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Socioeconomic Status, Mental Health, and Workplace Determinants among Working Adults in Hong Kong: A Latent Class Analysis

Author

Listed:
  • Alan C. Y. Tong

    (Department of Psychology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
    Joint first authors.)

  • Emily W. S. Tsoi

    (Department of Psychology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
    Joint first authors.)

  • Winnie W. S. Mak

    (Department of Psychology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong)

Abstract

This study provides insights on mental health correlates and work stress patterns in a representative sample of working adults in Hong Kong using an intersectional perspective. Using data from a cross-sectional, population-based telephone survey of 1007 working adults in Hong Kong, latent class analysis was conducted to identify socioeconomic classes within the sample. Three latent classes were identified, and they differed significantly in all the SES variables. Results suggested mental health to be the lowest in Class 1, the lowest income group. The three classes did not differ from their perceived level of job demand and control in work-related stress. Predictably, the highest income group perceived the lowest level of effort-reward imbalance. The lowest paid class was also reported perceiving the lowest level of relational justice. Different barriers to mental health services were also identified. Finally, cultural implications associated with work stress patterns, research, and practice implications are discussed. This study provides an empirical foundation for future studies to investigate patterns of job stress and mental health needs in a diverse population of working adults, with a particular focus on addressing the intersectional profiles of working adults and their needs in mental health services.

Suggested Citation

  • Alan C. Y. Tong & Emily W. S. Tsoi & Winnie W. S. Mak, 2021. "Socioeconomic Status, Mental Health, and Workplace Determinants among Working Adults in Hong Kong: A Latent Class Analysis," IJERPH, MDPI, vol. 18(15), pages 1-18, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:7894-:d:601465
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    References listed on IDEAS

    as
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