Comparative effectiveness of interventions on promoting physical activity in older adults: A systematic review and network meta-analysis.

IF 3.3 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES DIGITAL HEALTH Pub Date : 2024-04-09 eCollection Date: 2024-01-01 DOI:10.1177/20552076241239182
Shuang Wu, Guangkai Li, Beibei Shi, Hongli Ge, Si Chen, Xianliang Zhang, Qiang He
{"title":"Comparative effectiveness of interventions on promoting physical activity in older adults: A systematic review and network meta-analysis.","authors":"Shuang Wu, Guangkai Li, Beibei Shi, Hongli Ge, Si Chen, Xianliang Zhang, Qiang He","doi":"10.1177/20552076241239182","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Despite the well-established health benefits of physical activity, a large population of older adults still maintain sedentary life style or physical inactivity. This network meta-analysis (NMA) aimed to compare the effectiveness of wearable activity tracker-based intervention (WAT), electronic and mobile health intervention (E&MH), structured exercise program intervention (SEP), financial incentive intervention (FI) on promoting physical activity and reducing sedentary time in older adults.</p><p><strong>Methods: </strong>The systematic review based on PRISMA guidelines, a systematic literature search of PubMed, Web of Science, Google Scholar, EMbase, Cochrane Library, Scopus were searched from inception to December 10<sup>th</sup> 2022. The randomized controlled trials (RCT) were included. Two reviewers independently conducted study selection, data extraction, risk of bias and certainty of evidence assessment. The effect measures were standard mean differences (SMD) and 95% confidence interval (CI) in daily steps, moderate-to-vigorous physical activity (MVPA) and sedentary time.</p><p><strong>Results: </strong>A total of 69 studies with 14,120 participants were included in the NMA. Among these included studies, the results of daily steps, MVPA and sedentary time was reported by 55, 25 and 15 studies, respectively. The NMA consistency model analysis suggested that the following interventions had the highest probability (surface under the cumulative ranking, SUCRA) of being the best when compared with control: FI + WAT for daily steps (SUCRA = 96.6%; SMD = 1.32, 95% CI:0.77, 1.86), WAT + E&MH + SEP for MVPA (SUCRA = 91.2%; SMD = 0.94, 95% CI: 0.36, 1.52) and WAT + E&MH + SEP for sedentary time (SUCRA = 80.3%; SMD = -0.50, 95% CI: -0.87, -0.14). The quality of the evidences of daily steps, MVPA and sedentary time was evaluated by very low, very low and low, respectively.</p><p><strong>Conclusions: </strong>In this NMA, there's low quality evidence that financial incentive combined with wearable activity tracker is the most effective intervention for increasing daily steps of older adults, wearable activity tracker combined with electronic and mobile health and structured exercise program is the most effective intervention to help older adults to increase MVPA and reduce sedentary time.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"10 ","pages":"20552076241239182"},"PeriodicalIF":3.3000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11005496/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DIGITAL HEALTH","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/20552076241239182","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Despite the well-established health benefits of physical activity, a large population of older adults still maintain sedentary life style or physical inactivity. This network meta-analysis (NMA) aimed to compare the effectiveness of wearable activity tracker-based intervention (WAT), electronic and mobile health intervention (E&MH), structured exercise program intervention (SEP), financial incentive intervention (FI) on promoting physical activity and reducing sedentary time in older adults.

Methods: The systematic review based on PRISMA guidelines, a systematic literature search of PubMed, Web of Science, Google Scholar, EMbase, Cochrane Library, Scopus were searched from inception to December 10th 2022. The randomized controlled trials (RCT) were included. Two reviewers independently conducted study selection, data extraction, risk of bias and certainty of evidence assessment. The effect measures were standard mean differences (SMD) and 95% confidence interval (CI) in daily steps, moderate-to-vigorous physical activity (MVPA) and sedentary time.

