Evidence map›Paper›PMID 40906260›Full record

ArticleAging clinical and experimental research2025

Cognitive frailty and cardiometabolic risk in middle-aged and older adults: evidence from the UK and China.

Haiyang Yan, Jingjing Lang, Chengfeng Li, Samaneh Eftekhariranjbar, Guoyan Jiang, Jing Lei, Lixin Sun, Carlos J Toro-Huamanchumo, Zhongyang Guan

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Haiyang Yan *Yancheng Municipal Center for Disease Control and Prevention, Yancheng, Jiangsu, China.
Jingjing Lang *Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Chengfeng LiNutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Western Australia, Australia.
Samaneh EftekhariranjbarUniversity "G. D'Annunzio" of Chieti-Pescara, Chieti, Italy.
Guoyan JiangYancheng Municipal Center for Disease Control and Prevention, Yancheng, Jiangsu, China.
Jing LeiCurtin Medical School, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia.
Lixin SunCenter for Health Policy and Development Research, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China.
Carlos J Toro-HuamanchumoNutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Western Australia, Australia.
Zhongyang GuanSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia. zhongyang.guan@postgrad.curtin.edu.au.ORCID http://orcid.org/0000-0003-0737-3929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive frailty, a novel construct integrating cognitive and physical deficits, is increasingly recognized in aging research.

aimsThis study aimed to examine the associations between cognitive frailty and cardiometabolic risk in two nationally representative cohorts from China and the United Kingdom.

methodsWe analyzed data from 7,628 participants in the China Health and Retirement Longitudinal Study (CHARLS) and 4,703 participants from the English Longitudinal Study of Ageing (ELSA), all aged ≥ 50 years. Frailty was assessed using the frailty index (FI) in the main analysis. Cox proportional hazards models were applied to estimate hazard ratios (HRs) for incident cardiometabolic diseases (CMDs), cardiovascular diseases (CVDs), and diabetes. Subgroup and interaction analyses were performed to examine effect modification. Restricted cubic spline (RCS) models were used to assess the shape of the association between FI and cardiometabolic risk. Sensitivity analyses employed competing risk models and the physical frailty phenotype (PFP) as an alternative frailty measure.

resultsCognitive frailty was associated with higher risks of CMDs (HR 1.58, 95% CI 1.39-1.79), CVDs (HR 1.64, 95% CI 1.42-1.89), and diabetes (HR 1.39, 95% CI 1.11-1.75). Cognitive impairment alone showed no significant association with these outcomes in the main analysis. Dose-response associations were significant between the FI and CMDs and CVDs among individuals with and without cognitive impairment. Results were consistent across cohorts and robust in sensitivity analyses.

conclusionsCognitive frailty is a consistent predictor of cardiometabolic risk across distinct populations, supporting integrated screening and prevention strategies targeting both cognitive and physical deficits in aging populations.

Indexed as

Cardiovascular DiseasesCognitive DysfunctionFrailtyAgedAged, 80 and overChinaDiabetes MellitusFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsUnited KingdomCardiometabolic diseaseCognitive frailtyCognitive impairmentFrailty

Identifiers

PMID40906260
PMCPMC12411595

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.