The contribution of job characteristics to socioeconomic inequalities in incidence of myocardial infarction.

Details

Serval ID
serval:BIB_0BE198519218
Type
Article: article from journal or magazin.
Collection
Publications
Title
The contribution of job characteristics to socioeconomic inequalities in incidence of myocardial infarction.
Journal
Social science & medicine
Author(s)
Huisman M., Van Lenthe F., Avendano M., Mackenbach J.
ISSN
0277-9536 (Print)
ISSN-L
0277-9536
Publication state
Published
Issued date
06/2008
Peer-reviewed
Oui
Volume
66
Number
11
Pages
2240-2252
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
The current study estimated the contribution of job characteristics to socioeconomic inequalities in incidence of myocardial infarction (MI) during a 12-year follow-up period. Data were from the working population (aged 25-64 years) in the Netherlands longitudinal GLOBE study (N=5757). Self-reported information was available from baseline measurement (in 1991) for education, occupation, job demand, job control, fear of becoming unemployed, adverse physical working conditions, and smoking and alcohol use. Information on hospital admissions for MI among study participants was available until 2003, and was linked to baseline data via record linkage. Cox regression analyses were performed to estimate the hazard of MI in different socioeconomic groups before and after adjustment for job characteristics and health-related behaviours. Lower educated and manual workers had a higher risk of MI during follow-up, after adjusting for age, sex and marital status than higher educated and non-manual workers, respectively. After adjustment for occupation, the lowest educated still had an elevated risk of MI. After adjustment for education, no significant association of occupation with MI was observed. Job control and adverse physical working conditions were not significantly associated with MI after adjustment for socioeconomic position. These results suggest that the reduction of the socioeconomic position-MI association after adjustment for the two specific job characteristics reflect the effect of other unobserved factors closely related to both socioeconomic position and job characteristics. The results of this study point toward education as being the stronger predictor of hospital admitted MI, compared to occupational position and job characteristics, in the Dutch working population.
Keywords
Adult, Female, Health Status Disparities, Humans, Incidence, Longitudinal Studies, Male, Middle Aged, Myocardial Infarction/economics, Myocardial Infarction/epidemiology, Netherlands/epidemiology, Occupational Diseases/economics, Occupational Diseases/epidemiology, Occupations/economics, Regression Analysis, Risk Factors, Socioeconomic Factors
Pubmed
Web of science
Create date
18/10/2021 14:59
Last modification date
04/11/2021 7:40
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