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Effect of virtual reality training using 3-dimensional video gaming technology on spatiotemporal gait parameters in older adults
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 Title & Authors
Effect of virtual reality training using 3-dimensional video gaming technology on spatiotemporal gait parameters in older adults
Lee, Yongwoo;
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PURPOSE: This study was conducted to investigate the effect of the virtual reality training (VRT) using 3-dimensional video gaming technology on spatiotemporal gait parameters in older adults. METHODS: The study participants were divided into two groups: the VRT group and the control group. Those in the VRT group were enrolled in a VRT, which was conducted for 60 min per day, two times a week, during the 6-week research. The Wii-Fit balance board game was used for the VRT intervention. The VRT consisted of 6 different types of games, namely, jogging, swordplay, ski jump, hula hoop, tennis, and step dance. A 3-dimensional TV was used for 3-dimensional display. Participants in both the groups received 3 sessions of fall prevention education, at the first, third, and fifth weeks. Their gait parameters were measured by using OptoGait. RESULTS: After 6 weeks of the VRT, the spatial gait parameters of the participants, that is stride length and step length, were significantly improved compared with those of the control group participants (p<0.05). The temporal gait parameters, such as velocity, cadence, stride time, and step time, also showed improvement after the completion of the VRT training (p<0.05). Both the temporal and spatial gait parameters of the VRT group participants showed improvement after 6 weeks of the program compared with those of the control group participants (p<0.05). CONCLUSION: The VRT using 3-dimensional video gaming technology might be beneficial for improving gait parameters to prevent falls among older adults.
Aged;Virtual Reality Exposure Therapy;Gait;
 Cited by
Alexander NB. Gait disorders in older adults. J Am Geriatr Soc. 1996;44(4):434-51. crossref(new window)

Auvinet B, Berrut G, Touzard C et al. Reference data for normal subjects obtained with an accelerometric device. Gait Posture. 2002;16(2):124-34. crossref(new window)

Axer H, Axer M, Sauer H et al. Falls and gait disorders in geriatric neurology. Clin Neurol Neurosurg. 2010;112(4):265-74. crossref(new window)

Betker AL, Szturm TMoussavi Z. Development of an interactive motivating tool for rehabilitation movements. Conf Proc IEEE Eng Med Biol Soc. 2005;3:2341-4.

Bridenbaugh SAKressig RW. Laboratory review: the role of gait analysis in seniors' mobility and fall prevention. Gerontology. 2011;57(3):256-64. crossref(new window)

Callisaya ML, Blizzard L, McGinley JL et al. Risk of falls in older people during fast-walking--the TASCOG study. Gait Posture. 2012;36(3):510-5. crossref(new window)

Campbell AJ, Borrie MJSpears GF. Risk factors for falls in a community-based prospective study of people 70 years and older. J Gerontol. 1989;44(4):M112-7. crossref(new window)

Cesari M, Kritchevsky SB, Penninx BW et al. Prognostic value of usual gait speed in well-functioning older people--results from the Health, Aging and Body Composition Study. J Am Geriatr Soc. 2005;53(10):1675-80. crossref(new window)

Cho GShin H. The effect of virtual reality training on lower extremity muscle activation in elderly. J Korean Soc Phys Med. 2014;9(1):55-62. crossref(new window)

Cho Y-H. Analysis of Gait Velocity, Lower Muscles Activity on Obstacle and Dual Task Gait in Elderly Women. Korean Society of Physical Medicine. 2011;6(4):465-73.

Choi S-H, Lim J-H, Cho H-Y et al. The effects of trunk stabilization exercise using swiss ball and core stabilization exercise on balance and gait in elderly women. Journal of the Korean Society of Physical Medicine. 2012;7(1):49-58. crossref(new window)

Gachet Paez D, Aparicio F, de Buenaga M et al. Personalized health care system with virtual reality rehabilitation and appropriate information for seniors. Sensors (Basel). 2012;12(5):5502-16. crossref(new window)

Gehlsen GMWhaley MH. Falls in the elderly: Part II, Balance, strength, and flexibility. Arch Phys Med Rehabil. 1990;71(10):739-41.

Gillespie LD, Robertson MC, Gillespie WJ et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2012;9:CD007146.

Hausdorff JM, Rios DAEdelberg HK. Gait variability and fall risk in community-living older adults: a 1-year prospective study. Arch Phys Med Rehabil. 2001;82(8):1050-6. crossref(new window)

Henderson GC, Irving BANair KS. Potential application of essential amino Acid supplementation to treat sarcopenia in elderly people. J Clin Endocrinol Metab. 2009;94(5):1524-6. crossref(new window)

Holt KG, Jeng SF, Ratcliffe R et al. Energetic cost and stability during human walking at the preferred stride frequency. Journal of motor behavior. 1995;27(2):164-78. crossref(new window)

Kannus P, Sievanen H, Palvanen M et al. Prevention of falls and consequent injuries in elderly people. Lancet. 2005;366(9500):1885-93. crossref(new window)

Kim J-hPark S-j. Effect of Balance Ability and Walking in the Elderly by Taekwon-do Program. Korean Society of Physical Medicine. 2012;7(3):379-85. crossref(new window)

Kim M-C, Ahn C-SKim Y-S. The Effect of Exercise Program for Falls Prevention on Balance and Quality of Life in the Elderly Women. Journal of the Korean Society of Physical Medicine. 2010;5(2):245-54.

