Paid Sick Leave and Self-Reported Depression and Anxiety: Evidence from a Nationally Representative Longitudinal Survey
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2024/04/01
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By Asfaw A
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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. [Description provided by NIOSH]
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ISSN:0749-3797
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Volume:66
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Issue:4
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NIOSHTIC Number:nn:20068822
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Citation:Am J Prev Med 2024 Apr; 66(4):627-634
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Contact Point Address:Abay Asfaw, PhD, Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH), 400 7th Street, SW Floor 5W, Washington DC 20024
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Email:AAsfaw@cdc.gov
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Federal Fiscal Year:2024
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Peer Reviewed:True
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Source Full Name:American Journal of Preventive Medicine
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Main Document Checksum:urn:sha-512:05438aa74837198c48f402df8139c61a9fef5089f38b8bd1a8b0e7bdf7de2d1ef70ca75dc4e9a0bccb4345a40e529ad8914c3ca81e446fb46e91b80056225b1e
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