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SOCIAL TIES AND MORTALITY IN EVANS COUNTY, GEORGIA
Abstract
In an attempt to replicate Berkman and Syme's study of social networks and mortality in Alameda County, California, the authors investigated the relationship between a social network index and survivorship from 1967 to 1980 in the Evans County, Georgia, cohort. They constructed an index modeled after the Berkman Social Network Index and tested it in race- and sex-specific proportional hazards models for 2,059 subjects who were examined in 1967-1969 during the Evans County Cardiovascular Epidemiologic Study. The present study emphasized a priori specification of the social network index and statistical hypothesis test. Descriptive analyses were consistent with a modest social networks effect (e.g., hazard ratio (95 per cent confidence interval) of 1.6 (1.2-2.2) ). Among white males, the age-adjusted hazard ratio comparing the lowest to the highest value of our six-level index was 2.0 (1.2-3.4), but control for potential confounders (principally cardiovascular disease risk factors) reduced this value to 1.5 (0.8-2.6). The social networks effect among white females, black males, and black females was weaker and clearly nonsignificant. Exploratory analyses suggested that marital status, church activities, and an alternate social network index predicted survivorship, but not in a dose-response fashion. Reduced survivorship among older subjects with few social ties was the most important feature of the data.
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“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 [539]
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Metadata
- Authors
- SCHOENBACH, V. J., KAPLAN, B. H., FREDMAN, L., & KLEINBAUM, D. G.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1986-04
- Volume
- 123
- Issue
- 4
- Pages
- 577-591
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2270423120
- Cited by
- 503
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 45 · 2022: 8 · 2021: 6 · 2020: 3 · 2019: 7 · 2018: 6 · 2017: 6 · 2016: 4 · 2015: 8 · 2014: 9 · 2013: 14 · 2012: 7
- FWCI
- 22.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (1 RO1-AG03518)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Social Sciences › Sociology and Political Science › Social Capital and Networks
- Keywords
- social networks, social ties, mortality, social network index, cardiovascular disease, racial differences, sex differences, marital status, church attendance, dose-response relationship, older adults, survivorship
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Black or African American, Blood Pressure, Educational Status, Epidemiologic Methods, Female, Georgia, Health Surveys, Humans, Interpersonal Relations, Male, Marriage, Middle Aged, Mortality, Risk, Rural Population, Sex Factors, Smoking, Social Class, Social Isolation, Black People, White People
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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