Dept. of Information Systems and Analytics, COM2-04-16, School of Computing, National University of Singapore, 15 Computing Drive, 117418, Singapore.
Dept. of Computer Science, COM2-02-62, School of Computing, National University of Singapore, 15 Computing Drive, 117418, Singapore.
Int J Med Inform. 2019 Mar;123:54-67. doi: 10.1016/j.ijmedinf.2018.12.005. Epub 2018 Dec 15.
The use of smartphone apps to track and manage physical activity (PA), diet, and sleep is growing rapidly. Many apps aim to change individual behavior on these three key health dimensions (PA, sleep, diet) by using various interventions. Earlier reviews have examined interventions using smartphone apps for one or two of these dimensions. However, there is lack of reviews focusing on interventions for all three of these dimensions in combination with each other. This is important since the dimensions are often inter-related, and all are required for a healthy lifestyle.
The objective of this study is to conduct a review to: (1) map out the research done using smartphone app interventions targeting all three or any two of the three dimensions (PA, sleep, and diet), (2) examine if the studies consider the inter-relationships among the dimensions, and (3) identify the personalization methods implemented by the studies.
A literature search was conducted in electronic databases and libraries related to medical and informatics literature - PubMed, ScienceDirect, PsycINFO (ProQuest, Ovid) - using relevant selected keywords. Article selection and inclusion were done by removing duplicates, analyzing titles and abstracts, and then reviewing the full text of the articles.
In the final analysis, 14 articles were selected - 2 articles focusing on PA and sleep, 8 on PA and diet, and 4 that examine or (at least) collect data of all three dimensions (PA, sleep, and diet). No research was found that focused on sleep and diet together. Of the 14 articles, only 4 build user profiles. Further, 3 of these 4 studies deliver personalized feedback based on the user's profile, with only 1 study providing automated, personalized recommendations for behavior change. Additionally, 6 of the included studies report all positive outcomes, while for 3 studies the primary outcomes are awaited. The remaining 5 studies do not report significant changes in all outcomes. In all, only 1 study examines the relationship between two (PA and diet) dimensions. No study was found to assess the relationships among the 3 dimensions.
使用智能手机应用程序来跟踪和管理身体活动(PA)、饮食和睡眠的方式正在迅速发展。许多应用程序旨在通过使用各种干预措施来改变这三个关键健康维度(PA、睡眠、饮食)上的个体行为。早期的综述已经检查了针对这些维度中的一个或两个维度的智能手机应用程序干预措施。然而,缺乏针对这些维度相互结合的所有三个维度的干预措施的综述。这很重要,因为这些维度通常是相互关联的,并且都需要健康的生活方式。
本研究的目的是进行综述,以:(1)绘制使用针对所有三个维度(PA、睡眠和饮食)或任何两个维度(PA、睡眠和饮食)的智能手机应用程序干预措施进行的研究,(2)检查研究是否考虑了这些维度之间的相互关系,以及(3)确定研究实施的个性化方法。
在与医学和信息学文献相关的电子数据库和图书馆中进行了文献检索 - PubMed、ScienceDirect、PsycINFO(ProQuest、Ovid)- 使用相关的选定关键词。通过去除重复项、分析标题和摘要,然后审查文章的全文,进行文章选择和纳入。
在最终分析中,选择了 14 篇文章 - 2 篇文章关注 PA 和睡眠,8 篇文章关注 PA 和饮食,4 篇文章检查或(至少)收集了所有三个维度(PA、睡眠和饮食)的数据。没有发现专门关注睡眠和饮食的研究。在这 14 篇文章中,只有 4 篇构建了用户档案。进一步的,这 4 篇研究中的 3 篇基于用户档案提供个性化反馈,只有 1 篇研究为行为改变提供自动化、个性化的建议。此外,6 项纳入研究报告了所有积极的结果,而 3 项研究正在等待主要结果。其余 5 项研究没有报告所有结果的显著变化。总的来说,只有 1 项研究检查了两个(PA 和饮食)维度之间的关系。没有研究发现评估三个维度之间的关系。