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A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study

机译:基于理论的运动应用程序可增强运动坚持性:一项初步研究

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Background Use of mobile health (mHealth) technology is on an exponential rise. mHealth apps have the capability to reach a large number of individuals, but until now have lacked the integration of evidence-based theoretical constructs to increase exercise behavior in users. Objective The purpose of this study was to assess the effectiveness of a theory-based, self-monitoring app on exercise and self-monitoring behavior over 8 weeks. Methods A total of 56 adults (mean age 40 years, SD 13) were randomly assigned to either receive the mHealth app (experimental; n=28) or not to receive the app (control; n=28). All participants engaged in an exercise goal-setting session at baseline. Experimental condition participants received weekly short message service (SMS) text messages grounded in social cognitive theory and were encouraged to self-monitor exercise bouts on the app on a daily basis. Exercise behavior, frequency of self-monitoring exercise behavior, self-efficacy to self-monitor, and self-management of exercise behavior were collected at baseline and at postintervention. Results Engagement in exercise bouts was greater in the experimental condition (mean 7.24, SD 3.40) as compared to the control condition (mean 4.74, SD 3.70, P =.03, d=0.70) at week 8 postintervention. Frequency of self-monitoring increased significantly over the 8-week investigation between the experimental and control conditions ( P 2=.599), with participants in the experimental condition self-monitoring significantly more at postintervention (mean 6.00, SD 0.93) in comparison to those in the control condition (mean 1.95, SD 2.58, P <.001, d=2.10). Self-efficacy to self-monitor and perceived self-management of exercise behavior were unaffected by this intervention. Conclusions The successful integration of social cognitive theory into an mHealth exercise self-monitoring app provides support for future research to feasibly integrate theoretical constructs into existing exercise apps. In addition, findings provide preliminary support for theory-based apps to increase self-monitoring and exercise behavior in comparison to a control, no-app condition.
机译:背景技术移动医疗(mHealth)技术的使用呈指数增长。 mHealth应用程序具有覆盖大量个人的功能,但直到现在,仍缺乏集成基于证据的理论结构来增加用户锻炼行为的能力。目的本研究旨在评估基于理论的自我监测应用程序在8周内对运动和自我监测行为的有效性。方法随机分配56名成年人(平均年龄40岁,SD 13)接受mHealth应用程序(实验性; n = 28)或不接受应用程序(对照组; n = 28)。所有参与者都在基线时参加了运动目标设定会议。实验状态参与者每周都会收到以社交认知理论为基础的短消息服务(SMS)文本消息,并被鼓励每天在应用程序上进行自我监控锻炼。在基线和干预后,收集运动行为,自我监测运动行为的频率,对自我监测的自我效能以及对运动行为的自我管理。结果干预后第8周,在实验条件下(平均7.24,SD 3.40),运动回合的参与度比对照条件下(平均4.74,SD 3.70,P = .03,d = 0.70)要大。在实验和对照条件之间进行的为期8周的调查中,自我监测的频率显着增加(P 2 =。599),干预后干预实验条件的参与者的自我监测显着增加(平均值6.00,SD 0.93)。 )与对照条件下的平均值相比(平均值1.95,SD 2.58,P <.001,d = 2.10)。自我干预的自我效能感和运动行为的自我管理感不受此干预措施的影响。结论将社会认知理论成功集成到mHealth锻炼自我监控应用程序中,为将来的研究将理论结构切实可行地集成到现有锻炼应用程序中提供了支持。此外,研究结果为基于理论的应用程序提供了初步的支持,与无控制的对照条件相比,可以提高自我监测和锻炼行为。

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