Models 1-4 ran on dataset that only includes IPV at wave 1
Models 5-8 ran on dataset that includes IPV at waves 1, 3, and 4
The CVD index variable includes: Hypertension,diabetes,smoking, total cholesterol, triglycerides, BMI, and depression.
There are two versions of the CVD index variable: One that includes depression (CVDindexD) and one that does not include depression (CVDindex)
load(file="/Users/meganwilliams/Desktop/IPV and BP 2018/DV1cvd2.Rda")
load(file="/Users/meganwilliams/Desktop/IPV and BP 2018/IPVcvd2.Rda")
library("lmerTest")
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindexD ~ DV1 + age + PovStat + Sex + (1 | HNDid)
## Data: DV1cvd2
##
## REML criterion at convergence: -819.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7201157 -0.5621003 -0.0508861 0.5124748 3.3329016
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.02823851 0.1680432
## Residual 0.01615082 0.1270859
## Number of obs: 1366, groups: HNDid, 558
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.115822e-01 1.486239e-02 5.595103e+02 27.69287 < 2.22e-16
## DV1Yes 5.647624e-02 1.819240e-02 5.589552e+02 3.10439 0.0020033
## age 5.694915e-03 6.383810e-04 1.302835e+03 8.92087 < 2.22e-16
## PovStatBelow 5.137030e-02 1.627343e-02 5.551728e+02 3.15670 0.0016822
## SexMen -4.062389e-03 1.754451e-02 5.607280e+02 -0.23155 0.8169739
##
## Correlation of Fixed Effects:
## (Intr) DV1Yes age PvSttB
## DV1Yes -0.485
## age -0.136 0.025
## PovStatBelw -0.467 -0.135 0.011
## SexMen -0.599 0.325 0.019 0.045
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindexD ~ (DV1 + age + PovStat + Sex)^4 + (1 | HNDid)
## Data: DV1cvd2
##
## REML criterion at convergence: -736.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.6571777 -0.5619355 -0.0466847 0.4963592 3.3531575
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.02879120 0.1696797
## Residual 0.01611807 0.1269570
## Number of obs: 1366, groups: HNDid, 558
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 4.075340e-01 1.871945e-02 5.525219e+02
## DV1Yes 6.757775e-02 3.004864e-02 5.547460e+02
## age 4.571227e-03 1.363941e-03 1.282134e+03
## PovStatBelow 6.292570e-02 2.848772e-02 5.656238e+02
## SexMen 1.136675e-04 2.603921e-02 5.635614e+02
## DV1Yes:age 3.181916e-03 2.341701e-03 1.270380e+03
## DV1Yes:PovStatBelow -2.301218e-02 4.226187e-02 5.656329e+02
## DV1Yes:SexMen -3.332867e-02 6.895055e-02 5.937681e+02
## age:PovStatBelow -5.041327e-04 2.111825e-03 1.291854e+03
## age:SexMen 1.424061e-03 1.931763e-03 1.293314e+03
## PovStatBelow:SexMen -8.244450e-03 4.127707e-02 5.687892e+02
## DV1Yes:age:PovStatBelow -1.261666e-03 3.341610e-03 1.282330e+03
## DV1Yes:age:SexMen -3.777608e-03 5.989259e-03 1.276984e+03
## DV1Yes:PovStatBelow:SexMen 2.199778e-02 9.179008e-02 5.886027e+02
## age:PovStatBelow:SexMen 1.595571e-03 3.140496e-03 1.306128e+03
## DV1Yes:age:PovStatBelow:SexMen 2.995830e-04 7.860076e-03 1.283218e+03
## t value Pr(>|t|)
## (Intercept) 21.77062 < 2.22e-16
## DV1Yes 2.24895 0.0249075
## age 3.35149 0.0008272
## PovStatBelow 2.20887 0.0275837
## SexMen 0.00437 0.9965186
## DV1Yes:age 1.35881 0.1744495
## DV1Yes:PovStatBelow -0.54451 0.5863024
## DV1Yes:SexMen -0.48337 0.6290108
## age:PovStatBelow -0.23872 0.8113614
## age:SexMen 0.73718 0.4611455
## PovStatBelow:SexMen -0.19973 0.8417597
## DV1Yes:age:PovStatBelow -0.37756 0.7058183
## DV1Yes:age:SexMen -0.63073 0.5283297
## DV1Yes:PovStatBelow:SexMen 0.23965 0.8106826
## age:PovStatBelow:SexMen 0.50806 0.6114947
## DV1Yes:age:PovStatBelow:SexMen 0.03811 0.9696023
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindex ~ DV1 + age + PovStat + Sex + CES + (1 | HNDid)
