a Personal Health Group , Philips Group Innovation Research , Eindhoven , The Netherlands.
b Department of Industrial Design , Eindhoven University of Technology , Eindhoven , The Netherlands.
Behav Sleep Med. 2019 Jul-Aug;17(4):388-397. doi: 10.1080/15402002.2017.1376205. Epub 2017 Oct 12.
: This study aimed to establish the determinants of perceived sleep quality over a longer period of time, taking into account the separate contributions of actigraphy-based sleep measures and self-reported sleep indices. : Fifty participants (52 ± 6.6 years; 27 females) completed two consecutive weeks of home monitoring, during which they kept a sleep-wake diary while their sleep was monitored using a wrist-worn actigraph. The diary included questions on perceived sleep quality, sleep-wake information, and additional factors such as well-being and stress. The data were analyzed using multilevel models to compare a model that included only actigraphy-based sleep measures (model Acti) to a model that included only self-reported sleep measures to explain perceived sleep quality (model Self). In addition, a model based on the self-reported sleep measures and extended with nonsleep-related factors was analyzed to find the most significant determinants of perceived sleep quality (model Extended). : Self-reported sleep measures (model Self) explained 61% of the total variance, while actigraphy-based sleep measures (model Acti) only accounted for 41% of the perceived sleep quality. The main predictors in the self-reported model were number of awakenings during the night, sleep onset latency, and wake time after sleep onset. In the extended model, the number of awakenings during the night and total sleep time of the previous night were the strongest determinants of perceived sleep quality, with 64% of the variance explained. : In our cohort, perceived sleep quality was mainly determined by self-reported sleep measures and less by actigraphy-based sleep indices. These data further stress the importance of taking multiple nights into account when trying to understand perceived sleep quality.
: 本研究旨在更长期地确定感知睡眠质量的决定因素,同时考虑基于活动记录仪的睡眠测量和自我报告的睡眠指数的单独贡献。 : 50 名参与者(52±6.6 岁;27 名女性)连续完成了两周的家庭监测,在此期间,他们在佩戴腕戴式活动记录仪监测睡眠的同时记录睡眠-觉醒日记。日记包括对感知睡眠质量、睡眠-觉醒信息以及其他因素(如幸福感和压力)的问题。使用多层模型分析数据,将仅包含基于活动记录仪的睡眠测量的模型(模型 Acti)与仅包含自我报告的睡眠测量的模型(模型 Self)进行比较,以解释感知睡眠质量。此外,还分析了基于自我报告的睡眠测量并扩展了与非睡眠相关因素的模型,以找到感知睡眠质量的最显著决定因素(模型扩展)。 : 自我报告的睡眠测量(模型 Self)解释了总方差的 61%,而基于活动记录仪的睡眠测量(模型 Acti)仅解释了感知睡眠质量的 41%。自我报告模型中的主要预测因素是夜间觉醒次数、入睡潜伏期和睡眠后醒来时间。在扩展模型中,夜间觉醒次数和前一晚的总睡眠时间是感知睡眠质量的最强决定因素,解释了 64%的方差。 : 在我们的队列中,感知睡眠质量主要由自我报告的睡眠测量决定,而基于活动记录仪的睡眠指数的决定作用较小。这些数据进一步强调了在试图理解感知睡眠质量时考虑多个夜晚的重要性。