ArticleJournal of exercise science and fitness2020
Augmented reality-assisted training with selected Tai-Chi movements improves balance control and increases lower limb muscle strength in older adults: A prospective randomized trial.
Article in Journal of exercise science and fitness, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 11 of them syntheses that pooled it.
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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.
The trial behind it
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Who cites it
34 citing papers in PubMed, 11 syntheses or guidelines pooled it, 85 citations in OpenAlex.
- Effects of Multisensory Integration Training on Postural Stability Characteristics and Fall Risk in Older Adults: Systematic Review and Meta-Analysis.JMIR aging · 2026Pooled it
- Impact of digital Tai Chi interventions on the physical and mental health of older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Effects of digitalized Tai Chi intervention on muscle function and physical performance in older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Effects of different types of Tai Chi intervention on motor function in older adults: a systematic review.Aging clinical and experimental research · 2025Pooled it
- Effects of digitalized traditional Chinese exercises on the physical and mental health and quality of life of older adults: a systematic review and meta-analysis of randomized controlled trials.Frontiers in public health · 2025Pooled it
- Effectiveness of sensor-based interventions in improving gait and balance performance in older adults: systematic review and meta-analysis of randomized controlled trials.Journal of neuroengineering and rehabilitation · 2024Pooled it
- Digital interactive experience- and game-based fall interventions for community-dwelling healthy older adults: a cross-disciplinary systematic review.Frontiers in public health · 2024Pooled it
- Tai chi improves balance performance in healthy older adults: a systematic review and meta-analysis.Frontiers in public health · 2024Pooled it
- Acceptability, Feasibility, and Effectiveness of Immersive Virtual Technologies to Promote Exercise in Older Adults: A Systematic Review and Meta-Analysis.Sensors (Basel, Switzerland) · 2023Pooled it
- The role of motivation factors in exergame interventions for fall prevention in older adults: A systematic review and meta-analysis.Frontiers in neurology · 2022Pooled it
- Comparison between the effects of exergame intervention and traditional physical training on improving balance and fall prevention in healthy older adults: a systematic review and meta-analysis.Journal of neuroengineering and rehabilitation · 2021Pooled it
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- Effectiveness and Usability of a Novel Kinect-Based Tailored Interactive Fall Intervention System for Fall Prevention in Older People: A Preliminary Study.Frontiers in public health · 2022Trial
- Article
- Augmented Reality for Balance Rehabilitation in Older Persons: A Scoping Review.Canadian geriatrics journal : CGJ · 2026Review
- Social image presentation of virtual sports in social media through the analysis of Twitter data.Scientific reports · 2026Article
- Global research trends and hotspots in the health effects of Tai Chi on older adults: a bibliometric analysis (2010-2025).Frontiers in public health · 2026Article
- Tai Chi Chuan Auxiliary Training Systems in Health and Rehabilitation: Scoping Review.Journal of medical Internet research · 2025Article
- Glaucoma rehabilitation with action video games and exercise: study protocol of an active-controlled trial (GRADE).BMJ open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTai-Chi benefits older adults by enhancing balance control and increasing the muscle strength of the lower limbs. However, a complete set of traditional Tai-Chi exercises is sometimes too difficult for beginners. We investigated whether practicing augmented reality-assisted training with selected Tai-Chi movements tailored to the practitioner's ability (selected Tai-Chi, or sTC) is as effective as performing a complete set of Tai-Chi sequences (complete traditional Tai-Chi, or tTC).
methodsIn this prospective randomized trial carried out in the Beitou District of Taipei City, Taiwan, community-dwelling adults aged ≥65 and without any debilitating diseases (n = 28) were included. Participants were randomly assigned to the sTC group (n = 14) or the tTC group (n = 14). Participants in the sTC group practiced selected Tai-Chi movements using the augmented reality Tai-Chi training system. Participants of the tTC group were asked to complete the 24-form Yang-style Tai-Chi following the instructions of Tai-Chi masters. Each training session lasted 30 min, with 3 sessions per week for 8 weeks. Pre- and post-intervention evaluations included functional balance tests, comprising the Berg Balance Scale (BBS), Timed Up and Go test (TUG), and Functional Reach Test (FRT), as well as muscle strength measurements of the lower extremities.
resultsPre-intervention evaluations showed significant differences in FRT (
conclusionsThe augmented reality-assisted training with selected Tai-Chi movements, designed based on objective measurements of the practitioner's capability, improved balance control and muscle strength of lower limbs at least as effectively as the complete sequence of traditional Tai-Chi exercises.
trial registrationThis study was approved by the Institutional Review Board of National Yang-Ming University (IRB number: 1000087). Written informed consent was obtained from all participants.
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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.