |   -11.05238    12.48713     -0.89    0.377     -35.60926      13.5045
      inc4w1 |   -9.922959    13.46885     -0.74    0.462     -36.41047     16.56455
avgcumdosew1 |    4.981513    2.613482      1.91    0.057     -.1580964     10.12112
       _cons |    -20.7401    11.78019     -1.76    0.079     -43.90672     2.426528
-------------+----------------------------------------------------------------

.
.  // average cum dose is not a significant main effect in full model for wave 1
.
. local hyp = 1

. local pt = 1

. local wv = 1

.
. scalar hyp=1

. scalar pt=1

. scalar wv =1

. scalar dsigfw1 = 0

.
. // we do not count constant as a main effect
. matrix define H1p1FPnDosew1 = J(1,12,0)

. matrix  colnames H1p1FPnDosew1 = hypnum ptnum wv dsigfw1 dsigtw1 numMainEffsigFw1 numMainEffsigTw1 numModFw1 numModTw1 numbfsigfw1 numbfsigtw1 numMedw1

. matrix  rownames H1p1FPnDosew1 = wave1

. matlist H1p1FPnDosew1

   | hypnum    ptnum    wv    dsigfw1    dsigtw1    numMain~1    numMain~1    numModFw1    numModTw1    numbfsi~1    numbfsi~1
-------------+-------------------------------------------------------------------------------------------------------------------------
wave1   |         0            0            0            0            0            0            0            0            0            0            0

   | numMedw1
-------------+-----------
wave1   |         0

.
.
. set more off

. des WHPpain age educ2-educ7 marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 radhlw1 radchw1 ///
>   radtlw1 havmil bfffpain2-bfffpain34

              storage  display     value
variable name   type   format      label      variable label
-------------


WHPpain           double   %9.0g                        Wtd Health Profile Pain Pt 1 subscale


age               byte     %8.0g                    *   Respondent's age


educ2             byte     %8.0g                        educ==2. graduated high school


educ3             byte     %8.0g                        educ==3. technical degree


educ4             byte     %8.0g                        educ==4. did not finish college/bachelor's


educ5             byte     %8.0g                        educ==5. graduated college/bachelor's


educ6             byte     %8.0g                        educ==6. finished specialist/master's degree


educ7             byte     %8.0g                        educ==7. doctor of science/phd


marrw11           byte     %8.0g                        marrw1==1. single


marrw12           byte     %8.0g                        marrw1==2. cohabitating


marrw13           byte     %8.0g                        marrw1==3. married


marrw15           byte     %8.0g                        marrw1==5. divorced


childw1           byte     %8.0g                        number of children in 1986


emplw12           byte     %8.0g                        emplw1==1. full time


emplw13           byte     %8.0g                        emplw1==2. part time


emplw14           byte     %8.0g                        emplw1==3. voluntary


emplw15           byte     %8.0g                        emplw1==4. retired


emplw16           byte     %8.0g                        emplw1==5. unemployed


occ1w1            byte     %15.0g        LABJ           profess executive administration in 1986


occ2w1            byte     %15.0g        LABJ           technical sales admin support  in 1986


occ3w1            byte     %15.0g        LABJ           service occup protective services  in 1986


occ4w1            byte     %15.0g        LABJ           precision prod mechan craft construction  in 1986


occ5w1            byte     %15.0g        LABJ           factory laborer machinist transp cleaner  in 1986


occ6w1            byte     %15.0g        LABJ           farming agricul forestry fishing trapping logging  in 1986


occ7w1            byte     %15.0g        LABJ           homemaking or caregiving  in 1986


occ8w1            byte     %15.0g        LABJ           student  in 1986


inc1w1            byte     %15.0g        LABJ           Income is not sufficient for basic neccessities in 1986


inc2w1            byte     %15.0g        LABJ           Income is just sufficient for basic neccessities in 1986


inc3w1            byte     %15.0g        LABJ           Income is sufficient for basics plus extra purchases/savings in 1986


inc4w1            byte     %15.0g        LABJ           Income allows to comfortably afford luxury items in 1986


radhlw1           byte     %8.0g                        Self-perceived Chornobyl health threat in wave 1


radchw1           byte     %8.0g                        believed % of polution related to chornobyl in 1986


radtlw1           byte     %8.0g                        believed % of cumulative radiation exposed to in a lifetime in 1986


havmil            double   %9.0g                        Distance from Chornobyl in miles


bfffpain2         byte     %9.0g                        max(0, 23 - BSIsoma)


bfffpain3         float    %9.0g                         max(0, hospw3 - 1.57823e-007)


bfffpain4         float    %9.0g                        max(0, occ3w2 + 2.13147e-009)


bfffpain5         byte     %9.0g                        max(0, shhlw1 -30)


bfffpain6         byte     %9.0g                        max(0, 30-shhlw1)


bfffpain7         byte     %9.0g                         max(0, inc1w3 - 7.3627e-009) * bfffpain5


bfffpain8         byte     %9.0g                        max(0, BSIsoma - 13)


bfffpain9         byte     %9.0g                        max(0, 13-BSIsoma)


bfffpain11        int      %9.0g                        max(0, 80- radw2)*bfffpain8 female pain series


bfffpain12        float    %9.0g                         max(0, physdisagw3 - 10) * bfffpain9


bfffpain13        float    %9.0g                        max(0, 10 - physdisagw3) * bfffpain9


bfffpain14        float    %9.0g                         max(0, havmil - 112.275) * bfffpain11


bfffpain15        float    %9.0g                         max(0, 112.275 - havmil) * bfffpain11


bfffpain16        float    %9.0g                         max(0, painmedspw3 - 4.33161e-008) * bfffpain3


bfffpain17        float    %9.0g                        max(0, defnw2 - 90)* bfffpain4


bfffpain19        float    %9.0g                         (CSprbslv != . ) * bfffpain15


bfffpain21        float    %9.0g                        max(0, CSprbslv - 29) * bfffpain19


bfffpain22        float    %9.0g                        max(0, 29-CSprbslv)*bfffpain19


bfffpain23        float    %9.0g                        max(0, shrelaw1 - 10)*bfffpain16


bfffpain24        float    %9.0g                        max(0, 10-shrelaw1)*bfffpain16


bfffpain25        float    %9.0g                        max(0, suchrw2 - 2.24572e-006) * bfffpain23


bfffpain26        float    %9.0g                        max(0, neiw3 - 80) * bfffpain24


bfffpain27        float    %9.0g                        max((0, 80 - neiw3) * bfffpain24 )


bfffpain28        float    %9.0g                        max(0, age - 28)*bfffpain22


bfffpain29        float    %9.0g                        (medcow3 != .)* bfffpain4


bfffpain32        float    %9.0g                        max(0, 3- medcow3) * bfffpain29


bfffpain33        float    %9.0g                         max(0, PTSDw3 + 3.81914e-008) * bfffpain32


bfffpain34        float    %9.0g                         max(0, occ4w3 - 9.59584e-010) * bfffpain3


.
. set more off

. regress WHPpain age educ2-educ7 marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 radhlw1 radchw1 ///
>   radtlw1 havmil bfffpain2 bfffpain5 bfffpain8 bfffpain9 bfffpain19 ///
>   bfffpain23 bfffpain24 bfffpain34 avgcumdosew1 if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     360
                                                       F( 40,   359) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.5401
                                                       Root MSE      =  16.149

(Std. Err. adjusted for 360 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .2539292    .1509908      1.68    0.093     -.0430083     .5508667
       educ2 |    19.67227     5.96572      3.30    0.001      7.940124     31.40442
       educ3 |    14.71946    5.285104      2.79    0.006      4.325811     25.11312
       educ4 |    16.58651    6.893866      2.41    0.017      3.029076     30.14395
       educ5 |     10.2256     5.23379      1.95    0.052      -.067142     20.51834
       educ6 |    9.323789    5.187485      1.80    0.073     -.8778881     19.52547
       educ7 |   -.0287014    8.297594     -0.00    0.997      -16.3467      16.2893
     marrw11 |   -2.381092    5.037066     -0.47    0.637     -12.28695     7.524771
     marrw12 |    2.337756    12.48467      0.19    0.852     -22.21453     26.89004
     marrw13 |   -6.931572    5.460167     -1.27    0.205      -17.6695     3.806361
     marrw15 |   -14.49278    7.076702     -2.05    0.041     -28.40978    -.5757781
     childw1 |     1.59913    1.791435      0.89    0.373     -1.923896     5.122155
     emplw12 |   -1.809486    4.871335     -0.37    0.711     -11.38942     7.770451
     emplw13 |   -8.902873    4.989581     -1.78    0.075     -18.71535     .9096072
     emplw14 |   -5.521865    5.490343     -1.01    0.315     -16.31914      5.27541
     emplw15 |    .5065772    10.27843      0.05    0.961     -19.70691     20.72007
     emplw16 |   -3.015676     5.08059     -0.59    0.553     -13.00713     6.975782
      occ1w1 |    8.045109    12.15217      0.66    0.508     -15.85327     31.94348
      occ2w1 |    12.90945     12.5173      1.03    0.303     -11.70698     37.52589
      occ3w1 |    14.78797    12.55803      1.18    0.240     -9.908569     39.48452
      occ4w1 |    7.488842    12.95096      0.58    0.563     -17.98043     32.95811
      occ5w1 |    7.703611     12.9526      0.59    0.552     -17.76889     33.17611
      occ6w1 |    9.520528    13.27121      0.72    0.474     -16.57856     35.61961
      occ7w1 |    12.75732    14.04248      0.91    0.364     -14.85854     40.37317
      occ8w1 |    11.22932    12.26186      0.92    0.360     -12.88479     35.34343
      inc1w1 |   -4.743502    11.41398     -0.42    0.678     -27.19016     17.70316
      inc2w1 |   -5.214478     11.4206     -0.46    0.648     -27.67417     17.24521
      inc3w1 |    -2.34582    11.77112     -0.20    0.842     -25.49484      20.8032
      inc4w1 |   -.6139275     12.4463     -0.05    0.961     -25.09074     23.86289
     radhlw1 |   -.0098396    .0305349     -0.32    0.747     -.0698893     .0502102
     radchw1 |    .0014346    .0296976      0.05    0.961     -.0569685     .0598378
     radtlw1 |    .0027195    .0299331      0.09    0.928     -.0561469     .0615858
      havmil |    .0022644    .0019723      1.15    0.252     -.0016143      .006143
   bfffpain2 |   -2.345164      1.2533     -1.87    0.062     -4.809897     .1195685
   bfffpain5 |    .0162578    .0406429      0.40    0.689     -.0636703     .0961859
   bfffpain8 |    .7175689    1.106425      0.65    0.517     -1.458319     2.893457
   bfffpain9 |    1.457033    1.396617      1.04    0.298     -1.289545     4.203612
  bfffpain19 |   -.0000122    .0000849     -0.14    0.886     -.0001791     .0001547
  bfffpain23 |    .0004803    .0003397      1.41    0.158     -.0001877     .0011483
  bfffpain24 |    .0024684     .002253      1.10    0.274     -.0019624     .0068992
  bfffpain34 |    3.187072    .3177693     10.03    0.000      2.562149     3.811995
avgcumdosew1 |    2.899549    2.159226      1.34    0.180     -1.346772      7.14587
       _cons |    8.965248    17.20189      0.52    0.603     -24.86388     42.79438
-------------+----------------------------------------------------------------

.
.  scalar fw1 = e(r2_a)

.  scalar list fw1
       fw1 =  .47914642

.  scalar dsigfw1 = 0

.  scalar numMainEffsigFw1=5

.  scalar numbfsigfw1 = 1

.
.
. // results show bfffpain34 is significant but that is all: rescaled occ4w3  &
. // interacting with hospw3 rescaled.
.
. // wave 1 trimmed model of possible socio-demog covariates Female model
. set more off

. sw, pr(.1) :  regress WHPpain age educ2-educ7 marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 avgcumdosew1 if gender==2


  begin with full model


p = 0.9140 >= 0.1000  removing emplw14


p = 0.8848 >= 0.1000  removing educ7


p = 0.8730 >= 0.1000  removing marrw12


p = 0.7098 >= 0.1000  removing emplw15


p = 0.7636 >= 0.1000  removing emplw13


p = 0.5549 >= 0.1000  removing educ6


p = 0.7183 >= 0.1000  removing educ5


p = 0.3532 >= 0.1000  removing occ6w1


p = 0.5283 >= 0.1000  removing inc4w1


p = 0.4126 >= 0.1000  removing inc3w1


p = 0.5572 >= 0.1000  removing inc1w1


p = 0.2735 >= 0.1000  removing occ4w1


p = 0.3018 >= 0.1000  removing occ1w1


p = 0.3072 >= 0.1000  removing occ8w1


p = 0.3619 >= 0.1000  removing marrw11


p = 0.2638 >= 0.1000  removing occ5w1


p = 0.2042 >= 0.1000  removing childw1


p = 0.1960 >= 0.1000  removing occ3w1


p = 0.2483 >= 0.1000  removing inc2w1


p = 0.2383 >= 0.1000  removing marrw13


p = 0.3028 >= 0.1000  removing marrw15


p = 0.2602 >= 0.1000  removing occ2w1


p = 0.2615 >= 0.1000  removing occ7w1


p = 0.1226 >= 0.1000  removing emplw12


p = 0.3737 >= 0.1000  removing emplw16


      Source |       SS       df       MS              Number of obs =     361
-------------+------------------------------           F(  5,   355) =   22.05
       Model |  42674.0832     5  8534.81665           Prob > F      =  0.0000
    Residual |  137400.259   355  387.042984           R-squared     =  0.2370
-------------+------------------------------           Adj R-squared =  0.2262
       Total |  180074.343   360  500.206507           Root MSE      =  19.673

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .5643203    .0933787      6.04    0.000      .3806754     .7479653
       educ2 |    17.67312    4.411403      4.01    0.000      8.997352     26.34889
       educ3 |    10.93506    2.279952      4.80    0.000      6.451149     15.41897
       educ4 |    10.14956    4.276936      2.37    0.018      1.738239     18.56087
avgcumdosew1 |    4.793874    1.919043      2.50    0.013      1.019751     8.567997
       _cons |    -17.7037    4.670141     -3.79    0.000     -26.88832    -8.519082
-------------+----------------------------------------------------------------

. set more off

. sw,  pr(.1): regress WHPpain age educ2-educ7 marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 radhlw1 radchw1 ///
>   radtlw1 illw1 havmil avgcumdosew1 if gender==2


  begin with full model


p = 0.9467 >= 0.1000  removing havmil


p = 0.8751 >= 0.1000  removing radchw1


p = 0.8416 >= 0.1000  removing educ6


p = 0.8039 >= 0.1000  removing emplw13


p = 0.8502 >= 0.1000  removing emplw15


p = 0.8307 >= 0.1000  removing educ5


p = 0.6593 >= 0.1000  removing emplw14


p = 0.6622 >= 0.1000  removing marrw12


p = 0.5192 >= 0.1000  removing occ6w1


p = 0.5881 >= 0.1000  removing inc4w1


p = 0.5195 >= 0.1000  removing educ7


p = 0.3541 >= 0.1000  removing inc3w1


p = 0.5554 >= 0.1000  removing inc1w1


p = 0.3405 >= 0.1000  removing occ4w1


p = 0.4073 >= 0.1000  removing occ1w1


p = 0.3745 >= 0.1000  removing inc2w1


p = 0.4337 >= 0.1000  removing occ8w1


p = 0.4071 >= 0.1000  removing occ5w1


p = 0.2811 >= 0.1000  removing occ3w1


p = 0.2763 >= 0.1000  removing occ7w1


p = 0.2346 >= 0.1000  removing childw1


p = 0.2577 >= 0.1000  removing occ2w1


p = 0.1948 >= 0.1000  removing radhlw1


p = 0.1141 >= 0.1000  removing marrw15


p = 0.2112 >= 0.1000  removing marrw11


p = 0.3964 >= 0.1000  removing marrw13


p = 0.1643 >= 0.1000  removing emplw12


p = 0.5246 >= 0.1000  removing emplw16


      Source |       SS       df       MS              Number of obs =     360
-------------+------------------------------           F(  7,   352) =   17.01
       Model |  45428.8644     7  6489.83777           Prob > F      =  0.0000
    Residual |  134317.672   352  381.584295           R-squared     =  0.2527
-------------+------------------------------           Adj R-squared =  0.2379
       Total |  179746.536   359   500.68673           Root MSE      =  19.534

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .5733578    .0951252      6.03    0.000      .3862725     .7604431
       educ2 |    16.18213    4.418437      3.66    0.000      7.492275     24.87199
       educ3 |    9.817798    2.312627      4.25    0.000      5.269493      14.3661
       educ4 |    11.79404    4.290606      2.75    0.006      3.355592     20.23249
avgcumdosew1 |    4.678416    1.907184      2.45    0.015      .9275078     8.429323
       illw1 |    3.849899     2.12582      1.81    0.071     -.3310069     8.030805
     radtlw1 |   -.0560035    .0280126     -2.00    0.046     -.1110965    -.0009105
       _cons |   -14.94226     4.77508     -3.13    0.002     -24.33353    -5.550984
-------------+----------------------------------------------------------------

. ********************************************************************************
. // it is possible with some forms of trimming to have a significant dose effect
. // in the wave 1 female trimmed model
. **********   now we try it with basis functions included ***********************
. set more off

. sw, pr(.1): regress WHPpain age educ2-educ7 marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 radhlw1 radchw1 ///
>   radtlw1 havmil bfffpain2 bfffpain5 bfffpain8 bfffpain9 ///
>   avgcumdosew1 if gender==2, vce(cluster id)


  begin with full model


p = 0.9845 >= 0.1000  removing inc4w1


p = 0.9734 >= 0.1000  removing marrw12


p = 0.9712 >= 0.1000  removing educ7


p = 0.9007 >= 0.1000  removing radtlw1


p = 0.8146 >= 0.1000  removing emplw15


p = 0.8958 >= 0.1000  removing emplw12


p = 0.7486 >= 0.1000  removing radchw1


p = 0.6968 >= 0.1000  removing bfffpain5


p = 0.7121 >= 0.1000  removing radhlw1


p = 0.6316 >= 0.1000  removing inc3w1


p = 0.5047 >= 0.1000  removing bfffpain8


p = 0.5038 >= 0.1000  removing emplw16


p = 0.3463 >= 0.1000  removing marrw11


p = 0.3067 >= 0.1000  removing childw1


p = 0.2532 >= 0.1000  removing avgcumdosew1


p = 0.2917 >= 0.1000  removing havmil


p = 0.1868 >= 0.1000  removing occ4w1


p = 0.2073 >= 0.1000  removing occ5w1


p = 0.2273 >= 0.1000  removing inc2w1


p = 0.4121 >= 0.1000  removing inc1w1


p = 0.1543 >= 0.1000  removing occ6w1


p = 0.1730 >= 0.1000  removing occ1w1


p = 0.1601 >= 0.1000  removing marrw13


p = 0.1315 >= 0.1000  removing occ3w1


p = 0.1667 >= 0.1000  removing occ2w1


p = 0.2100 >= 0.1000  removing occ7w1


Linear regression                                      Number of obs =     360
                                                       F( 11,   359) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.4846
                                                       Root MSE      =   16.34

(Std. Err. adjusted for 360 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .3218759    .1083374      2.97    0.003      .1088201     .5349316
       educ2 |    24.96154    5.974077      4.18    0.000      13.21296     36.71013
       educ3 |    18.49262    5.216093      3.55    0.000      8.234683     28.75056
       educ4 |    19.81959    6.579144      3.01    0.003      6.881089      32.7581
       educ5 |    13.82823    5.356203      2.58    0.010      3.294758     24.36171
       educ6 |    12.31836    5.297531      2.33    0.021      1.900265     22.73645
     emplw14 |   -3.490956    1.440374     -2.42    0.016     -6.323587    -.6583243
     emplw13 |   -5.891912    1.905987     -3.09    0.002     -9.640215     -2.14361
   bfffpain9 |    2.273892    .6768116      3.36    0.001      .9428781     3.604905
   bfffpain2 |   -3.255091    .3813522     -8.54    0.000     -4.005056    -2.505126
     marrw15 |   -9.892398    4.678304     -2.11    0.035     -19.09272    -.6920744
      occ8w1 |    3.784473    2.237679      1.69    0.092     -.6161338      8.18508
       _cons |    11.93885    9.352251      1.28    0.203     -6.453227     30.33093
-------------+----------------------------------------------------------------

.
.   // only 2 basis functions (bfffpain9 and bfffpain2)remain significant but
.   // avgcumdosew1 dose does not.  Both of those are rescaled BSIsoma variables.
.
.
. scalar tw1bf = e(r2_a)

. scalar list tw1bf
     tw1bf =  .46676249

. scalar NumMainEffsigTw1= 11

. scalar numbfsigtw1 = 2

. scalar dsigtw1 = 3

.
. scalar w1numbf = 4

.
. // borderline significance of avgcumdosew1
. set more off

. sw, pr(.1): regress WHPpain age educ2-educ7 marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 radhlw1 radchw1 ///
>   radtlw1 havmil avgcumdosew1 if gender==2, vce(cluster id)


  begin with full model


p = 0.8905 >= 0.1000  removing havmil


p = 0.8690 >= 0.1000  removing radchw1


p = 0.8062 >= 0.1000  removing marrw12


p = 0.7570 >= 0.1000  removing emplw15


p = 0.8054 >= 0.1000  removing emplw13


p = 0.4948 >= 0.1000  removing occ6w1


p = 0.6298 >= 0.1000  removing inc4w1


p = 0.6289 >= 0.1000  removing inc3w1


p = 0.5030 >= 0.1000  removing inc1w1


p = 0.4345 >= 0.1000  removing educ6


p = 0.7216 >= 0.1000  removing educ5


p = 0.2774 >= 0.1000  removing occ4w1


p = 0.3550 >= 0.1000  removing occ1w1


p = 0.4077 >= 0.1000  removing occ5w1


p = 0.4190 >= 0.1000  removing occ7w1


p = 0.5252 >= 0.1000  removing occ8w1


p = 0.4032 >= 0.1000  removing inc2w1


p = 0.4593 >= 0.1000  removing occ3w1


p = 0.3084 >= 0.1000  removing childw1


p = 0.2351 >= 0.1000  removing occ2w1


p = 0.2148 >= 0.1000  removing radhlw1


p = 0.1024 >= 0.1000  removing marrw11


p = 0.4010 >= 0.1000  removing marrw13


p = 0.3815 >= 0.1000  removing marrw15


p = 0.1101 >= 0.1000  removing emplw12


p = 0.6795 >= 0.1000  removing emplw14


p = 0.5160 >= 0.1000  removing emplw16


Linear regression                                      Number of obs =     360
                                                       F(  7,   359) =   15.82
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.2469
                                                       Root MSE      =   19.61

(Std. Err. adjusted for 360 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .5993565    .0955932      6.27    0.000      .4113636     .7873494
       educ2 |    16.55084    5.041294      3.28    0.001      6.636666     26.46502
       educ3 |    10.14756    2.340312      4.34    0.000      5.545119        14.75
       educ4 |    11.24671    5.565892      2.02    0.044      .3008578     22.19256
avgcumdosew1 |    4.809118     2.44168      1.97    0.050      .0073255      9.61091
     radtlw1 |   -.0602172    .0271296     -2.22    0.027       -.11357    -.0068643
       educ7 |   -10.18689     4.61687     -2.21    0.028      -19.2664    -1.107385
       _cons |   -15.38974    4.675674     -3.29    0.001     -24.58489    -6.194583
-------------+----------------------------------------------------------------

.
. xi:regress WHPpain age i.educ radtlw1
i.educ            _IeducB1-8          (naturally coded; _IeducB1 omitted)

      Source |       SS       df       MS              Number of obs =     702
-------------+------------------------------           F(  9,   692) =   16.39
       Model |  49684.3705     9  5520.48561           Prob > F      =  0.0000
    Residual |  233077.686   692  336.817465           R-squared     =  0.1757
-------------+------------------------------           Adj R-squared =  0.1650
       Total |  282762.056   701  403.369553           Root MSE      =  18.353

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .5303766    .0603324      8.79    0.000      .4119201     .6488331
    _IeducB2 |    17.21877    18.63053      0.92    0.356     -19.36038     53.79792
    _IeducB3 |     12.2502    18.44621      0.66    0.507     -23.96705     48.46744
    _IeducB4 |    13.54639    18.63326      0.73    0.467     -23.03812     50.13091
    _IeducB5 |    6.348003    18.50162      0.34    0.732     -29.97804     42.67404
    _IeducB6 |    4.210683    18.44925      0.23    0.820     -32.01254     40.43391
    _IeducB7 |   -5.520646    19.86377     -0.28    0.781     -44.52113     33.47983
    _IeducB8 |   -11.73288    22.50573     -0.52    0.602     -55.92059     32.45483
     radtlw1 |   -.0044961    .0188427     -0.24    0.811     -.0414919     .0324997
       _cons |   -20.17713    18.88516     -1.07    0.286     -57.25622     16.90196
-------------+----------------------------------------------------------------

. matrix define x= e(b)

. local cn1 :colnames(x)

. di "`cn1'"
age _IeducB2 _IeducB3 _IeducB4 _IeducB5 _IeducB6 _IeducB7 _IeducB8 radtlw1 _cons

. local lcn1=length("`cn1'")

. di `lcn1'
80

. local lcn2 = `lcn1'-6

. di `lcn2'
74

. local nuvlist = substr("`cn1'",1,74)

. di "`nuvlist'"
age _IeducB2 _IeducB3 _IeducB4 _IeducB5 _IeducB6 _IeducB7 _IeducB8 radtlw1

.
.
. forvalues i=1/8{
  2. cap drop _Ieduc_`i'
  3. cap drop ageX_Ieduc_`i'
  4. cap drop radtlw1X_Ieduc_`i'
  5. cap drop radtlw1Xeduc`i'
  6. }

.
.
. forvalues i=1/8 {
  2. cap gen ageXeduc`i' = age*educ`i'
  3. cap gen radtlw1Xeduc`i' = radtlw1*educ`i'
  4. }

.
. forvalues i=1/8 {
  2. cap gen ageXd1 = age*avgcumdosew1
  3. cap gen educ`i'Xd1 = educ`i'*avgcumdosew1
  4. }

.
.
. regress WHPpain age  educ1-educ7 radtlw1  ///
>  if gender==2
note: educ7 omitted because of collinearity

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F(  8,   354) =   13.60
       Model |  42415.1809     8  5301.89761           Prob > F      =  0.0000
    Residual |  138031.683   354  389.920008           R-squared     =  0.2351
-------------+------------------------------           Adj R-squared =  0.2178
       Total |  180446.864   362  498.471999           Root MSE      =  19.746

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .6433721    .0935215      6.88    0.000      .4594444     .8272997
       educ1 |    3.950414    24.23646      0.16    0.871     -43.71514     51.61597
       educ2 |    27.02711    14.49175      1.86    0.063      -1.47364     55.52785
       educ3 |    20.66279    14.10116      1.47    0.144     -7.069783     48.39537
       educ4 |    21.61943    14.60632      1.48    0.140     -7.106644     50.34551
       educ5 |    12.35441    14.30308      0.86    0.388     -15.77528     40.48411
       educ6 |    10.02727    14.13324      0.71    0.478      -17.7684     37.82294
       educ7 |           0   (omitted)
     radtlw1 |   -.0609164    .0280487     -2.17    0.031     -.1160795    -.0057534
       _cons |   -26.50819    15.05345     -1.76    0.079     -56.11362      3.09725
-------------+----------------------------------------------------------------

.
. regress WHPpain age  educ1-educ7 radtlw1  ///
>   ageXeduc1-ageXeduc7 if gender==2
note: educ1 omitted because of collinearity
note: educ2 omitted because of collinearity

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 13,   349) =    8.45
       Model |  43189.8059    13  3322.29276           Prob > F      =  0.0000
    Residual |  137257.058   349  393.286698           R-squared     =  0.2393
-------------+------------------------------           Adj R-squared =  0.2110
       Total |  180446.864   362  498.471999           Root MSE      =  19.831

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .5047644    .1500047      3.36    0.001      .2097375     .7997914
       educ1 |           0   (omitted)
       educ2 |           0   (omitted)
       educ3 |    5.285777    20.89267      0.25    0.800     -35.80561     46.37716
       educ4 |    7.552456    26.12275      0.29    0.773     -43.82537     58.93028
       educ5 |    -3.21443    23.84724     -0.13    0.893     -50.11681     43.68795
       educ6 |    4.465011    20.33675      0.22    0.826       -35.533     44.46303
       educ7 |    30.50288    92.99311      0.33    0.743     -152.3945     213.4003
     radtlw1 |    -.059379     .028742     -2.07    0.040     -.1159083    -.0028497
   ageXeduc1 |     .023336    .4143541      0.06    0.955     -.7916092     .8382812
   ageXeduc2 |    .3818086    .3378843      1.13    0.259      -.282737     1.046354
   ageXeduc3 |    .2035836    .2208106      0.92    0.357     -.2307032     .6378705
   ageXeduc4 |    .1770986    .3759467      0.47    0.638     -.5623075     .9165046
   ageXeduc5 |    .2084794    .3165283      0.66    0.511     -.4140636     .8310224
   ageXeduc7 |   -.5648752     1.49068     -0.38    0.705     -3.496722     2.366972
       _cons |   -14.52723    19.18843     -0.76    0.450     -52.26675     23.21228
-------------+----------------------------------------------------------------

.
. regress WHPpain age  marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 radhlw1 radchw1 ///
>   radtlw1 havmil educ2-educ7   ///
>    ageXd1 educ1Xd1-educ8Xd1 avgcumdosew1 if gender==2
note: educ1Xd1 omitted because of collinearity
note: educ4Xd1 omitted because of collinearity
note: educ8Xd1 omitted because of collinearity

      Source |       SS       df       MS              Number of obs =     360
-------------+------------------------------           F( 40,   319) =    3.34
       Model |  53039.1297    40  1325.97824           Prob > F      =  0.0000
    Residual |  126707.406   319  397.201901           R-squared     =  0.2951
-------------+------------------------------           Adj R-squared =  0.2067
       Total |  179746.536   359   500.68673           Root MSE      =   19.93

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .4944551    .1924006      2.57    0.011      .1159207     .8729896
     marrw11 |   -9.365407    7.242927     -1.29    0.197     -23.61535     4.884534
     marrw12 |   -3.159165    12.13797     -0.26    0.795     -27.03975     20.72142
     marrw13 |    -12.3376    6.726465     -1.83    0.068     -25.57144     .8962369
     marrw15 |   -19.52835    11.17204     -1.75    0.081     -41.50853     2.451834
     childw1 |    2.023848    1.837728      1.10    0.272     -1.591749     5.639446
     emplw12 |    5.696465    8.567681      0.66    0.507     -11.15983     22.55276
     emplw13 |   -1.775785    9.655291     -0.18    0.854     -20.77188     17.22031
     emplw14 |    7.231981    21.91064      0.33    0.742     -35.87564      50.3396
     emplw15 |    -3.36379    13.64348     -0.25    0.805     -30.20636     23.47879
     emplw16 |    5.533914    8.762792      0.63    0.528     -11.70625     22.77408
      occ1w1 |    13.01472    8.776528      1.48    0.139     -4.252471     30.28191
      occ2w1 |    18.40079    9.279994      1.98    0.048      .1430698     36.65852
      occ3w1 |    17.90149    9.260513      1.93    0.054     -.3179086     36.12088
      occ4w1 |    13.88431    9.892345      1.40    0.161     -5.578167     33.34679
      occ5w1 |    18.24992     10.6653      1.71    0.088     -2.733292     39.23313
      occ6w1 |    7.428358    11.02375      0.67    0.501     -14.26009      29.1168
      occ7w1 |    17.63859    9.709371      1.82    0.070     -1.463907     36.74108
      occ8w1 |    14.75917    9.516396      1.55    0.122     -3.963654       33.482
      inc1w1 |   -10.94622     8.43844     -1.30    0.196     -27.54825     5.655801
      inc2w1 |    -12.5454    8.178181     -1.53    0.126     -28.63539     3.544584
      inc3w1 |   -9.524446    8.256643     -1.15    0.250      -25.7688     6.719908
      inc4w1 |   -8.737307    9.378697     -0.93    0.352     -27.18922     9.714607
     radhlw1 |    .0382488    .0368704      1.04    0.300     -.0342911     .1107887
     radchw1 |    .0048061    .0410599      0.12    0.907     -.0759764     .0855885
     radtlw1 |   -.0582861    .0430603     -1.35    0.177     -.1430043      .026432
      havmil |   -.0003909    .0049678     -0.08    0.937     -.0101646     .0093829
       educ2 |    6.432226    23.21597      0.28    0.782     -39.24354     52.10799
       educ3 |    2.476915    22.94424      0.11    0.914     -42.66424     47.61807
       educ4 |    11.69864    21.42054      0.55    0.585     -30.44473     53.84202
       educ5 |   -7.117095    23.21123     -0.31    0.759     -52.78352     38.54933
       educ6 |   -7.245055    22.98165     -0.32    0.753     -52.45981      37.9697
       educ7 |   -43.68813    69.25367     -0.63    0.529     -179.9398      92.5635
      ageXd1 |    .1521615    .3262956      0.47    0.641     -.4898017     .7941248
    educ1Xd1 |           0   (omitted)
    educ2Xd1 |    35.76901    22.81494      1.57    0.118      -9.11776     80.65578
    educ3Xd1 |    32.29052    22.53321      1.43    0.153     -12.04197       76.623
    educ4Xd1 |           0   (omitted)
    educ5Xd1 |    32.93131    23.08813      1.43    0.155     -12.49294     78.35556
    educ6Xd1 |    29.88168    23.19071      1.29    0.198     -15.74437     75.50774
    educ7Xd1 |    104.5705       183.8      0.57    0.570     -257.0429     466.1838
    educ8Xd1 |           0   (omitted)
avgcumdosew1 |   -36.45948    28.34624     -1.29    0.199     -92.22867     19.30972
       _cons |      -4.022    26.53825     -0.15    0.880     -56.23411     48.19011
-------------+----------------------------------------------------------------

.
. scalar numModsigFw1 = 0

. // there are no moderators in wave 1 for females for pain in full model
. // occupation is main effect
.
.
. scalar tw1nobf = e(r2_a)

.
. scalar r2chabf = tw1bf - tw1nobf

.
. sw, pr(.1):regress WHPpain age  marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 radhlw1 radchw1 ///
>   radtlw1 havmil educ2-educ7   ///
>    ageXd1 educ2Xd1-educ8Xd1 avgcumdosew2 if gender==2
note: educ8Xd1 dropped because of collinearity


  begin with full model


p = 0.9963 >= 0.1000  removing educ5Xd1


p = 0.9680 >= 0.1000  removing havmil


p = 0.9233 >= 0.1000  removing educ3Xd1


p = 0.8950 >= 0.1000  removing emplw13


p = 0.8623 >= 0.1000  removing emplw15


p = 0.8459 >= 0.1000  removing educ7Xd1


p = 0.9051 >= 0.1000  removing educ7


p = 0.8281 >= 0.1000  removing radchw1


p = 0.7771 >= 0.1000  removing marrw12


p = 0.7154 >= 0.1000  removing educ5


p = 0.9334 >= 0.1000  removing educ6


p = 0.6744 >= 0.1000  removing emplw14


p = 0.5684 >= 0.1000  removing educ6Xd1


p = 0.5344 >= 0.1000  removing occ6w1


p = 0.4700 >= 0.1000  removing inc4w1


p = 0.4647 >= 0.1000  removing inc3w1


p = 0.5258 >= 0.1000  removing inc1w1


p = 0.4422 >= 0.1000  removing educ2Xd1


p = 0.4219 >= 0.1000  removing occ4w1


p = 0.4202 >= 0.1000  removing occ1w1


p = 0.4915 >= 0.1000  removing occ8w1


p = 0.4364 >= 0.1000  removing occ5w1


p = 0.4634 >= 0.1000  removing inc2w1


p = 0.3155 >= 0.1000  removing occ3w1


p = 0.3329 >= 0.1000  removing occ7w1


p = 0.2724 >= 0.1000  removing childw1


p = 0.2414 >= 0.1000  removing radhlw1


p = 0.2214 >= 0.1000  removing avgcumdosew2


p = 0.1733 >= 0.1000  removing occ2w1


p = 0.1042 >= 0.1000  removing educ4Xd1


p = 0.1017 >= 0.1000  removing marrw15


p = 0.2289 >= 0.1000  removing marrw11


p = 0.4829 >= 0.1000  removing marrw13


p = 0.1582 >= 0.1000  removing emplw12


p = 0.5624 >= 0.1000  removing emplw16


      Source |       SS       df       MS              Number of obs =     360
-------------+------------------------------           F(  6,   353) =   19.21
       Model |  44245.6799     6  7374.27999           Prob > F      =  0.0000
    Residual |  135500.856   353  383.855117           R-squared     =  0.2462
-------------+------------------------------           Adj R-squared =  0.2333
       Total |  179746.536   359   500.68673           Root MSE      =  19.592

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .5724407     .096293      5.94    0.000      .3830606     .7618209
     radtlw1 |    -.058295    .0280355     -2.08    0.038     -.1134325    -.0031574
       educ3 |    10.36489    2.304624      4.50    0.000      5.832366      14.8974
       educ4 |    11.42103     4.29688      2.66    0.008       2.97033     19.87174
       educ2 |     16.7665     4.41966      3.79    0.000      8.074327     25.45868
      ageXd1 |    .0848203    .0331888      2.56    0.011      .0195478     .1500929
       _cons |   -14.23129    4.813121     -2.96    0.003     -23.69729    -4.765296
-------------+----------------------------------------------------------------

. scalar numMainEffsigTw1 = 5

. scalar numModsigTw1 = 1

.
. // in trimmed model age is a moderator in wave 1 for females
.
. matrix define FemaleWHPpainr2 = J(12,5,0)

