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Abstract

Objective: Intelligence profile with age and gender differentials analysis and identification of a battery of subscales of intelligence are important for clinical management of ASD problems among children as well as in facilitating placement for remedial and educational services. Hence, this study aims to explore the intelligence quotient (IQ) profile among children with ASD and identify the most important subscales that predict the IQ. Method: The study is based on data collected through an exploratory study of 100 children aged between 3 and 13 years, who were referred to the department of child health and development in a tertiary hospital in Oman between June 2016 - June 2019. Results: Among the participants of this study, 79% were males, resulting in a male: female ratio of 4:1. The mean of full-scale IQ was found to be 68.58±18. The mean of non-verbal IQ (73.5±17.5) was significantly higher than the mean of verbal IQ (65.46±17.6). More than half (61%) of the children were observed to have mild to moderate impairment in IQ level. Conclusion: Age and gender showed no significant association with intelligence level. Regression analysis identified non-verbal fluid reasoning, non-verbal visual-spatial processing, non-verbal working memory and verbal knowledge as the significant predictors of total IQ. The significant dimensions of verbal and non-verbal IQ identified in this study can be used to evaluate difficult cases.  


Keywords: Autism, Oman, Intellectual profile, prediction 

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How to Cite
Al-Mamari, W., Idris, A. B., Gabr, A., Jalees, S., Al-Jabri, M., Abdulraheem, R., Al-Mujaini, A., Islam, M. M., Al-Alawi, M., & Al-Adawi, S. (2021). Intellectual Profiles of Children with Autism Spectrum Disorder: Identification of verbal and nonverbal subscales predicting intellectual quotient. Sultan Qaboos University Medical Journal [SQUMJ], 1(1). https://doi.org/10.18295/squmj.4.2021.001