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Use of life course work - Family profiles to predict mortality risk among US women

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  • Sabbath, E.L.
  • Guevara, I.M.
  • Glymour, M.M.
  • Berkman, L.F.

Abstract

Objectives. We examined relationships between US women's exposure to midlife work-family demands and subsequent mortality risk. Methods. We used data from women born 1935 to 1956 in the Health and Retirement Study to calculate employment, marital, and parenthood statuses for each age between 16 and 50 years. We used sequence analysis to identify 7 prototypical work-family trajectories. We calculated age-standardized mortality rates and hazard ratios (HRs) for mortality associated with work-family sequences, with adjustment for covariates and potentially explanatory later-life factors. Results. Married women staying home with children briefly before reentering the workforce had the lowest mortality rates. In comparison, after adjustment for age, race/ethnicity, and education, HRs for mortality were 2.14 (95% confidence interval [CI] = 1.58, 2.90) among single nonworking mothers, 1.48 (95% CI = 1.06, 1.98) among single working mothers, and 1.36 (95% CI = 1.02, 1.80) among married nonworking mothers. Adjustment for later-life behavioral and economic factors partially attenuated risks. Conclusions. Sequence analysis is a promising exposure assessment tool for life course research. This method permitted identification of certain lifetime work-family profiles associated with mortality risk before age 75 years. © 2015, American Public Health Association Inc. All rights reserved.

Suggested Citation

  • Sabbath, E.L. & Guevara, I.M. & Glymour, M.M. & Berkman, L.F., 2015. "Use of life course work - Family profiles to predict mortality risk among US women," American Journal of Public Health, American Public Health Association, vol. 105(4), pages 96-102.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2014.302471_6
    DOI: 10.2105/AJPH.2014.302471
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    Cited by:

    1. Bruno Arpino & Jordi Gumà & Albert JuliÃ, 2021. "Deviations From Standard Family Histories and Subjective Wellbeing at Older Ages," Econometrics Working Papers Archive 2021_16, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    2. Tabea Bucher-Koenen & Helmut Farbmacher & Raphael Guber & Johan Vikström, 2020. "Double Trouble: The Burden of Child-rearing and Working on Maternal Mortality," Demography, Springer;Population Association of America (PAA), vol. 57(2), pages 559-576, April.
    3. Wiebke Schmitz & L. Naegele & F. Frerichs & L. Ellwardt, 2023. "Gendered late working life trajectories, family history and welfare regimes: evidence from SHARELIFE," European Journal of Ageing, Springer, vol. 20(1), pages 1-15, December.
    4. Sabbath, Erika L. & Mejía-Guevara, Iván & Noelke, Clemens & Berkman, Lisa F., 2015. "The long-term mortality impact of combined job strain and family circumstances: A life course analysis of working American mothers," Social Science & Medicine, Elsevier, vol. 146(C), pages 111-119.
    5. Ariane Bertogg & Anja K. Leist, 2023. "Gendered life courses and cognitive functioning in later life: the role of context-specific gender norms and lifetime employment," European Journal of Ageing, Springer, vol. 20(1), pages 1-15, December.
    6. Rebecca E Lacey & Meena Kumari & Amanda Sacker & Mai Stafford & Diana Kuh & Anne McMunn, 2016. "Work-Family Life Courses and Metabolic Markers in the MRC National Survey of Health and Development," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-13, August.
    7. Martin O’Flaherty & Janeen Baxter & Michele Haynes & Gavin Turrell, 2016. "The Family Life Course and Health: Partnership, Fertility Histories, and Later-Life Physical Health Trajectories in Australia," Demography, Springer;Population Association of America (PAA), vol. 53(3), pages 777-804, June.

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