Evidence map›Paper›PMID 31844881›Full record

ArticleEuropean heart journal2020

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

Elisabeth Framke, Jeppe Karl Sørensen, Per Kragh Andersen, Annemette Coop Svane-Petersen, Kristina Alexanderson, Jens Peter Bonde, Kristin Farrants, Esben Meulengracht Flachs, Linda L Magnusson Hanson, Solja T Nyberg and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
10.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 58 citations in OpenAlex.

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  9. Impact of Social Determinants of Health on Cardiovascular Disease.Journal of the American Heart Association · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 4 countries.

Elisabeth FramkeNational Research Centre for the Working Environment, Lerso Parkalle 105, DK-2100 Copenhagen, Denmark.
Jeppe Karl SørensenNational Research Centre for the Working Environment, Lerso Parkalle 105, DK-2100 Copenhagen, Denmark.
Per Kragh AndersenSection of Biostatistics, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, DK-1014 Copenhagen, Denmark.
Annemette Coop Svane-PetersenNational Research Centre for the Working Environment, Lerso Parkalle 105, DK-2100 Copenhagen, Denmark.
Kristina AlexandersonDivision of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Berzelius väg 3, SE-171 77 Stockholm, Sweden.
Jens Peter BondeDepartment of Occupational and Environmental Medicine, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23F, DK-2400 Copenhagen, Frederiksberg, Denmark.
Kristin FarrantsDivision of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Berzelius väg 3, SE-171 77 Stockholm, Sweden.
Esben Meulengracht FlachsDepartment of Occupational and Environmental Medicine, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23F, DK-2400 Copenhagen, Frederiksberg, Denmark.
Linda L Magnusson HansonStress Research Institute, Stockholm University, Frescati Hagväg 16A, SE-114 19 Stockholm, Sweden.
Solja T NybergDepartment of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Yliopistonkatu 3, 00014 University of Helsinki, Finland.
Ebbe VilladsenNational Research Centre for the Working Environment, Lerso Parkalle 105, DK-2100 Copenhagen, Denmark.
Mika KivimäkiDepartment of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Yliopistonkatu 3, 00014 University of Helsinki, Finland.
Reiner RuguliesNational Research Centre for the Working Environment, Lerso Parkalle 105, DK-2100 Copenhagen, Denmark.
Ida E H MadsenNational Research Centre for the Working Environment, Lerso Parkalle 105, DK-2100 Copenhagen, Denmark.
National Research Centre for the Working Environment · DKFrederiksberg Hospital · DKKarolinska Institutet · SEUniversity of Copenhagen · DKUniversity of Helsinki · FIStockholm University · SE

Funding

Medical Research Council MR/S011676/1
6 · The paper itself

Abstract

aimsWe examined the extent to which associations between education and cardiovascular disease (CVD) morbidity and mortality are attributable to income and work stress. METHODS AND

resultsWe 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.

conclusionLow 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.

Indexed as

Cardiovascular DiseasesAdultDenmarkEducational StatusFemaleHumansIncomeMaleMiddle AgedRisk FactorsCardiovascular diseaseCardiovascular mortalityMechanismsNationwide studySocial determinantsUniversal coverage

Identifiers

PMID31844881
PMCPMC7071845
OpenAlexW2995417141

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.