. matrix colnames FemaleWHPpainr2 = FullBFR2a TR2aBF  TR2aNoBF  NumBF  BFR2cha

. matrix rownames FemaleWHPpainr2 = wave1  wave2  wave3  avg

. matlist FemaleWHPpainr2

   | FullBFR2a    TR2aBF    TR2aNoBF    NumBF    BFR2cha
-------------+-------------------------------------------------------
wave1   |         0            0            0            0            0
wave2   |         0            0            0            0            0
wave3   |         0            0            0            0            0
avg   |         0            0            0            0            0
avg   |         0            0            0            0            0
avg   |         0            0            0            0            0
avg   |         0            0            0            0            0
avg   |         0            0            0            0            0
avg   |         0            0            0            0            0
avg   |         0            0            0            0            0
avg   |         0            0            0            0            0
avg   |         0            0            0            0            0

.
.
. matrix define FemaleWHPpainr2w1 = ( fw1 , tw1bf, tw1nobf, w1numbf, r2chabf)

. matrix colnames FemaleWHPpainr2w1 = FullBFR2a TR2aBF  TR2aNoBF  NumBF  BFR2cha

. matrix rownames FemaleWHPpainr2w1 = wave1

.
.
. matlist FemaleWHPpainr2w1

   | FullBFR2a    TR2aBF    TR2aNoBF    NumBF    BFR2cha
-------------+-------------------------------------------------------
wave1   |  .4791464     .4667625     .2066858            4     .2600767

. cap gen whppain=WHPpain

.
. *-------Mediators for wave 1 female Pain---------------------------------------
. // age is possible mediator at wave1 for female Pain
. // education is another possible mediator
. sem (avgcumdosew1->age)(age->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  age whppain


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -3315.4901
Iteration 1:   log likelihood = -3315.4901

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3315.4901

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   age <-         |
    avgcumdosew1 |    3.973879    1.114596      3.57    0.000       1.78931     6.158447
           _cons |    48.88157    .7167212     68.20    0.000      47.47682     50.28632
  ---------------+----------------------------------------------------------------
   whppain <-     |
             age |    .7333239    .0909308      8.06    0.000      .5551028     .9115451
           _cons |    -18.8122    4.691527     -4.01    0.000     -28.00742    -9.616977
-----------------+----------------------------------------------------------------
 Variance         |
           e.age |    135.7032    10.07284                    117.3297     156.9539
       e.whppain |     421.567    31.29164                    364.4891     487.5832
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      6.86, Prob > chi2 = 0.0088

. sem (avgcumdosew1-> radtlw1)(radtlw1->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  radtlw1 whppain


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood =  -3776.135
Iteration 1:   log likelihood =  -3776.135

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =  -3776.135

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radtlw1 <-     |
    avgcumdosew1 |    1.429625    3.662884      0.39    0.696     -5.749497     8.608746
           _cons |    61.53962    2.355353     26.13    0.000      56.92321     66.15603
  ---------------+----------------------------------------------------------------
   whppain <-     |
         radtlw1 |   -.0462864    .0304649     -1.52    0.129     -.1059965     .0134237
           _cons |    20.88222    2.220504      9.40    0.000      16.53011     25.23433
-----------------+----------------------------------------------------------------
 Variance         |
       e.radtlw1 |    1465.553    108.7835                    1267.125     1695.054
       e.whppain |    493.9576    36.66497                    427.0784       571.31
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =     14.50, Prob > chi2 = 0.0001

. sem (avgcumdosew1-> educ2)(educ2-> whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  educ2 whppain


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -1950.1975
Iteration 1:   log likelihood = -1950.1975

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -1950.1975

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   educ2 <-       |
    avgcumdosew1 |    .0495695    .0245352      2.02    0.043      .0014814     .0976575
           _cons |    .0549939    .0157769      3.49    0.000      .0240717     .0859161
  ---------------+----------------------------------------------------------------
   whppain <-     |
           educ2 |    19.96704    4.415423      4.52    0.000      11.31297     28.62111
           _cons |    16.58142    1.181696     14.03    0.000      14.26534      18.8975
-----------------+----------------------------------------------------------------
 Variance         |
         e.educ2 |    .0657558    .0048809                    .0568528     .0760529
       e.whppain |    470.5883    34.93034                    406.8732     544.2811
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =     11.55, Prob > chi2 = 0.0007

.
. // we do not count constant as a main effect
. matrix define H1p1FPnDosew1 = J(1,12,0)

. matrix define H1p1FPnDosew1 = (hyp, pt, wv, dsigfw1, dsigtw1, numMainEffsigFw1, numMainEffsigTw1, numModsigFw1, numModsigTw1,numbfsigfw1,numbfsigtw1, 2)

. matrix  colnames H1p1FPnDosew1 = hypnum ptnum wv dsigfw1 dsigtw1 numMainEffsigFw1 numMainEffsigTw1 numModFw1 numModTw1 numbfsigfw1 numbfsigtw1 numMedw1

. matrix  rownames H1p1FPnDosew1 = wave1

. matlist H1p1FPnDosew1

   | hypnum    ptnum    wv    dsigfw1    dsigtw1    numMain~1    numMain~1    numModFw1    numModTw1    numbfsi~1    numbfsi~1
-------------+-------------------------------------------------------------------------------------------------------------------------
wave1   |         1            1            1            0            3            5            5            0            1            1            2

   | numMedw1
-------------+-----------
wave1   |         2

.
. scalar FemPainW1Meds = "educ and age"

. *  Wave 2 begins here------------------------------------------------------------------------------------------------------------------------------
. scalar wv = 2

.
. matrix define H1p1FPnDosew2 = J(1,12,0)

. matrix  colnames H1p1FPnDosew2 = hypnum ptnum wv dsigfw2 dsigtw2 numMainEffsigFw2 numMainEffsigTw2 numModFw2 numModTw2 numbfsigfw2 numbfsigtw2 numMedw2

. matrix  rownames H1p1FPnDosew2 = wave2

. matlist H1p1FPnDosew2

   | hypnum    ptnum    wv    dsigfw2    dsigtw2    numMain~2    numMain~2    numModFw2    numModTw2    numbfsi~2    numbfsi~2
-------------+-------------------------------------------------------------------------------------------------------------------------
wave2   |         0            0            0            0            0            0            0            0            0            0            0

   | numMedw2
-------------+-----------
wave2   |         0

.
.
. //  wave 2 possible socio-demog covariates full Female model
. regress WHPpain age educ2-educ7 marrw21-marrw23 marrw25 childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 if gender==2

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 29,   333) =    4.87
       Model |   53730.871    29  1852.78866           Prob > F      =  0.0000
    Residual |  126715.993   333  380.528506           R-squared     =  0.2978
-------------+------------------------------           Adj R-squared =  0.2366
       Total |  180446.864   362  498.471999           Root MSE      =  19.507

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .4653355    .1258015      3.70    0.000      .2178697     .7128013
       educ2 |    22.19364    20.67575      1.07    0.284      -18.4779     62.86517
       educ3 |    16.52753     20.5924      0.80    0.423     -23.98007     57.03512
       educ4 |    16.72529    20.95546      0.80    0.425     -24.49648     57.94707
       educ5 |    10.45479    20.73525      0.50    0.614      -30.3338     51.24339
       educ6 |    9.104453    20.63396      0.44    0.659     -31.48488     49.69379
       educ7 |    .4700746    24.73599      0.02    0.985     -48.18842     49.12857
     marrw21 |   -2.649277    6.563492     -0.40    0.687     -15.56041     10.26186
     marrw22 |    7.657347    9.038896      0.85    0.398     -10.12319     25.43788
     marrw23 |   -1.254276    5.443256     -0.23    0.818     -11.96178     9.453227
     marrw25 |    .7060605    7.872103      0.09    0.929     -14.77926     16.19138
     childw2 |    2.028007    1.634775      1.24    0.216     -1.187782     5.243796
     emplw22 |   -1.018348     8.67969     -0.12    0.907     -18.09228     16.05559
     emplw23 |     1.51055    9.232483      0.16    0.870     -16.65079     19.67189
     emplw24 |    .8382884    21.52942      0.04    0.969     -41.51252     43.18909
     emplw25 |    9.668135    10.19705      0.95    0.344     -10.39061     29.72688
     emplw26 |   -1.035949    9.415969     -0.11    0.912     -19.55823     17.48633
      occ1w2 |    22.01692    10.26164      2.15    0.033      1.831104     42.20274
      occ2w2 |    23.36023    10.53015      2.22    0.027       2.64623     44.07422
      occ3w2 |    34.73625    10.53764      3.30    0.001      14.00752     55.46498
      occ4w2 |    28.31046    11.27444      2.51    0.013      6.132356     50.48856
      occ5w2 |    23.35241    12.18835      1.92    0.056     -.6234592     47.32827
      occ6w2 |    17.74269     12.1992      1.45    0.147     -6.254515     41.73989
      occ7w2 |    16.91919    11.33408      1.49    0.136     -5.376241     39.21462
      occ8w2 |    19.46623    11.31773      1.72    0.086     -2.797039     41.72949
      inc1w2 |   -12.72261    10.43166     -1.22    0.223     -33.24287     7.797646
      inc2w2 |   -17.52541    10.23151     -1.71    0.088     -37.65196     2.601129
      inc3w2 |   -20.00232    10.31447     -1.94    0.053     -40.29205     .2874141
      inc4w2 |   -25.87366    12.25014     -2.11    0.035     -49.97108    -1.776248
       _cons |   -25.05568    24.10614     -1.04    0.299      -72.4752     22.36383
-------------+----------------------------------------------------------------

.
. local bfw2 bfffpain2 bfffpain4 bfffpain8 bfffpain9 bfffpain11 ///
>   bfffpain14 bfffpain15 bfffpain17 bfffpain19 bfffpain21 bfffpain22 bfffpain25 ///
>    bfffpain28

.
. des `bfw2'

              storage  display     value
variable name   type   format      label      variable label
-------------


bfffpain2         byte     %9.0g                        max(0, 23 - BSIsoma)


bfffpain4         float    %9.0g                        max(0, occ3w2 + 2.13147e-009)


bfffpain8         byte     %9.0g                        max(0, BSIsoma - 13)


bfffpain9         byte     %9.0g                        max(0, 13-BSIsoma)


bfffpain11        int      %9.0g                        max(0, 80- radw2)*bfffpain8 female pain series


bfffpain14        float    %9.0g                         max(0, havmil - 112.275) * bfffpain11


bfffpain15        float    %9.0g                         max(0, 112.275 - havmil) * bfffpain11


bfffpain17        float    %9.0g                        max(0, defnw2 - 90)* bfffpain4


bfffpain19        float    %9.0g                         (CSprbslv != . ) * bfffpain15


bfffpain21        float    %9.0g                        max(0, CSprbslv - 29) * bfffpain19


bfffpain22        float    %9.0g                        max(0, 29-CSprbslv)*bfffpain19


bfffpain25        float    %9.0g                        max(0, suchrw2 - 2.24572e-006) * bfffpain23


bfffpain28        float    %9.0g                        max(0, age - 28)*bfffpain22


.
. regress WHPpain age educ2-educ7 marrw21-marrw23 marrw25 childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 radhlw2 radchw2 ///
>   radtlw2 havmil avgcumdosew2 if gender==2

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 34,   328) =    4.45
       Model |  56925.3141    34  1674.27395           Prob > F      =  0.0000
    Residual |  123521.549   328   376.59009           R-squared     =  0.3155
-------------+------------------------------           Adj R-squared =  0.2445
       Total |  180446.864   362  498.471999           Root MSE      =  19.406

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .4072238    .1274411      3.20    0.002      .1565188     .6579289
       educ2 |    19.75361    20.65185      0.96    0.340     -20.87317      60.3804
       educ3 |    15.22795    20.52023      0.74    0.459     -25.13992     55.59582
       educ4 |    15.85307    20.88148      0.76    0.448     -25.22544     56.93159
       educ5 |     8.31414    20.66347      0.40    0.688     -32.33551     48.96379
       educ6 |    8.237747    20.56095      0.40    0.689     -32.21022     48.68571
       educ7 |   -9.692616    24.96229     -0.39    0.698       -58.799     39.41377
     marrw21 |   -3.311799     6.55865     -0.50    0.614     -16.21413     9.590527
     marrw22 |     4.57084    9.108361      0.50    0.616     -13.34734     22.48902
     marrw23 |   -1.297564    5.426841     -0.24    0.811     -11.97337     9.378242
     marrw25 |   -.9470013    7.857145     -0.12    0.904     -16.40376     14.50975
     childw2 |    2.096793    1.629364      1.29    0.199     -1.108529     5.302115
     emplw22 |   -.8878241    8.661248     -0.10    0.918     -17.92643     16.15078
     emplw23 |   -.0273601    9.242454     -0.00    0.998     -18.20933     18.15461
     emplw24 |    7.216659    21.59743      0.33    0.738      -35.2703     49.70362
     emplw25 |    9.273765    10.15816      0.91    0.362     -10.70961     29.25714
     emplw26 |    -.300219    9.383997     -0.03    0.974     -18.76063     18.16019
      occ1w2 |     21.1161    10.26944      2.06    0.041      .9138309     41.31837
      occ2w2 |    22.34936    10.53805      2.12    0.035      1.618662     43.08005
      occ3w2 |    34.02967    10.55479      3.22    0.001      13.26603      54.7933
      occ4w2 |     26.3198    11.33244      2.32    0.021      4.026354     48.61324
      occ5w2 |    24.21878    12.27096      1.97    0.049      .0790609      48.3585
      occ6w2 |    17.30573    12.16232      1.42    0.156      -6.62026     41.23172
      occ7w2 |    15.62959    11.32046      1.38    0.168     -6.640289     37.89946
      occ8w2 |    18.91034    11.37599      1.66    0.097     -3.468771     41.28944
      inc1w2 |   -10.64045    10.44232     -1.02    0.309     -31.18282     9.901914
      inc2w2 |   -15.72855    10.25973     -1.53    0.126     -35.91173     4.454622
      inc3w2 |   -18.02464    10.32964     -1.74    0.082     -38.34534     2.296063
      inc4w2 |   -24.51497     12.2796     -2.00    0.047     -48.67169    -.3582518
     radhlw2 |    .0868739    .0380272      2.28    0.023       .012066     .1616819
     radchw2 |   -.0582328    .0418642     -1.39    0.165     -.1405891     .0241235
     radtlw2 |    .0016077    .0432485      0.04    0.970     -.0834718     .0866872
      havmil |   -.0005926    .0046162     -0.13    0.898     -.0096737     .0084886
avgcumdosew2 |    1.140671    .8052911      1.42    0.158     -.4435163     2.724858
       _cons |   -24.08382    24.19261     -1.00    0.320     -71.67608     23.50844
-------------+----------------------------------------------------------------

.
.  local bfw2 bfffpain2 bfffpain4 bfffpain8 bfffpain9 bfffpain11 ///
>    bfffpain14 bfffpain15 bfffpain17 bfffpain19 bfffpain21 bfffpain22 bfffpain25 ///
>     bfffpain28

.
. set more off

. regress WHPpain age educ2-educ7 marrw21-marrw23 marrw25 childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 radhlw2 radchw2 ///
>   radtlw2 havmil `bfw2' avgcumdosew2  bfpn2Xd2-bfpn28Xd2 ///
>   bfffpain2 bfffpain11 bfffpain15 bfffpain21 if gender==2
note: bfffpain4 omitted because of collinearity
note: bfffpain11 omitted because of collinearity
note: bfffpain2 omitted because of collinearity
note: bfffpain15 omitted because of collinearity
note: bfffpain21 omitted because of collinearity

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 54,   308) =   10.16
       Model |  115574.463    54  2140.26784           Prob > F      =  0.0000
    Residual |  64872.4003   308  210.624676           R-squared     =  0.6405
-------------+------------------------------           Adj R-squared =  0.5775
       Total |  180446.864   362  498.471999           Root MSE      =  14.513

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .1154821    .1034361      1.12    0.265     -.0880487     .3190129
       educ2 |    13.28915    15.80517      0.84    0.401     -17.81062     44.38891
       educ3 |    9.151751    15.70468      0.58    0.560     -21.75029     40.05379
       educ4 |    10.99618    16.12405      0.68    0.496     -20.73104      42.7234
       educ5 |    8.431832    15.83787      0.53    0.595     -22.73227     39.59594
       educ6 |     7.69973    15.75126      0.49    0.625     -23.29396     38.69342
       educ7 |    1.999607     21.0843      0.09    0.925     -39.48788      43.4871
     marrw21 |    5.143053    5.350017      0.96    0.337     -5.384154     15.67026
     marrw22 |    10.75952    7.316123      1.47    0.142     -3.636387     25.15543
     marrw23 |    3.346352     4.55152      0.74    0.463     -5.609656     12.30236
     marrw25 |    2.205392    6.202753      0.36    0.722     -9.999741     14.41052
     childw2 |    2.369898    1.256144      1.89    0.060     -.1018122     4.841608
     emplw22 |   -1.980152    6.565122     -0.30    0.763     -14.89832     10.93801
     emplw23 |   -3.306183    7.005526     -0.47    0.637     -17.09093     10.47856
     emplw24 |   -6.211803    16.22806     -0.38    0.702     -38.14369     25.72008
     emplw25 |    4.645329     8.04135      0.58    0.564      -11.1776     20.46826
     emplw26 |   -2.972128    7.089966     -0.42    0.675     -16.92303     10.97877
      occ1w2 |    9.651532    7.834401      1.23    0.219     -5.764187     25.06725
      occ2w2 |    11.66846    8.002758      1.46    0.146     -4.078539     27.41545
      occ3w2 |    11.60636    8.224044      1.41    0.159     -4.576055     27.78878
      occ4w2 |    12.44545    8.754492      1.42    0.156     -4.780734     29.67162
      occ5w2 |    10.01407    9.361267      1.07    0.286      -8.40606      28.4342
      occ6w2 |    10.34189    9.270921      1.12    0.265     -7.900459     28.58425
      occ7w2 |    5.076132     8.76648      0.58    0.563     -12.17364      22.3259
      occ8w2 |    7.924044    8.661986      0.91    0.361     -9.120111      24.9682
      inc1w2 |   -2.604353    7.957518     -0.33    0.744     -18.26233     13.05362
      inc2w2 |   -2.606828     7.87915     -0.33    0.741      -18.1106     12.89694
      inc3w2 |   -4.498525    7.979853     -0.56    0.573     -20.20045      11.2034
      inc4w2 |   -5.790021    9.418941     -0.61    0.539     -24.32363     12.74359
     radhlw2 |   -.0065327    .0300463     -0.22    0.828     -.0656548     .0525893
     radchw2 |   -.0187895    .0328008     -0.57    0.567     -.0833316     .0457526
     radtlw2 |    .0309927    .0335392      0.92    0.356     -.0350022     .0969876
      havmil |   -.0011947    .0035708     -0.33    0.738      -.008221     .0058316
   bfffpain2 |   -1.415432    1.016297     -1.39    0.165     -3.415196     .5843323
   bfffpain4 |           0   (omitted)
   bfffpain8 |    .2429627    .7901223      0.31    0.759     -1.311758     1.797683
   bfffpain9 |    .5709832    1.181039      0.48    0.629     -1.752943      2.89491
  bfffpain11 |           0   (omitted)
  bfffpain14 |   -.0008414    .0003427     -2.46    0.015     -.0015158    -.0001671
  bfffpain15 |   -.0017779    .0007611     -2.34    0.020     -.0032754    -.0002803
  bfffpain17 |    2.477668    .5437698      4.56    0.000      1.407695     3.547642
  bfffpain19 |    .0009158    .0007189      1.27    0.204     -.0004988     .0023303
  bfffpain21 |   -.0004104    .0002145     -1.91    0.057     -.0008325     .0000118
  bfffpain22 |   -.0000844    .0001473     -0.57    0.567     -.0003743     .0002055
  bfffpain25 |    .0000282    6.61e-06      4.27    0.000      .0000152     .0000412
  bfffpain28 |    2.51e-06    4.33e-06      0.58    0.563     -6.01e-06      .000011
avgcumdosew2 |     3.56346    1.629729      2.19    0.030      .3566493     6.770271
    bfpn2Xd2 |   -.3505898    .1909562     -1.84    0.067     -.7263335     .0251539
   bfpn11Xd2 |   -.0334925    .0139726     -2.40    0.017     -.0609863    -.0059986
   bfpn14Xd2 |    .0004129    .0004933      0.84    0.403     -.0005578     .0013836
   bfpn15Xd2 |    .0003043    .0002529      1.20    0.230     -.0001932     .0008019
   bfpn17Xd2 |   -.0380409    .1613166     -0.24    0.814     -.3554628     .2793811
   bfpn21Xd2 |    .0000736    .0001975      0.37    0.710      -.000315     .0004622
   bfpn22Xd2 |   -.0000201    .0001839     -0.11    0.913     -.0003819     .0003417
   bfpn28Xd2 |    5.89e-07    5.58e-06      0.11    0.916     -.0000104     .0000116
   bfffpain2 |           0   (omitted)
  bfffpain11 |    .0918452    .0188769      4.87    0.000      .0547012     .1289891
  bfffpain15 |           0   (omitted)
  bfffpain21 |           0   (omitted)
       _cons |     .206243     21.1106      0.01    0.992       -41.333     41.74548
-------------+----------------------------------------------------------------

.
. scalar fw2 = e(r2_a)

. scalar dsigfw2 = 0

. scalar numMainEffsigFw2 = 8

. scalar numbfsigfw2 = 7

. scalar numModsigFw2 = 2

.
. // wave 2 trimmed model of possible socio-demog covariates Female model
. set more off

. regress WHPpain age childw2 ///
>    avgcumdosew2 if gender==2

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F(  3,   359) =   23.75
       Model |  29884.2454     3  9961.41513           Prob > F      =  0.0000
    Residual |  150562.618   359   419.39448           R-squared     =  0.1656
-------------+------------------------------           Adj R-squared =  0.1586
       Total |  180446.864   362  498.471999           Root MSE      =  20.479

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .6136289    .1071441      5.73    0.000      .4029199     .8243379
     childw2 |    2.389839    1.431159      1.67    0.096     -.4246705     5.204348
avgcumdosew2 |    1.431661    .7920692      1.81    0.072     -.1260173      2.98934
       _cons |   -17.07283    4.773327     -3.58    0.000     -26.46002     -7.68563
-------------+----------------------------------------------------------------

. // note that avgcumdosew2 is not significant main effect in this model so we
. //  need not worry about moderators  in wave 2 female analysis  if we base
. //  moderators on significant main effects
.
. local bfw2 bfffpain2 bfffpain4 bfffpain8 bfffpain9 bfffpain11 ///
>    bfffpain14 bfffpain15 bfffpain17 bfffpain19 bfffpain21 bfffpain22 bfffpain25 ///
>     bfffpain28

.
.
. des WHPpain age educ2-educ7 marrw21-marrw23 marrw25 childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 radhlw2 radchw2 ///
>   radtlw2 havmil avgcumdosew2 `bfw2'

              storage  display     value
variable name   type   format      label      variable label
-------------


WHPpain           double   %9.0g                        Wtd Health Profile Pain Pt 1 subscale


age               byte     %8.0g                    *   Respondent's age


educ2             byte     %8.0g                        educ==2. graduated high school


educ3             byte     %8.0g                        educ==3. technical degree


educ4             byte     %8.0g                        educ==4. did not finish college/bachelor's


educ5             byte     %8.0g                        educ==5. graduated college/bachelor's


educ6             byte     %8.0g                        educ==6. finished specialist/master's degree


educ7             byte     %8.0g                        educ==7. doctor of science/phd


marrw21           byte     %8.0g                        marrw2==1. single


marrw22           byte     %8.0g                        marrw2==2. cohabitating


marrw23           byte     %8.0g                        marrw2==3. married


marrw25           byte     %8.0g                        marrw2==5. divorced


childw2           byte     %8.0g                        number of children in 1996


emplw22           byte     %8.0g                        emplw2==1. full time


emplw23           byte     %8.0g                        emplw2==2. part time


emplw24           byte     %8.0g                        emplw2==3. voluntary


emplw25           byte     %8.0g                        emplw2==4. retired


emplw26           byte     %8.0g                        emplw2==5. unemployed


occ1w2            byte     %15.0g        LABJ           profess executive administration in 1996


occ2w2            byte     %15.0g        LABJ           technical sales admin support in 1996


occ3w2            byte     %15.0g        LABJ           service occup protective services in 1996


occ4w2            byte     %15.0g        LABJ           precision prod mechan craft construction in 1996


occ5w2            byte     %15.0g        LABJ           factory laborer machinist transp cleaner in 1996


occ6w2            byte     %15.0g        LABJ           farming agricul forestry fishing trapping logging in 1996


occ7w2            byte     %15.0g        LABJ           homemaking caregiving in 1996


occ8w2            byte     %15.0g        LABJ           student in 1996


inc1w2            byte     %15.0g        LABJ           Income is not sufficient for basic neccessities in 1996


inc2w2            byte     %15.0g        LABJ           Income is just sufficient for basic neccessities in 1996


inc3w2            byte     %15.0g        LABJ           Income is sufficient for basics plus extra purchases/savings in 1996


inc4w2            byte     %15.0g        LABJ           Income allows to comfortably afford luxury items in 1996


radhlw2           byte     %8.0g                        how much believed personal health is affected by radiation in 1996


radchw2           byte     %8.0g                        believed % of polution related to chornobyl in 1996


radtlw2           byte     %8.0g                        believed % of cumulative radiation exposed to in a lifetime in 1996


havmil            double   %9.0g                        Distance from Chornobyl in miles


avgcumdosew2      double   %8.0g                        Average mean dose CS1337 in mGy for wave 2


bfffpain2         byte     %9.0g                        max(0, 23 - BSIsoma)


bfffpain4         float    %9.0g                        max(0, occ3w2 + 2.13147e-009)


bfffpain8         byte     %9.0g                        max(0, BSIsoma - 13)


bfffpain9         byte     %9.0g                        max(0, 13-BSIsoma)


bfffpain11        int      %9.0g                        max(0, 80- radw2)*bfffpain8 female pain series


bfffpain14        float    %9.0g                         max(0, havmil - 112.275) * bfffpain11


bfffpain15        float    %9.0g                         max(0, 112.275 - havmil) * bfffpain11


bfffpain17        float    %9.0g                        max(0, defnw2 - 90)* bfffpain4


bfffpain19        float    %9.0g                         (CSprbslv != . ) * bfffpain15


bfffpain21        float    %9.0g                        max(0, CSprbslv - 29) * bfffpain19


bfffpain22        float    %9.0g                        max(0, 29-CSprbslv)*bfffpain19


bfffpain25        float    %9.0g                        max(0, suchrw2 - 2.24572e-006) * bfffpain23


bfffpain28        float    %9.0g                        max(0, age - 28)*bfffpain22


.
. local bfw2b bfffpain2 bfffpain8 bfffpain9 bfffpain11 ///
>    bfffpain14 bfffpain15 bfffpain17 bfffpain19 bfffpain21 bfffpain22 bfffpain25 ///
>     bfffpain28

.
. set more off

. sw, pr(.05): regress WHPpain age educ2-educ7 marrw21-marrw23 marrw25 childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 radhlw2 radchw2 ///
>   radtlw2 havmil `bfw2b' avgcumdosew2  if gender==2


  begin with full model


p = 0.9322 >= 0.0500  removing bfffpain8


p = 0.9011 >= 0.0500  removing educ7


p = 0.8266 >= 0.0500  removing avgcumdosew2


p = 0.8058 >= 0.0500  removing havmil


p = 0.7994 >= 0.0500  removing radhlw2


p = 0.8049 >= 0.0500  removing marrw25


p = 0.7807 >= 0.0500  removing emplw22


p = 0.7576 >= 0.0500  removing emplw24


p = 0.6785 >= 0.0500  removing inc1w2


p = 0.8152 >= 0.0500  removing inc2w2


p = 0.6250 >= 0.0500  removing emplw26


p = 0.6253 >= 0.0500  removing emplw23


p = 0.6328 >= 0.0500  removing marrw23


p = 0.6232 >= 0.0500  removing inc4w2


p = 0.5667 >= 0.0500  removing marrw21


p = 0.5590 >= 0.0500  removing age


p = 0.5306 >= 0.0500  removing radchw2


p = 0.4863 >= 0.0500  removing educ6


p = 0.7893 >= 0.0500  removing educ5


p = 0.4035 >= 0.0500  removing educ4


p = 0.4460 >= 0.0500  removing educ3


p = 0.3171 >= 0.0500  removing occ7w2


p = 0.3238 >= 0.0500  removing radtlw2


p = 0.2975 >= 0.0500  removing inc3w2


p = 0.2508 >= 0.0500  removing occ8w2


p = 0.2596 >= 0.0500  removing occ5w2


p = 0.1397 >= 0.0500  removing occ6w2


p = 0.1313 >= 0.0500  removing marrw22


p = 0.1129 >= 0.0500  removing bfffpain19


p = 0.0810 >= 0.0500  removing emplw25


p = 0.1544 >= 0.0500  removing occ1w2


p = 0.1989 >= 0.0500  removing occ3w2


p = 0.2211 >= 0.0500  removing occ4w2


p = 0.2239 >= 0.0500  removing occ2w2


p = 0.1093 >= 0.0500  removing bfffpain9


p = 0.0570 >= 0.0500  removing educ2


      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 10,   352) =   51.09
       Model |  106840.179    10  10684.0179           Prob > F      =  0.0000
    Residual |  73606.6845   352  209.109899           R-squared     =  0.5921
-------------+------------------------------           Adj R-squared =  0.5805
       Total |  180446.864   362  498.471999           Root MSE      =  14.461

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
  bfffpain21 |   -.0003203    .0000909     -3.52    0.000     -.0004991    -.0001416
     childw2 |    2.427672    .9107293      2.67    0.008      .6365168     4.218827
  bfffpain14 |   -.0005502     .000105     -5.24    0.000     -.0007567    -.0003437
  bfffpain11 |      .06743    .0097062      6.95    0.000      .0483405     .0865195
  bfffpain15 |   -.0006398    .0001302     -4.91    0.000     -.0008958    -.0003837
  bfffpain22 |   -.0001255    .0000429     -2.93    0.004     -.0002099    -.0000412
  bfffpain28 |    4.13e-06    1.29e-06      3.19    0.002      1.59e-06     6.68e-06
  bfffpain25 |    .0000307    5.76e-06      5.33    0.000      .0000194      .000042
  bfffpain17 |    2.660815    .3753315      7.09    0.000      1.922641     3.398989
   bfffpain2 |   -1.730386     .211836     -8.17    0.000     -2.147009    -1.313762
       _cons |    26.92723    2.920023      9.22    0.000      21.18435     32.67012
-------------+----------------------------------------------------------------

. scalar numbfsigfw2=9

.
. scalar dsigtw2 = 0

. scalar numMainEffsigTw2 = 5

.
. scalar tw2bf = e(r2_a)

.
. local bfw2b bfffpain2 bfffpain8 bfffpain9 bfffpain11 ///
>    bfffpain14 bfffpain15 bfffpain17 bfffpain19 bfffpain21 bfffpain22 bfffpain25 ///
>     bfffpain28

.
. set more off

. sw, pr(.05): regress WHPpain age educ2-educ7 marrw21-marrw23 marrw25 childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 radhlw2 radchw2 ///
>   radtlw2 havmil avgcumdosew2 `bfw2b' if gender==2


  begin with full model


p = 0.9322 >= 0.0500  removing bfffpain8


p = 0.9011 >= 0.0500  removing educ7


p = 0.8266 >= 0.0500  removing avgcumdosew2


p = 0.8058 >= 0.0500  removing havmil


p = 0.7994 >= 0.0500  removing radhlw2


p = 0.8049 >= 0.0500  removing marrw25


p = 0.7807 >= 0.0500  removing emplw22


p = 0.7576 >= 0.0500  removing emplw24


p = 0.6785 >= 0.0500  removing inc1w2


p = 0.8152 >= 0.0500  removing inc2w2


p = 0.6250 >= 0.0500  removing emplw26


p = 0.6253 >= 0.0500  removing emplw23


p = 0.6328 >= 0.0500  removing marrw23


p = 0.6232 >= 0.0500  removing inc4w2


p = 0.5667 >= 0.0500  removing marrw21


p = 0.5590 >= 0.0500  removing age


p = 0.5306 >= 0.0500  removing radchw2


p = 0.4863 >= 0.0500  removing educ6


p = 0.7893 >= 0.0500  removing educ5


p = 0.4035 >= 0.0500  removing educ4


p = 0.4460 >= 0.0500  removing educ3


p = 0.3171 >= 0.0500  removing occ7w2


p = 0.3238 >= 0.0500  removing radtlw2


p = 0.2975 >= 0.0500  removing inc3w2


p = 0.2508 >= 0.0500  removing occ8w2


p = 0.2596 >= 0.0500  removing occ5w2


p = 0.1397 >= 0.0500  removing occ6w2


p = 0.1313 >= 0.0500  removing marrw22


p = 0.1129 >= 0.0500  removing bfffpain19


p = 0.0810 >= 0.0500  removing emplw25


p = 0.1544 >= 0.0500  removing occ1w2


p = 0.1989 >= 0.0500  removing occ3w2


p = 0.2211 >= 0.0500  removing occ4w2


p = 0.2239 >= 0.0500  removing occ2w2


p = 0.1093 >= 0.0500  removing bfffpain9


p = 0.0570 >= 0.0500  removing educ2


      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 10,   352) =   51.09
       Model |  106840.179    10  10684.0179           Prob > F      =  0.0000
    Residual |  73606.6845   352  209.109899           R-squared     =  0.5921
-------------+------------------------------           Adj R-squared =  0.5805
       Total |  180446.864   362  498.471999           Root MSE      =  14.461

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
  bfffpain28 |    4.13e-06    1.29e-06      3.19    0.002      1.59e-06     6.68e-06
  bfffpain17 |    2.660815    .3753315      7.09    0.000      1.922641     3.398989
  bfffpain11 |      .06743    .0097062      6.95    0.000      .0483405     .0865195
     childw2 |    2.427672    .9107293      2.67    0.008      .6365168     4.218827
  bfffpain14 |   -.0005502     .000105     -5.24    0.000     -.0007567    -.0003437
  bfffpain21 |   -.0003203    .0000909     -3.52    0.000     -.0004991    -.0001416
  bfffpain25 |    .0000307    5.76e-06      5.33    0.000      .0000194      .000042
   bfffpain2 |   -1.730386     .211836     -8.17    0.000     -2.147009    -1.313762
  bfffpain15 |   -.0006398    .0001302     -4.91    0.000     -.0008958    -.0003837
  bfffpain22 |   -.0001255    .0000429     -2.93    0.004     -.0002099    -.0000412
       _cons |    26.92723    2.920023      9.22    0.000      21.18435     32.67012
-------------+----------------------------------------------------------------

.
.
.
. * Moderator  Wave 2 female analysis
.
. foreach num in 2 11 14 15 17 21 22 28 {
  2. cap gen childw2*d2 = childw2*
  3. cap gen bfpn`num'Xd2 = bfffpain`num'*avgcumdosew2
  4.  }

.
. local bfw2b bfffpain2 bfffpain8 bfffpain9 bfffpain11 ///
>    bfffpain14 bfffpain15 bfffpain17 bfffpain19 bfffpain21 bfffpain22 bfffpain25 ///
>     bfffpain28

.
. // manually simultaneously trimmed to .10:
. set more off

. regress WHPpain age  childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 radhlw2 radchw2 ///
>   radtlw2 havmil bfffpain11 bfffpain14 bfffpain15 ///
>   bfffpain17 bfffpain21 bfffpain25 ///
>   bfpn11Xd2 avgcumdosew2 `bfw2b' if gender==2
note: bfffpain11 omitted because of collinearity
note: bfffpain14 omitted because of collinearity
note: bfffpain15 omitted because of collinearity
note: bfffpain17 omitted because of collinearity
note: bfffpain21 omitted because of collinearity
note: bfffpain25 omitted because of collinearity

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 37,   325) =   14.42
       Model |  112124.971    37  3030.40461           Prob > F      =  0.0000
    Residual |   68321.893   325  210.221209           R-squared     =  0.6214
-------------+------------------------------           Adj R-squared =  0.5783
       Total |  180446.864   362  498.471999           Root MSE      =  14.499