Results: A total of 69 studies with 14,120 participants were included in the NMA. Among these included studies, the results of daily steps, MVPA and sedentary time was reported by 55, 25 and 15 studies, respectively. The NMA consistency model analysis suggested that the following interventions had the highest probability (surface under the cumulative ranking, SUCRA) of being the best when compared with control: FI + WAT for daily steps (SUCRA = 96.6%; SMD = 1.32, 95% CI:0.77, 1.86), WAT + E&MH + SEP for MVPA (SUCRA = 91.2%; SMD = 0.94, 95% CI: 0.36, 1.52) and WAT + E&MH + SEP for sedentary time (SUCRA = 80.3%; SMD = -0.50, 95% CI: -0.87, -0.14). The quality of the evidences of daily steps, MVPA and sedentary time was evaluated by very low, very low and low, respectively.

Conclusions: In this NMA, there's low quality evidence that financial incentive combined with wearable activity tracker is the most effective intervention for increasing daily steps of older adults, wearable activity tracker combined with electronic and mobile health and structured exercise program is the most effective intervention to help older adults to increase MVPA and reduce sedentary time.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
促进老年人体育锻炼的干预措施的比较效果:系统综述和网络荟萃分析。
背景:尽管体育锻炼对健康的益处已得到证实,但仍有大量老年人保持久坐不动或缺乏体育锻炼的生活方式。这项网络荟萃分析(NMA)旨在比较基于可穿戴活动追踪器的干预(WAT)、电子和移动健康干预(E&MH)、结构化锻炼计划干预(SEP)、经济激励干预(FI)对促进老年人体育锻炼和减少久坐时间的有效性:根据PRISMA指南进行系统性回顾,在PubMed、Web of Science、Google Scholar、EMbase、Cochrane Library和Scopus上检索了从开始到2022年12月10日的系统性文献。随机对照试验(RCT)被纳入其中。两名审稿人独立进行了研究选择、数据提取、偏倚风险和证据确定性评估。效果测量指标为每日步数、中到剧烈运动(MVPA)和久坐时间的标准平均差(SMD)和95%置信区间(CI):共有 69 项研究、14120 名参与者被纳入 NMA。在这些纳入的研究中,分别有 55、25 和 15 项研究报告了每日步数、MVPA 和久坐时间的结果。NMA 一致性模型分析表明,与对照组相比,以下干预措施的最佳概率(累积排名下的表面积,SUCRA)最高:针对每日步数的 FI + WAT(SUCRA = 96.6%;SMD = 1.32,95% CI:0.77,1.86)、针对 MVPA 的 WAT + E&MH + SEP(SUCRA = 91.2%;SMD = 0.94,95% CI:0.36,1.52)和针对久坐时间的 WAT + E&MH + SEP(SUCRA = 80.3%;SMD = -0.50,95% CI:-0.87,-0.14)。对每日步数、MVPA 和久坐时间的证据质量评估分别为非常低、非常低和低:在这项NMA中,有低质量的证据表明,经济激励与可穿戴活动追踪器相结合是增加老年人每日步数最有效的干预措施,可穿戴活动追踪器与电子和移动健康及结构化锻炼计划相结合是帮助老年人增加MVPA和减少久坐时间最有效的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
DIGITAL HEALTH
DIGITAL HEALTH Multiple-
CiteScore
2.90
自引率
7.70%
发文量
302
期刊最新文献
Mapping scientific trends in bipolar disorder and digital psychiatry (2000-2025): A bibliometric and visualized analysis of AI-driven diagnosis and digital interventions. Semantic analysis of SNOMED CT concept co-occurrences in clinical documentation using MIMIC-IV. A mechanism-based digital intervention for alexithymia: Design, development, and validation of a multi-modal approach. Cry analysis for early detection of infantile colic: Integrating behavioral and acoustic cry patterns using machine learning. Metaverse-driven telehealth services adoption in China: The role of regulatory compliance, training and technical support, peer influence and literacy determinants in an extended technology acceptance model.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1