Arizona State University, Phoenix, AZ, USA.
IBM Research, Yorktown Heights, NY, USA.
J Behav Med. 2024 Oct;47(5):751-769. doi: 10.1007/s10865-024-00492-4. Epub 2024 May 5.
The purpose of this study was to: (1) compare the relative efficacy of different combinations of three behavioral intervention strategies (i.e., personalized reminders, financial incentives, and anchoring) for establishing physical activity habits using an mHealth app and (2) to examine the effects of these different combined interventions on intrinsic motivation for physical activity and daily walking habit strength. A four-arm randomized controlled trial was conducted in a sample of college students (N = 161) who had a self-reported personal wellness goal of increasing their physical activity. Receiving cue-contingent financial incentives (i.e., incentives conditional on performing physical activity within ± one hour of a prespecified physical activity cue) combined with anchoring resulted in the highest daily step counts and greatest odds of temporally consistent walking during both the four-week intervention and the full eight-week study period. Cue-contingent financial incentives were also more successful at increasing physical activity and maintaining these effects post-intervention than traditional non-cue-contingent incentives. There were no differences in intrinsic motivation or habit strength between study groups at any time point. Financial incentives, particularly cue-contingent incentives, can be effectively used to support the anchoring intervention strategy for establishing physical activity habits. Moreover, mHealth apps are a feasible method for delivering the combined intervention technique of financial incentives with anchoring.
(1) 使用移动健康应用程序比较三种行为干预策略(即个性化提醒、经济激励和锚定)不同组合在建立身体活动习惯方面的相对效果;(2) 检验这些不同组合干预对身体活动内在动机和日常步行习惯强度的影响。在一个有自我报告个人健康目标(即增加身体活动)的大学生样本中进行了一项四臂随机对照试验(N = 161)。接收与线索相关的经济激励(即,与在预定身体活动线索后一小时内进行身体活动相关的激励)与锚定相结合,可在四周干预和整个八周研究期间实现最高的每日步数和最有可能的时间一致的步行。与传统的非线索相关的激励相比,与线索相关的经济激励在增加身体活动和维持这些干预后效果方面也更为成功。在任何时间点,研究组之间的内在动机或习惯强度都没有差异。经济激励,特别是与线索相关的激励,可以有效地用于支持建立身体活动习惯的锚定干预策略。此外,移动健康应用程序是一种可行的方法,可将经济激励与锚定相结合的联合干预技术进行传递。