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A Novel Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer

机译：一种新颖的使用腕式加速度计评估睡眠时间的开放式方法

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Wrist-worn accelerometers are increasingly being used for the assessment of physical activity in population studies, but little is known about their value for sleep assessment. We developed a novel method of assessing sleep duration using data from 4,094 Whitehall II Study (United Kingdom, 2012–2013) participants aged 60–83 who wore the accelerometer for 9 consecutive days, filled in a sleep log and reported sleep duration via questionnaire. Our sleep detection algorithm defined (nocturnal) sleep as a period of sustained inactivity, itself detected as the absence of change in arm angle greater than 5 degrees for 5 minutes or more, during a period recorded as sleep by the participant in their sleep log. The resulting estimate of sleep duration had a moderate (but similar to previous findings) agreement with questionnaire based measures for time in bed, defined as the difference between sleep onset and waking time (kappa = 0.32, 95%CI:0.29,0.34) and total sleep duration (kappa = 0.39, 0.36,0.42). This estimate was lower for time in bed for women, depressed participants, those reporting more insomnia symptoms, and on weekend days. No such group differences were found for total sleep duration. Our algorithm was validated against data from a polysomnography study on 28 persons which found a longer time window and lower angle threshold to have better sensitivity to wakefulness, while the reverse was true for sensitivity to sleep. The novelty of our method is the use of a generic algorithm that will allow comparison between studies rather than a “count” based, device specific method.
机译：腕戴式加速度计在人口研究中正越来越多地用于身体活动的评估，但对于睡眠评估的价值知之甚少。我们开发了一种新的评估睡眠时间的方法，该方法使用了4,094位Whitehall II研究（英国，2012-2013年）的参与者的数据，这些参与者连续9天佩戴了加速计，并连续9天佩戴了加速度计，并通过问卷调查报告了睡眠时间。我们的睡眠检测算法将（夜间）睡眠定义为持续不活动的时间段，其本身被检测为参与者在其睡眠日志中记录为睡眠的时间段内手臂角度大于5度的变化持续5分钟或更长时间。得出的睡眠时间估计与基于问卷的卧床时间量度（与先前的调查结果相符）中等（但与以前的发现相似），定义为睡眠开始与苏醒时间之间的差异（kappa = 0.32，95％CI：0.29，0.34），总睡眠时间（kappa = 0.39，0.36,0.42）。对于妇女，沮丧的参与者，报告更多失眠症状的人以及周末，卧床时间的估计值较低。没有发现总睡眠时间的这种群体差异。我们的算法已针对来自28位患者的多导睡眠监测研究数据进行了验证，该研究发现较长的时间范围和较低的角度阈值对觉醒具有更好的敏感性，而对睡眠的敏感性则相反。我们方法的新颖性在于使用了通用算法，该算法将允许在研究之间进行比较，而不是基于“计数”的设备特定方法。

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