{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Asfaw A"],"funding":["Centers for Disease Control and Prevention","National Institute for Occupational Safety and Health","Intramural CDC HHS"],"pagination":["627-634"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10957295"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["66(4)"],"pubmed_abstract":["<h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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."],"journal":["American journal of preventive medicine"],"pubmed_title":["Paid Sick Leave and Self-Reported Depression and Anxiety: Evidence From a Nationally Representative Longitudinal Survey."],"pmcid":["PMC10957295"],"funding_grant_id":["CC999999"],"pubmed_authors":["Asfaw A"],"additional_accession":[]},"is_claimable":false,"name":"Paid Sick Leave and Self-Reported Depression and Anxiety: Evidence From a Nationally Representative Longitudinal Survey.","description":"<h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Apr","modification":"2025-07-05T03:04:28.996Z","creation":"2025-07-05T03:04:28.996Z"},"accession":"S-EPMC10957295","cross_references":{"pubmed":["37979622"],"doi":["10.1016/j.amepre.2023.11.012"]}}