Evidence map›Paper›PMID 42477430›Full record

ArticleScientific reports2026

Educational inequalities in disability among older adults: a trend analysis in 15 European countries (2002 to 2023).

Olaf von dem Knesebeck, Daniel Lüdecke

Abstract read
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.

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

2 authors.

Olaf von dem KnesebeckInstitute of Medical Sociology, University Medical Center Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. o.knesebeck@uke.de.
Daniel LüdeckeInstitute of Medical Sociology, University Medical Center Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to examine the magnitude and trends of educational inequalities in disability among older men and women (≥ 60 years) in 15 European countries. We used data of 11 waves of the European Social Survey (ESS, 2002 to 2023, N = 98,300). Disability was assessed by a variant of the Global Activity Limitation Indicator. In the latest wave of the ESS (2023), there was an educational gradient in the prevalence of disability in the 15 European countries. In terms of time trends among men, disability significantly declined in high education groups in ten countries while it increased among those with low education in three countries. Trends in prevalence were quite different among women. There was a significant decline among low as well as high education groups in five countries and prevalences were stable in eight countries. Overall, among men, there was a significant increase of inequalities in disability between low and high educational groups from 2002 to 2023, while this trend was not significant among women. The mechanisms behind these inequalities in disability are not yet fully understood. Future studies should investigate to what extent behavioural, psychosocial, and material factors contribute to their explanation. A better understanding of these explanatory factors is needed to develop and implement interventions for a reduction of inequalities in disability in aging societies.

Indexed as

Educational StatusPersons with DisabilitiesAgedAged, 80 and overEuropeFemaleHumansMaleMiddle AgedPrevalenceSocioeconomic Disparities in HealthSocioeconomic FactorsDisabilityEducationEuropeGenderInequalitiesTime trend

Identifiers

PMID42477430
PMCPMC13385872

What OpenQuestion 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 OpenQuestion graph.