JOURNAL ARTICLE
Dance Exergames for Older Adults: A Systematic Review and Meta-Analysis With Narrative Synthesis.
Published In: Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2024, v. 79, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Yoong, Si Qi; Wu, Vivien Xi; Chen, Changwu; Lee, Poh Yin; Wee, Karen Siew Lin; Teo, Justina; Chua, Matthew Chin Heng; Jiang, Ying 3 of 3
Abstract
This systematic review and meta-analysis examined the effects, feasibility, usability, and safety of dance exergaming—interactive video games involving dance movements using immersive or nonimmersive virtual reality platforms—on health-related outcomes in older adults aged 60 and above. Analysis of 43 articles from 37 studies (total n=1,139) found that dance exergaming significantly improved dynamic balance, timed-up-and-go performance, choice stepping reaction time, and movement time compared to control groups, while no significant benefits were observed for static balance, other physical function tests, or cognitive measures such as Trail-Making Tests and Stroop tasks. Psychological outcomes showed mixed results, with some evidence suggesting potential reductions in depressive symptoms. The intervention demonstrated good adherence, minimal adverse effects, and was generally considered feasible and usable, though some usability challenges were noted. The review highlights the need for larger randomized controlled trials with standardized outcome measures and longer follow-up to better understand the long-term effects and optimize dance exergame design for older adults.
Additional Information
- Source:Journals of Gerontology Series A: Biological Sciences & Medical Sciences. 2024/04, Vol. 79, Issue 4, p1
- Document Type:Article
- Subject Area:Dance
- Publication Date:2024
- ISSN:1079-5006
- DOI:10.1093/gerona/glae035
- Accession Number:176469946
- Copyright Statement:Copyright of Journals of Gerontology Series A: Biological Sciences & Medical Sciences is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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