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Cited by 452

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Mortality among the elderly in the Alameda County Study: behavioral and demographic risk factors.

Kaplan, G A, Seeman, T E, Cohen, R D, Knudsen, L P, Guralnik, J·1987·American Journal of Public Health

Abstract

We studied the association between behavioral and demographic risk factors and 17-year mortality in members of the Alameda County (California) Study who were 60-94 years of age at baseline. In this age group, increased risk of death is associated with being male, smoking, having little leisure-time physical activity, deviating from moderate weight relative to height, and not regularly eating breakfast. These increased risks were independent of age, race, socioeconomic position (SEP), other behavioral risk factors, and baseline physical health status. Further examination of the group aged 70 or more revealed the same patterns of heightened risk.

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Crossref · 10.2105/ajph.77.3.307

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Metadata

Authors
Kaplan, G. A., Seeman, T. E., Cohen, R. D., Knudsen, L. P., & Guralnik, J.
Venue
American Journal of Public Health
Published
1987-03
Volume
77
Issue
3
Pages
307-312
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2159596983
Cited by
452
References
2
FWCI
11.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mortality among the elderly in the Alameda County Study: behavioral and demographic risk factors. https://app.cochat.ai/papers/10.2105/ajph.77.3.307
The paper
Kaplan, G. A., Seeman, T. E., Cohen, R. D., Knudsen, L. P., & Guralnik, J. (1987). Mortality among the elderly in the Alameda County Study: behavioral and demographic risk factors. American Journal of Public Health. https://doi.org/10.2105/ajph.77.3.307

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.