Literature DB >> 25813501

Social class and mental health: testing exploitation as a relational determinant of depression.

Carles Muntaner1, Edwin Ng1, Seth J Prins1, Katia Bones-Rocha1, Albert Espelt1, Haejoo Chung2.   

Abstract

This study tests whether social class exploitation operates as a relational mechanism that generates mental health inequalities in the nursing home industry. We ask, does social class exploitation (i.e., the acquisition of economic benefits from the labor of those who are dominated) have a systematic and predictable impact on depression among nursing assistants? Using cross-sectional data from 868 nursing assistants employed in 50 nursing homes in three U.S. states, we measure social class exploitation as "ownership type" (private for-profit, private not-for-profit, and public) and "managerial domination" (labor relations violations, perceptions of labor-management conflict). Depression is assessed using the original and revised versions of the Center for Epidemiologic Studies Depression Scale (CES-D and CESD-R). Using two-level logistic regressions, we find that private for-profit ownership and higher managerial domination are predictive of depression among nursing assistants even after adjustment for potential confounders and mediators. Our findings confirm the theoretical and empirical value of applying a social class approach to understanding how mental health inequalities are generated through exploitative mechanisms. Ownership type and managerial domination appear to affect depression through social relations that generate mental health inequalities through the process of acquiring profits, controlling production, supervising and monitoring labor, and enforcing disciplinary sanctions.
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Entities:  

Keywords:  depression; exploitation; mental health; nursing assistant; work organization

Mesh:

Year:  2015        PMID: 25813501      PMCID: PMC4747250          DOI: 10.1177/0020731414568508

Source DB:  PubMed          Journal:  Int J Health Serv        ISSN: 0020-7314            Impact factor:   1.663


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