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

Author:

Framke Elisabeth1ORCID,Sørensen Jeppe Karl1,Andersen Per Kragh2ORCID,Svane-Petersen Annemette Coop1ORCID,Alexanderson Kristina3,Bonde Jens Peter4,Farrants Kristin3ORCID,Flachs Esben Meulengracht4,Hanson Linda L Magnusson5,Nyberg Solja T6,Villadsen Ebbe1ORCID,Kivimäki Mika678,Rugulies Reiner1910ORCID,Madsen Ida E H1ORCID

Affiliation:

1. National Research Centre for the Working Environment, Lerso Parkalle 105, DK-2100 Copenhagen, Denmark

2. Section of Biostatistics, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, DK-1014 Copenhagen, Denmark

3. Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Berzelius väg 3, SE-171 77 Stockholm, Sweden

4. Department of Occupational and Environmental Medicine, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23F, DK-2400 Copenhagen, Frederiksberg, Denmark

5. Stress Research Institute, Stockholm University, Frescati Hagväg 16A, SE-114 19 Stockholm, Sweden

6. Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Yliopistonkatu 3, 00014 University of Helsinki, Finland

7. Helsinki Institute of Life Sciences, Yliopistonkatu 3, 00014 University of Helsinki, Finland

8. Department of Epidemiology and Public Health, University College of London, 1–19 Torrington Place, London WC1E 6BT, UK

9. Section of Epidemiology, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, DK-1014 Copenhagen, Denmark

10. Department of Psychology, University of Copenhagen, Øster Farimagsgade 2A, DK-1353 Copenhagen, Denmark

Abstract

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 person-years) 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 low education group. In healthy men and in women regardless of cardiometabolic disease, these factors explained 21–33% of the higher CVD morbidity and mortality.

Funder

NordForsk Nordic Program on Health and Welfare

Danish Working Environment Research Fund

Swedish Research Council of Health, Working Life and Welfare

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine

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