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Exergames for balance dysfunction in neurological disability: a meta-analysis with meta-regression

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Abstract

Objective

To evaluate systematically the efficacy of exergames for balance dysfunction in neurological conditions and to identify factors of exergaming protocols that may influence their effects.

Methods

We searched electronic databases for randomized clinical trials investigating the effect of commercial exergames versus alternative interventions on balance dysfunction as assessed by standard clinical scales in adults with acquired neurological disabilities. Standardized mean differences (Hedge’s g) were calculated with random-effects models. Subgroup analyses and meta-regression were run to explore potential modifiers of effect size.

Results

Out of 106 screened articles, 41 fulfilled criteria for meta-analysis, with a total of 1223 patients included. Diseases under investigation were stroke, Parkinson’s disease, multiple sclerosis, mild cognitive impairment or early Alzheimer’s disease, traumatic brain injury, and myelopathy. The pooled effect size of exergames on balance was moderate (g = 0.43, p < 0.001), with higher frequency (number of sessions per week) associated with larger effect (β = 0.24, p = 0.01). There was no effect mediated by the overall duration of the intervention and intensity of a single session. The beneficial effect of exergames could be maintained for at least 4 weeks after discontinuation, but their retention effect was specifically explored in only 11 studies, thus requiring future investigation. Mild to moderate adverse events were reported in a minority of studies. We estimated a low risk of bias, mainly attributable to the lack of double-blindness and not reporting intention-to-treat analysis.

Conclusions

The pooled evidence suggests that exergames improve balance dysfunction and are safe in several neurological conditions. The findings of high-frequency interventions associated with larger effect size, together with a possible sustained effect of exergaming, may guide treatment decisions and inform future research.

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References

  1. Tinetti ME, Kumar C (2010) The patient who falls: “It’s Always a Trade-off”. JAMA 303:258

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Stolze H, Klebe S, Zechlin C et al (2004) Falls in frequent neurological diseases. J Neurol 251:79–84

    Article  PubMed  Google Scholar 

  3. Mack S, Kandel ER, Jessell TM et al (2013) Principles of neural science, 5th edn. McGraw Hill Professional, New York

    Google Scholar 

  4. McNeely ME, Duncan RP, Earhart GM (2012) Medication improves balance and complex gait performance in Parkinson disease. Gait Posture 36:144–148

    Article  PubMed  PubMed Central  Google Scholar 

  5. Chan DM (2020) Zoellick MRB world report on disability. https://www.who.int. Accessed 20 Feb 2020

  6. Read JL, Shortell SM (2011) Interactive games to promote behavior change in prevention and treatment. JAMA 305:1704–1705

    Article  CAS  PubMed  Google Scholar 

  7. Adamovich SV, Fluet GG, Tunik E, Merians AS (2009) Sensorimotor training in virtual reality: a review. NeuroRehabilitation 25:29

    Article  PubMed  PubMed Central  Google Scholar 

  8. Moher D, Liberati A, Tetzlaff J et al (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. Open Med Peer-Rev Indep Open-Access J 3:e123–130

    Google Scholar 

  9. O’Sullivan D, Wilk S, Michalowski W, Farion K (2013) Using PICO to align medical evidence with MDs decision making models. Stud Health Technol Inform 192:1057

    PubMed  Google Scholar 

  10. Visser JE, Carpenter MG, van der Kooij H, Bloem BR (2008) The clinical utility of posturography. Clin Neurophysiol Off J Int Fed Clin Neurophysiol 119:2424–2436

    Article  Google Scholar 

  11. Cohen J (1992) A power primer. Psychol Bull 112:155–159

    Article  CAS  PubMed  Google Scholar 

  12. Chapter 10: Analysing data and undertaking meta-analyses. https://www.training.cochrane.org. Accessed 19 Feb 2020

  13. Maher CG, Sherrington C, Herbert RD et al (2003) Reliability of the PEDro scale for rating quality of randomized controlled trials. Phys Ther 83:713–721

    Article  PubMed  Google Scholar 

  14. Guyatt GH, Oxman AD, Schünemann HJ et al (2011) GRADE guidelines: a new series of articles in the Journal of Clinical Epidemiology. J Clin Epidemiol 64:380–382

