Evidence map›Paper›PMID 41318365›Full record

ArticleBMC geriatrics2025

How physical activity influences motoric cognitive risk syndrome in older adults.

Xin Chen, Zihao Zhang, Yijiang Zhang, Lijuan Deng, Haihua Guo, Wen-Quan Zou, Dexin Wang

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Xin Chen *School of Athletic Performance, Shanghai University of Sport, Shanghai, 200438, China.
Zihao Zhang *Institute of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Jiangxi Academy of Clinical Medical Sciences, Nanchang University, Nanchang, Jiangxi Province, 330006, China.
Yijiang ZhangDepartment of Basic Instruction, Information Support Force Engineering University, Wuhan, 430030, China.
Lijuan DengDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Haihua GuoDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Wen-Quan ZouInstitute of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Jiangxi Academy of Clinical Medical Sciences, Nanchang University, Nanchang, Jiangxi Province, 330006, China.
Dexin WangSchool of Athletic Performance, Shanghai University of Sport, Shanghai, 200438, China. wangdexing@sus.edu.cn.

Funding

Jiangxi Key Laboratory of Neurological Diseases 2024SSY06072National Natural Science Foundation of China (NSFC) 82471499Shanghai Key Lab of Human Performance (Shanghai University of Sports) 11DZ2261100Shanghai Sports Science and Technology Project 25T001the Startup Package and Developmental Funds of the First Affiliated Hospital of Nanchang University 500021001;500021002
6 · The paper itself

Abstract

objectiveMotoric cognitive risk (MCR) is a pre-dementia syndrome linked to higher risks of cognitive decline and dementia. This study aims to investigate the relationship between total physical activity (TPA), healthy physical activity (PA), and MCR in older adults. STUDY

designPopulation-based cohort study with both cross-sectional and longitudinal analyses.

methodsLogistic regression was used for cross-sectional analyses to examine the associations between TPA, healthy PA, and MCR at baseline. Using mediation analysis to explore the associations of gait speed and cognition in the link between physical activity and MCR. Cox regression was applied for longitudinal analyses to evaluate the relationships between TPA, healthy PA, and incident MCR risk over a 5-year follow-up. Restricted cubic splines (RCS) were employed to investigate potential nonlinear associations between TPA and MCR risk. Sensitivity analyses were conducted across different age groups to confirm the robustness of the results.

resultsLogistic regression analysis revealed a significant negative association between TPA, healthy PA, and MCR. Participants engaging in healthy PA had a 36.9% lower risk of MCR (OR 0.631[0.502,0.793]). Mediation analysis showed that gait speed significantly mediated the association between PA and MCR. Cox regression further demonstrated that both TPA and healthy PA were significantly related to a lower risk of MCR. RCS analysis identified a nonlinear relationship between TPA and MCR risk, with the lowest risk observed at 86.1 METs. Sensitivity analyses across different age groups confirmed the robustness of these findings.

conclusionHigher levels of TPA and healthy PA are negatively associated with MCR, underscoring the importance of maintaining adequate PA in older adults.

Indexed as

CognitionCognitive DysfunctionExercisePopulation SurveillanceAgedAged, 80 and overCohort StudiesCross-Sectional StudiesFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsWalking SpeedDementiaGaitMotoric cognitive riskPhysical activity

Identifiers

PMID41318365
PMCPMC12771774

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.