Evidence map›Paper›PMID 42185834›Full record

ArticleBMC public health2026

Social capital and diabetes care: a cross-country analysis of prevalence, diagnosis and glycaemic control in 11 European countries using SHARE data.

Laura Ceurvels, Jorik Vergauwen, Edwin Wouters

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Laura CeurvelsDepartment of Sociology, University of Antwerp, Sint-Jacobstraat 2, Antwerp, 2000, Belgium. Laura.Ceurvels@uantwerpen.be.
Jorik VergauwenDepartment of Sociology, University of Antwerp, Sint-Jacobstraat 2, Antwerp, 2000, Belgium.
Edwin WoutersDepartment of Sociology, University of Antwerp, Sint-Jacobstraat 2, Antwerp, 2000, Belgium.

Funding

Enhancing the Comparability of SHARE with HRS and ELSAR01AG052527 · NIA · MAX PLANCK INST/SOCIAL LAW/SOCIAL POLICY · PI BOERSCH-SUPAN, AXEL H · 2016 to 2020
$2.1M
NIA NIH HHS HHSN271201300071CNIA NIH HHS R01 AG052527
6 · The paper itself

Abstract

backgroundDiabetes is a major health issue that is increasingly prevalent in Europe. Providing high-quality care is crucial, as failing to do so can lead to various complications. This study employed a cascade-of-care approach and data from 11 European countries to identify the points at which patients disengage from the diabetes care continuum, and explored the relationship with social capital variables, sociodemographic factors, and health indicators.

methodsUsing cross-country data from Wave 6 and its related dried blood spot sample of the Survey of Health, Ageing and Retirement in Europe, multilevel logistic regression models were constructed using a stepwise approach. The stages of the cascade of care were outcome variables: prevalence of diabetes, receiving a diabetes diagnosis, and achieving glycaemic control based on HbA1c levels.

resultsHigher levels of bridging social capital are associated with lower diabetes prevalence, partly mediated by sociodemographic factors and health indicators. Diabetes is more commonly diagnosed in older individuals (although this link weakens in the oldest age groups), men, and those in poorer health. Better HbA1c control is associated with having a partner in the household, lower BMI, and being a woman.

conclusionThis study highlights that social capital is associated with diabetes care among older adults in Europe. Bridging social capital can reduce prevalence, and having a partner can enhance diabetes control. Social capital also appears to be indirectly related to receiving a diagnosis. This reinforces the need for a combined medical and social approach to diabetes care.

Indexed as

Diabetes MellitusGlycemic ControlSocial CapitalAgedEuropeFemaleGlycated HemoglobinHumansMaleMiddle AgedPrevalenceSocioeconomic FactorsGlycated HemoglobinCascade of CareControlDiabetesDiagnosisPrevalenceSocial capital

Identifiers

PMID42185834
PMCPMC13647507

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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.