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)
library("lmerTest")
load(file="/Users/meganwilliams/Desktop/IPV and BP 2018/DV1cvd.Rda")
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindexD ~ DV1 + age + PovStat + Race + Sex + (1 | HNDid)
## Data: DV1cvd
##
## REML criterion at convergence: -864.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7459624 -0.5670259 -0.0577419 0.5176318 3.3216664
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.02687407 0.1639331
## Residual 0.01600601 0.1265148
## Number of obs: 1388, groups: HNDid, 558
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 3.533867e-01 1.820447e-02 5.605460e+02 19.41208 < 2.22e-16
## DV1Yes 8.058240e-02 1.817325e-02 5.591087e+02 4.43412 1.1133e-05
## age 5.761211e-03 6.199160e-04 1.317932e+03 9.29353 < 2.22e-16
## PovStatBelow 3.451033e-02 1.634115e-02 5.523093e+02 2.11187 0.035146
## RaceAfrAm 7.755055e-02 1.724406e-02 5.515649e+02 4.49723 8.3975e-06
## SexMen -6.306247e-03 1.716519e-02 5.572715e+02 -0.36739 0.713471
##
## Correlation of Fixed Effects:
## (Intr) DV1Yes age PvSttB RcAfrA
## DV1Yes -0.485
## age -0.117 0.033
## PovStatBelw -0.240 -0.178 0.027
## RaceAfrAm -0.599 0.170 -0.016 -0.194
## SexMen -0.462 0.317 0.021 0.067 -0.049
## Backward reduced random-effect table:
##
## Eliminated npar logLik AIC LRT Df Pr(>Chisq)
## <none> 34 358.77328 -649.54656
## (1 | HNDid) 0 33 126.55116 -187.10232 464.44425 1 < 2.22e-16
##
## Backward reduced fixed-effect table:
## Degrees of freedom method: Satterthwaite
##
## Eliminated Sum Sq Mean Sq NumDF
## DV1:age:PovStat:Sex:Race 1 0.006084414 0.006084414 1
## DV1:PovStat:Sex:Race 2 0.001974004 0.001974004 1
## DV1:age:PovStat:Sex 3 0.003719212 0.003719212 1
## DV1:PovStat:Sex 4 0.000035292 0.000035292 1
## DV1:age:Sex:Race 5 0.007036297 0.007036297 1
## DV1:Sex:Race 6 0.004519125 0.004519125 1
## DV1:age:PovStat:Race 7 0.009908633 0.009908633 1
## DV1:age:PovStat 8 0.003052911 0.003052911 1
## DV1:age:Race 9 0.005673141 0.005673141 1
## DV1:age:Sex 10 0.014408819 0.014408819 1
## DV1:age 11 0.012452863 0.012452863 1
## DV1:Sex 12 0.018028454 0.018028454 1
## DV1:PovStat:Race 13 0.060454759 0.060454759 1
## DV1:PovStat 14 0.000280756 0.000280756 1
## DV1:Race 0 0.109622187 0.109622187 1
## age:PovStat:Sex:Race 0 0.096432957 0.096432957 1
## DenDF F value Pr(>F)
## DV1:age:PovStat:Sex:Race 1333.93281 0.38223 0.5365160
## DV1:PovStat:Sex:Race 554.33730 0.12397 0.7249039
## DV1:age:PovStat:Sex 1295.52798 0.23359 0.6289548
## DV1:PovStat:Sex 571.70418 0.00222 0.9624569
## DV1:age:Sex:Race 1313.15102 0.44215 0.5062049
## DV1:Sex:Race 561.70650 0.28409 0.5942426
## DV1:age:PovStat:Race 1291.87995 0.62298 0.4300882
## DV1:age:PovStat 1269.73769 0.19221 0.6611586
## DV1:age:Race 1289.13133 0.35722 0.5501574
## DV1:age:Sex 