Cited by 50Balance, Gait, and Falls PreventionStroke Rehabilitation and RecoveryVirtual Reality Applications and Impacts

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Is Virtual Reality Training More Effective Than Traditional Physical Training on Balance and Functional Mobility in Healthy Older Adults? A Systematic Review and Meta-Analysis

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Liu, Meng, Zhou, Kaixiang, Chen, Yan, Zhou, Limingfei, Bao, Dapeng, Zhou, Junhong·2022·Frontiers in Human Neuroscience

Abstract

Objective: The studies showed the benefits of virtual reality training (VRT) for functional mobility and balance in older adults. However, a large variance in the study design and results is presented. We, thus, completed a systematic review and meta-analysis to quantitatively examine the effects of VRT on functional mobility and balance in healthy older adults. Methods: We systematically reviewed the publications in five databases. Studies that examine the effects of VRT on the measures of functional mobility and balance in healthy older adults were screened and included if eligible. Subgroup analyses were completed to explore the effects of different metrics of the intervention design (e.g., session time) on those outcomes related to functional mobility and balance. Results: Fifteen studies of 704 participants were included. The quality of these studies was good. Compared to traditional physical therapy (TPT), VRT induced greater improvement in TUG (MD = −0.31 s, 95% CI = −0.57 to −0.05, p = 0.02, I 2 = 6.34%) and one-leg stance with open eyes (OLS-O) (MD = 7.28 s, 95% CI = 4.36 to 10.20, p = 0.00, I 2 = 36.22%). Subgroup analyses revealed that immersive VRT with more than 800 min of total intervention time over 8 weeks and at least 120 min per week and/or designed by the two motor-learning principles was optimal for functional mobility and balance. Conclusion: Virtual reality training can significantly improve functional mobility and balance in healthy older adults compared to TPT, and the findings provided critical knowledge of the optimized design of VRT that can inform future studies with more rigorous designs. Systematic Review Registration: [ https://www.crd.york.ac.uk/PROSPERO/ ], identifier [CRD42021297085].

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Crossref · 10.3389/fnhum.2022.843481

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FIGURE 1 Preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow chart of the study identification and selection process.
FIGURE 1 Preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow chart of the study identification and selection process.CC BY · PubMed Central
FIGURE 2 Risk of bias graph.
FIGURE 2 Risk of bias graph.CC BY · PubMed Central
FIGURE 3 Result of meta-analysis. (A) Timed Up and Go (TUG), (B) one-leg stance with open eyes (OLS-O), (C) functional reach test (FRT), and (D) gait speed (GS).
FIGURE 3 Result of meta-analysis. (A) Timed Up and Go (TUG), (B) one-leg stance with open eyes (OLS-O), (C) functional reach test (FRT), and (D) gait speed (GS).CC BY · PubMed Central
FIGURE 4 Funnel plots.
FIGURE 4 Funnel plots.CC BY · PubMed Central

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Research works printed but not linked: 43