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .0631898    .0992065      0.64    0.525     -.1319782     .2583579
     childw2 |    2.011245    1.090819      1.84    0.066     -.1347121     4.157203
     emplw22 |   -1.121083    6.523958     -0.17    0.864      -13.9556     11.71343
     emplw23 |   -2.778845    6.947038     -0.40    0.689     -16.44568     10.88799
     emplw24 |   -6.296938    16.18442     -0.39    0.697     -38.13638     25.54251
     emplw25 |    4.369652     7.68621      0.57    0.570     -10.75135     19.49066
     emplw26 |   -2.739847    7.000243     -0.39    0.696     -16.51136     11.03166
      occ1w2 |      10.737    7.694877      1.40    0.164     -4.401052     25.87506
      occ2w2 |    12.93363    7.897133      1.64    0.102     -2.602318     28.46959
      occ3w2 |    14.03331    8.075455      1.74    0.083     -1.853453     29.92007
      occ4w2 |    14.97647    8.548839      1.75    0.081     -1.841577     31.79452
      occ5w2 |    12.92752    9.086482      1.42    0.156     -4.948222     30.80327
      occ6w2 |    14.07056    9.049068      1.55    0.121      -3.73158      31.8727
      occ7w2 |     8.03971    8.493072      0.95    0.345     -8.668626     24.74805
      occ8w2 |    9.912137    8.292882      1.20    0.233     -6.402368     26.22664
      inc1w2 |   -4.261532    7.845934     -0.54    0.587     -19.69676      11.1737
      inc2w2 |   -4.267511    7.754245     -0.55    0.582     -19.52236     10.98734
      inc3w2 |   -6.588038    7.841661     -0.84    0.401     -22.01486     8.838783
      inc4w2 |   -8.104069    9.258728     -0.88    0.382     -26.31867     10.11053
     radhlw2 |   -.0077278    .0292557     -0.26    0.792     -.0652823     .0498267
     radchw2 |   -.0236812    .0316668     -0.75    0.455      -.085979     .0386167
     radtlw2 |    .0353813    .0326896      1.08    0.280     -.0289287     .0996913
      havmil |   -.0009492    .0035112     -0.27    0.787     -.0078569     .0059584
  bfffpain11 |    .0601109    .0108073      5.56    0.000      .0388498      .081372
  bfffpain14 |   -.0005335    .0001104     -4.83    0.000     -.0007506    -.0003163
  bfffpain15 |   -.0015649    .0007169     -2.18    0.030     -.0029752    -.0001546
  bfffpain17 |    2.367236    .4671639      5.07    0.000       1.44819     3.286283
  bfffpain21 |   -.0002994    .0000945     -3.17    0.002     -.0004852    -.0001136
  bfffpain25 |    .0000301    6.11e-06      4.92    0.000       .000018     .0000421
   bfpn11Xd2 |   -.0014378    .0026072     -0.55    0.582     -.0065668     .0036913
avgcumdosew2 |    .4558423    .7091566      0.64    0.521     -.9392743     1.850959
   bfffpain2 |    -2.14869     .954965     -2.25    0.025     -4.027383    -.2699967
   bfffpain8 |     .048252    .7678586      0.06    0.950     -1.462349     1.558853
   bfffpain9 |     1.18583    1.145517      1.04    0.301     -1.067734     3.439393
  bfffpain11 |           0   (omitted)
  bfffpain14 |           0   (omitted)
  bfffpain15 |           0   (omitted)
  bfffpain17 |           0   (omitted)
  bfffpain19 |    .0009829    .0007086      1.39    0.166     -.0004111     .0023768
  bfffpain21 |           0   (omitted)
  bfffpain22 |   -.0001036    .0000492     -2.10    0.036     -.0002004    -6.77e-06
  bfffpain25 |           0   (omitted)
  bfffpain28 |    3.47e-06    1.53e-06      2.27    0.024      4.66e-07     6.48e-06
       _cons |    21.52529    12.19705      1.76    0.079     -2.469851     45.52043
-------------+----------------------------------------------------------------

.
. local bfw2b bfffpain2 bfffpain8 bfffpain9 bfffpain11 ///
>    bfffpain14 bfffpain15 bfffpain17 bfffpain19 bfffpain21 bfffpain22 bfffpain25 ///
>     bfffpain28

.
. set more off

. sw, pr(.1):regress WHPpain age educ2-educ7 marrw21-marrw23 marrw25 childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 radhlw2 radchw2 ///
>   radtlw2 havmil avgcumdosew2 `bfw2b' bfpn2Xd2-bfpn28Xd2 if gender==2


  begin with full model


p = 0.9245 >= 0.1000  removing educ7


p = 0.9217 >= 0.1000  removing bfpn28Xd2


p = 0.9590 >= 0.1000  removing bfpn22Xd2


p = 0.8312 >= 0.1000  removing radhlw2


p = 0.7608 >= 0.1000  removing emplw22


p = 0.7857 >= 0.1000  removing emplw24


p = 0.7880 >= 0.1000  removing emplw26


p = 0.7685 >= 0.1000  removing inc1w2


p = 0.9257 >= 0.1000  removing inc2w2


p = 0.7604 >= 0.1000  removing bfpn17Xd2


p = 0.7546 >= 0.1000  removing havmil


p = 0.7437 >= 0.1000  removing bfffpain8


p = 0.7403 >= 0.1000  removing marrw25


p = 0.6147 >= 0.1000  removing emplw23


p = 0.5944 >= 0.1000  removing occ7w2


p = 0.5424 >= 0.1000  removing inc4w2


p = 0.5502 >= 0.1000  removing marrw23


p = 0.5259 >= 0.1000  removing marrw21


p = 0.5093 >= 0.1000  removing educ6


p = 0.7514 >= 0.1000  removing educ5


p = 0.6086 >= 0.1000  removing bfpn21Xd2


p = 0.4619 >= 0.1000  removing radchw2


p = 0.4863 >= 0.1000  removing radtlw2


p = 0.3949 >= 0.1000  removing educ3


p = 0.3798 >= 0.1000  removing educ4


p = 0.3797 >= 0.1000  removing bfpn14Xd2


p = 0.4098 >= 0.1000  removing age


p = 0.3250 >= 0.1000  removing inc3w2


p = 0.2632 >= 0.1000  removing occ8w2


p = 0.2183 >= 0.1000  removing occ5w2


p = 0.2256 >= 0.1000  removing marrw22


p = 0.1998 >= 0.1000  removing bfffpain9


p = 0.2241 >= 0.1000  removing occ6w2


p = 0.1217 >= 0.1000  removing educ2


p = 0.1268 >= 0.1000  removing occ4w2


p = 0.1960 >= 0.1000  removing occ1w2


p = 0.1991 >= 0.1000  removing occ3w2


p = 0.1797 >= 0.1000  removing emplw25


p = 0.2060 >= 0.1000  removing occ2w2


      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 15,   347) =   36.25
       Model |  110153.404    15  7343.56024           Prob > F      =  0.0000
    Residual |    70293.46   347  202.574813           R-squared     =  0.6104
-------------+------------------------------           Adj R-squared =  0.5936
       Total |  180446.864   362  498.471999           Root MSE      =  14.233

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
  bfffpain28 |    4.23e-06    1.28e-06      3.30    0.001      1.71e-06     6.74e-06
   bfpn11Xd2 |   -.0311204    .0109614     -2.84    0.005     -.0526796    -.0095613
  bfffpain22 |    -.000137    .0000424     -3.23    0.001     -.0002203    -.0000536
  bfffpain25 |    .0000296    5.68e-06      5.21    0.000      .0000184     .0000408
   bfffpain2 |   -1.344859    .2568515     -5.24    0.000     -1.850041    -.8396775
  bfffpain21 |   -.0003458    .0000902     -3.83    0.000     -.0005233    -.0001683
avgcumdosew2 |    4.085386    1.318603      3.10    0.002      1.491925     6.678846
    bfpn2Xd2 |   -.3635352    .1716104     -2.12    0.035     -.7010626    -.0260077
  bfffpain15 |    -.002224     .000701     -3.17    0.002     -.0036026    -.0008453
  bfffpain11 |    .0991247    .0147387      6.73    0.000      .0701363     .1281131
  bfffpain19 |    .0013341    .0006818      1.96    0.051     -6.85e-06     .0026751
     childw2 |    2.628177    .9056309      2.90    0.004        .84696     4.409393
   bfpn15Xd2 |    .0002623    .0001029      2.55    0.011        .00006     .0004647
  bfffpain17 |    2.519299    .3757064      6.71    0.000      1.780351     3.258247
  bfffpain14 |   -.0005866     .000106     -5.53    0.000     -.0007951     -.000378
       _cons |    22.23778    3.267797      6.81    0.000       15.8106     28.66496
-------------+----------------------------------------------------------------

.
.   // signif moderators bfffpain2(larger negative)   and bfffpain15 (tiny negative)
.
.   // bfffpain15 is a 3 way involving BSIsoma radw2 and CSprbslv
.   // graphical presentation would be done through simple main effects
.   // bfffpain2 is a bf entailing conditional recentering of BSIsoma
.   // occ3w2 = protective services (security guard)
.
.
. lowess WHPpain BSIsoma if gender==2   // gradual increase and then leveling off (slight s shape)

. lowess WHPpain radw2 if gender==2     // flat almost Jeffrey's prior with slight U shape

. lowess WHPpain CSprbslv if gender==2   // gradual decline then leveling off

. lowess WHPpain havmil if gender==2     // gradual decline then leveling off

.
.
. scalar numModsigTw2 = 3

.
. scalar tw2nobf = e(r2_a)

.
. scalar numbfsigTw2=9

. scalar w2numbf = 9

.
. scalar r2chabfw2 = tw2bf - tw2nobf

.
. matrix define FemaleWHPpainr2w2 = ( fw2 , tw2bf, tw2nobf, w2numbf, r2chabfw2)

. matrix colnames FemaleWHPpainr2w2 = FullBFR2a TR2aBF  TR2aNoBF  NumBF  BFR2cha

. matrix rownames FemaleWHPpainr2w2 = wave2

. matlist FemaleWHPpainr2w2

   | FullBFR2a    TR2aBF    TR2aNoBF    NumBF    BFR2cha
-------------+-------------------------------------------------------
wave2   |  .5774594     .5804982     .5936084            9    -.0131102

.
. // we would have to graph bfpn11xd2, bfpn15Xd2 and bfpn2Xd2 a 4 way inter-
. // action between BSIsoma havmil radw2 BSIsoma^2
. // we could decompose this into its simple effects
.
. * bfpn2Xd2 = d2 * max(0,23-BSIsoma)
. * bfpn15Xd2 = d2 * max(0,havmil-112.275)
. * bfpn22Xd2 = d2 * max0,29-CSprbslv)*bfffpain19
. * bfffpain19 = (0, CSprbslv -29)* bfffpain15
. * bfffpain15 = max(0,112.275-havmil)*bfffpain11
. * bfffpain11 = max(0, 88-radw2)*bfffpain8
. * bfffpain8 = max(0, BSIsoma - 13)
. cap gen BSIsomasq = BSIsoma^2

. summ bfffpain8 if gender==2   // cutpoints could be  6.7

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
   bfffpain8 |       363    2.614325     4.19023          0         22

. centile bfffpain8 if gender==2, centile(33 67)   // cutpoint is 2

                                                       -- Binom. Interp. --
    Variable |     Obs  Percentile      Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
   bfffpain8 |      363        33             0               0           0
             |                 67             2               2           3

.
. cap gen lowbfpain8 = avgcumdosew2 if gender==2 & bfffpain8 <=2

. cap gen hibfpain8 = avgcumdosew2 if gender==2 & bfffpain8 > 8 & bfffpain8 < .

. twoway lfit WHPpain lowbfpain8 || lfit WHPpain hibfpain8, ///
>   ti(Dose by bfffpain8 female wave 2 effect on WHPpain) ///
>   xti(Average cumulative dose of {superscript:137}CS) ///
>   yti(WHPpain subscale score)  caption(bfffpain8 is condxly rescalled BSIsoma) ///
>   note(bfffpain8 = max(0, BSIsoma -13))  ///
>   legend(label(1 low bfffpain8:le 67%) label(2 hipain bfffpain8:gt 67%))

. gr save fbfpn8Xd2.gph, replace
(file fbfpn8Xd2.gph saved)

. gr export fbfpn8Xd2.eps, replace
(file fbfpn8Xd2.eps written in EPS format)

.
. * test of regular covariates
. regress WHPpain BSIsoma BSIsomasq havmil CSprbslv radw2 if gender==2

      Source |       SS       df       MS              Number of obs =     361
-------------+------------------------------           F(  5,   355) =   49.64
       Model |  73981.0465     5  14796.2093           Prob > F      =  0.0000
    Residual |  105813.389   355  298.065885           R-squared     =  0.4115
-------------+------------------------------           Adj R-squared =  0.4032
       Total |  179794.436   360  499.428988           Root MSE      =  17.265

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
     BSIsoma |    3.290912    .7240937      4.54    0.000       1.86686     4.714965
   BSIsomasq |   -.0235906    .0213774     -1.10    0.271      -.065633     .0184517
      havmil |   -.0017875    .0040368     -0.44    0.658     -.0097265     .0061515
    CSprbslv |    -.175024    .1827096     -0.96    0.339     -.5343533     .1843053
       radw2 |   -.0191378    .0290146     -0.66    0.510     -.0761999     .0379243
       _cons |   -16.68853    6.979027     -2.39    0.017     -30.41397    -2.963096
-------------+----------------------------------------------------------------

. * testing component alternatives
. sw, pr(.1):regress WHPpain BSIsoma CSprbslv bfffpain8 radw2 bfffpain15 havmilsq avgcumdosew2


  begin with full model


p = 0.5848 >= 0.1000  removing havmilsq


p = 0.2974 >= 0.1000  removing bfffpain15


      Source |       SS       df       MS              Number of obs =     692
-------------+------------------------------           F(  5,   686) =   79.80
       Model |   103503.04     5   20700.608           Prob > F      =  0.0000
    Residual |  177944.251   686  259.393951           R-squared     =  0.3678
-------------+------------------------------           Adj R-squared =  0.3631
       Total |  281447.291   691  407.304328           Root MSE      =  16.106

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
     BSIsoma |    2.566263    .2999813      8.55    0.000      1.977271     3.155255
    CSprbslv |   -.3915494    .1255617     -3.12    0.002     -.6380808     -.145018
   bfffpain8 |   -.6982502    .4229211     -1.65    0.099     -1.528625      .132125
       radw2 |   -.0335089    .0197789     -1.69    0.091     -.0723433     .0053255
avgcumdosew2 |    1.233609    .3656445      3.37    0.001       .515692     1.951525
       _cons |   -6.965172    4.467004     -1.56    0.119     -15.73581     1.805468
-------------+----------------------------------------------------------------

.
. *------------ Mediators for wave 2 female Pain analysis
.
. scalar FemPainW2Med = "age"

. scalar numMedFw2 = 1

. // age is possible mediator at wave1 for female Pain
.
. sem (avgcumdosew2->age)(age->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  age whppain


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -3650.6934
Iteration 1:   log likelihood = -3650.6934

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3650.6934

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   age <-         |
    avgcumdosew2 |    1.502324    .4441722      3.38    0.001      .6317629     2.372886
           _cons |    48.86944    .7303023     66.92    0.000      47.43808     50.30081
  ---------------+----------------------------------------------------------------
   whppain <-     |
             age |    .7333239    .0909308      8.06    0.000      .5551028     .9115451
           _cons |    -18.8122    4.691527     -4.01    0.000     -28.00742    -9.616977
-----------------+----------------------------------------------------------------
 Variance         |
           e.age |     136.164    10.10704                    117.7281     157.4869
       e.whppain |     421.567    31.29164                    364.4891     487.5832
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      3.09, Prob > chi2 = 0.0788

. sem (avgcumdosew2-> radhlw2)(radhlw2->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  radhlw2 whppain


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -4058.1465
Iteration 1:   log likelihood = -4058.1465

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4058.1465

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radhlw2 <-     |
    avgcumdosew2 |    3.302288    1.280292      2.58    0.010      .7929628     5.811614
           _cons |    56.95167    2.105039     27.05    0.000      52.82587     61.07747
  ---------------+----------------------------------------------------------------
   whppain <-     |
         radhlw2 |    .1254455     .033843      3.71    0.000      .0591145     .1917764
           _cons |    10.49625    2.330286      4.50    0.000      5.928969     15.06352
-----------------+----------------------------------------------------------------
 Variance         |
       e.radhlw2 |    1131.299    83.97289                    978.1272     1308.457
       e.whppain |    478.9698    35.55247                    414.1198      553.975
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      6.14, Prob > chi2 = 0.0132

. sem (avgcumdosew2-> educ3)(educ3-> whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  educ3 whppain


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -2513.8181
Iteration 1:   log likelihood = -2513.8181

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2513.8181

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   educ3 <-       |
    avgcumdosew2 |    .0154942    .0181684      0.85    0.394     -.0201153     .0511037
           _cons |     .338741    .0298723     11.34    0.000      .2801923     .3972897
  ---------------+----------------------------------------------------------------
   whppain <-     |
           educ3 |    8.718987    2.406133      3.62    0.000      4.003054     13.43492
           _cons |    14.93711    1.428799     10.45    0.000      12.13671      17.7375
-----------------+----------------------------------------------------------------
 Variance         |
         e.educ3 |    .2278218    .0169105                     .196976     .2634981
       e.whppain |    479.7449    35.61001                      414.79     554.8716
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      7.82, Prob > chi2 = 0.0052

.
.
.
.
.
.
.
.
. matrix define H1p1FPnDosew2 = (hyp, pt, wv, dsigfw2, dsigtw2, numMainEffsigFw2, numMainEffsigTw2, numModsigFw2, numModsigTw2,numbfsigfw2,numbfsigtw2, numMedFw2)

. matrix  colnames H1p1FPnDosew2 = hypnum ptnum wv dsigfw2 dsigtw2 numMainEffsigFw2 numMainEffsigTw2 numModFw2 numModTw2 numbfsigfw2 numbfsigtw2 numMedw2

. matrix  rownames H1p1FPnDosew2 = wave2

. matlist H1p1FPnDosew2

   | hypnum    ptnum    wv    dsigfw2    dsigtw2    numMain~2    numMain~2    numModFw2    numModTw2    numbfsi~2    numbfsi~2
-------------+-------------------------------------------------------------------------------------------------------------------------
wave2   |         1            1            2            0            0            8            5            2            3            9            0

   | numMedw2
-------------+-----------
wave2   |         1

.
.
.
.
. matrix define  H1p1FPnDose =  (H1p1FPnDosew1 \ H1p1FPnDosew2)

. matlist  H1p1FPnDose

   | hypnum    ptnum    wv    dsigfw1    dsigtw1    numMain~1    numMain~1    numModFw1    numModTw1    numbfsi~1    numbfsi~1
-------------+-------------------------------------------------------------------------------------------------------------------------
wave1   |         1            1            1            0            3            5            5            0            1            1            2
wave2   |         1            1            2            0            0            8            5            2            3            9            0

   | numMedw1
-------------+-----------
wave1   |         2
wave2   |         1

.
.
.
.
.
.
. matrix define  FemaleWHPpainr2 = (FemaleWHPpainr2w1 \ FemaleWHPpainr2w2)

. matlist FemaleWHPpainr2

   | FullBFR2a    TR2aBF    TR2aNoBF    NumBF    BFR2cha
-------------+-------------------------------------------------------
wave1   |  .4791464     .4667625     .2066858            4     .2600767
wave2   |  .5774594     .5804982     .5936084            9    -.0131102

.
. //  wave 3 possible socio-demog covariates full Female model
. regress WHPpain age educ2-educ7 marrw21-marrw23 marrw25 childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 avgcumdosew3 if gender==2

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 30,   332) =    4.76
       Model |  54303.4641    30  1810.11547           Prob > F      =  0.0000
    Residual |  126143.399   332  379.949998           R-squared     =  0.3009
-------------+------------------------------           Adj R-squared =  0.2378
       Total |  180446.864   362  498.471999           Root MSE      =  19.492

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |     .451312    .1262238      3.58    0.000      .2030127     .6996113
       educ2 |    21.83169    20.66213      1.06    0.291      -18.8135     62.47689
       educ3 |    16.47045     20.5768      0.80    0.424     -24.00689     56.94779
       educ4 |    17.00998    20.94081      0.81    0.417     -24.18342     58.20339
       educ5 |    10.34506    20.71968      0.50    0.618     -30.41335     51.10346
       educ6 |    9.284717    20.61879      0.45    0.653     -31.27522     49.84466
       educ7 |   -2.695125    24.85129     -0.11    0.914     -51.58098     46.19073
     marrw21 |   -2.808585    6.559784     -0.43    0.669     -15.71257      10.0954
     marrw22 |    6.263256    9.103134      0.69    0.492     -11.64384     24.17035
     marrw23 |   -1.458947    5.441672     -0.27    0.789     -12.16345     9.245557
     marrw25 |    .2516819     7.87482      0.03    0.975     -15.23915     15.74252
     childw2 |    2.021102    1.633542      1.24    0.217     -1.192296     5.234499
     emplw22 |    -.865502    8.673983     -0.10    0.921      -17.9284     16.19739
     emplw23 |    1.585315    9.225663      0.17    0.864     -16.56281     19.73344
     emplw24 |    1.090386    21.51403      0.05    0.960     -41.23061     43.41138
     emplw25 |    9.677531     10.1893      0.95    0.343     -10.36619     29.72125
     emplw26 |   -.7871549    9.410992     -0.08    0.933     -19.29985     17.72554
      occ1w2 |    22.02818    10.25385      2.15    0.032       1.85748     42.19888
      occ2w2 |    23.43548    10.52232      2.23    0.027      2.736654      44.1343
      occ3w2 |    34.68356    10.52971      3.29    0.001      13.97019     55.39692
      occ4w2 |    28.65363    11.26933      2.54    0.011      6.485331     50.82193
      occ5w2 |    23.89805    12.18719      1.96    0.051     -.0757981     47.87189
      occ6w2 |    17.75189    12.18992      1.46    0.146      -6.22733     41.73112
      occ7w2 |    17.04188    11.32591      1.50    0.133     -5.237707     39.32147
      occ8w2 |    19.42365    11.30918      1.72    0.087     -2.823032     41.67034
      inc1w2 |   -12.89156    10.42463     -1.24    0.217     -33.39823     7.615104
      inc2w2 |   -18.08865    10.23402     -1.77    0.078     -38.22035     2.043046
      inc3w2 |   -20.26125    10.30878     -1.97    0.050     -40.54002     .0175242
      inc4w2 |   -26.12812    12.24258     -2.13    0.034     -50.21092    -2.045309
avgcumdosew3 |    .7617149    .6204869      1.23    0.220     -.4588666     1.982296
       _cons |   -24.90371    24.08813     -1.03    0.302     -72.28832     22.48089
-------------+----------------------------------------------------------------

.  // again we observe that avgcumdosew2 is not a significan main effect
.
.
. des WHPpain age educ2-educ7 marrw31-marrw33 marrw35 childw3 ///
>   emplw32-emplw35 occ1w3-occ8w3 inc1w3-inc4w3 radhlw3 radchw3 ///
>   radtlw3 havmil

              storage  display     value
variable name   type   format      label      variable label
-------------


WHPpain           double   %9.0g                        Wtd Health Profile Pain Pt 1 subscale


age               byte     %8.0g                    *   Respondent's age


educ2             byte     %8.0g                        educ==2. graduated high school


educ3             byte     %8.0g                        educ==3. technical degree


educ4             byte     %8.0g                        educ==4. did not finish college/bachelor's


educ5             byte     %8.0g                        educ==5. graduated college/bachelor's


educ6             byte     %8.0g                        educ==6. finished specialist/master's degree


educ7             byte     %8.0g                        educ==7. doctor of science/phd


marrw31           byte     %8.0g                        marrw3==1. single


marrw32           byte     %8.0g                        marrw3==2. cohabitating


marrw33           byte     %8.0g                        marrw3==3. married


marrw35           byte     %8.0g                        marrw3==5. divorced


childw3           byte     %8.0g                        number of children now


emplw32           byte     %8.0g                        emplw3==2. part time


emplw33           byte     %8.0g                        emplw3==4. retired


emplw34           byte     %8.0g                        emplw3==5. unemployed


emplw3            byte     %15.0g        LABI           mode of employment now


occ1w1            byte     %15.0g        LABJ           profess executive administration in 1986


occ2w1            byte     %15.0g        LABJ           technical sales admin support  in 1986


occ3w1            byte     %15.0g        LABJ           service occup protective services  in 1986


occ4w1            byte     %15.0g        LABJ           precision prod mechan craft construction  in 1986


occ5w1            byte     %15.0g        LABJ           factory laborer machinist transp cleaner  in 1986


occ6w1            byte     %15.0g        LABJ           farming agricul forestry fishing trapping logging  in 1986


occ7w1            byte     %15.0g        LABJ           homemaking or caregiving  in 1986


occ8w1            byte     %15.0g        LABJ           student  in 1986


occ1w2            byte     %15.0g        LABJ           profess executive administration in 1996


occ2w2            byte     %15.0g        LABJ           technical sales admin support in 1996


occ3w2            byte     %15.0g        LABJ           service occup protective services in 1996


occ4w2            byte     %15.0g        LABJ           precision prod mechan craft construction in 1996


occ5w2            byte     %15.0g        LABJ           factory laborer machinist transp cleaner in 1996


occ6w2            byte     %15.0g        LABJ           farming agricul forestry fishing trapping logging in 1996


occ7w2            byte     %15.0g        LABJ           homemaking caregiving in 1996


occ8w2            byte     %15.0g        LABJ           student in 1996


occ1w3            byte     %15.0g        LABJ           professional executive administration now


occ2w3            byte     %15.0g        LABJ           technical sales admin support now


occ3w3            byte     %15.0g        LABJ           service occup protective services now


occ4w3            byte     %15.0g        LABJ           precision prod mechan craft construction now


occ5w3            byte     %15.0g        LABJ           factory laborer machinist transp cleaner now


occ6w3            byte     %15.0g        LABJ           farming agricul forestry fishing trapping logging now


occ7w3            byte     %15.0g        LABJ           homemaking or caregiving now


occ8w3            byte     %15.0g        LABJ           student now


inc1w1            byte     %15.0g        LABJ           Income is not sufficient for basic neccessities in 1986


inc2w1            byte     %15.0g        LABJ           Income is just sufficient for basic neccessities in 1986


inc3w1            byte     %15.0g        LABJ           Income is sufficient for basics plus extra purchases/savings in 1986


inc4w1            byte     %15.0g        LABJ           Income allows to comfortably afford luxury items in 1986


inc1w2            byte     %15.0g        LABJ           Income is not sufficient for basic neccessities in 1996


inc2w2            byte     %15.0g        LABJ           Income is just sufficient for basic neccessities in 1996


inc3w2            byte     %15.0g        LABJ           Income is sufficient for basics plus extra purchases/savings in 1996


inc4w2            byte     %15.0g        LABJ           Income allows to comfortably afford luxury items in 1996


inc1w3            byte     %15.0g        LABJ           Income is not sufficient for basic neccessities NOW


inc2w3            byte     %15.0g        LABJ           Income is just sufficient for basic neccessities NOW


inc3w3            byte     %15.0g        LABJ           Income is sufficient for basics plus extra purchases/savings NOW


inc4w3            byte     %15.0g        LABJ           Income allows to comfortably afford luxury items NOW


jsw1              byte     %8.0g                        Job satisfaction on a scale of 0-100% in 1986


jsw2              byte     %8.0g                        Job satisfaction on a scale of 0-100% in 1996


jsw3              byte     %8.0g                        Job satisfaction on a scale of 0-100%  NOW


deaw1             byte     %8.0g                        Total number of death experienced in time period 1986


deaw2             byte     %8.0g                        Total number of death experienced in time period 1996


deaw3             byte     %8.0g                        Total number of death experienced in time period 1996-NOW


dvcew1            byte     %8.0g                        Total number of divorces experienced in time period 1976-1986


dvcew2            byte     %8.0g                        Total number of divorces experienced in time period 1987-1996


dvcew3            byte     %8.0g                        Total number of divorces experienced in time period 1996-NOW


sepaw1            byte     %8.0g                        Total number of separations experienced in time period 1976-1986


sepaw2            byte     %8.0g                        Total number of separations experienced in time period 1987-1996


sepaw3            byte     %8.0g                        Total number of separations experienced in time period 1996-NOW


accdw1            byte     %8.0g                        Total number of accidents experienced in time period 1976-1986


accdw2            byte     %8.0g                        Total number of accidents experienced in time period 1987-1996


accdw3            byte     %8.0g                        Total number of accidents experienced in time period 1996-NOW


cataw1            byte     %8.0g                        Total number of disasters experienced in time period 1976-1986


cataw2            byte     %8.0g                        Total number of disasters experienced in time period 1987-1996


cataw3            byte     %8.0g                        Total number of disasters experienced in time period 1996-NOW


illw1             byte     %8.0g                        Total number of illnesses experienced in time period 1976-1986


illw2             byte     %8.0g                        Total number of illnesses experienced in time period 1987-1996


illw3             byte     %8.0g                        Total number of illnesses experienced in time period 1996-NOW


movew1            byte     %8.0g                        Total number of moves experienced in time period 1976-1986


movew2            byte     %8.0g                        Total number of moves experienced in time period 1987-1996


movew3            byte     %8.0g                        Total number of moves experienced in time period 1996-NOW


shjobw1           byte     %8.0g                        Percentage of strains and hassles related to job in 1986


shjobw2           byte     %8.0g                        Percentage of strains and hassles related to job in 1996


shjobw3           byte     %8.0g                    *   Percentage of strains and hassles related to job NOW


shfamw1           byte     %8.0g                        Percentage of strains and hassles related to family in 1986


shfamw2           byte     %8.0g                        Percentage of strains and hassles related to family in 1996


shfamw3           byte     %8.0g                        Percentage of strains and hassles related to family NOW


shhlw1            byte     %8.0g                        Percentage of strains and hassles related to health in 1986


shhlw2            byte     %8.0g                        Percentage of strains and hassles related to health in 1996


shhlw3            byte     %8.0g                        Percentage of strains and hassles related to health NOW


shfincw1          byte     %8.0g                        Percentage of strains and hassles related to finances in 1986


shfincw2          byte     %8.0g                        Percentage of strains and hassles related to finances in 1996


shfincw3          byte     %8.0g                        Percentage of strains and hassles related to finances NOW


shhousw1          byte     %8.0g                        Percentage of strains and hassles related to housing in 1986


shhousw2          byte     %8.0g                        Percentage of strains and hassles related to housing in 1996


shhousw3          byte     %8.0g                        Percentage of strains and hassles related to housing NOW


shrelaw1          byte     %8.0g                        Percentage of strains and hassles related to relationships in 1986


shrelaw2          byte     %8.0g                        Percentage of strains and hassles related to relationships in 1996


shrelaw3          byte     %8.0g                        Percentage of strains and hassles related to relationships NOW


suprtw1           byte     %8.0g                        Level of support (in percent) from partner in 1986


suprtw2           byte     %8.0g                        Level of support (in percent) from partner in 1996


suprtw3           byte     %8.0g                        Level of support (in percent) from partner NOW


sufamw1           byte     %8.0g                        Level of support (in percent) from family in 1986


sufamw2           byte     %8.0g                        Level of support (in percent) from family in 1996


sufamw3           byte     %8.0g                        Level of support (in percent) from family in NOW


suchrw1           byte     %8.0g                        Level of support (in percent) from Chernobyl survivor benefits in 1986


suchrw2           byte     %8.0g                        Level of support (in percent) from Chernobyl survivor benefits in 1996


suchrw3           byte     %8.0g                        Level of support (in percent) from Chernobyl survivor benefits NOW


phlthw1           byte     %8.0g                        level of general physical health in 1986


phlthw2           byte     %8.0g                        level of general physical health in 1996


phlthw3           byte     %8.0g                        level of general physical health now


mhlthw1           byte     %8.0g                        level of general psychological/mental health in 1986


mhlthw2           byte     %8.0g                        level of general psychological/mental health in 1996


mhlthw3           byte     %8.0g                        level of general psychological/mental health now


nil1w1            byte     %26.0g        ill862         name of illness 1 in time period from 1977 to 1986


nil2w1            byte     %26.0g        ill862         name of illness 2 in time period from 1977 to 1986


nil3w1            byte     %26.0g        ill862         name of illness 3 in time period from 1977 to 1986


nil4w1            byte     %26.0g        ill862         name of illness 4 in time period from 1977 to 1986


nil5w1            byte     %26.0g        ill862         name of illness 5 in time period from 1977 to 1986


nil6w1            byte     %26.0g        ill862         name of illness 6 in time period from 1977 to 1986


nil7w1            byte     %26.0g        ill862         name of illness 7 in time period from 1977 to 1986


nil8w1            byte     %26.0g        ill862         name of illness 8 in time period from 1977 to 1986


nil9w1            byte     %26.0g        ill862         name of illness 9 in time period from 1977 to 1986


nil10w1           byte     %26.0g        ill862         name of illness 10 in time period from 1977 to 1986


dil1w1            long     %d                           date of onset for illness 1 in time period from 1977 to 1986


dil2w1            int      %d                           date of onset for illness 2 in time period from 1977 to 1986


dil3w1            int      %d                           date of onset for illness 3 in time period from 1977 to 1986


dil4w1            int      %d                           date of onset for illness 4 in time period from 1977 to 1986


dil5w1            int      %d                           date of onset for illness 5 in time period from 1977 to 1986


dil6w1            byte     %d                           date of onset for illness 6 in time period from 1977 to 1986


dil7w1            byte     %d                           date of onset for illness 7 in time period from 1977 to 1986


dil8w1            byte     %d                           date of onset for illness 8 in time period from 1977 to 1986


dil9w1            byte     %d                           date of onset for illness 9 in time period from 1977 to 1986


dil10w1           byte     %d                           date of onset for illness 10 in time period from 1977 to 1986


dril1w1           double   %9.0g                        duration of illness 1 in years in time period from 1977 to 1986


dril2w1           double   %9.0g                        duration of illness 2 in years in time period from 1977 to 1986


dril3w1           byte     %8.0g                        duration of illness 3 in years in time period from 1977 to 1986


dril4w1           byte     %8.0g                        duration of illness 4 in years in time period from 1977 to 1986


dril5w1           byte     %8.0g                        duration of illness 5 in years in time period from 1977 to 1986


dril6w1           byte     %8.0g                        duration of illness 6 in years in time period from 1977 to 1986


dril7w1           byte     %8.0g                        duration of illness 7 in years in time period from 1977 to 1986


dril8w1           byte     %8.0g                        duration of illness 8 in years in time period from 1977 to 1986


dril9w1           byte     %8.0g                        duration of illness 9 in years in time period from 1977 to 1986


dril10w1          byte     %8.0g                        duration of illness 10 in years in time period from 1977 to 1986


pil1w1            byte     %15.0g        LABC           persistence of illness 1 in time period fro 1977 to 1986


pil2w1            byte     %15.0g        LABC           persistence of illness 2 in time period fro 1977 to 1986


pil3w1            byte     %15.0g        LABC           persistence of illness 3 in time period fro 1977 to 1986


pil4w1            byte     %15.0g        LABC           persistence of illness 4 in time period fro 1977 to 1986


pil5w1            byte     %15.0g        LABC           persistence of illness 5 in time period fro 1977 to 1986


pil6w1            byte     %15.0g        LABC           persistence of illness 6 in time period fro 1977 to 1986


pil7w1            byte     %15.0g        LABC           persistence of illness 7 in time period fro 1977 to 1986


pil8w1            byte     %15.0g        LABC           persistence of illness 8 in time period fro 1977 to 1986


pil9w1            byte     %15.0g        LABC           persistence of illness 9 in time period fro 1977 to 1986


pil10w1           byte     %15.0g        LABC           persistence of illness 10 in time period fro 1977 to 1986


nil1w2            byte     %26.0g        ill862         name of illness 1 in time period from 1987-1996


nil2w2            byte     %26.0g        ill862         name of illness 2 in time period from 1987-1996


nil3w2            byte     %26.0g        ill862         name of illness 3 in time period from 1987-1996


nil4w2            byte     %26.0g        ill862         name of illness 4 in time period from 1987-1996


nil5w2            byte     %26.0g        ill862         name of illness 5 in time period from 1987-1996


nil6w2            byte     %26.0g        ill862         name of illness 6 in time period from 1987-1996


nil7w2            byte     %26.0g        ill862         name of illness 7 in time period from 1987-1996


nil8w2            byte     %26.0g        ill862         name of illness 8 in time period from 1987-1996


nil9w2            byte     %26.0g        ill862         name of illness 9 in time period from 1987-1996


nil10w2           byte     %26.0g        ill862         name of illness 10 in time period from 1987-1996


dil1w2            long     %d                           date of onset of illness 1 in time period from 1987-1996


dil2w2            long     %d                           date of onset of illness 2 in time period from 1987-1996


dil3w2            int      %d                           date of onset of illness 3 in time period from 1987-1996


dil4w2            int      %d                           date of onset of illness 4 in time period from 1987-1996


dil5w2            int      %d                           date of onset of illness 5 in time period from 1987-1996


dil6w2            int      %d                           date of onset of illness 6 in time period from 1987-1996


dil7w2            int      %d                           date of onset of illness 7  in time period from 1987-1996


dil8w2            byte     %d                           date of onset of illness 8 in time period from 1987-1996


dil9w2            byte     %d                           date of onset of illness 9 in time period from 1987-1996


dil10w2           byte     %d                           date of onset of illness 10 in time period from 1987-1996


dril1w2           double   %9.0g                        duration of illness 1 in years in time period from 1987 to 1996


dril2w2           byte     %9.0g                        duration of illness 2 in years in time period from 1987 to 1996


dril3w2           byte     %8.0g                        duration of illness 3 in years in time period from 1987 to 1996


dril4w2           byte     %8.0g                        duration of illness 4 in years in time period from 1987 to 1996


dril5w2           byte     %8.0g                        duration of illness 5 in years in time period from 1987 to 1996


dril6w2           byte     %8.0g                        duration of illness 6 in years in time period from 1987 to 1996


dril7w2           byte     %8.0g                        duration of illness 7 in years in time period from 1987 to 1996


dril8w2           byte     %8.0g                        duration of illness 8 in years in time period from 1987 to 1996


dril9w2           byte     %8.0g                        duration of illness 9 in years in time period from 1987 to 1996


dril10w2          byte     %8.0g                        duration of illness 10 in years in time period from 1987 to 1996


pil1w2            byte     %15.0g        LABC           persistence of illness 1 in time period from 1987 to 1996


pil2w2            byte     %15.0g        LABC           persistence of illness 2 in time period from 1987 to 1996


pil3w2            byte     %15.0g        LABC           persistence of illness 3 in time period from 1987 to 1996


pil4w2            byte     %15.0g        LABC           persistence of illness 4 in time period from 1987 to 1996


pil5w2            byte     %15.0g        LABC           persistence of illness 5 in time period from 1987 to 1996


pil6w2            byte     %15.0g        LABC           persistence of illness 6 in time period from 1987 to 1996


pil7w2            byte     %15.0g        LABC           persistence of illness 7 in time period from 1987 to 1996


pil8w2            byte     %15.0g        LABC           persistence of illness 8 in time period from 1987 to 1996


pil9w2            byte     %15.0g        LABC           persistence of illness 9 in time period from 1987 to 1996


pil10w2           byte     %15.0g        LABC           persistence of illness 10 in time period from 1987 to 1996


nil1w3            byte     %26.0g        ill862         name of illness 1 in time period now


