. set more off

. pwd
/Users/robertyaffee/Documents/data/research/chwk/phase3/Htests/H1tests/H1pt1/work

. di c(filename)
chwide26june2012.dta

. di "$User"


.
. cd /Users/robertyaffee/Documents/data/research/chwk/phase3/Htests/H1tests/H1pt1/work
/Users/robertyaffee/Documents/data/research/chwk/phase3/Htests/H1tests/H1pt1/work

. use chwide25june2012, clear
(Zero for missing on all icdx)

. save chwide25june2012, replace
file chwide25june2012.dta saved

.
. di c(machine_type)
Macintosh (Intel 64-bit)

. di c(os)
MacOSX

. di c(osdtl)
10.6.8

.
.
.
. title "Hypothesis 1 part 1  gender==2  Female Dose => Energy Level Analysis"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****Hypothesis 1 part 1  gender==2  Female Dose => Energy Level Analysis *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:35  *****
*******************************************************************************
*******************************************************************************


. /*
>
>               storage  display     value
> variable name   type   format      label      variable label
> --------------------------------------------------------------------------------------------------------------------------------------------
> bffel1          float  %9.0g                   max(0, BSIdep-8)
> bffel2          float  %9.0g                   max(0, BSIdep-15)
> bffel3          float  %9.0g                  max(0, 23-BSIsoma)
> bffel4          float  %9.0g                  max(0, phlthw3 - 40)
>
> . */
.
.
.
. title "Wave one Female full dose energy level response model"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****       Wave one Female full dose energy level response model         *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:35  *****
*******************************************************************************
*******************************************************************************


.
.
. set more off

. des WHPel age educ2-educ7 marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 radhlw1 radchw1 ///
>   radtlw1 havmil bfmEL2 bfmEL4 bfmEL16 ///
>      dvcew1 sepaw1 ///
>     shhlw1 shhousw1 phlthw1 suprtw1 fdferw1 healthef carcin  ///
>     dafter near chsize  icdxcnt

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


WHPel             double   %9.0g                        Wtd Health Profile Pt 1 Energy Level 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


bfmEL2            float    %9.0g                         max(0, 21928 - BSIsoma)


bfmEL4            float    %9.0g                         max(0, 21988 - BSIposymp)


bfmEL16           float    %9.0g                         max(0, 22136 - kmacc)


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


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


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


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


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


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


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


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)


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


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


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


icdxcnt           byte     %9.0g                        count of icdx illnesses


.
. regress WHPel age educ2-educ7 marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 radhlw1 radchw1 ///
>   radtlw1 havmil bffel1 bffel2 bffel3 bffel4 dvcew1 sepaw1 ///
>    shhlw1 shhousw1 phlthw1 healthef suprtw1 fdferw1 carcin ///
>    dafter near chsize polprw1 icdxcnt if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     350
                                                       F( 49,   349) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.5619
                                                       Root MSE      =  24.793

(Std. Err. adjusted for 350 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .3581802    .2304314      1.55    0.121     -.0950287     .8113892
       educ2 |   -3.176513     10.1981     -0.31    0.756     -23.23398     16.88095
       educ3 |   -6.076206    9.697939     -0.63    0.531     -25.14996     12.99755
       educ4 |   -1.748818    11.36909     -0.15    0.878     -24.10937     20.61174
       educ5 |   -6.556705     10.3202     -0.64    0.526     -26.85431      13.7409
       educ6 |   -13.12787    9.664623     -1.36    0.175      -32.1361     5.880362
       educ7 |   -13.53476    10.67858     -1.27    0.206     -34.53723     7.467717
     marrw11 |   -3.268576    8.489334     -0.39    0.700     -19.96527     13.42812
     marrw12 |    19.91573    20.37538      0.98    0.329     -20.15825     59.98972
     marrw13 |   -1.370632    8.654092     -0.16    0.874     -18.39137      15.6501
     marrw15 |    3.021799    14.34355      0.21    0.833     -25.18887     31.23247
     childw1 |   -.5707146    2.723264     -0.21    0.834     -5.926788     4.785359
     emplw12 |   -17.96331    8.551707     -2.10    0.036     -34.78268    -1.143948
     emplw13 |   -4.910494    10.01517     -0.49    0.624     -24.60818      14.7872
     emplw14 |   -28.42647    11.12458     -2.56    0.011     -50.30612    -6.546818
     emplw15 |   -27.52797    18.80301     -1.46    0.144     -64.50945       9.4535
     emplw16 |   -13.27984    9.334385     -1.42    0.156     -31.63856     5.078882
      occ1w1 |    23.06973    11.80577      1.95    0.051      -.149678     46.28914
      occ2w1 |    27.45263    12.16734      2.26    0.025      3.522092     51.38317
      occ3w1 |    28.43124    12.11925      2.35    0.020      4.595284     52.26719
      occ4w1 |    9.814561    14.19879      0.69    0.490     -18.11139     37.74051
      occ5w1 |    29.85758    13.17105      2.27    0.024      3.952959     55.76221
      occ6w1 |    18.54252    13.53064      1.37    0.171     -8.069329     45.15436
      occ7w1 |    17.91627    12.94302      1.38    0.167     -7.539867     43.37241
      occ8w1 |    34.32098    11.99587      2.86    0.004      10.72769     57.91428
      inc1w1 |   -16.55154    11.02627     -1.50    0.134     -38.23784     5.134768
      inc2w1 |   -16.28091    10.38545     -1.57    0.118     -36.70685     4.145039
      inc3w1 |   -14.35312    10.40721     -1.38    0.169     -34.82185     6.115619
      inc4w1 |   -8.570411    11.74561     -0.73    0.466      -31.6715     14.53068
     radhlw1 |     .032698    .0501006      0.65    0.514     -.0658392     .1312351
     radchw1 |   -.0810577    .0508193     -1.60    0.112     -.1810083     .0188929
     radtlw1 |    .1196773    .0570859      2.10    0.037      .0074015      .231953
      havmil |   -.0166635     .003645     -4.57    0.000     -.0238325    -.0094946
      bffel1 |    1.427263    .8046789      1.77    0.077     -.1553668     3.009893
      bffel2 |   -1.820147     1.70863     -1.07    0.287     -5.180655      1.54036
      bffel3 |   -2.616717     .425491     -6.15    0.000     -3.453566    -1.779868
      bffel4 |   -.6361129    .0984763     -6.46    0.000     -.8297946    -.4424313
      dvcew1 |     5.77235    10.84434      0.53    0.595     -15.55613     27.10083
      sepaw1 |   -5.010019    11.94655     -0.42    0.675     -28.50632     18.48628
      shhlw1 |   -.1221177    .0603823     -2.02    0.044     -.2408766    -.0033587
    shhousw1 |    .0894347    .0571508      1.56    0.119     -.0229685     .2018379
     phlthw1 |    .0927782    .0829149      1.12    0.264     -.0702975     .2558538
    healthef |   -.1076179    .1706571     -0.63    0.529     -.4432637      .228028
     suprtw1 |    .0585543    .0552135      1.06    0.290     -.0500387     .1671473
     fdferw1 |    .0288636    .0459341      0.63    0.530      -.061479     .1192061
      carcin |    .0401806    .1674621      0.24    0.811     -.2891812     .3695423
      dafter |    .1095747    .3658742      0.30    0.765     -.6100211     .8291705
        near |    .0038776    .0471381      0.08    0.934     -.0888329     .0965881
      chsize |    .1234944    .0583914      2.11    0.035      .0086512     .2383376
     polprw1 |   -.1082472    .0520369     -2.08    0.038     -.2105925    -.0059019
     icdxcnt |    .0562743    .7585439      0.07    0.941     -1.435618     1.548167
       _cons |     59.3146    22.06628      2.69    0.008      15.91499     102.7142
-------------+----------------------------------------------------------------

.
. scalar fw1 = e(r2_a)

. scalar list fw1
       fw1 =  .48697432

. *  R^2 for full model wave 1
.
. title "wave 1 trimmed Female model with basis functions"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****          wave 1 trimmed Female model with basis functions           *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:35  *****
*******************************************************************************
*******************************************************************************


.
. set more off

. des WHPel age educ2-educ7 marrw11-marrw13 marrw15 childw1 ///
>   emplw12-emplw16 occ1w1-occ8w1 inc1w1-inc4w1 radhlw1 radchw1 ///
>   radtlw1 havmil bffel1-bffel4  sufamw1 mhlthw1 polprw1 BSIdep PTSDw1 BSIsoma ///
>    havmil bffel3-bffel4 chsize

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


WHPel             double   %9.0g                        Wtd Health Profile Pt 1 Energy Level 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


bffel1            float    %9.0g                         max(0, BSIdep-8)


bffel2            float    %9.0g                         max(0, BSIdep-15)


bffel3            float    %9.0g                        max(0, 23-BSIsoma)


bffel4            float    %9.0g                        max(0, phlthw3 - 40)


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


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


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


BSIdep            byte     %9.0g                        Basic symptom inventory Depression subscale


PTSDw1            byte     %9.0g                        Average PTSD level in percent in wave 1


BSIsoma           byte     %9.0g                        Basic symptom inventory obsessive compulsive subscale


havmil            double   %9.0g                        Distance from Chornobyl in miles


bffel3            float    %9.0g                        max(0, 23-BSIsoma)


bffel4            float    %9.0g                        max(0, phlthw3 - 40)


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


.
. // Proper model trimming leads to this model
. set more off

.  regress WHPel age   ///
>   occ1w1-occ8w1  aborw1 sufamw1  ///
>    mhlthw1 polprw1 BSIdep PTSDw1 BSIsoma ///
>    havmil bffel3-bffel4 chsize  ///
>    if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     362
                                                       F( 20,   361) =   26.96
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.5441
                                                       Root MSE      =  23.934

(Std. Err. adjusted for 362 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .3548024    .1807147      1.96    0.050     -.0005834     .7101881
      occ1w1 |    6.356939    5.547726      1.15    0.253     -4.552981     17.26686
      occ2w1 |    13.78803    6.353217      2.17    0.031       1.29407       26.282
      occ3w1 |    10.19734    6.687232      1.52    0.128     -2.953482     23.34816
      occ4w1 |   -4.351233    9.478563     -0.46    0.646     -22.99137      14.2889
      occ5w1 |    14.30527    7.799833      1.83    0.067     -1.033551     29.64408
      occ6w1 |    5.418764    8.604011      0.63    0.529     -11.50151     22.33904
      occ7w1 |    9.870142    7.123611      1.39    0.167     -4.138845     23.87913
      occ8w1 |    18.26142    5.586413      3.27    0.001      7.275417     29.24742
      aborw1 |   -3.334419    1.199607     -2.78    0.006     -5.693516    -.9753226
     sufamw1 |    .1373661    .0561722      2.45    0.015      .0269003     .2478319
     mhlthw1 |     .139497    .0685513      2.03    0.043       .004687     .2743071
     polprw1 |   -.0701861    .0403543     -1.74    0.083     -.1495452      .009173
      BSIdep |    .7929998    .4403479      1.80    0.073     -.0729695     1.658969
      PTSDw1 |    .1184992      .04486      2.64    0.009      .0302795      .206719
     BSIsoma |   -2.950011    1.465183     -2.01    0.045     -5.831378    -.0686447
      havmil |   -.0168667    .0043287     -3.90    0.000     -.0253794     -.008354
      bffel3 |   -5.812855    1.623438     -3.58    0.000     -9.005438    -2.620273
      bffel4 |   -.5318201     .085265     -6.24    0.000     -.6994985    -.3641416
      chsize |    .1118328    .0479726      2.33    0.020      .0174918     .2061737
       _cons |    87.40266    37.82631      2.31    0.021      13.01506     161.7903
-------------+----------------------------------------------------------------

.
.
. // Construction of a matrix for scalar storage for each retreival
.
. matrix define FemaleWHPelr2 = J(4,7,0)

. matrix colnames FemaleWHPelr2 = FullBFR2a TR2aBF  TR2aNoBF  NumBF  BFR2cha NumMods NumMeds

