Table 2.

Multiple linear regression models examining daily stressor appraisals, race, and interactions with high-sensitivity C-reactive protein.

Interaction Models	Variable	Unstandardized Coefficients		Standardized Coefficients	t	p	r2part
		B	Std. Error	Beta
Model 1	Constant	0.674	0.10		6.82	<.001
	Education	0.088	0.13	0.036	0.69	0.491	0.001
	Annual household income	−0.001	0.01	−0.004	−0.07	0.946	0.00001
	BMI	0.083	0.01	0.661	13.83	<.001	0.371
	Race	−0.119	0.12	−0.049	−0.99	0.325	0.002
	Appraisal of stressor demands	0.074	0.10	0.053	0.76	0.450	0.001
	Interaction of race-by-appraisal of stressor demands	−0.071	0.13	−0.039	−0.56	0.574	0.001
	Model fit	R = 0.642; R2 = 0.412; F(6, 303) = 35.42; p < .001
Model 2	Constant	0.681	0.10		6.95	<.001
	Education	0.088	0.13	0.036	0.69	0.493	0.001
	Annual household income	0.002	0.01	0.006	0.11	0.912	0.00002
	BMI	0.081	0.01	0.648	13.60	<.001	0.353
	Race	−0.116	0.12	−0.047	−0.97	0.335	0.002
	Appraisal of coping efficacy	−0.210	0.10	−0.151	−2.08	.038	0.008
	Interaction of race-by-appraisal of coping efficacy	0.286	0.13	0.163	2.25	.026	0.010
	Model fit	R = 0.649; R2 = 0.421; F(6, 303) = 36.76; p < .001

Outcome: High-sensitivity C-reactive protein (hs-CRP; natural log transformed).

Note: Education coded as 0 = less than college degree, 1 = college degree or higher; BMI = Body-Mass-Index; Race coded as 0 = White, 1 = Black.