## Data: DV1cvd2
##
## REML criterion at convergence: -632.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.9780738 -0.5335924 -0.0342041 0.4781005 3.1145643
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.03205711 0.1790450
## Residual 0.01772482 0.1331346
## Number of obs: 1319, groups: HNDid, 550
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.315430e-01 1.701201e-02 6.494521e+02 25.36696 < 2e-16
## DV1Yes 1.940884e-02 1.993547e-02 5.845703e+02 0.97358 0.330666
## age 7.421569e-03 6.869360e-04 1.261515e+03 10.80387 < 2e-16
## PovStatBelow 3.445421e-02 1.755651e-02 5.518926e+02 1.96248 0.050209
## SexMen -6.260276e-03 1.879134e-02 5.499204e+02 -0.33315 0.739150
## CES 3.494089e-04 5.239680e-04 1.272235e+03 0.66685 0.504988
##
## Correlation of Fixed Effects:
## (Intr) DV1Yes age PvSttB SexMen
## DV1Yes -0.368
## age -0.159 0.005
## PovStatBelw -0.397 -0.117 -0.001
## SexMen -0.560 0.317 0.017 0.049
## CES -0.356 -0.207 0.095 -0.095 -0.005
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindex ~ (DV1 + age + PovStat + Sex)^4 + CES + (1 | HNDid)
## Data: DV1cvd2
##
## REML criterion at convergence: -550.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.94099532 -0.53705968 -0.04034551 0.47454709 3.13791127
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.03266784 0.1807425
## Residual 0.01769926 0.1330386
## Number of obs: 1319, groups: HNDid, 550
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 4.249954e-01 2.097115e-02 6.125646e+02
## DV1Yes 2.949254e-02 3.243632e-02 5.581725e+02
## age 6.930214e-03 1.463552e-03 1.252633e+03
## PovStatBelow 4.467027e-02 3.062527e-02 5.568913e+02
## SexMen 2.988180e-03 2.776412e-02 5.527646e+02
## CES 3.639951e-04 5.273022e-04 1.256096e+03
## DV1Yes:age 3.527796e-03 2.492991e-03 1.225750e+03
## DV1Yes:PovStatBelow -1.552952e-02 4.534302e-02 5.570592e+02
## DV1Yes:SexMen -4.361439e-02 7.348263e-02 5.868415e+02
## age:PovStatBelow -4.983858e-04 2.259144e-03 1.253439e+03
## age:SexMen 5.091187e-04 2.067651e-03 1.255951e+03
## PovStatBelow:SexMen -5.266129e-03 4.441910e-02 5.569923e+02
## DV1Yes:age:PovStatBelow -2.290661e-03 3.577916e-03 1.237148e+03
## DV1Yes:age:SexMen -5.093520e-03 6.335346e-03 1.241820e+03
## DV1Yes:PovStatBelow:SexMen 1.609751e-02 9.807452e-02 5.818448e+02
## age:PovStatBelow:SexMen 5.493345e-06 3.369158e-03 1.261785e+03
## DV1Yes:age:PovStatBelow:SexMen 2.063773e-03 8.401625e-03 1.239561e+03
## t value Pr(>|t|)
## (Intercept) 20.26572 < 2.22e-16
## DV1Yes 0.90924 0.36361
## age 4.73520 2.4377e-06
## PovStatBelow 1.45861 0.14524
## SexMen 0.10763 0.91433
## CES 0.69030 0.49013
## DV1Yes:age 1.41509 0.15730
## DV1Yes:PovStatBelow -0.34249 0.73211
## DV1Yes:SexMen -0.59353 0.55305
## age:PovStatBelow -0.22061 0.82543
## age:SexMen 0.24623 0.80554
## PovStatBelow:SexMen -0.11856 0.90567
## DV1Yes:age:PovStatBelow -0.64022 0.52215
## DV1Yes:age:SexMen -0.80398 0.42156
## DV1Yes:PovStatBelow:SexMen 0.16414 0.86968
## age:PovStatBelow:SexMen 0.00163 0.99870
## DV1Yes:age:PovStatBelow:SexMen 0.24564 0.80600
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindexD ~ DV + age + PovStat + Sex + (1 | HNDid)