1273.79412 0.90726 0.3410224
## DV1:age 1273.16531 0.78225 0.3766208
## DV1:Sex 579.76059 1.13255 0.2876749
## DV1:PovStat:Race 535.72821 3.79786 0.0518397
## DV1:PovStat 546.68574 0.01764 0.8943916
## DV1:Race 543.01983 6.88739 0.0089249
## age:PovStat:Sex:Race 1295.21376 6.05873 0.0139673
##
## Model found:
## CVDindexD ~ DV1 + age + PovStat + Sex + Race + (1 | HNDid) +
## DV1:Race + age:PovStat + age:Sex + age:Race + PovStat:Sex +
## PovStat:Race + Sex:Race + age:PovStat:Sex + age:PovStat:Race +
## age:Sex:Race + PovStat:Sex:Race + age:PovStat:Sex:Race
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindex ~ DV1 + age + PovStat + Sex + Race + CES + (1 | HNDid)
## Data: DV1cvd
##
## REML criterion at convergence: -673.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.99889936 -0.52916742 -0.04676819 0.46932552 3.10343887
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.03080782 0.1755216
## Residual 0.01751727 0.1323528
## Number of obs: 1342, groups: HNDid, 549
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 3.672273e-01 2.028323e-02 6.072869e+02 18.10498 < 2.22e-16
## DV1Yes 5.004692e-02 2.003238e-02 5.874887e+02 2.49830 0.012751
## age 7.503162e-03 6.664393e-04 1.278016e+03 11.25858 < 2.22e-16
## PovStatBelow 1.907325e-02 1.770515e-02 5.478757e+02 1.07727 0.281833
## SexMen -2.708245e-03 1.847050e-02 5.466769e+02 -0.14663 0.883482
## RaceAfrAm 7.971036e-02 1.853579e-02 5.422868e+02 4.30035 2.0225e-05
## CES 2.167625e-04 5.164847e-04 1.307391e+03 0.41969 0.674782
##
## Correlation of Fixed Effects:
## (Intr) DV1Yes age PvSttB SexMen RcAfrA
## DV1Yes -0.400
## age -0.137 0.015
## PovStatBelw -0.204 -0.160 0.017
## SexMen -0.445 0.306 0.018 0.072
## RaceAfrAm -0.563 0.177 -0.017 -0.193 -0.056
## CES -0.273 -0.211 0.087 -0.087 0.001 -0.033
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindex ~ (DV1 + age + PovStat + Sex + Race)^5 + CES + (1 |
## HNDid)
## Data: DV1cvd
##
## REML criterion at convergence: -534.9
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.97951911 -0.53654460 -0.04354923 0.46511222 3.11295062
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.03025961 0.1739529
## Residual 0.01735720 0.1317467
## Number of obs: 1342, groups: HNDid, 549
##
## Fixed effects:
## Estimate Std. Error
## (Intercept) 3.234999e-01 3.131326e-02
## DV1Yes 7.710318e-02 4.782706e-02
## age 3.664329e-03 2.220927e-03
## PovStatBelow -5.911994e-02 6.940696e-02
## SexMen 6.201726e-02 4.328499e-02
## RaceAfrAm 1.339146e-01 3.994885e-02
## CES 2.351889e-04 5.183862e-04
## DV1Yes:age 4.000939e-03 3.810747e-03
## DV1Yes:PovStatBelow 1.492013e-01 8.465747e-02
## DV1Yes:SexMen -1.026029e-01 1.054996e-01
## DV1Yes:RaceAfrAm -2.048981e-02 6.339496e-02
## age:PovStatBelow 4.548146e-03 4.683048e-03
## age:SexMen 4.848429e-03 3.107197e-03
