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Record W4409040004 · doi:10.1177/20552076251328491

Effects of immersive leisure-based virtual reality cognitive training on cognitive and physical function in community-based older adults: A randomized controlled trial

2025· article· en· W4409040004 on OpenAlex
I‐Ching Chuang, Auwal Abdullahi, I-Chen Chen, Yih‐Ru Wu, Ching‐Yi Wu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Health · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionCognitive trainingPsychologyPopulationMontreal Cognitive AssessmentEffects of sleep deprivation on cognitive performanceRandomized controlled trialCognitive flexibilityCognitive skillPhysical medicine and rehabilitationMedicineCognitive impairmentPsychiatry

Abstract

fetched live from OpenAlex

Background: Older adults are at risk of developing cognitive impairments, and cognitive training is commonly used to enhance cognitive function in this population. The effectiveness of cognitive training is further optimized with the integration of leisure-based activities, such as horticultural therapy. However, to the best of our knowledge, there is a lack of studies examining the effect of integrating virtual reality (VR) with leisure-based activities to provide real-world experiences and enhance cognitive outcomes in older adults. Furthermore, while immersive VR cognitive training has demonstrated effectiveness in enhancing multiple cognitive domains, methodological limitations-such as the absence of control groups or the use of passive controls-hinder the ability to draw conclusive conclusions regarding its comparative effectiveness. Objective: This study conducted immersive leisure-based VR cognitive training in community-dwelling older adults to investigate its effectiveness on cognitive and physical functions. We employed an active control group in which participants received well-arranged leisure activities without focusing on cognitive components. Methods: This cluster randomized controlled trial was conducted in the community facilities in northern Taiwan between 2022 and 2023. The VR cognitive training group received simulated gardening activities, such as planting, fertilizing, and harvesting, and tasks involving cognitive challenges, such as producing plant essential oils, for 60 min daily, 2 days per week, for 8 weeks. The control group received non-cognitive training. The outcomes evaluated were cognitive function assessed by Montreal Cognitive Assessment (MoCA), immediate memory assessed by Wechsler Memory Scale (WMS)-Word List, working memory and mental flexibility assessed by WMS-Digit Span Forward, WMS-Digit Span Backward, and WMG-Digit Span Sequencing (DSS), and physical function assessed by the Timed Up and Go (TUG) test. Results: = 0.015), and TUG (0.008*) compared with the control group. Conclusions: This study is the first to examine the effects of fully immersive, leisure-based VR cognitive training on cognitive and physical function in community-dwelling older adults, highlighting its potential as a promising tool for promoting health compared to the non-cognitive training commonly used in community facilities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.288
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it