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Inequalities in Psychiatric Morbidity in Hong Kong and Strategies for Mitigation

Author

Listed:
  • Siu-Ming Chan

    (CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong SAR, China
    Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong SAR, China)

  • Linda Chiu-Wa Lam

    (Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • Wing-Yan Law

    (Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • Se-Fong Hung

    (Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • Wai-Chi Chan

    (Department of Psychiatry, The University of Hong Kong, Hong Kong SAR, China)

  • Eric Yu-Hai Chen

    (Department of Psychiatry, The University of Hong Kong, Hong Kong SAR, China)

  • Gary Ka-Ki Chung

    (CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • Yat-Hang Chan

    (CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • Roger Yat-Nork Chung

    (CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong SAR, China
    CUHK Institute of Ageing, The Chinese University of Hong Kong, Hong Kong SAR, China
    School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • Hung Wong

    (CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong SAR, China
    Department of Social Work, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • Eng-Kiong Yeoh

    (CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong SAR, China
    School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China)

  • Jean Woo

    (CUHK Institute of Health Equity, The Chinese University of Hong Kong, Hong Kong SAR, China
    CUHK Institute of Ageing, The Chinese University of Hong Kong, Hong Kong SAR, China
    School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China)

Abstract

This study explores the social gradient of psychiatric morbidity. The Hong Kong Mental Morbidity Survey (HKMMS), consisting of 5719 Chinese adults aged 16 to 75 years, was used. The Chinese version of the Revised Clinical Interview Schedule (CIS-R) was employed for psychiatric assessment of common mental disorders (CMD). People with a less advantaged socioeconomic position (lower education, lower household income, unemployment, small living area and public rental housing) had a higher prevalence of depression and anxiety disorder. People with lower incomes had worse physical health (OR 2.01, 95% CI 1.05–3.82) and greater odds of having CMD in the presence of a family history of psychiatric illnesses (OR 1.67, 95% CI 1.18–2.36). Unemployment also had a greater impact for those in lower-income groups (OR 2.67; 95% CI 1.85–3.85), whereas no significant association was observed in high-income groups (OR 0.56; 95% CI 0.14–2.17). Mitigating strategies in terms of services and social support should target socially disadvantaged groups with a high risk of psychiatric morbidity. Such strategies include collaboration among government, civil society and business sectors in harnessing community resources.

Suggested Citation

  • Siu-Ming Chan & Linda Chiu-Wa Lam & Wing-Yan Law & Se-Fong Hung & Wai-Chi Chan & Eric Yu-Hai Chen & Gary Ka-Ki Chung & Yat-Hang Chan & Roger Yat-Nork Chung & Hung Wong & Eng-Kiong Yeoh & Jean Woo, 2022. "Inequalities in Psychiatric Morbidity in Hong Kong and Strategies for Mitigation," IJERPH, MDPI, vol. 19(12), pages 1-12, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7095-:d:835151
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    References listed on IDEAS

    as
    1. Siu Ming Chan & Hung Wong, 2020. "Impact of Income, Deprivation and Social Exclusion on Subjective Poverty: A Structural Equation Model of Multidimensional Poverty in Hong Kong," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 971-990, December.
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