Table 2:

Cross-Sectional Logistic Regression Model Predicting Obesity in 2014

	N = 6,868
Independent Variables	OR	95% CI
Rural	1.325***	[1.126,1.559]
Persistent Poverty County	0.938	[0.723,1.218]
Region (South)	1.000
Northeast	0.951	[0.793,1.141]
North Central	0.980	[0.842,1.141]
West	0.775**	[0.649,0.926]
Age	0.972*	[0.947,0.998]
Male	1.047	[0.929,1.180]
Race/Ethnicity (Non-Black, Non-Hispanic)	1.000
Black, Non-Hispanic	1.624***	[1.415,1.863]
Hispanic	1.441**	[1.137,1.826]
Education (12 years)	1.000
< 12 years	0.890	[0.707,1.120]
13-15 years	0.940	[0.807,1.094]
16 or more years	0.651***	[0.556,0.761]
Logged family income	1.039*	[1.006,1.073]
Employment last year (50-52 weeks)	1.000
1 to 49 weeks	0.985	[0.814,1.192]
0 weeks	1.169	[0.997,1.369]
Marital status (Never married)	1.000
Married	0.796*	[0.649,0.976]
Formerly Married	0.923	[0.760,1.119]
Family Size	1.051	[0.997,1.106]
Born outside USA	0.793	[0.594,1.059]
Non-English in childhood home	1.037	[0.828,1.298]

Note: Data come from National Longitudinal Survey of Youth 1979 Cohort, 2014 survey. Missing data imputed. Model weighted with 2014 cross-sectional sampling weights. Reference group of categorical variables in parentheses.

^*p < 0.05,

^**p < 0.01,

^***p < 0.001