Department of Psychiatry.
Department of Psychological and Brain Sciences.
J Fam Psychol. 2022 Aug;36(5):757-769. doi: 10.1037/fam0000977. Epub 2022 Mar 10.
The physical home environment is thought to play a crucial role in facilitating healthy sleep in young children. However, relatively little is known about how various features of the physical home environment are associated with sleep in early childhood, and some of the recommendations clinicians make for improving child sleep environments are based on limited research evidence. The present study examined how observer and parent descriptions of the child's physical home environment were associated with child sleep, measured using actigraphy and parent's reports, across a year in early childhood. The study used a machine learning approach (elastic net regression) to specify which aspects of the physical home environment were most important for predicting five aspects of child sleep, sleep duration, sleep variability, sleep timing, sleep activity, and latency to fall asleep. The study included 546 toddlers (265 females) recruited at 30 months of age and reassessed at 36 and 42 months of age. Poorer quality physical home environments were associated with later sleep schedules, more variable sleep schedules, shorter sleep durations, and more parent-reported sleep problems in young children. The most important environmental predictors of sleep were room sharing with an adult, bed sharing, and quality of both the child's sleep space and the wider home environment. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
物理家庭环境被认为在促进幼儿健康睡眠方面起着至关重要的作用。然而,人们对物理家庭环境的各种特征如何与幼儿睡眠相关知之甚少,一些临床医生为改善儿童睡眠环境提出的建议是基于有限的研究证据。本研究使用机器学习方法(弹性网络回归)来确定物理家庭环境的哪些方面对预测儿童睡眠的五个方面(睡眠时间、睡眠变异性、睡眠时间、睡眠活动和入睡潜伏期)最为重要,这五个方面的测量均采用活动记录仪和家长报告的方式进行。该研究共纳入了 546 名幼儿(265 名女性),他们在 30 个月大时被招募,并在 36 个月和 42 个月时重新评估。较差的物理家庭环境质量与较晚的睡眠时间表、更可变的睡眠时间表、较短的睡眠时间以及幼儿更多的睡眠问题有关。睡眠的最重要环境预测因素是与成年人共享房间、与成年人同床、儿童的睡眠空间和更广泛的家庭环境的质量。