Literature DB >> 12821271

How to measure "what people do for a living" in research on the socioeconomic correlates of health.

John Robert Warren1, Hsiang-Hui Kuo.   

Abstract

PURPOSE: Recent evidence suggests that occupational standing is not independently associated with health outcomes when occupations are ranked using socioeconomic criteria. In this study we ask two questions. First, is occupational standing associated with health outcomes when health-related criteria are used to establish the relative standing of occupations? Second, are job characteristics more closely related to health outcomes than occupational characteristics?
METHODS: We use data from the Wisconsin Longitudinal Study-that includes a unique combination of occupational, job, and health measures-and estimate a series of logistic regression models of the effects of education and job/occupational characteristics on several health outcomes.
RESULTS: We find few independent relationships between occupational standing and health, using socioeconomic or health-related criteria. However, we do find some significant relationships between job characteristics and health outcomes.
CONCLUSIONS: We conclude that what people do for a living does matter for their health, even beyond the effects of educational attainment, but that to assess the relationships between what people do for a living and their health outcomes we should measure the characteristics of their jobs, not of their occupations.

Entities:  

Mesh:

Year:  2003        PMID: 12821271     DOI: 10.1016/s1047-2797(02)00418-0

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  3 in total

1.  Does Growing Childhood Socioeconomic Inequality Mean Future Inequality in Adult Health?

Authors:  John Robert Warren
Journal:  Ann Am Acad Pol Soc Sci       Date:  2015-12-10

2.  Cohort profile: Wisconsin longitudinal study (WLS).

Authors:  Pamela Herd; Deborah Carr; Carol Roan
Journal:  Int J Epidemiol       Date:  2014-02       Impact factor: 7.196

3.  Is occupation a good predictor of self-rated health in China?

Authors:  Zheng Xie; Adrienne N Poon; Zhijun Wu; Weiyan Jian; Kit Yee Chan
Journal:  PLoS One       Date:  2015-05-07       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.