Department of Behavioral Psychology, Kennedy Krieger Institute Baltimore Maryland, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Neurology and Developmental Medicine, Kennedy Krieger Institute Baltimore Maryland, USA.
Sleep Med. 2023 Jul;107:101-107. doi: 10.1016/j.sleep.2023.04.008. Epub 2023 Apr 20.
Sleep disturbances are reported in 62% of children with SYNGAP1-Intellectual Disability (SYNGAP1-ID), a rare neurodevelopmental disorder characterized by intellectual disability, epilepsy, autism spectrum disorder (ASD), sensory and behavioral challenges. Although Children's Sleep Habits Questionnaire (CSHQ) scores are elevated in children with SYNGAP1-ID factors that predict sleep disturbance are not well understood. The goal of this study is to identify predictors of sleep problems.
Parents of 21 children with SYNGAP1-ID completed questionnaires, and 6 children wore the Actiwatch2 for 14 continuous days. Non-parametric analysis of psychometric scales and actigraphy data were performed. Actigraphy derived sleep parameters were compared to controls and rest activity rhythms were assessed using arctools an open-source R package.
CSHQ total sleep scores in children with SYNGAP1-ID and ASD were not different from children with SYNGAP1 without ASD (p = 0.61). Sleep anxiety (β 1.646, 95% CI 0.9566 to 2.336) and parasomnias (β 0.6294, 95% CI 0.06423 to 1.195) were strong predictors of bedtime resistance (R = 0.767, p < 0.001). The sedentary to active transition probability during the 12-18 h epoch (β = 0.004, p = 0.008, R = 0.85) and the duration of the active bout during the 18-24 h epoch (β = 0.166, p = 0.029, R = 0.74) were strong predictors of total sleep disturbance.
The CSHQ may be a reliable measure of sleep difficulties in children with SYNGAP1-ID. Sleep anxiety, parasomnias and difficulty winding-down are significant contributors to sleep disturbances.
患有 SYNGAP1-智力障碍(SYNGAP1-ID)的儿童中有 62%报告存在睡眠障碍,这是一种罕见的神经发育障碍,其特征是智力障碍、癫痫、自闭症谱系障碍(ASD)、感觉和行为挑战。尽管儿童睡眠习惯问卷(CSHQ)在 SYNGAP1-ID 儿童中的评分升高,但预测睡眠障碍的因素尚不清楚。本研究的目的是确定睡眠问题的预测因素。
21 名 SYNGAP1-ID 儿童的父母完成了问卷调查,其中 6 名儿童佩戴 Actiwatch2 连续 14 天。对心理测量量表和活动记录仪数据进行非参数分析。使用开源 R 包 arctools 比较活动记录仪衍生的睡眠参数,并评估休息活动节律。
患有 SYNGAP1-ID 和 ASD 的儿童的 CSHQ 总睡眠评分与没有 ASD 的儿童没有差异(p=0.61)。睡眠焦虑(β 1.646,95%CI 0.9566 至 2.336)和睡眠障碍(β 0.6294,95%CI 0.06423 至 1.195)是入睡抵抗的强烈预测因素(R=0.767,p<0.001)。12-18 小时时段从久坐到活跃的转移概率(β=0.004,p=0.008,R=0.85)和 18-24 小时时段活跃期持续时间(β=0.166,p=0.029,R=0.74)是总睡眠障碍的强烈预测因素。
CSHQ 可能是评估 SYNGAP1-ID 儿童睡眠困难的可靠工具。睡眠焦虑、睡眠障碍和难以放松是睡眠障碍的重要原因。