Evidence map›Paper›PMID 40346600›Full record

ArticleBMC medicine2025

Frailty-free life expectancy and its association with socio-economic characteristics: an analysis of the English Longitudinal Study of Ageing cohort study.

David R Sinclair, Asri Maharani, Andrew Kingston, Terence W O'Neill, Fiona E Matthews

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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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

5 authors.

David R SinclairNational Institute for Health and Care Research (NIHR) Policy Research Unit in Healthy Ageing, Newcastle University, Newcastle upon Tyne, UK. david.r.sinclair@newcastle.ac.uk.
Asri MaharaniDivision of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Andrew KingstonNational Institute for Health and Care Research (NIHR) Policy Research Unit in Healthy Ageing, Newcastle University, Newcastle upon Tyne, UK.
Terence W O'NeillNational Institute for Health and Care Research (NIHR) Policy Research Unit in Healthy Ageing, The University of Manchester, Manchester, UK.
Fiona E MatthewsNational Institute for Health and Care Research (NIHR) Policy Research Unit in Healthy Ageing, Newcastle University, Newcastle upon Tyne, UK.

Funding

National Institute for Health and Care Research PR-PRU-1217-2150
6 · The paper itself

Abstract

backgroundFrailty is more prevalent in socio-economically disadvantaged groups; however, little is known about how this translates to differences in the number of years people live with and without frailty. We investigate differences in frailty-free and frail life expectancies among population groups stratified by wealth, area deprivation, education and marital status.

methodsThe English Longitudinal Study of Ageing cohort study was used to follow the frailty trajectories of 15,003 individuals over 18 years. A multi-state model assessed the risk of transitioning between frailty states and death based on socio-economic characteristics. These risks were translated into state-specific life expectancies.

resultsWealth had the strongest association with frailty-free and frail life expectancies. Increased wealth, reduced deprivation, higher educational attainment and marriage all correlate with increased frailty-free life expectancies and reduced frail life expectancies. At age 50, the wealthiest population quintile can expect to live 11.1 [10.1-12.1] years (women) and 9.8 [8.8-10.8] years (men) longer frailty-free than the poorest population quintile. The wealthiest quintile live less than half the number of years with frailty than the poorest quintile. There is no difference in frailty-free life expectancy between the poorest men and women; however, the wealthiest women have longer frailty-free life expectancies than the wealthiest men.

conclusionsLarge inequalities in frailty-free and frail life expectancies exist across socio-economic groups, with wealth and area deprivation the most important socio-economic determinants. Narrowing these inequalities may extend frailty-free life expectancies more for women than men, suggesting strategies to reduce disparities should consider both socio-economic factors and gender. Care policies should account for the geographical clustering of socio-economically disadvantaged populations. Reducing socio-economic inequalities could increase frailty-free life expectancies and reduce health and social care costs.

Indexed as

AgingFrailtyLife ExpectancyAgedAged, 80 and overCohort StudiesEnglandFemaleHumansLongitudinal StudiesMaleMiddle AgedSocioeconomic FactorsDeprivationEducationELSAFrailInequalitiesMarital statusPre-frailWealth

Identifiers

PMID40346600
PMCPMC12065162

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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.