Behaviour change techniques, intervention features and usability of diet apps

IF 2.4 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Richard Pavlicek , Kevin A. Cradock
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Abstract

Objective

Identify the behaviour change techniques and intervention features in popular diet apps.

Methods

The most popular diet apps were identified from the top 200 ranked apps in the Health & Fitness sections of the App Store and Google Play in September 2023. Selected apps were used for one week and their content analysed for the presence of behaviour change techniques and intervention features. Apps were rated using the Mobile App Rating Scale score.

Results

Thirteen apps with 23 app versions (free & premium) were included. The mean number of behaviour change techniques was 18.3 ± 5.8. The most frequently coded behaviour change techniques were predominantly from the ‘Goals and planning’ and ‘Feedback and monitoring’ categories. Apps contained 21.1 ± 6.1 intervention features and scored a mean Mobile App Rating Scale rating of 3.8 ± 0.3. There was a strong, statistically significant correlation (r = 0.69; p = 0.01) between the number of behaviour change techniques and the Mobile App Rating Scale rating. Analysis identified discrepancies between the Mobile App Rating Scale rating and the App Store and Google Play ranking systems.

Conclusions

Selected apps contained a high number of behaviour change techniques and intervention features. Most included apps lacked an evidence base and safety features. App engagement, optimal use of time, safety features and app ranking systems require further research to provide evidence-based recommendations.
行为改变技术,干预功能和饮食应用程序的可用性
目的:确定流行饮食应用程序的行为改变技术和干预特征。方法从Health &;排名前200的应用程序中确定最受欢迎的减肥应用程序。App Store和b谷歌Play的健身版块将于2023年9月上线。选定的应用程序使用一周,并分析其内容是否存在行为改变技术和干预功能。应用程序使用移动应用评级量表评分。13个应用程序,23个应用程序版本(免费&;保险费)包括在内。行为改变技术的平均次数为18.3±5.8次。最常编码的行为改变技术主要来自“目标和计划”以及“反馈和监控”类别。应用程序包含21.1±6.1个干预功能,平均得分为3.8±0.3。有很强的统计学显著相关性(r = 0.69;p = 0.01),行为改变技术的数量与手机应用评级量表(Mobile App Rating Scale)评分之间存在差异。分析发现了Mobile App Rating Scale评级与App Store和b谷歌Play排名系统之间的差异。结论所选应用程序包含大量的行为改变技术和干预功能。大多数被纳入的应用程序缺乏证据基础和安全功能。应用粘性、最佳时间利用、安全功能和应用排名系统需要进一步研究,以提供基于证据的建议。
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
Preventive Medicine Reports
Preventive Medicine Reports Medicine-Public Health, Environmental and Occupational Health
CiteScore
3.90
自引率
0.00%
发文量
353
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