nil2w3            byte     %26.0g        ill862         name of illness 2 in time period now


nil3w3            byte     %26.0g        ill862         name of illness 3 in time period now


nil4w3            byte     %26.0g        ill862         name of illness 4 in time period now


nil5w3            byte     %26.0g        ill862         name of illness 5 in time period now


nil6w3            byte     %26.0g        ill862         name of illness 6 in time period now


nil7w3            byte     %26.0g        ill862         name of illness 7 in time period now


nil8w3            byte     %26.0g        ill862         name of illness 8 in time period now


nil9w3            byte     %26.0g        ill862         name of illness 9 in time period now


nil10w3           byte     %26.0g        ill862         name of illness 10 in time period now


dil1w3            long     %d                            date of onset of illness 1 now


dil2w3            int      %d                            date of onset of illness 2 now


dil3w3            long     %d                            date of onset of illness 3 now


dil4w3            int      %d                            date of onset of illness 4 now


dil5w3            int      %d                            date of onset of illness 5 now


dil6w3            int      %d                            date of onset of illness 6 now


dil7w3            int      %d                            date of onset of illness 7 now


dil8w3            int      %d                            date of onset of illness 8 now


dil9w3            int      %d                            date of onset of illness 9 now


dil10w3           int      %d                            date of onset of illness 10 now


dril1w3           byte     %8.0g                        duration of illness 1 now (in years)


dril2w3           byte     %8.0g                        duration of illness 2 now (in years)


dril3w3           byte     %8.0g                        duration of illness 3 now (in years)


dril4w3           byte     %8.0g                        duration of illness 4 now (in years)


dril5w3           byte     %8.0g                        duration of illness 5 now (in years)


dril6w3           byte     %8.0g                        duration of illness 6 now (in years)


dril7w3           byte     %8.0g                        duration of illness 7 now (in years)


dril8w3           byte     %8.0g                        duration of illness 8 now (in years)


dril9w3           byte     %8.0g                        duration of illness 9 now (in years)


dril10w3          byte     %8.0g                        duration of illness 10 now (in years)


pil1w3            byte     %15.0g        LABC           persistence of illness 1 now


pil2w3            byte     %15.0g        LABC           persistence of illness 2 now


pil3w3            byte     %15.0g        LABC           persistence of illness 3 now


pil4w3            byte     %15.0g        LABC           persistence of illness 4 now


pil5w3            byte     %15.0g        LABC           persistence of illness 5 now


pil6w3            byte     %15.0g        LABC           persistence of illness 6 now


pil7w3            byte     %15.0g        LABC           persistence of illness 7 now


pil8w3            byte     %15.0g        LABC           persistence of illness 8 now


pil9w3            byte     %15.0g        LABC           persistence of illness 9 now


pil10w3           byte     %15.0g        LABC           persistence of illness 10 now


aborw1            byte     %8.0g                        number of pregnancy terminations in time period 1976-1986


aborw2            byte     %8.0g                        number of pregnancy terminations in time period 1987-1996


aborw3            byte     %8.0g                        number of pregnancy terminations in time period 1997-now


contw1            byte     %15.0g        LABC           use of any contraception method in 1976-1986


contw2            byte     %15.0g        LABC           use of any contraception method in 1987-1996


contw3            byte     %15.0g        LABC           use of any contraception method in 1997-now


ncontw1           byte     %15.0g        LABC           use of natural contraception in 1976-1986


ncontw2           byte     %15.0g        LABC           use of natural contraception in 1987-1996


ncontw3           byte     %15.0g        LABC           use of natural contraception in 1997-now


smokw1            int      %8.0g                        number of cigarettes per week  in 1976-1986


smokw2            int      %8.0g                        number of cigarettes per week  in 1987-1996


smokw3            int      %8.0g                        number of cigarettes per week in 1997-now


beerw1            byte     %8.0g                        nuber of beers per week in 1976-1986


beerw2            byte     %8.0g                        nuber of beers per week in 1987-1996


beerw3            byte     %8.0g                        nuber of beers per week in 1997-now


liqw1             byte     %8.0g                        number of spirits per week in 1976-1986


liqw2             byte     %8.0g                        number of spirits per week in 1987-1996


liqw3             byte     %8.0g                        number of spirits per week in 1997-now


pillw1            byte     %8.0g                        number of pills for pain per week in 1976-1986


pillw2            byte     %8.0g                        number of pills for pain per week in 1987-1996


pillw3            byte     %8.0g                        number of pills for pain per week in 1997-now


medcow1           byte     %8.0g                        number of medical visits  for a medical condition per year 1976-1986


medcow2           byte     %8.0g                        number of medical visits  for a medical condition per year 1987-1996


medcow3           byte     %8.0g                        number of medical visits for a medical condition per year 1997-now


hospw1            int      %8.0g                    *   number of days per year as a patient in a clinic for medical condition  in 1976-


hospw2            int      %8.0g                    *   number of days per year as a patient in a clinic for medical condition  in 1987-


hospw3            int      %8.0g                    *   number of days per year as a patient in a clinic for medical condition  in 1997-


vishphw1          byte     %8.0g                        number of visits per year to a homeopath for a physical condition in 1976-1986


vishphw2          byte     %8.0g                        number of visits per year to a homeopath for a physical condition in 1987-1996


vishphw3          byte     %8.0g                        number of visits per year to a homeopath for a physical condition in 1997-now


mhoutw1           byte     %8.0g                        number of medical visits  for a mental health condition per year 1976-1986


mhoutw2           byte     %8.0g                        number of medical visits  for a mental health condition  per year 1987-1996


mhoutw3           byte     %8.0g                        number of medical visits for a mental health condition per year 1997-now


mhinw1            byte     %8.0g                    *   number of days per year as a patient in a clinic for a mental health  in 1976-19


mhinw2            int      %8.0g                    *   number of days per year as a patient in a clinic for a mental health  in 1987-19


mhinw3            byte     %8.0g                    *   number of days per year as a patient in a clinic for a mental health  in 1997-no


vishpw1           byte     %8.0g                    *   number of visits per year to a homeopath for a mental health condition in 1976-1


vishpw2           byte     %8.0g                    *   number of visits per year to a homeopath for a mental health condition in 1987-1


vishpw3           byte     %8.0g                    *   number of visits per year to a homeopath for a mental health condition in 1997-n


goferw1           byte     %8.0g                        level of fear in percent from going outdoors in 1976-1986


goferw2           byte     %8.0g                        level of fear in percent from going outdoors in 1987-1996


goferw3           byte     %8.0g                        level of fear in percent from going outdoors in 1997-now


fdferw1           byte     %8.0g                    *   level of fear in percent from consuming foods contaminated with radiation in 197


fdferw2           byte     %8.0g                    *   level of fear in percent from consuming foods contaminated with radiation in 198


fdferw3           byte     %8.0g                    *   level of fear in percent from consuming foods contaminated with radiation in 199


trgovw1           byte     %8.0g                        level of trust in government reports about chornobyl in time period 1976-1986


trgovw2           byte     %8.0g                        level of trust in government reports about chornobyl in time period 1987-1996


trgovw3           byte     %8.0g                        level of trust in government reports about chornobyl in time period 1997-now


trrepw1           byte     %8.0g                    *   level of trust in  medical/scientific reports about chornobyl in time period 197


trrepw2           byte     %8.0g                    *   level of trust in  medical/scientific reports about chornobyl in time period 198


trrepw3           byte     %8.0g                    *   level of trust in medical/scientific reports about chornobyl in time period 1997


townacc           str23    %23s                     *   village/ town/ city at time of accident


raiacc            str23    %23s                         raion at the time of Chornobyl accident


latacc            byte     %15.0g        LABF           latitude of residence at time of accident


lonacc            byte     %12.0g        lon            longitude of residence at time of accident


latdacc           byte     %8.0g                        latitude (in degrees) at time of accident


londacc           int      %8.0g                        longitude (in degrees) at time of accident


latmacc           byte     %8.0g                        latitude (in minutes) at time of accident


lonmacc           byte     %8.0g                        longitude (in minutes) at time of accident


oblacc            byte     %31.0g        LABG           oblast of residence at time of accident


kmacc             int      %8.0g                        distance of residence from the chornobyl plant (in kilometers)


townwork          str23    %23s                         village/town/ city of w/s at time of accident


rawork            str23    %23s                         raion of w/s at time of accident


latwork           byte     %15.0g        LABF           latitude of place of work/study at time of accident


lonwork           byte     %12.0g        lon            longitude of place of work/study at time of accident


latdwork          byte     %8.0g                        latitude (in degrees) of place of work/study at time of accident


londwork          int      %8.0g                        longitude (in degrees) of place of work/study at time of accident


latmwork          byte     %8.0g                        latitude (in minutes) of place of work/study at time of accident


lonmwork          byte     %8.0g                        longitude (in minutes) of place of work/study at time of accident


oblwork           byte     %31.0g        LABG           oblast of work /study at the time of accident


kmwork            int      %8.0g                    *   approximately how far away was your w/s from the chornobyl plant (in kilometers)


injself           byte     %15.0g        LABC           were you injured as a result of the chornobyl accident in 1986?


injselfr          byte     %9.0g         dum            Were u injured because of Chornobyl acc in 1986?


injoth            byte     %15.0g        LABC           was anyone you know injured as a result of the chornobyl accident?


injothr           byte     %9.0g         inj            Was anyone u know injured by Chornobyl accident?


evacself          byte     %15.0g        LABC           were you evacuated as a result of the chornobyl accident and its aftermath?


evacselfr         byte     %9.0g         dum            Were u evacuated because of Chornobyl accident in 1986?


relself           byte     %15.0g        LABC           were you relocated?


relselfr          byte     %9.0g         dum            Were u relocated because of Chornobyl accident?


townrel           str32    %32s                         village/ town/ city of relocated residence


rarel             str32    %32s                         raion of relocated residence


latrel            byte     %15.0g        LABF           latitude of relocated residence


lonrel            byte     %12.0g        lon            longitude of relocated residence


latdrel           byte     %8.0g                        latitude in degrees of relocated residence


londrel           byte     %8.0g                        longitude in degrees of relocated residence


latmrel           int      %8.0g                        latitude in minutes of relocated residence


lonmrel           int      %8.0g                        longitude in minutes of relocated residence


defnw1            byte     %8.0g                    *   consider hazardous (in percent) - deficiencies in essential nutrition in 1986


defnw2            byte     %8.0g                    *   consider hazardous (in percent) - deficiencies in essential nutrition in 1996


defnw3            byte     %8.0g                    *   consider hazardous (in percent) - deficiencies in essential nutrition NOW


efradw1           byte     %8.0g                        consider hazardous (in percent) - effects of radiation in 1986


efradw2           byte     %8.0g                        consider hazardous (in percent) - effects of radiation in 1996


efradw3           byte     %8.0g                        consider hazardous (in percent) - effects of radiation NOW


ecprw1            byte     %8.0g                        consider hazardous (in percent) - economic problems in 1986


ecprw2            byte     %8.0g                        consider hazardous (in percent) - economic problems in 1996


ecprw3            byte     %8.0g                        consider hazardous (in percent) - economic problems, NOW


polprw1           byte     %8.0g                        consider hazardous (in percent) - political problems in 1986


polprw2           byte     %8.0g                        consider hazardous (in percent) - political problems in 1996


polprw3           byte     %8.0g                        consider hazardous (in percent) - political problems NOW


airw1             byte     %8.0g                        consider hazardous (in percent) - air and water pollution in 1986


airw2             byte     %8.0g                        consider hazardous (in percent) - air and water pollution in 1996


airw3             byte     %8.0g                        consider hazardous (in percent) - air and water pollution NOW


radw1             byte     %8.0g                        believed % of the radioactively contaminated area  in 1986


radw2             byte     %8.0g                        believed % of the radioactively contaminated area in 1996


radw3             byte     %8.0g                        believed % of the radioactively contaminated area NOW


radchw1           byte     %8.0g                        believed % of polution related to chornobyl in 1986


radchw2           byte     %8.0g                        believed % of polution related to chornobyl in 1996


radchw3           byte     %8.0g                        believed % of polution related to chornobyl NOW


radtlw1           byte     %8.0g                        believed % of cumulative radiation exposed to in a lifetime in 1986


radtlw2           byte     %8.0g                        believed % of cumulative radiation exposed to in a lifetime in 1996


radtlw3           byte     %8.0g                        believed % of cumulative radiation exposed to in a lifetime NOW


radhlw1           byte     %8.0g                        Self-perceived Chornobyl health threat in wave 1


radhlw2           byte     %8.0g                        how much believed personal health is affected by radiation in 1996


radhlw3           byte     %8.0g                        Self-perceived Chornobyl health threat in wave 3


radhlwc1          byte     %9.0g                        Collapsed version of radhlw1 with a cut point of 0-49=0 and 50-100=1


radhlwc2          byte     %9.0g                        Collapsed version of radhlw2 with a cut point of 0-49=0 and 50-100=1


radhlwc3          byte     %9.0g                        Collapsed version of radhlw1 with a cut point of 0-49=0 and 50-100=1


radfmw1           byte     %8.0g                        how much believed family health is affected by radiation in 1986


radfmw2           byte     %8.0g                        how much believed family health is affected by radiation in 1996


radfmw3           byte     %8.0g                        Observed


source            byte     %31.0g        q85        *   what was your initial source of information about the chornobyl plant accident?


dafter            int      %8.0g                    *   how many days lapsed after Chornobyl accident before you heard about the acciden


dauthw1           byte     %8.0g                        level of danger by authorities (in percent) in 1986


dauthw2           byte     %8.0g                        level of danger by authorities (in percent) in 1996


dauthw3           byte     %8.0g                        level of danger by authorities (in percent) NOW


medw1             byte     %8.0g                        level of danger by general media (in percent) in 1986


medw2             byte     %8.0g                        level of danger by general media (in percent) in 1996


medw3             byte     %8.0g                        level of danger by general media (in percent) NOW


neiw1             byte     %8.0g                        level of danger by neighbors (in percent) in 1986


neiw2             byte     %8.0g                        level of danger by neighbors (in percent) in 1996


neiw3             byte     %8.0g                        level of danger by neighbors (in percent) NOW


toxic             byte     %8.0g                        all radioactive materials remain toxic for thousands of years (% of agreement)


repair            byte     %8.0g                    *    body has capability to repair tissue damage caused by exposure (% of agreement)


skin              byte     %8.0g                        a suntan is caused by radiating damage to the skin (% of agreement)


near              byte     %8.0g                    *   radiation from a nuclear plant site is more concentrated near the plant (% of ag


cloud             byte     %8.0g                    *   radioactive fallout is only harmful when visible (% of agreement)


world             byte     %8.0g                    *   the chornobyl accident has affected people around the world (% of agreement)


healthef          byte     %8.0g                    *   a person exposed to any radiation  likely to suffer from (% of agreement)


carcin            byte     %8.0g                    *   a person exposed to carcinogen  is likely to get cancer (% of agreement)


woman             byte     %8.0g                    *   pregnant exposed to radiation likely to give birth to children with deffects (%


saferad           byte     %8.0g                        there is no safe level of radiation (% of agreement)


goodrad           byte     %8.0g                        small doses can actually improve one's health (% of agreement)


kzchorn           byte     %8.0g                    *   in k/z most cases of cancer in humans are known to be caused by radiation from


kzunder           byte     %8.0g                        people in k/z underestimate the risks assoicated with radiation (% of agreement)


chsize            byte     %8.0g                    *   the radioactive fallout from chornobyl affected more people than the radioactive


icdxcnt           byte     %9.0g                        count of icdx illnesses


icddx1            str32    %10s                         icd – 10 code illness 1


icddx2            str32    %10s                         icd – 10 code illness 2


icddx3            str32    %10s                         icd – 10 code illness 3


icddx4            str32    %10s                         icd – 10 code illness 4


icddx5            str32    %10s                         icd – 10 code illness 5


icddx6            str32    %10s                         icd – 10 code illness 6


icddx7            str32    %10s                         icd – 10 code illness 7


icddx8            str32    %10s                         icd – 10 code illness 8


icddx9            str32    %10s                         icd – 10 code illness 9


icddx10           str32    %10s                         icd – 10 code illness 10


icddx11           str32    %10s                         icd – 10 code illness 11


icddx12           str32    %10s                         icd – 10 code illness 12


dxdat_1           long     %d                           date of original onset (mm/dd/yyyy) illness 1


dxdat_2           int      %d                           date of original onset (mm/dd/yyyy) illness 2


dxdat_3           long     %d                           date of original onset (mm/dd/yyyy) illness 3


dxdat_4           long     %d                           date of original onset (mm/dd/yyyy) illness 4


dxdat_5           int      %d                           date of original onset (mm/dd/yyyy) illness 5


dxdat_6           int      %d                           date of original onset (mm/dd/yyyy) illness 6


dxdat_7           int      %d                           date of original onset (mm/dd/yyyy) illness 7


dxdat_8           int      %d                           date of original onset (mm/dd/yyyy) illness 8


dxdat_9           int      %d                           date of original onset (mm/dd/yyyy) illness 9


dxdat_10          int      %d                           date of original onset (mm/dd/yyyy) illness 10


dxdat_11          int      %d                           date of original onset (mm/dd/yyyy) illness 11


dxdat_12          int      %d                           date of original onset (mm/dd/yyyy) illness 12


dxnum1            byte     %8.0g                        number of years the desease persisted illness 1


dxnum2            byte     %8.0g                        number of years the desease persisted illness 2


dxnum3            byte     %8.0g                        number of years the desease persisted illness 3


dxnum4            byte     %8.0g                        number of years the desease persisted illness 4


dxnum5            byte     %8.0g                        number of years the desease persisted illness 5


dxnum6            byte     %8.0g                        number of years the desease persisted illness 6


dxnum7            byte     %8.0g                        number of years the desease persisted illness 7


dxnum8            byte     %8.0g                        number of years the desease persisted illness 8


dxnum9            byte     %8.0g                        number of years the desease persisted illness 9


dxnum10           byte     %8.0g                        number of years the desease persisted illness 10


dxnum11           byte     %8.0g                        number of years the desease persisted illness 11


dxnum12           byte     %8.0g                        number of years the desease persisted illness 12


deprl1980         byte     %8.0g                    *   level of depression (in percentage) in 1980


deprl1981         byte     %8.0g                        level of depression (in percentage) in 1981


deprl1982         byte     %8.0g                        level of depression (in percentage) in 1982


deprl1983         byte     %8.0g                        level of depression (in percentage) in 1983


deprl1984         byte     %8.0g                        level of depression (in percentage) in 1984


deprl1985         byte     %8.0g                        level of depression (in percentage) in 1985


deprl1986         byte     %8.0g                        level of depression (in percentage) in 1986


deprl1987         byte     %8.0g                        level of depression (in percentage) in 1987


deprl1988         byte     %8.0g                        level of depression (in percentage) in 1988


deprl1989         byte     %8.0g                        level of depression (in percentage) in 1989


deprl1990         byte     %8.0g                        level of depression (in percentage) in 1990


deprl1991         byte     %8.0g                        level of depression (in percentage) in 1991


deprl1992         byte     %8.0g                        level of depression (in percentage) in 1992


deprl1993         byte     %8.0g                        level of depression (in percentage) in 1993


deprl1994         byte     %8.0g                        level of depression (in percentage) in 1994


deprl1995         byte     %8.0g                        level of depression (in percentage) in 1995


deprl1996         byte     %8.0g                        level of depression (in percentage) in 1996


deprl1997         byte     %8.0g                        level of depression (in percentage) in 1997


deprl1998         byte     %8.0g                        level of depression (in percentage) in 1998


deprl1999         byte     %8.0g                        level of depression (in percentage) in 1999


deprl2000         byte     %8.0g                        level of depression (in percentage) in 2000


deprl2001         byte     %8.0g                        level of depression (in percentage) in 2001


deprl2002         byte     %8.0g                        level of depression (in percentage) in 2002


deprl2003         byte     %8.0g                        level of depression (in percentage) in 2003


deprl2004         byte     %8.0g                        level of depression (in percentage) in 2004


deprl2005         byte     %8.0g                        level of depression (in percentage) in 2005


deprl2006         byte     %8.0g                        level of depression (in percentage) in 2006


deprl2007         byte     %8.0g                        level of depression (in percentage) in 2007


deprl2008         byte     %8.0g                        level of depression (in percentage) in 2008


deprl2009         byte     %8.0g                        level of depression (in percentage) in 2009


deprl2010         byte     %8.0g                        level of depression (in percentage) in 2010


anxl1980          byte     %8.0g                        level of anxiety (in percentage) in 1980


anxl1981          byte     %8.0g                        level of anxiety (in percentage) in 1981


anxl1982          byte     %8.0g                        level of anxiety (in percentage) in 1982


anxl1983          byte     %8.0g                        level of anxiety (in percentage) in 1983


anxl1984          byte     %8.0g                        level of anxiety (in percentage) in 1984


anxl1985          byte     %8.0g                        level of anxiety (in percentage) in 1985


anxl1986          byte     %8.0g                        level of anxiety (in percentage) in 1986


anxl1987          byte     %8.0g                        level of anxiety (in percentage) in 1987


anxl1988          byte     %8.0g                        level of anxiety (in percentage) in 1988


anxl1989          byte     %8.0g                        level of anxiety (in percentage) in 1989


anxl1990          byte     %8.0g                        level of anxiety (in percentage) in 1990


anxl1991          byte     %8.0g                        level of anxiety (in percentage) in 1991


anxl1992          byte     %8.0g                        level of anxiety (in percentage) in 1992


anxl1993          byte     %8.0g                        level of anxiety (in percentage) in 1993


anxl1994          byte     %8.0g                        level of anxiety (in percentage) in 1994


anxl1995          byte     %8.0g                        level of anxiety (in percentage) in 1995


anxl1996          byte     %8.0g                        level of anxiety (in percentage) in 1996


anxl1997          byte     %8.0g                        level of anxiety (in percentage) in 1997


anxl1998          byte     %8.0g                        level of anxiety (in percentage) in 1998


anxl1999          byte     %8.0g                        level of anxiety (in percentage) in 1999


anxl2000          byte     %8.0g                        level of anxiety (in percentage) in 2000


anxl2001          byte     %8.0g                        level of anxiety (in percentage) in 2001


anxl2002          byte     %8.0g                        level of anxiety (in percentage) in 2002


anxl2003          byte     %8.0g                        level of anxiety (in percentage) in 2003


anxl2004          byte     %8.0g                        level of anxiety (in percentage) in 2004


anxl2005          byte     %8.0g                        level of anxiety (in percentage) in 2005


anxl2006          byte     %8.0g                        level of anxiety (in percentage) in 2006


anxl2007          byte     %8.0g                        level of anxiety (in percentage) in 2007


anxl2008          byte     %8.0g                        level of anxiety (in percentage) in 2008


anxl2009          byte     %8.0g                        level of anxiety (in percentage) in 2009


anxl2010          byte     %8.0g                        level of anxiety (in percentage) in 2010


pdisl1980         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1980


pdisl1981         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1981


pdisl1982         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1982


pdisl1983         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1983


pdisl1984         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1984


pdisl1985         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1985


pdisl1986         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1986


pdisl1987         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1987


pdisl1988         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1988


pdisl1989         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1989


pdisl1990         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1990


pdisl1991         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1991


pdisl1992         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1992


pdisl1993         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1993


pdisl1994         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1994


pdisl1995         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1995


pdisl1996         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1996


pdisl1997         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1997


pdisl1998         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1998


pdisl1999         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 1999


pdisl2000         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2000


pdisl2001         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2001


pdisl2002         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2002


pdisl2003         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2003


pdisl2004         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2004


pdisl2005         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2005


pdisl2006         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2006


pdisl2007         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2007


pdisl2008         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2008


pdisl2009         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2009


pdisl2010         byte     %8.0g                        level of somatic/physical discomforts (in percentage) in 2010


emrel1980         byte     %8.0g                        intensity of ptsd reactions in 1980


emrel1981         byte     %8.0g                        intensity of ptsd reactions in 1981


emrel1982         byte     %8.0g                        intensity of ptsd reactions in 1982


emrel1983         byte     %8.0g                        intensity of ptsd reactions in 1983


emrel1984         byte     %8.0g                        intensity of ptsd reactions in 1984


emrel1985         byte     %8.0g                        intensity of ptsd reactions in 1985


emrel1986         byte     %8.0g                        intensity of ptsd reactions in 1986


emrel1987         byte     %8.0g                        intensity of ptsd reactions in 1987


emrel1988         byte     %8.0g                        intensity of ptsd reactions in 1988


emrel1989         byte     %8.0g                        intensity of ptsd reactions in 1989


emrel1990         byte     %8.0g                        intensity of ptsd reactions in 1990


emrel1991         byte     %8.0g                        intensity of ptsd reactions in 1991


emrel1992         byte     %8.0g                        intensity of ptsd reactions in 1992


emrel1993         byte     %8.0g                        intensity of ptsd reactions in 1993


emrel1994         byte     %8.0g                        intensity of ptsd reactions in 1994


emrel1995         byte     %8.0g                        intensity of ptsd reactions in 1995


emrel1996         byte     %8.0g                        intensity of ptsd reactions in 1996


emrel1997         byte     %8.0g                        intensity of ptsd reactions in 1997


emrel1998         byte     %8.0g                        intensity of ptsd reactions in 1998


emrel1999         byte     %8.0g                        intensity of ptsd reactions in 1999


emrel2000         byte     %8.0g                        intensity of ptsd reactions in 2000


emrel2001         byte     %8.0g                        intensity of ptsd reactions in 2001


emrel2002         byte     %8.0g                        intensity of ptsd reactions in 2002


emrel2003         byte     %8.0g                        intensity of ptsd reactions in 2003


emrel2004         byte     %8.0g                        intensity of ptsd reactions in 2004


emrel2005         byte     %8.0g                        intensity of ptsd reactions in 2005


emrel2006         byte     %8.0g                        intensity of ptsd reactions in 2006


emrel2007         byte     %8.0g                        intensity of ptsd reactions in 2007


emrel2008         byte     %8.0g                        intensity of ptsd reactions in 2008


emrel2009         byte     %8.0g                        intensity of ptsd reactions in 2009


emrel2010         byte     %8.0g                        intensity of ptsd reactions in 2010


hlthl1980         byte     %8.0g                        intensity of work related problems due to health in 1980


hlthl1981         byte     %8.0g                        intensity of work related problems due to health in 1981


hlthl1982         byte     %8.0g                        intensity of work related problems due to health in 1982


hlthl1983         byte     %8.0g                        intensity of work related problems due to health in 1983


hlthl1984         byte     %8.0g                        intensity of work related problems due to health in 1984


hlthl1985         byte     %8.0g                        intensity of work related problems due to health in 1985


hlthl1986         byte     %8.0g                        intensity of work related problems due to health in 1986


hlthl1987         byte     %8.0g                        intensity of work related problems due to health in 1987


hlthl1988         byte     %8.0g                        intensity of work related problems due to health in 1988


hlthl1989         byte     %8.0g                        intensity of work related problems due to health in 1989


hlthl1990         byte     %8.0g                        intensity of work related problems due to health in 1990


hlthl1991         byte     %8.0g                        intensity of work related problems due to health in 1991


hlthl1992         byte     %8.0g                        intensity of work related problems due to health in 1992


hlthl1993         byte     %8.0g                        intensity of work related problems due to health in 1993


hlthl1994         byte     %8.0g                        intensity of work related problems due to health in 1994


hlthl1995         byte     %8.0g                        intensity of work related problems due to health in 1995


hlthl1996         byte     %8.0g                        intensity of work related problems due to health in 1996


hlthl1997         byte     %8.0g                        intensity of work related problems due to health in 1997


hlthl1998         byte     %8.0g                        intensity of work related problems due to health in 1998


hlthl1999         byte     %8.0g                        intensity of work related problems due to health in 1999


hlthl2000         byte     %8.0g                        intensity of work related problems due to health in 2000


hlthl2001         byte     %8.0g                        intensity of work related problems due to health in 2001


hlthl2002         byte     %8.0g                        intensity of work related problems due to health in 2002


hlthl2003         byte     %8.0g                        intensity of work related problems due to health in 2003


hlthl2004         byte     %8.0g                        intensity of work related problems due to health in 2004


hlthl2005         byte     %8.0g                        intensity of work related problems due to health in 2005


hlthl2006         byte     %8.0g                        intensity of work related problems due to health in 2006


hlthl2007         byte     %8.0g                        intensity of work related problems due to health in 2007


hlthl2008         byte     %8.0g                        intensity of work related problems due to health in 2008


hlthl2009         byte     %8.0g                        intensity of work related problems due to health in 2009


hlthl2010         byte     %8.0g                        intensity of work related problems due to health in 2010


homel1980         byte     %8.0g                    *   intensity of home related problems due to health in 1980


homel1981         byte     %8.0g                        intensity of home related problems due to health in 1981


homel1982         byte     %8.0g                        intensity of home related problems due to health in 1982


homel1983         byte     %8.0g                        intensity of home related problems due to health in 1983


homel1984         byte     %8.0g                        intensity of home related problems due to health in 1984


homel1985         byte     %8.0g                        intensity of home related problems due to health in 1985


homel1986         byte     %8.0g                        intensity of home related problems due to health in 1986


homel1987         byte     %8.0g                        intensity of home related problems due to health in 1987


homel1988         byte     %8.0g                        intensity of home related problems due to health in 1988


homel1989         byte     %8.0g                        intensity of home related problems due to health in 1989


homel1990         byte     %8.0g                        intensity of home related problems due to health in 1990


homel1991         byte     %8.0g                        intensity of home related problems due to health in 1991


homel1992         byte     %8.0g                        intensity of home related problems due to health in 1992


homel1993         byte     %8.0g                        intensity of home related problems due to health in 1993


homel1994         byte     %8.0g                        intensity of home related problems due to health in 1994


homel1995         byte     %8.0g                        intensity of home related problems due to health in 1995


homel1996         byte     %8.0g                        intensity of home related problems due to health in 1996


homel1997         byte     %8.0g                        intensity of home related problems due to health in 1997


homel1998         byte     %8.0g                        intensity of home related problems due to health in 1998


homel1999         byte     %8.0g                        intensity of home related problems due to health in 1999


homel2000         byte     %8.0g                        intensity of home related problems due to health in 2000


homel2001         byte     %8.0g                        intensity of home related problems due to health in 2001


homel2002         byte     %8.0g                        intensity of home related problems due to health in 2002


homel2003         byte     %8.0g                        intensity of home related problems due to health in 2003


homel2004         byte     %8.0g                        intensity of home related problems due to health in 2004


homel2005         byte     %8.0g                        intensity of home related problems due to health in 2005


homel2006         byte     %8.0g                        intensity of home related problems due to health in 2006


homel2007         byte     %8.0g                        intensity of home related problems due to health in 2007


homel2008         byte     %8.0g                        intensity of home related problems due to health in 2008


homel2009         byte     %8.0g                        intensity of home related problems due to health in 2009


homel2010         byte     %8.0g                        intensity of home related problems due to health in 2010


solil1980         byte     %8.0g                        intensity of social life related problems due to health in 1980


solil1981         byte     %8.0g                        intensity of social life related problems due to health in 1981


solil1982         byte     %8.0g                        intensity of social life related problems due to health in 1982


solil1983         byte     %8.0g                        intensity of social life related problems due to health in 1983


solil1984         byte     %8.0g                        intensity of social life related problems due to health in 1984


solil1985         byte     %8.0g                        intensity of social life related problems due to health in 1985


solil1986         byte     %8.0g                        intensity of social life related problems due to health in 1986


solil1987         byte     %8.0g                        intensity of social life related problems due to health in 1987


solil1988         byte     %8.0g                        intensity of social life related problems due to health in 1988


solil1989         byte     %8.0g                        intensity of social life related problems due to health in 1989


solil1990         byte     %8.0g                        intensity of social life related problems due to health in 1990


solil1991         byte     %8.0g                        intensity of social life related problems due to health in 1991


solil1992         byte     %8.0g                        intensity of social life related problems due to health in 1992


solil1993         byte     %8.0g                        intensity of social life related problems due to health in 1993


solil1994         byte     %8.0g                        intensity of social life related problems due to health in 1994


solil1995         byte     %8.0g                        intensity of social life related problems due to health in 1995


solil1996         byte     %8.0g                        intensity of social life related problems due to health in 1996


solil1997         byte     %8.0g                        intensity of social life related problems due to health in 1997


solil1998         byte     %8.0g                        intensity of social life related problems due to health in 1998


solil1999         byte     %8.0g                        intensity of social life related problems due to health in 1999


solil2000         byte     %8.0g                        intensity of social life related problems due to health in 2000


solil2001         byte     %8.0g                        intensity of social life related problems due to health in 2001


solil2002         byte     %8.0g                        intensity of social life related problems due to health in 2002


solil2003         byte     %8.0g                        intensity of social life related problems due to health in 2003


solil2004         byte     %8.0g                        intensity of social life related problems due to health in 2004


solil2005         byte     %8.0g                        intensity of social life related problems due to health in 2005


solil2006         byte     %8.0g                        intensity of social life related problems due to health in 2006


solil2007         byte     %8.0g                        intensity of social life related problems due to health in 2007


solil2008         byte     %8.0g                        intensity of social life related problems due to health in 2008


solil2009         byte     %8.0g                        intensity of social life related problems due to health in 2009


solil2010         byte     %8.0g                        intensity of social life related problems due to health in 2010


holil1980         byte     %8.0g                        intensity of home life related problems due to health in 1980


holil1981         byte     %8.0g                        intensity of home life related problems due to health in 1981


holil1982         byte     %8.0g                        intensity of home life related problems due to health in 1982


holil1983         byte     %8.0g                        intensity of home life related problems due to health in 1983


holil1984         byte     %8.0g                        intensity of home life related problems due to health in 1984


holil1985         byte     %8.0g                        intensity of home life related problems due to health in 1985


holil1986         byte     %8.0g                        intensity of home life related problems due to health in 1986


holil1987         byte     %8.0g                        intensity of home life related problems due to health in 1987


holil1988         byte     %8.0g                        intensity of home life related problems due to health in 1988


holil1989         byte     %8.0g                        intensity of home life related problems due to health in 1989


holil1990         byte     %8.0g                        intensity of home life related problems due to health in 1990


holil1991         byte     %8.0g                        intensity of home life related problems due to health in 1991


holil1992         byte     %8.0g                        intensity of home life related problems due to health in 1992


holil1993         byte     %8.0g                        intensity of home life related problems due to health in 1993


holil1994         byte     %8.0g                        intensity of home life related problems due to health in 1994


holil1995         byte     %8.0g                        intensity of home life related problems due to health in 1995


holil1996         byte     %8.0g                        intensity of home life related problems due to health in 1996


holil1997         byte     %8.0g                        intensity of home life related problems due to health in 1997


holil1998         byte     %8.0g                        intensity of home life related problems due to health in 1998


holil1999         byte     %8.0g                        intensity of home life related problems due to health in 1999


holil2000         byte     %8.0g                        intensity of home life related problems due to health in 2000


holil2001         byte     %8.0g                        intensity of home life related problems due to health in 2001


holil2002         byte     %8.0g                        intensity of home life related problems due to health in 2002


holil2003         byte     %8.0g                        intensity of home life related problems due to health in 2003


holil2004         byte     %8.0g                        intensity of home life related problems due to health in 2004


holil2005         byte     %8.0g                        intensity of home life related problems due to health in 2005


holil2006         byte     %8.0g                        intensity of home life related problems due to health in 2006


holil2007         byte     %8.0g                        intensity of home life related problems due to health in 2007


holil2008         byte     %8.0g                        intensity of home life related problems due to health in 2008


holil2009         byte     %8.0g                        intensity of home life related problems due to health in 2009


holil2010         byte     %8.0g                        intensity of home life related problems due to health in 2010


sexll1980         byte     %8.0g                        intensity of home life related problems due to health in 1980


sexll1981         byte     %8.0g                        intensity of home life related problems due to health in 1981


sexll1982         byte     %8.0g                        intensity of home life related problems due to health in 1982


sexll1983         byte     %8.0g                        intensity of home life related problems due to health in 1983


sexll1984         byte     %8.0g                        intensity of home life related problems due to health in 1984


sexll1985         byte     %8.0g                        intensity of home life related problems due to health in 1985


sexll1986         byte     %8.0g                        intensity of home life related problems due to health in 1986


sexll1987         byte     %8.0g                        intensity of home life related problems due to health in 1987


sexll1988         byte     %8.0g                        intensity of home life related problems due to health in 1988


sexll1989         byte     %8.0g                        intensity of home life related problems due to health in 1989


sexll1990         byte     %8.0g                        intensity of home life related problems due to health in 1990


sexll1991         byte     %8.0g                        intensity of home life related problems due to health in 1991


sexll1992         byte     %8.0g                        intensity of home life related problems due to health in 1992


sexll1993         byte     %8.0g                        intensity of home life related problems due to health in 1993


sexll1994         byte     %8.0g                        intensity of home life related problems due to health in 1994


sexll1995         byte     %8.0g                        intensity of home life related problems due to health in 1995


sexll1996         byte     %8.0g                        intensity of home life related problems due to health in 1996


sexll1997         byte     %8.0g                        intensity of home life related problems due to health in 1997


sexll1998         byte     %8.0g                        intensity of home life related problems due to health in 1998


sexll1999         byte     %8.0g                        intensity of home life related problems due to health in 1999


sexll2000         byte     %8.0g                        intensity of home life related problems due to health in 2000


sexll2001         byte     %8.0g                        intensity of home life related problems due to health in 2001


sexll2002         byte     %8.0g                        intensity of home life related problems due to health in 2002


sexll2003         byte     %8.0g                        intensity of home life related problems due to health in 2003


sexll2004         byte     %8.0g                        intensity of home life related problems due to health in 2004


sexll2005         byte     %8.0g                        intensity of home life related problems due to health in 2005


sexll2006         byte     %8.0g                        intensity of home life related problems due to health in 2006


sexll2007         byte     %8.0g                        intensity of home life related problems due to health in 2007


