2012
DOI: 10.1016/s0140-6736(12)60994-5
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Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data

Abstract: SummaryBackgroundPublished work assessing psychosocial stress (job strain) as a risk factor for coronary heart disease is inconsistent and subject to publication bias and reverse causation bias. We analysed the relation between job strain and coronary heart disease with a meta-analysis of published and unpublished studies.MethodsWe used individual records from 13 European cohort studies (1985–2006) of men and women without coronary heart disease who were employed at time of baseline assessment. We measured job… Show more

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Cited by 823 publications
(691 citation statements)
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“…This latter finding is consistent with a recently proposed psychosocial “perfect storm13” model 13 of CVD risk that suggests an underlying vulnerability (eg, depression) is associated with greater risk of cardiac events and mortality, particularly in the presence of perceived stress. Although examinations of the association between depressive symptoms or stress and CVD are increasingly common,4, 6, 7, 8, 9, 14, 15, 16, 17, 18, 19 fewer studies have examined the combined effects of depressive symptoms and stress 10, 11. The perfect storm model emphasizes the importance of considering the convergence of a variety of factors that contribute to CVD risk rather than focusing on 1 risk factor in isolation.…”
Section: Introductionmentioning
confidence: 99%
“…This latter finding is consistent with a recently proposed psychosocial “perfect storm13” model 13 of CVD risk that suggests an underlying vulnerability (eg, depression) is associated with greater risk of cardiac events and mortality, particularly in the presence of perceived stress. Although examinations of the association between depressive symptoms or stress and CVD are increasingly common,4, 6, 7, 8, 9, 14, 15, 16, 17, 18, 19 fewer studies have examined the combined effects of depressive symptoms and stress 10, 11. The perfect storm model emphasizes the importance of considering the convergence of a variety of factors that contribute to CVD risk rather than focusing on 1 risk factor in isolation.…”
Section: Introductionmentioning
confidence: 99%
“…However, although several reviews of this field exist (5,(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24), the few systematic quantifications of the evidence have been based on published cross-sectional (18,19,25) or published longitudinal studies (26). Given the potential publication bias in studies based on published data (27), an individual-participant metaanalysis of unpublished data would provide important complementary evidence to evaluate the effect of long working hours on mental health. Furthermore, long working hours are more common in Asia and North America than in Europe and the risk of mental health problems is higher among women and individuals with low socioeconomic position than men and those with high socioeconomic status.…”
mentioning
confidence: 99%
“…Individuals who report excessive work demands coupled with low decisional latitude are deemed to be experiencing "job strain" [55]. However a recent meta-analysis found only a small increase in incident CHD associated with job strain (HR 1·23; 95% CI 1·10-1·37) [56]. Similarly, the perception of an imbalance between the effort of work (e.g.…”
Section: Stress and Cvdmentioning
confidence: 99%