Evidence map›Paper›PMID 36673844›Full record

SynthesisInternational journal of environmental research and public health2023

The Effects of Exercise for Cognitive Function in Older Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Liya Xu, Hongyi Gu, Xiaowan Cai, Yimin Zhang, Xiao Hou, Jingjing Yu, Tingting Sun

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06948149 (Examining the Effects of Creatine Supplementation and Resistance Training on Cognition and Brain Health in Older Adults With Mild Cognitive Impairment), which is not on this map. Cited by 79 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 6 pooled it
28.7field-weighted citation impact, top 1% 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.

NCT06948149 narecruitingnot on this mapstarted 2026, after this paper: background citation

Examining the Effects of Creatine Supplementation and Resistance Training on Cognition and Brain Health in Older Adults With Mild Cognitive Impairment: a 26 Week Randomized Controlled Trial

TypeinterventionalSponsorWestern University, CanadaRan2026 to 2027Enrolled140ConditionsCreatine, Exercise, Mild Cognitive Impairment (MCI)ArmsCreatine monohydrate, Resistance training
3 · Its place in the literature

Who cites it

79 citing papers in PubMed, 6 syntheses or guidelines pooled it, 129 citations in OpenAlex.

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19 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Liya XuFaculty of Sports and Human Sciences, Beijing Sports University, Beijing 100084, China.ORCID 0000-0001-5337-1735
Hongyi GuFaculty of Sports and Human Sciences, Beijing Sports University, Beijing 100084, China.
Xiaowan CaiFaculty of Sports and Human Sciences, Beijing Sports University, Beijing 100084, China.
Yimin ZhangKey Laboratory of Sports and Physical Health, Ministry of Education, Beijing 100084, China.
Xiao HouFaculty of Sports and Human Sciences, Beijing Sports University, Beijing 100084, China.ORCID 0000-0002-9198-4468
Jingjing YuKey Laboratory of Sports and Physical Health, Ministry of Education, Beijing 100084, China.
Tingting SunKey Laboratory of Sports and Physical Health, Ministry of Education, Beijing 100084, China.
Capital University of Physical Education and Sports · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical exercise can slow down the decline of the cognitive function of the older adults, yet the review evidence is not conclusive. The purpose of this study was to compare the effects of aerobic and resistance training on cognitive ability.

methodsA computerized literature search was carried out using PubMed, Cochrane Library, Embase SCOPUS, Web of Science, CNKI (China National Knowledge Infrastructure), Wanfang, and VIP database to identify relevant articles from inception through to 1 October 2022. Based on a preliminary search of the database and the references cited, 10,338 records were identified. For the measured values of the research results, the standardized mean difference (SMD) and 95% confidence interval (CI) were used to synthesize the effect size.

resultsFinally, 10 studies were included in this meta-analysis. Since the outcome indicators of each literature are different in evaluating the old cognitive ability, a subgroup analysis was performed on the included literature. The study of results suggests that aerobic or resistance training interventions significantly improved cognitive ability in older adults compared with control interventions with the Mini-Mental State Examination (MD 2.76; 95% CI 2.52 to 3.00), the Montreal Cognitive Assessment (MD 2.64; 95% CI 2.33 to 2.94), the Wechsler Adult Intelligence Scale (MD 2.86; 95% CI 2.25 to 3.47), the Wechsler Memory Scale (MD 9.33; 95% CI 7.12 to 11.54), the Wisconsin Card Sorting Test (MD 5.31; 95% CI 1.20 to 9.43), the Trail Making Tests (MD -8.94; 95% CI -9.81 to -8.07), and the Stroop Color and Word Test (MD -5.20; 95% CI -7.89 to -2.51).

conclusionPhysical exercise improved the cognitive function of the older adults in all mental states. To improve cognitive ability, this meta-analysis recommended that patients perform at least moderate-intensity aerobic exercise and resistance exercise on as many days as possible in the week to comply with current exercise guidelines while providing evidence for clinicians.

Indexed as

ExerciseResistance TrainingAgedCognitionExercise TherapyHumansQuality of LifeRandomized Controlled Trials as Topiccognitive abilityelderexercise interventionsmeta-analysisRCT

Identifiers

PMID36673844
PMCPMC9858649
OpenAlexW4313816259

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.