Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA.
D-Prime LLC, McLean, VA, USA.
Behav Sleep Med. 2024 Sep-Oct;22(5):725-738. doi: 10.1080/15402002.2024.2359413. Epub 2024 Jun 12.
Discrepancies between sleep diaries and sensor-based sleep parameters are widely recognized. This study examined the effect of showing sensor-based sleep parameters while completing a daily diary. The provision of sensor-based data was expected to reduce variance but not change the mean of self-reported sleep parameters, which would in turn align better with sensor-based data compared to a control diary.
In a crossover study, 24 volunteers completed week-long periods of control diary (digital sleep diary without sensor-based data feedback) or integrated diary (diary with device feedback), washout, and then the other diary condition.
The integrated diary reduced self-reported total sleep time (TST) by <10 minutes and reduced variance in TST. The integrated diary did not impact mean sleep onset latency (SOL) and, unexpectedly, the variance in SOL increased. The integrated diary improved both bias and limits of agreement for SOL and TST.
Integration of wearable, sensor-based device data in a sleep diary has little impact on means, mixed evidence for less variance, and better agreement with sensor-based data than a traditional diary. How the diary impacts reporting and sensor-based sleep measurements should be explored.
睡眠日记与基于传感器的睡眠参数之间存在差异，这已得到广泛认可。本研究旨在考察在填写日常日记时提供基于传感器的睡眠参数对其的影响。预计提供基于传感器的数据不仅会减少方差，还会改变自我报告的睡眠参数的平均值，这将使基于传感器的数据与控制日记相比更能保持一致。
在一项交叉研究中，24 名志愿者分别完成为期一周的控制日记（无基于传感器数据反馈的数字睡眠日记）或综合日记（带设备反馈的日记）、洗脱期，然后完成另一日记条件。
综合日记使自我报告的总睡眠时间（TST）减少了不到 10 分钟，并降低了 TST 的方差。综合日记对平均睡眠潜伏期（SOL）没有影响，而且出乎意料的是，SOL 的方差增加了。综合日记改善了 SOL 和 TST 的偏差和一致性界限。
将可穿戴的基于传感器的设备数据整合到睡眠日记中，对平均值的影响很小，对方差的影响则存在混合证据，且与传感器数据的一致性优于传统日记。应进一步探索日记对报告和基于传感器的睡眠测量的影响。
