Contribution of income and job strain to the association between education and cardiovascular disease in 1.6 million Danish employees

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Framke , E , Sorensen , J K , Andersen , P K , Svane-Petersen , A C , Alexanderson , K , Bonde , J P , Farrants , K , Flachs , E M , Hanson , L L M , Nyberg , S T , Villadsen , E , Kivimäki , M , Rugulies , R & Madsen , I E H 2020 , ' Contribution of income and job strain to the association between education and cardiovascular disease in 1.6 million Danish employees ' , European Heart Journal , vol. 41 , no. 11 , pp. 1164-+ . https://doi.org/10.1093/eurheartj/ehz870

Title: Contribution of income and job strain to the association between education and cardiovascular disease in 1.6 million Danish employees
Author: Framke, Elisabeth; Sorensen, Jeppe Karl; Andersen, Per Kragh; Svane-Petersen, Annemette Coop; Alexanderson, Kristina; Bonde, Jens Peter; Farrants, Kristin; Flachs, Esben Meulengracht; Hanson, Linda L. Magnusson; Nyberg, Solja T.; Villadsen, Ebbe; Kivimäki, Mika; Rugulies, Reiner; Madsen, Ida E. H.
Contributor: University of Helsinki, Department of Public Health
University of Helsinki, Department of Public Health
Date: 2020-03-14
Language: eng
Number of pages: 16
Belongs to series: European Heart Journal
ISSN: 0195-668X
URI: http://hdl.handle.net/10138/314604
Abstract: Aims We examined the extent to which associations between education and cardiovascular disease (CVD) morbidity and mortality are attributable to income and work stress. Methods and results We included all employed Danish residents aged 30-59 years in 2000. Cardiovascular disease morbidity analyses included 1 638 270 individuals, free of cardiometabolic disease (CVD or diabetes). Mortality analyses included 41 944 individuals with cardiometabolic disease. We assessed education and income annually from population registers and work stress, defined as job strain, with a job-exposure matrix. Outcomes were ascertained until 2014 from health registers and risk was estimated using Cox regression. During 10 957 399 (men) and 10 776 516 person-years (women), we identified 51 585 and 24 075 incident CVD cases, respectively. For men with low education, risk of CVD was 1.62 [95% confidence interval (CI) 1.58-1.66] before and 1.46 (95% CI 1.42-1.50) after adjustment for income and job strain (25% reduction). In women, estimates were 1.66 (95% CI 1.61-1.72) and 1.53 (95% CI 1.47-1.58) (21% reduction). Of individuals with cardiometabolic disease, 1736 men (362 234 personyears) and 341 women (179 402 person-years) died from CVD. Education predicted CVD mortality in both sexes. Estimates were reduced with 54% (men) and 33% (women) after adjustment for income and job strain. Conclusion Low education predicted incident CVD in initially healthy individuals and CVD mortality in individuals with prevalent cardiometabolic disease. In men with cardiometabolic disease, income and job strain explained half of the higher CVD mortality in the tow education group. In healthy men and in women regardless of cardiometabolic disease, these factors explained 21-33% of the higher CVD morbidity and mortality.
Subject: Nationwide study
Universal coverage
Social determinants
Mechanisms
Cardiovascular disease
Cardiovascular mortality
SOCIOECONOMIC INEQUALITIES
MORTALITY
HEALTH
REGISTERS
TRENDS
RISK
3121 General medicine, internal medicine and other clinical medicine
3142 Public health care science, environmental and occupational health
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