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Wechsler Intelligence Scale for Adults – Fourth Edition profiles of adults with autism spectrum disorder

AIM: In this study, we have compared 229 Wechsler Adults Intelligence Scale – Fourth Edition (WAIS-IV) cognitive profiles of different severity adults with autism spectrum disorder to verify the impact of several variables including sex, age, level of education and autism severity level in an Italia...

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Autores principales: Cicinelli, G., Nobile, E., Brighenti, S., Bari, S., Tonella, E., Aresi, A., Attanasio, M., Mazza, M., Valenti, M., Keller, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531589/
https://www.ncbi.nlm.nih.gov/pubmed/36148868
http://dx.doi.org/10.1017/S2045796022000506
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author Cicinelli, G.
Nobile, E.
Brighenti, S.
Bari, S.
Tonella, E.
Aresi, A.
Attanasio, M.
Mazza, M.
Valenti, M.
Keller, R.
author_facet Cicinelli, G.
Nobile, E.
Brighenti, S.
Bari, S.
Tonella, E.
Aresi, A.
Attanasio, M.
Mazza, M.
Valenti, M.
Keller, R.
author_sort Cicinelli, G.
collection PubMed
description AIM: In this study, we have compared 229 Wechsler Adults Intelligence Scale – Fourth Edition (WAIS-IV) cognitive profiles of different severity adults with autism spectrum disorder to verify the impact of several variables including sex, age, level of education and autism severity level in an Italian sample. Moreover, we wanted to find out the optimal cut points for the major intelligence quotients in order to discriminate autism severity levels. METHODS: Participants were recruited from two National Health System Center in two different Italian regions and were assessed with gold-standard instruments as a part of their clinical evaluation. According to DSM-5, cognitive domains were also measured with multi-componential tests. We used the Italian adaptation of WAIS-IV. We checked our hypotheses using linear regression models and receiver operating characteristics (ROC) curves. RESULTS: Our results showed that age and level of education have a strong impact on Verbal Comprehension (VCI) and Working Memory Indexes (WMI). Gender differences are relevant when considering the VCI and Processing Speed index (PSI) in which women obtained the best performance. These differences are still relevant when considering cut points of ROC because 69 resulted to be the optimal cut point for women, 65 for men. CONCLUSIONS: Few conclusions can be assumed only examining Full Scale Intelligence Quotient (FSIQ) scores as it includes many different information about broader cognitive abilities. Looking deeper at main indexes and their subtests findings are consistent with previous research on the disorder (moderate correlations of FSIQ, Perceptual Reasoning index, WMI and PSI with the participants’ age), while other results are unforeseen (no effect of sex found on FSIQ score) or novel (significant effect of education on VCI and WMI). Using an algorithm predicting optimal cut point for discriminating through autism severity levels can help clinicians to better label and quantify the required help a person may need, a test cannot replace diagnostic and clinical evaluation by experienced clinicians.
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spelling pubmed-95315892022-10-17 Wechsler Intelligence Scale for Adults – Fourth Edition profiles of adults with autism spectrum disorder Cicinelli, G. Nobile, E. Brighenti, S. Bari, S. Tonella, E. Aresi, A. Attanasio, M. Mazza, M. Valenti, M. Keller, R. Epidemiol Psychiatr Sci Original Article AIM: In this study, we have compared 229 Wechsler Adults Intelligence Scale – Fourth Edition (WAIS-IV) cognitive profiles of different severity adults with autism spectrum disorder to verify the impact of several variables including sex, age, level of education and autism severity level in an Italian sample. Moreover, we wanted to find out the optimal cut points for the major intelligence quotients in order to discriminate autism severity levels. METHODS: Participants were recruited from two National Health System Center in two different Italian regions and were assessed with gold-standard instruments as a part of their clinical evaluation. According to DSM-5, cognitive domains were also measured with multi-componential tests. We used the Italian adaptation of WAIS-IV. We checked our hypotheses using linear regression models and receiver operating characteristics (ROC) curves. RESULTS: Our results showed that age and level of education have a strong impact on Verbal Comprehension (VCI) and Working Memory Indexes (WMI). Gender differences are relevant when considering the VCI and Processing Speed index (PSI) in which women obtained the best performance. These differences are still relevant when considering cut points of ROC because 69 resulted to be the optimal cut point for women, 65 for men. CONCLUSIONS: Few conclusions can be assumed only examining Full Scale Intelligence Quotient (FSIQ) scores as it includes many different information about broader cognitive abilities. Looking deeper at main indexes and their subtests findings are consistent with previous research on the disorder (moderate correlations of FSIQ, Perceptual Reasoning index, WMI and PSI with the participants’ age), while other results are unforeseen (no effect of sex found on FSIQ score) or novel (significant effect of education on VCI and WMI). Using an algorithm predicting optimal cut point for discriminating through autism severity levels can help clinicians to better label and quantify the required help a person may need, a test cannot replace diagnostic and clinical evaluation by experienced clinicians. Cambridge University Press 2022-09-23 /pmc/articles/PMC9531589/ /pubmed/36148868 http://dx.doi.org/10.1017/S2045796022000506 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Article
Cicinelli, G.
Nobile, E.
Brighenti, S.
Bari, S.
Tonella, E.
Aresi, A.
Attanasio, M.
Mazza, M.
Valenti, M.
Keller, R.
Wechsler Intelligence Scale for Adults – Fourth Edition profiles of adults with autism spectrum disorder
title Wechsler Intelligence Scale for Adults – Fourth Edition profiles of adults with autism spectrum disorder
title_full Wechsler Intelligence Scale for Adults – Fourth Edition profiles of adults with autism spectrum disorder
title_fullStr Wechsler Intelligence Scale for Adults – Fourth Edition profiles of adults with autism spectrum disorder
title_full_unstemmed Wechsler Intelligence Scale for Adults – Fourth Edition profiles of adults with autism spectrum disorder
title_short Wechsler Intelligence Scale for Adults – Fourth Edition profiles of adults with autism spectrum disorder
title_sort wechsler intelligence scale for adults – fourth edition profiles of adults with autism spectrum disorder
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531589/
https://www.ncbi.nlm.nih.gov/pubmed/36148868
http://dx.doi.org/10.1017/S2045796022000506
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