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The effect of occupational, marital and parental roles on mortality: The Alameda County study

Author

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  • Kotler, P.
  • Wingard, D.L.

Abstract

This study investigated the impact of combining marital, parental, and occupational roles upon 18-year risk of mortality from all causes. The respondents were 3,700 participants in the Human Population Laboratory cohort ages 35-64 who completed a comprehensive health and psychosocial questionnaire in 1965 and were followed for mortality status through 1982. Employment status and type of employment were not found to predict mortality risk among women. Contrary to the multiple roles hypothesis, there was virtually no impact upon mortality of increasing numbers of children among employed women, except possibly among single working parents. The major impact of children was felt by housewives who had significantly elevated risks when a child was present in the home or when they had four or more children. Neither the number of children nor the presence of a child in the home affected mortality risk of men. Controlling for a variety of factors thought to be related to mortality in a logistic regression analysis did not change the foregoing relation.

Suggested Citation

  • Kotler, P. & Wingard, D.L., 1989. "The effect of occupational, marital and parental roles on mortality: The Alameda County study," American Journal of Public Health, American Public Health Association, vol. 79(5), pages 607-612.
    • Handle: RePEc:aph:ajpbhl:1989:79:5:607-612_7
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    Cited by:

    1. Michael Rendall & Margaret Weden & Melissa Favreault & Hilary Waldron, 2011. "The Protective Effect of Marriage for Survival: A Review and Update," Demography, Springer;Population Association of America (PAA), vol. 48(2), pages 481-506, May.
    2. Robin S. Högnäs & David J. Roelfs & Eran Shor & Christa Moore & Thomas Reece, 2017. "J-Curve? A Meta-Analysis and Meta-Regression of Parity and Parental Mortality," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(2), pages 273-308, April.
    3. Duncan, G.J. & Daly, M.C. & McDonough, P. & Williams, D.R., 2002. "Optimal indicators of socioeconomic status for health research," American Journal of Public Health, American Public Health Association, vol. 92(7), pages 1151-1157.
    4. Shor, Eran & Roelfs, David J., 2015. "Social contact frequency and all-cause mortality: A meta-analysis and meta-regression," Social Science & Medicine, Elsevier, vol. 128(C), pages 76-86.
    5. Ken Smith & Norman Waitzman, 1994. "Double jeopardy: Interaction effects of marital and poverty status on the risk of mortality," Demography, Springer;Population Association of America (PAA), vol. 31(3), pages 487-507, August.
    6. Megan Beckett & Marc N. Elliott, 2002. "Does the Association Between Marital Status and Health Vary by Sex, Race, and Ethnicity?," Working Papers 02-08, RAND Corporation.
    7. Irina Denisova, 2009. "Mortality in Russia: Microanalysis," Working Papers w0128, Center for Economic and Financial Research (CEFIR).
    8. Irina Denisova, 2009. "Mortality in Russia: Microanalysis," Working Papers w0128, New Economic School (NES).
    9. Ahmed Khwaja & Frank Sloan & Sukyung Chung, 2006. "The Effects of Spousal Health on the Decision to Smoke: Evidence on Consumption Externalities, Altruism and Learning Within the Household," Journal of Risk and Uncertainty, Springer, vol. 32(1), pages 17-35, January.
    10. Robert LaJeunesse, 2010. "Effects of female labour force attachment on health in Australia," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(4), pages 423-436.
    11. Irina Denisova, 2010. "Adult mortality in Russia," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 18(2), pages 333-363, April.

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