## Data: IPVcvd2
##
## REML criterion at convergence: -872.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.6368168 -0.5247114 -0.0385184 0.4744979 3.3619478
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.02953992 0.1718718
## Residual 0.01518539 0.1232290
## Number of obs: 1528, groups: HNDid, 738
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.270200e-01 1.168648e-02 7.670706e+02 36.53967 < 2.22e-16
## DVYes 2.590384e-02 1.101555e-02 1.159768e+03 2.35157 0.01886089
## age 6.242718e-03 6.133880e-04 1.505895e+03 10.17744 < 2.22e-16
## PovStatBelow 5.681340e-02 1.455410e-02 7.436070e+02 3.90360 0.00010338
## SexMen -2.137905e-02 1.482976e-02 7.503869e+02 -1.44163 0.14982360
##
## Correlation of Fixed Effects:
## (Intr) DVYes age PvSttB
## DVYes -0.205
## age -0.097 0.159
## PovStatBelw -0.565 -0.067 0.019
## SexMen -0.555 0.110 0.020 0.070
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindexD ~ (DV + age + PovStat + Sex)^4 + (1 | HNDid)
## Data: IPVcvd2
##
## REML criterion at convergence: -792.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7487293 -0.5339062 -0.0147070 0.4733827 3.1834735
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.02923378 0.1709789
## Residual 0.01526288 0.1235430
## Number of obs: 1528, groups: HNDid, 738
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 4.311031e-01 1.316718e-02 8.136969e+02
## DVYes 9.016199e-03 1.710775e-02 1.075689e+03
## age 6.636488e-03 1.064271e-03 1.509763e+03
## PovStatBelow 4.976386e-02 1.959997e-02 8.582151e+02
## SexMen -2.743597e-02 1.982626e-02 7.820527e+02
## DVYes:age 9.871213e-04 1.994894e-03 1.128465e+03
## DVYes:PovStatBelow 2.380670e-02 2.473057e-02 1.156272e+03
## DVYes:SexMen 7.054491e-02 4.089934e-02 1.178559e+03
## age:PovStatBelow 1.163094e-04 1.642964e-03 1.509459e+03
## age:SexMen -2.846361e-03 1.620127e-03 1.511316e+03
## PovStatBelow:SexMen 6.494623e-03 3.117671e-02 8.253093e+02
## DVYes:age:PovStatBelow 7.576737e-04 2.941175e-03 1.188291e+03
## DVYes:age:SexMen 2.833440e-03 4.849032e-03 1.138975e+03
## DVYes:PovStatBelow:SexMen -4.171938e-02 5.740308e-02 1.267113e+03
## age:PovStatBelow:SexMen 3.034850e-03 2.692733e-03 1.511053e+03
## DVYes:age:PovStatBelow:SexMen 7.898835e-04 6.844741e-03 1.256373e+03
## t value Pr(>|t|)
## (Intercept) 32.74073 < 2.22e-16
## DVYes 0.52702 0.598286
## age 6.23571 5.8253e-10
## PovStatBelow 2.53898 0.011293
## SexMen -1.38382 0.166808
## DVYes:age 0.49482 0.620821
## DVYes:PovStatBelow 0.96264 0.335928
## DVYes:SexMen 1.72484 0.084818
## age:PovStatBelow 0.07079 0.943572
## age:SexMen -1.75687 0.079142
## PovStatBelow:SexMen 0.20832 0.835033
## DVYes:age:PovStatBelow 0.25761 0.796753
## DVYes:age:SexMen 0.58433 0.559113
## DVYes:PovStatBelow:SexMen -0.72678 0.467495
## age:PovStatBelow:SexMen 1.12705 0.259899
## DVYes:age:PovStatBelow:SexMen 0.11540 0.908146
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindex ~ DV + age + PovStat + Sex + CES + (1 | HNDid)
