Sleep Problems and 6-Sulfatoxymelatonin as Possible Predictors of Symptom Severity, Adaptive and Maladaptive Behavior in Children with Autism Spectrum Disorder

Int J Environ Res Public Health. 2022 Jun 21;19(13):7594. doi: 10.3390/ijerph19137594.

Abstract

In children with autism spectrum disorder (ASD), sleep disturbances are a frequent comorbidity with an adverse effect on their behavior and functioning. It was suggested that melatonin deficit is at least partly responsible for the sleep problems. The study aimed to investigate, in a sample of 56 children with ASD aged 2.8-13.3 years, if the sleep problems and melatonin secretion can serve as predictors of adaptive functioning and severity of the ASD core symptoms. We demonstrated that, after adjustment for age, the Sleep score assessed by the Children's Sleep Habits Questionnaire predicts the Adaptive behavior composite score only in children younger than 6 years, and the preferred predictive model is for the domain Socialization. The age-adjusted Sleep score predicted Externalizing and Internalizing maladaptive behavior, with a near-zero contribution of age to the relationship between the Internalizing maladaptive behavior and Sleep score. After adjustment for age, the reduced night-time melatonin secretion predicted a higher severity of ASD symptoms in the domain Social affect and the Calibrated Severity Score, but not the sleep problems. Our results emphasize the importance of assessing sleep problems as a modifiable predictor of behavior in children with ASD and support the hypothesis about the role of melatonin in pathophysiology of ASD.

Keywords: adaptive functioning; autism spectrum disorder; children; core symptoms; melatonin; sleep problems.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Autism Spectrum Disorder*
  • Child
  • Humans
  • Melatonin* / analogs & derivatives
  • Sleep
  • Sleep Wake Disorders* / epidemiology

Substances

  • 6-sulfatoxymelatonin
  • Melatonin

Grants and funding

This research was funded by the Slovak Research and Development Agency (APVV—Agentúra na Podporu Výskumu a Vývoja) grant numbers APVV-20-0139, APVV-20-0070, APVV-20-0114, APVV 18-0174. Data analysis was supported by the Cultural and Educational Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic, KEGA Grant No. 041UK-4/2020.