    Article  PubMed  Google Scholar 

  15. Andrews JC, Schunemann HJ, Oxman AD et al (2013) GRADE guidelines: 15. Going from evidence to recommendation-determinants of a recommendation's direction and strength. J Clin Epidemiol 66:726–735

    Article  PubMed  Google Scholar 

  16. Barcala L, Grecco LAC, Colella F et al (2013) Visual biofeedback balance training using wii fit after stroke: a randomized controlled trial. J Phys Ther Sci 25:1027–1032

    Article  PubMed  PubMed Central  Google Scholar 

  17. Bower KJ, Clark RA, McGinley JL et al (2014) Clinical feasibility of the Nintendo WiiTM for balance training post-stroke: a phase II randomized controlled trial in an inpatient setting. Clin Rehabil 28:912–923

    Article  PubMed  Google Scholar 

  18. Brichetto G, Spallarossa P, de Carvalho MLL, Battaglia MA (2013) The effect of Nintendo® Wii® on balance in people with multiple sclerosis: a pilot randomized control study. Mult Scler 19:1219–1221

    Article  PubMed  Google Scholar 

  19. Cho KH, Lee KJ, Song CH (2012) Virtual-reality balance training with a video-game system improves dynamic balance in chronic stroke patients. Tohoku J Exp Med 228:69–74

    Article  PubMed  Google Scholar 

  20. Choi HS, Shin WS, Bang DH, Choi SJ (2017) Effects of game-based constraint-induced movement therapy on balance in patients with stroke: a single-blind randomized controlled trial. Am J Phys Med Rehabil 96:184–190

    Article  PubMed  Google Scholar 

  21. Choi D, Choi W, Lee S (2018) Influence of Nintendo Wii fit balance game on visual perception, postural balance, and walking in stroke survivors: a pilot randomized clinical trial. Games Health J 7:377–384

    Article  CAS  Google Scholar 

  22. Cuthbert JP, Staniszewski K, Hays K et al (2014) Virtual reality-based therapy for the treatment of balance deficits in patients receiving inpatient rehabilitation for traumatic brain injury. Brain Inj 28:181–188

    Article  PubMed  Google Scholar 

  23. de Oliveira Arnaut VAC, Macedo M, Pinto EB et al (2014) Virtual reality therapy in the treatment of HAM/TSP individuals: a randomized clinical trial. Revista Pesquisa em Fisioterapia 4:99–106

    Google Scholar 

  24. Fritz SL, Peters DM, Merlo AM, Donley J (2013) Active video-gaming effects on balance and mobility in individuals with chronic stroke: a randomized controlled trial. Top Stroke Rehabil 20:218–225

    Article  PubMed  Google Scholar 

  25. Gandolfi M, Geroin C, Dimitrova E et al (2017) Virtual reality telerehabilitation for postural instability in Parkinson’s Disease: a multicenter, single-blind, randomized, controlled trial. BioMed Res Int 2017:1–11

    Article  Google Scholar 

  26. Gil-Gómez JA, Lloréns R, Alcañiz M, Colomer C (2011) Effectiveness of a Wii balance board-based system (eBaViR) for balance rehabilitation: a pilot randomized clinical trial in patients with acquired brain injury. J NeuroEng Rehabil 8:30

    Article  PubMed  PubMed Central  Google Scholar 

  27. Golla A, Müller T, Wohlfarth K et al (2018) Home-based balance training using Wii FitTM: a pilot randomised controlled trial with mobile older stroke survivors. Pilot Feasibility Stud 4:143

    Article  PubMed  PubMed Central  Google Scholar 

  28. Hung JW, Chou CX, Hsieh YW et al (2014) Randomized comparison trial of balance training by using exergaming and conventional weight-shift therapy in patients with chronic stroke. Arch Phys Med Rehabil 95:1629–1637

    Article  PubMed  Google Scholar 

  29. Hung JW, Chou CX, Chang HF et al (2017) Cognitive effects of weight-shifting controlled exergames in patients with chronic stroke: a pilot randomized comparison trial. Eur J Phys Rehabil Med 53:694–702

