Evidence map›Paper›PMID 42401083›Full record

ArticleThe journal of nutrition, health & aging2026

Sensor-derived multidimensional gait domains mediate the association between intrinsic capacity impairment and fall risk in community-dwelling older adults: a cross-sectional study.

Siyu Chen, Ji Shen, Yuting Kang, Yushan Zhang, Hong Shi, Chi Zhang, Jie Zhang

Abstract read
In one paragraph

Article in The journal of nutrition, health & aging, 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

What it found

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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

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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

7 authors.

Siyu ChenDepartment of Health Care, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China.
Ji ShenDepartment of Geriatrics, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China.
Yuting KangDepartment of Science Research, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China.
Yushan ZhangDepartment of Geriatrics, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China.
Hong ShiDepartment of Geriatrics, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China.
Chi ZhangDepartment of Basic Innovation Research, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Beijing Key Laboratory of Aging Mechanism and Intervention Research on Aging-Related Diseases, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, P.R. China. Electronic address: zhangchi4616@bjhmoh.cn.
Jie ZhangDepartment of Geriatrics, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, P.R. China. Electronic address: zhj_0724@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are a leading cause of injury and functional decline in older adults. Intrinsic capacity (IC) impairment has emerged as an important predictor of fall risk, yet the biomechanical pathways linking IC decline to falls remain uncharacterized. Whether sensor-derived multidimensional gait domains serve as domain-specific indirect pathways in the IC-fall association has not been examined.

methodsIn this cross-sectional study of 813 community-dwelling adults (aged ≥60 years), IC impairment and a 12-month self-reported fall history were assessed. Gait was quantified using a wearable multi-sensor system, with nine parameters summarized into three domains: pace, gait phase, and kinetics. Logistic regression-based mediation analysis was used to test the indirect effects of gait domains on the association between IC and falls.

resultsHigher IC impairment was independently associated with greater odds of falling after full adjustment (OR = 1.36, 95% CI: 1.11-1.66). Among gait domains, pace (OR = 0.75, 95% CI: 0.56-0.99) and kinetics (OR = 0.76, 95% CI: 0.59-0.99) were independently associated with lower fall odds, whereas gait phase was not. Mediation analyses indicated that pace and kinetics partially mediated the IC-fall association, accounting for 18.76% and 10.64% of the total effect respectively, with gait phase showing no significant indirect effect.

conclusionsThese exploratory findings suggest that multidimensional gait assessment may complement IC screening to improve fall risk stratification and identify domain-specific intervention targets in older adults.

Indexed as

FallsIntrinsic capacityMediation analysisMultidimensional gait assessmentWearable sensors

Identifiers

PMID42401083
PMCPMC13348047

What Socratic holds

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LicenceCC BY-NC-ND
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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.