Evidence map›Paper›PMID 37203236›Full record

ArticleBrain and behavior2023

Association between motoric cognitive risk syndrome and future falls among Chinese community-dwelling elderly: A nationwide cohort study.

Wei-Wei Lu, Bang-Zhong Liu, Min-Zhi Lv, Jin-Kang Tu, Zi-Rui Kang, Rui-Ping Hu, Yu-Lian Zhu, Jian Zhang

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
8.0field-weighted citation impact, top 3% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

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  8. Salud publica de Mexico · 2023
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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

8 authors at 3 institutions in 1 country.

Wei-Wei LuDepartment of Rehabilitation Medicine, Shanghai Geriatric Medical Center, Shanghai, China.ORCID 0000-0002-3921-0326
Bang-Zhong LiuDepartment of Rehabilitation Medicine, Shanghai Geriatric Medical Center, Shanghai, China.
Min-Zhi LvDepartment of Medical Statistics, Zhongshan Hospital, Fudan University, Shanghai, China.
Jin-Kang TuDepartment of Rehabilitation Medicine, Shanghai Geriatric Medical Center, Shanghai, China.
Zi-Rui KangDepartment of Rehabilitation Medicine, Shanghai Geriatric Medical Center, Shanghai, China.
Rui-Ping HuDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Yu-Lian ZhuDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Jian ZhangDepartment of Rehabilitation Medicine, Shanghai Geriatric Medical Center, Shanghai, China.
Fudan University · CNShanghai Medical Information Center · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMotoric Cognitive Risk syndrome (MCR), known as the predementia stage, is characterized by both subjective cognitive complaint (SCC) and slow gait. This study aimed to investigate the causal relationship between MCR, its components, and falls.

methodsParticipants aged ≥ 60 years were selected from China Health and Retirement Longitudinal Study. SCC was determined by participants' responses to the question "How would you rate your memory at present?" with "poor" being the indicative answer. Slow gait was defined as one standard deviation or more below age- and gender-appropriate mean values of gait speed. MCR was identified when both SCC and slow gait were presented. Future falls were investigated by the question "have you fallen down during follow-up until wave 4 in 2018?" Logistic regression analysis was performed to test the longitudinal association of MCR, its components and future falls during the following 3 years.

resultsOf 3748 samples in this study, the prevalence of MCR, SCC, and slow gait was 5.92%, 33.06%, and 15.21%, respectively. MCR increased the risk of falls during the following 3 years by 66.7% compared to non-MCR after controlling for covariates. In the fully adjusted models, with the healthy group as reference, MCR (OR = 1.519, 95%CI = 1.086-2.126) and SCC (OR = 1.241, 95%CI = 1.018-1.513), but not slow gait, increased the risk of future falls.

conclusionsMCR independently predicts future falls risk in the following 3 years. Measuring MCR can be a pragmatic tool for early identification of falls risk.

Indexed as

Accidental FallsCognition DisordersCognitive DysfunctionAgedCognitionCohort StudiesEast Asian PeopleGaitHumansIndependent LivingLongitudinal StudiesRisk Factorselderlyfallsmemorywalking speed

Identifiers

PMID37203236
PMCPMC10338852
OpenAlexW4377094278

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.