The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Community-Level Socioeconomic Status Effects on Adult Health
Abstract
Do the socioeconomic characteristics of a community affect one's health? This research examines whether the socioeconomic characteristics of communities are associated with the health of community residents, over and above the socio-economic characteristics of individual residents and their families. This is the first study to examine the independent associations between community-level socio-economic status (SES) and individual-level health using a nationally representative sample of adults in the United States. Results indicate that a person's health is associated with SES characteristics of the community over and above one's own income, education, and assets. However, individual-level and family-level SES indicators are stronger predictors of health than community-level SES indicators. This research suggests that improving individual-level and family-level socioeconomic circumstances may be the more direct way to improve the health of individuals, but that understanding the community context in which a person lives may also ultimately be important to improving health.
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Cites
US Socioeconomic and Racial Differences in Health: Patterns and Explanations
Williams, D. R., & Collins, C. (1995) · Annual Review of Sociology · doi:10.1146/annurev.so.21.080195.002025 · Cited by 1,718
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Stress, Health, and the Life Course: Some Conceptual Perspectives
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Metadata
- Authors
- Robert, S. A.
- Venue
- Journal of Health and Social Behavior
- Publisher
- SAGE Publications
- Published
- 1998-03
- Volume
- 39
- Issue
- 1
- Pages
- 18
- ISSN
- 0022-1465 (ISSN-L)
- OpenAlex
- W2060144627
- Cited by
- 458
- References
- 1
- FWCI
- 21.96
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.