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Gender, depression, and blue-collar work: A retrospective cohort study of U.S. aluminum manufacturers

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Epidemiology
  • Personal Author:
  • Description:
    Background:

    Industrial blue-collar workers face multiple work-related stressors, but evidence regarding the burden of mental illness among today’s blue-collar men and women remains limited.

    Methods:

    In this retrospective cohort study, we examined health and employment records for 37,183 blue- and white-collar workers employed by a single U.S. aluminum manufacturer from 2003 – 2013. Using Cox proportional hazards regression, we modeled time to first episode of treated depression by gender and occupational class. Among cases, we modeled rates of depression-related service utilization with generalized gamma regression.

    Results:

    Compared with their white-collar counterparts, blue-collar men were more likely to be treated for depression (HR = 1.3, 95% CI 1.1 – 1.4) as were blue-collar women (HR = 1.4, 1.2 – 1.6). Blue-collar women were most likely to be treated for depression as compared with white-collar men (HR = 3.2, 95% CI 2.1 – 5.0). However, blue-collar workers used depression-related services less frequently than their white-collar counterparts among both men (RR = 0.91, 95% CI 0.84 – 0.98) and women (RR = 0.82, 95% CI 0.77 – 0.88).

    Conclusion:

    Blue-collar women were most likely to be treated for depression compared with white-collar workers, and blue-collar women were most likely to be treated for depression compared with white-collar men. However, blue-collar men and women used depression-related healthcare services less frequently than white-collar workers. These findings underscore that blue-collar women may be uniquely susceptible to depression, and suggest that blue-collar workers may encounter barriers to care-seeking related mental illness other than their insurance status.

  • Subjects:
  • Source:
    Epidemiology. 30(3):435-444
  • Pubmed ID:
    30964814
  • Pubmed Central ID:
    PMC6461367
  • Document Type:
  • Funding:
  • Volume:
    30
  • Issue:
    3
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:6f5b0aed31419cfacade7c54ff72a559398be2df73287a316b1099c47ba8325f
  • Download URL:
  • File Type:
    Filetype[PDF - 274.11 KB ]
File Language:
English
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