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.
Original language | English |
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Journal | American Journal of Industrial Medicine |
DOIs | |
Publication status | Accepted/In press - 2018 Jan 1 |
Keywords
- division of labor
- drinking
- mental health
- occupational health
- occupations
- social class
- work
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health