Table 5.

Regression Models and Mediating Effects

I. CES-D → HBS Negative (a in Figure; R2 for model = .31; Adjusted R2 = .29)
	Coefficient	SE	t	p
Intercept	−.57	2.12	−.27	.78
Gender (Female)	−.41	.46	−.88	.38
Race (Black)	−.004	.55	−.007	.99
Age	.05	.02	3.16	.002
Education	.01	.10	.12	.91
CES-D	.27	.04	.728	< .001
II. CES-D → HBS Positive (a in Figure; R2 for model = .10; Adjusted R2 = .06)
Intercept	19.47	1.46	13.30	< .001
Gender (Female)	.24	.32	.76	.45
Race (Black)	.05	.38	.12	.90
Age	−.02	.01	−1.57	.12
Education	−.07	.07	−1.03	.31
CES-D	−.08	.03	−3.29	.001
III. CES-D and covariates without HBS → SF General Health (c in Figure; R2 for model = .15; Adjusted R2 = .12)
Intercept	68.40	13.95	4.90	< .001
Gender (Female)	−.44	3.03	−.15	.88
Race (Black)	2.33	3.64	.64	.52
Age	−.003	.10	−.03	.98
Education	.69	.66	1.04	.30
CES-D	−1.12	.24	−4.61	<.001
IV. CES-D and covariates with HBS Negative & Positive → SF General Health (b and c in Figure; R2 for model = .39; Adjusted R2 = .41)
Intercept	39.11	18.71	2.09	.04
Gender (Female)	−2.14	2.51	−.85	.40
Race (Black)	2.14	2.99	.71	.48
Age	.18	.09	2.07	.04
Education	.87	.54	1.60	.11
HBS Negative	−3.35	.53	−6.34	< .001
HBS Positive	1.39	.77	1.82	.07
CES-D	−.10	.24	−.44	.66
V. Indirect Effects: Effects of CES-D → via HBS Negative & Positive → on SF General Health (red arrow in Figure)
	Coefficient (Bootstrapped 95% CI)	SE	z	p
HBS Total	−.93 (−1.38 to −.58)	.18	−5.04	< .001
HBS Negative	−.90 (−1.43 to −.51)	.19	−4.75	< .001
HBS Positive	−.12 (−.31 to −.01)	.07	−1.54	.12