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The Association between Perceived Discrimination and Mental Health of Wage Workers with Disabilities: Findings from the Panel Survey of Employment for the Disabled 2016–2018

Author

Listed:
  • Hyeon Ji Lee

    (Institute for Digital Life Convergence, Dankook University, Cheonan 31116, Korea)

  • Wonjeong Jeong

    (Department of Preventive Medicine, Gachon University College of Medicine, Incheon 21565, Korea
    Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon 21565, Korea)

  • Doukyoung Chon

    (Institute for Digital Life Convergence, Dankook University, Cheonan 31116, Korea
    Department of Preventive Medicine, Gachon University College of Medicine, Incheon 21565, Korea)

  • Jae-Hyun Kim

    (Institute for Digital Life Convergence, Dankook University, Cheonan 31116, Korea
    Department of Health Administration, Dankook University, Cheonan 31116, Korea)

  • Jong Youn Moon

    (Department of Preventive Medicine, Gachon University College of Medicine, Incheon 21565, Korea
    Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon 21565, Korea)

Abstract

Despite efforts to integrate society, persons with disabilities (PWD) still experience considerable discrimination. Therefore, this study examined the association between experiences of discrimination and stress/depressive symptoms in wage working PWD. This study used data from the Panel Survey of Employment for the Disabled 2016–2018 in South Korea. This study included 1566 wage working PWD aged 15–64. The dependent variable was stress and depressive symptoms, and the independent variable was the experience of discrimination due to disability in daily life (Never, Rarely, Often, and Regularly) and the experience of discrimination at the workplace (0, 1, 2, ≥3). This study used a generalized estimating equations model to consider the repeated measurement data. Wage working PWD who experienced more discrimination in their daily life due to disability and at workplaces showed a higher odds ratio (OR) of stress and depressive symptoms than those who did not experience discrimination. As a result of the analysis including both discrimination experiences, those who always experienced discrimination due to disability in daily life had the highest OR to stress and depression (OR = 2.64, 95% Confidence Interval (CI): 1.37–5.08; OR = 4.96, 95% CI: 2.58–9.56, respectively). According to the experience at workplaces, wage working PWD who faced discrimination by two factors (OR = 1.66, 95% CI: 1.22–2.25) had the highest OR of stress, and those who experienced three or more factors had the highest OR of depressive symptoms (OR = 1.33, 95% CI: 0.83–2.11). Discrimination due to disability in daily life was more associated with the mental distress of working PWD than discrimination at workplaces. For the mental health of working PWD, not only policies or systems to eliminate discrimination in the workplace, but also overall social integration efforts based on improving awareness, are needed so that they do not experience discrimination in their daily life.

Suggested Citation

  • Hyeon Ji Lee & Wonjeong Jeong & Doukyoung Chon & Jae-Hyun Kim & Jong Youn Moon, 2022. "The Association between Perceived Discrimination and Mental Health of Wage Workers with Disabilities: Findings from the Panel Survey of Employment for the Disabled 2016–2018," IJERPH, MDPI, vol. 19(14), pages 1-12, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8541-:d:861472
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    References listed on IDEAS

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    1. Bell, David & Heitmueller, Axel, 2009. "The Disability Discrimination Act in the UK: Helping or hindering employment among the disabled?," Journal of Health Economics, Elsevier, vol. 28(2), pages 465-480, March.
    2. Jong Youn Moon & Jae-Hyun Kim, 2021. "Association between self-esteem and efficacy and mental health in people with disabilities," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-11, October.
    3. Wei Pan, 2001. "Akaike's Information Criterion in Generalized Estimating Equations," Biometrics, The International Biometric Society, vol. 57(1), pages 120-125, March.
    4. V. Kerry Smith & Donald H. Taylor & Frank A. Sloan, 2001. "Longevity Expectations and Death: Can People Predict Their Own Demise?," American Economic Review, American Economic Association, vol. 91(4), pages 1126-1134, September.
    5. Gilbert, Paul A. & Zemore, Sarah E., 2016. "Discrimination and drinking: A systematic review of the evidence," Social Science & Medicine, Elsevier, vol. 161(C), pages 178-194.
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    1. Nicola Magnavita & Igor Meraglia, 2024. "Poor Work Ability Is Associated with Workplace Violence in Nurses: A Two-Wave Panel Data Analysis," IJERPH, MDPI, vol. 21(9), pages 1-13, August.

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