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Intellectual Profile of Children with Autism Spectrum Disorder: Identification of verbal and nonverbal subscales predicting intelligence quotient
OBJECTIVES: This study aimed to explore the intelligence quotient (IQ) profile among children with autism spectrum disorder (ASD) and identify the most important subscales that predict the IQ. The analysis of an intellectual profile with age and gender differentials and the identification of a batte...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sultan Qaboos University Medical Journal, College of Medicine & Health Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407906/ https://www.ncbi.nlm.nih.gov/pubmed/34522403 http://dx.doi.org/10.18295/squmj.4.2021.001 |
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author | Al-Mamari, Watfa Idris, Ahmed B. Gabr, Ahlam Jalees, Saquib Al-Jabri, Muna Abdulrahim, Reem Al-Mujaini, Abeer Islam, M. Mazharul Al-Alawi, Mohamed Al-Adawi, Samir |
author_facet | Al-Mamari, Watfa Idris, Ahmed B. Gabr, Ahlam Jalees, Saquib Al-Jabri, Muna Abdulrahim, Reem Al-Mujaini, Abeer Islam, M. Mazharul Al-Alawi, Mohamed Al-Adawi, Samir |
author_sort | Al-Mamari, Watfa |
collection | PubMed |
description | OBJECTIVES: This study aimed to explore the intelligence quotient (IQ) profile among children with autism spectrum disorder (ASD) and identify the most important subscales that predict the IQ. The analysis of an intellectual profile with age and gender differentials and the identification of a battery of subscales of intelligence are important for clinical management of ASD among children and for facilitating placement for remedial and educational services. METHODS: Data were collected through an exploratory study of 100 children aged between three and 13 years, who were referred to the department of child health and development in Sultan Qaboos University Hospital, a tertiary hospital, in Oman between June 2016 and June 2019. RESULTS: Among the 100 participants of this study, 79% were male, resulting in a male–female ratio of 4:1. The mean of full-scale IQ was found to be 68.6 ± 18.1. Furthermore, the mean of nonverbal IQ (73.5 ± 17.5) was significantly higher than that of verbal IQ (65.5 ± 17.6). Finally, more than half (61%) of the children were observed to have had mild to moderate impairment in their IQ levels. CONCLUSIONS: Age and gender showed no significant association with IQ level. The regression analysis identified nonverbal fluid reasoning, nonverbal visual-spatial processing, nonverbal working memory and verbal knowledge as the significant predictors of total IQ. The crucial dimensions of verbal and nonverbal IQ identified in this study can be used to evaluate complicated cases. |
format | Online Article Text |
id | pubmed-8407906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Sultan Qaboos University Medical Journal, College of Medicine & Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-84079062021-09-13 Intellectual Profile of Children with Autism Spectrum Disorder: Identification of verbal and nonverbal subscales predicting intelligence quotient Al-Mamari, Watfa Idris, Ahmed B. Gabr, Ahlam Jalees, Saquib Al-Jabri, Muna Abdulrahim, Reem Al-Mujaini, Abeer Islam, M. Mazharul Al-Alawi, Mohamed Al-Adawi, Samir Sultan Qaboos Univ Med J Clinical & Basic Research OBJECTIVES: This study aimed to explore the intelligence quotient (IQ) profile among children with autism spectrum disorder (ASD) and identify the most important subscales that predict the IQ. The analysis of an intellectual profile with age and gender differentials and the identification of a battery of subscales of intelligence are important for clinical management of ASD among children and for facilitating placement for remedial and educational services. METHODS: Data were collected through an exploratory study of 100 children aged between three and 13 years, who were referred to the department of child health and development in Sultan Qaboos University Hospital, a tertiary hospital, in Oman between June 2016 and June 2019. RESULTS: Among the 100 participants of this study, 79% were male, resulting in a male–female ratio of 4:1. The mean of full-scale IQ was found to be 68.6 ± 18.1. Furthermore, the mean of nonverbal IQ (73.5 ± 17.5) was significantly higher than that of verbal IQ (65.5 ± 17.6). Finally, more than half (61%) of the children were observed to have had mild to moderate impairment in their IQ levels. CONCLUSIONS: Age and gender showed no significant association with IQ level. The regression analysis identified nonverbal fluid reasoning, nonverbal visual-spatial processing, nonverbal working memory and verbal knowledge as the significant predictors of total IQ. The crucial dimensions of verbal and nonverbal IQ identified in this study can be used to evaluate complicated cases. Sultan Qaboos University Medical Journal, College of Medicine & Health Sciences 2021-08 2021-08-29 /pmc/articles/PMC8407906/ /pubmed/34522403 http://dx.doi.org/10.18295/squmj.4.2021.001 Text en © Copyright 2021, Sultan Qaboos University Medical Journal, All Rights Reserved https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) . |
spellingShingle | Clinical & Basic Research Al-Mamari, Watfa Idris, Ahmed B. Gabr, Ahlam Jalees, Saquib Al-Jabri, Muna Abdulrahim, Reem Al-Mujaini, Abeer Islam, M. Mazharul Al-Alawi, Mohamed Al-Adawi, Samir Intellectual Profile of Children with Autism Spectrum Disorder: Identification of verbal and nonverbal subscales predicting intelligence quotient |
title | Intellectual Profile of Children with Autism Spectrum Disorder: Identification of verbal and nonverbal subscales predicting intelligence quotient |
title_full | Intellectual Profile of Children with Autism Spectrum Disorder: Identification of verbal and nonverbal subscales predicting intelligence quotient |
title_fullStr | Intellectual Profile of Children with Autism Spectrum Disorder: Identification of verbal and nonverbal subscales predicting intelligence quotient |
title_full_unstemmed | Intellectual Profile of Children with Autism Spectrum Disorder: Identification of verbal and nonverbal subscales predicting intelligence quotient |
title_short | Intellectual Profile of Children with Autism Spectrum Disorder: Identification of verbal and nonverbal subscales predicting intelligence quotient |
title_sort | intellectual profile of children with autism spectrum disorder: identification of verbal and nonverbal subscales predicting intelligence quotient |
topic | Clinical & Basic Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407906/ https://www.ncbi.nlm.nih.gov/pubmed/34522403 http://dx.doi.org/10.18295/squmj.4.2021.001 |
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