Table 2.

Health trajectories before and after the change from active to inactive religious attendance

Variable	Before	After	p (int)
Smoking*	0.11 (0.04, 0.17)	− 0.01 (− 0.07, 0.05)	0.01
Heavy alcohol use*	0.17 (0.07, 0.27)	0.05 (− 0.03, 0.13)	0.07
Physical inactivity*	0.07 (− 0.05, 0.20)	0.02 (− 0.09, 0.13)	0.58
Cannabis use*	0.09 (0.01, 0.17)	0.14 (0.10, 0.19)	0.25
Depressive symptoms†	0.01 (− 0.01, 0.03)	0.01 (− 0.02, 0.03)	0.82
Psychological wellbeing†	0.01 (− 0.03, 0.05)	− 0.01 (− 0.03, 0.00)	0.21
Self-rated health†	− 0.02 (− 0.04, 0.01)	− 0.02 (− 0.05, 0.00)	0.84
Body mass index†	0.12 (0.10, 0.15)	0.08 (0.05, 0.10)	0.01

Values are meta-analytic estimates for regression coefficients that indicate the slope of trajectories (difference in the outcome per 1 year) from piecewise linear or logistic regression models, adjusted for age, sex, race/ethnicity, education, and marital status (maximum n = 37,721 person-observations of 6592 individuals)

p(int) = statisticial significance of the difference between before vs after

*Models fitted with logistic regression

^†Models fitted with linear regression