Evidence map›Paper›PMID 32165451›Full record

ArticleHeart (British Cardiac Society)2020

Association of social relationships with incident cardiovascular events and all-cause mortality.

Janine Gronewold, Rene Kropp, Nils Lehmann, Börge Schmidt, Simone Weyers, Johanne Siegrist, Nico Dragano, Karl-Heinz Jöckel, Raimund Erbel, Dirk M Hermann and 1 more

Abstract read
In one paragraph

Article in Heart (British Cardiac Society), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Impact of Social Determinants of Health on Cardiovascular Disease.Journal of the American Heart Association · 2025
    Review
  16. Article
  17. COVID-19 and stroke in women: impact on clinical, psychosocial and research aspects.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Janine GronewoldDepartment of Neurology, University Hospital Essen, Essen, Germany.ORCID 0000-0002-1470-424X
Rene KroppDepartment of Neurology, University Hospital Essen, Essen, Germany.
Nils LehmannInstitute for Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany.
Börge SchmidtInstitute for Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany.
Simone WeyersInstitute for Medical Sociology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Johanne SiegristInstitute for Medical Sociology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Nico DraganoInstitute for Medical Sociology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Karl-Heinz JöckelInstitute for Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany.
Raimund ErbelInstitute for Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany.
Dirk M HermannDepartment of Neurology, University Hospital Essen, Essen, Germany dirk.hermann@uk-essen.de.
Heinz Nixdorf Recall Study Investigative Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine how different aspects of social relationships are associated with incident cardiovascular events and all-cause mortality.

methodsIn 4139 participants from the population-based Heinz Nixdorf Recall study without previous cardiovascular disease (mean (SD) age 59.1 (7.7) years, 46.7% men), the association of self-reported instrumental, emotional and financial support and social integration at baseline with incident fatal and non-fatal cardiovascular events and all-cause mortality during 13.4-year follow-up was assessed in five different multivariable Cox proportional hazards regression models: minimally adjusted model (adjusting for age, sex, social integration or social support, respectively); biological model (minimally adjusted+systolic blood pressure, low-density and high-density lipoprotein cholesterol, glycated haemoglobin, body mass index, antihypertensive medication, lipid-lowering medication and antidiabetic medication); health behaviour model (minimally adjusted+alcohol consumption, smoking and physical activity); socioeconomic model (minimally adjusted+income, education and employment); and depression model (minimally adjusted+depression, antidepressants and anxiolytics).

results339 cardiovascular events and 530 deaths occurred during follow-up. Lack of financial support was associated with an increased cardiovascular event risk (minimally adjusted HR=1.30(95% CI 1.01 to 1.67)). Lack of social integration (social isolation) was associated with increased mortality (minimally adjusted HR=1.47 (95% CI 1.09 to 1.97)). Effect estimates did not decrease to a relevant extent in any regression model.

conclusionsPerceiving a lack of financial support is associated with a higher cardiovascular event incidence, and being socially isolated is associated with increased all-cause mortality. Future studies should investigate how persons with deficient social relationships could benefit from targeted interventions.

Indexed as

Interpersonal RelationsSocial BehaviorSocial Determinants of HealthAgedCardiovascular DiseasesFemaleFinancial SupportGermanyHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedPrognosisRisk AssessmentSocial Integrationcardiac risk factors and preventionepidemiologystroke

Identifiers

PMID32165451
PMCPMC7476279

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.