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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 2.

Multilevel Models of Race-ethnicity, Gender, SES and 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 20.878*** 20.058*** 21.146*** 21.134*** 21.289*** 21.253***
Race (ref. White)
 Black .579*** 2.991*** .341 2.375*** .178 2.713***
 Hispanic 1.361*** 1.417*** 1.051*** .733* 1.123*** .367
SES
 Parental Education −.071* −.174*** −.207*** −.278***
 Parental Net Worth −.052* −.028 −.077** −.064*
Race × SES
 Black × Parental Education .214* .145
 Hispanic × Parental Education .184** .142
 Black × Parental Net Worth .030 .144***
 Hispanic × Parental Net Worth .057 −.038
Age .709*** .678*** .709*** .678*** .709*** .678***
Age2 −.016*** −.013*** −.016*** −.013*** −.016*** −.013***

Random Effects

 Level 1 Residual 2.392*** 2.873*** 2.392*** 2.873*** 2.392*** 2.873***
 Level 2 Intercept 4.557*** 5.651*** 4.542*** 5.593*** 4.534*** 5.572***

−2 Log Likelihood 10469712 10117096 10468625 10113934 10467976 10112768

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 < .001