. matrix rownames FemaleWHPelr2 = wave1  wave2  wave3  avg

. matlist FemaleWHPelr2

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

.
.
.
. scalar tw1bf = e(r2_a)

. scalar list tw1bf
     tw1bf =  .51733462

. scalar list
W2FemaleELmed = age radfmw3 BSIanx BSIdep icdxcnt radhlw3 illw3 and Hp2sxlife
 numMedsw3 =          8
 numModsw3 =          0
  avgImpBF =  .11029749
 r2chabfw3 =  .22059497
   w3numbf =          2
   tw3bfw3 =  .47297697
W2FemaleELMed = age and radfmw2 radhlw2 radchw2 illw2 BSIanx BSIdep icdxcnt hp2sxlife
   tw3nobf =  .27136786
     tw3bf =  .49196283
    fw3wbf =   .5038513
 numMedsw2 =          9
   tw2bfw2 =  .48481206
avgImpBFw2 = -.00825204
 r2chabfw2 = -.01650409
 NumMedsw2 =          9
 numModsw2 =          0
 w2numbfw2 =          2
 tw2nobfw2 =  .48481206
  tw2wbfw2 =  .46830797
  fw2wbfw2 =  .49768384
W1numMELMeds =          8
W1FemaleELMed = age icdxcnt BSIdep depagw1 BSIanx anxagw1 PTSDw1 HP2sxlife
w1numMElMeds =          2
w1nuFemaleElmods =          0
avgImpBFw1 =  .04665114
   w1numbf =          2
   r2chabf =  .09330229
   tw1nobf =  .42403233
     tw1bf =  .51733462
       fw1 =  .48697432

.
. * tw1bf  r2 for trimmed model with basis functions
.
. set more off

. regress WHPel age   ///
>   occ1w1-occ8w1  aborw1 sufamw1  ///
>    mhlthw1 polprw1 BSIdep PTSDw1 BSIsoma ///
>    havmil chsize  ///
>    if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     362
                                                       F( 18,   361) =   16.38
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4528
                                                       Root MSE      =  26.145

(Std. Err. adjusted for 362 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .6474675    .1862775      3.48    0.001      .2811421     1.013793
      occ1w1 |    4.291956    6.365131      0.67    0.501     -8.225438     16.80935
      occ2w1 |    13.09096    7.218977      1.81    0.071     -1.105573     27.28749
      occ3w1 |    12.70651    7.837041      1.62    0.106     -2.705478      28.1185
      occ4w1 |   -.0714026    9.482339     -0.01    0.994     -18.71896     18.57616
      occ5w1 |    6.970517    9.796574      0.71    0.477       -12.295     26.23604
      occ6w1 |    8.294908    9.172062      0.90    0.366     -9.742476     26.33229
      occ7w1 |    12.34567    8.113512      1.52    0.129     -3.610017     28.30135
      occ8w1 |    17.69577    6.507772      2.72    0.007      4.897866     30.49368
      aborw1 |   -4.670512    1.472417     -3.17    0.002     -7.566104    -1.774919
     sufamw1 |    .1371705     .069259      1.98    0.048      .0009687     .2733724
     mhlthw1 |     .027576    .0712396      0.39    0.699     -.1125207     .1676726
     polprw1 |   -.0471945    .0436499     -1.08    0.280     -.1330346     .0386456
      BSIdep |    1.200387    .4741899      2.53    0.012      .2678658     2.132909
      PTSDw1 |    .1466054    .0474874      3.09    0.002      .0532188     .2399921
     BSIsoma |    2.477549    .4290329      5.77    0.000      1.633831     3.321267
      havmil |   -.0128881    .0032789     -3.93    0.000     -.0193362      -.00644
      chsize |    .1264834    .0509502      2.48    0.014      .0262869     .2266799
       _cons |   -67.61545    12.68281     -5.33    0.000     -92.55692    -42.67399
-------------+----------------------------------------------------------------

.
.
.
.
.
.
.
. scalar tw1nobf = e(r2_a)

.
. // r2 for trimmed model without basis functions = .183
. scalar r2chabf = tw1bf-tw1nobf

. * R^ change due to basis functions
. scalar list
W2FemaleELmed = age radfmw3 BSIanx BSIdep icdxcnt radhlw3 illw3 and Hp2sxlife
 numMedsw3 =          8
 numModsw3 =          0
  avgImpBF =  .11029749
 r2chabfw3 =  .22059497
   w3numbf =          2
   tw3bfw3 =  .47297697
W2FemaleELMed = age and radfmw2 radhlw2 radchw2 illw2 BSIanx BSIdep icdxcnt hp2sxlife
   tw3nobf =  .27136786
     tw3bf =  .49196283
    fw3wbf =   .5038513
 numMedsw2 =          9
   tw2bfw2 =  .48481206
avgImpBFw2 = -.00825204
 r2chabfw2 = -.01650409
 NumMedsw2 =          9
 numModsw2 =          0
 w2numbfw2 =          2
 tw2nobfw2 =  .48481206
  tw2wbfw2 =  .46830797
  fw2wbfw2 =  .49768384
W1numMELMeds =          8
W1FemaleELMed = age icdxcnt BSIdep depagw1 BSIanx anxagw1 PTSDw1 HP2sxlife
w1numMElMeds =          2
w1nuFemaleElmods =          0
avgImpBFw1 =  .04665114
   w1numbf =          2
   r2chabf =  .09330229
   tw1nobf =  .42403233
     tw1bf =  .51733462
       fw1 =  .48697432

. scalar w1numbf= 2

.
. scalar avgImpBFw1 = r2chabf/w1numbf

. * avgImpBF = average improvement per basis function
.
.
.
. scalar w1nuFemaleElmods=0

. scalar w1numMElMeds=2

. *
. matrix define FemaleWHPelr2w1 = (fw1, tw1bf, tw1nobf, w1numbf,  r2chabf, avgImpBFw1, w1nuFemaleElmods, w1numMElMeds)

. matrix colnames FemaleWHPelr2w1 = FullBFR2a TR2aBF  TR2aNoBF  NumBF  BFR2cha  AvgImpBF  w1numMods w1numMeds

. matrix rownames FemaleWHPelr2w1 = wave1

. matlist FemaleWHPelr2w1

   | FullBFR2a    TR2aBF    TR2aNoBF    NumBF    BFR2cha    AvgImpBF    w1numMods    w1numMeds
-------------+----------------------------------------------------------------------------------------
wave1   |  .4869743     .5173346     .4240323            2     .0933023     .0466511            0            2

.
. title2 "Wave 1 Female moderation analysis"
-------------
title2: Wave 1 Female moderation analysis
                                       Date and time:  27 Jun 2012    13:01:35
                                       Working directory:  /Users/robertyaffee/Documents/data/research/chwk/phase3/Htests/H1tests/H1pt1/work
                                       Stata data file:  chwide25june2012.dta  has  4156  variables and  703  observations

Wave 1 Female moderation analysis
-------------

.
. foreach var in borw1  PTSDw1 havmil chsize icdxcnt {
  2.  cap  gen `var'Xd1 = `var'* avgcumdosew1
  3.     }

.
. regress WHPel age educ2-educ7 aborw1  PTSDw1 ///
>     havmil chsize havmilXd1 if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     363
                                                       F( 11,   362) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.2693
                                                       Root MSE      =  29.943

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .8109791    .1569304      5.17    0.000      .5023694     1.119589
       educ2 |   -12.78673    7.553939     -1.69    0.091     -27.64185     2.068381
       educ3 |   -10.76705    5.018766     -2.15    0.033     -20.63665    -.8974532
       educ4 |   -13.24275    9.052003     -1.46    0.144     -31.04386     4.558367
       educ5 |   -31.63312    5.816545     -5.44    0.000     -43.07158    -20.19466
       educ6 |   -25.03442    5.158808     -4.85    0.000     -35.17942    -14.88942
       educ7 |   -6.029473     4.42113     -1.36    0.173      -14.7238     2.664851
      aborw1 |   -6.511769    1.303168     -5.00    0.000     -9.074499    -3.949038
      PTSDw1 |    .2359235    .0493586      4.78    0.000       .138858     .3329891
      havmil |    -.013899    .0056197     -2.47    0.014     -.0249504    -.0028476
      chsize |    .2060565    .0548797      3.75    0.000      .0981335     .3139796
   havmilXd1 |     .014027    .0112101      1.25    0.212     -.0080181     .0360721
       _cons |   -6.711597     11.2114     -0.60    0.550     -28.75924     15.33605
-------------+----------------------------------------------------------------

.
. * There are really no moderators in wave one
.
.
.
.
. title "Wave 1 Female mediation analysis"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****                  Wave 1 Female mediation analysis                   *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:35  *****
*******************************************************************************
*******************************************************************************


.
. title "age  and illness count (icdxct) depression (BSIdep ) anxiety (BSIanx and anxagw1) PTSDw1 Hp2sex life depression depagw1 are possible Female mediators of energy level in wave 1"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****age  and illness count (icdxct) depression (BSIdep ) anxiety (BSIanx and anxagw1) PTSDw1 Hp2sex life depression depagw1 are possible Female mediators of energy level in wave 1*****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:35  *****
*******************************************************************************
*******************************************************************************


.
. cap gen whpel = WHPel

. sem(avgcumdosew1->age)(age->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  age whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -3480.9421
Iteration 1:   log likelihood = -3480.9421

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3480.9421

-----------------+----------------------------------------------------------------
                 |                 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
  ---------------+----------------------------------------------------------------
   whpel <-       |
             age |    .9770812    .1434361      6.81    0.000      .6959517     1.258211
           _cons |    -17.2271    7.400508     -2.33    0.020     -31.73183    -2.722368
-----------------+----------------------------------------------------------------
 Variance         |
           e.age |    135.7032    10.07284                    117.3297     156.9539
         e.whpel |    1048.966    77.86154                    906.9413     1213.231
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      1.54, Prob > chi2 = 0.2151

. sem(avgcumdosew1->illw1)(illw1->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  illw1 whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -2353.6833
Iteration 1:   log likelihood = -2353.6833

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2353.6833

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   illw1 <-       |
    avgcumdosew1 |    .0655142    .0473479      1.38    0.166     -.0272859     .1583144
           _cons |    .1570822    .0304462      5.16    0.000      .0974087     .2167556
  ---------------+----------------------------------------------------------------
   whpel <-       |
           illw1 |    8.068414    3.613828      2.23    0.026      .9854413     15.15139
           _cons |    30.39216    1.906228     15.94    0.000      26.65602      34.1283
-----------------+----------------------------------------------------------------
 Variance         |
         e.illw1 |    .2448817    .0181768                     .211726     .2832294
         e.whpel |    1167.031    86.62516                    1009.021     1349.785
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.81, Prob > chi2 = 0.0283

. sem(avgcumdosew1->radchw1)(radchw1->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  radchw1 whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -3923.5926
Iteration 1:   log likelihood = -3923.5926

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3923.5926

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radchw1 <-     |
    avgcumdosew1 |    3.622756     3.55317      1.02    0.308      -3.34133     10.58684
           _cons |    60.18119    2.284803     26.34    0.000      55.70306     64.65933
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radchw1 |   -.0112273    .0485404     -0.23    0.817     -.1063646     .0839101
           _cons |    32.52623    3.484297      9.34    0.000      25.69714     39.35533
-----------------+----------------------------------------------------------------
 Variance         |
       e.radchw1 |    1379.072    102.3643                    1192.353     1595.031
         e.whpel |    1182.882    87.80176                    1022.726     1368.118
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      5.53, Prob > chi2 = 0.0187

. sem(avgcumdosew1->radhlw1)(radhlw1->whpel) if gender==2, nocapslatent
(1 observations with missing values excluded;
 specify option 'method(mlmv)' to use all observations)

Endogenous variables


Observed:  radhlw1 whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood =  -3911.802
Iteration 1:   log likelihood =  -3911.802

Structural equation model                       Number of obs      =       362
 Estimation method = ml
 Log likelihood    =  -3911.802

