Frie Kerstin, Hartmann-Boyce Jamie, Jebb Susan, Albury Charlotte, Nourse Rebecca, Aveyard Paul
Nuffield Department of Primary Care Health Sciences, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.
JMIR Mhealth Uhealth. 2017 Dec 22;5(12):e203. doi: 10.2196/mhealth.8791.
Significant weight loss takes several months to achieve, and behavioral support can enhance weight loss success. Weight loss apps could provide ongoing support and deliver innovative interventions, but to do so, developers must ensure user satisfaction.
The aim of this study was to conduct a review of Google Play Store apps to explore what users like and dislike about weight loss and weight-tracking apps and to examine qualitative feedback through analysis of user reviews.
The Google Play Store was searched and screened for weight loss apps using the search terms weight loss and weight track*, resulting in 179 mobile apps. A content analysis was conducted based on the Oxford Food and Activity Behaviors taxonomy. Correlational analyses were used to assess the association between complexity of mobile health (mHealth) apps and popularity indicators. The sample was then screened for popular apps that primarily focus on weight-tracking. For the resulting subset of 15 weight-tracking apps, 569 user reviews were sampled from the Google Play Store. Framework and thematic analysis of user reviews was conducted to assess which features users valued and how design influenced users' responses.
The complexity (number of components) of weight loss apps was significantly positively correlated with the rating (r=.25; P=.001), number of reviews (r=.28; P<.001), and number of downloads (r=.48; P<.001) of the app. In contrast, in the qualitative analysis of weight-tracking apps, users expressed preference for simplicity and ease of use. In addition, we found that positive reinforcement through detailed feedback fostered users' motivation for further weight loss. Smooth functioning and reliable data storage emerged as critical prerequisites for long-term app usage.
Users of weight-tracking apps valued simplicity, whereas users of comprehensive weight loss apps appreciated availability of more features, indicating that complexity demands are specific to different target populations. The provision of feedback on progress can motivate users to continue their weight loss attempts. Users value seamless functioning and reliable data storage.
显著的体重减轻需要数月时间才能实现，行为支持可以提高减肥的成功率。减肥应用程序可以提供持续的支持并提供创新的干预措施，但要做到这一点，开发者必须确保用户满意度。
本研究的目的是对谷歌应用商店中的应用程序进行综述，以探索用户对减肥和体重跟踪应用程序的喜好和不满之处，并通过分析用户评论来研究定性反馈。
使用“减肥”和“体重跟踪*”等搜索词在谷歌应用商店中搜索和筛选减肥应用程序，共得到179个移动应用程序。基于牛津食物与活动行为分类法进行了内容分析。使用相关性分析来评估移动健康（mHealth）应用程序的复杂性与流行度指标之间的关联。然后对样本进行筛选，以找出主要关注体重跟踪的流行应用程序。对于最终得到的15个体重跟踪应用程序的子集，从谷歌应用商店中抽取了569条用户评论。对用户评论进行了框架和主题分析，以评估用户重视哪些功能以及设计如何影响用户的反应。
减肥应用程序的复杂性（组件数量）与应用程序的评分（r = 0.25；P = 0.001）、评论数量（r = 0.28；P < 0.001）和下载数量（r = 0.48；P < 0.001）显著正相关。相比之下，在对体重跟踪应用程序的定性分析中，用户表示更喜欢简单易用。此外，我们发现通过详细反馈进行的积极强化促进了用户进一步减肥的动力。流畅的功能和可靠的数据存储成为长期使用应用程序的关键前提条件。
体重跟踪应用程序的用户重视简单性，而综合减肥应用程序的用户则欣赏更多功能的可用性，这表明对复杂性的需求因不同目标人群而异。提供关于进展情况的反馈可以激励用户继续尝试减肥。用户重视无缝的功能和可靠的数据存储。
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