## age:RaceAfrAm 7.578658e-03 2.880756e-03
## PovStatBelow:SexMen 1.938555e-01 1.094209e-01
## PovStatBelow:RaceAfrAm 8.562357e-02 7.788774e-02
## SexMen:RaceAfrAm -6.942114e-02 5.504393e-02
## DV1Yes:age:PovStatBelow -5.831211e-03 6.272804e-03
## DV1Yes:age:SexMen -1.156053e-02 9.185734e-03
## DV1Yes:age:RaceAfrAm -2.270044e-03 4.958259e-03
## DV1Yes:PovStatBelow:SexMen 1.274425e-02 1.822538e-01
## DV1Yes:PovStatBelow:RaceAfrAm -2.061646e-01 1.016882e-01
## DV1Yes:SexMen:RaceAfrAm 5.735825e-02 1.433648e-01
## age:PovStatBelow:SexMen -6.241162e-03 7.284973e-03
## age:PovStatBelow:RaceAfrAm -9.632854e-03 5.346664e-03
## age:SexMen:RaceAfrAm -1.074125e-02 3.990942e-03
## PovStatBelow:SexMen:RaceAfrAm -2.153212e-01 1.203951e-01
## DV1Yes:age:PovStatBelow:SexMen -4.005395e-03 1.466064e-02
## DV1Yes:age:PovStatBelow:RaceAfrAm 6.614107e-03 7.677392e-03
## DV1Yes:age:SexMen:RaceAfrAm 1.427812e-02 1.244010e-02
## DV1Yes:PovStatBelow:SexMen:RaceAfrAm -4.213966e-03 2.192672e-01
## age:PovStatBelow:SexMen:RaceAfrAm 1.285581e-02 8.218568e-03
## DV1Yes:age:PovStatBelow:SexMen:RaceAfrAm 4.527434e-04 1.807121e-02
## df t value Pr(>|t|)
## (Intercept) 5.697260e+02 10.33108 < 2.22e-16
## DV1Yes 5.674029e+02 1.61212 0.10749089
## age 1.259623e+03 1.64991 0.09921078
## PovStatBelow 5.226319e+02 -0.85179 0.39472253
## SexMen 5.406440e+02 1.43277 0.15250272
## RaceAfrAm 5.480044e+02 3.35215 0.00085718
## CES 1.279860e+03 0.45369 0.65012578
## DV1Yes:age 1.252271e+03 1.04991 0.29396238
## DV1Yes:PovStatBelow 5.368665e+02 1.76241 0.07856887
## DV1Yes:SexMen 5.627687e+02 -0.97254 0.33119834
## DV1Yes:RaceAfrAm 5.500898e+02 -0.32321 0.74665996
## age:PovStatBelow 1.238397e+03 0.97119 0.33164148
## age:SexMen 1.259327e+03 1.56039 0.11891974
## age:RaceAfrAm 1.258327e+03 2.63079 0.00862275
## PovStatBelow:SexMen 5.156196e+02 1.77165 0.07704328
## PovStatBelow:RaceAfrAm 5.276383e+02 1.09932 0.27212978
## SexMen:RaceAfrAm 5.483709e+02 -1.26120 0.20777480
## DV1Yes:age:PovStatBelow 1.239542e+03 -0.92960 0.35275816
## DV1Yes:age:SexMen 1.237891e+03 -1.25853 0.20843694
## DV1Yes:age:RaceAfrAm 1.229473e+03 -0.45783 0.64715489
## DV1Yes:PovStatBelow:SexMen 5.725831e+02 0.06993 0.94427713
## DV1Yes:PovStatBelow:RaceAfrAm 5.403423e+02 -2.02742 0.04310991
## DV1Yes:SexMen:RaceAfrAm 5.816123e+02 0.40009 0.68924009
## age:PovStatBelow:SexMen 1.199949e+03 -0.85672 0.39177217
## age:PovStatBelow:RaceAfrAm 1.241587e+03 -1.80166 0.07184189
## age:SexMen:RaceAfrAm 1.257887e+03 -2.69141 0.00720945
## PovStatBelow:SexMen:RaceAfrAm 5.229833e+02 -1.78846 0.07428129
## DV1Yes:age:PovStatBelow:SexMen 1.308658e+03 -0.27321 0.78473686
## DV1Yes:age:PovStatBelow:RaceAfrAm 1.231030e+03 0.86150 0.38912809
## DV1Yes:age:SexMen:RaceAfrAm 1.230235e+03 1.14775 0.25129493
## DV1Yes:PovStatBelow:SexMen:RaceAfrAm 5.811628e+02 -0.01922 0.98467347
## age:PovStatBelow:SexMen:RaceAfrAm 1.217381e+03 1.56424 0.11802131
## DV1Yes:age:PovStatBelow:SexMen:RaceAfrAm 1.291937e+03 0.02505 0.98001632
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindexD ~ DV + age + PovStat + Sex + Race + (1 | HNDid)
