Characterizing Sleep in Children with Autism Spectrum Disorders: A Multidimensional Approach (original) (raw)

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1Sleep Disorders Division, Department of Neurology and Kennedy Center, Vanderbilt University School of Medicine, Nashville, TN

*Address correspondence to: Beth Malow, MD, MS, Vanderbilt University Medical Center, South Garage Medical Building, Room 2219, 2311 Pierce Avenue, Nashville, TN 37232-3375, Tel: (615) 322-0283; Fax: (615) 936-0223: email: beth.malow@vanderbilt.edu

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2Department of Neurology, University of Michigan Medical School, Ann Arbor, MI

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3Department of Pediatrics, Vanderbilt Children's Hospital, Vanderbilt University School of Medicine, Nashville, TN

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4Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN

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Lynnette M. Henderson, PhD

5Department of Pediatrics and Kennedy Center, Vanderbilt University School of Medicine, Nashville, TN

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5Department of Pediatrics and Kennedy Center, Vanderbilt University School of Medicine, Nashville, TN

Disclosure Statment

This was not an industry supported study. Drs. Malow, Marzec, McGrew, Wang, Henderson, and Stone have indicated no financial conflicts of interest.

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Published:

01 December 2006

Cite

Beth A. Malow, Mary L. Marzec, Susan G. McGrew, Lily Wang, Lynnette M. Henderson, Wendy L. Stone, Characterizing Sleep in Children with Autism Spectrum Disorders: A Multidimensional Approach, Sleep, Volume 29, Issue 12, December 2006, Pages 1563–1571, https://doi.org/10.1093/sleep/29.12.1563
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Abstract

Study Objectives:

To relate parentally reported sleep concerns in autism spectrum disorders (ASD) to polysomnographic (PSG) findings and measures of daytime behavior and autism symptomatology.

Design:

Cross-sectional study involving validated questionnaires, sleep histories and diaries, 2 nights of PSG, and the Autism Diagnostic Observation Schedule (ADOS).

Setting:

Vanderbilt University General Clinical Research Center Sleep Core

Participants:

21 children with ASD and 10 typically developing (TD) children, aged 4–10 years. Children were free of psychotropic medications, with no history of mental retardation or epileptic seizures.

Measurements and Results:

Children with ASD were defined as “good sleepers” (10 children) and “poor sleepers” (11 children) on the basis of parental report; the age-comparable TD children were all reported by their parents to be good sleepers. Poor sleepers with ASD showed prolonged sleep latency and decreased sleep efficiency on night 1 of PSG and differed on insomnia-related subscales of the Children's Sleep Habits Questionnaire (CSHQ; increased sleep onset delay and decreased sleep duration). The good sleepers with ASD did not differ from the TD children in sleep architecture or on CSHQ domains. As compared with ASD good sleepers, the ASD poor sleepers also had higher scores related to affective problems on the Child Behavior Checklist and more problems with reciprocal social interaction on the ADOS.

Conclusions:

Parentally reported sleep concerns of insomnia in children with ASD are substantiated by validated sleep questionnaires and by PSG. Furthermore, good sleepers with ASD showed fewer affective problems and better social interactions than ASD poor sleepers.

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