使用消费级活动设备测量个体内身体活动的变化
1Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United States.
Frontiers in digital health
|September 25, 2023
概括
研究人员现在可以使用追踪器的身体活动变化数据来个性化干预. 这种方法提高了依从性,干预设计和结果测量可靠性,以获得更好的健康结果.
科学领域:
- 行为科学 行为科学
- 运动生理学 运动生理学
- 数字健康数字健康
背景情况:
- 传统的静坐行为和体力活动研究依赖于基线和干预后的比较.
- 消费级活动追踪器提供连续的远程数据收集功能.
- 现有的方法可能无法完全捕捉行为变化动态的细微差别.
研究的目的:
- 在干预研究中引入个体内身体活动变异性作为一种新型测量方法.
- 为了证明个体内身体活动变化的实用性,以定制和增强干预措施.
- 探索这种可变性测量在不同干预阶段的应用.
主要方法:
- 利用活动追踪器的数据来测量个体内身体活动的变化.
- 分析可变性模式以了解行为变化轨迹.
- 建议在干预设计中应用可变性指标的三个用例.
主要成果:
- 在分析干预前时,个体内身体活动的变异性可以预测坚持.
- 可变性数据允许实时评估进展情况和干预调整.
- 干预后的可变性提供了持续的行为变化的可靠衡量标准.
结论:
- 个体内身体活动的变化提供了一个动态和个性化的干预方法.
- 这种测量可以提高干预的坚持,设计,管理和结果的可靠性.
- 利用追踪器数据进行可变性分析,代表了行为干预研究的重大进展.
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