The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
US mortality by economic, demographic, and social characteristics: the National Longitudinal Mortality Study.
Abstract
OBJECTIVES. A large US sample was used to estimate the effects of race, employment status, income, education, occupation, marital status, and household size on mortality. METHODS. Approximately 530,000 persons 25 years of age or more were identified from selected Current Population Surveys between 1979 and 1985. These individuals were followed for mortality through use of the National Death Index for the years 1979 through 1989. RESULTS. Higher mortality was found in Blacks than in Whites less than 65 years of age; in persons not in the labor force, with lower incomes, with less education, and in service and other lower level occupations; and in persons not married and living alone. With occasional exceptions, in specific sex and age groups, these relationships were reduced but remained strong and statistically significant when each variable was adjusted for all of the other characteristics. The relationships were generally weaker in individuals 65 years of age or more. CONCLUSIONS. Employment status, income, education, occupation, race, and marital status have substantial net associations with mortality. This study identified segments of the population in need of public health attention and demonstrated the importance of including these variables in morbidity and mortality studies.
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Cites
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The Relationship Between Education and Health: Reducing Disparities Through a Contextual Approach
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Voluntary work for the physical and mental health of older volunteers: A systematic review
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Criteria for assessing the quality of health information on the Internet
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Metadata
- Authors
- Sorlie, P. D., Backlund, E., & Keller, J. B.
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 1995-07
- Volume
- 85
- Issue
- 7
- Pages
- 949-956
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- OpenAlex
- W2052323081
- Cited by
- 833
- References
- 1
- FWCI
- 35.96
- 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).
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