Chloe French, Yvonne McKenzie, Emma Stanmore, Sorrel Burden
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引用次数: 0
Abstract
This systematic review aims to identify the effectiveness of digital health applications (apps) to increase physical activity (PA) or prevent malnutrition in community-dwelling older adults. Searches were conducted in June 2023 across seven electronic databases (MEDLINE, PsycINFO, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Excerpta Medica database, Allied and Complementary Medicine Database, and Cochrane Central Register of Controlled Trials), and grey literature were searched via google scholar. Data from studies that met the inclusion criteria were extracted. Risk of bias was assessed, and the quality of evidence was evaluated using Grading of Recommendations Assessment, Development, and Evaluation. Meta-analyses were undertaken where appropriate using DerSimonian and Laird random-effects model (Stata version 16.1), or data were described narratively. Twenty-seven studies met the eligibility criteria, although 23 of these had low or unclear risk of bias. Twelve studies considered PA outcomes only, two studies considered nutritional outcomes only, and three studies considered both PA and nutritional components. A meta-analysis comprising six studies (818 participants) showed that those using a digital health app had a higher step count compared with participants in the control group (mean difference = 799, 95% CI [48.76, 1550.08]). Studies looking at nutritional outcomes aimed to increase protein intake or adherence to dietary patterns with mixed findings. Digital health apps have the potential to increase PA in community-dwelling older adults. Digital health app interventions that aim to reduce the risk of malnutrition in older adults is a relatively unexplored area with mixed findings, so more high-quality studies should be prioritized.
本系统综述旨在确定数字健康应用程序(app)在增加社区老年人身体活动(PA)或预防营养不良方面的有效性。检索于2023年6月在7个电子数据库(MEDLINE, PsycINFO, Web of Science, Cumulative Index to Nursing and Allied Health Literature, abstrpta Medica数据库,Allied and Complementary Medicine数据库,Cochrane Central Register of Controlled Trials)中进行,并通过谷歌scholar检索灰色文献。从符合纳入标准的研究中提取数据。评估偏倚风险,并使用分级推荐评估、发展和评估来评估证据质量。在适当的地方使用DerSimonian和Laird随机效应模型(Stata version 16.1)进行meta分析,或对数据进行叙述性描述。27项研究符合入选标准,尽管其中23项的偏倚风险较低或不明确。12项研究仅考虑PA结果,2项研究仅考虑营养结果,3项研究同时考虑PA和营养成分。一项包含6项研究(818名参与者)的荟萃分析显示,与对照组相比,使用数字健康应用程序的参与者的步数更高(平均差异= 799,95% CI[48.76, 1550.08])。着眼于营养结果的研究旨在增加蛋白质摄入量或坚持饮食模式,结果喜忧参半。数字健康应用程序有可能增加社区老年人的PA。旨在降低老年人营养不良风险的数字健康应用干预措施是一个相对未开发的领域,研究结果好坏参半,因此应该优先考虑更多高质量的研究。
期刊介绍:
The Journal of Aging and Physical Activity (JAPA) is a multidisciplinary journal that publishes peer-reviewed original research reports, scholarly reviews, and professional-application articles on the relationship between physical activity and the aging process. The journal encourages the submission of articles that can contribute to an understanding of (a) the impact of physical activity on physiological, psychological, and social aspects of older adults and (b) the effect of advancing age or the aging process on physical activity among older adults.
In addition to publishing research reports and reviews, JAPA publishes articles that examine the development, implementation, and evaluation of physical activity programs among older adults. Articles from the biological, behavioral, and social sciences, as well as from fields such as medicine, clinical psychology, physical and recreational therapy, health, physical education, and recreation, are appropriate for the journal. Studies using animal models do not fit within our mission statement and should be submitted elsewhere.