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Occupational position and Type A behavior: Results from the first Monica Survey, Augsburg, F.R.G.

Soc. Sci. Med. 29, 1367-1372 (1989)
DOI
Open Access Green as soon as Postprint is submitted to ZB.
The relationships between employment status and Type A behavior pattern have been investigated with data from the first MONICA Survey Augsburg, F.R.G., 1984/852 (MONICA = Monitoring of trends and determinants of cardiovascular disease). Study population was a two-stage cluster sample of 5312 men and women, aged 25-64 (response 79.4%). Measurement instruments were interviews and a self-administered questionnaire. Type A was measured by the Framingham Type A behavior scale. In multiple logistic regression analyses, Type A behavior among men was studied as a function of various occupational positions [blue-collar, white-collar, civil (public) servants, self-employed], controlling for age, educational level, marital status, and interaction effects. In those analyses it was found that the occupational position 'self-employed' was the best predictor of Type A behavior (odds ratio 3.0 compared to blue-collar employees). Since most of the employed women were white-collar employees (a very homogeneous group) Type A behavior among women was studied as a function of full-time and part-time employment, with the same control variables as were included in the analyses for men. Taking into account the statiscal significant interaction effect age by employment, it could be shown that the odds of being Type A for a 50 yr old woman was 3.5 compared to a housewife at the same age. In summary the findings show strong relationships between work situation and Type A behavior for both men and women. Especially the self-employed men have more Type A behavior patterns, so may have higher CHD risk.
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Publication type Article: Journal article
Document type Scientific Article
ISSN (print) / ISBN 0037-7856
e-ISSN 0277-9536
Quellenangaben Volume: 29, Issue: 12, Pages: 1367-1372 Article Number: , Supplement: ,
Publisher Elsevier
Reviewing status Peer reviewed
Institute(s) Department for Medical Information Systems (MEDIS)
Institute of Epidemiology (EPI)