PLoS ONE (Jan 2020)

Multidimensional gender discrimination in workplace and depressive symptoms.

  • Gaeul Kim,
  • Jinmok Kim,
  • Su-Kyoung Lee,
  • Juho Sim,
  • Yangwook Kim,
  • Byung-Yoon Yun,
  • Jin-Ha Yoon

DOI
https://doi.org/10.1371/journal.pone.0234415
Journal volume & issue
Vol. 15, no. 7
p. e0234415

Abstract

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BackgroundDiscrimination is associated with depressive symptoms and other negative health effects, but little is known about the mental health risks of workplace gender discrimination. We aimed to investigate the association of workplace gender discrimination and depressive symptoms among employed women in South Korea.MethodsThe 6th wave (2016) survey datasets of the Korean Longitudinal Survey of Women and Family (KLoWF) were analyzed for 2,339 respondents who are identified as wage workers. Depressive symptoms were evaluated by the short-form (10-item) Center for Epidemiological Studies-Depression scale. Association of workplace gender discrimination and depressive symptoms was assessed using multivariate logistic regression, adjusted for potential confounding variables including age, income satisfaction, education level, marital status, and currently diagnosed disease. We then measured the age effect using age stratification multivariate logistic regression model.ResultsWomen who experienced gender discrimination at workplace had higher odds of depressive symptoms regardless of the type of the discrimination including hiring, promotion, work assignments, paid wages, and firing. These associations were consistent in younger women below 40 years of age in regard to hiring, promotion, paid wages and firing, whereas inconsistent among older women above 40 years of age.LimitationsWe did not investigate the effect of workplace gender discrimination on depressive symptoms in a longitudinal manner.ConclusionsWorkplace gender discrimination was found to be significantly associated with depressive symptoms after adjustment for socio-demographic factors. Further, women under 40 years of age were especially vulnerable to workplace gender discrimination.