Pathways from Religion to Health: Mediation by Psychosocial and Lifestyle Mechanisms

Abstract

Religiosity, often measured as attendance at religious services, is linked to better physical health and longevity though the mechanisms linking the two are debated. Potential explanations include: a healthier lifestyle, increased social support from congregational members, and/or more positive emotions. Thus far, these mechanisms have not been tested simultaneously in a single model though they likely operate synergistically. We test this model predicting all-cause mortality in Seventh-day Adventists, a denomination that explicitly promotes a healthy lifestyle. This allows the more explicit health behaviors linked to the religious doctrine (e.g., healthy diet) to be compared with other mechanisms not specific to religious doctrine (e.g., social support and positive emotions). Finally, this study examines both Church Activity (including worship attendance and church responsibilities) and Religious Engagement (coping, importance, and intrinsic beliefs). Religious Engagement is more is more inner-process focused (vs. activity-based) and less likely to be confounded with age and its associated functional status limitations, although it should be noted that age is controlled in the present study. The findings suggest that Religious Engagement and Church Activity operate through the mediators of health behavior, emotion, and social support to decrease mortality risk. All links between Religious Engagement and mortality are positive but indirect through positive Religious Support, Emotionality, and lifestyle mediators. However, Church Activity has a direct positive effect on mortality as well as indirect effects through, Religious Support, Emotionality, and lifestyle mediators (diet and exercise). The models were invariant by gender and for both Blacks and Whites.

Keywords: emotionality; lifestyle; mortality; physical health; religious engagement; social support; worship.

Figure 1

Final path model with all latent variable paths with p≥.001 trimmed from the model. Numbers adjacent to a latent variable (ellipse) or manifest variables (rectangles) are the portion of the variance of that variable explained by the other variables connecting to it.