Evidence map›Paper›PMID 42417555›Full record

ArticleJournal of cachexia, sarcopenia and muscle2026

Metabolic Syndrome as a Determinant of Bidirectional Transitions Between Frailty States: Evidence From the Whitehall II Study.

Steve Kevin Njouonkep Sime, Bi Boli Anselme Stéphane Irié, Etienne Jules, Léopold Fezeu K, Estelle Pujos-Guillot, Blandine Comte

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Steve Kevin Njouonkep SimeUniversity Clermont Auvergne, INRAE, UNH, Platform of Metabolism Exploration, MetaboHUB Clermont, Saint-Genès Champanelle, France.ORCID https://orcid.org/0009-0000-0953-5042
Bi Boli Anselme Stéphane IriéUniversity Clermont Auvergne, INRAE, UNH, Platform of Metabolism Exploration, MetaboHUB Clermont, Saint-Genès Champanelle, France.
Etienne JulesUniversity Clermont Auvergne, INRAE, UNH, Platform of Metabolism Exploration, MetaboHUB Clermont, Saint-Genès Champanelle, France.ORCID https://orcid.org/0009-0009-9996-5147
Léopold Fezeu KSorbonne Paris Cité Epidemiology and Statistics Research Center (CRESS), Nutritional Epidemiology Research Team (EREN), Inserm U1153, INRAE U1125, Cnam, University of Paris, Bobigny, France.ORCID https://orcid.org/0000-0002-7589-3179
Estelle Pujos-GuillotUniversity Clermont Auvergne, INRAE, UNH, Platform of Metabolism Exploration, MetaboHUB Clermont, Saint-Genès Champanelle, France.ORCID https://orcid.org/0000-0002-4693-5712
Blandine ComteUniversity Clermont Auvergne, INRAE, UNH, Platform of Metabolism Exploration, MetaboHUB Clermont, Saint-Genès Champanelle, France.ORCID https://orcid.org/0000-0002-4662-6581

Funding

Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Socioeconomic gradient in CHD in early old ageR01HL036310 · NHLBI · UNIVERSITY OF LONDON · PI KIVIMAKI, MIKA J, MARMOT, MICHAEL G · 1986 to 2012
$3.1M
Clermont Auvergne MetropoleNHLBI NIH HHS R01 HL036310NIA NIH HHS R01 AG013196Platform of Metabolism Exploration (PFEM, INRAE)
6 · The paper itself

Abstract

backgroundUnderstanding interactions between geriatric syndromes is central for promoting healthy aging. Frailty is among the most relevant, as it predicts disability, falls, hospitalization and mortality. In addition, emerging evidence also indicates that metabolic factors play a key role in the frailty development. Among them, metabolic syndrome (MetS) has been examined because of shared metabolic, inflammatory and endocrine mechanisms. Previous studies reported that MetS and its components increase the risk of pre-frailty and frailty. However, the role of MetS in the dynamics of frailty trajectories, namely, transitions between frailty states, remains poorly understood. Using data from the Whitehall II cohort, we examined the influence of MetS and its components on bidirectional transitions between the frailty states.

methodsData from Phases 9, 11 and 12 of the Whitehall II cohort (n = 10 308) were analysed. MetS and its five components were defined at baseline according to the consensus definition. Frailty states were classified using Fried's phenotype: robust (0 criteria), pre-frailty 1 (PF-1; 1 criterion), pre-frailty 2 (PF-2; 2 criteria) and frailty (≥ 3 criteria). A multi-state Markov model with death as an absorbing competing state was used to estimate transition intensities and probabilities. Transition-specific hazard ratio (HR) for MetS and its components were adjusted for sociodemographic, lifestyle and health-related factors.

resultsA total of 4750 participants (mean age: 64.6 years; 73.9% men) were followed for an average of 6.9 years. At baseline, 58.8% were robust, 29.4% were PF-1, 9.2% were PF-2, and 2.5% were frail; 36.9% had MetS. Recovery transitions were more frequent than deteriorations: Among PF-1 individuals, recovery to robustness occurred at an intensity of 0.20 (95% CI: 0.18-0.22) versus 0.15 (0.14-0.17) for progression to PF-2. In PF-2, recovery to PF-1 was 0.30 (0.26-0.35), versus 0.15 (0.12-0.18) for progression to frailty. Overall, MetS was not significantly associated with transitions. However, abdominal obesity increased the hazard of transitioning from robustness to PF-1 by 27% (HR = 1.27; 1.09-1.48; p = 0.001) and reduced recovery from PF-2 to PF-1 by 28% (HR = 0.72; 0.52-0.99; p = 0.04) and from frailty to PF-2 by 50% (HR = 0.50; 0.29-0.87; p = 0.014). Hyperglycemia reduced recovery from PF-1 to robustness by 28% (HR: 0.72; 0.59-0.88; p < 0.001). Other components, including hypertension, high blood levels of triglycerides and low blood levels of HDL-cholesterol, showed no significant associations.

conclusionMetS overall was not significantly associated with frailty transitions. Nevertheless, abdominal obesity and hyperglycemia were linked to impaired recovery and accelerated progression toward frailty. Early intervention targeting these metabolic disturbances may support healthier aging trajectories.

Indexed as

FrailtyMetabolic SyndromeAgedAged, 80 and overFemaleFrail ElderlyHumansMaleagingbidirectional transitionsfrailtymetabolic syndromemulti‐state Markov modelolder adults

Identifiers

PMID42417555
PMCPMC13343728

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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.