Seth J Prins1,2, Sarah McKetta1, Jonathan Platt1, Carles Muntaner3, Katherine M Keyes1,4, Lisa M Bates1. 1. Department of Epidemiology, Columbia University, New York, New York. 2. Department of Sociomedical Sciences, Columbia University, New York, New York. 3. Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario. 4. Center for Research on Society and Health, Universidad Mayor, Santiago, Chile.
Abstract
BACKGROUND: We draw on a relational theoretical perspective to investigate how the social division and structure of labor are associated with serious and moderate mental illness and binge and heavy drinking. METHODS: The Panel Study of Income Dynamics and the Occupational Information Network were linked to explore how occupation, the productivity-to-pay gap, unemployment, the gendered division of domestic labor, and factor-analytic and theory-derived dimensions of work are related to mental illness and drinking outcomes. RESULTS: Occupations involving manual labor and customer interaction, entertainment, sales, or other service-oriented labor were associated with increased odds of mental illness and drinking outcomes. Looking for work, more hours of housework, and a higher productivity-to-pay gap were associated with increased odds of mental illness. Physical/risky work was associated with binge and heavy drinking and serious mental illness; technical/craft work and automation were associated with binge drinking. Work characterized by higher authority, autonomy, and expertise was associated with lower odds of mental illness and drinking outcomes. CONCLUSIONS: Situating work-related risk factors within their material context can help us better understand them as determinants of mental illness and identify appropriate targets for social change.
BACKGROUND: We draw on a relational theoretical perspective to investigate how the social division and structure of labor are associated with serious and moderate mental illness and binge and heavy drinking. METHODS: The Panel Study of Income Dynamics and the Occupational Information Network were linked to explore how occupation, the productivity-to-pay gap, unemployment, the gendered division of domestic labor, and factor-analytic and theory-derived dimensions of work are related to mental illness and drinking outcomes. RESULTS: Occupations involving manual labor and customer interaction, entertainment, sales, or other service-oriented labor were associated with increased odds of mental illness and drinking outcomes. Looking for work, more hours of housework, and a higher productivity-to-pay gap were associated with increased odds of mental illness. Physical/risky work was associated with binge and heavy drinking and serious mental illness; technical/craft work and automation were associated with binge drinking. Work characterized by higher authority, autonomy, and expertise was associated with lower odds of mental illness and drinking outcomes. CONCLUSIONS: Situating work-related risk factors within their material context can help us better understand them as determinants of mental illness and identify appropriate targets for social change.
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Authors: Seth J Prins; Sarah McKetta; Jonathan Platt; Carles Muntaner; Katherine M Keyes; Lisa M Bates Journal: Epidemiology Date: 2021-03-01 Impact factor: 4.860