Table 2.

Hierarchical regression analysis with the PSS score as a dependent variable.

Step 1: Direct Effects	b	SE	Lower CI	Upper CI	t	p	β
Intercept	15.555	1.504	12.604	18.506	10.339	<0.001	-
Sex	1.429	0.558	0.334	2.524	2.561	0.011	0.061
Age	−0.072	0.020	−0.110	−0.033	−3.635	<0.001	−0.086
Education level	−0.029	0.043	−0.114	0.056	−0.671	0.502	−0.016
BC Humor	−0.416	0.120	−0.651	−0.180	−3.456	<0.001	−0.084
Approach	−0.244	0.028	−0.299	−0.190	−8.831	<0.001	−0.225
Avoidance	0.684	0.037	0.611	0.756	18.513	<0.001	0.462
Step 2: Moderation Effects	b	SE	Lower CI	Upper CI	t	p	β
BC Humor × Approach	−0.004	0.020	−0.043	0.035	−0.203	0.839	−0.005
BC Humor × Avoidance	−0.073	0.026	−0.124	−0.023	−2.833	0.005	−0.067

Note. BC = brief COPE. b indicates the unstandardized coefficients, β indicates the standardized coefficients, SE indicates the standardized errors, Lower CI and Upper CI indicate, respectively, the lower and upper 95% confidence intervals of the unstandardized coefficients. The sex is coded as 0 = male, 1 = female. Age and level of education are expressed in years.