Big Data Approach to Characterize Restricted and Repetitive Behaviors in Autism

M Uljarević; TW Frazier; B Jo; WD Billingham; MN Cooper; EA Youngstrom; L Scahill; AY Hardan

Journal article

Big Data Approach to Characterize Restricted and Repetitive Behaviors in Autism

M Uljarević, TW Frazier, B Jo, WD Billingham, MN Cooper, EA Youngstrom, L Scahill, AY Hardan

Journal of the American Academy of Child and Adolescent Psychiatry | Published : 2022

DOI: 10.1016/j.jaac.2021.08.006

Abstract

Objective: Despite being a core diagnostic feature of autism spectrum disorder (ASD), demographic, developmental and clinical correlates of restricted and repetitive behaviors and interests (RRB) remain poorly characterized. This study aimed to utilize the largest available RRB data set to date to provide a comprehensive characterization of how distinct RRB domains vary according to a range of individual characteristics. Method: Data were obtained from 17,581 children and adolescents with ASD (meanage= 8.24 years, SDage= 4.06) from the Simons Foundation Powering Autism Research for Knowledge cohort. Caregivers completed the Repetitive Behavior Scale−Revised questionnaire as a measure of repe..

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University of Melbourne Researchers

Mirko Uljarevic Author

Related Projects (1)

EMOTIONAL AND SOCIO-COMMUNICATIVE DOMAINS IN DEVELOPMENT

This project aims to test whether Research Domain Criteria are effective in predicting developmental outcomes, for example educational attai..

Grants

Awarded by National Institutes of Health

Funding Acknowledgements

The study was supported by grant R21MH121876-01 (Hardan and Jo) from the National Institute of Mental Health (NIMH) . Mirko Uljarevic? is currently sup-ported by Australian Research Council Discovery Early Career Researcher Award (DE180100632) .