Religious involvement and U.S. adult mortality
Abstract
We use recently released, nationally representative data from the National Health Interview Survey—Multiple Cause of Death linked file to model the association of religious attendance and sociodemographic, health, and behavioral correlates with overall and cause-specific mortality. Religious attendance is associated with U.S. adult mortality in a graded fashion: People who never attend exhibit 1.87 times the risk of death in the follow-up period compared with people who attend more than once a week. This translates into a seven-year difference in life expectancy at age 20 between those who never attend and those who attend more than once a week. Health selectivity is responsible for a portion of the religious attendance effect: People who do not attend church or religious services are also more likely to be unhealthy and, conse-quently, to die. However, religious attendance also works through increased social ties and behavioral factors to decrease the risks of death. And although the magnitude of the association between religious attendance and mortality varies by cause of death, the direction of the association is consistent across causes.
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Of the 18 best studies, three (20%) reported positive relationships (worse pain in the more R/S).
“Of the 18 best studies, nine (50%) reported inverse relationships (less pain among the more R/S [534] or reduced pain in response to a R/S intervention [535–542]), while three (20%) reported positive relationships (worse pain in the more R/S) [543–545].”
From Religion, Spirituality, and Health: The Research and Clinical Implications (2012) · cites this paper as [544]
Evidence from rigorously designed population studies and a seminal meta-analysis suggested an independent association between organizational religiosity (religious service attendance) and CVD mortality.
“The evidence from rigorously designed population studies and from a seminal meta-analysis suggested the existence of an independent association between organizational religiosity (i.e., religious service attendance) and CVD mortality (Chida et al., 2009; Hummer et al., 1999; Oman et al., 2002).”
From Advancing our understanding of religion and spirituality in the context of behavioral medicine (2017) · cites this paper as Hummer et al., 1999
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Socioeconomic Differences in the Effects of Prayer on Physical Symptoms and Quality of Life
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- Authors
- Hummer, R. A., Rogers, R. G., Nam, C. B., & Ellison, C. G.
- Affiliations
- The University of Texas at Austin (US)
- University of Colorado Boulder (US)
- Florida State University (US)
- Venue
- Demography
- Publisher
- Duke University Press
- Published
- 1999-05-01
- Volume
- 36
- Issue
- 2
- Pages
- 273-285
- ISSN
- 0070-3370 (ISSN-L)
- 1533-7790
- OpenAlex
- W1986166543
- Cited by
- 825
- References
- 57
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 13 · 2023: 67 · 2022: 27 · 2021: 23 · 2020: 32 · 2019: 28 · 2018: 40 · 2017: 27 · 2016: 44 · 2015: 23 · 2014: 25 · 2013: 34 · 2012: 32
- FWCI
- 30.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Demography (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Health › Religion, Spirituality, and Psychology
- Social Sciences › Sociology and Political Science › Religion and Society Interactions
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- religious service attendance, mortality, life expectancy, social ties, religious involvement, cause-specific mortality, church attendance, health behavior, sociodemographic correlates
- MeSH terms
- Adult, Aged, Aged, 80 and over, Cause of Death, Female, Health Status, Humans, Life Expectancy, Male, Middle Aged, Mortality, Religion, Socioeconomic Factors, United States, Models, Statistical, Health Behavior, Multivariate Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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