Social sequencing to determine patterns in health and work-family trajectories for U.S. women, 1968–2013. (December 2018)

• Record Type: Journal Article
• Authors: McKetta, Sarah; Prins, Seth J.; Platt, Jonathan; Bates, Lisa M.; Keyes, Katherine
• Is Part Of: SSM - population health. Volume 6(2018)
• Page Start: 301
• Page End: 308
• Publication Date: 2018-12
• Subjects: Social medicine -- Periodicals; Medical anthropology -- Periodicals; Public health -- Periodicals; Psychology -- Periodicals; Medicine -- Periodicals; 362.105
• DOI: 10.1016/j.ssmph.2018.10.003
• Languages: English
• ISSNs: 2352-8273

Abstract

Abstract: Background: 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. Methods: 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. Results: 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. Conclusions: 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. Highlights: We used social sequence analysis to identify lifecourse trajectories of U.S. women based on their labor, partnership, and parenting statuses. We did not find that timing of childbearing significantly predicted poor health in this population, likely because no empirically-derived lifecourse type consistently occupied the "triple role" of laborer, partner, and parent in this sample. Lifecourse type conferred an increased risk of mortality among women who did not have partners, regardless of parenting status.