Evidence map›Paper›PMID 38802730›Full record

ArticleBMC geriatrics2024

The relationship and pathways between resting-state EEG, physical function, and cognitive function in older adults.

Hairong Liu, Jing Wang, Xin Xin, Peng Wang, Wanting Jiang, Tao Meng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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.

Hairong Liu *Physical Education Department of Shanghai International Studies University, Shanghai, China.
Jing Wang *School of Sports and Health of Shanghai Lixin University of Accounting and Finance Shanghai, Shanghai, 201620, China.
Xin XinShanghai University of Sport, Shanghai, China.
Peng WangShanghai University of Sport, Shanghai, China.
Wanting JiangShanghai University of Sport, Shanghai, China.
Tao MengSchool of Sports and Health of Shanghai Lixin University of Accounting and Finance Shanghai, Shanghai, 201620, China. 20029305@lixin.edu.cn.

Funding

National Social Science Foundation of China funded project 22BTY076
6 · The paper itself

Abstract

objectiveBased on resting-state electroencephalography (EEG) evidence, this study aimed to explore the relationship and pathways between EEG-mediated physical function and cognitive function in older adults with cognitive impairment.

methodsA total of 140 older adults with cognitive impairment were recruited, and data on their physical function, cognitive function, and EEG were collected. Pearson correlation analysis, one-way analysis of variance, linear regression analysis, and structural equation modeling analysis were conducted to explore the relationships and pathways among variables.

resultsFP1 theta (effect size = 0.136, 95% CI: 0.025-0.251) and T4 alpha2 (effect size = 0.140, 95% CI: 0.057-0.249) were found to significantly mediate the relationship. The direct effect (effect size = 0.866, 95% CI: 0.574-1.158) and total effect (effect size = 1.142, 95% CI: 0.848-1.435) of SPPB on MoCA were both significant.

conclusionHigher physical function scores in older adults with cognitive impairment were associated with higher cognitive function scores. Left frontal theta and right temporal alpha2, as key observed indicators, may mediate the relationship between physical function and cognitive function. It is suggested to implement personalized exercise interventions based on the specific physical function of older adults, which may delay the occurrence and progression of cognitive impairment in older adults with cognitive impairment.

Indexed as

CognitionCognitive DysfunctionElectroencephalographyAgedAged, 80 and overFemaleHumansMaleRestCognitive functionCognitive impairmentElectroencephalography (EEG)Older adultsPhysical function

Identifiers

PMID38802730
PMCPMC11129501

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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.