Table 3.

Hierarchical Regression Models Showing the Cross-Sectional Associations between Attending Religious Services and Functional Status and the Mediating Effects of Measures of Inflammation and Coagulation (n=1,423)

	Estimate	ADL Standard Error	p-value		Estimate	IADL Standard Error	p-value		Estimate	Mobility Standard Error	p-value
Model 1				Model 1				Model 1
Religious attendance	−0.115	0.013	<0.0001	Religious attendance	−0.260	0.020	<0.0001	Religious attendance	−0.178	0.017	<0.0001
(Model 1 is uncontrolled)
Model 2				Model 2				Model 2
Religious attendance	−0.108	0.013	<0.0001	Religious attendance	−0.243	0.019	<0.0001	Religious attendance	−0.170	0.016	<0.0001
(Model 2 controls for age, sex, and race)
Model 3				Model 3				Model 3
Religious attendance	−0.091	0.013	<0.0001	Religious attendance	−0.213	0.019	<0.0001	Religious attendance	−0.125	0.015	<0.0001
(Model 3 controls for the demographic, health, and social variables)
Model 4				Model 4				Model 4
Religious attendance				Religious attendance				Religious attendance
Total	−0.091	0.013	<0.0001	Total	−0.213	0.019	<0.0001	Total	−0.125	0.015	<0.0001
Indirect	−0.007	0.003	0.0136	Indirect	−0.011	0.004	0.0030	Indirect	−0.010	0.003	0.0012
Direct	−0.084	0.013	<0.0001	Direct	−0.202	0.019	<0.0001	Direct	−0.115	0.015	<0.0001
(Model 4 controls for the demographic, health, and social variables and the three biomarkers and quantifies the indirect effects of attendance on function through the biomarkers controlling for the demographic, health, and social variables)