sexll2008         byte     %8.0g                        intensity of home life related problems due to health in 2008


sexll2009         byte     %8.0g                        intensity of home life related problems due to health in 2009


sexll2010         byte     %8.0g                        intensity of home life related problems due to health in 2010


inhol1980         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1980


inhol1981         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1981


inhol1982         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1982


inhol1983         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1983


inhol1984         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1984


inhol1985         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1985


inhol1986         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1986


inhol1987         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1987


inhol1988         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1988


inhol1989         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1989


inhol1990         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1990


inhol1991         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1991


inhol1992         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1992


inhol1993         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1993


inhol1994         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1994


inhol1995         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1995


inhol1996         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1996


inhol1997         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1997


inhol1998         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1998


inhol1999         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 1999


inhol2000         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2000


inhol2001         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2001


inhol2002         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2002


inhol2003         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2003


inhol2004         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2004


inhol2005         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2005


inhol2006         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2006


inhol2007         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2007


inhol2008         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2008


inhol2009         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2009


inhol2010         byte     %8.0g                        intensity of interest and hobbies related problems due to health in 2010


wendl1980         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1980


wendl1981         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1981


wendl1982         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1982


wendl1983         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1983


wendl1984         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1984


wendl1985         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1985


wendl1986         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1986


wendl1987         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1987


wendl1988         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1988


wendl1989         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1989


wendl1990         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1990


wendl1991         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1991


wendl1992         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1992


wendl1993         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1993


wendl1994         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1994


wendl1995         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1995


wendl1996         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1996


wendl1997         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1997


wendl1998         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1998


wendl1999         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 1999


wendl2000         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2000


wendl2001         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2001


wendl2002         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2002


wendl2003         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2003


wendl2004         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2004


wendl2005         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2005


wendl2006         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2006


wendl2007         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2007


wendl2008         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2008


wendl2009         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2009


wendl2010         byte     %8.0g                        intensity of holidays - weekends related problems due to health in 2010


smokel1980        int      %8.0g                        number of cigarettes smoked per week in 1980


smokel1981        int      %8.0g                        number of cigarettes smoked per week in 1981


smokel1982        int      %8.0g                        number of cigarettes smoked per week in 1982


smokel1983        int      %8.0g                        number of cigarettes smoked per week in 1983


smokel1984        int      %8.0g                        number of cigarettes smoked per week in 1984


smokel1985        int      %8.0g                        number of cigarettes smoked per week in 1985


smokel1986        int      %8.0g                        number of cigarettes smoked per week in 1986


smokel1987        int      %8.0g                        number of cigarettes smoked per week in 1987


smokel1988        int      %8.0g                        number of cigarettes smoked per week in 1988


smokel1989        int      %8.0g                        number of cigarettes smoked per week in 1989


smokel1990        int      %8.0g                        number of cigarettes smoked per week in 1990


smokel1991        int      %8.0g                        number of cigarettes smoked per week in 1991


smokel1992        int      %8.0g                        number of cigarettes smoked per week in 1992


smokel1993        int      %8.0g                        number of cigarettes smoked per week in 1993


smokel1994        int      %8.0g                        number of cigarettes smoked per week in 1994


smokel1995        int      %8.0g                        number of cigarettes smoked per week in 1995


smokel1996        int      %8.0g                        number of cigarettes smoked per week in 1996


smokel1997        int      %8.0g                        number of cigarettes smoked per week in 1997


smokel1998        int      %8.0g                        number of cigarettes smoked per week in 1998


smokel1999        int      %8.0g                        number of cigarettes smoked per week in 1999


smokel2000        int      %8.0g                        number of cigarettes smoked per week in 2000


smokel2001        int      %8.0g                        number of cigarettes smoked per week in 2001


smokel2002        int      %8.0g                        number of cigarettes smoked per week in 2002


smokel2003        int      %8.0g                        number of cigarettes smoked per week in 2003


smokel2004        int      %8.0g                        number of cigarettes smoked per week in 2004


smokel2005        int      %8.0g                        number of cigarettes smoked per week in 2005


smokel2006        int      %8.0g                        number of cigarettes smoked per week in 2006


smokel2007        int      %8.0g                        number of cigarettes smoked per week in 2007


smokel2008        int      %8.0g                        number of cigarettes smoked per week in 2008


smokel2009        int      %8.0g                        number of cigarettes smoked per week in 2009


smokel2010        int      %8.0g                        number of cigarettes smoked per week in 2010


drinl1980         byte     %8.0g                        number of beer of wine consumed per week in 1980


drinl1981         byte     %8.0g                        number of beer of wine consumed per week in 1981


drinl1982         byte     %8.0g                        number of beer of wine consumed per week in 1982


drinl1983         byte     %8.0g                        number of beer of wine consumed per week in 1983


drinl1984         byte     %8.0g                        number of beer of wine consumed per week in 1984


drinl1985         byte     %8.0g                        number of beer of wine consumed per week in 1985


drinl1986         byte     %8.0g                        number of beer of wine consumed per week in 1986


drinl1987         byte     %8.0g                        number of beer of wine consumed per week in 1987


drinl1988         byte     %8.0g                        number of beer of wine consumed per week in 1988


drinl1989         byte     %8.0g                        number of beer of wine consumed per week in 1989


drinl1990         byte     %8.0g                        number of beer of wine consumed per week in 1990


drinl1991         byte     %8.0g                        number of beer of wine consumed per week in 1991


drinl1992         byte     %8.0g                        number of beer of wine consumed per week in 1992


drinl1993         byte     %8.0g                        number of beer of wine consumed per week in 1993


drinl1994         byte     %8.0g                        number of beer of wine consumed per week in 1994


drinl1995         byte     %8.0g                        number of beer of wine consumed per week in 1995


drinl1996         byte     %8.0g                        number of beer of wine consumed per week in 1996


drinl1997         byte     %8.0g                        number of beer of wine consumed per week in 1997


drinl1998         byte     %8.0g                        number of beer of wine consumed per week in 1998


drinl1999         byte     %8.0g                        number of beer of wine consumed per week in 1999


drinl2000         byte     %8.0g                        number of beer of wine consumed per week in 2000


drinl2001         byte     %8.0g                        number of beer of wine consumed per week in 2001


drinl2002         byte     %8.0g                        number of beer of wine consumed per week in 2002


drinl2003         byte     %8.0g                        number of beer of wine consumed per week in 2003


drinl2004         byte     %8.0g                        number of beer of wine consumed per week in 2004


drinl2005         byte     %8.0g                        number of beer of wine consumed per week in 2005


drinl2006         byte     %8.0g                        number of beer of wine consumed per week in 2006


drinl2007         byte     %8.0g                        number of beer of wine consumed per week in 2007


drinl2008         byte     %8.0g                        number of beer of wine consumed per week in 2008


drinl2009         byte     %8.0g                        number of beer of wine consumed per week in 2009


drinl2010         byte     %8.0g                        number of beer of wine consumed per week in 2010


vodkaq1980        byte     %8.0g                        number of vodaka drinks consumed per week in 1980


vodkaq1981        byte     %8.0g                        number of vodaka drinks consumed per week in 1981


vodkaq1982        byte     %8.0g                        number of vodaka drinks consumed per week in 1982


vodkaq1983        byte     %8.0g                        number of vodaka drinks consumed per week in 1983


vodkaq1984        byte     %8.0g                        number of vodaka drinks consumed per week in 1984


vodkaq1985        byte     %8.0g                        number of vodaka drinks consumed per week in 1985


vodkaq1986        byte     %8.0g                        number of vodaka drinks consumed per week in 1986


vodkaq1987        byte     %8.0g                        number of vodaka drinks consumed per week in 1987


vodkaq1988        byte     %8.0g                        number of vodaka drinks consumed per week in 1988


vodkaq1989        byte     %8.0g                        number of vodaka drinks consumed per week in 1989


vodkaq1990        byte     %8.0g                        number of vodaka drinks consumed per week in 1990


vodkaq1991        byte     %8.0g                        number of vodaka drinks consumed per week in 1991


vodkaq1992        byte     %8.0g                        number of vodaka drinks consumed per week in 1992


vodkaq1993        byte     %8.0g                        number of vodaka drinks consumed per week in 1993


vodkaq1994        byte     %8.0g                        number of vodaka drinks consumed per week in 1994


vodkaq1995        byte     %8.0g                        number of vodaka drinks consumed per week in 1995


vodkaq1996        byte     %8.0g                        number of vodaka drinks consumed per week in 1996


vodkaq1997        byte     %8.0g                        number of vodaka drinks consumed per week in 1997


vodkaq1998        byte     %8.0g                        number of vodaka drinks consumed per week in 1998


vodkaq1999        byte     %8.0g                        number of vodaka drinks consumed per week in 1999


vodkaq2000        byte     %8.0g                        number of vodaka drinks consumed per week in 2000


vodkaq2001        byte     %8.0g                        number of vodaka drinks consumed per week in 2001


vodkaq2002        byte     %8.0g                        number of vodaka drinks consumed per week in 2002


vodkaq2003        byte     %8.0g                        number of vodaka drinks consumed per week in 2003


vodkaq2004        byte     %8.0g                        number of vodaka drinks consumed per week in 2004


vodkaq2005        byte     %8.0g                        number of vodaka drinks consumed per week in 2005


vodkaq2006        byte     %8.0g                        number of vodaka drinks consumed per week in 2006


vodkaq2007        byte     %8.0g                        number of vodaka drinks consumed per week in 2007


vodkaq2008        byte     %8.0g                        number of vodaka drinks consumed per week in 2008


vodkaq2009        byte     %8.0g                        number of vodaka drinks consumed per week in 2009


vodkaq2010        byte     %8.0g                        number of vodaka drinks consumed per week in 2010


painq1980         byte     %8.0g                        number of pain medications per week in 1980


painq1981         byte     %8.0g                        number of pain medications per week in 1981


painq1982         byte     %8.0g                        number of pain medications per week in 1982


painq1983         byte     %8.0g                        number of pain medications per week in 1983


painq1984         byte     %8.0g                        number of pain medications per week in 1984


painq1985         byte     %8.0g                        number of pain medications per week in 1985


painq1986         byte     %8.0g                        number of pain medications per week in 1986


painq1987         byte     %8.0g                        number of pain medications per week in 1987


painq1988         byte     %8.0g                        number of pain medications per week in 1988


painq1989         byte     %8.0g                        number of pain medications per week in 1989


painq1990         byte     %8.0g                        number of pain medications per week in 1990


painq1991         byte     %8.0g                        number of pain medications per week in 1991


painq1992         byte     %8.0g                        number of pain medications per week in 1992


painq1993         byte     %8.0g                        number of pain medications per week in 1993


painq1994         byte     %8.0g                        number of pain medications per week in 1994


painq1995         byte     %8.0g                        number of pain medications per week in 1995


painq1996         byte     %8.0g                        number of pain medications per week in 1996


painq1997         byte     %8.0g                        number of pain medications per week in 1997


painq1998         byte     %8.0g                        number of pain medications per week in 1998


painq1999         byte     %8.0g                        number of pain medications per week in 1999


painq2000         byte     %8.0g                        number of pain medications per week in 2000


painq2001         byte     %8.0g                        number of pain medications per week in 2001


painq2002         byte     %8.0g                        number of pain medications per week in 2002


painq2003         byte     %8.0g                        number of pain medications per week in 2003


painq2004         byte     %8.0g                        number of pain medications per week in 2004


painq2005         byte     %8.0g                        number of pain medications per week in 2005


painq2006         byte     %8.0g                        number of pain medications per week in 2006


painq2007         byte     %8.0g                        number of pain medications per week in 2007


painq2008         byte     %8.0g                        number of pain medications per week in 2008


painq2009         byte     %8.0g                        number of pain medications per week in 2009


painq2010         byte     %8.0g                        number of pain medications per week in 2010


doctn1980         byte     %8.0g                        number of doctor visits for any health reasons in 1980


doctn1981         byte     %8.0g                        number of doctor visits for any health reasons in 1981


doctn1982         byte     %8.0g                        number of doctor visits for any health reasons in 1982


doctn1983         byte     %8.0g                        number of doctor visits for any health reasons in 1983


doctn1984         byte     %8.0g                        number of doctor visits for any health reasons in 1984


doctn1985         byte     %8.0g                        number of doctor visits for any health reasons in 1985


doctn1986         byte     %8.0g                        number of doctor visits for any health reasons in 1986


doctn1987         byte     %8.0g                        number of doctor visits for any health reasons in 1987


doctn1988         byte     %8.0g                        number of doctor visits for any health reasons in 1988


doctn1989         byte     %8.0g                        number of doctor visits for any health reasons in 1989


doctn1990         byte     %8.0g                        number of doctor visits for any health reasons in 1990


doctn1991         byte     %8.0g                        number of doctor visits for any health reasons in 1991


doctn1992         byte     %8.0g                        number of doctor visits for any health reasons in 1992


doctn1993         byte     %8.0g                        number of doctor visits for any health reasons in 1993


doctn1994         byte     %8.0g                        number of doctor visits for any health reasons in 1994


doctn1995         byte     %8.0g                        number of doctor visits for any health reasons in 1995


doctn1996         byte     %8.0g                        number of doctor visits for any health reasons in 1996


doctn1997         byte     %8.0g                        number of doctor visits for any health reasons in 1997


doctn1998         byte     %8.0g                        number of doctor visits for any health reasons in 1998


doctn1999         byte     %8.0g                        number of doctor visits for any health reasons in 1999


doctn2000         byte     %8.0g                        number of doctor visits for any health reasons in 2000


doctn2001         byte     %8.0g                        number of doctor visits for any health reasons in 2001


doctn2002         byte     %8.0g                        number of doctor visits for any health reasons in 2002


doctn2003         byte     %8.0g                        number of doctor visits for any health reasons in 2003


doctn2004         byte     %8.0g                        number of doctor visits for any health reasons in 2004


doctn2005         byte     %8.0g                        number of doctor visits for any health reasons in 2005


doctn2006         byte     %8.0g                        number of doctor visits for any health reasons in 2006


doctn2007         byte     %8.0g                        number of doctor visits for any health reasons in 2007


doctn2008         byte     %8.0g                        number of doctor visits for any health reasons in 2008


doctn2009         byte     %8.0g                        number of doctor visits for any health reasons in 2009


doctn2010         byte     %8.0g                        number of doctor visits for any health reasons in 2010


fampll1980        byte     %8.0g                        percent of influence that radiation had on family planning in 1980


fampll1981        byte     %8.0g                        percent of influence that radiation had on family planning in 1981


fampll1982        byte     %8.0g                        percent of influence that radiation had on family planning in 1982


fampll1983        byte     %8.0g                        percent of influence that radiation had on family planning in 1983


fampll1984        byte     %8.0g                        percent of influence that radiation had on family planning in 1984


fampll1985        byte     %8.0g                        percent of influence that radiation had on family planning in 1985


fampll1986        byte     %8.0g                        percent of influence that radiation had on family planning in 1986


fampll1987        byte     %8.0g                        percent of influence that radiation had on family planning in 1987


fampll1988        byte     %8.0g                        percent of influence that radiation had on family planning in 1988


fampll1989        byte     %8.0g                        percent of influence that radiation had on family planning in 1989


fampll1990        byte     %8.0g                        percent of influence that radiation had on family planning in 1990


fampll1991        byte     %8.0g                        percent of influence that radiation had on family planning in 1991


fampll1992        byte     %8.0g                        percent of influence that radiation had on family planning in 1992


fampll1993        byte     %8.0g                        percent of influence that radiation had on family planning in 1993


fampll1994        byte     %8.0g                        percent of influence that radiation had on family planning in 1994


fampll1995        byte     %8.0g                        percent of influence that radiation had on family planning in 1995


fampll1996        byte     %8.0g                        percent of influence that radiation had on family planning in 1996


fampll1997        byte     %8.0g                        percent of influence that radiation had on family planning in 1997


fampll1998        byte     %8.0g                        percent of influence that radiation had on family planning in 1998


fampll1999        byte     %8.0g                        percent of influence that radiation had on family planning in 1999


fampll2000        byte     %8.0g                        percent of influence that radiation had on family planning in 2000


fampll2001        byte     %8.0g                        percent of influence that radiation had on family planning in 2001


fampll2002        byte     %8.0g                        percent of influence that radiation had on family planning in 2002


fampll2003        byte     %8.0g                        percent of influence that radiation had on family planning in 2003


fampll2004        byte     %8.0g                        percent of influence that radiation had on family planning in 2004


fampll2005        byte     %8.0g                        percent of influence that radiation had on family planning in 2005


fampll2006        byte     %8.0g                        percent of influence that radiation had on family planning in 2006


fampll2007        byte     %8.0g                        percent of influence that radiation had on family planning in 2007


fampll2008        byte     %8.0g                        percent of influence that radiation had on family planning in 2008


fampll2009        byte     %8.0g                        percent of influence that radiation had on family planning in 2009


fampll2010        byte     %8.0g                        percent of influence that radiation had on family planning in 2010


sett1r1           str23    %23s                     *   town of residence 1 time: april 26 - june 30 1986


sett1r2           str32    %32s                     *   town of residence 2 time: april 26 - june 30 1986


sett1r3           str32    %32s                     *   town of residence 3 time: april 26 - june 30 1986


sett1r4           str32    %32s                     *   town of residence 4 time: april 26 - june 30 1986


rait1r1           str23    %23s                     *   raion of residence 1 time: april 26 - june 30 1986


rait1r2           str32    %32s                     *   raion of residence 2 time: april 26 - june 30 1986


rait1r3           str32    %32s                     *   raion of residence 3 time: april 26 - june 30 1986


rait1r4           str32    %32s                     *   raion of residence 4 time: april 26 - june 30 1986


latdt1r1          byte     %10.0g                   *   latitude in degrees residence 1 time 1 april 26-june 30 1986


latdt1r2          byte     %10.0g                   *   latitude in degrees residence 2 time 1 april 26-june 30 1986


latdt1r3          byte     %10.0g                   *   latitude in degrees residence 3 time 1 april 26-june 30 1986


latdt1r4          byte     %10.0g                   *   latitude in degrees residence 4 time 1 april 26-june 30 1986


londt1r1          int      %10.0g                   *   longitude in degrees residence 1 time 1 april 26-june 30 1986


londt1r2          int      %10.0g                   *   longitude in degrees residence 2 time 1 april 26-june 30 1986


londt1r3          byte     %10.0g                   *   longitude in degrees residence 3 time 1 april 26-june 30 1986


londt1r4          byte     %10.0g                   *   longitude in degrees residence 4 time 1 april 26-june 30 1986


latmt1r1          byte     %10.0g                   *   latitude in minutes residence 1 time 1 april 26-june 30 1986


latmt1r2          int      %10.0g                   *   latitude in minutes residence 2 time 1 april 26-june 30 1986


latmt1r3          byte     %10.0g                   *   latitude in minutes residence 3 time 1 april 26-june 30 1986


latmt1r4          byte     %10.0g                   *   latitude in minutes residence 4 time 1 april 26-june 30 1986


lonmt1r1          byte     %10.0g                   *   longitude in minutes residence 1 time 1 april 26-june 30 1986


lonmt1r2          int      %10.0g                   *   longitude in minutes residence 2 time 1 april 26-june 30 1986


lonmt1r3          byte     %10.0g                   *   longitude in minutes residence 3 time 1 april 26-june 30 1986


lonmt1r4          byte     %10.0g                   *   longitude in minutes residence 4 time 1 april 26-june 30 1986


dayt1r1           int      %10.0g                   *   days in residence 1 time 1 april 26-june 30 1986


dayt1r2           byte     %10.0g                   *   days in residence 2 time 1 april 26-june 30 1986


dayt1r3           byte     %10.0g                   *   days in residence 3 time 1 april 26-june 30 1986


dayt1r4           byte     %10.0g                   *   days in residence 4 time 1 april 26-june 30 1986


oblt1r1           byte     %31.0g        LABG       *   oblast of residence 1 time 1 april 26-june 30 1986


oblt1r2           byte     %31.0g        LABG       *   oblast of residence 2 time 1 april 26-june 30 1986


oblt1r3           byte     %31.0g        LABG       *   oblast of residence 3 time 1 april 26-june 30 1986


oblt1r4           byte     %31.0g        LABG       *   oblast of residence 4 time 1 april 26-june 30 1986


latt1r1           byte     %15.0g        LABF       *   latitude direction residence 1 time 1 april 26-june 30 1986


latt1r2           byte     %15.0g        LABF       *   latitude direction residence 2 time 1 april 26-june 30 1986


latt1r3           byte     %15.0g        LABF       *   latitude direction residence 3 time 1 april 26-june 30 1986


latt1r4           byte     %15.0g        LABF       *   latitude direction residence 4 time 1 april 26-june 30 1986


lont1r1           byte     %10.0g        lon        *   longitude direction residence 1 time 1 april 26-june 30 1986


lont1r2           byte     %10.0g        lon        *   longitude direction residence 2 time 1 april 26-june 30 1986


lont1r3           byte     %10.0g        lon        *   longitude direction residence 3 time 1 april 26-june 30 1986


lont1r4           byte     %10.0g        lon        *   longitude direction residence 4 time 1 april 26-june 30 1986


typet1r1          byte     %23.0g        LABL       *   type of residence 1 time 1 april 26-june 30 1986


typet1r2          byte     %23.0g        LABL       *   type of residence 2 time 1 april 26-june 30 1986


typet1r3          byte     %23.0g        LABL       *   type of residence 3 time 1 april 26-june 30 1986


typet1r4          byte     %23.0g        LABL       *   type of residence 4 time 1 april 26-june 30 1986


occt1r1           byte     %22.0g        LABM       *   occupation while in residence 1 time 1 april 26-june 30 1986


occt1r2           byte     %22.0g        LABM       *   occupation while in residence 2 time 1 april 26-june 30 1986


occt1r3           byte     %22.0g        LABM       *   occupation while in residence 3 time 1 april 26-june 30 1986


occt1r4           byte     %22.0g        LABM       *   occupation while in residence 1 time 1 april 26-june 30 1986


ldrt1r1           byte     %15.0g        LABC       *   did you consume liquid dairy products while in residence 1 time 1


ldrt1r2           byte     %15.0g        LABC       *   did you consume liquid dairy products while in residence 2 time 1


ldrt1r3           byte     %15.0g        LABC       *   did you consume liquid dairy products while in residence 3 time 1


ldrt1r4           byte     %15.0g        LABC       *   did you consume liquid dairy products while in residence 4 time 1


sldrt1r1          byte     %20.0g        LABN       *   source of liquid dairy products while in residence 1 time 1


sldrt1r2          byte     %20.0g        LABN       *   source of liquid dairy products while in residence 2 time 1


sldrt1r3          byte     %20.0g        LABN       *   source of liquid dairy products while in residence 3 time 1


sldrt1r4          byte     %20.0g        LABN       *   source of liquid dairy products while in residence 4 time 1


mlldt1r1          long     %8.0g                    *   quantity of liquid dairy products (in ml) while in residence 1 time 1


mlldt1r2          int      %8.0g                    *   quantity of liquid dairy products (in ml) while in residence 2 time 1


mlldt1r3          int      %8.0g                    *   quantity of liquid dairy products (in ml) while in residence 3 time 1


mlldt1r4          int      %8.0g                    *   quantity of liquid dairy products (in ml) while in residence 4 time 1


sdrt1r1           byte     %15.0g        LABC       *   did you consume solid dairy products while in residence 1 time 1


sdrt1r2           byte     %15.0g        LABC       *   did you consume solid dairy products while in residence 2 time 1


sdrt1r3           byte     %15.0g        LABC       *   did you consume solid dairy products while in residence 3 time 1


sdrt1r4           byte     %15.0g        LABC       *   did you consume solid dairy products while in residence 4 time 1


ssdrt1r1          byte     %20.0g        LABN       *   sourse of solid dairy products in residence 1 time 1


ssdrt1r2          byte     %20.0g        LABN       *   sourse of solid dairy products in residence 2 time 1


ssdrt1r3          byte     %20.0g        LABN       *   sourse of solid dairy products in residence 3 time 1


ssdrt1r4          byte     %20.0g        LABN       *   sourse of solid dairy products in residence 4 time 1


gldt1r1           long     %8.0g                    *   quantity of solid dairy products (in grams) while in residence 1 time 1


gldt1r2           long     %8.0g                    *   quantity of solid dairy products (in grams) while in residence 2 time 1


gldt1r3           int      %8.0g                    *   quantity of solid dairy products (in grams) while in residence 3 time 1


gldt1r4           int      %8.0g                    *   quantity of solid dairy products (in grams) while in residence 4 time 1


lvt1r1            byte     %15.0g        LABC       *   did you consume leafy vegetables while in residence 1 time 1


lvt1r2            byte     %15.0g        LABC       *   did you consume leafy vegetables while in residence 2 time 1


lvt1r3            byte     %15.0g        LABC       *   did you consume leafy vegetables while in residence 3 time 1


lvt1r4            byte     %15.0g        LABC       *   did you consume leafy vegetables while in residence 4 time 1


slvt1r1           byte     %20.0g        LABN       *   source of leafy vegetables while in residence 1 time 1


slvt1r2           byte     %20.0g        LABN       *   source of leafy vegetables while in residence 2 time 1


slvt1r3           byte     %20.0g        LABN       *   source of leafy vegetables while in residence 3 time 1


slvt1r4           byte     %20.0g        LABN       *   source of leafy vegetables while in residence 4 time 1


glvt1r1           int      %8.0g                    *   quantity of leafy vegetables (in grams) while in residence 1 time 1


glvt1r2           int      %8.0g                    *   quantity of leafy vegetables (in grams) while in residence 2 time 1


glvt1r3           int      %8.0g                    *   quantity of leafy vegetables (in grams) while in residence 3 time 1


glvt1r4           int      %8.0g                    *   quantity of leafy vegetables (in grams) while in residence 4 time 1


sett2r1           str23    %23s                     *   town of residence 1 time2: july 1- december 31 1986


sett2r2           str32    %32s                     *   town of residence 2 time2: july 1- december 31 1986


sett2r3           str32    %32s                     *   town of residence 3 time2: july 1- december 31 1986


sett2r4           str32    %32s                     *   town of residence 4 time2: july 1- december 31 1986


rait2r1           str23    %23s                     *   raion of residence 1 time2: july 1- december 31 1986


rait2r2           str32    %32s                     *   raion of residence 2 time2: july 1- december 31 1986


rait2r3           str32    %32s                     *   raion of residence 3 time2: july 1- december 31 1986


rait2r4           str32    %32s                     *   raion of residence 4 time2: july 1- december 31 1986


latdt2r1          byte     %8.0g                    *   latitude in degrees residence 1 time 2:  july 1-december 31 1986


latdt2r2          byte     %8.0g                    *   latitude in degrees residence 2 time 2:  july 1-december 31 1986


latdt2r3          byte     %8.0g                    *   latitude in degrees residence 3 time 2:  july 1-december 31 1986


latdt2r4          byte     %8.0g                    *   latitude in degrees residence 4 time 2:  july 1-december 31 1986


londt2r1          byte     %8.0g                    *   longitude in degrees residence 1 time 2:  july 1-december 31 1986


londt2r2          byte     %8.0g                    *   longitude in degrees residence 2 time 2:  july 1-december 31 1986


londt2r3          byte     %8.0g                    *   longitude in degrees residence 3 time 2:  july 1-december 31 1986


londt2r4          byte     %8.0g                    *   longitude in degrees residence 4 time 2:  july 1-december 31 1986


latmt2r1          byte     %8.0g                    *   latitude in minutes residence 1 time 2:  july 1-december 31 1986


latmt2r2          byte     %8.0g                    *   latitude in minutes residence 2 time 2:  july 1-december 31 1986


latmt2r3          byte     %8.0g                    *   latitude in minutes residence 3 time 2:  july 1-december 31 1986


latmt2r4          byte     %8.0g                    *   latitude in minutes residence 4 time 2:  july 1-december 31 1986


lonmt2r1          byte     %8.0g                    *   longitude in minutes residence 1 time 2:  july 1-december 31 1986


lonmt2r2          byte     %8.0g                    *   longitude in minutes residence 2 time 2:  july 1-december 31 1986


lonmt2r3          byte     %8.0g                    *   longitude in minutes residence 3 time 2:  july 1-december 31 1986


lonmt2r4          byte     %8.0g                    *   longitude in minutes residence 4 time 2:  july 1-december 31 1986


dayt2r1           int      %10.0g                   *   days in residence 1 time 2: from july 1 -december 31 1986


dayt2r2           int      %10.0g                   *   days in residence 2 time 2: from july 1 -december 31 1986


dayt2r3           int      %10.0g                   *   days in residence 3 time 2: from july 1 -december 31 1986


dayt2r4           int      %10.0g                   *   days in residence 4 time 2: from july 1 -december 31 1986


oblt2r1           byte     %31.0g        LABG       *   oblast of residence 1 time 2:  july 1-december 31 1986


oblt2r2           byte     %31.0g        LABG       *   oblast of residence 2 time 2:  july 1-december 31 1986


oblt2r3           byte     %31.0g        LABG       *   oblast of residence 3 time 2:  july 1-december 31 1986


oblt2r4           byte     %31.0g        LABG       *   oblast of residence 4 time 2:  july 1-december 31 1986


latt2r1           byte     %15.0g        LABF       *   latitude direction of residence 1 time 2:  july 1-december 31 1986


latt2r2           byte     %15.0g        LABF       *   latitude direction of residence 2 time 2:  july 1-december 31 1986


latt2r3           byte     %15.0g        LABF       *   latitude direction of residence 3 time 2:  july 1-december 31 1986


latt2r4           byte     %15.0g        LABF       *   latitude direction of residence 4 time 2:  july 1-december 31 1986


lont2r1           byte     %10.0g        lon        *   longitude direction of residence 1 time 2:  july 1-december 31 1986


lont2r2           byte     %10.0g        lon        *   longitude direction of residence 2 time 2:  july 1-december 31 1986


lont2r3           byte     %10.0g        lon        *   longitude direction of residence 3 time 2:  july 1-december 31 1986


lont2r4           byte     %10.0g        lon        *   longitude direction of residence 4 time 2:  july 1-december 31 1986


typet2r1          byte     %23.0g        LABL       *   type of residence 1 time 2:  july 1-december 31 1986


typet2r2          byte     %23.0g        LABL       *   type of residence 2 time 2:  july 1-december 31 1986


typet2r3          byte     %23.0g        LABL       *   type of residence 3 time 2:  july 1-december 31 1986


typet2r4          byte     %23.0g        LABL       *   type of residence 4 time 2:  july 1-december 31 1986


occt2r1           byte     %22.0g        LABM       *   occupation when in residence 1 time 2:  july 1-december 31 1986


occt2r2           byte     %22.0g        LABM       *   occupation when in residence 2 time 2:  july 1-december 31 1986


occt2r3           byte     %22.0g        LABM       *   occupation when in residence 3 time 2:  july 1-december 31 1986


occt2r4           byte     %22.0g        LABM       *   occupation when in residence 4 time 2:  july 1-december 31 1986


ldrt2r1           byte     %15.0g        LABC       *   did you consume liquid dairy in residence 1 time 2:  july 1-december 31 1986


ldrt2r2           byte     %15.0g        LABC       *   did you consume liquid dairy in residence 2 time 2:  july 1-december 31 1986


ldrt2r3           byte     %15.0g        LABC       *   did you consume liquid dairy in residence 3 time 2:  july 1-december 31 1986


ldrt2r4           byte     %15.0g        LABC       *   did you consume liquid dairy in residence 4 time 2:  july 1-december 31 1986


sldrt2r1          byte     %20.0g        LABN       *   source of liquid dairy residence 1 time 2:  july 1-december 31 1986


sldrt2r2          byte     %20.0g        LABN       *   source of liquid dairy residence 2 time 2:  july 1-december 31 1986


sldrt2r3          byte     %20.0g        LABN       *   source of liquid dairy residence 3 time 2:  july 1-december 31 1986


sldrt2r4          byte     %20.0g        LABN       *   source of liquid dairy residence 4 time 2:  july 1-december 31 1986


mlldt2r1          int      %8.0g                    *   quantity liquid dairy (in ml) residence 1 time 2:  july 1-december 31 1986


mlldt2r2          int      %8.0g                    *   quantity liquid dairy (in ml) residence 2 time 2:  july 1-december 31 1986


mlldt2r3          int      %8.0g                    *   quantity liquid dairy (in ml) residence 3 time 2:  july 1-december 31 1986


mlldt2r4          int      %8.0g                    *   quantity liquid dairy (in ml) residence 4 time 2:  july 1-december 31 1986


sdrt2r1           byte     %15.0g        LABC       *   did you consume solid dairy in residence 1 time 2:  july 1-december 31 1986


sdrt2r2           byte     %15.0g        LABC       *   did you consume solid dairy in residence 2 time 2:  july 1-december 31 1986


sdrt2r3           byte     %15.0g        LABC       *   did you consume solid dairy in residence 3 time 2:  july 1-december 31 1986


sdrt2r4           byte     %15.0g        LABC       *   did you consume solid dairy in residence 4 time 2:  july 1-december 31 1986


ssdrt2r1          byte     %20.0g        LABN       *   source of solid dairy in residence 1 time 2:  july 1-december 31 1986


ssdrt2r2          byte     %20.0g        LABN       *   source of solid dairy in residence 2 time 2:  july 1-december 31 1986


ssdrt2r3          byte     %20.0g        LABN       *   source of solid dairy in residence 3 time 2:  july 1-december 31 1986


ssdrt2r4          byte     %20.0g        LABN       *   source of solid dairy in residence 4 time 2:  july 1-december 31 1986


gldt2r1           long     %8.0g                    *   quantity solid dairy (in grams) residence 1 time 2:  july 1-december 31 1986


gldt2r2           long     %8.0g                    *   quantity solid dairy (in grams) residence 2 time 2:  july 1-december 31 1986


gldt2r3           int      %8.0g                    *   quantity solid dairy (in grams) residence 3 time 2:  july 1-december 31 1986


gldt2r4           int      %8.0g                    *   quantity solid dairy (in grams) residence 4 time 2:  july 1-december 31 1986


pott2r1           byte     %15.0g        LABC           did you consume potatoes  in residence 1 time 2:  july 1-december 31 1986


pott2r2           byte     %15.0g        LABC           did you consume potatoes  in residence 2 time 2:  july 1-december 31 1986


pott2r3           byte     %15.0g        LABC           did you consume potatoes  in residence 3 time 2:  july 1-december 31 1986


pott2r4           byte     %15.0g        LABC           did you consume potatoes  in residence 4 time 2:  july 1-december 31 1986


spott2r1          byte     %20.0g        LABN           source of potatoes  in residence 1 time 2:  july 1-december 31 1986


spott2r2          byte     %20.0g        LABN           source of potatoes  in residence 2 time 2:  july 1-december 31 1986


spott2r3          byte     %20.0g        LABN           source of potatoes  in residence 3 time 2:  july 1-december 31 1986


spott2r4          byte     %20.0g        LABN           source of potatoes  in residence 4 time 2:  july 1-december 31 1986


gpott2r1          long     %8.0g                    *   quantity of potatoes (in grams) in residence 1 time 2:  july 1-december 31 1986


gpott2r2          long     %8.0g                    *   quantity of potatoes (in grams) in residence 2 time 2:  july 1-december 31 1986


gpott2r3          int      %8.0g                    *   quantity of potatoes (in grams) in residence 3 time 2:  july 1-december 31 1986


gpott2r4          int      %8.0g                    *   quantity of potatoes (in grams) in residence 4 time 2:  july 1-december 31 1986


prkt2r1           byte     %15.0g        LABC           did you consume pork  in residence 1 time 2:  july 1-december 31 1986


prkt2r2           byte     %15.0g        LABC           did you consume pork  in residence 2 time 2:  july 1-december 31 1986


prkt2r3           byte     %15.0g        LABC           did you consume pork  in residence 3 time 2:  july 1-december 31 1986


prkt2r4           byte     %15.0g        LABC           did you consume pork  in residence 4 time 2:  july 1-december 31 1986


sprkt2r1          byte     %20.0g        LABN           source of pork  in residence 1 time 2:  july 1-december 31 1986


sprkt2r2          byte     %20.0g        LABN           source of pork  in residence 2 time 2:  july 1-december 31 1986


sprkt2r3          byte     %20.0g        LABN           source of pork  in residence 3 time 2:  july 1-december 31 1986


sprkt2r4          byte     %20.0g        LABN           source of pork  in residence 4 time 2:  july 1-december 31 1986


gprkt2r1          int      %8.0g                    *   quantity of pork (in grams) residence 1 time 2:  july 1-december 31 1986


gprkt2r2          int      %8.0g                    *   quantity of pork (in grams) residence 2 time 2:  july 1-december 31 1986


gprkt2r3          int      %8.0g                    *   quantity of pork (in grams) residence 3 time 2:  july 1-december 31 1986


gprkt2r4          int      %8.0g                    *   quantity of pork (in grams) residence 4 time 2:  july 1-december 31 1986


beft2r1           byte     %15.0g        LABC           did you consume beef  in residence 1 time 2:  july 1-december 31 1986


beft2r2           byte     %15.0g        LABC           did you consume beef  in residence 2 time 2:  july 1-december 31 1986


beft2r3           byte     %15.0g        LABC           did you consume beef  in residence 3 time 2:  july 1-december 31 1986


beft2r4           byte     %15.0g        LABC           did you consume beef  in residence 4 time 2:  july 1-december 31 1986


sbeft2r1          byte     %20.0g        LABN           source of beef  in residence 1 time 2:  july 1-december 31 1986


sbeft2r2          byte     %20.0g        LABN           source of beef  in residence 2 time 2:  july 1-december 31 1986


sbeft2r3          byte     %20.0g        LABN           source of beef  in residence 3 time 2:  july 1-december 31 1986


sbeft2r4          byte     %20.0g        LABN           source of beef  in residence 4 time 2:  july 1-december 31 1986


gbeft2r1          int      %8.0g                    *   quantity of beef (in grams)  residence 1 time 2:  july 1-december 31 1986


