The effectiveness of digital technology-based Otago Exercise Program on balance ability, muscle strength and fall efficacy in the elderly: a systematic review and meta-analysis.

IF 3.5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Zihao He, Hua Wu, Guanggao Zhao, Yiming Zhang, Chao Li, Yachen Xing, Anjie Xu, Junchao Yang, Ronghui Wang
{"title":"The effectiveness of digital technology-based Otago Exercise Program on balance ability, muscle strength and fall efficacy in the elderly: a systematic review and meta-analysis.","authors":"Zihao He, Hua Wu, Guanggao Zhao, Yiming Zhang, Chao Li, Yachen Xing, Anjie Xu, Junchao Yang, Ronghui Wang","doi":"10.1186/s12889-024-21251-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To explore the impact of the digital implementation of the Otago Exercise Program (OEP) on balance ability (static and dynamic), muscle strength, and fall efficacy in elderly people; and analyze different potential influencing factors in subgroups to find the most suitable training plan.</p><p><strong>Methods: </strong>EBSCO, PubMed, Web of Science, and China Knowledge Network databases (core) were searched up to August 1, 2023. Experimental studies of implementing OEP based on digital technology to improve outcomes related to falls in the elderly were included. Bias risks were assessed using the Cochrane collaboration tool. Meta-analysis was performed to assess the pooled effect of balance ability (static and dynamic), muscle strength, and fall efficacy using a random effects model. Subgroup analyses were conducted to examine the potential modifying effects of different factors (e.g., training period, frequency, duration, age).</p><p><strong>Results: </strong>Twelve articles were included from the literature, including 10 randomized controlled trials, one single-group quasi-experimental study, and one case report. Digital technologies used in the studies were categorized into three types: (1) online interventions (Zoom, WeChat), (2) recorded videos (via computers, TVs, DVDs), and (3) wearable technologies (motion sensors, augmented reality systems). The implementation of OEP based on digital technology showed significantly improved on static balance (SMD = 0.86, 95% CI 0.35-1.37), dynamic balance (SMD = 1.07, 95% CI 0.90-1.24), muscular strength (SMD = 0.43, 95% CI 0.17-0.69), and fall efficacy (SMD=-0.70, 95% CI -0.98, -0.41); Subgroup analysis by period '≥12 weeks', frequency '≥3 times/week', and duration '≤45 minutes per session', respectively, showed significant improvements on static balance (SMD = 0.73, 95% CI 0.21-1.25; SMD = 0.86, 95% CI 0.35-1.37; SMD = 1.10, 95% CI 0.31-1.89), dynamic balance (SMD = 1.08, 95% CI 0.88-1.28; SMD = 1.01, 95% CI 0.93-1.27; SMD = 1.07, 95% CI 0.89-1.25), muscle strength (SMD = 0.43, 95% CI 0.10-0.75; SMD = 0.54, 95% CI 0.30-0.77; SMD = 0.53, 95% CI 0.19-0.87), and fall efficacy (SMD=-0.75, 95% CI -1.39, -0.11; SMD=-0.70, 95% CI -0.98, -0.41; SMD=-0.74, 95% CI -1.10, -0.39).</p><p><strong>Conclusions: </strong>OEP implemented through digital technology effectively enhances static and dynamic balance, muscle strength, and self-efficacy in older adults. A training regimen of 12 weeks or more, with sessions occurring three or more times per week for 30 to 45 min, appears to be an effective approach for improving these outcomes based on the available evidence from the included studies. Future research should prioritize specific digital technologies and target populations, employing high-quality research designs to further explore these interventions, and consider new technologies such as wearables, to assess changes in fall prevalence.</p>","PeriodicalId":9039,"journal":{"name":"BMC Public Health","volume":"25 1","pages":"71"},"PeriodicalIF":3.5000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11707927/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12889-024-21251-9","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To explore the impact of the digital implementation of the Otago Exercise Program (OEP) on balance ability (static and dynamic), muscle strength, and fall efficacy in elderly people; and analyze different potential influencing factors in subgroups to find the most suitable training plan.

Methods: EBSCO, PubMed, Web of Science, and China Knowledge Network databases (core) were searched up to August 1, 2023. Experimental studies of implementing OEP based on digital technology to improve outcomes related to falls in the elderly were included. Bias risks were assessed using the Cochrane collaboration tool. Meta-analysis was performed to assess the pooled effect of balance ability (static and dynamic), muscle strength, and fall efficacy using a random effects model. Subgroup analyses were conducted to examine the potential modifying effects of different factors (e.g., training period, frequency, duration, age).

Results: Twelve articles were included from the literature, including 10 randomized controlled trials, one single-group quasi-experimental study, and one case report. Digital technologies used in the studies were categorized into three types: (1) online interventions (Zoom, WeChat), (2) recorded videos (via computers, TVs, DVDs), and (3) wearable technologies (motion sensors, augmented reality systems). The implementation of OEP based on digital technology showed significantly improved on static balance (SMD = 0.86, 95% CI 0.35-1.37), dynamic balance (SMD = 1.07, 95% CI 0.90-1.24), muscular strength (SMD = 0.43, 95% CI 0.17-0.69), and fall efficacy (SMD=-0.70, 95% CI -0.98, -0.41); Subgroup analysis by period '≥12 weeks', frequency '≥3 times/week', and duration '≤45 minutes per session', respectively, showed significant improvements on static balance (SMD = 0.73, 95% CI 0.21-1.25; SMD = 0.86, 95% CI 0.35-1.37; SMD = 1.10, 95% CI 0.31-1.89), dynamic balance (SMD = 1.08, 95% CI 0.88-1.28; SMD = 1.01, 95% CI 0.93-1.27; SMD = 1.07, 95% CI 0.89-1.25), muscle strength (SMD = 0.43, 95% CI 0.10-0.75; SMD = 0.54, 95% CI 0.30-0.77; SMD = 0.53, 95% CI 0.19-0.87), and fall efficacy (SMD=-0.75, 95% CI -1.39, -0.11; SMD=-0.70, 95% CI -0.98, -0.41; SMD=-0.74, 95% CI -1.10, -0.39).

Conclusions: OEP implemented through digital technology effectively enhances static and dynamic balance, muscle strength, and self-efficacy in older adults. A training regimen of 12 weeks or more, with sessions occurring three or more times per week for 30 to 45 min, appears to be an effective approach for improving these outcomes based on the available evidence from the included studies. Future research should prioritize specific digital technologies and target populations, employing high-quality research designs to further explore these interventions, and consider new technologies such as wearables, to assess changes in fall prevalence.

求助全文
约1分钟内获得全文 求助全文
来源期刊
BMC Public Health
BMC Public Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
4.40%
发文量
2108
审稿时长
1 months
期刊介绍: BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信