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The sleep cycle, an integral part of human health, consists of several stages with distinct characteristics and functions. It begins with a transition from wakefulness to sleep, known as the light sleep phase, followed by the restorative deep sleep phase, essential for physical recovery and growth. The cycle concludes with the Rapid Eye Movement (REM) phase, characterized by high brain activity and vivid dreaming. Insomnia, a prevalent sleep disorder, involves difficulty falling asleep, staying...
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Human Circadian Phenotyping and Diurnal Performance Testing in the Real World
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Estimating dim light melatonin onset time in children using delta changes in melatonin.

Taisuke Eto1,2,3, Shingo Kitamura1, Akiko Shikano4

  • 1Department 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 and Biological Rhythms
|March 25, 2024
PubMed
Summary

This study developed a method to estimate dim light melatonin onset (DLMO) in children using salivary melatonin levels. The mathematical slope method provides a reliable way to determine DLMO, crucial for understanding circadian rhythms.

Keywords:
ChildrenCircadian phaseDim light melatonin onset (DLMO)Estimating methodologies

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Area of Science:

  • Chronobiology
  • Pediatric Sleep Medicine
  • Biomarker Analysis

Background:

  • Dim light melatonin onset (DLMO) is a key indicator of circadian timing.
  • Accurate DLMO estimation is vital for pediatric sleep research and clinical assessment.
  • Current methods may require extensive sampling or complex protocols.

Purpose of the Study:

  • To develop and validate a mathematical method for estimating DLMO in children.
  • To assess the accuracy of DLMO estimation using salivary melatonin concentrations at specific time points.
  • To establish a practical approach for DLMO assessment in pediatric populations.

Main Methods:

  • Saliva samples were collected from 30 children (mean age 10.2 years) under dim light.
  • Melatonin concentrations were measured at multiple time points before and after sleep.
  • Mathematical slopes and multiple regression analysis with leave-one-out cross-validation were used for DLMO estimation.

Main Results:

  • DLMO estimation using mathematical slopes and regression analysis showed significant accuracy.
  • The highest accuracy (ICC=0.726) was achieved using a specific slope calculation at the t20 time point.
  • The developed method demonstrated a reliable correlation between estimated and measured DLMOs.

Conclusions:

  • A novel mathematical method effectively estimates DLMO in children from limited salivary melatonin samples.
  • This approach offers a practical and accurate tool for assessing circadian timing in pediatric research.
  • The findings support the use of salivary melatonin slopes for non-invasive DLMO determination.