Job characteristics of occupations and myocardial infarction risk: Effect of possible confounding factors
Lars Alfredsson and
Töres Theorell
Social Science & Medicine, 1983, vol. 17, issue 20, 1497-1503
Abstract:
In this paper some previously found associations between psychosocial occupational characteristics and myocardial infarction (MI) risk are scrutinized regarding confounding effects. Standardized occupational characteristics were obtained for 118 occupational groups by means of a nation wide interview survey (3876 men). Possible confounding factors available were smoking, low level of education, high proportion of immigrants (mainly of Finnish origin) and heavy lifting. The standardized characteristics were utilized in a case-control study of 1216 men 40-64 years of age, living in the Stockholm County. It was concluded that occupations characterized by both high demand and at the same time small possibility of control or growth ('strain') are associated with an elevated MI risk regardless of the confounding factors. Taking each of the confounding factors into account the risk of developing MI for men aged 40-54 years employed in these strenous occupations is about twice as high as for those employed in other occupations.
Date: 1983
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0277-9536(83)90094-1
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:17:y:1983:i:20:p:1497-1503
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01
Access Statistics for this article
Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian
More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().