## Data: IPVcvd2
##
## REML criterion at convergence: -676.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.8633779 -0.5136317 -0.0234285 0.4427141 3.2635232
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.03368739 0.1835412
## Residual 0.01665773 0.1290648
## Number of obs: 1492, groups: HNDid, 725
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.226692e-01 1.416577e-02 9.586850e+02 29.83737 < 2e-16
## DVYes 7.573167e-03 1.197296e-02 1.106923e+03 0.63252 0.527176
## age 8.073929e-03 6.551394e-04 1.473102e+03 12.32399 < 2e-16
## PovStatBelow 3.656754e-02 1.575119e-02 7.409418e+02 2.32157 0.020526
## SexMen -5.462592e-03 1.596787e-02 7.391808e+02 -0.34210 0.732374
## CES 1.140067e-03 4.806992e-04 1.425014e+03 2.37169 0.017839
##
## Correlation of Fixed Effects:
## (Intr) DVYes age PvSttB SexMen
## DVYes -0.105
## age -0.116 0.149
## PovStatBelw -0.440 -0.048 0.010
## SexMen -0.526 0.091 0.021 0.063
## CES -0.468 -0.151 0.063 -0.117 0.077
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindex ~ (DV + age + PovStat + Sex)^4 + CES + (1 | HNDid)
## Data: IPVcvd2
##
## REML criterion at convergence: -596.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.9816137 -0.5130156 -0.0353572 0.4564554 3.2501402
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.03333267 0.1825724
## Residual 0.01675530 0.1294423
## Number of obs: 1492, groups: HNDid, 725
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 4.258089e-01 1.557842e-02 9.614058e+02
## DVYes -6.472035e-03 1.847849e-02 1.030960e+03
## age 9.463890e-03 1.134440e-03 1.473906e+03
## PovStatBelow 2.632197e-02 2.110976e-02 8.455116e+02
## SexMen -1.250291e-02 2.125483e-02 7.681851e+02
## CES 1.197088e-03 4.826251e-04 1.421462e+03
## DVYes:age -4.001533e-05 2.162406e-03 1.100689e+03
## DVYes:PovStatBelow 2.344054e-02 2.669555e-02 1.128454e+03
## DVYes:SexMen 5.001893e-02 4.335511e-02 1.142191e+03
## age:PovStatBelow -1.146938e-03 1.758315e-03 1.472983e+03
## age:SexMen -4.184083e-03 1.725539e-03 1.474757e+03
## PovStatBelow:SexMen 1.754153e-02 3.354343e-02 8.067506e+02
## DVYes:age:PovStatBelow 2.090494e-03 3.156803e-03 1.162832e+03
## DVYes:age:SexMen 6.060489e-04 5.132249e-03 1.102009e+03
## DVYes:PovStatBelow:SexMen -3.278407e-02 6.120912e-02 1.232239e+03
## age:PovStatBelow:SexMen 3.677596e-03 2.870199e-03 1.474667e+03
## DVYes:age:PovStatBelow:SexMen 3.261528e-03 7.277122e-03 1.219242e+03
## t value Pr(>|t|)
## (Intercept) 27.33326 < 2e-16
## DVYes -0.35025 0.726225
## age 8.34235 < 2e-16
## PovStatBelow 1.24691 0.212776
## SexMen -0.58824 0.556545
## CES 2.48037 0.013240
## DVYes:age -0.01851 0.985239
## DVYes:PovStatBelow 0.87807 0.380093
## DVYes:SexMen 1.15370 0.248863
## age:PovStatBelow -0.65229 0.514314
## age:SexMen -2.42480 0.015436
## PovStatBelow:SexMen 0.52295 0.601153
## DVYes:age:PovStatBelow 0.66222 0.507962
## DVYes:age:SexMen 0.11809 0.906021
## DVYes:PovStatBelow:SexMen -0.53561 0.592326
## age:PovStatBelow:SexMen 1.28130 0.200289
## DVYes:age:PovStatBelow:SexMen 0.44819 0.654096