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radhlw1 <-     |
    avgcumdosew1 |    3.789972      3.5524      1.07    0.286     -3.172604     10.75255
           _cons |    55.44948    2.287412     24.24    0.000      50.96623     59.93272
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radhlw1 |    .0777596    .0484667      1.60    0.109     -.0172334     .1727526
           _cons |    27.51405    3.287017      8.37    0.000      21.07161     33.95648
-----------------+----------------------------------------------------------------
 Variance         |
       e.radhlw1 |    1377.647    102.3997                    1190.882     1593.703
         e.whpel |    1175.161    87.34901                    1015.846     1359.461
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.99, Prob > chi2 = 0.0255

. sem(avgcumdosew1->icdxcnt)(icdxcnt->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  icdxcnt whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -2909.5796
Iteration 1:   log likelihood = -2909.5796

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2909.5796

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   icdxcnt <-     |
    avgcumdosew1 |    .4524905    .2207196      2.05    0.040       .019888     .8850931
           _cons |    3.013471    .1419298     21.23    0.000      2.735293     3.291648
  ---------------+----------------------------------------------------------------
   whpel <-       |
         icdxcnt |     2.53141    .7666649      3.30    0.001      1.028775     4.034046
           _cons |    23.82427    3.008826      7.92    0.000      17.92708     29.72146
-----------------+----------------------------------------------------------------
 Variance         |
       e.icdxcnt |    5.321535    .3950014                    4.601028     6.154873
         e.whpel |    1148.561    85.25421                    993.0521     1328.423
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.10, Prob > chi2 = 0.0429

. sem(avgcumdosew1->BSIdep)(BSIdep->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  BSIdep whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -3042.0105
Iteration 1:   log likelihood = -3042.0105

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3042.0105

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   BSIdep <-      |
    avgcumdosew1 |    1.380465    .3522431      3.92    0.000      .6900812     2.070849
           _cons |    9.192477    .2265037     40.58    0.000      8.748538     9.636416
  ---------------+----------------------------------------------------------------
   whpel <-       |
          BSIdep |    4.186388    .4271144      9.80    0.000      3.349259     5.023517
           _cons |   -8.585374    4.425493     -1.94    0.052     -17.25918     .0884327
-----------------+----------------------------------------------------------------
 Variance         |
        e.BSIdep |    13.55315    1.006009                    11.71812     15.67553
         e.whpel |     935.476    69.43754                    808.8175     1081.969
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      0.43, Prob > chi2 = 0.5127

. sem(avgcumdosew1->BSIanx)(BSIanx->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  BSIanx whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -3040.3061
Iteration 1:   log likelihood = -3040.3061

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3040.3061

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   BSIanx <-      |
    avgcumdosew1 |    1.528414    .3399598      4.50    0.000      .8621048     2.194723
           _cons |    8.465151    .2186051     38.72    0.000      8.036693     8.893609
  ---------------+----------------------------------------------------------------
   whpel <-       |
          BSIanx |    3.757288    .4534895      8.29    0.000      2.868465     4.646111
           _cons |   -1.895869    4.395133     -0.43    0.666     -10.51017     6.718433
-----------------+----------------------------------------------------------------
 Variance         |
        e.BSIanx |    12.62438    .9370693                     10.9151     14.60132
         e.whpel |    994.9118    73.84928                     860.206     1150.712
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      0.42, Prob > chi2 = 0.5149

. sem(avgcumdosew1->PTSDw1)(PTSDw1->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  PTSDw1 whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -3863.0688
Iteration 1:   log likelihood = -3863.0688

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3863.0688

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   PTSDw1 <-      |
    avgcumdosew1 |    13.50282    3.095226      4.36    0.000      7.436293     19.56936
           _cons |    13.41722     1.99033      6.74    0.000      9.516244     17.31819
  ---------------+----------------------------------------------------------------
   whpel <-       |
          PTSDw1 |    .2453114    .0528524      4.64    0.000      .1417226     .3489001
           _cons |    27.43415    1.994072     13.76    0.000      23.52584     31.34246
-----------------+----------------------------------------------------------------
 Variance         |
        e.PTSDw1 |    1046.501     77.6786                    904.8104      1210.38
         e.whpel |    1116.779    82.89511                     965.573     1291.663
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      1.95, Prob > chi2 = 0.1630

. sem(avgcumdosew1->radfmw1)(radfmw1->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  radfmw1 whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -3916.1557
Iteration 1:   log likelihood = -3916.1557

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3916.1557

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radfmw1 <-     |
    avgcumdosew1 |    2.653658    3.496441      0.76    0.448      -4.19924     9.506556
           _cons |    59.16475    2.248324     26.32    0.000      54.75811     63.57138
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radfmw1 |    .0886878     .049143      1.80    0.071     -.0076307     .1850064
           _cons |    26.51076    3.455465      7.67    0.000      19.73817     33.28334
-----------------+----------------------------------------------------------------
 Variance         |
       e.radfmw1 |    1335.388    99.12176                    1154.583     1544.505
         e.whpel |    1172.536    87.03382                    1013.781     1356.152
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      5.17, Prob > chi2 = 0.0229

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

Endogenous variables


Observed:  radtlw1 whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -3934.4079
Iteration 1:   log likelihood = -3934.4079

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3934.4079

-----------------+----------------------------------------------------------------
                 |                 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
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radtlw1 |   -.0333556    .0471149     -0.71    0.479      -.125699     .0589879
           _cons |     33.9056    3.434076      9.87    0.000      27.17494     40.63627
-----------------+----------------------------------------------------------------
 Variance         |
       e.radtlw1 |    1465.553    108.7835                    1267.125     1695.054
         e.whpel |    1181.425    87.69362                    1021.467     1366.433
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      5.53, Prob > chi2 = 0.0187

. sem(avgcumdosew1->anxagw1)(anxagw1->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  anxagw1 whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -3884.0018
Iteration 1:   log likelihood = -3884.0018

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3884.0018

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   anxagw1 <-     |
    avgcumdosew1 |     14.8864    3.280074      4.54    0.000      8.457573     21.31523
           _cons |    17.37449    2.109193      8.24    0.000      13.24055     21.50843
  ---------------+----------------------------------------------------------------
   whpel <-       |
         anxagw1 |    .2323267    .0497551      4.67    0.000      .1348085     .3298449
           _cons |    26.63996    2.076817     12.83    0.000      22.56948     30.71045
-----------------+----------------------------------------------------------------
 Variance         |
       e.anxagw1 |    1175.228    87.23363                    1016.109     1359.266
         e.whpel |    1116.023    82.83903                    964.9198      1290.79
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      1.83, Prob > chi2 = 0.1766

. sem(avgcumdosew1->HP2sxlife)(HP2sxlife->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  HP2sxlife whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -2268.6776
Iteration 1:   log likelihood = -2268.6776

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2268.6776

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   HP2sxlife <-   |
    avgcumdosew1 |    .1577149    .0410881      3.84    0.000      .0771836     .2382462
           _cons |     .206037     .026421      7.80    0.000      .1542528     .2578212
  ---------------+----------------------------------------------------------------
   whpel <-       |
       HP2sxlife |    33.30725    3.731965      8.92    0.000      25.99274     40.62177
           _cons |     23.2119    1.899102     12.22    0.000      19.48973     26.93407
-----------------+----------------------------------------------------------------
 Variance         |
     e.HP2sxlife |    .1844114    .0136883                    .1594431     .2132897
         e.whpel |    970.1719    72.01291                    838.8157     1122.098
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      0.68, Prob > chi2 = 0.4107

. sem(avgcumdosew1->drinkspww1)(drinkspww1->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  drinkspww1 whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood =  -2778.339
Iteration 1:   log likelihood =  -2778.339

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =  -2778.339

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   drinkspww1 <-  |
    avgcumdosew1 |    .1642368     .151599      1.08    0.279     -.1328918     .4613653
           _cons |    .5564659     .097483      5.71    0.000      .3654026     .7475291
  ---------------+----------------------------------------------------------------
   whpel <-       |
      drinkspww1 |   -.8021985    1.136782     -0.71    0.480     -3.030249     1.425852
           _cons |    32.32752    1.933385     16.72    0.000      28.53815     36.11688
-----------------+----------------------------------------------------------------
 Variance         |
    e.drinkspww1 |    2.510427    .1863414                    2.170528     2.903553
         e.whpel |    1181.436     87.6944                    1021.476     1366.445
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      5.67, Prob > chi2 = 0.0173

. sem(avgcumdosew1->depagw1)(depagw1->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  depagw1 whpel


Exogenous variables


Observed:  avgcumdosew1


Fitting target model:

Iteration 0:   log likelihood = -3798.3515
Iteration 1:   log likelihood = -3798.3515

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3798.3515

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   depagw1 <-     |
    avgcumdosew1 |    13.80922    2.592668      5.33    0.000      8.727682     18.89075
           _cons |    7.956292    1.667169      4.77    0.000      4.688701     11.22388
  ---------------+----------------------------------------------------------------
   whpel <-       |
         depagw1 |     .294709    .0622707      4.73    0.000      .1726608     .4167573
           _cons |    28.12667     1.91945     14.65    0.000      24.36461     31.88872
-----------------+----------------------------------------------------------------
 Variance         |
       e.depagw1 |     734.258    54.50174                    634.8434     849.2407
         e.whpel |      1114.3    82.71109                    963.4296     1288.796
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      1.36, Prob > chi2 = 0.2433

.
. scalar W1FemaleELMed = "age icdxcnt BSIdep depagw1 BSIanx anxagw1 PTSDw1 HP2sxlife"

. scalar W1numMELMeds = 8

. *-------------------------------------------------------------------------
.
.
. // wave 2 model
.
. set more off

. regress WHPel age educ2-educ7 marrw21-marrw23 marrw25 childw2 ///
>   emplw22-emplw26 occ1w2-occ8w2 inc1w2-inc4w2 radhlw2 radchw2 ///
>   radtlw2 havmil bffel1 bffel2 bffel3 bffel4  ///
>    carcin healthef ///
>     dvcew2 sepaw2 BSIdep anxagw2 PTSDw2 BSIanx depagw2 ///
>    shhlw2 shhousw2 phlthw2 suprtw2 fdferw2 ///
>    dafter chsize polprw2 icdxcnt HP2sxlife  if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     355
                                                       F( 54,   354) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.5771
                                                       Root MSE      =  24.507