    Article  PubMed  Google Scholar 

  30. Kannan L, Vora J, Bhatt T, Hughes SL (2019) Cognitive-motor exergaming for reducing fall risk in people with chronic stroke: a randomized controlled trial. NeuroRehabilitation 44:493–510

    Article  PubMed  Google Scholar 

  31. Karasu A, Batur E, Karataş G (2018) Effectiveness of Wii-based rehabilitation in stroke: a randomized controlled study. J Rehabil Med 50:406–412

    Article  PubMed  Google Scholar 

  32. Lee GH (2016) Effects of virtual reality exercise program on balance, emotion and quality of life in patients with cognitive decline. J Korean Phys Ther 28:355–363

    Article  Google Scholar 

  33. Lee HC, Huang CL, Ho SH, Sung WH (2017) The effect of a virtual reality game intervention on balance for patients with stroke: a randomized controlled trial. Games Health J 6:303–311

    Article  PubMed  Google Scholar 

  34. Lee MM, Lee KJ, Song CH (2018) Game-based virtual reality canoe paddling training to improve postural balance and upper extremity function: a preliminary randomized controlled study of 30 patients with subacute stroke. Med Sci Monit 24:2590–2598

    Article  PubMed  PubMed Central  Google Scholar 

  35. Liao YY, Yang YR, Cheng SJ et al (2015) Virtual reality-based training to improve obstacle-crossing performance and dynamic balance in patients with Parkinson’s Disease. Neurorehabil Neural Repair 29:658–667

    Article  PubMed  Google Scholar 

  36. Lozano-Quilis JA, Gil-Gómez H, Gil-Gómez JA et al (2014) Virtual rehabilitation for multiple sclerosis using a kinect-based system: randomized controlled trial. JMIR Serious Games 2:e12

    Article  PubMed  PubMed Central  Google Scholar 

  37. Morone G, Tramontano M, Iosa M et al (2014) The efficacy of balance training with video game-based therapy in subacute stroke patients: a randomized controlled trial. BioMed Res Int 2014:1–6

    Google Scholar 

  38. Nilsagard YE, Forsberg AS, von Koch L (2013) Balance exercise for persons with multiple sclerosis using Wii games: a randomised, controlled multi-centre study. Mult Scler 19:209–216

    Article  PubMed  Google Scholar 

  39. Ortiz Gutiérrez R, Galán del Río F, Cano de la Cuerda R et al (2013) A telerehabilitation program by virtual reality-video games improves balance and postural control in multiple sclerosis patients. NeuroRehabilitation 33:545–554

    Article  Google Scholar 

  40. Padala KP, Padala PR, Malloy TR et al (2012) Wii-fit for improving gait and balance in an assisted living facility: a pilot study. J Aging Res 2012:1–6

    Article  Google Scholar 

  41. Padala KP, Padala PR, Lensing SY et al (2017) Home-based exercise program improves balance and fear of falling in community-dwelling older adults with mild Alzheimer’s disease: a pilot study. J Alzheimers Dis 59:565–574

    Article  PubMed  Google Scholar 

  42. Park DS, Lee DG, Lee K, Lee G (2017) Effects of virtual reality training using xbox kinect on motor function in stroke survivors: a preliminary study. J Stroke Cerebrovasc Dis Off J Natl Stroke Assoc 26:2313–2319

    Article  Google Scholar 

  43. Pompeu JE, Mendes FAS, Silva KG et al (2012) Effect of Nintendo WiiTM-based motor and cognitive training on activities of daily living in patients with Parkinson’s disease: a randomised clinical trial. Physiotherapy 98:196–204

    Article  PubMed  Google Scholar 

  44. Prosperini L, Fortuna D, Giannì C et al (2013) Home-based balance training using the wii balance board: a randomized, crossover pilot study in multiple sclerosis. Neurorehabil Neural Repair 27:516–525

    Article  PubMed  Google Scholar 

  45. Ribas CG, Alves da Silva L, Corrêa MR et al (2017) Effectiveness of exergaming in improving functional balance, fatigue and quality of life in Parkinson’s disease: a pilot randomized controlled trial. Parkinsonism Relat Disord 38:13–18

