Evidence map›Paper›PMID 42646023›Full record

ReviewJournal of Intelligence2026

Effects of Traditional and Technology-Based Exercise Interventions on Cognitive Function in Older Adults: A Systematic Review and Meta-Analysis.

Jingzhan Ren, Xiaotong Du, Wei Wang, Sijing Fan, Han Wang, Gongxing Fang, Yuan Li, Ruilong Wang, Hegui Bao, Chenyu Zhang and 3 more

Abstract readReview
In one paragraph

Review in Journal of Intelligence, 2026. 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

13 authors.

Jingzhan RenSchool of Business, East China University of Science and Technology, Shanghai 200237, China.
Xiaotong DuSchool of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
Wei WangFaculty of Digital Creativity, Anhui Sanlian University, Hefei 230601, China.
Sijing FanSchool of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
Han WangSchool of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
Gongxing FangSchool of Law, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
Yuan LiSchool of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
Ruilong WangSchool of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.ORCID 0009-0000-8229-7597
Hegui BaoSchool of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
Chenyu ZhangSchool of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
Ruohan ZhuSchool of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
Xinming YeSchool of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
Wen FangSchool of Sports Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.ORCID 0000-0002-6888-7854

Funding

Anhui Sanlian Group L110-72581China Central Education Reform Special Project JGS02262001Enterprise-Sponsored Research Project, "Mechanisms and Empirical Research on the Effects of Tai Chi Exercise on Cardiovascular and Cerebrovascular Health in Older Adults" L110-72401Shanghai Education Commission's Scientific and Technological Innovation Project L100-2-24109Shanghai Education Science Planning Project A2025003the Teacher Industry-University-Research Cooperation Project YS0230519
6 · The paper itself

Abstract

backgroundAs population aging accelerates, pharmacological treatments provide limited benefits for cognitive decline. Exercise and technology-assisted exercise have thus emerged as important non-pharmacological approaches for supporting cognitive health in older adults. However, comparative evidence on the relative effectiveness of different intervention modalities across cognitive outcomes remains limited.

objectiveThis study used a network meta-analysis to systematically compare and rank the effects of traditional and non-traditional exercise interventions on cognitive function in older adults.

methodsThis systematic review and network meta-analysis was registered on PROSPERO (CRD420261278685). PubMed, Embase, the Cochrane Library, Web of Science, and Scopus were searched from inception to May 2026. Randomized controlled trials enrolling participants aged 60 years or older were included. Interventions comprised aerobic, resistance, mind-body, finger, and multicomponent exercise, as well as virtual reality-based interventions, artificial intelligence-assisted exercise, and wearable exoskeleton training. Primary outcomes included global cognition, executive function, memory, attention, and activities of daily living. A random effects network meta-analysis was applied to estimate standardized mean differences with 95 percent confidence intervals, and intervention rankings were derived using SUCRA values.

resultsA total of 70 randomized controlled trials involving 5573 older adults were included. All active interventions demonstrated overall cognitive benefits compared with usual care or non-active control conditions. Mind-body exercise showed the highest probability of improving global cognitive performance. Virtual reality-based interventions were particularly effective for executive function, memory, and activities of daily living, while artificial intelligence-assisted exercise showed favorable rankings for attention outcomes. Mind-body exercise showed favorable effects on global cognition, whereas several technology-assisted interventions ranked highly for selected cognitive and functional outcomes.

conclusionsBoth traditional and non non-traditional exercise interventions improve cognitive function in older adults, although their effects differ across cognitive domains. Technology-assisted approaches appear more effective for enhancing specific cognitive functions, while traditional interventions such as mind-body exercise are more advantageous for preserving overall cognitive performance. These findings highlight the potential value of stage specific and combined intervention strategies for promoting cognitive health in aging populations.

Indexed as

cognitive functionexercise interventionsnetwork meta-analysisolder adultstechnology-assisted exercise

Identifiers

PMID42646023
PMCPMC13514244

What OpenQuestion holds

Textmetadata
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.