Skip to main content
. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: Soc Sci Med. 2018 Sep 27;217:45–54. doi: 10.1016/j.socscimed.2018.09.055

Table 2.

Fixed-Effects Linear Regression Models Predicting Body Mass Index: Non-Hispanic Black National Longitudinal Survey of Youth Respondents, 1981–2010

Model A Model B Model C

Independent Variables Coef. S.E. Coef. S.E. Coef. S.E.
  Marital Status (1= married)  0.608*** 0.064  0.608*** 0.064  0.608*** 0.064
  Educational Attainment (ref.=college or above)
    Less than high school −0.816*** 0.209 −0.811*** 0.210 −0.819*** 0.210
    High school graduate −1.029*** 0.171 −1.027*** 0.172 −1.029*** 0.172
    Some college −0.417** 0.133 −0.417** 0.133 −0.422** 0.133
  Weekly hours worked 0.004** 0.001 0.004** 0.001 0.004** 0.001
  Adjusted family income (in $10,000s) −0.002 0.003 −0.002 0.003 −0.002 0.003
  Receiving public assistance (= 1)  0.261* 0.102  0.260* 0.102  0.262* 0.102
Immediate Neighborhood Variables
  Proportion non−Hispanic Black  0.096 0.111  0.121 0.131  0.103 0.136
  Poverty Rate −0.247 0.242 −0.273 0.276 −0.074 0.287
Cumulative Exposure to Immediate Neighborhood Variables
  Proportion non−Hispanic Black −0.127 0.349 −0.114 0.349
  Poverty Rate  0.151 0.796  0.158 0.796
Extralocal Neighborhood Variables
  Proportion non−Hispanic Black  0.096 0.164
  Poverty Rate −0.780* 0.337
Constant 23.596*** 0.199 23.619*** 0.241 23.638*** 0.241

R2 squared (within) 0.41 0.41 0.41
Number of Persons 2,097 2,097 2,097

Number of Person−years 19,952 19,952 19,952
+

p< 0.1

*

p< 0.05

**

p< 0.01

***

p< 0.001.

Note: All models include dummy variables for year of observation (coefficients not shown).