## Data: IPVcvd
##
## REML criterion at convergence: -874.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.5529391 -0.5212160 -0.0375750 0.4682071 3.3281023
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.02870616 0.1694289
## Residual 0.01534333 0.1238682
## Number of obs: 1529, groups: HNDid, 738
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 3.915469e-01 1.488554e-02 7.529854e+02 26.30384 < 2.22e-16
## DVYes 2.950281e-02 1.105227e-02 1.163519e+03 2.66939 0.00770474
## age 6.645110e-03 6.129593e-04 1.500912e+03 10.84103 < 2.22e-16
## PovStatBelow 4.967558e-02 1.461495e-02 7.425636e+02 3.39896 0.00071254
## SexMen -2.190657e-02 1.483090e-02 7.441947e+02 -1.47709 0.14007471
## RaceAfrAm 5.563152e-02 1.577009e-02 7.210395e+02 3.52766 0.00044581
##
## Correlation of Fixed Effects:
## (Intr) DVYes age PvSttB SexMen
## DVYes -0.193
## age -0.098 0.157
## PovStatBelw -0.326 -0.083 0.005
## SexMen -0.344 0.097 0.009 0.082
## RaceAfrAm -0.643 0.062 0.053 -0.150 -0.115
## Backward reduced random-effect table:
##
## Eliminated npar logLik AIC LRT Df Pr(>Chisq)
## <none> 34 360.17154 -652.34309
## (1 | HNDid) 0 33 126.81939 -187.63877 466.70432 1 < 2.22e-16
##
## Backward reduced fixed-effect table:
## Degrees of freedom method: Satterthwaite
##
## Eliminated Sum Sq Mean Sq NumDF DenDF
## DV:age:PovStat:Sex:Race 1 0.00000015 0.00000015 1 1181.03627
## DV:age:PovStat:Sex 2 0.00081330 0.00081330 1 1264.06326
## DV:age:Sex:Race 3 0.00547915 0.00547915 1 1187.16173
## DV:age:PovStat:Race 4 0.01155228 0.01155228 1 1166.70639
## DV:age:PovStat 5 0.00027009 0.00027009 1 1208.12873
## DV:age:Race 6 0.02587569 0.02587569 1 1165.94213
## DV:age:Sex 7 0.02087008 0.02087008 1 1271.16858
## DV:age 8 0.02194568 0.02194568 1 1205.57603
## DV:PovStat:Sex:Race 9 0.02225276 0.02225276 1 1236.03240
## DV:PovStat:Race 10 0.00342299 0.00342299 1 1179.54823
## DV:Sex:Race 11 0.00533174 0.00533174 1 1237.59873
## DV:PovStat:Sex 12 0.01802466 0.01802466 1 1258.55132
## DV:PovStat 13 0.00980453 0.00980453 1 1191.87713
## DV:Race 14 0.03099104 0.03099104 1 1167.23145
## DV:Sex 15 0.02480225 0.02480225 1 1260.45082
## age:PovStat:Sex:Race 16 0.03037520 0.03037520 1 1474.45160
## age:PovStat:Race 17 0.00947846 0.00947846 1 1479.73195
## age:PovStat:Sex 18 0.03324537 0.03324537 1 1499.21136
## age:PovStat 19 0.01861445 0.01861445 1 1494.76034
## age:Sex:Race 20 0.02573109 0.02573109 1 1497.25458
## PovStat:Sex:Race 21 0.03547678 0.03547678 1 720.92215
## PovStat:Sex 22 0.00758722 0.00758722 