Journal article
Mental illness, drinking, and the social division and structure of labor in the United States: 2003-2015
American journal of industrial medicine, Vol.62(2), pp.131-144
02/2019
DOI: 10.1002/ajim.22935
PMCID: PMC6511991
PMID: 30565724
Abstract
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.
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.
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.
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.
Details
- Title: Subtitle
- Mental illness, drinking, and the social division and structure of labor in the United States: 2003-2015
- Creators
- Seth J Prins - Department of Sociomedical Sciences, Columbia University, New York, New YorkSarah McKetta - Department of Epidemiology, Columbia University, New York, New YorkJonathan Platt - Department of Epidemiology, Columbia University, New York, New YorkCarles Muntaner - Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, OntarioKatherine M Keyes - Center for Research on Society and Health, Universidad Mayor, Santiago, ChileLisa M Bates - Department of Epidemiology, Columbia University, New York, New York
- Resource Type
- Journal article
- Publication Details
- American journal of industrial medicine, Vol.62(2), pp.131-144
- DOI
- 10.1002/ajim.22935
- PMID
- 30565724
- PMCID
- PMC6511991
- NLM abbreviation
- Am J Ind Med
- ISSN
- 0271-3586
- eISSN
- 1097-0274
- Grant note
- R01 AG040213 / NIA NIH HHS T32 DA037801 / NIDA NIH HHS R01 HD069609 / NICHD NIH HHS SES 1157698 / National Science Foundation K01 DA045955 / NIDA NIH HHS T32 MH013043 / NIMH NIH HHS 1623684 / National Science Foundation
- Language
- English
- Date published
- 02/2019
- Academic Unit
- Epidemiology; Injury Prevention Research Center
- Record Identifier
- 9984214674102771
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