Brigham Young University, Provo, UT 84602, USA.
Health Educ Behav. 2013 Apr;40(2):133-9. doi: 10.1177/1090198112452126. Epub 2012 Sep 17.
To quantify the presence of health behavior theory constructs in iPhone apps targeting physical activity.
This study used a content analysis of 127 apps from Apple's (App Store) Health & Fitness category. Coders downloaded the apps and then used an established theory-based instrument to rate each app's inclusion of theoretical constructs from prominent behavior change theories. Five common items were used to measure 20 theoretical constructs, for a total of 100 items. A theory score was calculated for each app. Multiple regression analysis was used to identify factors associated with higher theory scores.
Apps were generally observed to be lacking in theoretical content. Theory scores ranged from 1 to 28 on a 100-point scale. The health belief model was the most prevalent theory, accounting for 32% of all constructs. Regression analyses indicated that higher priced apps and apps that addressed a broader activity spectrum were associated with higher total theory scores.
It is not unexpected that apps contained only minimal theoretical content, given that app developers come from a variety of backgrounds and many are not trained in the application of health behavior theory. The relationship between price and theory score corroborates research indicating that higher quality apps are more expensive. There is an opportunity for health and behavior change experts to partner with app developers to incorporate behavior change theories into the development of apps. These future collaborations between health behavior change experts and app developers could foster apps superior in both theory and programming possibly resulting in better health outcomes.
量化针对身体活动的 iPhone 应用程序中存在的健康行为理论结构。
本研究对来自苹果(App Store)健康与健身类别的 127 个应用程序进行了内容分析。编码人员下载了这些应用程序,然后使用既定的基于理论的工具来评估每个应用程序对来自知名行为改变理论的理论结构的包含程度。使用五个常见项目来衡量 20 个理论结构,总共 100 个项目。为每个应用程序计算了一个理论分数。多元回归分析用于确定与更高理论分数相关的因素。
应用程序通常在理论内容方面存在不足。理论分数在 100 分制的 1 到 28 之间。健康信念模型是最普遍的理论,占所有结构的 32%。回归分析表明,价格较高的应用程序和针对更广泛活动范围的应用程序与更高的总体理论分数相关。
考虑到应用程序开发者来自各种背景,并且许多人没有接受过健康行为理论的应用培训,因此应用程序仅包含最少的理论内容并不意外。价格与理论分数之间的关系证实了研究结果,即质量更高的应用程序更昂贵。健康和行为改变专家有机会与应用程序开发者合作,将行为改变理论纳入应用程序的开发。这些健康行为改变专家和应用程序开发者之间的未来合作可能会开发出在理论和编程方面都更出色的应用程序,从而可能带来更好的健康结果。