1 737.17407
## age:Race 23 0.04781056 0.04781056 1 1492.70107
## age:Sex 24 0.05607287 0.05607287 1 1505.04874
## DV 0 0.10547238 0.10547238 1 1163.30227
## age 0 1.84760433 1.84760433 1 1497.48033
## PovStat:Race 0 0.09062220 0.09062220 1 721.63061
## Sex:Race 0 0.07745310 0.07745310 1 716.83747
## F value Pr(>F)
## DV:age:PovStat:Sex:Race 0.00001 0.9975458
## DV:age:PovStat:Sex 0.05280 0.8183059
## DV:age:Sex:Race 0.35611 0.5507900
## DV:age:PovStat:Race 0.75120 0.3862743
## DV:age:PovStat 0.01760 0.8944860
## DV:age:Race 1.68771 0.1941606
## DV:age:Sex 1.35992 0.2437702
## DV:age 1.43182 0.2317026
## DV:PovStat:Sex:Race 1.45254 0.2283510
## DV:PovStat:Race 0.22298 0.6368670
## DV:Sex:Race 0.34751 0.5556332
## DV:PovStat:Sex 1.17540 0.2785014
## DV:PovStat 0.63962 0.4240093
## DV:Race 2.02298 0.1552024
## DV:Sex 1.62274 0.2029448
## age:PovStat:Sex:Race 1.98355 0.1592276
## age:PovStat:Race 0.61894 0.4315660
## age:PovStat:Sex 2.17125 0.1408214
## age:PovStat 1.21380 0.2707584
## age:Sex:Race 1.68018 0.1951006
## PovStat:Sex:Race 2.31387 0.1286630
## PovStat:Sex 0.49467 0.4820757
## age:Race 3.11676 0.0776952
## age:Sex 3.65146 0.0562097
## DV 6.87901 0.0088354
## age 120.50249 < 2.22e-16
## PovStat:Race 5.91046 0.0152937
## Sex:Race 5.05156 0.0249070
##
## Model found:
## CVDindexD ~ DV + age + PovStat + Sex + Race + (1 | HNDid) + PovStat:Race +
## Sex:Race
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: CVDindex ~ DV + age + PovStat + Sex + Race + CES + (1 | HNDid)
## Data: IPVcvd
##
## REML criterion at convergence: -673
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.8190002 -0.5074105 -0.0290688 0.4477594 3.1870988
##
## Random effects:
## Groups Name Variance Std.Dev.
## HNDid (Intercept) 0.0321538 0.1793148
## Residual 0.0170842 0.1307066
## Number of obs: 1491, groups: HNDid, 724
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 3.833731e-01 1.722289e-02 8.733395e+02 22.25951 < 2.22e-16
## DVYes 1.192235e-02 1.207891e-02 1.113862e+03 0.98704 0.3238382
## age 8.455106e-03 6.553855e-04 1.462325e+03 12.90097 < 2.22e-16
## PovStatBelow 2.712653e-02 1.575503e-02 7.383000e+02 1.72177 0.0855302
## SexMen -7.487747e-03 1.589221e-02 7.305772e+02 -0.47116 0.6376684
## RaceAfrAm 6.345472e-02 1.681863e-02 7.062761e+02 3.77288 0.0001749
## CES 1.139587e-03 4.805674e-04 1.437671e+03 2.37134 0.0178550
##
## Correlation of Fixed Effects:
## (Intr) DVYes age PvSttB SexMen RcAfrA
## DVYes -0.120
## age -0.117 0.146
## PovStatBelw -0.250 -0.065 -0.003
## SexMen -0.345 0.080 0.010 0.076
## RaceAfrAm -0.595 0.066 0.057 -0.151 -0.116
## CES -0.391 -0.152 0.061 -0.122 0.073 0.013
## Backward reduced random-effect table:
##
## Eliminated npar logLik AIC LRT Df Pr(>Chisq)
## <none> 35 265.141400 -460.28280
## (1 | HNDid) 0 34 40.374973 -12.74995 