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      Religion, a social determinant of mortality? A 10-year follow-up of the Health and Retirement Study

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      PLoS ONE
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          Abstract

          The social determinants of health framework has brought a recognition of the primary importance of social forces in determining population health. Research using this framework to understand the health and mortality impact of social, economic, and political conditions, however, has rarely included religious institutions and ties. We investigate a well-measured set of social and economic determinants along with several measures of religious participation as predictors of adult mortality. Respondents (N = 18,370) aged 50 and older to the Health and Retirement Study were interviewed in 2004 and followed for all-cause mortality to 2014. Exposure variables were religious attendance, importance, and affiliation. Other social determinants of health included gender, race/ethnicity, education, household income, and net worth measured at baseline. Confounders included physical and mental health. Health behaviors and social ties were included as potential explanatory variables. Cox proportional hazards regressions were adjusted for complex sample design. After adjustment for confounders, attendance at religious services had a dose-response relationship with mortality, such that respondents who attended frequently had a 40% lower hazard of mortality (HR = 0.60, 95% CI 0.53–0.68) compared with those who never attended. Those for whom religion was “very important” had a 4% higher hazard (HR = 1.04, 95% CI 1.01–1.07); religious affiliation was not associated with risk of mortality. Higher income and net worth were associated with a reduced hazard of mortality as were female gender, Latino ethnicity, and native birth. Religious participation is multi-faceted and shows both lower and higher hazards of mortality in an adult US sample in the context of a comprehensive set of other social and economic determinants of health.

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          Most cited references28

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          Social isolation: a predictor of mortality comparable to traditional clinical risk factors.

          We explored the relationship between social isolation and mortality in a nationally representative US sample and compared the predictive power of social isolation with that of traditional clinical risk factors.
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            Social conditions as fundamental causes of disease.

            Over the last several decades, epidemiological studies have been enormously successful in identifying risk factors for major diseases. However, most of this research has focused attention on risk factors that are relatively proximal causes of disease such as diet, cholesterol level, exercise and the like. We question the emphasis on such individually-based risk factors and argue that greater attention must be paid to basic social conditions if health reform is to have its maximum effect in the time ahead. There are two reasons for this claim. First we argue that individually-based risk factors must be contextualized, by examining what puts people at risk of risks, if we are to craft effective interventions and improve the nation's health. Second, we argue that social factors such as socioeconomic status and social support are likely "fundamental causes" of disease that, because they embody access to important resources, affect multiple disease outcomes through multiple mechanisms, and consequently maintain an association with disease even when intervening mechanisms change. Without careful attention to these possibilities, we run the risk of imposing individually-based intervention strategies that are ineffective and of missing opportunities to adopt broad-based societal interventions that could produce substantial health benefits for our citizens.
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              The precious and the precocious: understanding cumulative disadvantage and cumulative advantage over the life course.

              M O'Rand (1996)
              The explanation of increasing heterogeneity and inequality within aging cohorts is a central concern of the life-course perspective and common ground for demographers, economists, historians, sociologists, and psychologists alike. Income and wealth inequality among the aged is one area of shared interest where cross-disciplinary fertilization is occurring. While indices of aged economic inequality applied across different data sets replicate the level of inequality among the elderly, theoretical and methodological concerns are focused more and more on identifying and specifying the long-term interactions between institutional and life-course processes producing this outcome. Institutional mechanisms incorporated in opportunity structures such as labor markets and pensions stratify the availability of resources and rewards, and they interact with life-course processes related to labor force history and job mobility to produce complex patterns of cumulative advantage and cumulative disadvantage. However, the examination of long-term mechanisms of stratification requires finer-grained observations of work, employer, and pension histories than current data-collection strategies afford. Two biases--the steady worker bias and the one pension bias--are inherent in most longitudinal data bases and hamper progress in our understanding of the production of aged inequality.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                20 December 2017
                2017
                : 12
                : 12
                : e0189134
                Affiliations
                [1 ] Department of Sociology, Emory University, Atlanta, Georgia, United States of America
                [2 ] Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
                [3 ] Department of Epidemiology, Rollins School Public Health, Emory University, Atlanta, Georgia, United States of America
                Tulane University School of Public Health and Tropical Medicine, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                ‡ These authors also contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-3616-5275
                Article
                PONE-D-17-21473
                10.1371/journal.pone.0189134
                5738040
                29261682
                4d7f2576-83be-4997-bc96-7cf9b417037f
                © 2017 Idler et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 5 June 2017
                : 20 November 2017
                Page count
                Figures: 0, Tables: 4, Pages: 15
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Social Sciences
                Anthropology
                Cultural Anthropology
                Religion
                Social Sciences
                Sociology
                Religion
                Medicine and Health Sciences
                Public and Occupational Health
                Behavioral and Social Aspects of Health
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Biology and Life Sciences
                Physiology
                Sensory Physiology
                Somatosensory System
                Pain Sensation
                Medicine and Health Sciences
                Physiology
                Sensory Physiology
                Somatosensory System
                Pain Sensation
                Biology and Life Sciences
                Neuroscience
                Sensory Systems
                Somatosensory System
                Pain Sensation
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                People and Places
                Population Groupings
                Age Groups
                Adults
                Custom metadata
                All data files for the Health and Retirement Study used in the analysis were obtained online at the HRS website: http://hrsonline.isr.umich.edu.

                Uncategorized
                Uncategorized

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