Table 4.

Fixed-Effects Linear Regression Models Predicting Body Mass Index: Non-Hispanic White 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)	0.562^***	0.033	0.562^***	0.033	0.560^***	0.033
Educational Attainment (ref.=college or above)
Less than high school	−0.459^***	0.109	−0.447^***	0.109	−0.448^***	0.109
High school graduate	−0.065	0.087	−0.054	0.087	−0.056	0.087
Some college	0.129^*	0.065	0.129^*	0.065	0.126⁺	0.065
Weekly hours worked	−0.003^***	0.001	−0.004^***	0.001	−0.004^***	0.001
Adjusted family income (in $10,000s)	−0.005^***	0.001	−0.005^***	0.001	−0.005^***	0.001
Receiving public assistance (= 1)	0.232^**	0.087	0.232^**	0.087	0.232^**	0.087
Immediate Neighborhood Variables
Proportion non-Hispanic White	0.008	0.112	−0.100	0.120	−0.109	0.120
Poverty Rate	0.977^***	0.210	0.649^**	0.235	0.783^**	0.238
Cumulative Exposure to Immediate Neighborhood Variables
Proportion non-Hispanic White			0.456^*	0.213	0.454^*	0.213
Poverty Rate			1.794^**	0.578	1.789^**	0.578
Extralocal Neighborhood Variables
Proportion non-Hispanic White					−0.074	0.043
Poverty Rate					−0.597^**	0.182
Constant	22.491^***	0.142	22.066^***	0.203	22.133^***	0.203

R² squared (within)	0.33		0.34		0.34
Number of Persons	5,784		5,784		5,784

Number of Person-years	50,584		50,584		50,584

⁺

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).