gbeft2r2          int      %8.0g                    *   quantity of beef (in grams)  residence 2 time 2:  july 1-december 31 1986


gbeft2r3          int      %8.0g                    *   quantity of beef (in grams)  residence 3 time 2:  july 1-december 31 1986


gbeft2r4          int      %8.0g                    *   quantity of beef (in grams)  residence 4 time 2:  july 1-december 31 1986


pltt2r1           byte     %15.0g        LABC           did you consume poultry  in residence 1 time 2:  july 1-december 31 1986


pltt2r2           byte     %15.0g        LABC           did you consume poultry  in residence 2 time 2:  july 1-december 31 1986


pltt2r3           byte     %15.0g        LABC           did you consume poultry  in residence 3 time 2:  july 1-december 31 1986


pltt2r4           byte     %15.0g        LABC           did you consume poultry  in residence 4 time 2:  july 1-december 31 1986


spltt2r1          byte     %20.0g        LABN           source of poultry  in residence 1 time 2:  july 1-december 31 1986


spltt2r2          byte     %20.0g        LABN           source of poultry  in residence 2 time 2:  july 1-december 31 1986


spltt2r3          byte     %20.0g        LABN           source of poultry  in residence 3 time 2:  july 1-december 31 1986


spltt2r4          byte     %20.0g        LABN           source of poultry  in residence 4 time 2:  july 1-december 31 1986


gpltt2r1          int      %8.0g                    *   quantity of poultry (in grams) in residence 1 time 2:  july 1-december 31 1986


gpltt2r2          int      %8.0g                    *   quantity of poultry (in grams) in residence 2 time 2:  july 1-december 31 1986


gpltt2r3          int      %8.0g                    *   quantity of poultry (in grams) in residence 3 time 2:  july 1-december 31 1986


gpltt2r4          int      %8.0g                    *   quantity of poultry (in grams) in residence 4 time 2:  july 1-december 31 1986


msht2r1           byte     %15.0g        LABC           did you consume mushrooms  in residence 1 time 2:  july 1-december 31 1986


msht2r2           byte     %15.0g        LABC           did you consume mushrooms  in residence 2 time 2:  july 1-december 31 1986


msht2r3           byte     %15.0g        LABC           did you consume mushrooms  in residence 3 time 2:  july 1-december 31 1986


msht2r4           byte     %15.0g        LABC           did you consume mushrooms  in residence 4 time 2:  july 1-december 31 1986


smsht2r1          byte     %20.0g        LABN           source of mushrooms in residence 1 time 2:  july 1-december 31 1986


smsht2r2          byte     %20.0g        LABN           source of mushrooms in residence 2 time 2:  july 1-december 31 1986


smsht2r3          byte     %20.0g        LABN           source of mushrooms in residence 3 time 2:  july 1-december 31 1986


smsht2r4          byte     %20.0g        LABN           source of mushrooms in residence 4 time 2:  july 1-december 31 1986


gmsht2r1          int      %8.0g                    *   quantity of mushr (in grams) per week residence 1 time 2:  july1-december 31


gmsht2r2          int      %8.0g                    *   quantity of mushr (in grams) per week residence 2 time 2:  july1-december 31


gmsht2r3          int      %8.0g                    *   quantity of mushr (in grams) per week residence 3 time 2:  july1-december 31


gmsht2r4          byte     %8.0g                    *   quantity of mushr (in grams) per week residence 4 time 2:  july1-december 31


sett3r1           str23    %23s                     *   town of residence 1 time 3: jan 1987 - dec 1990


sett3r2           str32    %32s                     *   town of residence 2 time 3: jan 1987 - dec 1990


sett3r3           str32    %32s                     *   town of residence 3 time 3: jan 1987 - dec 1990


sett3r4           str32    %32s                     *   town of residence 4 time 3: jan 1987 - dec 1990


rait3r1           str23    %23s                     *   raion of residence 1 time 3: jan 1987 - dec 1990


rait3r2           str32    %32s                     *   raion of residence 2 time 3: jan 1987 - dec 1990


rait3r3           str32    %32s                     *   raion of residence 3 time 3: jan 1987 - dec 1990


rait3r4           str32    %32s                     *   raion of residence 4 time 3: jan 1987 - dec 1990


latdt3r1          byte     %8.0g                    *   latitude in degrees residence 1 time 3: jan 1987 - dec 1990


latdt3r2          byte     %8.0g                    *   latitude in degrees residence 2 time 3: jan 1987 - dec 1990


latdt3r3          byte     %8.0g                    *   latitude in degrees residence 3 time 3: jan 1987 - dec 1990


latdt3r4          byte     %8.0g                    *   latitude in degrees residence 4 time 3: jan 1987 - dec 1990


londt3r1          int      %8.0g                    *   longitude in degrees residence 1 time 3: jan 1987 - dec 1990


londt3r2          int      %8.0g                    *   longitude in degrees residence 2 time 3: jan 1987 - dec 1990


londt3r3          int      %8.0g                    *   longitude in degrees residence 3 time 3: jan 1987 - dec 1990


londt3r4          byte     %8.0g                    *   longitude in degrees residence 4 time 3: jan 1987 - dec 1990


latmt3r1          byte     %8.0g                    *   latitude in minutes residence 1 time 3: jan 1987 - dec 1990


latmt3r2          byte     %8.0g                    *   latitude in minutes residence 2 time 3: jan 1987 - dec 1990


latmt3r3          byte     %8.0g                    *   latitude in minutes residence 3 time 3: jan 1987 - dec 1990


latmt3r4          byte     %8.0g                    *   latitude in minutes residence 4 time 3: jan 1987 - dec 1990


lonmt3r1          byte     %8.0g                    *   longitude in minutes residence 1 time 3: jan 1987 - dec 1990


lonmt3r2          byte     %8.0g                    *   longitude in minutes residence 2 time 3: jan 1987 - dec 1990


lonmt3r3          byte     %8.0g                    *   longitude in minutes residence 3 time 3: jan 1987 - dec 1990


lonmt3r4          byte     %8.0g                    *   longitude in minutes residence 4 time 3: jan 1987 - dec 1990


mntht3r1          byte     %10.0g                   *   how long did you stay in residence 1 time 3: jan 1987 - dec 1990


mntht3r2          byte     %10.0g                   *   how long did you stay in residence 2 time 3: jan 1987 - dec 1990


mntht3r3          byte     %10.0g                   *   how long did you stay in residence 3 time 3: jan 1987 - dec 1990


mntht3r4          byte     %10.0g                   *   how long did you stay in residence 4 time 3: jan 1987 - dec 1990


oblt3r1           byte     %31.0g        LABG       *   oblast of residence 1 time 3: jan 1987 - dec 1990


oblt3r2           byte     %31.0g        LABG       *   oblast of residence 2 time 3: jan 1987 - dec 1990


oblt3r3           byte     %31.0g        LABG       *   oblast of residence 3 time 3: jan 1987 - dec 1990


oblt3r4           byte     %31.0g        LABG       *   oblast of residence 4 time 3: jan 1987 - dec 1990


latt3r1           byte     %15.0g        LABF       *   latitude direction of residence 1 time 3: jan 1987 - dec 1990


latt3r2           byte     %15.0g        LABF       *   latitude direction of residence 2 time 3: jan 1987 - dec 1990


latt3r3           byte     %15.0g        LABF       *   latitude direction of residence 3 time 3: jan 1987 - dec 1990


latt3r4           byte     %15.0g        LABF       *   latitude direction of residence 4 time 3: jan 1987 - dec 1990


lont3r1           byte     %10.0g        lon        *   longitude direction of residence 1 time 3: jan 1987 - dec 1990


lont3r2           byte     %10.0g        lon        *   longitude direction of residence 2 time 3: jan 1987 - dec 1990


lont3r3           byte     %10.0g        lon        *   longitude direction of residence 3 time 3: jan 1987 - dec 1990


lont3r4           byte     %10.0g        lon        *   longitude direction of residence 4 time 3: jan 1987 - dec 1990


typet3r1          byte     %23.0g        LABL           type of residence 1 time 3: jan 1987 - dec 1990


typet3r2          byte     %23.0g        LABL           type of residence 2 time 3: jan 1987 - dec 1990


typet3r3          byte     %23.0g        LABL           type of residence 3 time 3: jan 1987 - dec 1990


typet3r4          byte     %23.0g        LABL           type of residence 4 time 3: jan 1987 - dec 1990


occt3r1           byte     %22.0g        LABO           occupation while in  residence 1 time 3: jan 1987 - dec 1990


occt3r2           byte     %22.0g        LABO           occupation while in  residence 2 time 3: jan 1987 - dec 1990


occt3r3           byte     %22.0g        LABO           occupation while in  residence 3 time 3: jan 1987 - dec 1990


occt3r4           byte     %22.0g        LABO           occupation while in  residence 4 time 3: jan 1987 - dec 1990


ldrt3r1           byte     %15.0g        LABC       *   did you consume liquid dairy in residence 1 time 3: jan 1987 - dec 1990


ldrt3r2           byte     %15.0g        LABC       *   did you consume liquid dairy in residence 2 time 3: jan 1987 - dec 1990


ldrt3r3           byte     %15.0g        LABC       *   did you consume liquid dairy in residence 3 time 3: jan 1987 - dec 1990


ldrt3r4           byte     %15.0g        LABC       *   did you consume liquid dairy in residence 4 time 3: jan 1987 - dec 1990


sldrt3r1          byte     %20.0g        LABN       *   source of liquid dairy  in residence 1 time 3: jan 1987 - dec 1990


sldrt3r2          byte     %20.0g        LABN       *   source of liquid dairy  in residence 2 time 3: jan 1987 - dec 1990


sldrt3r3          byte     %20.0g        LABN       *   source of liquid dairy  in residence 3 time 3: jan 1987 - dec 1990


sldrt3r4          byte     %20.0g        LABN       *   source of liquid dairy  in residence 4 time 3: jan 1987 - dec 1990


mlldt3r1          int      %8.0g                    *   quantity (in ml) of liquid dairy per week  residence 1 time 3: jan 1987 - dec90


mlldt3r2          int      %8.0g                    *   quantity (in ml) of liquid dairy per week  residence 2 time 3: jan 1987 - dec90


mlldt3r3          int      %8.0g                    *   quantity (in ml) of liquid dairy per week  residence 3 time 3: jan 1987 - dec90


mlldt3r4          int      %8.0g                    *   quantity (in ml) of liquid dairy per week  residence 4 time 3: jan 1987 - dec90


sdrt3r1           byte     %15.0g        LABC       *   did you consume solid dairy in residence 1 time 3: jan 1987 - dec 1990


sdrt3r2           byte     %15.0g        LABC       *   did you consume solid dairy in residence 2 time 3: jan 1987 - dec 1990


sdrt3r3           byte     %15.0g        LABC       *   did you consume solid dairy in residence 3 time 3: jan 1987 - dec 1990


sdrt3r4           byte     %15.0g        LABC       *   did you consume solid dairy in residence 4 time 3: jan 1987 - dec 1990


ssdrt3r1          byte     %20.0g        LABN       *   source of solid dairy in residence 1 time 3: jan 1987 - dec 1990


ssdrt3r2          byte     %20.0g        LABN       *   source of solid dairy in residence 2 time 3: jan 1987 - dec 1990


ssdrt3r3          byte     %20.0g        LABN       *   source of solid dairy in residence 3 time 3: jan 1987 - dec 1990


ssdrt3r4          byte     %20.0g        LABN       *   source of solid dairy in residence 4 time 3: jan 1987 - dec 1990


gldt3r1           int      %8.0g                    *   quantity (in grams) of solid dairy per week res 1 time 3: jan 1987 - dec 1990


gldt3r2           int      %8.0g                    *   quantity (in grams) of solid dairy per week res 2 time 3: jan 1987 - dec 1990


gldt3r3           int      %8.0g                    *   quantity (in grams) of solid dairy per week res 3 time 3: jan 1987 - dec 1990


gldt3r4           byte     %8.0g                    *   quantity (in grams) of solid dairy per week res 4 time 3: jan 1987 - dec 1990


pott3r1           byte     %15.0g        LABC       *   did you consume potatoes in residence 1 time 3: jan 1987 - dec 1990


pott3r2           byte     %15.0g        LABC       *   did you consume potatoes in residence 2 time 3: jan 1987 - dec 1990


pott3r3           byte     %15.0g        LABC       *   did you consume potatoes in residence 3 time 3: jan 1987 - dec 1990


pott3r4           byte     %15.0g        LABC       *   did you consume potatoes in residence 4 time 3: jan 1987 - dec 1990


spott3r1          byte     %20.0g        LABN           source of potatoes in residence 1 time 3: jan 1987 - dec 1990


spott3r2          byte     %20.0g        LABN           source of potatoes in residence 2 time 3: jan 1987 - dec 1990


spott3r3          byte     %20.0g        LABN           source of potatoes in residence 3 time 3: jan 1987 - dec 1990


spott3r4          byte     %20.0g        LABN           source of potatoes in residence 4 time 3: jan 1987 - dec 1990


gpott3r1          int      %8.0g                    *   quantity (in grams) of potatoes per week residence 1 time 3: jan 1987 - dec 1990


gpott3r2          int      %8.0g                    *   quantity (in grams) of potatoes per week residence 2 time 3: jan 1987 - dec 1990


gpott3r3          int      %8.0g                    *   quantity (in grams) of potatoes per week residence 3 time 3: jan 1987 - dec 1990


gpott3r4          int      %8.0g                    *   quantity (in grams) of potatoes per week residence 4 time 3: jan 1987 - dec 1990


prkt3r1           byte     %15.0g        LABC           did you consume pork in residence 1 time 3: jan 1987 - dec 1990


prkt3r2           byte     %15.0g        LABC           did you consume pork in residence 2 time 3: jan 1987 - dec 1990


prkt3r3           byte     %15.0g        LABC           did you consume pork in residence 3 time 3: jan 1987 - dec 1990


prkt3r4           byte     %15.0g        LABC           did you consume pork in residence 4 time 3: jan 1987 - dec 1990


sprkt3r1          byte     %20.0g        LABN           source of pork in residence 1 time 3: jan 1987 - dec 1990


sprkt3r2          byte     %20.0g        LABN           source of pork in residence 2 time 3: jan 1987 - dec 1990


sprkt3r3          byte     %20.0g        LABN           source of pork in residence 3 time 3: jan 1987 - dec 1990


sprkt3r4          byte     %20.0g        LABN           source of pork in residence 4 time 3: jan 1987 - dec 1990


gprkt3r1          long     %8.0g                    *   quantity (in grams) of pork per week residence 1 time 3: jan 1987 - dec 1990


gprkt3r2          long     %8.0g                    *   quantity (in grams) of pork per week residence 2 time 3: jan 1987 - dec 1990


gprkt3r3          long     %8.0g                    *   quantity (in grams) of pork per week residence 3 time 3: jan 1987 - dec 1990


gprkt3r4          int      %8.0g                    *   quantity (in grams) of pork per week residence 4 time 3: jan 1987 - dec 1990


beft3r1           byte     %15.0g        LABC           did you consume beef in residence 1 time 3: jan 1987 - dec 1990


beft3r2           byte     %15.0g        LABC           did you consume beef in residence 2 time 3: jan 1987 - dec 1990


beft3r3           byte     %15.0g        LABC           did you consume beef in residence 3 time 3: jan 1987 - dec 1990


beft3r4           byte     %15.0g        LABC           did you consume beef in residence 4 time 3: jan 1987 - dec 1990


sbeft3r1          byte     %20.0g        LABN           source of beef in residence 1 time 3: jan 1987 - dec 1990


sbeft3r2          byte     %20.0g        LABN           source of beef in residence 2 time 3: jan 1987 - dec 1990


sbeft3r3          byte     %20.0g        LABN           source of beef in residence 3 time 3: jan 1987 - dec 1990


sbeft3r4          byte     %20.0g        LABN           source of beef in residence 4 time 3: jan 1987 - dec 1990


gbeft3r1          long     %8.0g                    *   quantity (in grams) of beef per week residence 1 time 3: jan 1987 - dec 1990


gbeft3r2          int      %8.0g                    *   quantity (in grams) of beef per week residence 2 time 3: jan 1987 - dec 1990


gbeft3r3          int      %8.0g                    *   quantity (in grams) of beef per week residence 3 time 3: jan 1987 - dec 1990


gbeft3r4          int      %8.0g                    *   quantity (in grams) of beef per week residence 4 time 3: jan 1987 - dec 1990


pltt3r1           byte     %15.0g        LABC           did you consume poultry in residence 1 time 3: jan 1987 - dec 1990


pltt3r2           byte     %15.0g        LABC           did you consume poultry in residence 2 time 3: jan 1987 - dec 1990


pltt3r3           byte     %15.0g        LABC           did you consume poultry in residence 3 time 3: jan 1987 - dec 1990


pltt3r4           byte     %15.0g        LABC           did you consume poultry in residence 4 time 3: jan 1987 - dec 1990


spltt3r1          byte     %20.0g        LABN           source of paultry  in residence 1 time 3: jan 1987 - dec 1990


spltt3r2          byte     %20.0g        LABN           source of paultry  in residence 2 time 3: jan 1987 - dec 1990


spltt3r3          byte     %20.0g        LABN           source of paultry  in residence 3 time 3: jan 1987 - dec 1990


spltt3r4          byte     %20.0g        LABN           source of paultry  in residence 4 time 3: jan 1987 - dec 1990


gpltt3r1          long     %8.0g                    *   quantity (in grams) of paultry per week residence 1 time 3: jan 1987 - dec 1990


gpltt3r2          int      %8.0g                    *   quantity (in grams) of paultry per week residence 2 time 3: jan 1987 - dec 1990


gpltt3r3          int      %8.0g                    *   quantity (in grams) of paultry per week residence 3 time 3: jan 1987 - dec 1990


gpltt3r4          int      %8.0g                    *   quantity (in grams) of paultry per week residence 4 time 3: jan 1987 - dec 1990


msht3r1           byte     %15.0g        LABC           did you consume mushrooms  in residence 1 time 3: jan 1987 - dec 1990


msht3r2           byte     %15.0g        LABC           did you consume mushrooms  in residence 2 time 3: jan 1987 - dec 1990


msht3r3           byte     %15.0g        LABC           did you consume mushrooms  in residence 3 time 3: jan 1987 - dec 1990


msht3r4           byte     %15.0g        LABC           did you consume mushrooms  in residence 4 time 3: jan 1987 - dec 1990


smsht3r1          byte     %20.0g        LABN           source of mushrooms  in residence 1 time 3: jan 1987 - dec 1990


smsht3r2          byte     %20.0g        LABN           source of mushrooms  in residence 2 time 3: jan 1987 - dec 1990


smsht3r3          byte     %20.0g        LABN           source of mushrooms  in residence 3 time 3: jan 1987 - dec 1990


smsht3r4          byte     %20.0g        LABN           source of mushrooms  in residence 4 time 3: jan 1987 - dec 1990


gmsht3r1          int      %8.0g                    *   quantity (in grams) of mushroom per week residence 1 time 3: jan 1987 - dec 1990


gmsht3r2          int      %8.0g                    *   quantity (in grams) of mushroom per week residence 2 time 3: jan 1987 - dec 1990


gmsht3r3          int      %8.0g                    *   quantity (in grams) of mushroom per week residence 3 time 3: jan 1987 - dec 1990


gmsht3r4          byte     %8.0g                    *   quantity (in grams) of mushroom per week residence 4 time 3: jan 1987 - dec 1990


sett4r1           str23    %23s                     *   town of residence 1 time 4: jan 1991-now


sett4r2           str32    %32s                         town of residence 2 time 4: jan 1991-now


sett4r3           str32    %32s                         town of residence 3 time 4: jan 1991-now


sett4r4           str32    %32s                         town of residence 4 time 4: jan 1991-now


rait4r1           str23    %23s                         raion of residence 1 time 4: jan 1991-now


rait4r2           str32    %32s                         raion of residence 2 time 4: jan1991-now


rait4r3           str32    %32s                         raion of residence 3 time 4: jan1991-now


rait4r4           str32    %32s                         raion of residence 4 time 4: jan 1991-now


latdt4r1          byte     %8.0g                    *   latitude in degrees residence 1 time 4: jan 1991-now


latdt4r2          byte     %8.0g                    *   latitude in degrees residence 2 time 4: jan 1991-now


latdt4r3          byte     %8.0g                    *   latitude in degrees residence 3 time 4: jan 1991-now


latdt4r4          byte     %8.0g                    *   latitude in degrees residence 4 time 4: jan 1991-now


londt4r1          int      %8.0g                    *   longitude in degrees  residence 1 time 4: jan 1991-now


londt4r2          int      %8.0g                    *   longitude in degrees  residence 2 time 4: jan 1991-now


londt4r3          byte     %8.0g                    *   longitude in degrees  residence 3 time 4: jan 1991-now


londt4r4          byte     %8.0g                    *   longitude in degrees  residence 4 time 4: jan 1991-now


latmt4r1          byte     %8.0g                    *   latitude in minutes residence 1 time 4: jan 1991-now


latmt4r2          byte     %8.0g                    *   latitude in minutes residence 2 time 4: jan 1991-now


latmt4r3          byte     %8.0g                    *   latitude in minutes residence 3 time 4: jan 1991-now


latmt4r4          byte     %8.0g                    *   latitude in minutes residence 4 time 4: jan 1991-now


lonmt4r1          byte     %8.0g                    *   longitude in minutes  residence 1 time 4: jan 1991-now


lonmt4r2          byte     %8.0g                    *   longitude in minutes  residence 2 time 4: jan 1991-now


lonmt4r3          byte     %8.0g                    *   longitude in minutes  residence 3 time 4: jan 1991-now


lonmt4r4          byte     %8.0g                    *   longitude in minutes  residence 4 time 4: jan 1991-now


mntht4r1          int      %8.0g                    *   how long did you stay in residence 1 time 4: jan 1991-now


mntht4r2          int      %8.0g                    *   how long did you stay in residence 2 time 4: jan 1991-now


mntht4r3          int      %8.0g                    *   how long did you stay in residence 3 time 4: jan 1991-now


mntht4r4          byte     %8.0g                    *   how long did you stay in residence 4 time 4: jan 1991-now


oblt4r1           byte     %31.0g        LABG           oblast of the residence 1 time 4: jan 1991-now


oblt4r2           byte     %31.0g        LABG           oblast of the residence 2 time 4: jan 1991-now


oblt4r3           byte     %31.0g        LABG           oblast of the residence 3 time 4: jan 1991-now


oblt4r4           byte     %31.0g        LABG           oblast of the residence 4 time 4: jan 1991-now


latt4r1           byte     %15.0g        LABF           direction of latitude of  residence 1 time 4: jan 1991-now


latt4r2           byte     %15.0g        LABF           direction of latitude of residence 2 time 4: jan 1991-now


latt4r3           byte     %15.0g        LABF           direction of latitude of residence 3 time 4: jan 1991-now


latt4r4           byte     %15.0g        LABF           direction of latitude of residence 4 time 4: jan 1991-now


lont4r1           byte     %10.0g        lon            direction of longitude of residence 1 time 4: jan 1991-now


lont4r2           byte     %10.0g        lon            direction of longitude of residence 2 time 4: jan 1991-now


lont4r3           byte     %10.0g        lon            direction of longitude of residence 3 time 4: jan 1991-now


lont4r4           byte     %10.0g        lon            direction of longitude of residence 4 time 4: jan 1991-now


typet4r1          byte     %23.0g        LABL           type of  residence 1 time 4: jan 1991-now


typet4r2          byte     %23.0g        LABL           type of  residence 2 time 4: jan 1991-now


typet4r3          byte     %23.0g        LABL           type of  residence 3 time 4: jan 1991-now


typet4r4          byte     %23.0g        LABL           type of  residence 4 time 4: jan 1991-now


occt4r1           byte     %22.0g        LABM           ocupation when in residence 1 time 4: jan 1991-now


occt4r2           byte     %22.0g        LABM           ocupation when in residence 2 time 4: jan 1991-now


occt4r3           byte     %22.0g        LABM           ocupation when in residence 3 time 4: jan 1991-now


occt4r4           byte     %22.0g        LABM           ocupation when in residence 4 time 4: jan 1991-now


ldrt4r1           byte     %15.0g        LABC           did you consume liquid dairy products in residence 1 time 4: jan 1991-now


ldrt4r2           byte     %15.0g        LABC           did you consume liquid dairy products in residence 2 time 4: jan 1991-now


ldrt4r3           byte     %15.0g        LABC           did you consume liquid dairy products in residence 3 time 4: jan 1991-now


ldrt4r4           byte     %15.0g        LABC           did you consume liquid dairy products in residence 4 time 4: jan 1991-now


sldrt4r1          byte     %20.0g        LABN       *   source of liquid dairy products in residence 1 time 4: jan 1991-now


sldrt4r2          byte     %20.0g        LABN       *   source of liquid dairy products in residence 2 time 4: jan 1991-now


sldrt4r3          byte     %20.0g        LABN       *   source of liquid dairy products in residence 3 time 4: jan 1991-now


sldrt4r4          byte     %20.0g        LABN       *   source of liquid dairy products in residence 4 time 4: jan 1991-now


mlldt4r1          int      %8.0g                    *   quantity (in ml) of liquid dairy products in residence 1 time 4: jan 1991-now


mlldt4r2          int      %8.0g                    *   quantity (in ml) of liquid dairy products in residence 2 time 4: jan 1991-now


mlldt4r3          int      %8.0g                    *   quantity (in ml) of liquid dairy products in residence 3 time 4: jan 1991-now


mlldt4r4          int      %8.0g                    *   quantity (in ml) of liquid dairy products in residence 4 time 4: jan 1991-now


sdrt4r1           byte     %15.0g        LABC       *   did you consume solid dairy products in residence 1 time 4: jan 1991-now


sdrt4r2           byte     %15.0g        LABC       *   did you consume solid dairy products in residence 2 time 4: jan 1991-now


sdrt4r3           byte     %15.0g        LABC       *   did you consume solid dairy products in residence 3 time 4: jan 1991-now


sdrt4r4           byte     %15.0g        LABC       *   did you consume solid dairy products in residence 4 time 4: jan 1991-now


ssdrt4r1          byte     %20.0g        LABN       *   source of solid dairy products in residence 1 time 4: jan 1991-now


ssdrt4r2          byte     %20.0g        LABN       *   source of solid dairy products in residence 2 time 4: jan 1991-now


ssdrt4r3          byte     %20.0g        LABN       *   source of solid dairy products in residence 3 time 4: jan 1991-now


ssdrt4r4          byte     %20.0g        LABN       *   source of solid dairy products in residence 4 time 4: jan 1991-now


gldt4r1           long     %8.0g                    *   quantity (in grams) of solid dairy in residence 1 time 4: jan 1991-now


gldt4r2           long     %8.0g                    *   quantity (in grams) of solid dairy in residence 2 time 4: jan 1991-now


gldt4r3           long     %8.0g                    *   quantity (in grams) of solid dairy in residence 3 time 4: jan 1991-now


gldt4r4           int      %8.0g                    *   quantity (in grams) of solid dairy in residence 4 time 4: jan 1991-now


pott4r1           byte     %15.0g        LABC           did you consume potatoes in residence 1 time 4: jan 1991-now


pott4r2           byte     %15.0g        LABC           did you consume potatoes in residence 2 time 4: jan 1991-now


pott4r3           byte     %15.0g        LABC           did you consume potatoes in residence 3 time 4: jan 1991-now


pott4r4           byte     %15.0g        LABC           did you consume potatoes in residence 4 time 4: jan 1991-now


spott4r1          byte     %20.0g        LABN       *   source of potatoes in residence 1 time 4: jan 1991-now


spott4r2          byte     %20.0g        LABN       *   source of potatoes in residence 2 time 4: jan 1991-now


spott4r3          byte     %20.0g        LABN       *   source of potatoes in residence 3 time 4: jan 1991-now


spott4r4          byte     %20.0g        LABN       *   source of potatoes in residence 4 time 4: jan 1991-now


gpott4r1          long     %8.0g                    *   quantity of potatoes (in grams)  per week in residence 1 time 4: jan 1991-now


gpott4r2          long     %8.0g                    *   quantity of potatoes (in grams)  per week in residence 2 time 4: jan 1991-now


gpott4r3          int      %8.0g                    *   quantity of potatoes (in grams)  per week in residence 3 time 4: jan 1991-now


gpott4r4          int      %8.0g                    *   quantity of potatoes (in grams)  per week in residence 4 time 4: jan 1991-now


prkt4r1           byte     %15.0g        LABC           did you consume pork in residence 1 time 4: jan 1991-now


prkt4r2           byte     %15.0g        LABC           did you consume pork in residence 2 time 4: jan 1991-now


prkt4r3           byte     %15.0g        LABC           did you consume pork in residence 3 time 4: jan 1991-now


prkt4r4           byte     %15.0g        LABC           did you consume pork in residence 4 time 4: jan 1991-now


sprkt4r1          byte     %20.0g        LABN       *   source of pork  in residence 1 time 4: jan 1991-now


sprkt4r2          byte     %20.0g        LABN       *   source of pork  in residence 2 time 4: jan 1991-now


sprkt4r3          byte     %20.0g        LABN       *   source of pork  in residence 3 time 4: jan 1991-now


sprkt4r4          byte     %20.0g        LABN       *   source of pork  in residence 4 time 4: jan 1991-now


gprkt4r1          int      %8.0g                    *   quantity of pork (in grams) per week in residence 1 time 4: jan 1991-now


gprkt4r2          int      %8.0g                    *   quantity of pork (in grams) per week in residence 2 time 4: jan 1991-now


gprkt4r3          int      %8.0g                    *   quantity of pork (in grams) per week in residence 3 time 4: jan 1991-now


gprkt4r4          int      %8.0g                    *   quantity of pork (in grams) per week in residence 4 time 4: jan 1991-now


beft4r1           byte     %15.0g        LABC           did you consume beef in residence 1 time 4: jan 1991-now


beft4r2           byte     %15.0g        LABC           did you consume beef in residence 2 time 4: jan 1991-now


beft4r3           byte     %15.0g        LABC           did you consume beef in residence 3 time 4: jan 1991-now


beft4r4           byte     %15.0g        LABC           did you consume beef in residence 4 time 4: jan 1991-now


sbeft4r1          byte     %20.0g        LABN           source of beef in residence 1 in time 4: jan 1991-now


sbeft4r2          byte     %20.0g        LABN           source of beef in residence 2 in time 4: jan 1991-now


sbeft4r3          byte     %20.0g        LABN           source of beef in residence 3 in time 4: jan 1991-now


sbeft4r4          byte     %20.0g        LABN           source of beef in residence 4 in time 4: jan 1991-now


gbeft4r1          long     %8.0g                    *   quantity of beef (in grams) per week in residence 1 in time 4: jan 1991-now


gbeft4r2          int      %8.0g                    *   quantity of beef (in grams) per week in residence 2 in time 4: jan 1991-now


gbeft4r3          int      %8.0g                    *   quantity of beef (in grams) per week in residence 3 in time 4: jan 1991-now


gbeft4r4          int      %8.0g                    *   quantity of beef (in grams) per week in residence 4 in time 4: jan 1991-now


pltt4r1           byte     %15.0g        LABC       *   did you consume poultry  in residence 1 in time 4: jan 1991-now


pltt4r2           byte     %15.0g        LABC       *   did you consume poultry  in residence 2 in time 4: jan 1991-now


pltt4r3           byte     %15.0g        LABC       *   did you consume poultry  in residence 3 in time 4: jan 1991-now


pltt4r4           byte     %15.0g        LABC       *   did you consume poultry  in residence 4 in time 4: jan 1991-now


spltt4r1          byte     %20.0g        LABN           source of paultry  in residence 1 in time 4: jan 1991-now


spltt4r2          byte     %20.0g        LABN           source of paultry  in residence 2 in time 4: jan 1991-now


spltt4r3          byte     %20.0g        LABN           source of paultry  in residence 3 in time 4: jan 1991-now


spltt4r4          byte     %20.0g        LABN           source of paultry  in residence 4 in time 4: jan 1991-now


gpltt4r1          long     %8.0g                    *   quantity of paultry (in grams) per week  in residence 1 in time 4: jan 1991-now


gpltt4r2          int      %8.0g                    *   quantity of paultry (in grams) per week  in residence 2 in time 4: jan 1991-now


gpltt4r3          int      %8.0g                    *   quantity of paultry (in grams) per week  in residence 3 in time 4: jan 1991-now


gpltt4r4          int      %8.0g                    *   quantity of paultry (in grams) per week  in residence 4 in time 4: jan 1991-now


msht4r1           byte     %15.0g        LABC       *   did you consume mushrooms  in residence 1 in time 4: jan 1991-now


msht4r2           byte     %15.0g        LABC       *   did you consume mushrooms  in residence 2 in time 4: jan 1991-now


msht4r3           byte     %15.0g        LABC       *   did you consume mushrooms  in residence 3 in time 4: jan 1991-now


msht4r4           byte     %15.0g        LABC       *   did you consume mushrooms  in residence 4 in time 4: jan 1991-now


smsht4r1          byte     %20.0g        LABN           source of mushrooms  in residence 1 in time 4: jan 1991-now


smsht4r2          byte     %20.0g        LABN           source of mushrooms  in residence 2 in time 4: jan 1991-now


smsht4r3          byte     %20.0g        LABN           source of mushrooms  in residence 2 in time 4: jan 1991-now


smsht4r4          byte     %20.0g        LABN           source of mushrooms  in residence 3 in time 4: jan 1991-now


gmsht4r1          int      %8.0g                    *   quantity of mushroom (in grams) per week  in residence 1 in time 4: jan 1991-now


gmsht4r2          int      %8.0g                    *   quantity of mushroom (in grams) per week  in residence 2 in time 4: jan 1991-now


gmsht4r3          int      %8.0g                    *   quantity of mushroom (in grams) per week  in residence 3 in time 4: jan 1991-now


gmsht4r4          byte     %8.0g                    *   quantity of mushroom (in grams) per week  in residence 4 in time 4: jan 1991-now


csflfrnd          byte     %15.0g        LABB       *   let your feelings out to a friend?


csrearr           byte     %15.0g        LABB       *   rearranged things around you so that your problem had the best chance of being s


csbrstrm          byte     %15.0g        LABB           brainstormed all possible solutions before deciding what to do?


csdist            byte     %15.0g        LABB           tried to distract yourself from the problem?


csaccsy           byte     %15.0g        LABB           accepted sympathy and understanding from someone?


cskpothe          byte     %15.0g        LABB           did all you could to keep others from seeing how bad things really were?


cstkpeop          byte     %15.0g        LABB       *   talked to people about the situation because talking about it helped you to feel


cssetgoa          byte     %15.0g        LABB           set some goals for yourself to deal with the situation?


cswghopt          byte     %15.0g        LABB           weighed your options very carefully?


csddream          byte     %15.0g        LABB           daydreamed about a better time?


csdifsov          byte     %15.0g        LABB           tried different ways to solve the problem until you found one that worked?


cscofear          byte     %15.0g        LABB           confided your fears and worries to a friend or a relative?


csalone           byte     %15.0g        LABB           spent more time than usual alone?


cstldpep          byte     %15.0g        LABB       *   told people about the situation because just talking about it helped you to come


csstngs           byte     %15.0g        LABB           thought about what needed to be done to straighten things out?


csflatt           byte     %15.0g        LABB           turned your full attention to solving the problem?


csactpl           byte     %15.0g        LABB           formed a plan of action in your mind?


cstv              byte     %15.0g        LABB           watched television more than usual?


csfrndpr          byte     %15.0g        LABB           went to someone (friend or professional) in order to help you feel better?


csstndfr          byte     %15.0g        LABB           stood firm and fought for what you wanted in the situation?


csavdppl          byte     %15.0g        LABB           avoided being with people in general?


cshbspor          byte     %15.0g        LABB           buried yourself in a hobby or sports activity to avoid the problem?


csfriend          byte     %15.0g        LABB           went to a friend to help you feel better about the problem?


csadvice          byte     %15.0g        LABB           went to a friend for advice on how to change the situation?


csacsymp          byte     %15.0g        LABB           accepted sympathy and understanding from friends who had the same problem?


cssleep           byte     %15.0g        LABB           slept more than usual?


csfantsy          byte     %15.0g        LABB           fantasized about how things could have been different?


csidnovl          byte     %15.0g        LABB           identified with characters in novels or movies?


cssolvpr          byte     %15.0g        LABB           tried to solve the problem?


cslvbe            byte     %15.0g        LABB           wished that people would just leave you alone?


csachelp          byte     %15.0g        LABB           accepted help from a friend or relative?


csreasur          byte     %15.0g        LABB           sought reassurance from those who know you best?


csplnact          byte     %15.0g        LABB           tried to carefully plan a course of action rather than acting on impulse?


