Various Types of Perceived Job Discrimination and Sleep Health among Working Women: Findings from the Sister Study

Soomi Lee, Anne Marie Chang, Orfeu M. Buxton, Chandra L. Jackson

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Job discrimination, a social stressor, may lead to sleep health disparities among workers; yet, limited research has examined this relationship and specific sources of job discrimination. We used a US sample of working women (n = 26,085), participants in the Sister Study (2008-2016), to examine the associations of perceived job discrimination due to sex, race, age, health conditions, and/or sexual orientation with sleep health. Cross-sectionally, linear or logistic regression models revealed that each source of job discrimination was independently associated with different sleep problems after controlling for other sources of job discrimination. Longitudinally, among participants without short sleep (<7 hours/night) at time 1 (2012-2014), age-specific job discrimination was associated with 21% increased odds of new-onset short sleep (odds ratio = 1.21, 95% confidence interval: 1.03, 1.43) at time 2 (2014-2016). Among those without insomnia symptoms at time 1, race-specific job discrimination was associated with 37% increased odds of new-onset insomnia symptoms (odds ratio = 1.37, 95% confidence interval: 1.07, 1.75) at time 2. Sex-and health-specific job discrimination also predicted new-onset sleepiness. There were dose-response relationships such that a greater number of sources of job discrimination (≥3) was associated with greater odds of prevalent and incident sleep problems. Perceived job discrimination may contribute to working women's poor sleep health over time, raising concerns about sleep health disparities emanating from the workplace.

Original languageEnglish (US)
Pages (from-to)1143-1153
Number of pages11
JournalAmerican journal of epidemiology
Issue number10
StatePublished - Oct 1 2020

All Science Journal Classification (ASJC) codes

  • Epidemiology


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