Freeman, Nancy

Social Communicative Factors as Predictors of Symptom Severity in Autism Spectrum Disorders

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Creator (cre): Lobban-Shymko, Jan, Thesis advisor (ths): Im-Bolter, Nancie, Degree committee member (dgc): Freeman, Nancy, Degree granting institution (dgg): Trent University
Abstract:

Early diagnosis of autism spectrum disorder (ASD), while providing many benefits, presents challenges to clinicians such as predicting the stability of symptoms. Accurately predicting symptom severity allows clinicians to confidently diagnose and assign the most appropriate treatment. Little research exists to date to predict symptom severity in children with ASD who have not been exposed to treatment. The present file review examined prelinguistic skills as predictors of symptom severity in a group of young children (age: 18 – 64 months) with ASD (n = 199) who had not been exposed to significant levels of treatment. Hierarchical regression analyses demonstrated that of the two core diagnostic features (social communicative deficits and restricted repetitive behaviours), social communicative skills best predicted symptom severity. Furthermore, social communicative gestures predicted symptom severity after age, adaptive behaviour, restricted repetitive behaviours, and functional gestures had been accounted for.

Author Keywords: autism, gestures, predictors, prelinguistic, social communicative, symptom severity

2016