Evidence map›Paper›PMID 41840571›Full record

ArticleBMC geriatrics2026

Associations of frailty and cognitive impairment with fall risk in older adults: a longitudinal cohort study based on CHARLS.

Kai Zhou, Boyuan Shi, Fangye Shi, Lei Chen, Jiandong Yuan, Zhiqiang Xue

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Article in BMC geriatrics, 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

6 authors.

Kai ZhouDepartment of Trauma, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325035, China.
Boyuan ShiThe First Clinical School, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China.
Fangye ShiAlumni Office, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China.
Lei ChenDepartment of Trauma, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325035, China.
Jiandong YuanDepartment of Trauma, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325035, China.
Zhiqiang XueDepartment of Trauma, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325035, China. xuezhiqiang1992@163.com.

Funding

Science and Technology Plan Project of Wenzhou Municipality Y20220210
6 · The paper itself

Abstract

backgroundFalls are one of the leading causes of disability and mortality in older adults. Frailty and cognitive impairment are recognized as key risk factors, but their joint impact on fall risk and the underlying association remain unclear.

methodsThis study utilized data from the China Health and Retirement Longitudinal Study, with a 7-year follow-up period (2011–2018). The study included 6,274 participants aged ≥ 60 years. Follow-up surveys were conducted at approximately 2-year intervals to assess the incidence of falls.Frailty was assessed using a modified physical frailty phenotype, and cognitive function was measured with standardized memory and executive function tests. Logistic regression, moderation, and mediation models were applied to examine the independent and interactive effects of frailty and cognitive impairment on falls, with multivariable adjustment for demographic, behavioral, and clinical factors.

resultsDuring the 7-year follow-up, 19.4% of participants reported at least one fall. Frailty was independently associated with increased fall risk (OR 2.06, 95% CI 1.35–3.12), as was cognitive impairment (OR 1.48, 95% CI 1.27–1.71). Moderation analysis showed a significant interaction, indicating that cognitive impairment amplified the association between frailty and falls (P for interaction < 0.001). Mediation analysis further revealed that cognitive impairment partially mediated the frailty–falls association, accounting for 49.4% of the total effect. These associations were consistent across demographic subgroups and robust to sensitivity analyses.

conclusionThis study provides longitudinal evidence that frailty and cognitive impairment synergistically increase the risk of falls in older adults through both moderation and mediation pathways. In this longitudinal cohort of older Chinese adults, our findings suggest that frailty and cognitive impairment may jointly increase fall risk, with evidence of both statistical moderation and mediation. These findings highlight the importance of jointly assessing frailty and cognition in fall prevention and suggest that targeted interventions in cognitively frail populations may yield greater benefits.

Indexed as

Accidental FallsCognitive DysfunctionFrail ElderlyFrailtyAgedAged, 80 and overChinaCohort StudiesFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsCognitive impairmentFallsFrailtyLongitudinal cohortMediation analysisOlder adults, Interaction effect

Identifiers

PMID41840571
PMCPMC13104237

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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.