449.53286 1 < 2.22e-16
##
## Backward reduced fixed-effect table:
## Degrees of freedom method: Satterthwaite
##
## Eliminated Sum Sq Mean Sq NumDF
## DV:age:PovStat:Sex:Race 1 0.015477238 0.015477238 1
## DV:age:Sex:Race 2 0.000070357 0.000070357 1
## DV:age:PovStat:Sex 3 0.000108188 0.000108188 1
## DV:PovStat:Sex:Race 4 0.009037388 0.009037388 1
## DV:Sex:Race 5 0.007626627 0.007626627 1
## DV:PovStat:Sex 6 0.012786024 0.012786024 1
## DV:age:Sex 7 0.014692088 0.014692088 1
## DV:Sex 8 0.016874905 0.016874905 1
## DV:age:PovStat:Race 9 0.017253987 0.017253987 1
## DV:age:PovStat 10 0.007907838 0.007907838 1
## DV:age:Race 11 0.013810227 0.013810227 1
## DV:age 12 0.005173192 0.005173192 1
## DV:PovStat:Race 13 0.040151898 0.040151898 1
## DV:PovStat 14 0.011311749 0.011311749 1
## age:PovStat:Sex:Race 15 0.052913636 0.052913636 1
## age:PovStat:Race 16 0.010914080 0.010914080 1
## PovStat:Sex:Race 17 0.031960059 0.031960059 1
## age:PovStat:Sex 18 0.050924772 0.050924772 1
## age:PovStat 19 0.003225679 0.003225679 1
## PovStat:Sex 20 0.020358766 0.020358766 1
## age:Sex:Race 21 0.040548978 0.040548978 1
## age:Race 22 0.043884034 0.043884034 1
## PovStat:Race 23 0.065809777 0.065809777 1
## PovStat 24 0.056107813 0.056107813 1
## CES 0 0.127393586 0.127393586 1
## DV:Race 0 0.121611227 0.121611227 1
## age:Sex 0 0.113603836 0.113603836 1
## Sex:Race 0 0.128735448 0.128735448 1
## DenDF F value Pr(>F)
## DV:age:PovStat:Sex:Race 1151.08722 0.90724 0.3410475
## DV:age:Sex:Race 1151.72232 0.00412 0.9488458
## DV:age:PovStat:Sex 1236.74421 0.00634 0.9365560
## DV:PovStat:Sex:Race 1205.41140 0.52996 0.4667670
## DV:Sex:Race 1197.10206 0.44700 0.5038898
## DV:PovStat:Sex 1223.09399 0.74973 0.3867315
## DV:age:Sex 1236.33940 0.86207 0.3533404
## DV:Sex 1226.17450 0.99150 0.3195714
## DV:age:PovStat:Race 1148.59600 1.01252 0.3145110
## DV:age:PovStat 1196.00892 0.46483 0.4955050
## DV:age:Race 1143.71564 0.81195 0.3677340
## DV:age 1190.76503 0.30413 0.5814080
## DV:PovStat:Race 1159.16387 2.36294 0.1245209
## DV:PovStat 1171.47699 0.66470 0.4150697
## age:PovStat:Sex:Race 1432.82145 3.11060 0.0779975
## age:PovStat:Race 1435.63735 0.64081 0.4235486
## PovStat:Sex:Race 695.08852 1.87567 0.1712691
## age:PovStat:Sex 1458.05315 2.98753 0.0841198
## age:PovStat 1451.72210 0.18915 0.6636881
## PovStat:Sex 716.56301 1.19538 0.2746137
## age:Sex:Race 1451.82059 2.38035 0.1230880
## age:Race 1436.75673 2.57163 0.1090152
## PovStat:Race 713.90397 3.84962 0.0501454
## PovStat 732.70684 3.27706 0.0706640
## CES 1448.25701 7.43240 0.0064832
## DV:Race 1104.15333 7.09504 0.0078423
## age:Sex 1464.14900 6.62788 0.0101370
## Sex:Race 709.33282 7.51068 0.0062877
##
## Model found:
## CVDindex ~ DV + age + Sex + Race + CES + (1 | HNDid) + DV:Race +
## age:Sex + Sex:Race