  1. Babadi, 2021, Effects of virtual reality versus conventional balance training on balance of the elderly., Exp. Gerontol., 153, 10.1016/j.exger.2021.111498 · DOI
  2. Barry, 2014, Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta-analysis., BMC Geriatr., 14, 10.1186/1471-2318-14-14 · DOI
  3. Bouça-Machado, 2020, Patients and health professional’s perspective of functional mobility in Parkinson’s disease., Front. Neurol., 11, 10.3389/fneur.2020.575811 · DOI
  4. Buckinx, 2020, The effects of GAMotion (a giant exercising board game) on physical capacity, motivation and quality of life among nursing home residents: a pilot interventional study., Exp. Gerontol., 138, 10.1016/j.exger.2020.110983 · DOI
  5. Carmigniani, 2011, Augmented reality technologies, systems and applications., Multimed. Tools Appl., 51, 341, 10.1007/s11042-010-0660-6 · DOI
  6. Chen, 2021, 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., J. NeuroEng. Rehabil., 18, 10.1186/s12984-021-00917-0 · DOI
  7. Clemson, 2012, Integration of balance and strength training into daily life activity to reduce rate of falls in older people (the LiFE study): randomised parallel trial., BMJ, 345, 10.1136/bmj.e4547 · DOI
  8. Cohen, 2013, Statistical Power Analysis for the Behavioral Sciences., 10.4324/9780203771587 · DOI · Paper page
  9. de Amorim, 2018, Virtual reality therapy for rehabilitation of balance in the elderly: a systematic review and META-analysis., Adv. Rheumatol., 58, 10.1186/s42358-018-0013-0 · DOI
  10. Duval, 2000, Trim and fill: a simple funnel-plot–based method of testing and adjusting for publication bias in meta-analysis., Biometrics, 56, 455, 10.1111/j.0006-341x.2000.00455.x · DOI · Paper page
  11. FilipoviĆ, 2021, A 12-week exercise program improves functional status in postmenopausal osteoporotic women: randomized controlled study., Eur. J. Phys. Rehabil. Med., 57, 120, 10.23736/s1973-9087.20.06149-3 · DOI
  12. Hall, 2016, Feasibility of a low-cost, interactive gaming system to assess balance in older women., J. Aging Phys. Act., 24, 111, 10.1123/japa.2014-0184 · DOI
  13. Higgins, 2019, Cochrane Handbook for Systematic Reviews of Interventions., 10.1002/9781119536604 · DOI · Paper page
  14. Higgins, 2003, Measuring inconsistency in meta-analyses., BMJ, 327, 557, 10.1136/bmj.327.7414.557 · DOI · Paper page
  15. Hrysomallis, 2011, Balance ability and athletic performance., Sports Med., 41, 221, 10.2165/11538560-000000000-00000 · DOI
  16. Htut, 2018, Effects of physical, virtual reality-based, and brain exercise on physical, cognition, and preference in older persons: a randomized controlled trial., Eur. Rev. Aging Phys. Act., 15, 10.1186/s11556-018-0199-5 · DOI
  17. Jung, 2015, Kinematic effect of Nintendo Wii(TM) sports program exercise on obstacle gait in elderly women with falling risk., J. Phys. Ther. Sci., 27, 1397, 10.1589/jpts.27.1397 · DOI
  18. Karahan, 2015, Effects of exergames on balance, functional mobility, and quality of life of geriatrics versus home exercise programme: randomized controlled study., Cent. Eur. J. Public Health, S14, 10.21101/cejph.a4081 · DOI
  19. Khushnood, 2021, Role Wii Fit exer-games in improving balance confidence and quality of life in elderly population., J. Pak. Med. Assoc., 71, 2130, 10.47391/JPMA.319 · DOI
  20. Kwok, 2016, Effects of WiiActive exercises on fear of falling and functional outcomes in community-dwelling older adults: a randomised control trial., Age Ageing, 45, 621, 10.1093/ageing/afw108 · DOI
  21. Laufer, 2014, Does a Wii-based exercise program enhance balance control of independently functioning older adults? A systematic review., Clin. Interv. Aging, 9, 1803, 10.2147/CIA.S69673 · DOI
  22. Lee, 2020, Virtual reality gait training to promote balance and gait among older people: a randomized clinical trial., Geriatrics (Basel), 6, 10.3390/geriatrics6010001 · DOI
  23. Lee, 2013, Effectiveness of virtual reality using video gaming technology in elderly adults with diabetes mellitus., Diabet. Technol. Ther., 15, 489, 10.1089/dia.2013.0050 · DOI
  24. Lesinski, 2015, Effects of balance training on balance performance in healthy older adults: a systematic review and meta-analysis., Sports Med., 45, 1721, 10.1007/s40279-015-0375-y · DOI
  25. Levin, 2015, Emergence of virtual reality as a tool for upper limb rehabilitation: incorporation of motor control and motor learning principles., Phys. Ther., 95, 415, 10.2522/ptj.20130579 · DOI
  26. Liu, 2009, Progressive resistance strength training for improving physical function in older adults., Cochrane Database Syst. Rev., 2009, 10.1002/14651858.CD002759.pub2 · DOI · Paper page
  27. Mao, 2014, Virtual reality training improves balance function., Neural Regen. Res., 9, 1628, 10.4103/1673-5374.141795 · DOI
  28. McEwen, 2014, Virtual reality exercise improves mobility after stroke: an inpatient randomized controlled trial., Stroke, 45, 1853, 10.1161/STROKEAHA.114.005362 · DOI
  29. Moreira, 2021, Perceptive-cognitive and physical function in prefrail older adults: exergaming versus traditional multicomponent training., Rejuvenation Res., 24, 28, 10.1089/rej.2020.2302 · DOI
  30. Neri, 2017, Do virtual reality games improve mobility skills and balance measurements in community-dwelling older adults? Systematic review and meta-analysis., Clin. Rehabil., 31, 1292, 10.1177/0269215517694677 · DOI
  31. Owens, 2011, Changes in physical activity and fitness after 3 months of home Wii Fit™ use., J. Strength Cond. Res., 25, 3191, 10.1519/JSC.0b013e3182132d55 · DOI
  32. Padala, 2017, Efficacy of Wii-Fit on static and dynamic balance in community dwelling older veterans: a randomized controlled pilot trial., J. Aging Res., 2017, 10.1155/2017/4653635 · DOI
  33. Park, 2015, The effects of virtual reality game exercise on balance and gait of the elderly., J. Phys. Ther. Sci., 27, 1157, 10.1589/jpts.27.1157 · DOI
  34. Phu, 2019, Balance training using virtual reality improves balance and physical performance in older adults at high risk of falls., Clin. Interv. Aging, 14, 1567, 10.2147/CIA.S220890 · DOI
  35. Pluchino, 2012, Pilot study comparing changes in postural control after training using a video game balance board program and 2 standard activity-based balance intervention programs., Arch. Phys. Med. Rehabil., 93, 1138, 10.1016/j.apmr.2012.01.023 · DOI
  36. Rebelo, 2021, Immersive virtual reality is effective in the rehabilitation of older adults with balance disorders: a randomized clinical trial., Exp. Gerontol., 149, 10.1016/j.exger.2021.111308 · DOI
  37. Rubenstein, 2006, Falls in older people: epidemiology, risk factors and strategies for prevention., Age Ageing, ii37, 10.1093/ageing/afl084 · DOI
  38. Sadeghi, 2021, Effects of 8 weeks of balance training, virtual reality training, and combined exercise on lower limb muscle strength, balance, and functional mobility among older men: a randomized controlled trial., Sports Health, 13, 606, 10.1177/1941738120986803 · DOI
  39. Stanmore, 2019, The effectiveness and cost-effectiveness of strength and balance Exergames to reduce falls risk for people aged 55 years and older in UK assisted living facilities: a multi-centre, cluster randomised controlled trial., BMC Med., 17, 10.1186/s12916-019-1278-9 · DOI
  40. van Diest, 2014, Suitability of Kinect for measuring whole body movement patterns during exergaming., J. Biomech., 47, 2925, 10.1016/j.jbiomech.2014.07.017 · DOI
  41. Whyatt, 2015, A Wii bit of fun: a novel platform to deliver effective balance training to older adults., Games Health J., 4, 423, 10.1089/g4h.2015.0006 · DOI
  42. Yang, 2020, Effects of Kinect exergames on balance training among community older adults: a randomized controlled trial., Medicine, 99, 10.1097/MD.0000000000021228 · DOI
  43. Yeşilyaprak, 2016, Comparison of the effects of virtual reality-based balance exercises and conventional exercises on balance and fall risk in older adults living in nursing homes in Turkey., Physiother. Theory Pract., 32, 191, 10.3109/09593985.2015.1138009 · DOI