(Std. Err. adjusted for 355 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |   -.1068869    .1966316     -0.54    0.587     -.4935999     .2798261
       educ2 |   -10.34626    12.65222     -0.82    0.414     -35.22923      14.5367
       educ3 |   -7.127082    10.79289     -0.66    0.509     -28.35332     14.09916
       educ4 |    -2.99677    13.01623     -0.23    0.818     -28.59564      22.6021
       educ5 |    -5.39923    11.25813     -0.48    0.632     -27.54045     16.74199
       educ6 |   -11.43586     11.3686     -1.01    0.315     -33.79435     10.92263
       educ7 |   -15.28659    12.53201     -1.22    0.223     -39.93314     9.359962
     marrw21 |   -19.82878    10.75211     -1.84    0.066     -40.97483      1.31727
     marrw22 |   -5.971769    14.70914     -0.41    0.685     -34.90006     22.95652
     marrw23 |   -9.919321    9.505973     -1.04    0.297      -28.6146     8.775961
     marrw25 |   -1.883252    10.85145     -0.17    0.862     -23.22466     19.45816
     childw2 |   -3.150521    2.534198     -1.24    0.215     -8.134498     1.833455
     emplw22 |    1.578517    7.484023      0.21    0.833     -13.14022     16.29725
     emplw23 |    9.925836    8.154839      1.22    0.224     -6.112189     25.96386
     emplw24 |   -11.12118    11.60986     -0.96    0.339     -33.95415     11.71178
     emplw25 |    16.08366    11.35797      1.42    0.158     -6.253912     38.42124
     emplw26 |    -.061231    9.419723     -0.01    0.995     -18.58689     18.46442
      occ1w2 |    20.91387     6.35219      3.29    0.001      8.421098     33.40665
      occ2w2 |    22.32914    6.727076      3.32    0.001      9.099085      35.5592
      occ3w2 |    22.18832    7.151898      3.10    0.002      8.122769     36.25387
      occ4w2 |    15.20135    11.24216      1.35    0.177     -6.908475     37.31118
      occ5w2 |    28.24231    8.631686      3.27    0.001      11.26648     45.21814
      occ6w2 |    17.04381    10.54457      1.62    0.107     -3.694065     37.78168
      occ7w2 |     14.0835    8.628222      1.63    0.104     -2.885516     31.05252
      occ8w2 |    21.63182    7.593708      2.85    0.005      6.697365     36.56627
      inc1w2 |   -15.53355    7.074761     -2.20    0.029      -29.4474    -1.619705
      inc2w2 |   -16.74168    6.653587     -2.52    0.012     -29.82721    -3.656146
      inc3w2 |   -20.49552     6.65081     -3.08    0.002     -33.57558    -7.415447
      inc4w2 |   -20.62978    11.76015     -1.75    0.080     -43.75832     2.498762
     radhlw2 |   -.0279887    .0579758     -0.48    0.630      -.142009     .0860315
     radchw2 |   -.1218406    .0512437     -2.38    0.018     -.2226209    -.0210602
     radtlw2 |    .1254035    .0585581      2.14    0.033      .0102379      .240569
      havmil |   -.0129913    .0036077     -3.60    0.000     -.0200865    -.0058961
      bffel1 |     -3.5096    2.476286     -1.42    0.157     -8.379681     1.360481
      bffel2 |   -.5251721    1.895017     -0.28    0.782     -4.252078     3.201734
      bffel3 |   -2.266984    .4864609     -4.66    0.000     -3.223701    -1.310267
      bffel4 |   -.4790062    .1114982     -4.30    0.000     -.6982885     -.259724
      carcin |   -.0639558    .1520739     -0.42    0.674     -.3630378     .2351261
    healthef |    .0092817    .1525045      0.06    0.952     -.2906469     .3092104
      dvcew2 |   -8.343258    9.798888     -0.85    0.395     -27.61461      10.9281
      sepaw2 |    11.53779    11.26898      1.02    0.307     -10.62477     33.70035
      BSIdep |    3.621987     1.97002      1.84    0.067     -.2524265     7.496401
     anxagw2 |    -.084679    .0863561     -0.98    0.327     -.2545144     .0851564
      PTSDw2 |   -.2124897    .1805438     -1.18    0.240      -.567563     .1425836
      BSIanx |    .3482156    .6447901      0.54    0.590     -.9198853     1.616316
     depagw2 |    .0609948    .0978344      0.62    0.533     -.1314149     .2534045
      shhlw2 |    .0128787    .0526291      0.24    0.807     -.0906263     .1163837
    shhousw2 |    .0064083    .0471652      0.14    0.892     -.0863509     .0991675
     phlthw2 |   -.1118759     .105659     -1.06    0.290     -.3196742     .0959224
     suprtw2 |    .0240845    .0398639      0.60    0.546     -.0543154     .1024845
     fdferw2 |    .0886934    .0596412      1.49    0.138     -.0286021     .2059889
      dafter |    .0828818    .3079988      0.27    0.788     -.5228558     .6886193
      chsize |     .136951    .0593591      2.31    0.022      .0202101     .2536919
     polprw2 |   -.1166591    .0427531     -2.73    0.007     -.2007411    -.0325771
     icdxcnt |   -.4091866    .7025396     -0.58    0.561     -1.790863     .9724894
   HP2sxlife |    8.363739    4.371452      1.91    0.057     -.2335421     16.96102
       _cons |    66.50329    27.16827      2.45    0.015      13.07179     119.9348
-------------+----------------------------------------------------------------

.
. scalar fw2wbfw2 = e(r2_a)

. set more off

.
.
. // Trimmed model with basis functions
. regress WHPel age ///
>    havmil  bffel3 bffel4 ///
>     polprw2  chsize  HP2sxlife  if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     363
                                                       F(  7,   362) =   58.81
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4948
                                                       Root MSE      =  24.722

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |   -.0397477    .1364791     -0.29    0.771     -.3081392     .2286438
      havmil |   -.0139845    .0030378     -4.60    0.000     -.0199586    -.0080105
      bffel3 |    -2.70741    .3753929     -7.21    0.000     -3.445635    -1.969185
      bffel4 |   -.5260092    .0876125     -6.00    0.000     -.6983026    -.3537157
     polprw2 |   -.1025442    .0342069     -3.00    0.003     -.1698134    -.0352749
      chsize |    .1093234    .0463116      2.36    0.019      .0182499     .2003969
   HP2sxlife |    12.32939    4.048777      3.05    0.002       4.36731     20.29147
       _cons |      68.563    9.202705      7.45    0.000      50.46552     86.66047
-------------+----------------------------------------------------------------

. scalar tw2bfw2 = e(r2_a)

.
. // r2 without basis functions = .2097
. set more off

. regress WHPel age   bffel3 bffel4 ///
>    havmil polprw2 chsize HP2sxlife  if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     363
                                                       F(  7,   362) =   58.81
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4948
                                                       Root MSE      =  24.722

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |   -.0397477    .1364791     -0.29    0.771     -.3081392     .2286438
      bffel3 |    -2.70741    .3753929     -7.21    0.000     -3.445635    -1.969185
      bffel4 |   -.5260092    .0876125     -6.00    0.000     -.6983026    -.3537157
      havmil |   -.0139845    .0030378     -4.60    0.000     -.0199586    -.0080105
     polprw2 |   -.1025442    .0342069     -3.00    0.003     -.1698134    -.0352749
      chsize |    .1093234    .0463116      2.36    0.019      .0182499     .2003969
   HP2sxlife |    12.32939    4.048777      3.05    0.002       4.36731     20.29147
       _cons |      68.563    9.202705      7.45    0.000      50.46552     86.66047
-------------+----------------------------------------------------------------

.
. scalar tw2nobfw2 = e(r2_a)

. scalar w2numbfw2 = 2

. scalar list tw2nobfw2
 tw2nobfw2 =  .48481206

.
. scalar numModsw2 = 1

. scalar NumMedsw2= 9

.
. scalar r2chabfw2 = tw2wbfw2 - tw2nobfw2

. scalar avgImpBFw2 = r2chabfw2/w2numbfw2

. * avgImpBF = average improvement per basis function
. scalar list
W2FemaleELmed = age radfmw3 BSIanx BSIdep icdxcnt radhlw3 illw3 and Hp2sxlife
 numMedsw3 =          8
 numModsw3 =          0
  avgImpBF =  .11029749
 r2chabfw3 =  .22059497
   w3numbf =          2
   tw3bfw3 =  .47297697
W2FemaleELMed = age and radfmw2 radhlw2 radchw2 illw2 BSIanx BSIdep icdxcnt hp2sxlife
   tw3nobf =  .27136786
     tw3bf =  .49196283
    fw3wbf =   .5038513
 numMedsw2 =          9
   tw2bfw2 =  .48481206
avgImpBFw2 = -.00825204
 r2chabfw2 = -.01650409
 NumMedsw2 =          9
 numModsw2 =          1
 w2numbfw2 =          2
 tw2nobfw2 =  .48481206
  tw2wbfw2 =  .46830797
  fw2wbfw2 =  .49768384
W1numMELMeds =          8
W1FemaleELMed = age icdxcnt BSIdep depagw1 BSIanx anxagw1 PTSDw1 HP2sxlife
w1numMElMeds =          2
w1nuFemaleElmods =          0
avgImpBFw1 =  .04665114
   w1numbf =          2
   r2chabf =  .09330229
   tw1nobf =  .42403233
     tw1bf =  .51733462
       fw1 =  .48697432

. matrix define FemaleWHPelr2w2 = (fw2wbfw2, tw2bfw2, tw2nobfw2, w2numbfw2,  r2chabfw2, avgImpBFw2, numModsw2, NumMedsw2)

. matrix colnames FemaleWHPelr2w2 = FullBFR2aw2 TR2aBFw2  TR2aNoBFw2  NumBFw2  BFR2chaw2  AvgImpBFw2 NumModsw2 NumMedsw2

. matrix rownames FemaleWHPelr2w2 = wave2

. matlist FemaleWHPelr2w2

   | FullBFR~2    TR2aBFw2    TR2aNoB~2    NumBFw2    BFR2chaw2    AvgImpB~2    NumModsw2    NumMedsw2
-------------+----------------------------------------------------------------------------------------
wave2   |  .4976838     .4848121     .4848121            2    -.0165041     -.008252            1            9

.
. matrix define FemaleWHPelr2 = (FemaleWHPelr2w1 \ FemaleWHPelr2w2)

. matlist FemaleWHPelr2

   | FullBFR2a    TR2aBF    TR2aNoBF    NumBF    BFR2cha    AvgImpBF    w1numMods    w1numMeds
-------------+----------------------------------------------------------------------------------------
wave1   |  .4869743     .5173346     .4240323            2     .0933023     .0466511            0            2
wave2   |  .4976838     .4848121     .4848121            2    -.0165041     -.008252            1            9

.
.
. title "Wave 2 Female  moderator analysis"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****                 Wave 2 Female  moderator analysis                   *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:38  *****
*******************************************************************************
*******************************************************************************


.
.
. // Trimmed model with basis functions
. regress WHPel age  ///
>    havmil bffel3 bffel4  ///
>    polprw2 HP2sxlife chsize if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     363
                                                       F(  7,   362) =   58.81
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4948
                                                       Root MSE      =  24.722

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |   -.0397477    .1364791     -0.29    0.771     -.3081392     .2286438
      havmil |   -.0139845    .0030378     -4.60    0.000     -.0199586    -.0080105
      bffel3 |    -2.70741    .3753929     -7.21    0.000     -3.445635    -1.969185
      bffel4 |   -.5260092    .0876125     -6.00    0.000     -.6983026    -.3537157
     polprw2 |   -.1025442    .0342069     -3.00    0.003     -.1698134    -.0352749
   HP2sxlife |    12.32939    4.048777      3.05    0.002       4.36731     20.29147
      chsize |    .1093234    .0463116      2.36    0.019      .0182499     .2003969
       _cons |      68.563    9.202705      7.45    0.000      50.46552     86.66047
-------------+----------------------------------------------------------------

.
. foreach var in bffel3 bffel4 polprw2 HP2sxlife chsize {
  2.   cap gen `var'Xd2 = `var'*avgcumdosew2
  3.   }

.
.
. // Trimmed model with basis functions
. regress WHPel age  havmil bffel3 bffel4  ///
>    polprw2 HP2sxlife chsize bffel3Xd2-chsizeXd2  if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     363
                                                       F( 12,   362) =   41.06
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4988
                                                       Root MSE      =  24.797

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |   -.0469065    .1446824     -0.32    0.746       -.33143      .237617
      havmil |   -.0142855    .0031091     -4.59    0.000     -.0203996    -.0081714
      bffel3 |   -2.389054     .426993     -5.60    0.000     -3.228752    -1.549356
      bffel4 |   -.5629112    .0989158     -5.69    0.000     -.7574329    -.3683895
     polprw2 |   -.0997399     .039034     -2.56    0.011     -.1765017    -.0229781
   HP2sxlife |    14.09644    4.666127      3.02    0.003      4.920325     23.27256
      chsize |    .0783037    .0524761      1.49    0.137     -.0248926     .1815001
   bffel3Xd2 |   -.3687073    .1700938     -2.17    0.031     -.7032033    -.0342112
   bffel4Xd2 |    .0186826     .022263      0.84    0.402     -.0250985     .0624638
  polprw2Xd2 |   -.0025232    .0125171     -0.20    0.840     -.0271385     .0220921
HP2sxlifeXd2 |   -2.166791    1.961888     -1.10    0.270     -6.024919     1.691337
   chsizeXd2 |    .0366398    .0296228      1.24    0.217     -.0216146     .0948942
       _cons |      69.284    9.589914      7.22    0.000      50.42507     88.14294
-------------+----------------------------------------------------------------

. // one moderator effect is significant at wave 2: bffel3Xd2
. des bffel3

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


bffel3            float    %9.0g                        max(0, 23-BSIsoma)


. summ bffel3 if gender==2

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      bffel3 |       363      9.5427    5.101751          0         19

. centile bffel3 if gender==2, centile(33 67)  // cut points are at 8 and 13

                                                       -- Binom. Interp. --
    Variable |     Obs  Percentile      Centile        [95% Conf. Interval]
-------------+-------------------------------------------------------------
      bffel3 |      363        33             8               7           8
             |                 67            13              12          13

. hist bffel3 if gender==2
(bin=19, start=0, width=1)

. cap drop lowbffeld2

. cap gen lowbffeld2 = avgcumdosew2 if bffel3 < 8 & gender==2

. cap gen midbffeld2 = avgcumdosew2 if bffel3 >= 8 & bffel3 < 13 & gender==2

. cap gen hibffeld2 = avgcumdosew2 if bffel3 >= 13 & gender ==2 & bffel3 !=.

