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Application of interactive video games as rehabilitation tools to improve postural control and risk of falls in prefrail older adults
journal contribution
posted on 2021-06-10, 10:04 authored by Hammad Alhasan, Patrick WheelerPatrick Wheeler, Daniel FongDaniel FongThe purpose of this study was to examine whether Interactive Video Game (IVG) training is an effective way to improve postural control outcomes and decrease the risk of falls. A convenience sample of 12 pre frail older adults were recruited and divided into two groups: intervention group performed IVG training for 40 minutes, twice per week, for a total of 16 sessions. Control group received no intervention and continue their usual activity. Outcome measures were Centre of pressure (COP) mean velocity, sway area and sway path. Secondary outcomes were, Berg Balance Scale, Timed up and go (TUG), Fall Efficacy Scale International (FES-I) and Activity Specific Balance Confidence (ABC). Assessment was conducted pre intervention (week zero) and post-intervention (week eight). The intervention group showed significant improvement in mean velocity and sway area Berg Balance Scale and TUG (p<0.01) compared to control group. However, no significant improvement was observed for sway path (p= 0.35), FES-I (p= 0.383) and ABC (p= 0.283). This study showed that IVG training led to significant improvements in postural control but not for risk of falls.
Funding
PhD programme within the School of Sport, Exercises and 36 Health Sciences at Loughborough University, UK
History
School
- Sport, Exercise and Health Sciences
Published in
Cyborg and Bionic SystemsVolume
2021Publisher
Science Partner JournalsVersion
- VoR (Version of Record)
Rights holder
© The authorsPublisher statement
This is an Open Access Article. It is published by Science Partner Journals under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/Acceptance date
2021-06-08Publication date
2021-06-25Copyright date
2021eISSN
2692-7632Publisher version
Language
- en
Depositor
Dr Daniel Fong. Deposit date: 9 June 2021Article number
9841342Usage metrics
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