Kuem H. 3D Effect: Presence, Identification and Enjoyment of The Movie 'Avatar'. Korean Journal of Journalism & Communication. 2010;54(4):27-48.

Lamoth CJ, Alingh RCaljouw SR. Exergaming for elderly: effects of different types of game feedback on performance of a balance task. Stud Health Technol Inform. 2012;181:103-7.

Lamoth CJ, Caljouw SRPostema K. Active video gaming to improve balance in the elderly. Stud Health Technol Inform. 2011;167:159-64.

Latham NK, Anderson CS, Lee A et al. A randomized, controlled trial of quadriceps resistance exercise and vitamin D in frail older people: the Frailty Interventions Trial in Elderly Subjects (FITNESS). J Am Geriatr Soc. 2003;51(3):291-9. crossref(new window)

Laver K, Ratcliffe J, George S et al. Is the Nintendo Wii Fit really acceptable to older people? A discrete choice experiment. BMC Geriatr. 2011;11:64. crossref(new window)

Lienhard K, Schneider DMaffiuletti NA. Validity of the Optogait photoelectric system for the assessment of spatiotemporal gait parameters. Med Eng Phys. 2013;35(4):500-4. crossref(new window)

MacAulay RK, Allaire TD, Brouillette RM et al. Longitudinal assessment of neuropsychological and temporal/spatial gait characteristics of elderly fallers: taking it all in stride. Front Aging Neurosci. 2015;7:34.

Mackenzie L, Byles JD'Este C. Validation of self-reported fall events in intervention studies. Clin Rehabil. 2006;20(4):331-9. crossref(new window)

Madureira MM, Takayama L, Gallinaro AL et al. Balance training program is highly effective in improving functional status and reducing the risk of falls in elderly women with osteoporosis: a randomized controlled trial. Osteoporos Int. 2007;18(4):419-25. crossref(new window)

Maki BE. Gait changes in older adults: predictors of falls or indicators of fear. J Am Geriatr Soc. 1997;45(3):313-20. crossref(new window)

Martin-Moreno J, Ruiz-Fernandez D, Soriano-Paya A et al. Monitoring 3D movements for the rehabilitation of joints in physiotherapy. Conf Proc IEEE Eng Med Biol Soc. 2008;2008:4836-9.

McCallum J. Ageing research directions for Australia. Australas J Ageing. 2011;30 Suppl 2:1-3.

McGibbon CA, Krebs DEPuniello MS. Mechanical energy analysis identifies compensatory strategies in disabled elders' gait. J Biomech. 2001;34(4):481-90. crossref(new window)

Muhlberg WSieber C. Sarcopenia and frailty in geriatric patients: implications for training and prevention. Z Gerontol Geriatr. 2004;37(1):2-8. crossref(new window)

Rubenstein LZ. Falls in older people: epidemiology, risk factors and strategies for prevention. Age Ageing. 2006;35 Suppl 2:ii37-ii41. crossref(new window)

Rubenstein LZ, Robbins AS, Schulman BL et al. Falls and instability in the elderly. J Am Geriatr Soc. 1988;36(3):266-78. crossref(new window)

Sartini M, Cristina ML, Spagnolo AM et al. The epidemiology of domestic injurious falls in a community dwelling elderly population: an outgrowing economic burden. Eur J Public Health. 2010;20(5):604-6. crossref(new window)

Sherrington C, Whitney JC, Lord SR et al. Effective exercise for the prevention of falls: a systematic review and meta-analysis. J Am Geriatr Soc. 2008;56(12):2234-43. crossref(new window)

Thaler-Kall K, Peters A, Thorand B et al. Description of spatio-temporal gait parameters in elderly people and their association with history of falls: results of the population-based cross-sectional KORA-Age study. BMC Geriatr. 2015;15:32. crossref(new window)

Tinetti MEKumar C. The patient who falls: "It's always a trade-off". JAMA. 2010;303(3):258-66. crossref(new window)

Verghese J, Holtzer R, Lipton RB et al. Quantitative gait markers and incident fall risk in older adults. J Gerontol A Biol Sci Med Sci. 2009;64(8):896-901.

Verghese J, LeValley A, Hall CB et al. Epidemiology of gait disorders in community-residing older adults. J Am Geriatr Soc. 2006;54(2):255-61. crossref(new window)

Wayne PM, Hausdorff JM, Lough M et al. Tai Chi Training may Reduce Dual Task Gait Variability, a Potential Mediator of Fall Risk, in Healthy Older Adults:Cross-Sectional and Randomized Trial Studies. Front Hum Neurosci. 2015;9:332.

WHO. WHO global report on falls prevention in older age. World Health Organization (WHO). 2007;

Williams MA, Soiza RL, Jenkinson AM et al. EXercising with Computers in Later Life (EXCELL) - pilot and feasibility study of the acceptability of the Nintendo(R) WiiFit in community-dwelling fallers. BMC Res Notes. 2010;3:238. crossref(new window)