Sleep patterns predictive of daytime challenging behavior in individuals with low-functioning autism

Cohen, S, Fulcher, B, Rajaratnam, S and Conduit, R., et al, 2018, 'Sleep patterns predictive of daytime challenging behavior in individuals with low-functioning autism', Autism Research, vol. 11, no. 2, pp. 391-403.


Document type: Journal Article
Collection: Journal Articles

Title Sleep patterns predictive of daytime challenging behavior in individuals with low-functioning autism
Author(s) Cohen, S
Fulcher, B
Rajaratnam, S
Conduit, R., et al,
Year 2018
Journal name Autism Research
Volume number 11
Issue number 2
Start page 391
End page 403
Total pages 13
Publisher John Wiley & Sons
Abstract Increased severity of problematic daytime behavior has been associated with poorer sleep quality in individuals with autism spectrum disorder. In this work, we investigate whether this relationship holds in a real-time setting, such that an individual's prior sleep can be used to predict their subsequent daytime behavior. We analyzed an extensive real-world dataset containing over 20,000 nightly sleep observations matched to subsequent challenging daytime behaviors (aggression, self-injury, tantrums, property destruction and a challenging behavior index) across 67 individuals with low-functioning autism living in two U.S. residential facilities. Using support vector machine classifiers, a statistically significant predictive relationship was found in 81% of individuals studied (P < 0.05). For all five behaviors examined, prediction accuracy increased up to approximately eight nights of prior sleep used to make the prediction, indicating that the behavioral effects of sleep may manifest on extended timescales. Accurate prediction was most strongly driven by sleep variability measures, highlighting the importance of regular sleep patterns. Our findings constitute an initial step towards the development of a real-time monitoring tool to pre-empt behavioral episodes and guide prophylactic treatment for individuals with autism.
Subject Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology)
Health, Clinical and Counselling Psychology
Developmental Psychology and Ageing
Keyword(s) autism spectrum disorder
challenging behavior
intellectual disability
machine learning
sleep
DOI - identifier 10.1002/aur.1899
Copyright notice © 2017 International Society for Autism Research, Wiley Periodicals, Inc.
ISSN 1939-3792
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 10 Abstract Views  -  Detailed Statistics
Created: Thu, 21 Feb 2019, 12:10:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us