Evidence map›Paper›PMID 42607277›Full record

ArticleAge and ageing2026

Comparing frailty index distribution, mortality and frailty dynamics across multiple countries: applying the 'zero-state' principle to harmonised ageing data.

Saskia Drijver-Headley, Judith Godin, Kenneth Rockwood, Peter Hanlon

Abstract readComparative Study
In one paragraph

Article in Age and ageing, 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Saskia Drijver-HeadleySchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom of Great Britain and Northern Ireland.
Judith GodinDivision of Geriatric Medicine, Dalhousie University, Halifax, Canada.
Kenneth RockwoodDivision of Geriatric Medicine, Dalhousie University, Halifax, Canada.
Peter HanlonSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom of Great Britain and Northern Ireland.ORCID 0000-0002-5828-3934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFrailty is a dynamic state linked to disability, hospitalisation and mortality. Cross-country comparisons of frailty progression remain limited. We compared frailty distribution, mortality risk and deficit accumulation across 17 middle-/high-income countries. We then examined whether outcomes among individuals with minimal baseline deficits ('zero-state') reflect broader population health patterns to explore utility of the 'zero-state' as a marker of population health.

methodsData were from five harmonised longitudinal ageing surveys (Health and Retirement Survey, Survey of Health, Ageing and Retirement in Europe, English Longitudinal Study of Ageing, Chinese Health and Retirement Longitudinal Survey, Mexican Health and Ageing Study). A 31-item frailty index (FI) was constructed using identical variables at baseline, 2- and 4-year follow-up. Participants with <2 deficits were classified as in 'zero-state'. Outcomes: all-cause mortality and FI change among survivors. Logistic regression (mortality) and negative binomial models (deficit accumulation) were adjusted for age, sex and baseline FI. Analyses were stratified by zero-state and non-zero-state.

resultsBaseline frailty varied between countries: highest in the USA, Mexico and Southern/Eastern European nations, and lowest in Northern/Central Europe. Mortality and deficit accumulation differed substantially. Mexico showed highest mortality and fastest accumulation, while Switzerland and Scandinavian countries showed the lowest. Zero-state analyses revealed larger between-country differences, but lower statistical power, than analyses of those with higher FI. Some countries (e.g. USA, UK) showed favourable zero-state outcomes but more rapid progression among individuals with higher baseline FI.

conclusionFrailty distribution, mortality and frailty progression vary widely across settings, with poorer outcomes in lower-income countries. Zero-state trajectories capture important population differences but do not fully reflect patterns among those with existing frailty, potentially reflecting within-country inequalities.

Indexed as

AgingFrail ElderlyFrailtyGeriatric AssessmentAgedAged, 80 and overAge FactorsEuropeFemaleHealth SurveysHumansLongitudinal StudiesMaleMexicoMiddle AgedMortalityageing trajectoriesfrailtyinternational comparisonsmortalityolder people

Identifiers

PMID42607277
PMCPMC13480471

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