. twoway lfit WHPel lowbffeld2 || lfit WHPel midbffeld2 || lfit WHPel hibffeld2, ///
>    ti(Bffel by dose effect on Energy level in wave 2) ///
>     xti(average wave 2 cumulative dose of {superscript:137}CS in milliGrays) ///
>    yti("bffel3 score: (23 - BSIsoma){subscript:+}") ///
>    lpattern(dash longdash dash_dot ) lcolor(black green red) ///
>    legend(label(1 "bffel3 < 8") label(2 "8 < bffel3 < 13") label(3 "bffel >=13"))

.
. graph save ELbffeld2.gph, replace
(file ELbffeld2.gph saved)

. graph export ELbffeld2.eps, replace
(file ELbffeld2.eps written in EPS format)

.
.
.
.
.
.
. title "Wave 2 Female mediation analysis"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****                  Wave 2 Female mediation analysis                   *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:41  *****
*******************************************************************************
*******************************************************************************


.
. title "age and sex life are possible Female mediators of energy level in wave 2"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****age and sex life are possible Female mediators of energy level in wave 2*****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:41  *****
*******************************************************************************
*******************************************************************************


.
. cap gen whpel = WHPel

. sem(avgcumdosew2->age)(age->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  age whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -3816.1454
Iteration 1:   log likelihood = -3816.1454

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3816.1454

-----------------+----------------------------------------------------------------
                 |                 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
  ---------------+----------------------------------------------------------------
   whpel <-       |
             age |    .9770812    .1434361      6.81    0.000      .6959517     1.258211
           _cons |    -17.2271    7.400508     -2.33    0.020     -31.73183    -2.722368
-----------------+----------------------------------------------------------------
 Variance         |
           e.age |     136.164    10.10704                    117.7281     157.4869
         e.whpel |    1048.966    77.86154                    906.9413     1213.231
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      1.37, Prob > chi2 = 0.2416

. sem(avgcumdosew2->illw2)(illw2->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  illw2 whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood =   -2885.89
Iteration 1:   log likelihood =   -2885.89

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =   -2885.89

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   illw2 <-       |
    avgcumdosew2 |    .1249912    .0330244      3.78    0.000      .0602647     .1897178
           _cons |     .301285    .0542982      5.55    0.000      .1948624     .4077076
  ---------------+----------------------------------------------------------------
   whpel <-       |
           illw2 |    8.395507    1.992806      4.21    0.000      4.489678     12.30134
           _cons |     28.3677    1.945583     14.58    0.000      24.55442     32.18097
-----------------+----------------------------------------------------------------
 Variance         |
         e.illw2 |    .7527109    .0558714                    .6507978     .8705832
         e.whpel |    1127.908    83.72122                    975.1956     1304.536
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      2.16, Prob > chi2 = 0.1419

. sem(avgcumdosew2->radchw2)(radchw2->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  radchw2 whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -4221.9202
Iteration 1:   log likelihood = -4221.9202

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4221.9202

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radchw2 <-     |
    avgcumdosew2 |    2.827903     1.27938      2.21    0.027      .3203636     5.335442
           _cons |    59.99635    2.103541     28.52    0.000      55.87348     64.11921
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radchw2 |     .021806    .0533417      0.41    0.683     -.0827418     .1263539
           _cons |    30.47341    3.792427      8.04    0.000      23.04039     37.90643
-----------------+----------------------------------------------------------------
 Variance         |
       e.radchw2 |    1129.689    83.85338                    976.7351     1306.595
         e.whpel |    1182.512    87.77429                    1022.406      1367.69
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.76, Prob > chi2 = 0.0292

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

Endogenous variables


Observed:  radhlw2 whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood =  -4215.415
Iteration 1:   log likelihood =  -4215.415

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =  -4215.415

-----------------+----------------------------------------------------------------
                 |                 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
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radhlw2 |    .1949884    .0521945      3.74    0.000      .0926891     .2972878
           _cons |    20.15534    3.593899      5.61    0.000      13.11142     27.19925
-----------------+----------------------------------------------------------------
 Variance         |
       e.radhlw2 |    1131.299    83.97289                    978.1272     1308.457
         e.whpel |    1139.256    84.56349                    985.0066      1317.66
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      3.12, Prob > chi2 = 0.0773

. sem(avgcumdosew2->icdxcnt)(icdxcnt->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  icdxcnt whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -3244.1798
Iteration 1:   log likelihood = -3244.1798

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3244.1798

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   icdxcnt <-     |
    avgcumdosew2 |    .1794903    .0878119      2.04    0.041      .0073822     .3515984
           _cons |    3.004543    .1443792     20.81    0.000      2.721565     3.287522
  ---------------+----------------------------------------------------------------
   whpel <-       |
         icdxcnt |     2.53141    .7666649      3.30    0.001      1.028775     4.034046
           _cons |    23.82427    3.008826      7.92    0.000      17.92708     29.72146
-----------------+----------------------------------------------------------------
 Variance         |
       e.icdxcnt |    5.321894     .395028                    4.601338     6.155287
         e.whpel |    1148.561    85.25421                    993.0521     1328.423
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      3.62, Prob > chi2 = 0.0572

. sem(avgcumdosew2->BSIdep)(BSIdep->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  BSIdep whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood =  -3377.589
Iteration 1:   log likelihood =  -3377.589

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =  -3377.589

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   BSIdep <-      |
    avgcumdosew2 |    .5124468    .1405158      3.65    0.000      .2370408     .7878528
           _cons |    9.196716    .2310344     39.81    0.000      8.743897     9.649535
  ---------------+----------------------------------------------------------------
   whpel <-       |
          BSIdep |    4.186388    .4271144      9.80    0.000      3.349259     5.023517
           _cons |   -8.585374    4.425493     -1.94    0.052     -17.25918     .0884327
-----------------+----------------------------------------------------------------
 Variance         |
        e.BSIdep |    13.62731    1.011514                    11.78225     15.76131
         e.whpel |     935.476    69.43754                    808.8175     1081.969
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      0.42, Prob > chi2 = 0.5159

. sem(avgcumdosew2->BSIanx)(BSIanx->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  BSIanx whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -3377.0834
Iteration 1:   log likelihood = -3377.0834

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3377.0834

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   BSIanx <-      |
    avgcumdosew2 |    .5377254    .1360644      3.95    0.000      .2710441     .8044067
           _cons |    8.496392    .2237153     37.98    0.000      8.057918     8.934866
  ---------------+----------------------------------------------------------------
   whpel <-       |
          BSIanx |    3.757288    .4534895      8.29    0.000      2.868465     4.646111
           _cons |   -1.895869    4.395133     -0.43    0.666     -10.51017     6.718433
-----------------+----------------------------------------------------------------
 Variance         |
        e.BSIanx |    12.77758    .9484407                    11.04756     14.77851
         e.whpel |    994.9118    73.84928                     860.206     1150.712
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      0.55, Prob > chi2 = 0.4603

. sem(avgcumdosew2->PTSDw2)(PTSDw2->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  PTSDw2 whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -3707.4963
Iteration 1:   log likelihood = -3707.4963

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3707.4963

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   PTSDw2 <-      |
    avgcumdosew2 |     .538256    .3126879      1.72    0.085     -.0746011     1.151113
           _cons |    3.023189    .5141176      5.88    0.000      2.015537     4.030841
  ---------------+----------------------------------------------------------------
   whpel <-       |
          PTSDw2 |    .5398533    .2170316      2.49    0.013      .1144791     .9652275
           _cons |     29.9446    1.945051     15.40    0.000      26.13237     33.75683
-----------------+----------------------------------------------------------------
 Variance         |
        e.PTSDw2 |    67.48105    5.008914                    58.34448     78.04839
         e.whpel |    1163.229    86.34298                    1005.734     1345.388
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.06, Prob > chi2 = 0.0440

. sem(avgcumdosew2->radfmw2)(radfmw2->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  radfmw2 whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -4193.2556
Iteration 1:   log likelihood = -4193.2556

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4193.2556

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radfmw2 <-     |
    avgcumdosew2 |    3.655749    1.211084      3.02    0.003      1.282068     6.029431
           _cons |    64.62134     1.99125     32.45    0.000      60.71857     68.52412
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radfmw2 |    .2327258    .0546944      4.26    0.000      .1255267     .3399248
           _cons |    16.03593    4.110268      3.90    0.000      7.979949      24.0919
-----------------+----------------------------------------------------------------
 Variance         |
       e.radfmw2 |    1012.298     75.1398                    875.2382     1170.821
         e.whpel |    1126.853    83.64288                    974.2831     1303.315
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      2.62, Prob > chi2 = 0.1058

. sem(avgcumdosew2->radtlw2)(radtlw2->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  radtlw2 whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -4231.6616
Iteration 1:   log likelihood = -4231.6616

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4231.6616

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   radtlw2 <-     |
    avgcumdosew2 |    2.047485    1.316579      1.56    0.120     -.5329614     4.627932
           _cons |    62.33714    2.164702     28.80    0.000       58.0944     66.57987
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radtlw2 |    .0634795    .0519145      1.22    0.221      -.038271     .1652299
           _cons |    27.76339    3.787336      7.33    0.000      20.34034     35.18643
-----------------+----------------------------------------------------------------
 Variance         |
       e.radtlw2 |    1196.336    88.80041                    1034.359     1383.679
         e.whpel |    1178.204    87.45448                    1018.681     1362.707
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.51, Prob > chi2 = 0.0336

. sem(avgcumdosew2->anxagw2)(anxagw2->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  anxagw2 whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood =   -4072.06
Iteration 1:   log likelihood =   -4072.06

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =   -4072.06

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   anxagw2 <-     |
    avgcumdosew2 |    1.129282    .8534693      1.32    0.186     -.5434868     2.802051
           _cons |    10.57818    1.403264      7.54    0.000      7.827837     13.32853
  ---------------+----------------------------------------------------------------
   whpel <-       |
         anxagw2 |    .1957292    .0796628      2.46    0.014       .039593     .3518654
           _cons |    29.56851    2.014496     14.68    0.000      25.62017     33.51685
-----------------+----------------------------------------------------------------
 Variance         |
       e.anxagw2 |    502.7307    37.31617                    434.6637     581.4569
         e.whpel |    1163.704    86.37822                    1006.145     1345.937
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.26, Prob > chi2 = 0.0389

. sem(avgcumdosew2->HP2sxlife)(HP2sxlife->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  HP2sxlife whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood =  -2602.278
Iteration 1:   log likelihood =  -2602.278

