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首页> 外文期刊>JMIR formative research. >A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning (SedVis): Development and Pilot Study
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A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning (SedVis): Development and Pilot Study

机译：通过可视化个人移动模式和行动规划（SEDVIS）来支持久坐行为改变的智能手机应用程序：开发和试验研究

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Background Prolonged sedentary behavior is related to a number of risk factors for chronic diseases. Given the high prevalence of sedentary behavior in daily life, simple yet practical solutions for behavior change are needed to avoid detrimental health effects. Objective The mobile app SedVis was developed based on the health action process approach. The app provides personal mobility pattern visualization (for both physical activity and sedentary behavior) and action planning for sedentary behavior change. The primary aim of the study is to investigate the effect of mobility pattern visualization on users’ action planning for changing their sedentary behavior. The secondary aim is to evaluate user engagement with the visualization and user experience of the app. Methods A 3-week user study was conducted with 16 participants who had the motivation to reduce their sedentary behavior. Participants were allocated to either an active control group (n=8) or an intervention group (n=8). In the 1-week baseline period, none of the participants had access to the functions in the app. In the following 2-week intervention period, only the intervention group was given access to the visualizations, whereas both groups were asked to make action plans every day and reduce their sedentary behavior. Participants’ sedentary behavior was estimated based on the sensor data of their smartphones, and their action plans and interaction with the app were also recorded by the app. Participants’ intention to change their sedentary behavior and user experience of the app were assessed using questionnaires. Results The data were analyzed using both traditional null hypothesis significance testing (NHST) and Bayesian statistics. The results suggested that the visualizations in SedVis had no effect on the participants’ action planning according to both the NHST and Bayesian statistics. The intervention involving visualizations and action planning in SedVis had a positive effect on reducing participants’ sedentary hours, with weak evidence according to Bayesian statistics (Bayes factor, BF+0=1.92; median 0.52; 95% CI 0.04-1.25), whereas no change in sedentary time was more likely in the active control condition (BF+0=0.28; median 0.18; 95% CI 0.01-0.64). Furthermore, Bayesian analysis weakly suggested that the more frequently the users checked the app, the more likely they were to reduce their sedentary behavior (BF?0=1.49; r=?0.50). Conclusions Using a smartphone app to collect data on users’ mobility patterns and provide real-time feedback using visualizations may be a promising method to induce changes in sedentary behavior and may be more effective than action planning alone. Replications with larger samples are needed to confirm these findings.
机译：背景技术延长的久坐性行为与慢性疾病的许多危险因素有关。鉴于日常生活中久坐不动行为的高度普及，需要简单而实际的行为变化解决方案，以避免有害的健康效果。目的是根据健康行动过程方法开发的移动应用程序塞维斯。该应用程序提供个人移动模式可视化（用于身体活动和久坐行为），以及久坐行为发生的行动计划。该研究的主要目的是调查移动性模式可视化对用户行动规划来改变其久坐行为的影响。二次目标是评估用户与应用程序的可视化和用户体验的参与。方法使用16名参与者进行3周的用户学习，该参与者具有减少其久坐行为的动机。将参与者分配给活动对照组（n = 8）或干预组（n = 8）。在1周基准期间，任何参与者都没有访问应用程序中的函数。在接下来的2周干预期间，只有干预组获取可视化，而两个群体被要求每天制定行动计划，并降低他们的久坐行为。根据其智能手机的传感器数据估计参与者的久坐行为，以及应用程序的行动计划和与应用程序的互动也被应用程序记录。参与者的意图改变其久坐行为和应用程序的用户体验是使用调查问卷进行评估的。结果使用传统的空假设意义测试（NHST）和贝叶斯统计来分析数据。结果表明，根据NHST和贝叶斯统计，SEDVIS的可视化对参与者的行动规划没有影响。涉及可视化和行动计划在塞维斯的干预对减少参与者的久坐时间进行积极影响，根据贝叶斯统计数据（贝叶斯因子，BF + 0 = 1.92;中位数0.52; 95％CI 0.04-1.25），而No在主动控制条件下久入时间的变化更可能（BF + 0 = 0.28;中值0.18; 95％CI 0.01-0.64）。此外，贝叶斯分析弱点表明，用户越频繁地检查了应用程序，他们就越有可能降低其久坐行为（BF？0 = 1.49; r = 0.50）。结论使用智能手机应用来收集用户移动模式的数据，并使用可视化提供实时反馈可能是诱导久坐行为变化的有希望的方法，并且可能比单独的行动规划更有效。需要具有较大样本的复制来确认这些发现。

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