Table 4.

Multivariable models predicting obesity odds

	Model 1b		Model 2c
	OR	(95% CI)	OR	(95% CI)
Group-level predictor
Access to food retailersa
Supermarkets	0.936	(0.882, 0.994)*	0.932	(0.877, 0.990)*
Convenience stores	1.013	(1.001, 1.024)*	–	–
Fast food restaurants	–	–	1.012	(1.003, 1.022)*
Individual-level predictors
Gender
Female (reference)
Male	0.836	(0.707, 0.987)*	0.836	(0.707, 0.987)*
Race/ethnicity
White (reference)
Black	2.859	(2.351, 3.476)**	2.850	(2.344, 3.465)**
Latino	1.233	(0.735, 2.069)	1.233	(0.735, 2.070)
Other	1.505	(0.957, 2.367)	1.502	(0.955, 2.362)
Poverty index ratio
Below 1.00 (reference)
1.00–1.85	0.975	(0.783, 1.214)	0.980	(0.787, 1.220)
>1.85	0.774	(0.626, 0.957)*	0.779	(0.630, 0.963)*
Age, years
18–30 (reference)
31–50	1.859	(1.448, 2.387)**	1.861	(1.449, 2.390)**
>50	2.020	(1.578, 2.585)**	2.019	(1.578, 2.584)**
Educational attainment
Less than high school (reference)
High school graduate	1.022	(0.800, 1.305)	1.012	(0.793, 1.292)
Attend some college	1.086	(0.835, 1.411)	1.078	(0.830, 1.401)
College graduate or higher	0.991	(0.753, 1.305)	0.981	(0.746, 1.291)
Number of days moderate physical activity	0.969	(0.940, 0.999)*	0.969	(0.940, 0.999)*
Number of days vigorous physical activity	0.854	(0.811, 0.899)**	0.853	(0.811, 0.898)**
Television viewing
≤2 h/day (reference)
>2 h/day	1.369	(1.175, 1.594)**	1.367	(1.173, 1.592)**

OR odds ratio, CI confidence interval

^aNumber within 2-km neighborhood

^bModel 1 includes both supermarket and convenience store counts along with individual-level covariates.

^cModel 2 includes both supermarket and fast food restaurant counts along with individual-level covariates.

*p < 0.05, **p < 0.01