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. Author manuscript; available in PMC: 2019 Jun 12.
Published in final edited form as: J Health Soc Behav. 2018 Jan 4;59(1):56–73. doi: 10.1177/0022146517746672

Table 3.

Growth Curve Models of the Joint Impacts of Race-ethnicity, Gender, SES, and Aging on BMI; NLSY97,Waves 1–15

Model 1 Model 2 Model 3

Fixed Effects a Men Women bm≠w Men Women m≠w Men Women m≠w
Intercept 20.745*** 20.121*** 20.869*** 20.693*** 21.026*** 20.816***
 Race (ref. White)
  Black .690*** 2.062*** .507* 1.777*** .318 1.709***
  Hispanic .707*** .888*** .508* .665** .400 .522
SES
  Parental Education −.030 −.055*** −.127** −.129***
  Parental Net Worth .−065** −.007*** −.063** −.015
Race × SES
  Black × Parental Education .181 .184
  Hispanic × Parental Education .125 .079
  Black × Parental Net Worth −.002 .027
  Hispanic × Parental Net Worth .000 −.003
Linear Slope (Age) .749*** .689*** .778*** .739*** .777*** .744***
 Race (ref. White)
  Black −.005 .106*** −.018 .076*** −.018 .109***
  Hispanic .076*** .052* .054** .003 .070*** −.020
 SES
  Parental Education −.007* −.013*** −.011** −.021***
  Parental Net Worth .002 −.001 −.001 −.005
Race × SES
  Black × Parental Education .008 .007
  Hispanic × Parental Education .005 .011
  Black × Parental Net Worth .003 .012***
  Hispanic × Parental Net Worth .006* −.002
Quadratic Slope (Age2) −.019*** −.015*** −.019*** −.015*** −.019*** −.015***

Random Effects

  Level 1 Residual 1.865*** 2.180*** 1.865*** 2.180*** 1.865*** 2.180***
  Level 2 Age .772*** .768*** .773*** .765*** .772*** .762***
  Level 2 Age2 .040*** .039*** .040*** .039*** .040*** .039***
  Level 2 Intercept 4.240*** 4.056*** 4.228*** 4.048*** 4.221*** 4.041***

−2 Log Likelihood 9931576 9503493 9929803 9500248 9928927 9498583

N 3711 3494 3711 3494 3711 3494

Note: BMI=body=mass index; SES=socioeconomic status; NLSY97= National Longitudinal Survey of Youth 1997 cohort.

a

All models control for proportion of waves missing, urban residence, whether the respondent was ever incarcerated, and missing on parental net worth

b

‘m≠w’ indicates Chow tests for differences between men and women

*

p < .05

**

p < .01

***

p <0.001