Evidence map›Paper›PMID 40442586›Full record

ArticleBMC geriatrics2025

Association of motoric cognitive risk syndrome with falls in older adults: findings from three longitudinal studies.

Jiachen Li, Dahang Yang, Qifei He, Qianting Wu, Weichao Sun, Wei Sun

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 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

6 authors.

Jiachen Li *Department of Orthopedics, Shenzhen Second People's Hospital/First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, 518035, China.
Dahang Yang *Department of Orthopedics, Shenzhen Second People's Hospital/First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, 518035, China.
Qifei HeDepartment of Orthopedics, Shenzhen Second People's Hospital/First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, 518035, China.
Qianting WuDepartment of Otorhinolaryngology Head and Neck Surgery, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy, Shenzhen University, Shenzhen, Guangdong, 518035, China.
Weichao SunDepartment of Orthopedics, Shenzhen Second People's Hospital/First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, 518035, China. weichaosunshine@163.com.
Wei SunDepartment of Orthopedics, Shenzhen Second People's Hospital/First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, 518035, China. 414464705@qq.com.

Funding

Shenzhen Medical Research Fund No.A2403030Shenzhen Science and Technology Innovation Commission Sustainable Development special project No.KCXFZ20230731093059012Shenzhen Second People's Hospital Clinical Research Fund of Shenzhen High-level Hospital Construction Project No.20243357007
6 · The paper itself

Abstract

backgroundFalls pose a significant threat to older adults' health, affecting one-third of individuals aged over 65 annually and resulting in severe injuries despite numerous screening tools. While motoric cognitive risk syndrome (MCR) is established as a dementia risk factor, its utility as a fall prediction tool remains unclear due to inconsistent findings across populations. This study therefore aims to elucidate the associations between motoric cognitive risk syndrome and falls among older adults.

methodsParticipants aged ≥ 60 years were selected from the English Longitudinal Study of Aging (ELSA), the Health and Retirement Study (HRS), and the China Health and Retirement Longitudinal Study (CHARLS). Subjective cognitive complaints (SCC) were assessed based on participants' responses to standardized questionnaire items. Slow gait was defined as a gait speed of more than one standard deviation below the age- and gender-specific mean values. MCR was diagnosed when both SCC and slow gait were present. Outcomes for investigation included falls, multiple falls, and fall-related injuries. Logistic regression analysis was conducted to examine the longitudinal association between MCR, its components, and the occurrence of falls over the following four years.

resultsUltimately, 10,373 participants were included in the analysis. After adjusting for covariates, MCR was associated with an increased risk of falls over the next four years, with relative increases of 60.0%, 50.5%, and 34.1% observed in the ELSA, HRS, and CHARLS cohorts, respectively. MCR was also linked to an elevated risk of multiple falls, although no significant association was found with fall-related injuries.In the fully adjusted models, slow gait alone did not show an independent association across all cohorts. Only MCR emerged as a significant and stable predictor of future falls, while further research is needed to clarify the role of SCC.

conclusionsThis large-scale prospective study found that MCR significantly predicts falls in older adults, highlighting its potential as a clinically useful screening tool integrating cognitive and motor parameters for improved fall risk identification.

Indexed as

Accidental FallsCognitive DysfunctionAgedAged, 80 and overChinaFemaleGaitHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsCognitive dysfunction2Fall risk3Gait speed5Motoric cognitive risk syndrome1Subjective cognitive complaint4

Identifiers

PMID40442586
PMCPMC12121193

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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.