Cited by

Sorted by citations

  • User experience of mixed reality applications for healthy ageing: A systematic review

    Lim, K. J., McGuckian, T. B., Cole, M. H., Duckworth, J., & Wilson, P. H. (2023) · Cyberpsychology: Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2023-4-5 · Cited by 5

    “In recent work from 2022, reviews on this area have continued to focus on the effectiveness and outcomes of digital interventions in healthy ageing (Balki et al., 2022; Chu et al., 2022; Liu et al., 2022; Margrett et al., 2022; Suleiman ‐ Martos et al., 2022).”
    Background

Metadata

Authors
Liu, M., Zhou, K., Chen, Y., Zhou, L., Bao, D., & Zhou, J.
Affiliations
  • Beijing Sport University (CN)
  • Chengdu University of Traditional Chinese Medicine (CN)
  • Harvard University (US)
Corresponding author
Bao, Dapeng
Venue
Frontiers in Human Neuroscience
Published
2022-03-23
Volume
16
Pages
843481-843481
ISSN
1662-5161 (ISSN-L)
OpenAlex
W4220770312
Cited by
50
References
2
Citations by year
2026: 19 · 2025: 10 · 2024: 10 · 2023: 7 · 2022: 4
FWCI
1.92
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Human Neuroscience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
Keywords
virtual reality training, balance, functional mobility, older adults, Timed Up and Go test, single-leg stance, immersive virtual reality, motor learning, intervention duration, healthy aging

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