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Employment Industry and Occupational Class in Relation to Serious Psychological Distress in the United States

Author

Listed:
  • Lauren R. Gullett

    (Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC 27709, USA)

  • Dana M. Alhasan

    (Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC 27709, USA)

  • W. Braxton Jackson

    (Social & Scientific Systems, Inc., A DLH Holdings Company, Durham, NC 27703, USA)

  • Chandra L. Jackson

    (Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC 27709, USA
    Intramural Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA)

Abstract

Occupational characteristics may influence serious psychological distress (SPD) and contribute to health inequities; yet, few studies have examined multiple employment industries and occupational classes in a large, racially diverse sample of the United States. Using data from the National Health Interview Survey, we investigated employment industry and occupational class in relation to SPD in the overall population and by race/ethnicity, gender, age, household income, and health status. We created eight employment industry categories: professional/administrative/management, agricultural/manufacturing/construction, retail trade, finance/information/real estate, educational services, health care/social assistance, accommodation/food services, and public administration/arts/other services. We also created three occupational class categories: professional/management, support services, and laborers. SPD was measured using the Kessler Psychological Distress Scale and scores ≥13 indicated SPD. We adjusted for confounders and used Poisson regression to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs). Among the 245,038 participants, the mean age was 41.7 ± 0.1 years, 73% were Non-Hispanic (NH)-White, and 1.5% were categorized as having SPD. Compared to the professional/administrative/management industry, working in other industries (e.g., manufacturing/construction (PR = 0.82 [95% CI: 0.70–0.95]) and educational services (PR = 0.79 [95% CI: 0.66–0.94])) was associated with lower SPD. Working in support services and laborer versus professional/management positions were both associated with 19% higher prevalence of SPD (95% CI: 1.04–1.35; 95% CI: 1.04–1.38, respectively). Furthermore, working in a support services or laborer versus professional/management position was associated with higher SPD in most employment industries. Industry-specific workplace interventions to equitably improve mental health are warranted.

Suggested Citation

  • Lauren R. Gullett & Dana M. Alhasan & W. Braxton Jackson & Chandra L. Jackson, 2022. "Employment Industry and Occupational Class in Relation to Serious Psychological Distress in the United States," IJERPH, MDPI, vol. 19(14), pages 1-26, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8376-:d:858676
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    References listed on IDEAS

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    1. Patrick Kline & Evan K Rose & Christopher R Walters, 2023. "Systemic Discrimination Among Large U.S. Employers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(4), pages 1963-2036.
    2. Gabriele Giorgi & Luigi Isaia Lecca & Federico Alessio & Georgia Libera Finstad & Giorgia Bondanini & Lucrezia Ginevra Lulli & Giulio Arcangeli & Nicola Mucci, 2020. "COVID-19-Related Mental Health Effects in the Workplace: A Narrative Review," IJERPH, MDPI, vol. 17(21), pages 1-22, October.
    3. Anuli Njoku & Marian Evans, 2022. "Black Women Faculty and Administrators Navigating COVID-19, Social Unrest, and Academia: Challenges and Strategies," IJERPH, MDPI, vol. 19(4), pages 1-14, February.
    4. Paul Litchfield & Cary Cooper & Christine Hancock & Patrick Watt, 2016. "Work and Wellbeing in the 21st Century," IJERPH, MDPI, vol. 13(11), pages 1-11, October.
    5. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    6. Donald Harris, 1978. "Capitalist exploitation and black labor: Some conceptual issues," The Review of Black Political Economy, Springer;National Economic Association, vol. 8(2), pages 133-151, December.
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    Cited by:

    1. Emily Q. Ahonen & Megan R. Winkler & Anjum Hajat, 2022. "Work, Health, and the Ongoing Pursuit of Health Equity," IJERPH, MDPI, vol. 19(21), pages 1-4, October.

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