Associations between a novel measure of sleep health and cognitive functioning in middle childhood: a crosssectional Environmental Influences on Child Health Outcomes cohort study.

Joshua Marchant, Matthew Ferrell, Yingjia Wei, Kelly Baron, Courtney K Blackwell, Anat Sigal, Sarah Geiger, Susan L Schantz, Tina Hartert, Rachel S Kelly, Hooman Mirzakhani, Amy Elliott, Jody Ganiban, Dana Dabelea, Jonika Hash, Joseph B Stanford
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Abstract

Study objectives: Research linking children's sleep to cognitive outcomes is inconsistent and has largely focused on one aspect of sleep, such as duration, rather than measuring multiple dimensions of sleep health. We hypothesized that children's sleep health would be positively associated with inhibitory control and cognitive functioning.

Method: We cross-sectionally assessed 1595 participants (ages 7-11) from the Environmental influences on Child Health Outcomes cohort using the NIH Toolbox Cognition Battery, Environmental influences on Child Health Outcomes Sleep Health of Children and Adolescents questionnaire, and Patient Reported Outcome Measurement Information System Sleep Disturbance/Sleep-related Impairment instruments. We created a novel scale measuring sleep health using dichotomous "good-bad" cutoffs for sleep duration, timing, latency, satisfaction, and alertness. We used generalized estimating equations and random forest models to examine associations between sleep health and inhibitory control, working memory, processing speed, cognitive flexibility, episodic memory, reading decoding, and receptive vocabulary.

Results: Sleep health did not have statistically significant associations with any aspect of cognitive functioning. Notably, over 75 per cent of our sample had good sleep health.

Conclusions: This study assessed sleep health as a multi-faceted construct, distinguishing between "good" and "poor" sleep health across several domains. The absence of statistically significant associations between sleep health and cognitive functioning suggests children's cognitive functioning may not be cross-sectionally related to multidimensional sleep health measures. Experimentally manipulating key sleep domains such as duration or timing (as done in prior research) may be more robust. Future research might benefit from examining the cumulative impact of poor sleep health over time.

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儿童中期睡眠健康和认知功能的新测量方法之间的关联:横断面环境对儿童健康结果的影响队列研究
研究目标:将儿童睡眠与认知结果联系起来的研究并不一致,而且主要集中在睡眠的一个方面,比如持续时间,而不是测量睡眠健康的多个维度。我们假设儿童的睡眠健康与抑制控制和认知功能呈正相关。方法:采用美国国立卫生研究院工具箱认知电池、环境对儿童健康结果的影响儿童和青少年睡眠健康问卷以及患者报告结果测量信息系统睡眠障碍/睡眠相关损害工具,对来自环境对儿童健康结果影响队列的1595名参与者(7-11岁)进行横断面评估。我们创建了一种新的测量睡眠健康的量表,使用睡眠持续时间、时间、潜伏期、满意度和警觉性的二分“好-坏”截止值。我们使用广义估计方程和随机森林模型来检验睡眠健康与抑制控制、工作记忆、加工速度、认知灵活性、情景记忆、阅读解码和接受性词汇之间的关系。结果:睡眠健康与认知功能的任何方面都没有统计学上的显著关联。值得注意的是,超过75%的样本拥有良好的睡眠健康。结论:本研究将睡眠健康作为一个多面结构进行评估,在多个领域区分“良好”和“不良”睡眠健康。睡眠健康和认知功能之间没有统计学上的显著关联,这表明儿童的认知功能可能与多维睡眠健康措施没有横断面关系。通过实验操纵关键的睡眠领域,如持续时间或时间(如先前的研究)可能更可靠。未来的研究可能会从检查睡眠健康状况不佳的累积影响中受益。
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