    Article  PubMed  Google Scholar 

  46. Santos P, Machado T, Santos L et al (2019) Efficacy of the Nintendo Wii combination with Conventional Exercises in the rehabilitation of individuals with Parkinson’s disease: a randomized clinical trial. NeuroRehabilitation 45:255–263

    Article  PubMed  Google Scholar 

  47. Shih MC, Wang RY, Cheng SJ, Yang YR (2016) Effects of a balance-based exergaming intervention using the Kinect sensor on posture stability in individuals with Parkinson’s disease: a single-blinded randomized controlled trial. J NeuroEngineering Rehabil 13:78

    Article  Google Scholar 

  48. Song GB, Park EC (2015) Effect of virtual reality games on stroke patients’ balance, gait, depression, and interpersonal relationships. J Phys Ther Sci 27:2057–2060

    Article  PubMed  PubMed Central  Google Scholar 

  49. Song J, Paul SS, Caetano MJD et al (2018) Home-based step training using videogame technology in people with Parkinson’s disease: a single-blinded randomised controlled trial. Clin Rehabil 32:299–311

    Article  PubMed  Google Scholar 

  50. Straudi S, Severini G, Sabbagh Charabati A et al (2017) The effects of video game therapy on balance and attention in chronic ambulatory traumatic brain injury: an exploratory study. BMC Neurol 17:86

    Article  PubMed  PubMed Central  Google Scholar 

  51. Tak S, Choi W, Lee S (2015) Game-based virtual reality training improves sitting balance after spinal cord injury: a single-blinded, randomized controlled trial. Med Sci Technol 56:53–59

    Article  Google Scholar 

  52. Thomas S, Fazakarley L, Thomas PW et al (2017) Mii-vitaliSe: a pilot randomised controlled trial of a home gaming system (Nintendo Wii) to increase activity levels, vitality and well-being in people with multiple sclerosis. BMJ Open 7:e016966

    Article  PubMed  PubMed Central  Google Scholar 

  53. Tollár J, Nagy F, Hortobágyi T (2019) Vastly different exercise programs similarly improve parkinsonian symptoms: a randomized clinical trial. Gerontology 65:120–127

    Article  PubMed  Google Scholar 

  54. Yang YR, Chen YH, Chang HC et al (2015) Effects of interactive visual feedback training on post-stroke pusher syndrome: a pilot randomized controlled study. Clin Rehabil 29:987–993

    Article  PubMed  Google Scholar 

  55. Yatar GI, Yildirim SA (2015) Wii Fit balance training or progressive balance training in patients with chronic stroke: a randomised controlled trial. J Phys Ther Sci 27:1145–1151

    Article  PubMed  PubMed Central  Google Scholar 

  56. Yazgan YZ, Tarakci E, Tarakci D et al (2020) Comparison of the effects of two different exergaming systems on balance, functionality, fatigue, and quality of life in people with multiple sclerosis: a randomized controlled trial. Mult Scler Relat Disord 39:101902

    Article  Google Scholar 

  57. Jalink MB, Heineman E, Pierie JPEN, ten Cate Hoedemaker HO (2014) Nintendo related injuries and other problems: review. BMJ 349:g7267

    Article  PubMed  PubMed Central  Google Scholar 

  58. Cano Porras D, Siemonsma P, Inzelberg R et al (2018) Advantages of virtual reality in the rehabilitation of balance and gait: systematic review. Neurology 90:1017–1025

    Article  PubMed  Google Scholar 

  59. Goble DJ, Cone BL, Fling BW (2014) Using the Wii Fit as a tool for balance assessment and neurorehabilitation: the first half decade of “Wii-search”. J Neuroeng Rehabil 11:12

    Article  PubMed  PubMed Central  Google Scholar 

  60. Taylor MJD, Griffin M (2015) The use of gaming technology for rehabilitation in people with multiple sclerosis. Mult Scler 21:355–371

    Article  CAS  PubMed  Google Scholar 

  61. Ravenek KE, Wolfe DL, Hitzig SL (2016) A scoping review of video gaming in rehabilitation. Disabil Rehabil Assist Technol 11:445–453

