Table 2.

Multivariate logistic regression to examine the association between prevalent obesity at baseline and key SES indicators

	Model 1			Model 2			Model 3
	OR	95% CI	p-value	OR	95% CI	p-value	OR	95% CI	p-value
Annual household income
<35,000	1			1			1
35,000 - <50,000	0.94	0.45, 1.95	0.877	1.16	0.55, 2.44	0.68	1.33	0.59, 2.97	0.482
≥ 50,000 - < 100,000	0.65	0.36, 1.15	0.141	0.88	0.48, 1.61	0.685	1.09	0.56, 2.11	0.797
≥ 100,000	0.40	0.22, 0.73	0.003	0.63	0.33, 1.20	0.167	1.14	0.54, 2.40	0.715
Education
High school or less	1			1			1
Some college	0.79	0.39, 1.59	0.514	0.83	0.40, 1.70	0.619	0.74	0.35, 1.54	0.418
College 4 years	0.37	0.18, 0.73	0.005	0.40	0.19, 0.82	0.013	0.43	0.20, 0.90	0.026
College 5 years or more	0.23	0.11, 0.48	0.000	0.28	0.13, 0.62	0.002	0.29	0.13, 0.65	0.003
Residential property value
Category 1 (27K - 204K)	1						1
Category 2 (206 - 268K)	0.78	0.45, 1.36	0.393				0.86	0.46, 1.59	0.639
Category 3 (269K - 378K)	0.53	0.30, 0.93	0.029				0.65	0.34, 1.22	0.186
Category 4 (379K - 914K)	0.15	0.07, 0.30	0.000				0.20	0.09, 0.44	0.000

Model 1: Adjusted for age + gender + race/ethnicity

Model 2: Model 1 + mutually adjusted for income and education

Model 3: Model 2 + Adjusted for residential property values