Investigation of macro and micro sleep structures of first night effect in school-aged children.

Sleep Biol Rhythms

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.

Published: October 2024

AI Article Synopsis

  • - This study explored how the first night effect (FNE) impacts sleep patterns in school-age children by analyzing sleep data over two nights from 38 kids aged 6-15 using polysomnography (PSG).
  • - Results showed that on the first night, children had less total sleep time and efficiency, longer time to fall asleep, and less deep sleep (N3), with these effects varying based on age.
  • - The study emphasizes the need to consider age-related changes when assessing sleep quality in children, as the FNE impacts sleep differently as they grow older.

Article Abstract

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11408413PMC
http://dx.doi.org/10.1007/s41105-024-00542-zDOI Listing

Publication Analysis

Top Keywords

sleep
11
school-age children
8
psg data
8
sleep variables
8
variables power
8
spectral analysis
8
sleep onset
8
decrease increase
8
age
6
investigation macro
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!