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =  -2602.278

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   HP2sxlife <-   |
    avgcumdosew2 |    .0668069    .0163017      4.10    0.000      .0348562     .0987576
           _cons |     .199123     .026803      7.43    0.000      .1465901      .251656
  ---------------+----------------------------------------------------------------
   whpel <-       |
       HP2sxlife |    33.30725    3.731965      8.92    0.000      25.99274     40.62177
           _cons |     23.2119    1.899102     12.22    0.000      19.48973     26.93407
-----------------+----------------------------------------------------------------
 Variance         |
     e.HP2sxlife |    .1834106     .013614                    .1585777     .2121321
         e.whpel |    970.1719    72.01291                    838.8157     1122.098
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      0.33, Prob > chi2 = 0.5673

. sem(avgcumdosew2->drinkspww2)(drinkspww2->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  drinkspww2 whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -2977.9466
Iteration 1:   log likelihood = -2977.9466

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2977.9466

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   drinkspww2 <-  |
    avgcumdosew2 |    .0481502    .0418536      1.15    0.250     -.0338814     .1301818
           _cons |     .614454    .0688152      8.93    0.000      .4795787     .7493293
  ---------------+----------------------------------------------------------------
   whpel <-       |
      drinkspww2 |   -3.734111    1.627115     -2.29    0.022     -6.923199    -.5450237
           _cons |    34.29238    2.087414     16.43    0.000      30.20112     38.38363
-----------------+----------------------------------------------------------------
 Variance         |
    e.drinkspww2 |    1.208999    .0897403                    1.045307     1.398324
         e.whpel |    1166.137    86.55883                    1008.249     1348.751
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      5.63, Prob > chi2 = 0.0176

. sem(avgcumdosew2->depagw2)(depagw2->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  depagw2 whpel


Exogenous variables


Observed:  avgcumdosew2


Fitting target model:

Iteration 0:   log likelihood = -4014.6539
Iteration 1:   log likelihood = -4014.6539

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4014.6539

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   depagw2 <-     |
    avgcumdosew2 |    .9266396    .7350068      1.26    0.207     -.5139472     2.367226
           _cons |    8.991343    1.208489      7.44    0.000      6.622749     11.35994
  ---------------+----------------------------------------------------------------
   whpel <-       |
         depagw2 |    .3245967    .0917199      3.54    0.000      .1448289     .5043645
           _cons |    28.64898    1.990441     14.39    0.000      24.74779     32.55017
-----------------+----------------------------------------------------------------
 Variance         |
       e.depagw2 |     372.857    27.67604                    322.3741     431.2453
         e.whpel |    1143.599     84.8859                     988.762     1322.684
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      4.08, Prob > chi2 = 0.0434

.
. scalar W2FemaleELMed = "age and radfmw2 radhlw2 radchw2 illw2 BSIanx BSIdep icdxcnt hp2sxlife"

. scalar numMedsw2= 9

. scalar numModsw2 = 0

. *-------------------------------------------------------------------------------
.
. title "Wave three Female dose- energy level response model"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****        Wave three Female dose- energy level response model          *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:43  *****
*******************************************************************************
*******************************************************************************


.
. set more off

. des WHPel age educ2-educ7 marrw31-marrw33 marrw35 childw3 ///
>   emplw32-emplw35 occ1w3-occ8w3 inc1w3-inc4w3 radhlw3 radchw3 ///
>   radtlw3 havmil bffel1-bffel4 ///
>    carcin healthef dvcew3 sepaw3 shhlw3 shhousw3 phlthw3 suprtw3 fdferw3 ///
>    dafter near chsize polprw3 icdxcnt

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


WHPel             double   %9.0g                        Wtd Health Profile Pt 1 Energy Level 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


bffel1            float    %9.0g                         max(0, BSIdep-8)


bffel2            float    %9.0g                         max(0, BSIdep-15)


bffel3            float    %9.0g                        max(0, 23-BSIsoma)


bffel4            float    %9.0g                        max(0, phlthw3 - 40)


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


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


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


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


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


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


phlthw3           byte     %8.0g                        level of general physical health now


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


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


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


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


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


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


icdxcnt           byte     %9.0g                        count of icdx illnesses


. set more off

. regress WHPel age educ2-educ7 marrw31-marrw33 marrw35 childw3 ///
>   emplw32-emplw34 occ1w3-occ7w3 inc1w3-inc4w3 radhlw3 radchw3 ///
>   radtlw3 havmil bffel1 bffel2 bffel3 bffel4  ///
>    carcin healthef ///
>     dvcew3 sepaw3 ///
>    shhlw3 shhousw3 phlthw3 suprtw3 illw3 fdferw3 BSIdep BSIanx HP2sxlife MiPTSD ///
>    dafter near chsize polprw3 icdxcnt if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     355
                                                       F( 51,   354) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.5781
                                                       Root MSE      =  24.356

(Std. Err. adjusted for 355 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |   -.2759494    .1769753     -1.56    0.120     -.6240045     .0721057
       educ2 |   -8.067895    11.05898     -0.73    0.466     -29.81746     13.68167
       educ3 |   -7.440623    9.697481     -0.77    0.443     -26.51254      11.6313
       educ4 |   -3.403929    11.03598     -0.31    0.758     -25.10825     18.30039
       educ5 |   -10.54435    10.02808     -1.05    0.294     -30.26645      9.17774
       educ6 |   -13.01428    9.629297     -1.35    0.177      -31.9521      5.92354
       educ7 |   -11.26902    10.53858     -1.07    0.286     -31.99512     9.457073
     marrw31 |   -9.726842    6.650122     -1.46    0.144     -22.80556     3.351872
     marrw32 |   -27.81817    9.612789     -2.89    0.004     -46.72353    -8.912813
     marrw33 |   -9.157711    6.720658     -1.36    0.174     -22.37515     4.059726
     marrw35 |   -2.744385    6.433326     -0.43    0.670     -15.39673      9.90796
     childw3 |    1.010367    2.050155      0.49    0.622     -3.021649     5.042382
     emplw32 |    .4228199    5.706994      0.07    0.941     -10.80106      11.6467
     emplw33 |    37.50265    7.864598      4.77    0.000      22.03544     52.96986
     emplw34 |    5.093332    6.390726      0.80    0.426     -7.475232      17.6619
      occ1w3 |    8.823129     8.30572      1.06    0.289      -7.51163     25.15789
      occ2w3 |    8.448794    8.577043      0.99    0.325     -8.419572     25.31716
      occ3w3 |    11.60145    8.321335      1.39    0.164     -4.764023     27.96691
      occ4w3 |   -2.787309    14.98747     -0.19    0.853     -32.26298     26.68837
      occ5w3 |    12.49563    11.01006      1.13    0.257     -9.157733     34.14899
      occ6w3 |    4.833252    11.20098      0.43    0.666     -17.19558     26.86208
      occ7w3 |    4.094571    7.818663      0.52    0.601      -11.2823     19.47144
      inc1w3 |    1.194498    8.195167      0.15    0.884     -14.92284     17.31183
      inc2w3 |   -5.896874    8.383306     -0.70    0.482     -22.38422     10.59047
      inc3w3 |   -3.097696    8.629219     -0.36    0.720     -20.06868     13.87328
      inc4w3 |    1.719142    11.73389      0.15    0.884     -21.35776     24.79605
     radhlw3 |   -.0227151    .0497342     -0.46    0.648     -.1205267     .0750966
     radchw3 |   -.0655229    .0553316     -1.18    0.237      -.174343     .0432971
     radtlw3 |    .0810456    .0569594      1.42    0.156     -.0309757     .1930669
      havmil |   -.0132362    .0040875     -3.24    0.001      -.021275    -.0051974
      bffel1 |   -4.010318    2.531457     -1.58    0.114     -8.988904      .968268
      bffel2 |   -.3698568    1.830515     -0.20    0.840     -3.969908     3.230194
      bffel3 |   -2.645564    .5180673     -5.11    0.000      -3.66444    -1.626687
      bffel4 |   -.7660239    .3831455     -2.00    0.046     -1.519552    -.0124962
      carcin |   -.0672381    .1551611     -0.43    0.665     -.3723915     .2379152
    healthef |    .0374599    .1556797      0.24    0.810     -.2687136     .3436333
      dvcew3 |   -8.142133    6.675723     -1.22    0.223      -21.2712     4.986931
      sepaw3 |    2.441086    6.781534      0.36    0.719     -10.89608     15.77825
      shhlw3 |    .0901211    .0577369      1.56    0.119     -.0234294     .2036715
    shhousw3 |   -.0818015    .0560894     -1.46    0.146     -.1921118     .0285088
     phlthw3 |    .2729528     .354908      0.77    0.442     -.4250405      .970946
     suprtw3 |   -.0348843    .0580557     -0.60    0.548     -.1490618     .0792931
       illw3 |   -1.645979     1.53538     -1.07    0.284     -4.665592     1.373635
     fdferw3 |    .1288999    .0630745      2.04    0.042       .004852     .2529477
      BSIdep |    3.625769    2.000544      1.81    0.071     -.3086754     7.560214
      BSIanx |    .2801712    .6176859      0.45    0.650     -.9346241     1.494967
   HP2sxlife |    10.30592    4.344755      2.37    0.018      1.761147      18.8507
      MiPTSD |    .1527354    .1988061      0.77    0.443     -.2382541     .5437249
      dafter |    .0229974    .2856012      0.08    0.936     -.5386909     .5846858
        near |   -.0015475    .0455375     -0.03    0.973     -.0911056     .0880105
      chsize |    .1243422    .0569322      2.18    0.030      .0123744       .23631
     polprw3 |   -.0861614    .0442859     -1.95    0.052     -.1732579     .0009351
     icdxcnt |   -.6244865    .6722292     -0.93    0.354     -1.946552     .6975786
       _cons |    48.26341    26.55843      1.82    0.070     -3.968733     100.4956
-------------+----------------------------------------------------------------

.
. scalar fw3wbf = e(r2_a)

.
. title "Wave 3 trimmed Female" "dose energy level response model with basis functions"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****                       Wave 3 trimmed Female                         *****
*****       dose energy level response model with basis functions         *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:43  *****
*******************************************************************************
*******************************************************************************


. des WHPel age educ2-educ7 emplw32-emplw34  radchw3 ///
>     bffel3 bffel4 carcin healthef near chsize icdxcnt

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


WHPel             double   %9.0g                        Wtd Health Profile Pt 1 Energy Level 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


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


emplw33           byte     %8.0g                        emplw3==4. retired


emplw34           byte     %8.0g                        emplw3==5. unemployed


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


bffel3            float    %9.0g                        max(0, 23-BSIsoma)


bffel4            float    %9.0g                        max(0, phlthw3 - 40)


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


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


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


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


icdxcnt           byte     %9.0g                        count of icdx illnesses


.
. set more off

. regress WHPel age ///
>   emplw32-emplw34  marrw31-marrw35  ///
>    havmil  bffel3 bffel4  ///
>    chsize fdferw3 HP2sxlife polprw3  ///
>     if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     363
                                                       F( 15,   362) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.5144
                                                       Root MSE      =   24.55

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    -.252117    .1542576     -1.63    0.103     -.5554706     .0512366
     emplw32 |    4.357057     5.59339      0.78    0.437     -6.642561     15.35668
     emplw33 |    33.44934    3.069158     10.90    0.000      27.41372     39.48496
     emplw34 |    4.811881    4.166662      1.15    0.249     -3.382021     13.00578
     marrw31 |   -10.11324    6.393805     -1.58    0.115     -22.68691     2.460424
     marrw32 |   -24.71168    7.379588     -3.35    0.001     -39.22392    -10.19943
     marrw33 |   -8.780992    5.229694     -1.68    0.094     -19.06539     1.503404
     marrw34 |   -3.701626    9.350764     -0.40    0.692     -22.09027     14.68701
     marrw35 |   -2.184342    6.830966     -0.32    0.749      -15.6177     11.24902
      havmil |   -.0150694    .0032975     -4.57    0.000     -.0215541    -.0085848
      bffel3 |   -2.698612    .3849553     -7.01    0.000     -3.455641    -1.941582
      bffel4 |   -.5140693    .0872611     -5.89    0.000     -.6856716    -.3424671
      chsize |     .098514    .0491847      2.00    0.046      .0017905     .1952375
     fdferw3 |     .119724    .0592927      2.02    0.044      .0031226     .2363255
   HP2sxlife |    9.664466    4.210547      2.30    0.022      1.384261     17.94467
     polprw3 |   -.0993304    .0370265     -2.68    0.008     -.1721445    -.0265163
       _cons |    85.92698    11.35795      7.57    0.000      63.59113     108.2628
-------------+----------------------------------------------------------------

