Table 4.

Regression analyses for relationships between discrimination and health (n = 733)

Outcome	Model 1			Model 2
	Cardiovascular risk score			Self-rated health
Variable	B	SE B	B	B	SE B	B
Age	.021*	.008	.14	.010	.007	.072
Sex	.055	.13	.019	−.079	.12	−.030
Bachelor’s degree	−.22	.24	−.037	.238	.22	.042
Work outside home	.04	.14	.012	.064	.125	.029
Study site	−.25*	.11	−.085	.076	.100	.029
Income >$40 k	.20	.19	.044	−.025	.17	−.006
Income $40 k–$75 k	.08	.18	.019	.24	.16	.059
Years lived in US	.000	.006	−.002	−.003	.006	−.024
CES-D	.014	.009	.069	−.022*	.008	−.12
Social support	.045**	.013	.148	.013	.012	.046
Traditional cultural beliefs (TCB)	.006	.010	.024	.006	.009	.026
Marital status	−.18	.22	−.033	−.17	.20	−.035
English proficiency	.021	.024	.033	−.006	.021	−.010
Fruit/vegetable intake	−.006	.005	−.048
Physical activity	−.091	.079	−.044
Smoking status	.14	.16	.036	−.19	.14	−.054
Asthma				−.36	.19	−.070
Arthritis				−.36*	.13	−.11
Cancer				−.041	.31	−.005
Liver disease				−.056	.21	−.010
Kidney disease				.28	.25	.041
Diabetes				.21	.13	.058
Hypertension				−.50**	.11	−.18
Medium Discrimination	.18	.13	.059	−.11	.11	−.040
High Discrimination	−.010	.19	−.002	−.42*	.17	−.10
R2		.06			.11
F-value	F (18, 688) = 2.317*			F (23, 680) = 3.79**

^*p<.05;

^**p<.01