Initial proof of concept that a consumer wearable can be used for real-time rest-activity rhythm monitoring.
Initial proof of concept that a consumer wearable can be used for real-time rest-activity rhythm monitoring.
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消费者可穿戴设备可用于实时休息活动节律监测的初步概念证明。
DOI：
10.1093/sleep/zsab288
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发表时间：
2022
期刊：
影响因子：
5.6
通讯作者：
Buysse,DanielJ
中科院分区：
文献类型：
--
作者：
Smagula,StephenF;Stahl,SarahT;Krafty,RobertT;Buysse,DanielJ
昼夜休息-活动节律（或RAR）紊乱与主要健康结局（包括抑郁症[1]、痴呆[2]和死亡率[3]）前瞻性相关。这些发现来自观察性研究，无法确定因果关系，但仍然表明某些RAR特征可能导致或预示着不良的健康结果。这种不断增长的证据基础具有转化为实践的潜力，因为RAR可以用腕戴式加速度计被动测量，并且因为RAR可以自愿控制。对RAR紊乱的持续监测可以帮助风险分层和早期风险检测方法，RAR特征可以作为通过干预进行修改的目标。在这份简短的报告中，我们：（1）建议未来的实验性RAR研究和相关的公共卫生/临床应用将受益于具有可扩展的和用户友好的系统进行实时RAR评估/跟踪和（2）提供初始的“概念证明”，消费者可穿戴系统可以提供必要的加速度计数据进行实时RARsassessment.Currently，RAR干扰很少检测或干预治疗实践。一个促成因素可能是缺乏方便用户的评估报告评估系统。科学研究使用研究级加速度计设备测量RAR，这些设备需要专业资源来使用，并且不提供实时信息。在研究中，只有在数据收集完成并通过有线传输到计算机后，才使用统计软件计算高级模型或其他计算来表征RAR。相比之下，市售的消费者可穿戴设备（例如Apple Watch和
Circadian Rest-Activity Rhythm (or RAR) disturbances are prospectively associated with major health outcomes including depression [1], dementia [2], and mortality [3]. These findings are from observational studies that cannot determine causality, but nonetheless suggest that certain RAR characteristics may contribute to or signal poor health outcomes. This growing evidence-base has potential for translation into practice, given that RARs can be passively measured with wristworn accelerometers, and because RARs can be voluntarily controlled. Routinely surveilling for RAR disturbances could aid risk stratification and early risk detection approaches, and RAR characteristics could serve as targets for modification via intervention. In this brief report, we:(1) propose that future experimental RAR research and related public health/clinical applications will benefit from having a scalable and userfriendly system for real-time RAR assessment/tracking and (2) provide initial “proof of concept” that a consumer wearablebased system can provide the requisite accelerometer data for real-time RARs assessments.Currently, RAR disturbances are seldomly detected or intervened upon in therapeutic practice. One contributing factor may be the lack of user-friendly systems for RAR assessment. Scientific studies measure RARs using research-grade accelerometer devices that require specialist resources to use and do not provide real-time information. In research, RARs are characterized using statistical software to compute advanced models or other calculations, only after data collection is complete and transferred to a computer via wire. In contrast, commercially available consumer wearable devices (eg, Apple Watch and