. scalar tw3bf = e(r2_a)

. scalar list tw3bf
     tw3bf =  .49196283

.
. set more off

. regress WHPel age educ2-educ7 marrw31-marrw35 ///
>   emplw32-emplw34   ///
>     HP2sxlife polprw3 ///
>    chsize fdferw3 if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     363
                                                       F( 17,   362) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.3096
                                                       Root MSE      =  29.401

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |    .1579539    .1891972      0.83    0.404     -.2141097     .5300175
       educ2 |   -7.497616    9.945752     -0.75    0.451     -27.05632     12.06109
       educ3 |   -6.881543    8.001235     -0.86    0.390     -22.61628     8.853196
       educ4 |   -11.59169    10.62035     -1.09    0.276     -32.47702     9.293635
       educ5 |   -20.96652    8.388711     -2.50    0.013     -37.46325    -4.469797
       educ6 |   -21.07509    7.968409     -2.64    0.009     -36.74527      -5.4049
       educ7 |   -15.00254    9.506012     -1.58    0.115     -33.69648     3.691407
     marrw31 |   -12.67764    7.668456     -1.65    0.099     -27.75795     2.402678
     marrw32 |   -29.66869    9.062207     -3.27    0.001     -47.48987    -11.84751
     marrw33 |   -5.080588    6.191104     -0.82    0.412     -17.25564     7.094459
     marrw34 |    1.371925    10.14818      0.14    0.893     -18.58486     21.32871
     marrw35 |    2.720602    8.133954      0.33    0.738     -13.27513     18.71634
     emplw32 |   -1.469521    6.487287     -0.23    0.821     -14.22702     11.28798
     emplw33 |    38.93113    3.811978     10.21    0.000      31.43473     46.42753
     emplw34 |    6.819164    4.926195      1.38    0.167      -2.86839     16.50672
   HP2sxlife |    21.56192    4.470366      4.82    0.000      12.77078     30.35307
     polprw3 |   -.0825698    .0424588     -1.94    0.053     -.1660667      .000927
      chsize |     .188766    .0556589      3.39    0.001      .0793106     .2982214
     fdferw3 |    .1841778    .0693084      2.66    0.008      .0478801     .3204755
       _cons |    24.44352    16.52997      1.48    0.140     -8.063301     56.95034
-------------+----------------------------------------------------------------

.
.  scalar tw3nobf=e(r2_a)

.  scalar list tw3nobf
   tw3nobf =  .27136786

.
. title "Wave 3 Female energy level Moderator analysis"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****           Wave 3 Female energy level Moderator analysis             *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:43  *****
*******************************************************************************
*******************************************************************************


.
.  regress WHPel age marrw31-marrw35   ///
>   emplw32-emplw34  ///
>    bffel3 bffel4 HP2sxlife polprw3 ///
>     chsize fdferw3 if gender==2, vce(cluster id)

Linear regression                                      Number of obs =     363
                                                       F( 14,   362) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.5051
                                                       Root MSE      =  24.749

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |   -.2297273    .1544884     -1.49    0.138     -.5335348     .0740802
     marrw31 |   -9.146042    6.344988     -1.44    0.150     -21.62371     3.331623
     marrw32 |   -23.59281    7.300236     -3.23    0.001       -37.949    -9.236609
     marrw33 |   -9.025013    5.189178     -1.74    0.083     -19.22973     1.179707
     marrw34 |    -2.55032    9.311925     -0.27    0.784     -20.86258     15.76194
     marrw35 |   -1.618189    6.794026     -0.24    0.812     -14.97891     11.74253
     emplw32 |     5.30383    5.592294      0.95    0.344     -5.693634     16.30129
     emplw33 |    34.63875    3.045021     11.38    0.000      28.65059      40.6269
     emplw34 |    4.582467    4.219707      1.09    0.278     -3.715751     12.88069
      bffel3 |   -2.734132    .3855286     -7.09    0.000     -3.492289    -1.975975
      bffel4 |    -.503308    .0876302     -5.74    0.000     -.6756362    -.3309797
   HP2sxlife |    10.03827    4.236743      2.37    0.018      1.706546     18.36999
     polprw3 |   -.0959756    .0369922     -2.59    0.010     -.1687222     -.023229
      chsize |    .1004322    .0491846      2.04    0.042      .0037089     .1971556
     fdferw3 |    .0995012    .0627599      1.59    0.114     -.0239186      .222921
       _cons |     83.1245    11.27093      7.38    0.000      60.95978     105.2892
-------------+----------------------------------------------------------------

.
.   foreach var in age marrw31-marrw35 emplw32-emplw34 bffel3 ///
>      bffel4 HP2sxlife polprw3 chsize fdferw3 {
  2.   cap gen `var'Xd3 = `var'*avgcumdosew3
  3.   }

.
.  regress WHPel age educ2-educ7 emplw32-emplw34  ///
>     bffel3 bffel4 HP2sxlife polprw3 chsize fdferw3 ///
>     chsize bffel3Xd3-fdferw3Xd3 if gender==2, vce(cluster id)
note: chsize omitted because of collinearity

Linear regression                                      Number of obs =     363
                                                       F( 20,   362) =       .
                                                       Prob > F      =       .
                                                       R-squared     =  0.5050
                                                       Root MSE      =  25.004

(Std. Err. adjusted for 363 clusters in id)
-------------+----------------------------------------------------------------
             |               Robust
        WHPel |      Coef.    Std. Err.       t    P>|t|      [95% Con f. Interval]
-------------+----------------------------------------------------------------
         age |   -.1145808    .1622602     -0.71    0.481     -.4336718     .2045102
       educ2 |   -1.388224    6.139093     -0.23    0.821     -13.46099     10.68454
       educ3 |   -2.213477    5.065147     -0.44    0.662     -12.17429     7.747332
       educ4 |    .6617375    8.164668      0.08    0.935      -15.3944     16.71787
       educ5 |   -6.697755    6.200127     -1.08    0.281     -18.89055     5.495035
       educ6 |   -7.837643    5.208671     -1.50    0.133      -18.0807      2.40541
       educ7 |    2.100475    10.57725      0.20    0.843     -18.70009     22.90104
     emplw32 |    5.508893    5.975185      0.92    0.357      -6.24154     17.25933
     emplw33 |    35.95774    3.227892     11.14    0.000      29.60997     42.30552
     emplw34 |    2.863078    4.445936      0.64    0.520     -5.880028     11.60618
      bffel3 |    -2.26055    .4447084     -5.08    0.000     -3.135087    -1.386014
      bffel4 |   -.5594371    .1038223     -5.39    0.000     -.7636077    -.3552664
   HP2sxlife |    13.04373     5.03538      2.59    0.010      3.141459       22.946
     polprw3 |   -.1205836    .0461963     -2.61    0.009     -.2114305    -.0297367
      chsize |    .0818657    .0559586      1.46    0.144     -.0281791     .1919105
     fdferw3 |    .1027104    .0755141      1.36    0.175     -.0457909     .2512118
      chsize |           0   (omitted)
   bffel3Xd3 |   -.3512805    .1377059     -2.55    0.011     -.6220845    -.0804764
   bffel4Xd3 |    .0408172    .0360525      1.13    0.258     -.0300814     .1117159
HP2sxlifeXd3 |     -2.3102    1.720596     -1.34    0.180     -5.693818     1.073418
  polprw3Xd3 |    .0232337    .0192761      1.21    0.229     -.0146735      .061141
   chsizeXd3 |    .0211781    .0266518      0.79    0.427     -.0312337     .0735899
  fdferw3Xd3 |   -.0329663    .0235188     -1.40    0.162      -.079217     .0132843
       _cons |    74.30498    11.32952      6.56    0.000      52.02503     96.58493
-------------+----------------------------------------------------------------

.
. *   there are no moderators at wave3 of WHPel analysis
.
.
. // r2 without bf = .153
.
.
. scalar tw3bfw3 = e(r2_a)

.
.
. // r2 with bf = .3109
.
. // r2 due to bf = .1579
.
. // comparison model is identical r2 : here we substituted the components
.
.
. scalar w3numbf = 2

.
. scalar r2chabfw3 = tw3bf - tw3nobf

. scalar avgImpBF = r2chabfw3/w3numbf

. scalar numModsw3 = 0

. scalar numMedsw3 =8

.
. scalar list
W2FemaleELmed = age radfmw3 BSIanx BSIdep icdxcnt radhlw3 illw3 and Hp2sxlife
 numMedsw3 =          8
 numModsw3 =          0
  avgImpBF =  .11029749
 r2chabfw3 =  .22059497
   w3numbf =          2
   tw3bfw3 =  .47297697
W2FemaleELMed = age and radfmw2 radhlw2 radchw2 illw2 BSIanx BSIdep icdxcnt hp2sxlife
   tw3nobf =  .27136786
     tw3bf =  .49196283
    fw3wbf =   .5038513
 numMedsw2 =          9
   tw2bfw2 =  .48481206
avgImpBFw2 = -.00825204
 r2chabfw2 = -.01650409
 NumMedsw2 =          9
 numModsw2 =          0
 w2numbfw2 =          2
 tw2nobfw2 =  .48481206
  tw2wbfw2 =  .46830797
  fw2wbfw2 =  .49768384
W1numMELMeds =          8
W1FemaleELMed = age icdxcnt BSIdep depagw1 BSIanx anxagw1 PTSDw1 HP2sxlife
w1numMElMeds =          2
w1nuFemaleElmods =          0
avgImpBFw1 =  .04665114
   w1numbf =          2
   r2chabf =  .09330229
   tw1nobf =  .42403233
     tw1bf =  .51733462
       fw1 =  .48697432

. matrix define FemaleWHPelr2w3 = (fw3wbf, tw3bf, tw3nobf, w3numbf,  r2chabfw3, avgImpBF, numModsw3, numMedsw3)

. matrix colnames FemaleWHPelr2w3 = FullBFR2a TR2aBF  TR2aNoBF  NumBF  BFR2cha avgImpBF numModsw3 numMedsw3

. matrix rownames FemaleWHPelr2w3 = wave3

. matlist FemaleWHPelr2w3

   | FullBFR2a    TR2aBF    TR2aNoBF    NumBF    BFR2cha    avgImpBF    numModsw3    numMedsw3
-------------+----------------------------------------------------------------------------------------
wave3   |  .5038513     .4919628     .2713679            2      .220595     .1102975            0            8

.
. matrix define FemaleWHPelr2 = (FemaleWHPelr2w1 \ FemaleWHPelr2w2 \ FemaleWHPelr2w3 )

. matlist FemaleWHPelr2

   | FullBFR2a    TR2aBF    TR2aNoBF    NumBF    BFR2cha    AvgImpBF    w1numMods    w1numMeds
-------------+----------------------------------------------------------------------------------------
wave1   |  .4869743     .5173346     .4240323            2     .0933023     .0466511            0            2
wave2   |  .4976838     .4848121     .4848121            2    -.0165041     -.008252            1            9
wave3   |  .5038513     .4919628     .2713679            2      .220595     .1102975            0            8

.
.
.
. title "Wave 3 Female mediation analysis"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****                  Wave 3 Female mediation analysis                   *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:43  *****
*******************************************************************************
*******************************************************************************


.
. title "age, threat to family,  illness during wave 3, and sex life" "are possible Female mediators of energy level in wave 3"


*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****    age, threat to family,  illness during wave 3, and sex life      *****
*****      are possible Female mediators of energy level in wave 3        *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Jun 2012    13:01:43  *****
*******************************************************************************
*******************************************************************************


.
. cap gen whpel = WHPel

. sem(avgcumdosew3->age)(age->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  age whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -3904.5851
Iteration 1:   log likelihood = -3904.5851

