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Tytuł pozycji:

Behaviorally-determined sleep phenotypes are robustly associated with adaptive functioning in individuals with low functioning autism.

Tytuł:
Behaviorally-determined sleep phenotypes are robustly associated with adaptive functioning in individuals with low functioning autism.
Autorzy:
Cohen S; Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.
Fulcher BD; Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.
Rajaratnam SMW; Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, USA.; Division of Sleep Medicine, Harvard Medical School, Boston, USA.
Conduit R; School of Health Sciences, Royal Melbourne Institute of Technology, Melbourne, Australia.
Sullivan JP; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, USA.
Hilaire MAS; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, USA.; Division of Sleep Medicine, Harvard Medical School, Boston, USA.
Phillips AJ; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, USA.; Division of Sleep Medicine, Harvard Medical School, Boston, USA.
Loddenkemper T; Division of Sleep Medicine, Harvard Medical School, Boston, USA.; Boston Children's Hospital, Boston, USA.
Kothare SV; Division of Sleep Medicine, Harvard Medical School, Boston, USA.; Boston Children's Hospital, Boston, USA.; New York University Langone Medical School, New York, USA.
McConnell K; New England Center for Children, Southborough, USA.
Ahearn W; New England Center for Children, Southborough, USA.
Braga-Kenyon P; New England Center for Children, Southborough, USA.; Melmark New England, Andover, USA.
Shlesinger A; Melmark New England, Andover, USA.
Potter J; Melmark New England, Andover, USA.
Bird F; Melmark New England, Andover, USA.
Cornish KM; Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.
Lockley SW; Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia. .; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, USA. .; Division of Sleep Medicine, Harvard Medical School, Boston, USA. .
Źródło:
Scientific reports [Sci Rep] 2017 Oct 27; Vol. 7 (1), pp. 14228. Date of Electronic Publication: 2017 Oct 27.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Język:
English
Imprint Name(s):
Original Publication: London : Nature Publishing Group, copyright 2011-
MeSH Terms:
Adaptation, Physiological*
Phenotype*
Sleep*
Autistic Disorder/*physiopathology
Adolescent ; Child ; Female ; Humans ; Male ; Wakefulness
References:
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Grant Information:
R00 HL119618 United States HL NHLBI NIH HHS
Entry Date(s):
Date Created: 20171029 Date Completed: 20190705 Latest Revision: 20240327
Update Code:
20240327
PubMed Central ID:
PMC5660229
DOI:
10.1038/s41598-017-14611-6
PMID:
29079761
Czasopismo naukowe
Despite sleep disturbance being a common complaint in individuals with autism, specific sleep phenotypes and their relationship to adaptive functioning have yet to be identified. This study used cluster analysis to find distinct sleep patterns and relate them to independent measures of adaptive functioning in individuals with autism. Approximately 50,000 nights of care-giver sleep/wake logs were collected on school-days for 106 individuals with low functioning autism (87 boys, 14.77 ± 3.11 years) for 0.5-6 years (2.2 ± 1.5 years) from two residential schools. Using hierarchical cluster analysis, performed on summary statistics of each individual across their recording duration, two clusters of individuals with clearly distinguishable sleep phenotypes were found. The groups were summarized as 'unstable' sleepers (cluster 1, n = 41) and 'stable' sleepers (cluster 2, n = 65), with the former exhibiting reduced sleep duration, earlier sleep offset, and less stability in sleep timing. The sleep clusters displayed significant differences in properties that were not used for clustering, such as intellectual functioning, communication, and socialization, demonstrating that sleep phenotypes are associated with symptom severity in individuals with autism. This study provides foundational evidence for profiling and targeting sleep as a standard part of therapeutic intervention in individuals with autism.

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