{"title":"Mobile health interventions for active aging: a systematic review and meta-analysis on the effectiveness of physical activity promotion.","authors":"Kim Daniels, Kirsten Quadflieg, Bruno Bonnechère","doi":"10.21037/mhealth-24-41","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>With increasing evidence supporting the benefits of physical activity (PA) for older adults, there is a critical need for effective interventions to promote activity in this population. Mobile health (mHealth) technologies offer innovative approaches to enhance engagement in PA, yet evidence of their effectiveness remains varied and insufficiently synthesized. This systematic review and meta-analysis aims to evaluate the effectiveness of mHealth interventions in improving physical health, quality of life, cognitive function, and mental well-being among community-dwelling older adults aged 65 years and over.</p><p><strong>Methods: </strong>This systematic review and meta-analysis followed the PRISMA guidelines, focusing on studies that utilized mHealth interventions to promote PA among community-dwelling older adults aged 65 years and older. The literature search included electronic databases like PubMed, Web of Science and CENTRAL, with studies published from 2014 onwards. Eligible studies were randomized controlled trials (RCTs), non-RCTs, and single-group studies that provided quantitative and qualitative data on physical health outcomes.</p><p><strong>Results: </strong>The search yielded 4,453 studies, with 22 meeting the inclusion criteria. These studies involved a total of 3,055 participants, primarily from high-income countries. The interventions included the use of an application (n=5), websites (n=7), wearable device (n=3), website + wearable device (n=3), and application + wearable device (n=3). Meta-analysis of 11 RCTs, representing 2,204 participants, showed an overall significant effect of the mHealth intervention [standardized mean difference =0.23; 95% confidence interval: 0.08-0.38], subgroup analysis shows varied effects on PA levels, with some studies reporting significant improvements in PA metrics, while others showed minimal impact.</p><p><strong>Conclusions: </strong>mHealth interventions have the potential to promote PA among older adults, but the effectiveness is highly variable. This variability may be influenced by intervention design, technology used, and participant engagement. Future research should focus on personalized, adaptable mHealth solutions that address the specific needs and preferences of older adults to enhance sustained engagement and effectiveness.</p>","PeriodicalId":74181,"journal":{"name":"mHealth","volume":"11 ","pages":"4"},"PeriodicalIF":2.2000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11811652/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"mHealth","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/mhealth-24-41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: With increasing evidence supporting the benefits of physical activity (PA) for older adults, there is a critical need for effective interventions to promote activity in this population. Mobile health (mHealth) technologies offer innovative approaches to enhance engagement in PA, yet evidence of their effectiveness remains varied and insufficiently synthesized. This systematic review and meta-analysis aims to evaluate the effectiveness of mHealth interventions in improving physical health, quality of life, cognitive function, and mental well-being among community-dwelling older adults aged 65 years and over.
Methods: This systematic review and meta-analysis followed the PRISMA guidelines, focusing on studies that utilized mHealth interventions to promote PA among community-dwelling older adults aged 65 years and older. The literature search included electronic databases like PubMed, Web of Science and CENTRAL, with studies published from 2014 onwards. Eligible studies were randomized controlled trials (RCTs), non-RCTs, and single-group studies that provided quantitative and qualitative data on physical health outcomes.
Results: The search yielded 4,453 studies, with 22 meeting the inclusion criteria. These studies involved a total of 3,055 participants, primarily from high-income countries. The interventions included the use of an application (n=5), websites (n=7), wearable device (n=3), website + wearable device (n=3), and application + wearable device (n=3). Meta-analysis of 11 RCTs, representing 2,204 participants, showed an overall significant effect of the mHealth intervention [standardized mean difference =0.23; 95% confidence interval: 0.08-0.38], subgroup analysis shows varied effects on PA levels, with some studies reporting significant improvements in PA metrics, while others showed minimal impact.
Conclusions: mHealth interventions have the potential to promote PA among older adults, but the effectiveness is highly variable. This variability may be influenced by intervention design, technology used, and participant engagement. Future research should focus on personalized, adaptable mHealth solutions that address the specific needs and preferences of older adults to enhance sustained engagement and effectiveness.
背景:随着越来越多的证据支持身体活动(PA)对老年人的益处,迫切需要有效的干预措施来促进这一人群的活动。移动医疗(mHealth)技术提供了创新的方法来加强个人保健的参与,但其有效性的证据仍然各不相同,而且还没有充分综合。本系统综述和荟萃分析旨在评估移动健康干预在改善65岁及以上社区老年人身体健康、生活质量、认知功能和心理健康方面的有效性。方法:本系统综述和荟萃分析遵循PRISMA指南,重点关注利用移动健康干预措施促进65岁及以上社区老年人PA的研究。文献检索包括PubMed、Web of Science和CENTRAL等电子数据库,包括2014年以后发表的研究。符合条件的研究包括随机对照试验(rct)、非随机对照试验和提供身体健康结果定量和定性数据的单组研究。结果:共检索到4453项研究,其中22项符合纳入标准。这些研究共涉及3055名参与者,主要来自高收入国家。干预措施包括应用程序(n=5)、网站(n=7)、可穿戴设备(n=3)、网站+可穿戴设备(n=3)和应用程序+可穿戴设备(n=3)的使用。11项随机对照试验(rct)的荟萃分析显示,移动健康干预的总体效果显著[标准化平均差=0.23;95%可信区间:0.08-0.38],亚组分析显示对PA水平有不同的影响,一些研究报告PA指标有显著改善,而另一些研究显示影响很小。结论:移动健康干预有可能促进老年人的前列腺癌,但其有效性是高度可变的。这种可变性可能受到干预设计、使用的技术和参与者参与度的影响。未来的研究应侧重于个性化、适应性强的移动健康解决方案,以满足老年人的特定需求和偏好,从而提高持续的参与度和有效性。