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).

中文翻译：

---

家庭环境和睡眠：对于幼儿期的睡眠最重要的是什么。

物理家庭环境被认为在促进幼儿健康睡眠方面发挥着至关重要的作用。然而，人们对物理家庭环境的各种特征与幼儿期睡眠的关系知之甚少，临床医生为改善儿童睡眠环境提出的一些建议也是基于有限的研究证据。本研究调查了观察者和家长对儿童物理家庭环境的描述如何与儿童睡眠相关，通过体动记录仪和家长报告在幼儿期的一年内进行测量。该研究使用机器学习方法（弹性网络回归）来指定物理家庭环境的哪些方面对于预测儿童睡眠、睡眠持续时间、睡眠变异性、睡眠时间、睡眠活动和入睡潜伏期五个方面最重要。该研究纳入了 546 名 30 个月大的幼儿（265 名女性），并在 36 个月和 42 个月大时进行了重新评估。物理家庭环境质量较差与幼儿的睡眠时间较晚、睡眠时间变化较大、睡眠时间较短以及家长报告的睡眠问题较多有关。睡眠最重要的环境预测因素是与成人共用房间、共用床铺以及儿童睡眠空间和更广泛的家庭环境的质量。（PsycInfo 数据库记录 (c) 2022 APA，保留所有权利）。