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睡眠测量的一致性——睡眠日记与三种消费类可穿戴设备的比较。

Agreement of Sleep Measures-A Comparison between a Sleep Diary and Three Consumer Wearable Devices.

机构信息

Fakultät für Humanwissenschaften, Institut für Sportwissenschaft, Universität der Bundeswehr München, 85577 Neubiberg, Germany.

出版信息

Sensors (Basel). 2022 Aug 18;22(16):6189. doi: 10.3390/s22166189.

DOI:10.3390/s22166189
PMID:36015949
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9413956/
Abstract

Nowadays, self-tracking and optimization are widely spread. As sleep is essential for well-being, health, and peak performance, the number of available consumer technologies to assess individual sleep behavior is increasing rapidly. However, little is known about the consumer wearables' usability and reliability for sleep tracking. Therefore, the aim of the present study was to compare the sleep measures of wearable devices with a standardized sleep diary in young healthy adults in free-living conditions. We tracked night sleep from 30 participants (19 females, 11 males; 24.3 ± 4.2 years old). Each wore three wearables and simultaneously assessed individual sleep patterns for four consecutive nights. Wearables and diaries correlated substantially regarding time in bed (Range CCC: 0.74-0.84) and total sleep time (Range CCC: 0.76-0.85). There was no sufficient agreement regarding the measures of sleep efficiency (Range CCC: 0.05-0.34) and sleep interruptions (Range CCC: -0.02-0.10). Finally, these results show wearables to be an easy-to-handle, time- and cost-efficient alternative to tracking sleep in healthy populations. Future research should develop and empirically test the usability of such consumer sleep technologies.

摘要

如今,自我追踪和优化已经广泛普及。由于睡眠对幸福感、健康和最佳表现至关重要,因此评估个体睡眠行为的可用消费者技术数量正在迅速增加。然而,对于睡眠追踪而言,消费者可穿戴设备的可用性和可靠性知之甚少。因此,本研究的目的是在自由生活条件下比较可穿戴设备与标准化睡眠日记在年轻健康成年人中的睡眠测量值。我们对 30 名参与者(19 名女性,11 名男性;24.3 ± 4.2 岁)的夜间睡眠进行了追踪。每位参与者佩戴了三个可穿戴设备,并在连续四个晚上同时评估个人的睡眠模式。可穿戴设备和日记之间在卧床时间(范围 CCC:0.74-0.84)和总睡眠时间(范围 CCC:0.76-0.85)方面具有实质性相关性。然而,在睡眠效率(范围 CCC:0.05-0.34)和睡眠中断(范围 CCC:-0.02-0.10)方面,这些测量值之间没有足够的一致性。最后,这些结果表明,可穿戴设备是一种易于操作、省时且经济高效的替代方法,可用于追踪健康人群的睡眠。未来的研究应该开发和实证检验此类消费者睡眠技术的可用性。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/9413956/be3c9038b241/sensors-22-06189-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/9413956/1208c90740cf/sensors-22-06189-g011.jpg
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