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A procedure for linking psychosocial job characteristics data to health surveys.

Authors
Schwartz-JE; Pieper-CF; Karasek-RA
Source
Am J Publ Health 1988 Aug; 78(8):904-909
NIOSHTIC No.
00181462
Abstract
A system was proposed in which job information from comprehensive national surveys of working conditions can be used to imput job psychosocial characteristics to surveys of health status. Earlier efforts often carry biases which become important when using linkage systems based on mean scores. The linkage system in this new method was modified to adjust imputed individual scores for age, education, race, marital status, and sex. The efficiency and reliability of the modified linkage system were reported. Decision latitude and physical exertion were more efficiently imputed with the linkage system than earnings in spite of the psychosocial nature of the earlier terms. Such as system may prove useful in initial epidemiological studies of the consequences of psychosocial job characteristics. Three cases were examined using this new method of analyses. The first was a case of simple regression of the risk of coronary heart disease on job strain or other work condition. The second case was regression of the risk of coronary heart disease on a work condition such as job strain and age. The final case involved regression of the risk of coronary heart disease on job strain, age, and a control variable such as cholesterol intake.
Keywords
NIOSH-Publication; NIOSH-Grant; Age-factors; Sex-factors; Physiological-stress; Psychophysiology; Job-stress; Psychological-stress; Physical-stress; Emotional-stress; Cardiovascular-system-disorders; Epidemiology
Contact
Columbia University, Department of Industrial Engineering and Operatons Research, Room 302, Seeley W. Mudd Building, New York, N Y 10027
CODEN
AJHEAA
Publication Date
19880801
Document Type
Journal Article
Funding Amount
444505
Funding Type
Grant
Fiscal Year
1988
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-00906
Issue of Publication
8
ISSN
0090-0036
Source Name
American Journal of Public Health
State
NY
Performing Organization
Columbia University, Department of Industrial Engineering and Operations Research, New York, New York
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