Mortality Among the Elderly in the Alameda County Study: Behavioral and Demographic Risk Factors

Overview

Journal Am J Public Health

Specialty Public Health

Date 1987 Mar 1

PMID 3812836

Citations 91

Authors

G A Kaplan

T E Seeman

R D Cohen

L P Knudsen

J Guralnik

Affiliations

Soon will be listed here.

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.

Citing Articles

Informal and formal long-term care utilization and unmet needs in Europe: examining socioeconomic disparities and the role of social policies for older adults.

Szenkurok V, Weber D, Bilger M Int J Health Econ Manag. 2024; .

PMID: 38772952 DOI: 10.1007/s10754-024-09378-z.

Inequalities in Mortality in the Asia-Pacific: A Cross-National Comparison of Socioeconomic Gradients.

Xu K, Aw J, Payne C J Gerontol B Psychol Sci Soc Sci. 2024; 79(4).

PMID: 38195098 PMC: 10948962. DOI: 10.1093/geronb/gbad193.

Dietary behaviours and related lifestyles according to the presence or absence of skipping breakfast in Japanese adults: the JPHC-NEXT study.

Okada C, Iso H, Yamagishi K, Ikeda A, Umesawa M, Muraki I Public Health Nutr. 2023; 26(6):1230-1237.

PMID: 36775271 PMC: 10346075. DOI: 10.1017/S1368980023000010.

Association between quality and duration of sleep and subjective cognitive decline: a cross-sectional study in South Korea.

Joo H, Joo J, Kwon J, Jang B, Park E Sci Rep. 2021; 11(1):16989.

PMID: 34417485 PMC: 8379242. DOI: 10.1038/s41598-021-96453-x.

The Role of Family Health History in Predicting Midlife Chronic Disease Outcomes.

Duke N, Jensen T, Perreira K, Hotz V, Harris K Am J Prev Med. 2021; 61(4):509-517.

PMID: 34229928 PMC: 8818302. DOI: 10.1016/j.amepre.2021.02.021.

References

Wing S, Manton K, Stallard E, HAMES C, Tryoler H . The black/white mortality crossover: investigation in a community-based study. J Gerontol. 1985; 40(1):78-84. DOI: 10.1093/geronj/40.1.78. View

BELLOC N . Relationship of health practices and mortality. Prev Med. 1973; 2(1):67-81. DOI: 10.1016/0091-7435(73)90009-1. View

Palmore E . Health practices and illness among the aged. Gerontologist. 1970; 10(4):313-6. DOI: 10.1093/geront/10.4_part_1.313. View

Manton K, Stallard E . Methods for evaluating the heterogeneity of aging processes in human populations using vital statistics data: explaining the black/white mortality crossover by a model of mortality selection. Hum Biol. 1981; 53(1):47-67. View

Bush T, Comstock G . Smoking and cardiovascular mortality in women. Am J Epidemiol. 1983; 118(4):480-8. DOI: 10.1093/oxfordjournals.aje.a113653. View

Manton K, Poss S . The black/white mortality crossover: possible racial differences in the intrinsic rate of aging. Black Aging. 1978; 3:43-53. View

Jajich C, OSTFELD A, Freeman Jr D . Smoking and coronary heart disease mortality in the elderly. JAMA. 1984; 252(20):2831-4. View

Wingard D, Berkman L, Brand R . A multivariate analysis of health-related practices: a nine-year mortality follow-up of the Alameda County Study. Am J Epidemiol. 1982; 116(5):765-75. DOI: 10.1093/oxfordjournals.aje.a113466. View

Arellano M, Petersen G, Petitti D, Smith R . The California Automated Mortality Linkage System (CAMLIS). Am J Public Health. 1984; 74(12):1324-30. PMC: 1652697. DOI: 10.2105/ajph.74.12.1324. View

10.

Rice D, Feldman J . Living longer in the United States: demographic changes and health needs of the elderly. Milbank Mem Fund Q Health Soc. 1983; 61(3):362-96. View

11.

Branch L, Jette A . Personal health practices and mortality among the elderly. Am J Public Health. 1984; 74(10):1126-9. PMC: 1651889. DOI: 10.2105/ajph.74.10.1126. View

12.

Barrett-Connor E, Suarez L, Khaw K, Criqui M, Wingard D . Ischemic heart disease risk factors after age 50. J Chronic Dis. 1984; 37(12):903-8. DOI: 10.1016/0021-9681(84)90066-3. View

13.

Pearl R . TOBACCO SMOKING AND LONGEVITY. Science. 1938; 87(2253):216-7. DOI: 10.1126/science.87.2253.216. View

14.

BELLOC N, Arellano M . Computer record linkage on a survey population. Health Serv Rep. 1973; 88(4):344-50. PMC: 1616048. View

15.

Wiley J, Camacho T . Life-style and future health: evidence from the Alameda County study. Prev Med. 1980; 9(1):1-21. DOI: 10.1016/0091-7435(80)90056-0. View

16.

ANTONOVSKY A . Social class, life expectancy and overall mortality. Milbank Mem Fund Q. 1967; 45(2):31-73. View

17.

Khaw K, Barrett-Connor E, Suarez L, Criqui M . Predictors of stroke-associated mortality in the elderly. Stroke. 1984; 15(2):244-8. DOI: 10.1161/01.str.15.2.244. View

18.

Manton K . Sex and race specific mortality differentials in multiple cause of death data. Gerontologist. 1980; 20(4):480-93. DOI: 10.1093/geront/20.4.480. View

19.

Kaplan G, Kotler P . Self-reports predictive of mortality from ischemic heart disease: a nine-year follow-up of the Human Population Laboratory cohort. J Chronic Dis. 1985; 38(2):195-201. DOI: 10.1016/0021-9681(85)90092-x. View

20.

HAMMOND E, GARFINKEL L . Coronary heart disease, roke, and aortic aneurysm. Factors in the etiology. Arch Environ Health. 1969; 19(2):167-82. View