Evaluation of Mobile Intermittent Fasting Applications in Chinese App Stores: Quality Evaluations and Content Analysis.

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Laihao Fang, Cheng Huang, Bing Lin, Kuanlin Lei, Jiazhen Zhou, Xiaoni Zhong, Yanbing Liu, Jiaxiu Liu
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引用次数: 0

Abstract

Background: Obesity and related disorders are rising globally, especially in China, where they are linked to chronic diseases like diabetes and cardiovascular issues. As intermittent fasting (IF) gains popularity for weight management, the use of IF apps has increased, yet their quality varies significantly. A systematic evaluation of these apps is essential to assess their effectiveness and reliability.

Objective: This study aimed to conduct a comprehensive evaluation of IF apps available in the Chinese mobile app market. We concentrated on evaluating their features, quality, and overall user experience to help users avoid low-quality options and direct app developers to enhance their offers.

Methods: A systematic search was performed across 5 major app stores in China, including the Apple App Store, Huawei AppGallery, Oppo Software Store, Vivo App Store, and Xiaomi Market. "Fasting", "Intermittent Fasting", "Time-Restricted Feeding", "Time-Restricted Fasting", "Time-Restricted Eating" and "Meal Skipping" were used as keywords to identify relevant apps, which were then screened based on inclusion and exclusion criteria. The evaluation was conducted using the user version of the Mobile Application Rating Scale (uMARS). The uMARS assessment examined 4 key subscales: engagement, functionality, aesthetics, and information. Each app was independently evaluated by 2 raters who underwent uniform training to ensure consistency in scoring.

Results: A total of 35 apps were assessed for the study. These apps mostly contain features such as fasting timer (100.0%), recording weight (97.14%), fasting reminder (85.71%), and recording water intake (85.71%). All of the apps have an obvious privacy protection. Most of the apps (79%) have tools for quantifying users' health status. The results showed that the overall average uMARS score across the apps was 4.35 (SD 0.51). The subscale scores were as follows: engagement 4.42 (SD 0.47), functionality 4.65 (SD 0.31), aesthetics 4.19 (SD 0.64), and information 4.15 (SD 0.58). The functionality subscale had the highest mean score, while the aesthetic subscale showed the greatest range of scores, from 2.17 to 5.00. The overall uMARS score was significantly positively correlated with the subscale scores (r=0.786-0.953, P<.001). The user ratings in the app stores did not significantly correlate with the uMARS overall scores (r=-0.290, P=.091). Strong inter-rater reliability was confirmed by intraclass correlation coefficients (ICC=0.809-0.909 across subscales).

Conclusions: All the apps reveal high overall quality but gaps in professional engagement and social features. Limited clinical input may undermine the evidence-based accuracy and long-term applicability of some apps. Developers are encouraged to collaborate with health care professionals to enhance content reliability and incorporate social features to boost user engagement, while ensuring robust privacy protections and reasonable use of artificial intelligence.

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中国应用商店中移动间歇性禁食应用的评价:质量评价和内容分析。
背景:肥胖及相关疾病在全球范围内呈上升趋势,尤其是在中国,肥胖与糖尿病和心血管疾病等慢性疾病有关。随着间歇性禁食(IF)在体重管理方面的普及,间歇性禁食应用程序的使用也在增加,但它们的质量差异很大。对这些应用程序进行系统评估对于评估其有效性和可靠性至关重要。目的:本研究旨在对中国移动应用市场上现有的IF应用进行综合评估。我们专注于评估它们的功能、质量和整体用户体验,以帮助用户避免低质量的选择,并指导应用开发者改善他们的产品。方法:系统搜索中国五大应用商店,包括苹果应用商店、华为应用画廊、Oppo软件商店、Vivo应用商店和小米市场。以“禁食”、“间歇性禁食”、“限时进食”、“限时禁食”、“限时进食”和“不吃饭”作为关键词识别相关应用,然后根据纳入和排除标准对其进行筛选。评估采用用户版移动应用评定量表(uMARS)进行。uMARS评估检查了4个关键子量表:参与度、功能、美学和信息。每个应用程序由2名评分员独立评估,他们接受了统一的培训,以确保评分的一致性。结果:研究共评估了35个应用程序。这些应用程序大多包含禁食计时器(100.0%)、记录体重(97.14%)、禁食提醒(85.71%)和记录饮水量(85.71%)等功能。所有的应用程序都有明显的隐私保护。大多数应用程序(79%)都有量化用户健康状况的工具。结果显示,所有应用程序的总体平均uMARS得分为4.35(标准差为0.51)。子量表得分如下:参与4.42 (SD 0.47),功能4.65 (SD 0.31),美学4.19 (SD 0.64),信息4.15 (SD 0.58)。功能分量表的平均得分最高,而审美分量表的得分范围最大,从2.17到5.00。uMARS总体得分与子量表得分呈显著正相关(r=0.786-0.953)。结论:所有应用程序的整体质量较高,但在专业参与和社交功能方面存在差距。有限的临床输入可能会削弱一些应用程序基于证据的准确性和长期适用性。开发人员被鼓励与医疗保健专业人员合作,以提高内容的可靠性,并结合社交功能来提高用户参与度,同时确保强大的隐私保护和合理使用人工智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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