首页> 美国卫生研究院文献>Translational Behavioral Medicine >BeWell24: development and process evaluation of a smartphone app to improve sleep sedentary and active behaviors in US Veterans with increased metabolic risk
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BeWell24: development and process evaluation of a smartphone app to improve sleep sedentary and active behaviors in US Veterans with increased metabolic risk

机译:BeWell24:开发和改善智能手机 app的过程评估以改善代谢风险增加的美国退伍军人的睡眠久坐和主动行为

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摘要

Lifestyle behaviors across the 24-h spectrum (i.e., sleep, sedentary, and active behaviors) drive metabolic risk. We describe the development and process evaluation of BeWell24, a multicomponent smartphone application (or “app”) that targets behavior change in these interdependent behaviors. A community-embedded iterative design framework was used to develop the app. An 8-week multiphase optimization strategy design study was used to test the initial efficacy of the sleep, sedentary, and exercise components of the app. Process evaluation outcomes included objectively measured app usage statistics (e.g., minutes of usage, self-monitoring patterns), user experience interviews, and satisfaction ratings. Participants (N = 26) logged approximately 60 % of their sleep, sedentary, and exercise behaviors, which took 3–4 min/day to complete. Usage of the sleep and sedentary components peaked at week 2 and remained high throughout the intervention. Exercise component use was low. User experiences were mixed, and overall satisfaction was modest.
机译:在24小时内,生活方式行为(即睡眠,久坐和主动行为)会驱动代谢风险。我们描述了BeWell24的开发和过程评估,BeWell24是针对这些相互依赖行为中的行为变化的多组件智能手机应用程序(或“ app”)。使用社区嵌入的迭代设计框架来开发该应用程序。为期8周的多阶段优化策略设计研究用于测试该应用程序的睡眠,久坐和运动组件的初始功效。流程评估结果包括客观评估的应用使用情况统计信息(例如使用时间,自我监控模式),用户体验访谈和满意度。参与者(N = 26)记录了大约60%的睡眠,久坐和运动行为,每天需要3-4分钟才能完成。睡眠和久坐不动的使用率在第2周达到高峰,并在整个干预过程中保持较高水平。运动成分的使用率很低。用户体验参差不齐,总体满意度适中。

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