Evidence map›Paper›PMID 42053909›Full record

ArticleGeroScience2026

Unequal healthy ageing trajectories across Europe: socioeconomic development and age-related disease burden in the European Union and South-Eastern European countries.

Nora Kovacs, Peter Piko, David Major, Vince Fazekas-Pongor, Zoltan Ungvari, Roza Adany

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Nora KovacsDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Peter PikoDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
David MajorInstitute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
Vince Fazekas-PongorInstitute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
Zoltan UngvariDoctoral College, Health Sciences Program/Institute of Preventive Medicine and Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary.
Roza AdanyDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. adany.roza@med.unideb.hu.

Funding

Hungarian Research Network - HUN-REN TKCS-2021/32Magyar Tudományos Akadémia BO/00513/23/5National Research, Development and Innovation Office RRF-2.3.1-21-2022-00003National Research, Development and Innovation Office RRF-2.3.1-21-2022-00006Nemzeti Kutatási, Fejlesztési és Innovaciós Alap TKP2021-NKTA-47
6 · The paper itself

Abstract

Although life expectancy has increased, many of the added years are lived in poor health, highlighting growing inequalities in ageing trajectories. Despite the increasing need for ageing-related health strategies, non-EU European countries remain underrepresented in comparative research, leaving limited evidence on healthy ageing disparities between EU and South-Eastern European (SEE) nations. This study explored variations in key health and socioeconomic indicators of societal ageing and age-related disease burden among individuals aged 70 and older across European countries, with a focus on EU and non-EU SEE nations. Data for 33 European countries were extracted from Global Burden of Disease 2021 study. Indicators included mortality, years lived with disability (YLD), healthy life expectancy (HALE), current health expenditure (HE), and Human Development Index (HDI). Hierarchical cluster analysis was used to classify EU countries, and SEE countries were analysed separately. Trends in mortality, YLD rates, and HALE were analysed using Joinpoint regression. Spearman's rank correlation was used to assess relationships between health, socioeconomic factors, and disease burden. Western and Northern European countries showed the most favourable values for indicators, while SEE countries exhibited the highest all-cause and cardiovascular mortality and the lowest HALE and HDI values. Across all countries, strong negative correlations were observed between HE, HDI, HALE, and total mortality (r = -0.81, -0.82, and -0.92, p < 0.001; respectively). Regionally adjusted and coordinated policies are needed to reduce inequalities and promote healthy ageing across Europe. Such strategic integration is essential to narrowing the gaps in ageing trajectories and socioeconomic development between EU and SEE countries.

Indexed as

Cost of IllnessHealth Status DisparitiesHealthy AgingAgedAged, 80 and overEuropeEuropean PeopleEuropean UnionFemaleHealth ExpendituresHumansLife ExpectancyMaleSocioeconomic Disparities in HealthSocioeconomic FactorsClustersDisease burdenHealthy ageingSocioeconomic developmentWHO European Region

Identifiers

PMID42053909
PMCPMC13356215

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.