    PubMed  Google Scholar 

  62. Laver KE, Lange B, George S et al (2017) Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev 11:CD008349

    PubMed  Google Scholar 

  63. Casuso-Holgado MJ, Martín-Valero R, Carazo AF et al (2018) Effectiveness of virtual reality training for balance and gait rehabilitation in people with multiple sclerosis: a systematic review and meta-analysis. Clin Rehabil 32:1220–1234

    Article  PubMed  Google Scholar 

  64. Santos P, Scaldaferri G, Santos L et al (2019) Effects of the Nintendo Wii training on balance rehabilitation and quality of life of patients with Parkinson’s disease: a systematic review and meta-analysis. NeuroRehabilitation 44:569–577

    Article  PubMed  Google Scholar 

  65. Booth V, Masud T, Connell L, Bath-Hextall F (2014) The effectiveness of virtual reality interventions in improving balance in adults with impaired balance compared with standard or no treatment: a systematic review and meta-analysis. Clin Rehabil 28:419–431

    Article  PubMed  Google Scholar 

  66. Forsberg A, Nilsagård Y, Boström K (2015) Perceptions of using videogames in rehabilitation: a dual perspective of people with multiple sclerosis and physiotherapists. Disabil Rehabil 37:338–344

    Article  PubMed  Google Scholar 

  67. van Diest M, Stegenga J, Wörtche HJ et al (2016) Exergames for unsupervised balance training at home: a pilot study in healthy older adults. Gait Posture 44:161–167

    Article  PubMed  Google Scholar 

  68. Peng W, Lin J-H, Crouse J (2011) Is playing exergames really exercising? A meta-analysis of energy expenditure in active video games. Cyberpsychology Behav Soc Netw 14:681–688

    Article  Google Scholar 

  69. Kleim JA, Jones TA (2008) Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage. J Speech Lang Hear Res 51:S225–239

    Article  PubMed  Google Scholar 

  70. Kolb B, Muhammad A (2014) Harnessing the power of neuroplasticity for intervention. Front Hum Neurosci 8:377

    Article  PubMed  PubMed Central  Google Scholar 

  71. Raven F, Van der Zee EA, Meerlo P, Havekes R (2018) The role of sleep in regulating structural plasticity and synaptic strength: implications for memory and cognitive function. Sleep Med Rev 39:3–11

    Article  PubMed  Google Scholar 

  72. Karim H, Schmidt B, Dart D et al (2012) Functional near-infrared spectroscopy (fNIRS) of brain function during active balancing using a video game system. Gait Posture 35:367–372

    Article  PubMed  Google Scholar 

  73. Prosperini L, Fanelli F, Petsas N et al (2014) Multiple sclerosis: changes in microarchitecture of white matter tracts after training with a video game balance board. Radiology 273:529–538

    Article  PubMed  Google Scholar 

  74. O’Reilly JX, Beckmann CF, Tomassini V et al (2010) Distinct and overlapping functional zones in the cerebellum defined by resting state functional connectivity. Cereb Cortex 20:953–965

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank Jen-Wen Hung, Giovanni Morone, Jòzsef Tollàr and Rosa Ortiz-Gutiérrez for data sharing.

Funding

This study was supported by FISM—Fondazione Italiana Sclerosi Multipla—cod. 2017/R/22 and financed or co-financed with the ‘5 per mille’ public funding.

LP: personal fees and non-financial support from Biogen, Celgene, Genzyme, Merck, Mylan, Novartis, Roche, Teva; research grants from Genzyme and Fondazione Italiana Sclerosi Multipla. VT: personal fees and non-financial support from Biogen and Novartis; research grants from Biogen. LC: personal fees and non-financial support from Almirall. AT: nothing to disclose. GB: nothing to disclose. DC: research grants from Fondazione Italiana Sclerosi Multipla. CMS: personal fees and non-financial support from Almirall, Biogen, GW Pharma, Merck; research grants from Fondazione Italiana Sclerosi Multipla.

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Correspondence to Luca Prosperini.

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Prosperini, L., Tomassini, V., Castelli, L. et al. Exergames for balance dysfunction in neurological disability: a meta-analysis with meta-regression. J Neurol 268, 3223–3237 (2021). https://doi.org/10.1007/s00415-020-09918-w

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