Enomoto Minori, Eto Taisuke, Kitamura Shingo
Department of Medical Technology, School of Health Sciences, Tokyo University of Technology, 5-23-22, Nishikamata, Ohta-Ku, Tokyo, 144-8535 Japan.
Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo 187-8553 Japan.
Sleep Biol Rhythms. 2024 Jul 9;22(4):523-529. doi: 10.1007/s41105-024-00542-z. eCollection 2024 Oct.
This study aimed to investigate the occurrence and age-related changes of the first night effect (FNE) in school-age children using both macro (sleep architecture) and micro (frequency analysis) structures to polysomnography (PSG) data. PSG data from two consecutive nights were obtained from 38 healthy children aged 6-15 years. Sleep variables and power spectral analysis were compared between the two nights. The relationship between age and the difference in sleep variables and power values between the two nights was examined using correlation analysis. The first night showed significant reductions in total sleep time, sleep efficiency, N1, N2, and REM sleep, as well as significant increases in sleep onset latency and wake after sleep onset. The decrease in N3 and the increase in N2 due to FNE were positively and negatively correlated with age, respectively. Spectral analysis showed no effect of FNE for most variables, but there was a trend toward an increase in the convergence value of the δ band with age. FNE occurs in school-age children, and its manifestation changes with age. The decrease in N3 and increase in N2 become more pronounced with age, while the enhancement of low-frequency power is consistent across ages. These findings highlight the importance of considering age and specific sleep indicators when interpreting pediatric PSG results and underscore the need for a multi-level approach to understanding sleep changes across development.
本研究旨在利用多导睡眠图（PSG）数据的宏观结构（睡眠结构）和微观结构（频率分析），调查学龄儿童首夜效应（FNE）的发生情况及其与年龄相关的变化。从38名6至15岁的健康儿童中获取了连续两晚的PSG数据。比较了两晚之间的睡眠变量和功率谱分析结果。使用相关分析研究了年龄与两晚之间睡眠变量和功率值差异之间的关系。首夜的总睡眠时间、睡眠效率、N1、N2和快速眼动睡眠显著减少，睡眠潜伏期和睡眠中觉醒时间显著增加。由于FNE导致的N3减少和N2增加分别与年龄呈正相关和负相关。频谱分析显示，FNE对大多数变量没有影响，但δ频段的收敛值有随年龄增加的趋势。FNE发生在学龄儿童中，其表现随年龄而变化。N3的减少和N2的增加随年龄增长而更加明显，而低频功率的增强在各年龄段是一致的。这些发现突出了在解释儿科PSG结果时考虑年龄和特定睡眠指标的重要性，并强调了采用多层次方法来理解整个发育过程中睡眠变化的必要性。
