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

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.

SUBMITTER: Sabbath EL

PROVIDER: S-EPMC4358181 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature

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

Sabbath Erika L EL Guevara Ivan Mejía IM Glymour M Maria MM Berkman Lisa F LF

American journal of public health 20150225 4

<h4>Objectives</h4>We examined relationships between US women's exposure to midlife work-family demands and subsequent mortality risk.<h4>Methods</h4>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 wi ...[more]

PMID: 25713976

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Project description:PURPOSE:The Danish Work Life Course Cohort (DaWCo) was initiated to study relations between working conditions, health and labour market affiliation using repeated measures of these factors throughout the working life, while accounting for health-differences pre-existing labour market entry. PARTICIPANTS:The cohort encompasses all 15-30-year-old individuals residing in Denmark who entered the labour market during the years 1995-2009 (960?562 individuals and 7?136?188 observations). Data include information on working conditions measured by job exposure matrices linked with registers on health, labour market affiliation and sociodemographics for both the cohort members and their parents. The median age at cohort entry was 20 years and men and women were equally represented. FINDINGS TO DATE:Currently, one study has been published, which found that low job control was associated with increased risk of depressive disorder, independently from indicators of socioeconomic position measured throughout the life-course. The present cohort profile presents data regarding the transitions of cohort members between states of labour market affiliation and data on health services use. All cohort members were employed in their year of entry, but this proportion decreased across the years to 82.4% in the 10th year since cohort entry. The proportion of students peaked at 5?years since cohort entry with 13.9%. FUTURE PLANS:This large prospective cohort offers the possibility to study associations between psychosocial working conditions and rare outcomes and to examine the potential accumulation of effects while accounting for health-differences pre-existing labour market entry. Currently, we are working on analyses on risk of hospital-diagnosed incident depression and disability pensioning. The study is ongoing, and we are planning to extend the study to include the years 2010-2018 and expand the cohort with individuals entering the Danish workforce during these years.

Dataset Information

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

Publications

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

Similar Datasets

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