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Paid Sick Leave and Self-Reported Depression and Anxiety: Evidence From a Nationally Representative Longitudinal Survey

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Am J Prev Med
  • Personal Author:
    Asfaw, Abay
  • Description:
    Introduction:

    The objective of this study was to explore the association between access to paid sick leave (AtPSL) and self-reported feelings of depression and anxiety in a nationally representative U.S. working population.

    Methods:

    In 2023, this study examined data from the 2019–2020 Longitudinal National Health Interview Survey. A Generalized Linear Latent and Mixed Model (GLLAMM) was used to analyze the longitudinal data.

    Results:

    The descriptive analysis of population averages showed that fewer workers with AtPSL reported daily feelings of depression (45%), anxiety (24%), and both depression and anxiety (52%) than workers without AtPSL. According to the GLLAMM analysis, the odds of workers with AtPSL self-reporting feelings of daily depression, anxiety, and both were 48%, 27%, and 51% lower, respectively, than workers without AtPSL. This analysis controlled for different demographic and socioeconomic variables. Robustness analysis demonstrated that these associations persisted when the outcome variables were measured in terms of self-reported feelings of weekly depression and anxiety.

    Conclusions:

    The role of mental health in improving overall well-being and the recognition of AtPSL as a social justice issue have reinforced the importance of providing paid sick leave to help protect the mental health status of workers. This study, using a unique longitudinal data set, found that AtPSL was associated with a lower prevalence of self-reported daily or weekly feelings of depression and anxiety.

  • Subjects:
  • Source:
    Am J Prev Med. 66(4):627-634
  • Pubmed ID:
    37979622
  • Pubmed Central ID:
    PMC10957295
  • Document Type:
    Journal Article
  • Funding:
    CC999999/ImCDC/Intramural CDC HHSUnited States/
  • Volume:
    66
  • Issue:
    4
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:fb7801289c8055de8a5b6856042ff64a9b5165c2c0255a0635254170908aeb7065c2c6ec4c229326feaa94f0626006b9dfda352694c8523039fa13845756bf80
  • Download URL:
  • File Type:
    Filetype[PDF - 128.67 KB ]
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