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ORIGINAL RESEARCH article

Front. Psychiatry
Sec. Autism
Volume 15 - 2024 | doi: 10.3389/fpsyt.2024.1411783
This article is part of the Research Topic Autism Spectrum Disorders: Developmental Trajectories, Neurobiological Basis, Treatment Update, Volume III View all 5 articles

Autism, intelligence, language, and adaptive behavior, disentangling a complex relationship

Provisionally accepted
Chiara Failla Chiara Failla 1,2Ileana Scarcella Ileana Scarcella 1,3Noemi Vetrano Noemi Vetrano 1,4Serena Previti Serena Previti 1Rita M. Mangano Rita M. Mangano 1Gennaro Tartarisco Gennaro Tartarisco 1David Vagni David Vagni 1*Giovanni Pioggia Giovanni Pioggia 1Flavia Marino Flavia Marino 1
  • 1 Institute for Biomedical Research and Innovation, National Research Council (CNR), Palermo, Sicily, Italy
  • 2 Classical Linguistic Studies and Education Department, Kore University of Enna, Enna, Sicily, Italy
  • 3 Faculty of Psychology, Uninettuno Telematic International University, Rome, Sicily, Italy
  • 4 Department of Cognitive, Psychological Science and Cultural Studies, University of Messina, Messina, Sicilia, Italy

The final, formatted version of the article will be published soon.

    Introduction: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterized by a range of intellectual and language abilities. Its heterogeneity is acknowledged in modern diagnostics, complicating research and necessitating precision medicine and a multidimensional approach for individualized treatment and accurate assessment. Intellectual and language functioning influence adaptive skills and symptomatology. Thus, assessing adaptive functioning in a multidimensional and multi-informant manner is crucial, highlighting the importance of comprehensive evaluations. This study explores the interplay between autistic traits, demographic variables, IQ, adaptive functioning, and the applicability of ICD-11 classifications.We analyzed data from the initial global evaluation of 60 diverse autistic children (aged 35 to 120 months; IQ range 16 to 118). Parent-reports using the Vineland Adaptive Behavior Scale (VABS-II) were compared with standardized assessments from the PsychoEducational Profile (PEP-3). Children's intellectual levels were assessed using Griffiths Scales of Child Development (Griffiths III) and the Autism Diagnostic Observation Schedule (ADOS-2) was used for autistic traits. They were further classified according to the ICD-11 diagnostic system, functional language, and intellectual functioning levels. Correlations among variables, group comparisons, and multivariate analyses were performed.The analysis indicates a linear effect of IQ on all adaptive scales and the impact of autistic traits on directly measured adaptive functioning. A factorial effect was observed due to changes concerning specific age, intellectual, and linguistic levels, which do not completely align with ICD-11 categorization. Additionally, a negative correlation between intelligence and measured autistic traits was found. Parental age, education level, and age at childbirth were also found to affect various adaptive scales.The study questions the ICD-11's proposed distinctions in IQ and language functioning for ASD, advocating for more refined categorization and developmental considerations. It underscores the intricate relationship between autistic traits, IQ, and communication skills, casting doubt on the precision of diagnostic tools across the spectrum. Parental reports and direct assessments are essential for comprehensive evaluation, with parental education and age influencing children's behaviors and skills. The study calls for a nuanced approach to ASD assessment, integrating various metrics and sources of information for a detailed phenotyping necessary for personalized interventions and biological research.

    Keywords: Adaptive Behavior, adaptive functioning, autism, cognitive development, Intelligence quotient, ICD-11 classification, functional language, Parental age

    Received: 03 Apr 2024; Accepted: 14 Oct 2024.

    Copyright: © 2024 Failla, Scarcella, Vetrano, Previti, Mangano, Tartarisco, Vagni, Pioggia and Marino. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: David Vagni, Institute for Biomedical Research and Innovation, National Research Council (CNR), Palermo, 90146, Sicily, Italy

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.