psolv             byte     %8.0g                        subscale i = "problem solving"


socsup            byte     %8.0g                        subscale ii = "seeking social support"


avoid             byte     %8.0g                        subscale iii = "avoidance"


hptired           byte     %12.0g        HPLabel        i’m tired all the time


hppainit          byte     %12.0g        HPLabel        i have pain at night


hpgtdwn           byte     %12.0g        HPLabel        things are getting me down


hpunpain          byte     %12.0g        HPLabel        i have unbearable pain


hpslepil          byte     %12.0g        HPLabel        i take pills to help me sleep


hpnojoy           byte     %12.0g        HPLabel        i’ve forgotten what it’s like to enjoy myself


hponedge          byte     %12.0g        HPLabel        i’m feeling on edge


hpcngpos          byte     %12.0g        HPLabel        i find it painful to change position


hplonely          byte     %12.0g        HPLabel        i feel lonely


hpwlkinr          byte     %12.0g        HPLabel        i can walk about only indoors


hpnobend          byte     %12.0g        HPLabel        i find it hard to bend


hpalefrt          byte     %12.0g        HPLabel        everything is an effort


hpwkgrly          byte     %12.0g        HPLabel        i’m waking up in the early hours of the morning


hpnowlk           byte     %12.0g        HPLabel        i’m unable to walk at all


hphrdcnt          byte     %12.0g        HPLabel        i’m finding it hard to make contact with people


hpdaydrg          byte     %12.0g        HPLabel        the days seem to drag


hpstairs          byte     %12.0g        HPLabel        i have trouble getting up and down stairs and steps


hphrdrch          byte     %12.0g        HPLabel        i find it hard to reach for things


hpwlkpai          byte     %12.0g        HPLabel        i’m in pain when i walk


hptemper          byte     %12.0g        HPLabel        i lose my temper easily these days


hpnoclse          byte     %12.0g        HPLabel        i feel like there is nobody that i am close to


hpawake           byte     %12.0g        HPLabel        i lie awake for most of the night


hplocntr          byte     %12.0g        HPLabel        i feel as if i’m losing control


hpstdpai          byte     %12.0g        HPLabel        i’m in pain when i’m standing


hphardre          byte     %12.0g        HPLabel        i find it hard to get dressed by myself


hpnoergy          byte     %12.0g        HPLabel        i soon run out of energy


hphrdstd          byte     %12.0g        HPLabel        i find it hard to stand for long (e.g. at the kitchen sink, waiting in line)


hpconpai          byte     %12.0g        HPLabel        i’m in constant pain.


hplgslee          byte     %12.0g        HPLabel        it takes me a long time to get to sleep.


hpburden          byte     %12.0g        HPLabel        i feel i am a burden to people.


hpwryawk          byte     %12.0g        HPLabel        worry is keeping me awake at night.


hpnolive          byte     %12.0g        HPLabel        i feel that life is not worth living.


hpbadslp          byte     %12.0g        HPLabel        i sleep badly at night.


hpgtalng          byte     %12.0g        HPLabel        i’m finding it hard to get along with people.


hphlpwlk          byte     %12.0g        HPLabel        i need help to walk about outside (e.g. a walking aid or someone to support me).


hpstrspn          byte     %12.0g        HPLabel        i’m in pain when going up or down stairs.


hpamdprs          byte     %12.0g        HPLabel        i wake up feeling depressed


hpsitpai          byte     %12.0g        HPLabel        i’m in pain when i’m sitting.


enlev             double   %9.0g                        energy level (el)


pain              double   %9.0g                        pain (p)


emreac            double   %9.0g                        emotional reaction (er)


sleep             double   %9.0g                        sleep (s)


socisol           double   %9.0g                        social isolation (si)


phabil            double   %9.0g                        physical abilities (pa)


hpprbwk           byte     %12.0g        HPLabel        health causes problems at work


hpprbcln          byte     %12.0g        HPLabel    *   health causes problems taking care of home


hpprobsc          byte     %12.0g        HPLabel        health causing problems with social life


hpprobho          byte     %12.0g        HPLabel        health causing problems with home life


hpprosex          byte     %12.0g        HPLabel        health cauing problems with sex life


hpproint          byte     %12.0g        HPLabel        health causing problems with interests and hobbies


hpprovac          byte     %12.0g        HPLabel        health causing problems with vacations


hthprof           byte     %8.0g                        health profile subscale


ffriend           byte     %18.0g        LABD       *   before the chornobyl event in 1986 i had more close friends than i have now.


fchorn            byte     %18.0g        LABD       *   if something happens that reminds me of chornobyl. i become very distressed and


fguilt            byte     %18.0g        LABD           i feel guilty over things i did around the time of chornobyl


fpush             byte     %18.0g        LABD       *   since the event i find that if someone pushes me too far, i am likely to become


fnight            byte     %18.0g        LABD           i have nightmares about chornobyl.


fdead             byte     %18.0g        LABD       *   when i think of some of the things i did at the time of chornobyl i wish i were


fnofeel           byte     %18.0g        LABD           since chornobyl, it seems as if i have no feelings.


flived            byte     %18.0g        LABD           i wonder why i lived when others died.


fsituat           byte     %18.0g        LABD           being in certain situations makes me feel as though i am back in the event.


flaugh            byte     %18.0g        LABD       *   since chornobyl it seems that i do not laugh or cry about the same things that


fnoise            byte     %18.0g        LABD           since chornobyl unexpected noises make me jump.


falcoh            byte     %18.0g        LABD       *   i have used alcohol or other drugs to help me sleep or to make me forget the eve


fafraid           byte     %18.0g        LABD           since chornobyl  i have been afraid to sleep at night


fstayaw           byte     %18.0g        LABD       *   i try to stay away from anything that will remind me of things which happened du


fremem            byte     %18.0g        LABD           i have difficulty remembering some things which happened during the event.


fanxio            byte     %18.0g        LABD           if something happens that reminds me of chornobyl, i get anxious and panicky.


fremind           byte     %18.0g        LABD           things i see or hear often remind me of the chornobyl event.


fdontth           byte     %18.0g        LABD           i often think about the event even when i don’t mean to.


femot             byte     %18.0g        LABD           i am able to get emotionally close to others.


fkill             byte     %18.0g        LABD           lately i have felt like killing myself.


fasleep           byte     %18.0g        LABD           i fall asleep stay asleep and awaken only when the alarm goes off.


fdream            byte     %18.0g        LABD       *   my dreams are so real that i awaken in a cold sweat and force myself to stay awa


fgoon             byte     %18.0g        LABD           i feel like i cannot go on.


fenjoy            byte     %18.0g        LABD           i still enjoy doing many things that i used to enjoy.


fconcen           byte     %18.0g        LABD           i have trouble concentrating on tasks.


fcomp             byte     %18.0g        LABD           i enjoy the company of others.


ffallas           byte     %18.0g        LABD           i fall asleep easily at night.


funder            byte     %18.0g        LABD           no one understands how i feel, not even my family.


fcool             byte     %18.0g        LABD           lately, i lose my cool and explode of minor everyday things.


falert            byte     %18.0g        LABD           i feel alert and on guard much of the time.


instsym           byte     %8.0g                        intrusion symptom score


avoisym           byte     %8.0g                        avoidance symptom score


aroussym          byte     %8.0g                        arousal symptom score


suicsym           byte     %8.0g                        suicidal/guilt score


bsnerv            byte     %20.0g        LABE           nervousness or shakiness inside


bsfaint           byte     %20.0g        LABE           faintness or dizziness


bsidea            byte     %20.0g        LABE           the idea that someone else can control your thoughts


bsothers          byte     %20.0g        LABE           feeling others are to blame for most of your troubles


bsnomem           byte     %20.0g        LABE           trouble remembering things


bsannoy           byte     %20.0g        LABE           feeling easily annoyed or irritated


bspain            byte     %20.0g        LABE           pains in the heart or chest


bsafraid          byte     %20.0g        LABE           feeling afraid in open spaces


bsendlif          byte     %20.0g        LABE           thoughts of ending your life


bstrust           byte     %20.0g        LABE           feeling that most people cannot be trusted


bseat             byte     %20.0g        LABE           poor appetite


bsscared          byte     %20.0g        LABE           suddenly scared for no reason


bstemper          byte     %20.0g        LABE           temper outbursts that you could not control


bslonely          byte     %20.0g        LABE           feeling lonely even when you are with people


bsblock           byte     %20.0g        LABE           feeling blocked in getting things done


bsalone           byte     %20.0g        LABE           feeling lonely


bsblue            byte     %20.0g        LABE           feeling blue


bsnoint           byte     %20.0g        LABE           feeling no interest in things


bsfear            byte     %20.0g        LABE           feeling fearful


bshurt            byte     %20.0g        LABE           your feelings being easily hurt


bsnofrd           byte     %20.0g        LABE           feeling that people are unfriendly or dislike you


bsinf             byte     %20.0g        LABE           feeling inferior to others


bsnausea          byte     %20.0g        LABE           nausea or upset stomach


bswatch           byte     %20.0g        LABE           feeling that you are watched or talked about by others


bsnoslp           byte     %20.0g        LABE           trouble falling asleep


bscheck           byte     %20.0g        LABE           having to check and double-check what you do


bsnodec           byte     %20.0g        LABE           difficulty making decisions


bsnotrav          byte     %20.0g        LABE           feeling afraid to travel on buses,undergrounds or trains


bsnobrth          byte     %20.0g        LABE           trouble getting your breath


bshtcold          byte     %20.0g        LABE           hot or cold spells


bsavoid           byte     %20.0g        LABE           having to avoid certain things, places, or activities because they frighten you


bsblank           byte     %20.0g        LABE           your mind going blank


bsnumb            byte     %20.0g        LABE           numbness or tingling in parts of your body


bspunish          byte     %20.0g        LABE           the idea that you should be punished for your sins


bshoples          byte     %20.0g        LABE           feeling hopeless about the future


bsnothk           byte     %20.0g        LABE           trouble concentrating


bsweak            byte     %20.0g        LABE           feeling weak in parts of your body


bstense           byte     %20.0g        LABE           feeling tense or keyed up


bsdeath           byte     %20.0g        LABE           thoughts of death or dying


bsbeat            byte     %20.0g        LABE           having urges to beat, injure or harm someone


bsbreak           byte     %20.0g        LABE           having urges to break or smash things


bsconsc           byte     %20.0g        LABE           feeling very self-conscious with others


bsuneasy          byte     %20.0g        LABE           feeling uneasy in crowds


bsnoclse          byte     %20.0g        LABE           never feeling close to another person


bspanic           byte     %20.0g        LABE           spells of terror or panic


bsargue           byte     %20.0g        LABE           getting into frequent arguments


bsnerv_a          byte     %20.0g        LABE           feeling nervous when you are left alone


bscredit          byte     %20.0g        LABE           others not giving you proper credit for your achievements


bsnosit           byte     %20.0g        LABE           feeling so restless you couldn’t sit still


bsworth           byte     %20.0g        LABE           feelings of worthlessness


bsadvan           byte     %20.0g        LABE           feeling that people will take advantage of you if you let them


bsguilt           byte     %20.0g        LABE           feeling of guilt


bswrong           byte     %20.0g        LABE           the idea that something is wrong with your mind


possym            int      %8.0g                        positive symptom total


somatiz           byte     %8.0g                        somatization


obsess            byte     %8.0g                        obsession-compulsion


interper          byte     %8.0g                        interpersonal sensitivity


depress           byte     %8.0g                        depression


anxiety           byte     %8.0g                        anxiety


hostilit          byte     %8.0g                        hostility


phobanx           byte     %8.0g                        phobic anxiety


paran             byte     %8.0g                        paranoid ideation


psychot           byte     %8.0g                        psychoticism


globseve          double   %9.0g                        global severity


CSprbslv          byte     %9.0g                        Coping Problem Solving Subscale


CSsocspt          byte     %9.0g                        Coping social support subscale


CSavoid           byte     %9.0g                        Coping Avoidance subscale


WHP1el            double   %9.0g


WHP2p             double   %9.0g


WHP3er            double   %9.0g


WHP4p             double   %9.0g


WHP5s             double   %9.0g


WHP6er            double   %9.0g


WHP7er            double   %9.0g


WHP8p             double   %9.0g


WHP9si            double   %9.0g


WHP10pa           double   %9.0g


WHP11pa           double   %9.0g


WHP12el           double   %9.0g


WHP13s            double   %9.0g


WHP14pa           double   %9.0g


WHP15si           double   %9.0g


WHP16er           double   %9.0g


WHP17pa           double   %9.0g


WHP18pa           double   %9.0g


WHP19p            double   %9.0g


WHP20er           double   %9.0g


WHP21si           double   %9.0g


WHP22s            double   %9.0g


WHP23er           double   %9.0g


WHP24p            double   %9.0g


WHP25pa           double   %9.0g


WHP26el           byte     %9.0g


WHP27pa           double   %9.0g


WHP28ps           double   %9.0g


WHP29s            double   %9.0g


WHP30si           double   %9.0g


WHP31er           double   %9.0g


WHP32er           double   %9.0g


WHP33s            double   %9.0g


WHP34si           double   %9.0g


WHP35pa           double   %9.0g


WHP36p            double   %9.0g


WHP37er           double   %9.0g


WHP38p            double   %9.0g


whp23er           double   %9.0g


WHPel             double   %9.0g                        Wtd Health Profile Pt 1 Energy Level Subscale


WHPpain           double   %9.0g                        Wtd Health Profile Pain Pt 1 subscale


WHPer             double   %9.0g                        Wtd Health Profile Emotional reaction Pt 1 subscale


WHPsleep          double   %9.0g                        Wtd Health Profile Sleep Pt 1 subscale


WHPsociso         double   %9.0g                        Wtd Health Profile Social Isolation Pt 1 subscale


WHPpa             double   %9.0g                        Wtd Health Profile Physical Ability Pt 1 Subscale


HP2work           byte     %9.0g         hp2fmt         Nottingham Health profile subscale Part2: paid employment


HP2hmcare         byte     %9.0g         hp2fmt         Hlth profile Pt2: Home cleaning, cooking and repairs


HP2probsoc        byte     %9.0g         hp2fmt         Hlth profile Pt2: Hlth causing probs with social life


HP2pbfhm          byte     %9.0g         hp2fmt         Hlth profile Pt2: Hlth causing probs with family members at home


HP2sxlife         byte     %9.0g         hp2fmt         Hlth profile Pt2: Hlth causing probs with sex life


HP2inthob         byte     %9.0g         hp2fmt         Hlth profile Pt2: Hlth probs interfering with interests & hobbies


HP2vacatn         byte     %9.0g         hp2fmt         Hlth profile Pt2: Hlth probs interfering with vacations


BSItotal          int      %9.0g                        Basic symptom inventory total scale score


lBSItotal         double   %9.0g                        Ln(bsItotal)


BSIposymp         int      %9.0g                        Brief Symptom inventory positive symptom total subscale


BSIglobsi         double   %9.0g                        Brief Symptom Inventory Global Severity (mean) Index


BSIsoma           byte     %9.0g                        Basic symptom inventory obsessive compulsive subscale


BSIoc             byte     %9.0g                        Basic Symptom Inventory Obsessive compulsive subscale


BSIips            byte     %9.0g                        Basic symptom invenstory interpersonal sensitivity subscale


BSIdep            byte     %9.0g                        Basic symptom inventory Depression subscale


BSIanx            byte     %9.0g                        Basic symptom inventory Anxiety subscale


BSIphanx          byte     %9.0g                        Basic symptom inventory phobic anxiety subscale


BSIhos            byte     %9.0g                        Basic symptom invenstory hostility subscale


BSIpar            byte     %9.0g                        Basic symptom invenstory Paranoia subscale


BSIpsyc           byte     %9.0g                        Basic symptom inventory Psychoticism subscale score


testage1          double   %9.0g


yrageck           double   %9.0g


iday              byte     %9.0g


idates            str10    %10s


idate             int      %d                           Stata date of interview


bday              byte     %9.0g


bdates            str10    %10s                         String birthdate


bdate             long     %d                           Stata birthdate of respondent


moage             int      %9.0g                        Age of respondent in months


yrage             double   %9.0g                        Computed age of respondent


agerr             double   %9.0g                        Error in age recording?


fenjoyr           byte     %15.0g        fnjr           I no longer enjoy many of the things I used to enjoy (reversal of fenjoy)


fallasr           byte     %15.0g        fnjr           I do not fall alseep easily at night (reversal of ffallas)


MiPTSD            byte     %9.0g                        Misssissipi post-traumatic stress disorder scale


apprxage          int      %9.0g


iyr               int      %9.0g                        Interview year


byr               int      %9.0g                        Birth year


bmo               byte     %9.0g                        Birth month


imo               byte     %9.0g                        Interview month


agemoadj          byte     %9.0g                        Adjustment to age in months


pos               byte     %9.0g                        indicator function


neg               byte     %9.0g                        indicator function


agemo             int      %9.0g                        age in months


ageyrs            double   %9.0g                        computed age of respondent in years


mincumdosew1      double   %8.0g                        wave 1 avg minimum dose of CS137 in mGy ending 12/31/1986


avgcumdosew1      double   %8.0g                        wave 1 avg mean CS137 dose  in mGy ending 12/31/1986


maxcumdosew1      double   %8.0g                        wave2 avg CS137  maximum dose ending 12/31/1986


mincumdosew2      double   %8.0g                        Wave 2 average minimum CS137 dose in mGy ending 12/31/1996


avgcumdosew2      double   %8.0g                        Average mean dose CS1337 in mGy for wave 2


maxcumdosew2      double   %8.0g                        Avg Max dose in mGY for wave 2


mincumdosew3      double   %8.0g                        Wave 3 avg minimum dose of CS137 ending in 12/31/2009


avgcumdosew3      double   %8.0g                        Avg Mean dose of CS137 ending 12/31/2009


maxcumdosew3      double   %8.0g                        Average maximum dose of CS137 ending in 12/31/2009  in mGy


reporttype        str45    %45s                         Report type:


threewavepane~s   str32    %32s                         Three-wave panel, cumulative doses


wave1summary      str10    %10s                         Three-wave panel, cumulative doses


wave2summary      str10    %10s


wave3summary      str10    %10s


ranown2           byte     %27.0g        ranown         Current raion of residence


townnown          byte     %27.0g        townnown       Current town of residence


totltele          long     %9.0g                        Total number of landline phones per raion


area              byte     %22.0g        ar             Basis of sampling weights


areacodewt        int      %9.0g                        Basis of sampling weight


combined          byte     %24.0g        combi          Was this area combined with another to form final sampling weight?


oblnown           byte     %8.0g         oblnown        Current Oblast of residence


numresp           int      %9.0g                        Number of respondents per area


c                 byte     %9.0g                        Constant of unity for subsample computation of cases per area


areaRespid        int      %9.0g                        Number of respondents in sample per areacode


raionwt           double   %9.0g                        inverse of sampling wt per raion


totalphones       long     %9.0g                        Totoal number of phones in Kyiv and Zhitomyr Oblast


sampwt            double   %9.0g                        Sampling weight


fpc1              double   %9.0g                        Finite population correction


cptsd             double   %9.0g                        Mean centered PTSD score


cbdep             double   %9.0g                        Mean centered BSI depression score


cpxd              double   %9.0g                        Mean centered interaction between PTSD and BSI Depression


pxd               int      %9.0g                        Interaction between PTSD and BSI depression


genwt             int      %9.0g                        Post-stratification gender proportion correction factor


agesq             int      %9.0g


male              byte     %9.0g


mar0w3            byte     %9.0g                        Married code 0 in wave 3


emplw35           byte     %8.0g                        emplw3==5. unemployed


occ1w3            byte     %15.0g        LABJ           professional executive administration now


occ2w3            byte     %15.0g        LABJ           technical sales admin support now


occ3w3            byte     %15.0g        LABJ           service occup protective services now


occ4w3            byte     %15.0g        LABJ           precision prod mechan craft construction now


occ5w3            byte     %15.0g        LABJ           factory laborer machinist transp cleaner now


occ6w3            byte     %15.0g        LABJ           farming agricul forestry fishing trapping logging now


occ7w3            byte     %15.0g        LABJ           homemaking or caregiving now


occ8w3            byte     %15.0g        LABJ           student now


inc1w3            byte     %15.0g        LABJ           Income is not sufficient for basic neccessities NOW


inc2w3            byte     %15.0g        LABJ           Income is just sufficient for basic neccessities NOW


inc3w3            byte     %15.0g        LABJ           Income is sufficient for basics plus extra purchases/savings NOW


inc4w3            byte     %15.0g        LABJ           Income allows to comfortably afford luxury items NOW


radhlw3           byte     %8.0g                        Self-perceived Chornobyl health threat in wave 3


radchw3           byte     %8.0g                        believed % of polution related to chornobyl NOW


radtlw3           byte     %8.0g                        believed % of cumulative radiation exposed to in a lifetime NOW


havmil            double   %9.0g                        Distance from Chornobyl in miles


.
. des bfffpain2-bfffpain34

              storage  display     value
variable name   type   format      label      variable label
-------------


bfffpain2         byte     %9.0g                        max(0, 23 - BSIsoma)


bfffpain3         float    %9.0g                         max(0, hospw3 - 1.57823e-007)


bfffpain4         float    %9.0g                        max(0, occ3w2 + 2.13147e-009)


bfffpain5         byte     %9.0g                        max(0, shhlw1 -30)


bfffpain6         byte     %9.0g                        max(0, 30-shhlw1)


bfffpain7         byte     %9.0g                         max(0, inc1w3 - 7.3627e-009) * bfffpain5


bfffpain8         byte     %9.0g                        max(0, BSIsoma - 13)


bfffpain9         byte     %9.0g                        max(0, 13-BSIsoma)


bfffpain11        int      %9.0g                        max(0, 80- radw2)*bfffpain8 female pain series


bfffpain12        float    %9.0g                         max(0, physdisagw3 - 10) * bfffpain9


bfffpain13        float    %9.0g                        max(0, 10 - physdisagw3) * bfffpain9


bfffpain14        float    %9.0g                         max(0, havmil - 112.275) * bfffpain11


bfffpain15        float    %9.0g                         max(0, 112.275 - havmil) * bfffpain11


bfffpain16        float    %9.0g                         max(0, painmedspw3 - 4.33161e-008) * bfffpain3


bfffpain17        float    %9.0g                        max(0, defnw2 - 90)* bfffpain4


bfffpain19        float    %9.0g                         (CSprbslv != . ) * bfffpain15


bfffpain21        float    %9.0g                        max(0, CSprbslv - 29) * bfffpain19


bfffpain22        float    %9.0g                        max(0, 29-CSprbslv)*bfffpain19


bfffpain23        float    %9.0g                        max(0, shrelaw1 - 10)*bfffpain16


bfffpain24        float    %9.0g                        max(0, 10-shrelaw1)*bfffpain16


bfffpain25        float    %9.0g                        max(0, suchrw2 - 2.24572e-006) * bfffpain23


bfffpain26        float    %9.0g                        max(0, neiw3 - 80) * bfffpain24


bfffpain27        float    %9.0g                        max((0, 80 - neiw3) * bfffpain24 )


bfffpain28        float    %9.0g                        max(0, age - 28)*bfffpain22


bfffpain29        float    %9.0g                        (medcow3 != .)* bfffpain4


bfffpain32        float    %9.0g                        max(0, 3- medcow3) * bfffpain29


bfffpain33        float    %9.0g                         max(0, PTSDw3 + 3.81914e-008) * bfffpain32


bfffpain34        float    %9.0g                         max(0, occ4w3 - 9.59584e-010) * bfffpain3


.
. local bfw3 bfffpain3 bfffpain7 bfffpain8 bfffpain9 bfffpain12 bfffpain13 ///
>     bfffpain14 bfffpain15 bfffpain16 bfffpain19 bfffpain21 bfffpain22 ///
>     bfffpain26 bfffpain27 bfffpain28 bfffpain29 bfffpain32 bfffpain33 ///
>     bfffpain34

.
. regress WHPpain age educ2-educ5 marrw31-marrw33 marrw35 childw3 ///
>   emplw32-emplw34 occ1w3-occ7w3  inc1w3-inc4w3 radhlw3 radchw3 ///
>   radtlw3 havmil `bfw3' avgcumdosew3 if gender==2

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 48,   314) =   14.22
       Model |  123596.047    48  2574.91764           Prob > F      =  0.0000
    Residual |  56850.8169   314  181.053557           R-squared     =  0.6849
-------------+------------------------------           Adj R-squared =  0.6368
       Total |  180446.864   362  498.471999           Root MSE      =  13.456

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .2006054    .0917017      2.19    0.029      .0201779     .3810328
       educ2 |    5.494481    3.342786      1.64    0.101      -1.08261     12.07157
       educ3 |    2.362242    1.849475      1.28    0.202     -1.276688     6.001172
       educ4 |    6.430872    3.272176      1.97    0.050     -.0072898     12.86903
       educ5 |   -.0601994    2.470084     -0.02    0.981     -4.920208     4.799809
     marrw31 |    .9661121    3.776446      0.26    0.798     -6.464226      8.39645
     marrw32 |    6.891136    5.431863      1.27    0.206     -3.796314     17.57859
     marrw33 |    4.136903      2.3186      1.78    0.075     -.4250522     8.698858
     marrw35 |    2.383149    3.426536      0.70    0.487     -4.358724     9.125021
     childw3 |    .7731541    1.018331      0.76    0.448     -1.230461     2.776769
     emplw32 |    3.993512    3.089506      1.29    0.197     -2.085238     10.07226
     emplw33 |   -9.480445    13.88675     -0.68    0.495     -36.80329      17.8424
     emplw34 |    .9752595    2.919222      0.33    0.739      -4.76845     6.718969
      occ1w3 |    1.291223     8.27058      0.16    0.876     -14.98154     17.56398
      occ2w3 |    5.718883    8.430373      0.68    0.498     -10.86828     22.30604
      occ3w3 |    .7321127    8.585602      0.09    0.932     -16.16047     17.62469
      occ4w3 |     2.02377    10.19934      0.20    0.843     -18.04392     22.09146
      occ5w3 |     9.94796    10.33796      0.96    0.337     -10.39246     30.28838
      occ6w3 |    3.377447    10.62451      0.32    0.751     -17.52678     24.28168
      occ7w3 |    4.876505    8.158436      0.60    0.550     -11.17561     20.92862
      inc1w3 |    2.920362     8.28312      0.35    0.725     -13.37707      19.2178
      inc2w3 |    .1141018    8.259248      0.01    0.989     -16.13636     16.36457
      inc3w3 |    2.257666    8.305028      0.27    0.786     -14.08287     18.59821
      inc4w3 |     7.78157    9.903408      0.79    0.433     -11.70386       27.267
     radhlw3 |     .023925    .0269048      0.89    0.375     -.0290115     .0768615
     radchw3 |   -.0242718    .0302821     -0.80    0.423     -.0838532     .0353096
     radtlw3 |    .0116754    .0314295      0.37    0.711     -.0501636     .0735145
      havmil |    .0000935     .003283      0.03    0.977     -.0063659     .0065529
   bfffpain3 |    .1497724    .0469435      3.19    0.002      .0574088      .242136
   bfffpain7 |    .0617725    .0711855      0.87    0.386     -.0782884     .2018333
   bfffpain8 |    1.952158    .2873146      6.79    0.000      1.386853     2.517463
   bfffpain9 |   -2.025335    .7644603     -2.65    0.008     -3.529448    -.5212232
  bfffpain12 |    .1256196    .0312869      4.02    0.000      .0640612     .1871781
  bfffpain13 |    .1062601    .0767323      1.38    0.167     -.0447144     .2572346
  bfffpain14 |   -.0001855    .0000999     -1.86    0.064     -.0003822     .0000111
  bfffpain15 |   -.0005183    .0006577     -0.79    0.431     -.0018123     .0007757
  bfffpain16 |    .0696623    .0111717      6.24    0.000      .0476814     .0916432
  bfffpain19 |    .0006123    .0006605      0.93    0.355     -.0006872     .0019118
  bfffpain21 |   -.0002321    .0000878     -2.64    0.009      -.000405    -.0000593
  bfffpain22 |    -.000139    .0000449     -3.09    0.002     -.0002274    -.0000506
  bfffpain26 |   -.0006823    .0001653     -4.13    0.000     -.0010075    -.0003571
  bfffpain27 |   -.0001094    .0000308     -3.55    0.000       -.00017    -.0000488
  bfffpain28 |    4.61e-06    1.36e-06      3.39    0.001      1.93e-06     7.28e-06
  bfffpain29 |    21.39832    3.513454      6.09    0.000      14.48543      28.3112
  bfffpain32 |    -11.2944    2.297041     -4.92    0.000     -15.81394    -6.774864
  bfffpain33 |    .6058237    .1431503      4.23    0.000      .3241686     .8874788
  bfffpain34 |    3.910537    1.107396      3.53    0.000      1.731681     6.089392
avgcumdosew3 |   -.1862173    .4308872     -0.43    0.666     -1.034008     .6615737
       _cons |   -10.98974    6.183161     -1.78    0.076      -23.1554     1.175929
-------------+----------------------------------------------------------------

.
. scalar fw3 = e(r2_a)

. scalar list fw3
       fw3 =  .63678289

.
.
. *---- Wave 3 analysis of Female Pain Model begins here
. scalar wv = 3

.
. matrix define H1p1FPnDosew3 = J(1,12,0)

. matrix  colnames H1p1FPnDosew3 = hypnum ptnum wv dsigfw3 dsigtw3 numMainEffsigFw3 numMainEffsigTw3 numModFw3 numModTw3 numbfsigfw3 numbfsigtw3 numMedw3

. matrix  rownames H1p1FPnDosew3 = wave3

. matlist H1p1FPnDosew3

   | hypnum    ptnum    wv    dsigfw3    dsigtw3    numMain~3    numMain~3    numModFw3    numModTw3    numbfsi~3    numbfsi~3
-------------+-------------------------------------------------------------------------------------------------------------------------
wave3   |         0            0            0            0            0            0            0            0            0            0            0

   | numMedw3
-------------+-----------
wave3   |         0

.
.
. // wave 3 trimmed model of possible socio-demog covariates Female model
.
. sw, pr(.05):  regress WHPpain age educ2-educ6 marrw31-marrw33   ///
>   emplw31-emplw33 occ2w3-occ7w3 inc1w3-inc4w3 if gender==2


  begin with full model


p = 0.9713 >= 0.0500  removing occ2w3


p = 0.9137 >= 0.0500  removing marrw32


p = 0.8685 >= 0.0500  removing inc4w3


p = 0.5880 >= 0.0500  removing marrw33


p = 0.5690 >= 0.0500  removing educ6


p = 0.6908 >= 0.0500  removing educ5


p = 0.5060 >= 0.0500  removing occ5w3


p = 0.4918 >= 0.0500  removing occ6w3


p = 0.5657 >= 0.0500  removing occ7w3


p = 0.5853 >= 0.0500  removing inc3w3


p = 0.5702 >= 0.0500  removing inc2w3


p = 0.3641 >= 0.0500  removing emplw33


p = 0.1990 >= 0.0500  removing marrw31


p = 0.1472 >= 0.0500  removing educ4


p = 0.1336 >= 0.0500  removing occ4w3


p = 0.0806 >= 0.0500  removing emplw32


      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F(  6,   356) =   22.78
       Model |  50066.6565     6  8344.44274           Prob > F      =  0.0000
    Residual |  130380.207   356  366.236537           R-squared     =  0.2775
-------------+------------------------------           Adj R-squared =  0.2653
       Total |  180446.864   362  498.471999           Root MSE      =  19.137

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .4706093    .0969939      4.85    0.000      .2798563     .6613622
       educ2 |    14.20595    4.163728      3.41    0.001       6.01735     22.39454
       educ3 |    8.151648    2.203084      3.70    0.000      3.818952     12.48434
      inc1w3 |    9.415547    2.954792      3.19    0.002      3.604506     15.22659
     emplw31 |   -7.813308    2.359417     -3.31    0.001     -12.45345    -3.173161
      occ3w3 |    8.230145     2.99349      2.75    0.006      2.342997     14.11729
       _cons |   -7.602792    5.600411     -1.36    0.175     -18.61684     3.411256
-------------+----------------------------------------------------------------

.
. regress  WHPpain age educ2-educ6 marrw31-marrw33 childw3 emplw31-emplw33 ///
>     occ2w3-occ7w3 inc1w3-inc4w3 avgcumdosew3 if gender==2

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 24,   338) =    6.19
       Model |  55086.8864    24  2295.28693           Prob > F      =  0.0000
    Residual |  125359.977   338  370.887506           R-squared     =  0.3053
-------------+------------------------------           Adj R-squared =  0.2560
       Total |  180446.864   362  498.471999           Root MSE      =  19.258

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .4130894     .109167      3.78    0.000       .198357     .6278218
       educ2 |    22.50001    12.01107      1.87    0.062     -1.125857     46.12588
       educ3 |    16.50246    11.59733      1.42    0.156     -6.309568     39.31449
       educ4 |    14.43594    12.21275      1.18    0.238     -9.586632     38.45851
       educ5 |    8.845371     11.8461      0.75    0.456     -14.45599     32.14673
       educ6 |    7.961411    11.63186      0.68    0.494     -14.91855     30.84137
     marrw31 |   -4.023982       4.925     -0.82    0.414     -13.71149     5.663528
     marrw32 |    .7354091     7.42427      0.10    0.921     -13.86818       15.339
     marrw33 |    1.290001    2.658255      0.49    0.628     -3.938805     6.518807
     childw3 |    .2472649    1.423956      0.17    0.862     -2.553666     3.048196
     emplw31 |   -12.69105    4.409419     -2.88    0.004     -21.36441    -4.017685
     emplw32 |   -11.38683    5.986434     -1.90    0.058     -23.16219     .3885296
     emplw33 |   -17.32449     19.5136     -0.89    0.375     -55.70789      21.0589
      occ2w3 |    .3331353    3.751815      0.09    0.929     -7.046712     7.712983
      occ3w3 |    8.835376     3.42817      2.58    0.010      2.092141     15.57861
      occ4w3 |    9.146284    7.176389      1.27    0.203     -4.969725     23.26229
      occ5w3 |    6.260175    8.959373      0.70    0.485     -11.36298     23.88333
      occ6w3 |    -6.87003    10.14708     -0.68    0.499     -26.82942     13.08936
      occ7w3 |   -3.306882    5.025054     -0.66    0.511      -13.1912     6.577436
      inc1w3 |    11.01045    4.692751      2.35    0.020      1.779778     20.24113
      inc2w3 |    3.433257    3.965813      0.87    0.387     -4.367526     11.23404
      inc3w3 |    2.414049    4.003426      0.60    0.547     -5.460719     10.28882
      inc4w3 |    1.027542    8.293047      0.12    0.901     -15.28494     17.34003
avgcumdosew3 |      .65196    .6014467      1.08    0.279     -.5310902      1.83501
       _cons |   -13.14409    14.23611     -0.92    0.357     -41.14662     14.85844
-------------+----------------------------------------------------------------

.  // avg cumulative dose is not a significant main effect in wave 3 either
.
.  local bfw3 bfffpain3 bfffpain7 bfffpain8 bfffpain9 bfffpain12 bfffpain13 ///
>     bfffpain14 bfffpain15 bfffpain16 bfffpain19 bfffpain21 bfffpain22 ///
>     bfffpain26 bfffpain27 bfffpain28 bfffpain29 bfffpain32 bfffpain33 ///
>     bfffpain34

. regress WHPpain age educ2-educ5 marrw31-marrw33 marrw35 childw3 ///
>   emplw32-emplw34 occ1w3-occ7w3  inc1w3-inc4w3 radhlw3 radchw3 ///
>   radtlw3 havmil `bfw3' avgcumdosew3 if gender==2

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 48,   314) =   14.22
       Model |  123596.047    48  2574.91764           Prob > F      =  0.0000
    Residual |  56850.8169   314  181.053557           R-squared     =  0.6849
-------------+------------------------------           Adj R-squared =  0.6368
       Total |  180446.864   362  498.471999           Root MSE      =  13.456

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .2006054    .0917017      2.19    0.029      .0201779     .3810328
       educ2 |    5.494481    3.342786      1.64    0.101      -1.08261     12.07157
       educ3 |    2.362242    1.849475      1.28    0.202     -1.276688     6.001172
       educ4 |    6.430872    3.272176      1.97    0.050     -.0072898     12.86903
       educ5 |   -.0601994    2.470084     -0.02    0.981     -4.920208     4.799809
     marrw31 |    .9661121    3.776446      0.26    0.798     -6.464226      8.39645
     marrw32 |    6.891136    5.431863      1.27    0.206     -3.796314     17.57859
     marrw33 |    4.136903      2.3186      1.78    0.075     -.4250522     8.698858
     marrw35 |    2.383149    3.426536      0.70    0.487     -4.358724     9.125021
     childw3 |    .7731541    1.018331      0.76    0.448     -1.230461     2.776769
     emplw32 |    3.993512    3.089506      1.29    0.197     -2.085238     10.07226
     emplw33 |   -9.480445    13.88675     -0.68    0.495     -36.80329      17.8424
     emplw34 |    .9752595    2.919222      0.33    0.739      -4.76845     6.718969
      occ1w3 |    1.291223     8.27058      0.16    0.876     -14.98154     17.56398
      occ2w3 |    5.718883    8.430373      0.68    0.498     -10.86828     22.30604
      occ3w3 |    .7321127    8.585602      0.09    0.932     -16.16047     17.62469
      occ4w3 |     2.02377    10.19934      0.20    0.843     -18.04392     22.09146
      occ5w3 |     9.94796    10.33796      0.96    0.337     -10.39246     30.28838
      occ6w3 |    3.377447    10.62451      0.32    0.751     -17.52678     24.28168
      occ7w3 |    4.876505    8.158436      0.60    0.550     -11.17561     20.92862
      inc1w3 |    2.920362     8.28312      0.35    0.725     -13.37707      19.2178
      inc2w3 |    .1141018    8.259248      0.01    0.989     -16.13636     16.36457
      inc3w3 |    2.257666    8.305028      0.27    0.786     -14.08287     18.59821
      inc4w3 |     7.78157    9.903408      0.79    0.433     -11.70386       27.267
     radhlw3 |     .023925    .0269048      0.89    0.375     -.0290115     .0768615
     radchw3 |   -.0242718    .0302821     -0.80    0.423     -.0838532     .0353096
     radtlw3 |    .0116754    .0314295      0.37    0.711     -.0501636     .0735145
      havmil |    .0000935     .003283      0.03    0.977     -.0063659     .0065529
   bfffpain3 |    .1497724    .0469435      3.19    0.002      .0574088      .242136
   bfffpain7 |    .0617725    .0711855      0.87    0.386     -.0782884     .2018333
   bfffpain8 |    1.952158    .2873146      6.79    0.000      1.386853     2.517463
   bfffpain9 |   -2.025335    .7644603     -2.65    0.008     -3.529448    -.5212232
  bfffpain12 |    .1256196    .0312869      4.02    0.000      .0640612     .1871781
  bfffpain13 |    .1062601    .0767323      1.38    0.167     -.0447144     .2572346
  bfffpain14 |   -.0001855    .0000999     -1.86    0.064     -.0003822     .0000111
  bfffpain15 |   -.0005183    .0006577     -0.79    0.431     -.0018123     .0007757
  bfffpain16 |    .0696623    .0111717      6.24    0.000      .0476814     .0916432
  bfffpain19 |    .0006123    .0006605      0.93    0.355     -.0006872     .0019118
  bfffpain21 |   -.0002321    .0000878     -2.64    0.009      -.000405    -.0000593
  bfffpain22 |    -.000139    .0000449     -3.09    0.002     -.0002274    -.0000506
  bfffpain26 |   -.0006823    .0001653     -4.13    0.000     -.0010075    -.0003571
  bfffpain27 |   -.0001094    .0000308     -3.55    0.000       -.00017    -.0000488
  bfffpain28 |    4.61e-06    1.36e-06      3.39    0.001      1.93e-06     7.28e-06
  bfffpain29 |    21.39832    3.513454      6.09    0.000      14.48543      28.3112
  bfffpain32 |    -11.2944    2.297041     -4.92    0.000     -15.81394    -6.774864
  bfffpain33 |    .6058237    .1431503      4.23    0.000      .3241686     .8874788
  bfffpain34 |    3.910537    1.107396      3.53    0.000      1.731681     6.089392
avgcumdosew3 |   -.1862173    .4308872     -0.43    0.666     -1.034008     .6615737
       _cons |   -10.98974    6.183161     -1.78    0.076      -23.1554     1.175929
-------------+----------------------------------------------------------------

