Disruption of Circadian Sleep/Wake Rhythms in Infants May Herald Future Development of Autism Spectrum Disorder

Teruhisa Miike1,2, Kentaro Oniki3, Makiko Toyoura1

  • 1Hyogo Rehabilitation Central Hospital, Children's Sleep and Development Medical Research Center, Kobe 651-2181, Japan.

Clocks & Sleep
|March 27, 2024
PubMed

Insights

Infant sleep disturbances like short sleep duration and frequent awakenings may predict future autism spectrum disorder (ASD) development. These abnormal sleep rhythms in early childhood could be key risk factors for ASD.

Area of Science:

  • Developmental Neuroscience
  • Pediatric Sleep Medicine
  • Autism Spectrum Disorder Research

Background:

  • Autism Spectrum Disorder (ASD) is a neurodevelopmental condition with complex etiology.
  • Sleep disturbances are frequently reported in children with ASD, but their role as a potential precursor is less understood.

Purpose of the Study:

  • To investigate the association between infant sleep patterns and the subsequent development of Autism Spectrum Disorder (ASD).
  • To identify specific sleep characteristics in early childhood that may serve as risk factors for ASD.

Main Methods:

  • A case-control study involving 160 children diagnosed with ASD and 145 typically developing children.
  • Parental questionnaires collected data on sleep habits (bedtime, wake time, sleep duration, awakenings) at different age intervals (<1, 1-3, and 3-5 years).
  • Multivariable logistic regression analysis was employed to determine associations between sleep variables and ASD prevalence.

Main Results:

  • Infants with abnormal sleep rhythms, including short sleep duration (<8 hours), prolonged sleep onset latency (>60 minutes), late bedtimes (after 22:00), late wake times (after 08:00), and frequent/long awakenings (>3 times, >60 minutes), showed an increased prevalence of future ASD.
  • These associations were particularly significant at ages under 3 years.

Conclusions:

  • Misalignment or shifts in the infant circadian rhythm may represent a precursor or risk factor for the future development of Autism Spectrum Disorder.
  • Early identification of abnormal infant sleep patterns could aid in understanding ASD etiology and potentially inform early intervention strategies.

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