Evidence map›Paper›PMID 42570190›Full record

ArticleGeroScience2026

Frailty before disease onset: risk of mortality and chronic conditions in disease-free middle-aged adults.

Paula Stürmer, Gabriella C Silva, Aurore Fayosse, Séverine Sabia, Archana Singh-Manoux, Wolfgang Lieb, Benjamin Landré

Abstract read
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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

7 authors.

Paula StürmerInstitute of Epidemiology, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany. paula.stuermer@epi.uni-kiel.de.ORCID http://orcid.org/0009-0008-3305-5629
Gabriella C SilvaInserm U1153, INRAE, Centre for Research in Epidemiology and Statistics (CRESS), Epidemiology of Ageing and Neurodegenerative Diseases (EpiAgeing), Université Paris Cité and Université Sorbonne Paris Nord, Paris, France.
Aurore FayosseInserm U1153, INRAE, Centre for Research in Epidemiology and Statistics (CRESS), Epidemiology of Ageing and Neurodegenerative Diseases (EpiAgeing), Université Paris Cité and Université Sorbonne Paris Nord, Paris, France.
Séverine SabiaInserm U1153, INRAE, Centre for Research in Epidemiology and Statistics (CRESS), Epidemiology of Ageing and Neurodegenerative Diseases (EpiAgeing), Université Paris Cité and Université Sorbonne Paris Nord, Paris, France.
Archana Singh-ManouxInserm U1153, INRAE, Centre for Research in Epidemiology and Statistics (CRESS), Epidemiology of Ageing and Neurodegenerative Diseases (EpiAgeing), Université Paris Cité and Université Sorbonne Paris Nord, Paris, France.
Wolfgang LiebInstitute of Epidemiology, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany.
Benjamin LandréInserm U1153, INRAE, Centre for Research in Epidemiology and Statistics (CRESS), Epidemiology of Ageing and Neurodegenerative Diseases (EpiAgeing), Université Paris Cité and Université Sorbonne Paris Nord, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty, defined by multisystem physiological decline and heightened vulnerability to stressors, is typically associated with aging and chronic disease. However, its relevance in apparently healthy individuals remains poorly understood. Identifying frailty in this population could inform primary prevention, as these individuals often remain outside healthcare systems. We investigated the association between frailty and incident chronic conditions and mortality in middle-aged adults free of chronic disease at baseline. Using UK Biobank data, we included 183,783 participants (53.6% female; median age 54 years) without chronic conditions. Frailty was assessed via the Fried frailty phenotype. Cox regression and multi-state models, adjusted for sociodemographic and lifestyle factors, analyzed associations with all-cause and cause-specific mortality, and with overall and organ system-specific incident chronic conditions. At baseline, 1.4% of participants were frail and 34.7% prefrail. Over a median follow-up of 13.8 years, mortality was 9.1% in frail versus 4.1% in robust (non-frail, fit) individuals, and 60.5% versus 48.2% developed at least one chronic condition. Frailty was associated with higher hazards of all-cause mortality (HR 1.92, 95% CI 1.68-2.20) and incident chronic conditions (HR 1.34, 95% CI 1.27-1.41), as well as increased risk of death following disease onset. Associations persisted after excluding events within 10 years of follow-up and were observed across multiple disease categories, including circulatory diseases, independent of key biological risk markers. Similar patterns were noted for prefrailty. Frailty identifies a subgroup of apparently healthy middle-aged adults at increased long-term risk of mortality and chronic disease, suggesting its potential as an early, actionable marker for prevention strategies.

Indexed as

FrailtyIncident chronic conditionsMiddle-aged populationMortalityUK Biobank

Identifiers

What Socratic holds

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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.