Evidence map›Paper›PMID 42215567›Full record

ArticleScientific reports2026

National and subnational analysis of self-reported diabetes mellitus and health inequalities in Europe.

Carlos Alexandre Soares Andrade, Nour Mahrouseh, Nóra Kovács, Sarah Cuschieri, José Chen-Xu, Orsolya Varga

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In one paragraph

Article in Scientific reports, 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

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

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Carlos Alexandre Soares Andrade *Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Nour Mahrouseh *Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Nóra KovácsDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Sarah CuschieriFaculty of Medicine and Surgery, University of Malta, Msida, Malta.
José Chen-XuNOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, REAL, CCAL, NOVA University Lisbon, Lisbon, Portugal.
Orsolya VargaDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. varga.orsolya@med.unideb.hu.

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

Diabetes mellitus (DM) has been a major public health concern with increased epidemiologic and economic burden in Europe. We aimed to estimate self-reported national and subnational DM prevalence and inequalities in individuals aged 50 years and over in 13 European countries between 2010 and 2019. Microdata were extracted from waves 4 (2010/2011), 5 (2013), 6 (2015), 7 (2017/2018) and 8 (2019) of the Survey of Health, Ageing and Retirement in Europe (SHARE) database. The analysis was conducted at both national and subnational levels, comprising 13 European countries. Health inequalities were assessed using the gini coefficient (GC) and concentration index (CI). Socioeconomic risk factors were included in the inequality analysis (urbanization, income, and educational level) in addition to multilevel regression model. The prevalence of DM decreased from 11% in wave 4 to 10.6% in wave 8, with the lowest recorded in Switzerland at 5.9% in wave 5 and the highest observed in Czechia at 16.7% in wave 8. DM prevalence varied widely subnationally, ranging from 2.1% in wave 8 Zentralschweiz (Switzerland) to 28.5% in wave 8 in Střední Čechy in Czechia. The GC demonstrated an increase from 21.9% (95% CI 17.0, 24.5) in wave 4 to 22.5% (95% CI 19.4,25.2) in wave 8, with Switzerland exhibiting the highest coefficient in wave 8 [30.1% (95% CI 7.9, 41.7)]. The CIs for income and educational level at national level were consistently low and mostly negative. The education and income CI ranged from [- 0.0182 (95% CI - 0.0242, - 0.0122) to - 0.0010 (95% CI - 0.0021, - 0.0001)] and [- 0.0278 (95% CI - 0.0411, -0.0166) to - 0.0018 (95% CI - 0.0032, - 0.0005)] across waves 4 and 8, respectively. The CI for urbanization displayed both negative and positive values, but most were not statistically significant (p > 0.05). Inequalities exist in the self-reported prevalence of DM both nationally and subnationally, with elevated rates observed among individuals with lower educational and income levels. Addressing these significant health inequalities calls for the development of prevention programs and policies by the European countries and subnational regions, specifically tailored to prioritize and support vulnerable groups.

Indexed as

Diabetes MellitusHealth Status DisparitiesSelf ReportAgedEuropeFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsDiabetes mellitusEuropeHealth inequalityPrevalence

Identifiers

PMID42215567
PMCPMC13388658

What Socratic holds

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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 Socratic graph.