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Job characteristics in relation to the prevalence of myocardial infarction in the US Health Examination Survey (HES) and the Health and Nutrition Examination Survey (HANES).
Karasek-RA; Theorell-T; Schwartz-JE; Schnall-PL; Pieper-CF; Michela-JL
Am J Publ Health 1988 Aug; 78(8):910-918
A job characteristic estimation system was developed to assist in defining job stress for workers with coronary heart disease. Having access to both job conditions and status of health should enable researchers to make tests of various hypotheses concerning a relationship between the two. For 221 census occupations, job characteristics were estimated using the US Department of Labor Quality of Employment Surveys. A simple contingency table analysis was made of the relationship between myocardial infarction prevalence to job strain and age in two data bases, the Health and Nutrition Examination Survey (HANES) and the Health Examination Survey (HES). Both data bases indicated an elevated prevalence of myocardial infarction (MI) in the high strain occupations. The estimated attributable risk was .25 and .33 for the HES and HANES data bases, respectively. Even though this analysis does not control for factors such as race, blood pressure, cholesterol and smoking status, the results obtained indicate the great impact of job stress on MI. According to the authors, the findings suggest that the social structure of work is correlated with MI. Such findings should cause some change in preventive medicine approaches to the problem of coronary heart disease.
NIOSH-Publication; NIOSH-Grant; Job-stress; Psychological-stress; Behavior; Humans; Worker-health; Cardiovascular-system-disorders; Epidemiology
Robert A. Karasek, PhD, Associate Professor, Department of Industrial and Systems Engineering, University of Southern California, University Park, Los Angeles, CA 90089-0193
Issue of Publication
American Journal of Public Health
Columbia University, Department of Industrial Engineering and Operations Research, New York, New York
Page last reviewed: November 22, 2019
Content source: National Institute for Occupational Safety and Health Education and Information Division