Predictors for achieving optimal sleep in healthy children: Exploring sleep patterns in a sleep extension trial

IF 3.4 2区 医学 Q2 CLINICAL NEUROLOGY Sleep Health Pub Date : 2024-04-01 DOI:10.1016/j.sleh.2023.09.012
Barbara C. Galland PhD , Jillian J. Haszard PhD , Rosie Jackson MDiet , Silke Morrison PhD , Kim Meredith-Jones PhD , Dawn E. Elder FRACP, PhD , Dean Beebe PhD , Rachael W. Taylor PhD
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Abstract

Study objectives

Earlier bedtimes can help some children get more sleep, but we don’t know which children, or what features of their usual sleep patterns could predict success with this approach. Using data from a randomized crossover trial of sleep manipulation, we sought to determine this.

Methods

Participants were 99 children aged 8-12 years (49.5% female) with no sleep disturbances. Sleep was measured by actigraphy at baseline and over a restriction or extension week (1 hour later or earlier bedtime respectively), randomly allocated and separated by a washout week. Data were compared between baseline (week 1) and extension weeks only (week 3 or 5), using linear or logistic regression analyses as appropriate, controlling for randomization order.

Results

One hour less total sleep time than average at baseline predicted 29.7 minutes (95% CI: 19.4, 40.1) of sleep gained and 3.45 (95% CI: 1.74, 6.81) times higher odds of successfully extending sleep by >30 minutes. Per standardized variable, less total sleep time and a shorter sleep period time were the strongest predictors (significant odds ratios (ORs) of 2.51 and 2.28, respectively). Later sleep offset, more variability in sleep timing and lower sleep efficiency also predicted sleep gains. The sleep period time cut-point that optimized prediction of successful sleep gains was <8 hours 28 minutes with 75% of children’s baseline sleep in that range.

Conclusions

Children with a baseline sleep period time <8½ hours a night obtained the most sleep from earlier bedtimes maintained over a week, demonstrating experimentally the value of earlier bedtimes to improve sleep.

Clinical Trials Registry

Australian New Zealand Clinical Trial Registry, ACTRN12618001671257, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367587&isReview=true.

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健康儿童获得最佳睡眠的预测因素:在睡眠延长试验中探索睡眠模式。
研究目标:早睡可以帮助一些孩子获得更多的睡眠,但我们不知道哪些孩子,或者他们通常睡眠模式的哪些特征可以预测这种方法的成功。我们利用睡眠操纵的随机交叉试验的数据,试图确定这一点。方法:研究对象为99名8-12岁无睡眠障碍的儿童(女性49.5%)。通过活动记录仪在基线和限制或延长周(分别晚1小时或早1小时就寝)测量睡眠,随机分配并通过洗脱周分开。数据在基线(第1周)和延长周(第3或5周)之间进行比较,酌情使用线性或逻辑回归分析,控制随机化顺序。结果:总睡眠时间比基线平均睡眠时间少一个小时,预计睡眠时间增加29.7分钟(95% CI: 19.4, 40.1),成功延长睡眠时间的几率增加3.45倍(95% CI: 1.74, 6.81)。每个标准化变量,总睡眠时间较少和睡眠时间较短是最强的预测因子(显著优势比(or)分别为2.51和2.28)。较晚的睡眠抵消、睡眠时间的多变性和较低的睡眠效率也预示着睡眠增加。结论:具有基线睡眠时间的儿童临床试验注册:澳大利亚新西兰临床试验注册,ACTRN12618001671257, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367587&isReview=true。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sleep Health
Sleep Health CLINICAL NEUROLOGY-
CiteScore
6.30
自引率
9.80%
发文量
114
审稿时长
54 days
期刊介绍: Sleep Health Journal of the National Sleep Foundation is a multidisciplinary journal that explores sleep''s role in population health and elucidates the social science perspective on sleep and health. Aligned with the National Sleep Foundation''s global authoritative, evidence-based voice for sleep health, the journal serves as the foremost publication for manuscripts that advance the sleep health of all members of society.The scope of the journal extends across diverse sleep-related fields, including anthropology, education, health services research, human development, international health, law, mental health, nursing, nutrition, psychology, public health, public policy, fatigue management, transportation, social work, and sociology. The journal welcomes original research articles, review articles, brief reports, special articles, letters to the editor, editorials, and commentaries.
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