Using a causal decomposition approach to estimate the contribution of employment to differences in mental health profiles between men and women

This study provided an estimate of the contribution of employment to the observed differences in multidimensional mental health between men and women. This adds to the literature by including a broader range of mental health indicators than disorders alone, and by formalizing the causal framework used to study these relationships.

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Publication Details

Journal
SSM - Population Health
Published
2024-10-12
DOI
https://doi.org/10.1016/j.ssmph.2024.101718
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Using a causal decomposition approach to estimate the contribution of employment to differences in mental health profiles between men and women

Elizabeth Lin, Christa Orchard, Laura C. Rosella, Peter Smith
SSM - Population Health
Employment and Welfare Studies
article

Using a causal decomposition approach to estimate the contribution of employment to differences in mental health profiles between men and women

Elizabeth Lin, Christa Orchard, Laura C. Rosella, Peter Smith
article en

Abstract

This study provided an estimate of the contribution of employment to the observed differences in multidimensional mental health between men and women. This adds to the literature by including a broader range of mental health indicators than disorders alone, and by formalizing the causal framework used to study these relationships.

SSM - Population HealthVol. 28
Centre for Addiction and Mental Health (CA), University of Toronto (CA), Trillium Health Centre (CA), Public Health Ontario (CA), Institute for Work & Health (CA)
Gender equality
Openalex Percentile: Top 69%
Employment and Welfare Studies
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Using a causal decomposition approach to estimate the contribution of employment to differences in mental health profiles between men and women — Elizabeth Lin, Christa Orchard, et al. · SSM - Population Health (2024) | TGRS Research Map | TGRS