.
.
.
. scalar numMainEffsigFw3 = 15

.
.
.   // manually trimmed to .10:
.
.
.
.    local bfw3 bfffpain3 bfffpain7 bfffpain8 bfffpain9 bfffpain12 bfffpain13 ///
>     bfffpain14 bfffpain15 bfffpain16 bfffpain19  bfffpain22 ///
>     bfffpain26 bfffpain27 bfffpain28 bfffpain29 bfffpain32 bfffpain33 ///
>     bfffpain34

. regress WHPpain age educ2-educ7 marrw31-marrw33 marrw35 childw3 ///
>   emplw32-emplw34 occ1w3-occ7w3  inc1w3-inc4w3 radhlw3 radchw3 ///
>   radtlw3 havmil `bfw3' avgcumdosew3 if gender==2

      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 49,   313) =   13.48
       Model |  122437.036    49  2498.71502           Prob > F      =  0.0000
    Residual |  58009.8277   313  185.334913           R-squared     =  0.6785
-------------+------------------------------           Adj R-squared =  0.6282
       Total |  180446.864   362  498.471999           Root MSE      =  13.614

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |     .192738    .0933003      2.07    0.040       .009163      .376313
       educ2 |    2.489049    14.61795      0.17    0.865     -26.27283     31.25093
       educ3 |   -.6491743    14.42696     -0.04    0.964     -29.03526     27.73691
       educ4 |    2.717063    14.63581      0.19    0.853     -26.07996     31.51408
       educ5 |   -2.789264    14.54388     -0.19    0.848     -31.40541     25.82688
       educ6 |   -3.095023    14.45762     -0.21    0.831     -31.54144     25.35139
       educ7 |   -10.47429    17.64404     -0.59    0.553     -45.19021     24.24163
     marrw31 |   -.6624571     3.88428     -0.17    0.865     -8.305058     6.980143
     marrw32 |    5.789274    5.494048      1.05    0.293     -5.020661     16.59921
     marrw33 |    3.592717    2.351448      1.53    0.128     -1.033926     8.219361
     marrw35 |    2.220132    3.477063      0.64    0.524     -4.621239     9.061503
     childw3 |    .6651596    1.034519      0.64    0.521      -1.37033     2.700649
     emplw32 |    4.117412    3.125992      1.32    0.189     -2.033203     10.26803
     emplw33 |    -9.35865    14.05258     -0.67    0.506      -37.0081      18.2908
     emplw34 |    .4088705    2.961964      0.14    0.890     -5.419006     6.236747
      occ1w3 |     1.74307    8.366436      0.21    0.835     -14.71849     18.20463
      occ2w3 |    6.123681    8.528115      0.72    0.473       -10.656     22.90336
      occ3w3 |    .9463457    8.686604      0.11    0.913     -16.14517     18.03786
      occ4w3 |    2.928847    10.31369      0.28    0.777     -17.36409     23.22178
      occ5w3 |    10.69057    10.45736      1.02    0.307     -9.885048     31.26618
      occ6w3 |    4.495235    10.74305      0.42    0.676     -16.64249     25.63296
      occ7w3 |    5.426373    8.256952      0.66    0.512     -10.81977     21.67252
      inc1w3 |    3.099519     8.38493      0.37    0.712     -13.39843     19.59747
      inc2w3 |    .0068392    8.359113      0.00    0.999     -16.44032       16.454
      inc3w3 |    2.251645    8.405733      0.27    0.789     -14.28724     18.79053
      inc4w3 |    8.154439    10.04494      0.81    0.418     -11.60971     27.91858
     radhlw3 |    .0224244    .0273278      0.82    0.413     -.0313451     .0761939
     radchw3 |   -.0252023    .0306975     -0.82    0.412     -.0856019     .0351973
     radtlw3 |    .0110243    .0318327      0.35    0.729     -.0516087     .0736574
      havmil |    .0001948    .0033233      0.06    0.953     -.0063441     .0067337
   bfffpain3 |    .1569793    .0477305      3.29    0.001      .0630661     .2508925
   bfffpain7 |    .0698373    .0719655      0.97    0.333       -.07176     .2114345
   bfffpain8 |    1.910643    .2915711      6.55    0.000      1.336956      2.48433
   bfffpain9 |   -1.999827    .7734906     -2.59    0.010     -3.521726    -.4779287
  bfffpain12 |      .12574    .0316626      3.97    0.000      .0634416     .1880385
  bfffpain13 |    .1080229    .0776563      1.39    0.165     -.0447714     .2608173
  bfffpain14 |   -.0001841    .0001011     -1.82    0.070     -.0003831     .0000149
  bfffpain15 |   -.0004925    .0006654     -0.74    0.460     -.0018018     .0008169
  bfffpain16 |    .0691367    .0113251      6.10    0.000      .0468536     .0914197
  bfffpain19 |    .0005185    .0006672      0.78    0.438     -.0007943     .0018313
  bfffpain22 |    -.000124    .0000456     -2.72    0.007     -.0002137    -.0000342
  bfffpain26 |   -.0006701    .0001672     -4.01    0.000     -.0009992     -.000341
  bfffpain27 |   -.0001085    .0000312     -3.48    0.001     -.0001698    -.0000472
  bfffpain28 |    4.44e-06    1.39e-06      3.20    0.002      1.71e-06     7.17e-06
  bfffpain29 |    21.66099    3.554376      6.09    0.000       14.6675     28.65448
  bfffpain32 |    -11.1174    2.324379     -4.78    0.000     -15.69078    -6.544014
  bfffpain33 |    .6017357    .1449057      4.15    0.000      .3166233     .8868482
  bfffpain34 |    3.879248    1.120406      3.46    0.001      1.674769     6.083727
avgcumdosew3 |   -.1301294    .4436343     -0.29    0.769     -1.003012      .742753
       _cons |   -7.281986    16.02503     -0.45    0.650     -38.81239     24.24842
-------------+----------------------------------------------------------------

.
.  // result:
.
.  regress WHPpain age educ2-educ7  bfffpain3 ///
>       bfffpain8-bfffpain12 bfffpain14 bfffpain16 ///
>       bfffpain21-bfffpain34 avgcumdosew3 if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     363
                                                       F( 26,   362) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.6870
                                                       Root MSE      =  12.984

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .2642201    .0684664      3.86    0.000      .1295782     .3988619
       educ2 |    10.18435    3.406269      2.99    0.003      3.485794     16.88291
       educ3 |    7.366582    2.565716      2.87    0.004      2.321001     12.41216
       educ4 |    11.15454    3.932469      2.84    0.005      3.421188     18.88789
       educ5 |    6.316485    2.562699      2.46    0.014      1.276838     11.35613
       educ6 |    5.228082    2.448383      2.14    0.033      .4132425     10.04292
       educ7 |   -1.916834    8.900954     -0.22    0.830     -19.42091     15.58724
   bfffpain3 |    .1230802    .0385623      3.19    0.002      .0472459     .1989146
   bfffpain8 |    1.698572    .3368328      5.04    0.000      1.036177     2.360966
   bfffpain9 |   -1.105709     .310253     -3.56    0.000     -1.715833    -.4955843
  bfffpain11 |    .0186909    .0094106      1.99    0.048      .0001846     .0371972
  bfffpain12 |    .1030104    .0227413      4.53    0.000      .0582888     .1477321
  bfffpain14 |   -.0002547    .0000471     -5.41    0.000     -.0003473    -.0001621
  bfffpain16 |    .1059307    .0144694      7.32    0.000       .077476     .1343853
  bfffpain21 |    -.000324    .0000813     -3.99    0.000     -.0004838    -.0001642
  bfffpain22 |   -.0001226     .000043     -2.85    0.005     -.0002071     -.000038
  bfffpain23 |    -.002612     .000528     -4.95    0.000     -.0036502    -.0015737
  bfffpain24 |   -.0054488    .0019768     -2.76    0.006     -.0093362    -.0015615
  bfffpain25 |    .0000457    .0000128      3.56    0.000      .0000205     .0000709
  bfffpain26 |   -.0006432    .0001015     -6.34    0.000     -.0008428    -.0004437
  bfffpain27 |   -.0000768    .0000188     -4.08    0.000     -.0001138    -.0000398
  bfffpain28 |    3.81e-06    1.24e-06      3.09    0.002      1.38e-06     6.24e-06
  bfffpain29 |    17.62047    3.792054      4.65    0.000      10.16325     25.07769
  bfffpain32 |   -9.925675    2.574852     -3.85    0.000     -14.98922    -4.862128
  bfffpain33 |    .6115375    .1195159      5.12    0.000      .3765049     .8465702
  bfffpain34 |    3.538414    .2847616     12.43    0.000      2.978419     4.098408
avgcumdosew3 |   -.1052353    .4490107     -0.23    0.815     -.9882323     .7777618
       _cons |   -10.08426    4.871599     -2.07    0.039     -19.66445     -.504067
-------------+----------------------------------------------------------------

.
.
.
.
.
.
.
.
.
.  local bfw3 bfffpain3 bfffpain7 bfffpain8 bfffpain9 bfffpain12 bfffpain13 ///
>     bfffpain14 bfffpain15 bfffpain16 bfffpain19 bfffpain21 bfffpain22 ///
>     bfffpain26 bfffpain27 bfffpain28 bfffpain29 bfffpain32 bfffpain33 ///
>     bfffpain34

.
. sw, pr(.1): regress WHPpain age educ2-educ5 marrw31-marrw33 marrw35 childw3 ///
>   emplw32-emplw34 occ1w3-occ7w3  inc1w3-inc4w3 radhlw3 radchw3 ///
>   radtlw3 havmil `bfw3'  avgcumdosew3 if gender==2


  begin with full model


p = 0.9890 >= 0.1000  removing inc2w3


p = 0.9810 >= 0.1000  removing educ5


p = 0.9761 >= 0.1000  removing havmil


p = 0.8103 >= 0.1000  removing occ3w3


p = 0.8033 >= 0.1000  removing marrw31


p = 0.7761 >= 0.1000  removing occ4w3


p = 0.7533 >= 0.1000  removing emplw34


p = 0.7332 >= 0.1000  removing radtlw3


p = 0.7141 >= 0.1000  removing occ1w3


p = 0.7116 >= 0.1000  removing avgcumdosew3


p = 0.6767 >= 0.1000  removing occ6w3


p = 0.5258 >= 0.1000  removing marrw35


p = 0.4754 >= 0.1000  removing radchw3


p = 0.4823 >= 0.1000  removing emplw33


p = 0.4197 >= 0.1000  removing radhlw3


p = 0.3957 >= 0.1000  removing bfffpain15


p = 0.3694 >= 0.1000  removing childw3


p = 0.3363 >= 0.1000  removing bfffpain7


p = 0.2505 >= 0.1000  removing marrw32


p = 0.2339 >= 0.1000  removing occ5w3


p = 0.2279 >= 0.1000  removing emplw32


p = 0.2139 >= 0.1000  removing inc4w3


p = 0.2034 >= 0.1000  removing bfffpain19


p = 0.2184 >= 0.1000  removing marrw33


p = 0.1739 >= 0.1000  removing educ3


p = 0.2593 >= 0.1000  removing educ2


p = 0.2043 >= 0.1000  removing inc3w3


p = 0.1376 >= 0.1000  removing bfffpain13


p = 0.1219 >= 0.1000  removing occ2w3


      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 19,   343) =   35.35
       Model |  119447.094    19  6286.68914           Prob > F      =  0.0000
    Residual |    60999.77   343  177.841895           R-squared     =  0.6620
-------------+------------------------------           Adj R-squared =  0.6432
       Total |  180446.864   362  498.471999           Root MSE      =  13.336

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .2248632    .0739994      3.04    0.003      .0793135     .3704128
  bfffpain21 |   -.0002157    .0000804     -2.68    0.008     -.0003739    -.0000575
  bfffpain26 |   -.0006886     .000159     -4.33    0.000     -.0010014    -.0003759
       educ4 |    5.575233     2.94371      1.89    0.059     -.2147627     11.36523
  bfffpain34 |      3.9392    .8949378      4.40    0.000      2.178944     5.699457
  bfffpain29 |    21.43914    2.969073      7.22    0.000      15.59926     27.27902
   bfffpain8 |    2.185328    .2376581      9.20    0.000      1.717877     2.652779
      inc1w3 |    3.836476    2.224281      1.72    0.085     -.5384711     8.211424
  bfffpain16 |     .071497    .0106485      6.71    0.000      .0505523     .0924416
   bfffpain9 |   -1.046484    .3849206     -2.72    0.007     -1.803586    -.2893816
  bfffpain33 |    .5703642    .1371641      4.16    0.000      .3005756     .8401528
  bfffpain14 |   -.0001809    .0000892     -2.03    0.043     -.0003565    -5.41e-06
  bfffpain27 |   -.0001107    .0000295     -3.75    0.000     -.0001688    -.0000527
  bfffpain22 |   -.0001079    .0000396     -2.72    0.007     -.0001859      -.00003
      occ7w3 |    3.295357    1.908815      1.73    0.085     -.4590993     7.049813
  bfffpain32 |   -11.22556    2.168913     -5.18    0.000     -15.49161    -6.959517
  bfffpain28 |    3.86e-06    1.24e-06      3.12    0.002      1.43e-06     6.30e-06
   bfffpain3 |    .1324656    .0439322      3.02    0.003      .0460551     .2188761
  bfffpain12 |      .10128    .0274027      3.70    0.000      .0473815     .1551784
       _cons |   -3.518382    3.913701     -0.90    0.369     -11.21626     4.179495
-------------+----------------------------------------------------------------

.
. scalar tw3bf = e(r2_a)

. scalar list tw3bf
     tw3bf =  .64322591

. scalar dsigfw3 = 0

. scalar numMainEffsigFw3 =16

.
.  local bfw3 bfffpain3 bfffpain7 bfffpain8 bfffpain9 bfffpain12 bfffpain13 ///
>     bfffpain14 bfffpain15 bfffpain16 bfffpain19 bfffpain21 bfffpain22 ///
>     bfffpain26 bfffpain27 bfffpain28 bfffpain29 bfffpain32 bfffpain33 ///
>     bfffpain34

.
. sw, pr(.1): regress WHPpain age educ2-educ5 marrw31-marrw33 marrw35 childw3 ///
>   emplw32-emplw34 occ1w3-occ7w3  inc1w3-inc4w3 radhlw3 radchw3 ///
>   radtlw3 havmil `bfw3' avgcumdosew3 if gender==2


  begin with full model


p = 0.9890 >= 0.1000  removing inc2w3


p = 0.9810 >= 0.1000  removing educ5


p = 0.9761 >= 0.1000  removing havmil


p = 0.8103 >= 0.1000  removing occ3w3


p = 0.8033 >= 0.1000  removing marrw31


p = 0.7761 >= 0.1000  removing occ4w3


p = 0.7533 >= 0.1000  removing emplw34


p = 0.7332 >= 0.1000  removing radtlw3


p = 0.7141 >= 0.1000  removing occ1w3


p = 0.7116 >= 0.1000  removing avgcumdosew3


p = 0.6767 >= 0.1000  removing occ6w3


p = 0.5258 >= 0.1000  removing marrw35


p = 0.4754 >= 0.1000  removing radchw3


p = 0.4823 >= 0.1000  removing emplw33


p = 0.4197 >= 0.1000  removing radhlw3


p = 0.3957 >= 0.1000  removing bfffpain15


p = 0.3694 >= 0.1000  removing childw3


p = 0.3363 >= 0.1000  removing bfffpain7


p = 0.2505 >= 0.1000  removing marrw32


p = 0.2339 >= 0.1000  removing occ5w3


p = 0.2279 >= 0.1000  removing emplw32


p = 0.2139 >= 0.1000  removing inc4w3


p = 0.2034 >= 0.1000  removing bfffpain19


p = 0.2184 >= 0.1000  removing marrw33


p = 0.1739 >= 0.1000  removing educ3


p = 0.2593 >= 0.1000  removing educ2


p = 0.2043 >= 0.1000  removing inc3w3


p = 0.1376 >= 0.1000  removing bfffpain13


p = 0.1219 >= 0.1000  removing occ2w3


      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 19,   343) =   35.35
       Model |  119447.094    19  6286.68914           Prob > F      =  0.0000
    Residual |    60999.77   343  177.841895           R-squared     =  0.6620
-------------+------------------------------           Adj R-squared =  0.6432
       Total |  180446.864   362  498.471999           Root MSE      =  13.336

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .2248632    .0739994      3.04    0.003      .0793135     .3704128
  bfffpain21 |   -.0002157    .0000804     -2.68    0.008     -.0003739    -.0000575
  bfffpain26 |   -.0006886     .000159     -4.33    0.000     -.0010014    -.0003759
       educ4 |    5.575233     2.94371      1.89    0.059     -.2147627     11.36523
  bfffpain34 |      3.9392    .8949378      4.40    0.000      2.178944     5.699457
  bfffpain29 |    21.43914    2.969073      7.22    0.000      15.59926     27.27902
   bfffpain8 |    2.185328    .2376581      9.20    0.000      1.717877     2.652779
      inc1w3 |    3.836476    2.224281      1.72    0.085     -.5384711     8.211424
  bfffpain16 |     .071497    .0106485      6.71    0.000      .0505523     .0924416
   bfffpain9 |   -1.046484    .3849206     -2.72    0.007     -1.803586    -.2893816
  bfffpain33 |    .5703642    .1371641      4.16    0.000      .3005756     .8401528
  bfffpain14 |   -.0001809    .0000892     -2.03    0.043     -.0003565    -5.41e-06
  bfffpain27 |   -.0001107    .0000295     -3.75    0.000     -.0001688    -.0000527
  bfffpain22 |   -.0001079    .0000396     -2.72    0.007     -.0001859      -.00003
      occ7w3 |    3.295357    1.908815      1.73    0.085     -.4590993     7.049813
  bfffpain32 |   -11.22556    2.168913     -5.18    0.000     -15.49161    -6.959517
  bfffpain28 |    3.86e-06    1.24e-06      3.12    0.002      1.43e-06     6.30e-06
   bfffpain3 |    .1324656    .0439322      3.02    0.003      .0460551     .2188761
  bfffpain12 |      .10128    .0274027      3.70    0.000      .0473815     .1551784
       _cons |   -3.518382    3.913701     -0.90    0.369     -11.21626     4.179495
-------------+----------------------------------------------------------------

.
. scalar numMainEffsigTw3 =16

. scalar numMedFw3 = 15

.
. scalar dsigtw3 = 0

.
. scalar tw3nobf = e(r2_a)

. scalar list tw3nobf
   tw3nobf =  .64322591

.
. scalar r2chabfw3 = tw3bf - tw3nobf

. scalar list r2chabfw3
 r2chabfw3 =          0

.
. scalar w3numbf = 15

. scalar numbfsigfw3 = 15

.
.  ********  Moderator search only if avgcumdosew3 is signifi which it is not as a main effect
.
.  scalar numModsigFw3 =0

.  scalar numModsigTw3=0

.
.  *---      Mediator Search from trimmed main effects model
.   local bfw3 bfffpain3 bfffpain7 bfffpain8 bfffpain9 bfffpain12 bfffpain13 ///
>     bfffpain14 bfffpain15 bfffpain16 bfffpain19 bfffpain21 bfffpain22 ///
>     bfffpain26 bfffpain27 bfffpain28 bfffpain29 bfffpain32 bfffpain33 ///
>     bfffpain34

.
. sw, pr(.1): regress WHPpain age educ2-educ5 marrw31-marrw33 marrw35 childw3 ///
>   emplw32-emplw34 occ1w3-occ7w3  inc1w3-inc4w3 radhlw3 radchw3  ///
>   radtlw3 havmil `bfw3' avgcumdosew3 if gender==2


  begin with full model


p = 0.9890 >= 0.1000  removing inc2w3


p = 0.9810 >= 0.1000  removing educ5


p = 0.9761 >= 0.1000  removing havmil


p = 0.8103 >= 0.1000  removing occ3w3


p = 0.8033 >= 0.1000  removing marrw31


p = 0.7761 >= 0.1000  removing occ4w3


p = 0.7533 >= 0.1000  removing emplw34


p = 0.7332 >= 0.1000  removing radtlw3


p = 0.7141 >= 0.1000  removing occ1w3


p = 0.7116 >= 0.1000  removing avgcumdosew3


p = 0.6767 >= 0.1000  removing occ6w3


p = 0.5258 >= 0.1000  removing marrw35


p = 0.4754 >= 0.1000  removing radchw3


p = 0.4823 >= 0.1000  removing emplw33


p = 0.4197 >= 0.1000  removing radhlw3


p = 0.3957 >= 0.1000  removing bfffpain15


p = 0.3694 >= 0.1000  removing childw3


p = 0.3363 >= 0.1000  removing bfffpain7


p = 0.2505 >= 0.1000  removing marrw32


p = 0.2339 >= 0.1000  removing occ5w3


p = 0.2279 >= 0.1000  removing emplw32


p = 0.2139 >= 0.1000  removing inc4w3


p = 0.2034 >= 0.1000  removing bfffpain19


p = 0.2184 >= 0.1000  removing marrw33


p = 0.1739 >= 0.1000  removing educ3


p = 0.2593 >= 0.1000  removing educ2


p = 0.2043 >= 0.1000  removing inc3w3


p = 0.1376 >= 0.1000  removing bfffpain13


p = 0.1219 >= 0.1000  removing occ2w3


      Source |       SS       df       MS              Number of obs =     363
-------------+------------------------------           F( 19,   343) =   35.35
       Model |  119447.094    19  6286.68914           Prob > F      =  0.0000
    Residual |    60999.77   343  177.841895           R-squared     =  0.6620
-------------+------------------------------           Adj R-squared =  0.6432
       Total |  180446.864   362  498.471999           Root MSE      =  13.336

-------------+----------------------------------------------------------------
      WHPpain |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .2248632    .0739994      3.04    0.003      .0793135     .3704128
  bfffpain21 |   -.0002157    .0000804     -2.68    0.008     -.0003739    -.0000575
  bfffpain26 |   -.0006886     .000159     -4.33    0.000     -.0010014    -.0003759
       educ4 |    5.575233     2.94371      1.89    0.059     -.2147627     11.36523
  bfffpain34 |      3.9392    .8949378      4.40    0.000      2.178944     5.699457
  bfffpain29 |    21.43914    2.969073      7.22    0.000      15.59926     27.27902
   bfffpain8 |    2.185328    .2376581      9.20    0.000      1.717877     2.652779
      inc1w3 |    3.836476    2.224281      1.72    0.085     -.5384711     8.211424
  bfffpain16 |     .071497    .0106485      6.71    0.000      .0505523     .0924416
   bfffpain9 |   -1.046484    .3849206     -2.72    0.007     -1.803586    -.2893816
  bfffpain33 |    .5703642    .1371641      4.16    0.000      .3005756     .8401528
  bfffpain14 |   -.0001809    .0000892     -2.03    0.043     -.0003565    -5.41e-06
  bfffpain27 |   -.0001107    .0000295     -3.75    0.000     -.0001688    -.0000527
  bfffpain22 |   -.0001079    .0000396     -2.72    0.007     -.0001859      -.00003
      occ7w3 |    3.295357    1.908815      1.73    0.085     -.4590993     7.049813
  bfffpain32 |   -11.22556    2.168913     -5.18    0.000     -15.49161    -6.959517
  bfffpain28 |    3.86e-06    1.24e-06      3.12    0.002      1.43e-06     6.30e-06
   bfffpain3 |    .1324656    .0439322      3.02    0.003      .0460551     .2188761
  bfffpain12 |      .10128    .0274027      3.70    0.000      .0473815     .1551784
       _cons |   -3.518382    3.913701     -0.90    0.369     -11.21626     4.179495
-------------+----------------------------------------------------------------

.
.  scalar FemPainDoseMedsw3 = "age illw3 phlthw3 radfmw3 hospw3 and radhlw3"

.  scalar numbfsigTw3 = 15

.
.  // age  and illw3 and physical health radhlw3 radfmw3 hospw3 are  possible mediators
.
. sem(avgcumdosew3->age)(age -> whppain) if gender==2,  nocapslatent

Endogenous variables


Observed:  age whppain


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -3739.1332
Iteration 1:   log likelihood = -3739.1332

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3739.1332

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   age <-         |
    avgcumdosew3 |    1.058366    .3502924      3.02    0.003      .3718061     1.744927
           _cons |    48.94293    .7447571     65.72    0.000      47.48323     50.40263
  ---------------+----------------------------------------------------------------
   whppain <-     |
             age |    .7333239    .0909308      8.06    0.000      .5551028     .9115451
           _cons |    -18.8122    4.691527     -4.01    0.000     -28.00742    -9.616977
-----------------+----------------------------------------------------------------
 Variance         |
           e.age |    137.0097    10.16981                    118.4593      158.465
       e.whppain |     421.567    31.29164                    364.4891     487.5832
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      2.82, Prob > chi2 = 0.0929

. sem(avgcumdosew3->inc4w3)(inc4w3->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  inc4w3 whppain


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -2178.6586
Iteration 1:   log likelihood = -2178.6586

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2178.6586

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   inc4w3 <-      |
    avgcumdosew3 |    .0007104    .0043933      0.16    0.872     -.0079004     .0093211
           _cons |    .0211848    .0093406      2.27    0.023      .0028776     .0394921
  ---------------+----------------------------------------------------------------
   whppain <-     |
          inc4w3 |    -10.8277    7.950764     -1.36    0.173     -26.41091     4.755515
           _cons |     18.2502    1.180322     15.46    0.000      15.93681     20.56359
-----------------+----------------------------------------------------------------
 Variance         |
        e.inc4w3 |    .0215513    .0015997                    .0186334     .0249262
       e.whppain |     494.572    36.71057                    427.6095     572.0205
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      7.40, Prob > chi2 = 0.0065

. sem(avgcumdosew3->illw3)(illw3->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  illw3 whppain


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -2899.5994
Iteration 1:   log likelihood = -2899.5994

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2899.5994

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   illw3 <-       |
    avgcumdosew3 |    .1284565    .0341324      3.76    0.000      .0615584     .1953547
           _cons |    .5563644    .0725688      7.67    0.000      .4141321     .6985968
  ---------------+----------------------------------------------------------------
   whppain <-     |
           illw3 |    6.774775    .9416735      7.19    0.000      4.929128     8.620421
           _cons |    13.19644    1.283149     10.28    0.000      10.68152     15.71137
-----------------+----------------------------------------------------------------
 Variance         |
         e.illw3 |    1.300836    .0965571                    1.124709     1.504543
       e.whppain |     435.064    32.29348                    376.1586     503.1937
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      2.28, Prob > chi2 = 0.1309

. sem(avgcumdosew3->phlthw3)(phlthw3->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  phlthw3 whppain


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood =  -3905.879
Iteration 1:   log likelihood =  -3905.879

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =  -3905.879

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   phlthw3 <-     |
    avgcumdosew3 |   -1.596683    .5946571     -2.69    0.007      -2.76219    -.4311767
           _cons |     67.2054    1.264301     53.16    0.000      64.72741     69.68338
  ---------------+----------------------------------------------------------------
   whppain <-     |
         phlthw3 |   -.5692869    .0500792    -11.37    0.000     -.6674403    -.4711335
           _cons |    55.17832    3.420453     16.13    0.000      48.47436     61.88229
-----------------+----------------------------------------------------------------
 Variance         |
       e.phlthw3 |    394.8419    29.30791                    341.3824      456.673
       e.whppain |     366.594    27.21116                    316.9591     424.0015
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      2.44, Prob > chi2 = 0.1182

. sem(avgcumdosew3->radhlw3)(radhlw3->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  radhlw3 whppain


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -4149.4532
Iteration 1:   log likelihood = -4149.4532

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4149.4532

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radhlw3 <-     |
    avgcumdosew3 |    2.751602    1.027538      2.68    0.007      .7376654     4.765539
           _cons |    57.70689    2.184649     26.41    0.000      53.42506     61.98873
  ---------------+----------------------------------------------------------------
   whppain <-     |
         radhlw3 |    .1505805    .0328119      4.59    0.000      .0862705     .2148906
           _cons |    8.824084    2.302657      3.83    0.000       4.31096     13.33721
-----------------+----------------------------------------------------------------
 Variance         |
       e.radhlw3 |    1178.923    87.50785                    1019.303     1363.539
       e.whppain |    469.8393    34.87474                    406.2255     543.4147
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.64, Prob > chi2 = 0.0312

. sem(avgcumdosew3-> radfmw3)(radfmw3->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  radfmw3 whppain


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -4136.1112
Iteration 1:   log likelihood = -4136.1112

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4136.1112

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radfmw3 <-     |
    avgcumdosew3 |    2.423642    .9998022      2.42    0.015      .4640659     4.383218
           _cons |    65.65475    2.125681     30.89    0.000       61.4885     69.82101
  ---------------+----------------------------------------------------------------
   whppain <-     |
         radfmw3 |    .1781639    .0334654      5.32    0.000      .1125729     .2437549
           _cons |    5.795318    2.556485      2.27    0.023         .7847     10.80594
-----------------+----------------------------------------------------------------
 Variance         |
       e.radfmw3 |    1116.138    82.84757                    965.0192     1290.923
       e.whppain |    461.0964    34.22578                    398.6664     533.3027
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.59, Prob > chi2 = 0.0321

. sem(avgcumdosew3-> radchw3)(radchw3->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  radchw3 whppain


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -4161.3265
Iteration 1:   log likelihood = -4161.3265

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4161.3265

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radchw3 <-     |
    avgcumdosew3 |    1.497864    1.033363      1.45    0.147     -.5274916     3.523219
           _cons |     59.6792    2.197035     27.16    0.000      55.37309     63.98531
  ---------------+----------------------------------------------------------------
   whppain <-     |
         radchw3 |     .030779    .0337536      0.91    0.362     -.0353768     .0969348
           _cons |     16.1193    2.381707      6.77    0.000      11.45124     20.78736
-----------------+----------------------------------------------------------------
 Variance         |
       e.radchw3 |    1192.329    88.50296                    1030.894     1379.044
       e.whppain |    495.9627    36.81381                     428.812      573.629
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      6.98, Prob > chi2 = 0.0082

. sem(avgcumdosew3-> radtlw3)(radtlw3->whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  radtlw3 whppain


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -4164.2217
Iteration 1:   log likelihood = -4164.2217

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4164.2217

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radtlw3 <-     |
    avgcumdosew3 |     1.24609    1.041929      1.20    0.232      -.796054     3.288233
           _cons |    63.70355    2.215247     28.76    0.000      59.36174     68.04535
  ---------------+----------------------------------------------------------------
   whppain <-     |
         radtlw3 |    .0340768    .0334975      1.02    0.309     -.0315771     .0997308
           _cons |    15.78972    2.477037      6.37    0.000      10.93482     20.64463
-----------------+----------------------------------------------------------------
 Variance         |
       e.radtlw3 |    1212.178    89.97628                    1048.055     1402.001
       e.whppain |    495.6856    36.79324                    428.5724     573.3086
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      7.00, Prob > chi2 = 0.0081

. sem(avgcumdosew3 -> hospw3)(hospw3-> whppain) if gender==2, nocapslatent

Endogenous variables


Observed:  hospw3 whppain


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -3922.6569
Iteration 1:   log likelihood = -3922.6569

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3922.6569

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   hospw3 <-      |
    avgcumdosew3 |    1.269009    .5734168      2.21    0.027      .1451329     2.392886
           _cons |    7.882615    1.219142      6.47    0.000       5.49314     10.27209
  ---------------+----------------------------------------------------------------
   whppain <-     |
          hospw3 |    .4168641    .0565826      7.37    0.000      .3059642      .527764
           _cons |    14.08983     1.21435     11.60    0.000      11.70975     16.46991
-----------------+----------------------------------------------------------------
 Variance         |
        e.hospw3 |    367.1392    27.25163                    317.4305     424.6322
       e.whppain |    432.4381    32.09857                    373.8883     500.1567
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.21, Prob > chi2 = 0.0402

.
. scalar numMedPainDoseFsigw3 =6

.
. matrix define FemaleWHPpainr2w3 = ( fw3 , tw3bf, tw3nobf, w3numbf, r2chabfw3)

. matrix colnames FemaleWHPpainr2w3 = FullBFR2a TR2aBF  TR2aNoBF  NumBF  BFR2cha

. matrix rownames FemaleWHPpainr2w3 = wave2

. matlist FemaleWHPpainr2w3

   | FullBFR2a    TR2aBF    TR2aNoBF    NumBF    BFR2cha
-------------+-------------------------------------------------------
wave2   |  .6367829     .6432259     .6432259           15            0

.
. matrix define  FemaleWHPpainr2 = (FemaleWHPpainr2w1 \ FemaleWHPpainr2w2 \ FemaleWHPpainr2w3 )

. matlist FemaleWHPpainr2

   | FullBFR2a    TR2aBF    TR2aNoBF    NumBF    BFR2cha
-------------+-------------------------------------------------------
wave1   |  .4791464     .4667625     .2066858            4     .2600767
wave2   |  .5774594     .5804982     .5936084            9    -.0131102
wave2   |  .6367829     .6432259     .6432259           15            0

.
.
.
.
.
.
.
. matrix define H1p1FPnDosew3 = J(1,12,0)

. matrix  colnames H1p1FPnDosew3 = hypnum ptnum wv dsigfw3 dsigtw3 numMainEffsigFw3 numMainEffsigTw3 numModFw3 numModTw3 numbfsigfw3 numbfsigtw3 numMedw3

. matrix  rownames H1p1FPnDosew3 = wave3

. matlist H1p1FPnDosew3

   | hypnum    ptnum    wv    dsigfw3    dsigtw3    numMain~3    numMain~3    numModFw3    numModTw3    numbfsi~3    numbfsi~3
-------------+-------------------------------------------------------------------------------------------------------------------------
wave3   |         0            0            0            0            0            0            0            0            0            0            0

   | numMedw3
-------------+-----------
wave3   |         0

.
.
. *----- Legend-----------------------------------------------------------------------------------
. * legend: hyp =  hypothesis
. *         pt = part of hypothesis
. *         wv = wave
. *         dsigfw3  =  is dose signififcant in full main effects model = 1 if yes, 0 otherwise
. *         dsigtw3 =   is dose signif in trimmed main effects model = 1 if yes, 0 otherwise
. *         numMainEffsigFwx  =  number of sig main effects in full model in wave x
. *         numMainEffsigTw3  =      "                    "     trimmed "    "    3
. *         numModFw3 =   number of moderating effects in full wave 3 model
. *         numMOdTw3 =   number of moderating effects in trimmed model in wave 3
. *         numbfsigfw3 = number of basis functions significant in full wave 3 model
. *         numbfsigtw3 = number of basis functions significant in trimmedl wave 3 model
. *         numMedw3 = number of possible mediators in wave3
.
.
. matrix define H1p1FPnDosew3 = (hyp, pt, wv, dsigfw3, dsigtw3, numMainEffsigFw3, numMainEffsigTw3, numModsigFw3, numModsigTw3,numbfsigfw3,numbfsigTw3, numMedFw3)

. matrix  colnames H1p1FPnDosew3 = hypnum ptnum wv dsigfw3 dsigtw3 numMainEffsigFw3 numMainEffsigTw3 numModFw3 numModTw3 numbfsigfw3 numbfsigtw3 numMedw3

. matrix  rownames H1p1FPnDosew3 = wave3

. matlist H1p1FPnDosew3

   | hypnum    ptnum    wv    dsigfw3    dsigtw3    numMain~3    numMain~3    numModFw3    numModTw3    numbfsi~3    numbfsi~3
-------------+-------------------------------------------------------------------------------------------------------------------------
wave3   |         1            1            3            0            0           16           16            0            0           15           15

   | numMedw3
-------------+-----------
wave3   |        15

.
. matrix define H1p1FPnDose = ( H1p1FPnDosew1 \ H1p1FPnDosew2 \ H1p1FPnDosew3 )

. matlist H1p1FPnDose

   | hypnum    ptnum    wv    dsigfw1    dsigtw1    numMain~1    numMain~1    numModFw1    numModTw1    numbfsi~1    numbfsi~1
-------------+-------------------------------------------------------------------------------------------------------------------------
wave1   |         1            1            1            0            3            5            5            0            1            1            2
wave2   |         1            1            2            0            0            8            5            2            3            9            0
wave3   |         1            1            3            0            0           16           16            0            0           15           15

   | numMedw1
-------------+-----------
wave1   |         2
wave2   |         1
wave3   |        15

.
. cap svmat H1p1FPnDose

.  sjlog close, replace