This study examined the role of occupations and industries in explaining differences among workers reporting poorer mental health in the Canadian workforce. It used data coming from a large representative sample of 77,377 workers engaged in 139 occupations and 95 industries. Logistic regression analysis was used to identify differences in the odds of reporting poorer mental health, adjusting for gender, age, education, marital status, and household income. Results identify ten occupations and nine industries at higher risk for workers reporting poorer mental health. The article concludes by highlighting implications for actors and policymakers and by specifying potential targets for intervention.
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http://dx.doi.org/10.1016/j.ijlp.2007.06.002 | DOI Listing |
JMIR Form Res
January 2025
Larner College of Medicine, University of Vermont, Burlington, VT, United States.
Background: Social media has become a widely used way for people to share opinions about health care and medical topics. Social media data can be leveraged to understand patient concerns and provide insight into why patients may turn to the internet instead of the health care system for health advice.
Objective: This study aimed to develop a method to investigate Reddit posts discussing health-related conditions.
JAMA Netw Open
January 2025
The GW Cancer Center, Washington, DC.
JAMA Netw Open
January 2025
Department of Health Behavior, Society, and Policy, School of Public Health, Rutgers University, Piscataway, New Jersey.
JAMA Netw Open
January 2025
Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California.
Importance: Limited research explores mental health disparities between individuals in sexual and gender minority (SGM) populations and cisgender heterosexual (non-SGM) populations using national-level data.
Objective: To explore mental health disparities between SGM and non-SGM populations across sexual orientation, sex assigned at birth, and gender identity within the All of Us Research Program.
Design, Setting, And Participants: This cross-sectional study used survey data and linked electronic health records of eligible All of Us Research Program participants from May 31, 2017, to June 30, 2022.
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