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婴儿睡眠的核心方面有哪些?婴儿期睡眠综合表现的动态变化。

Which are the Central Aspects of Infant Sleep? The Dynamics of Sleep Composites across Infancy.

机构信息

Department of Pulmonology, University Hospital Zurich, 8091 Zurich, Switzerland.

Department of Psychology, University of Zurich, 8006 Zurich, Switzerland.

出版信息

Sensors (Basel). 2020 Dec 15;20(24):7188. doi: 10.3390/s20247188.

Abstract

Sleep during infancy is important for the well-being of both infant and parent. Therefore, there is large interest in characterizing infant sleep with reliable tools, for example by combining actigraphy with 24-h-diaries. However, it is critical to select the right variables to characterize sleep. In a longitudinal investigation, we collected sleep data of 152 infants at ages 3, 6, and 12 months. Using principal component analysis, we identified five underlying sleep composites from 48 commonly-used sleep variables: , , , , . These composites accurately reflect known sleep dynamics throughout infancy as (representing naps), (representing sleep efficiency and consolidation), and (representing day-to-day stability) decrease across infancy, while (representing nighttime sleep) slightly increases, and becomes earlier as one ages. We uncover interesting dynamics between the sleep composites and demonstrate that infant sleep is not only highly variable between infants but also dynamic within infants across time. Interestingly, is associated with behavioral development and therefore a potential marker for maturation. We recommend either the use of sleep composites or the core representative variables within each sleep composite for more reliable research.

摘要

婴儿期的睡眠对婴儿和家长的健康都很重要。因此,人们非常有兴趣使用可靠的工具来描述婴儿的睡眠,例如将活动记录仪与 24 小时日记相结合。然而,选择正确的变量来描述睡眠是至关重要的。在一项纵向研究中,我们收集了 152 名婴儿在 3、6 和 12 个月时的睡眠数据。使用主成分分析,我们从 48 个常用的睡眠变量中识别出 5 个潜在的睡眠综合指标:、、、、。这些综合指标准确地反映了整个婴儿期的已知睡眠动态,随着婴儿期的推移,(代表小睡)、(代表睡眠效率和巩固)和(代表日间稳定性)逐渐下降,而(代表夜间睡眠)略有增加,年龄增长时,(代表入睡时间)会提前。我们揭示了睡眠综合指标之间的有趣动态,并证明婴儿的睡眠不仅在不同婴儿之间高度可变,而且在时间上也在婴儿内部动态变化。有趣的是,(代表夜间睡眠)与行为发育有关,因此可能是成熟的标志。我们建议使用睡眠综合指标或每个睡眠综合指标中的核心代表性变量,以获得更可靠的研究结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8af/7765288/9d53356d63b2/sensors-20-07188-g001.jpg

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