BACKGROUND: This study identifies potential mediators of job strain effects on health by determining whether psychosocial factors known to predict an increased risk of cardiovascular disease and all-cause mortality are higher among women who report high levels of job strain. METHODS: Measures of job strain and other psychosocial risk factors were obtained in a sample of 152 female employees of a local corporation. Canonical correlation and analyses of covariance were used to assess relationships between job demands and decision latitude and other psychosocial risk factors. RESULTS: A significant (P = .002) solution to the canonical correlation analysis showed that high job demands and low decision latitude were correlated with a pattern of psychosocial factors consisting of (1) increased levels of negative emotions like anxiety, anger, depression, and hostility; (2) reduced levels of social support; and (3) a preponderance of negative compared with positive feelings in dealings with coworkers and supervisors. This pattern was confirmed by analyses of covariance that adjusted for demographic and specific job characteristics. CONCLUSIONS: The canonical correlation analysis results provide empirical support for the job strain construct. The most important finding is that health-damaging psychosocial factors like job strain, depression, hostility, anxiety, and social isolation tend to cluster in certain individuals.
BACKGROUND: This study identifies potential mediators of job strain effects on health by determining whether psychosocial factors known to predict an increased risk of cardiovascular disease and all-cause mortality are higher among women who report high levels of job strain. METHODS: Measures of job strain and other psychosocial risk factors were obtained in a sample of 152 female employees of a local corporation. Canonical correlation and analyses of covariance were used to assess relationships between job demands and decision latitude and other psychosocial risk factors. RESULTS: A significant (P = .002) solution to the canonical correlation analysis showed that high job demands and low decision latitude were correlated with a pattern of psychosocial factors consisting of (1) increased levels of negative emotions like anxiety, anger, depression, and hostility; (2) reduced levels of social support; and (3) a preponderance of negative compared with positive feelings in dealings with coworkers and supervisors. This pattern was confirmed by analyses of covariance that adjusted for demographic and specific job characteristics. CONCLUSIONS: The canonical correlation analysis results provide empirical support for the job strain construct. The most important finding is that health-damaging psychosocial factors like job strain, depression, hostility, anxiety, and social isolation tend to cluster in certain individuals.
Authors: Redford B Williams; Richard S Surwit; Ilene C Siegler; Allison E Ashley-Koch; Ann L Collins; Michael J Helms; Anastasia Georgiades; Stephen H Boyle; Beverly H Brummett; John C Barefoot; Katherine Grichnik; Mark Stafford-Smith; Edward C Suarez; Cynthia M Kuhn Journal: Psychosom Med Date: 2010-07-01 Impact factor: 4.312
Authors: Abanish Singh; Michael A Babyak; Daniel K Nolan; Beverly H Brummett; Rong Jiang; Ilene C Siegler; William E Kraus; Svati H Shah; Redford B Williams; Elizabeth R Hauser Journal: Eur J Hum Genet Date: 2014-10-01 Impact factor: 4.246
Authors: N Kawakami; K Akachi; H Shimizu; T Haratani; F Kobayashi; M Ishizaki; T Hayashi; O Fujita; Y Aizawa; S Miyazaki; H Hiro; S Hashimoto; S Araki Journal: Occup Environ Med Date: 2000-12 Impact factor: 4.402
Authors: Hermann Nabi; Mika Kivimäki; Michael G Marmot; Jane Ferrie; Marie Zins; Pierre Ducimetière; Silla M Consoli; Archana Singh-Manoux Journal: Int J Epidemiol Date: 2008-02-14 Impact factor: 7.196