Table 4

Logistic regressions of poor physical health on ecological variables, stratified by race/ethnicity

	Black and Hispanic		White, Asian
	Odds ratio	95% CI	Odds ratio	95% CI
p<0.05 *p<0.01. Regressions adjusted for individual sex, race/ethnicity (minority regression only), urbanicity, region, income, education, poverty status, employment status, insurance status, and living alone or with spouse/partner.
Hypothesised ecological causal variables
State social capital index	0.40*	0.18, 0.90	1.44	0.61, 3.44
State generosity	0.93	0.76, 1.13	0.83	0.67, 1.02
Local income inequality
County log per cent rich	0.73	0.32, 1.69	2.60*	1.22, 5.56
Ecological confounders
County log unskilled wage	2.15	0.95, 4.88	0.71	0.36, 1.41
County/state housing affordability index	1.43	0.31, 6.54	0.85	0.16, 4.62
County crime rate	1.02	0.94, 1.10	1.05	0.94, 1.17
County unemployment rate	1.01	0.96, 1.06	0.99	0.89, 1.10
County log per cent black	0.95	0.78, 1.16	1.04	0.90, 1.19
County log per cent Hispanic	0.97	0.80, 1.18	0.80	0.67, 0.96
County log mean income	1.93	0.34, 11.07	0.66	0.20, 2.21
County log mean years of education	0.94	0.67, 1.32	0.49**	0.32, 0.77
County psych services index	1.13	0.72, 1.78	0.76	0.41, 1.42
County health services index	0.66	0.18, 2.39	5.30	0.71, 39.30
Number of participants	2250		2567
Number of counties	414		707
Pseudo R²	0.08		0.12