Social sequencing to determine patterns in health and work-family trajectories for U.S. women, 1968-2013

Sarah McKetta; Seth J Prins; Jonathan Platt; Lisa M Bates; Katherine Keyes

doi:10.1016/j.ssmph.2018.10.003

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Social sequencing to determine patterns in health and work-family trajectories for U.S. women, 1968-2013

Journal article

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Social sequencing to determine patterns in health and work-family trajectories for U.S. women, 1968-2013

Sarah McKetta, Seth J Prins, Jonathan Platt, Lisa M Bates and Katherine Keyes

SSM - population health, Vol.6, pp.301-308

12/2018

DOI: 10.1016/j.ssmph.2018.10.003

PMCID: PMC6261835

PMID: 30533486

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Abstract

Women's social roles (partnership, parenthood, and worker status) are associated with health, with more roles being associated with lower mortality rates. Few studies have examined social roles using a lifecourse perspective to understand how changing role dynamics affect health over time. Sequence analysis is one analytic technique for examining social trajectories. Work-family trajectories were determined using social sequence analysis. We estimated mortality using age-standardized mortality rates and Poisson regression and examined the impact of personal income as a mediator. We identified 5 trajectory types according to probability distributions of work/marriage/child-rearing status and descriptions in previous research Non-working, married, later-mothers; working divorced mothers; working and non-working, never-married mothers; working, never-married non-mothers; and non-working, married earlier-mothers. Our reference group non-working, married, later-mothers had the lowest mortality rates (1.47 per 1000 person-years). Adjusting for confounders, timing of childbearing did not impact mortality rates for married, non-working women. Working, never-married non-mothers and working and non-working, never-married mothers had the highest adjusted rates of mortality (RR = 1.81 and 1.57, respectively) these effects were attenuated slightly by the addition of household income in the model. Mortality rates for other trajectory groups were not significantly elevated in adjusted models. Mortality rates vary by work-family trajectories, but timing of childbearing does not meaningfully impact risk among women in this population, likely because few of the women who were married and had children also worked full-time. Household income has some mediating effect among those at highest risk of early mortality.

Details

Title: Subtitle: Social sequencing to determine patterns in health and work-family trajectories for U.S. women, 1968-2013
Creators: Sarah McKetta - Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
Seth J Prins - Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
Jonathan Platt - Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
Lisa M Bates - Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
Katherine Keyes - Center for Research on Society and Health, Universidad Mayor, Santiago, Chile
Resource Type: Journal article
Publication Details: SSM - population health, Vol.6, pp.301-308
DOI: 10.1016/j.ssmph.2018.10.003
PMID: 30533486
PMCID: PMC6261835
NLM abbreviation: SSM Popul Health
ISSN: 2352-8273
eISSN: 2352-8273
Grant note: K01 AA021511 / NIAAA NIH HHS R01 HD069609 / NICHD NIH HHS
Language: English
Date published: 12/2018
Academic Unit: Epidemiology; Injury Prevention Research Center
Record Identifier: 9984214710302771

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