分析电子活动监控器的行为变化和实用特性
Zakkoyya H Lewis1, Maddison Cannon1, Grace Rubio1
1Department of Kinesiology and Health Promotion, College of Science, California State Polytechnic University Pomona, 3801 West Temple Ave., Pomona, CA 91768, USA.
概括
这项研究分析了活动监控器,发现它们平均使用27种行为改变技术. Fitbit和Garmin设备提供了最多的技术来支持健康行为干预.
科学领域:
- 行为科学 行为科学
- 人与计算机的交互
- 医疗卫生技术 技术 技术
背景情况:
- 电子活动监控器越来越多地用于健康研究.
- 了解它们的特征,特别是行为改变技术 (BCT),对于有效的干预设计至关重要.
- 行为改变轮 (BCW) 为规划行为改变干预提供了一个框架.
研究的目的:
- 进行电子活动监控器的内容分析.
- 评估它们的实用特性和编码的行为改变技术 (BCT).
- 为了使发现与BCW干预功能保持一致,以便明智地选择设备.
主要方法:
- 在选定的手腕式电子活动监控器上进行了内容分析.
- 设备被编码为实施的BCT和特定特征.
- 三名程序员至少戴上了一个星期的监视器 (2019年12月至2020年4月).
- 显示器包括Apple Watch Nike,Fitbit模型,Garmin模型,Amazfit Bip,Galaxy Watch Active和Withings Steel HR. 这些都是我们使用的.
主要成果:
- 所有审查的监视器都与手机/平板电脑配对,跟踪运动,并被戴在手腕上.
- 平均而言,监测人员实施了27次BCT.
- 在多个BCW干预功能中,Fitbit设备实现了最高数量的BCT.
- 嘉明设备实施的BCT数量第二高.
结论:
- 电子活动监控器包含大量的BCT.
- Fitbit和Garmin设备提供了更广泛的与干预功能相关的BCT.
- 研究人员可以利用这种分析来选择适当的活动监测器,以满足他们的特定研究需求和干预目标.
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