Payne Hannah E, Wilkinson Jessica, West Joshua H, Bernhardt Jay M
Department of Health Science, Brigham Young University, Provo, UT 84606, USA.
The University of Texas at Austin, Moody College of Communication, 300 W. Dean Keaton (A0900), Austin, TX 78712, USA.
Mhealth. 2016 Feb 29;2:5. doi: 10.3978/j.issn.2306-9740.2016.02.02. eCollection 2016.
The emergence of Apple's iPhone provides a platform for freelance developers to design third party apps, which greatly expands the functionality and utility of mobile devices for stress management. This study provides a basic overview of the stress management apps under the health and fitness category of the Apple App store and appraises each app's potential for influencing behavior change.
Data for this study came from a content analysis of health and fitness app descriptions available in the App Store on iTunes. Trained research assistants used the Precede-Proceed Model (PPM) as a framework to guide the coding of paid stress management apps and to evaluate each app's potential for effecting health behavior change.
Most apps were rated as being plausible (96.9%) and intending to address stress management (98.5%), but only 63.3% were rated as recommendable to others for their use. Reinforcing apps were less common than predisposing and enabling apps. Less than one percent (0.39%) of apps included all three factors (predisposing, enabling and reinforcing).
Practitioners should be cautious when promoting the use of stress management apps, as most provide only health-related information (predisposing) or suggestions for enabling behavior, but almost none include all three theoretical factors recommended for behavior change.
苹果iPhone的出现为自由开发者设计第三方应用程序提供了一个平台,极大地扩展了移动设备在压力管理方面的功能和用途。本研究对苹果应用商店健康与健身类别下的压力管理应用程序进行了基本概述,并评估了每个应用程序影响行为改变的潜力。
本研究的数据来自对iTunes上应用商店中健康与健身应用描述的内容分析。训练有素的研究助理以“前期-过程模型”(PPM)为框架,指导对付费压力管理应用程序的编码,并评估每个应用程序影响健康行为改变的潜力。
大多数应用程序被评为看似合理(96.9%)且旨在解决压力管理问题(98.5%),但只有63.3%的应用程序被评为值得推荐给他人使用。强化类应用程序比倾向类和促成类应用程序少见。不到1%(0.39%)的应用程序包含所有三个因素(倾向、促成和强化)。
从业者在推广使用压力管理应用程序时应谨慎,因为大多数应用程序仅提供与健康相关的信息(倾向)或促成行为的建议,但几乎没有一个应用程序包含行为改变推荐的所有三个理论因素。