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3904.5851

-----------------+----------------------------------------------------------------
                 |                 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
  ---------------+----------------------------------------------------------------
   whpel <-       |
             age |    .9770812    .1434361      6.81    0.000      .6959517     1.258211
           _cons |    -17.2271    7.400508     -2.33    0.020     -31.73183    -2.722368
-----------------+----------------------------------------------------------------
 Variance         |
           e.age |    137.0097    10.16981                    118.4593      158.465
         e.whpel |    1048.966    77.86154                    906.9413     1213.231
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      0.91, Prob > chi2 = 0.3412

. sem(avgcumdosew3->illw3)(illw3->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  illw3 whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood =  -3071.712
Iteration 1:   log likelihood =  -3071.712

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    =  -3071.712

-----------------+----------------------------------------------------------------
                 |                 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
  ---------------+----------------------------------------------------------------
   whpel <-       |
           illw3 |    6.665081    1.512922      4.41    0.000      3.699809     9.630353
           _cons |    27.09975    2.061546     13.15    0.000      23.05919     31.14031
-----------------+----------------------------------------------------------------
 Variance         |
         e.illw3 |    1.300836    .0965571                    1.124709     1.504543
         e.whpel |    1123.014    83.35795                    970.9642     1298.875
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      1.23, Prob > chi2 = 0.2682

. sem(avgcumdosew3->radchw3)(radchw3->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  radchw3 whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -4318.9441
Iteration 1:   log likelihood = -4318.9441

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4318.9441

-----------------+----------------------------------------------------------------
                 |                 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
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radchw3 |    .0304354    .0521068      0.58    0.559     -.0716919     .1325628
           _cons |    29.96576    3.676737      8.15    0.000      22.75949     37.17204
-----------------+----------------------------------------------------------------
 Variance         |
       e.radchw3 |    1192.329    88.50296                    1030.894     1379.044
         e.whpel |    1181.946    87.73224                    1021.917     1367.035
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      3.44, Prob > chi2 = 0.0635

. sem(avgcumdosew3->radhlw3)(radhlw3->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  radhlw3 whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -4306.5072
Iteration 1:   log likelihood = -4306.5072

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4306.5072

-----------------+----------------------------------------------------------------
                 |                 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
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radhlw3 |    .2357876    .0505744      4.66    0.000      .1366636     .3349117
           _cons |    17.45062     3.54919      4.92    0.000      10.49434      24.4069
-----------------+----------------------------------------------------------------
 Variance         |
       e.radhlw3 |    1178.923    87.50785                    1019.303     1363.539
         e.whpel |    1116.219    82.85352                    965.0886     1291.015
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      1.72, Prob > chi2 = 0.1901

. sem(avgcumdosew3->icdxcnt)(icdxcnt->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  icdxcnt whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -3331.1321
Iteration 1:   log likelihood = -3331.1321

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3331.1321

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   icdxcnt <-     |
    avgcumdosew3 |     .152897    .0689688      2.22    0.027      .0177206     .2880735
           _cons |    2.981537    .1466348     20.33    0.000      2.694138     3.268936
  ---------------+----------------------------------------------------------------
   whpel <-       |
         icdxcnt |     2.53141    .7666649      3.30    0.001      1.028775     4.034046
           _cons |    23.82427    3.008826      7.92    0.000      17.92708     29.72146
-----------------+----------------------------------------------------------------
 Variance         |
       e.icdxcnt |    5.311239    .3942371                    4.592126     6.142964
         e.whpel |    1148.561    85.25421                    993.0521     1328.423
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      2.40, Prob > chi2 = 0.1215

. sem(avgcumdosew3->BSIdep)(BSIdep->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  BSIdep whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -3465.6013
Iteration 1:   log likelihood = -3465.6013

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3465.6013

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   BSIdep <-      |
    avgcumdosew3 |    .3811686    .1106861      3.44    0.001      .1642277     .5981094
           _cons |    9.197558    .2353299     39.08    0.000       8.73632     9.658796
  ---------------+----------------------------------------------------------------
   whpel <-       |
          BSIdep |    4.186388    .4271144      9.80    0.000      3.349259     5.023517
           _cons |   -8.585374    4.425493     -1.94    0.052     -17.25918     .0884327
-----------------+----------------------------------------------------------------
 Variance         |
        e.BSIdep |    13.67969    1.015402                    11.82754     15.82189
         e.whpel |     935.476    69.43754                    808.8175     1081.969
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      0.15, Prob > chi2 = 0.6984

. sem(avgcumdosew3->BSIanx)(BSIanx->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  BSIanx whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -3464.9538
Iteration 1:   log likelihood = -3464.9538

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3464.9538

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   BSIanx <-      |
    avgcumdosew3 |    .4074564    .1071377      3.80    0.000      .1974703     .6174425
           _cons |    8.488279    .2277857     37.26    0.000      8.041828     8.934731
  ---------------+----------------------------------------------------------------
   whpel <-       |
          BSIanx |    3.757288    .4534895      8.29    0.000      2.868465     4.646111
           _cons |   -1.895869    4.395133     -0.43    0.666     -10.51017     6.718433
-----------------+----------------------------------------------------------------
 Variance         |
        e.BSIanx |    12.81666    .9513419                    11.08135     14.82371
         e.whpel |    994.9118    73.84928                     860.206     1150.712
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      0.20, Prob > chi2 = 0.6549

. sem(avgcumdosew3->PTSDw3)(PTSDw3->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  PTSDw3 whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -3806.8154
Iteration 1:   log likelihood = -3806.8154

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3806.8154

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   PTSDw3 <-      |
    avgcumdosew3 |    .1887747    .2539819      0.74    0.457     -.3090206       .68657
           _cons |    4.545116    .5399912      8.42    0.000      3.486752     5.603479
  ---------------+----------------------------------------------------------------
   whpel <-       |
          PTSDw3 |    .5096183    .2108654      2.42    0.016      .0963297     .9229069
           _cons |    29.40502    2.054271     14.31    0.000      25.37873     33.43132
-----------------+----------------------------------------------------------------
 Variance         |
        e.PTSDw3 |    72.02699    5.346345                    62.27492     83.30621
         e.whpel |    1164.322    86.42408                    1006.679     1346.651
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      3.30, Prob > chi2 = 0.0694

. sem(avgcumdosew3->radfmw3)(radfmw3->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  radfmw3 whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -4296.5055
Iteration 1:   log likelihood = -4296.5055

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4296.5055

-----------------+----------------------------------------------------------------
                 |                 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
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radfmw3 |    .2435225    .0520586      4.68    0.000      .1414895     .3455556
           _cons |    15.13918    3.976852      3.81    0.000      7.344698     22.93367
-----------------+----------------------------------------------------------------
 Variance         |
       e.radfmw3 |    1116.138    82.84757                    965.0192     1290.923
         e.whpel |    1115.794    82.82203                    964.7218     1290.525
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      1.87, Prob > chi2 = 0.1714

. sem(avgcumdosew3->radtlw3)(radtlw3->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  radtlw3 whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -4321.1324
Iteration 1:   log likelihood = -4321.1324

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4321.1324

-----------------+----------------------------------------------------------------
                 |                 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
  ---------------+----------------------------------------------------------------
   whpel <-       |
         radtlw3 |    .0723078    .0516109      1.40    0.161     -.0288476     .1734633
           _cons |    27.12236    3.816463      7.11    0.000      19.64223     34.60249
-----------------+----------------------------------------------------------------
 Variance         |
       e.radtlw3 |    1212.178    89.97628                    1048.055     1402.001
         e.whpel |    1176.694    87.34241                    1017.376     1360.961
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      3.29, Prob > chi2 = 0.0696

. sem(avgcumdosew3->anxagw3)(anxagw3->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  anxagw3 whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -4170.4615
Iteration 1:   log likelihood = -4170.4615

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4170.4615

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   anxagw3 <-     |
    avgcumdosew3 |    -.089572    .6974788     -0.13    0.898     -1.456605     1.277461
           _cons |    14.38165    1.482911      9.70    0.000       11.4752      17.2881
  ---------------+----------------------------------------------------------------
   whpel <-       |
         anxagw3 |    .2651792    .0761968      3.48    0.001      .1158362     .4145221
           _cons |    28.05175    2.082504     13.47    0.000      23.97011     32.13338
-----------------+----------------------------------------------------------------
 Variance         |
       e.anxagw3 |    543.1902    40.31936                    469.6451     628.2522
         e.whpel |    1144.858    84.97931                    989.8501     1324.139
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      3.80, Prob > chi2 = 0.0513

. sem(avgcumdosew3->HP2sxlife)(HP2sxlife->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  HP2sxlife whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -2690.0318
Iteration 1:   log likelihood = -2690.0318

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -2690.0318

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   HP2sxlife <-   |
    avgcumdosew3 |    .0511344    .0128319      3.98    0.000      .0259844     .0762845
           _cons |    .1974997    .0272819      7.24    0.000      .1440281     .2509713
  ---------------+----------------------------------------------------------------
   whpel <-       |
       HP2sxlife |    33.30725    3.731965      8.92    0.000      25.99274     40.62177
           _cons |     23.2119    1.899102     12.22    0.000      19.48973     26.93407
-----------------+----------------------------------------------------------------
 Variance         |
     e.HP2sxlife |    .1838536    .0136469                    .1589608     .2126445
         e.whpel |    970.1719    72.01291                    838.8157     1122.098
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      0.07, Prob > chi2 = 0.7912

. sem(avgcumdosew3->drinkspww3)(drinkspww3->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  drinkspww3 whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -3147.6621
Iteration 1:   log likelihood = -3147.6621

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -3147.6621

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   drinkspww3 <-  |
    avgcumdosew3 |    -.014337    .0417965     -0.34    0.732     -.0962566     .0675826
           _cons |     .903435    .0888636     10.17    0.000      .7292656     1.077604
  ---------------+----------------------------------------------------------------
   whpel <-       |
      drinkspww3 |    -4.80114    1.267587     -3.79    0.000     -7.285564    -2.316715
           _cons |    36.09171    2.096926     17.21    0.000      31.98181     40.20161
-----------------+----------------------------------------------------------------
 Variance         |
    e.drinkspww3 |    1.950606    .1447875                    1.686504     2.256065
         e.whpel |    1138.079    84.47613                    983.9889     1316.299
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      3.47, Prob > chi2 = 0.0625

. sem(avgcumdosew3->depagw3)(depagw3->whpel) if gender==2, nocapslatent

Endogenous variables


Observed:  depagw3 whpel


Exogenous variables


Observed:  avgcumdosew3


Fitting target model:

Iteration 0:   log likelihood = -4130.3845
Iteration 1:   log likelihood = -4130.3845

Structural equation model                       Number of obs      =       363
 Estimation method = ml
 Log likelihood    = -4130.3845

-----------------+----------------------------------------------------------------
                 |                 OIM
                 |      Coef.    Std. Err.       z    P>|z|      [95% Con f. Interval]
-----------------+----------------------------------------------------------------
 Structural       |
   depagw3 <-     |
    avgcumdosew3 |    .1789491    .6298562      0.28    0.776     -1.055546     1.413445
           _cons |    13.09433    1.339138      9.78    0.000      10.46966     15.71899
  ---------------+----------------------------------------------------------------
   whpel <-       |
         depagw3 |     .359703    .0836622      4.30    0.000      .1957282     .5236779
           _cons |    27.04949    2.083518     12.98    0.000      22.96587     31.13311
-----------------+----------------------------------------------------------------
 Variance         |
       e.depagw3 |    442.9684     32.8802                    382.9928      512.336
         e.whpel |     1125.73     83.5595                     973.312     1302.016
-----------------+----------------------------------------------------------------
LR test of model vs. saturated: chi2(1)   =      3.52, Prob > chi2 = 0.0605

. scalar W2FemaleELmed = "age radfmw3 BSIanx BSIdep icdxcnt radhlw3 illw3 and Hp2sxlife"

.
.
. save chwide26june2012, replace
file chwide26june2012.dta saved