Interindividual and intraindividual variability in adolescent sleep patterns across an entire school term: A pilot study

Interindividual and intraindividual variability in adolescent sleep patterns across an entire school term: A pilot study
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DOI:
10.1016/j.sleh.2019.08.002
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发表时间:
2019-12-01
期刊:
影响因子:
4.1
通讯作者:
Olds, T.
Olds, T.
中科院分区:
医学2区
文献类型:
--
作者:
Blunden, S.;Magee, C.;Olds, T.

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目的:本研究旨在调查青春期男性在 12 周期间(10 周的学期以及学期前后假期)的睡眠模式。设计:强化纵向设计,通过体动记录仪连续 81 天每天收集睡眠数据。地点:南澳大利亚阿德莱德的五所中学。参与者:47 名 14 至 17 岁青春期男性的方便样本。测量:每日睡眠时间、就寝时间、起床时间、睡眠效率通过体动记录仪收集,所有(睡眠效率除外)也通过睡眠日记测量。每周使用抑郁焦虑压力量表 21 (DASS-21) 测量情绪,并使用生活满意度量表 (SWLS) 每周测量幸福感。年龄、体重指数、自我报告的情绪、生活满意度和基线(学期前假期周)评估的睡眠类型偏好均被纳入作为协变量。结果:动态结构方程模型表明所有睡眠变量均存在显着但较小的固定效应和随机效应自回归。总的来说,这些发现证明了睡眠模式的日常波动,其幅度因人而异。年龄、晨起和情绪可以预测睡眠随时间变化的一些时间动态,但其他因素(BMI、生活满意度)与睡眠动态无关。结论:本研究利用密集的纵向数据,证明了连续 81 天睡眠模式的个体间和个体内差异。这些发现为青少年睡眠的本质提供了重要而新颖的见解,需要在未来的研究中进一步检验。 (C) 2019 年国家睡眠基金会。由爱思唯尔公司出版。保留所有权利。
Objectives: This study aimed to investigate sleep patterns in adolescent males over a 12-week period (a 10-week school term and pre and post term holidays).Design: intensive longitudinal design, with sleep data collected daily via actigraphy for 81 consecutive days.Setting: Five Secondary Schools in Adelaide, South Australia.Participants: Convenience sample of 47 adolescent males aged 14 to 17 years.Measurements: Daily sleep duration, bedtimes, rise times, and sleep efficiency were collected via actigraphy with all (except sleep efficiency) also measured by sleep diary. Mood was measured weekly with Depression Anxiety Stress Scale-21 (DASS-21) and weekly wellbeing with the Satisfaction with Life Scale (SWLS). Age, body mass index, self-reported mood, life satisfaction, and chronotype preference assessed at baseline (pre-term holiday week) were included as covariates.Results: Dynamic Structural Equation Modeling indicated significant but small fixed-effect and random-effect auto-regressions for all sleep variables. Collectively, these findings demonstrate day-to-day fluctuations in sleep patterns, the magnitude of which varied between individuals. Age, morningness, and mood predicted some of the temporal dynamics in sleep over time but other factors (BMI, life satisfaction) were not associated with sleep dynamics.Conclusions: Using intensive longitudinal data, this study demonstrated inter-individual and intra-individual variation in sleep patterns over 81 consecutive days. These findings provide important and novel insights into the nature of adolescent sleep and require further examination in future studies. (C) 2019 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.