Intelligence profiles and adaptive behaviors of high-functioning autism spectrum disorder and developmental speech and language disorders

Jin, Wen-Yuan; Wu, Lingling; Hu, Li-Fei; Li, Wenhao; Song, Chao; Wang, Yanyan; Liu, Xiaolin; Zhu, Zhi-Wei

doi:10.3389/fped.2022.972643

Cited by 2 publications

References 43 publications

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Gender and age differences in associations between intelligence structure and adaptive behavior among school-age children with autism spectrum disorder, attention deficit hyperactivity disorder, specific learning disorder and their comorbidities in China

Shao,

Wang,

Song

et al. 2023

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Background Autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), specific learning disorder (SLD), and ADHD + SLD are associated with children’s specific profiles of intellectual functioning and adaptive behavior. The gender and age differences were unclear. Identifying the differences among these disorders will be meaningful for the intervention of school-age children. Methods This study recruited 3203 school-age Chinese children who had been diagnosed from 2017 to 2021 (ASD = 239, ADHD = 1521, SLD = 1067, ADHD + SLD = 196). All of them were assessed with the Wechsler Intelligence Scale for Children-Fourth edition (WISC-Ⅳ) and Adaptive Behavior Assessment System-Second Edition (ABAS-Ⅱ). Results Our study found significant differences in the WISC-Ⅳand ABAS-Ⅱcomposite scores among the four groups, and scores in the ADHD group were the highest. Boys in the ADHD and SLD groups had higher scores in Perceptual Reasoning Index field than girls, while girls in the ADHD and SLD groups had higher scores in Processing Speed Index and Working Memory Index (WMI) field than boys. WMI and Full-scale IQ scores in ADHD group and WMI score in the ADHD + SLD group increased with age before 10, while the Verbal Comprehension Index in ADHD group increased with age from 6 to 15. Conclusions This study further expanded the understanding of the intellectual structure and adaptive behavior of the four disorders. The gender and age differences in intellectual structure provided an important reference for the intervention of school-age children with these disorders, and help them integrate into school and society.

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Gender and age differences in associations between intelligence structure and adaptive behavior among school-age children with autism spectrum disorder, attention deficit hyperactivity disorder, specific learning disorder and their comorbidities in China

Shao,

Wang,

Song

et al. 2023

Preprint

Self Cite

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Flourishing and Functional Difficulties among Autistic Youth: A Confirmatory Factor Analysis

Little,

Schwefel

2024

Children

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The International Classification of Functioning, Disability, and Health for Children and Youth outlines body structures and functions and activities and participation to fully describe elements that support or detract from participation. While flourishing has gained attention in recent literature, research also points to the role of functional difficulties among autistic youth in influencing participation. Clearly, function is a multi-dimensional and complex construct and likely consists of both indicators of flourishing and functional difficulties. We used data from the National Survey of Children’s Health (NSCH) from 2016 to 2020 to identify aspects of flourishing functional difficulties to achieve the following aims: (1) Investigate the factor structure of flourishing and functional difficulties among autistic youth ages 10–17 years; and (2) examine the extent to which child variables (i.e., sex, age, race, ethnicity, autism severity, poverty) are associated with flourishing and functional difficulties. Autistic children (n = 2960) between the ages of 10 and 17 years were included. We used confirmatory factor analysis followed by a multivariate general linear model (GLM) to examine the association between child variables and factors. Results indicated a six-factor structure (medical conditions, instrumental activities of daily living, activities of daily living, social competence, behavioral control, and school motivation) with good model fit (root mean square error of approximation = 0.08 [p = 0.926], comparative fit index = 0.94, Tucker–Lewis index = 0.91). Multivariate GLM showed that child factors were differentially and significantly associated with factors of functional difficulties and flourishing. Current findings suggest that 16 items measured by the NSCH result in a six-factor structure of flourishing and functional difficulties among autistic youth. A comprehensive approach to capture function among autistic youth must assess aspects of flourishing and difficulties.

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Intelligence profiles and adaptive behaviors of high-functioning autism spectrum disorder and developmental speech and language disorders

Cited by 2 publications

References 43 publications

Gender and age differences in associations between intelligence structure and adaptive behavior among school-age children with autism spectrum disorder, attention deficit hyperactivity disorder, specific learning disorder and their comorbidities in China

Gender and age differences in associations between intelligence structure and adaptive behavior among school-age children with autism spectrum disorder, attention deficit hyperactivity disorder, specific learning disorder and their comorbidities in China

Flourishing and Functional Difficulties among Autistic Youth: A Confirmatory Factor Analysis

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