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Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models
Autism spectrum disorder (ASD) might be conceptualized as an essentially dimensional, categorical, or hybrid model. Yet, current empirical studies are inconclusive and the latent structure of ASD has explicitly been examined only in a few studies. The aim of our study was to identify and discuss the...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576682/ https://www.ncbi.nlm.nih.gov/pubmed/36006478 http://dx.doi.org/10.1007/s00787-022-02062-y |
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author | Wittkopf, Sarah Langmann, Anika Roessner, Veit Roepke, Stefan Poustka, Luise Nenadić, Igor Stroth, Sanna Kamp-Becker, Inge |
author_facet | Wittkopf, Sarah Langmann, Anika Roessner, Veit Roepke, Stefan Poustka, Luise Nenadić, Igor Stroth, Sanna Kamp-Becker, Inge |
author_sort | Wittkopf, Sarah |
collection | PubMed |
description | Autism spectrum disorder (ASD) might be conceptualized as an essentially dimensional, categorical, or hybrid model. Yet, current empirical studies are inconclusive and the latent structure of ASD has explicitly been examined only in a few studies. The aim of our study was to identify and discuss the latent model structure of behavioral symptoms related to ASD and to address the question of whether categories and/or dimensions best represent ASD symptoms. We included data of 2920 participants (1–72 years of age), evaluated with the Autism Diagnostic Observation Schedule (Modules 1–4). We applied latent class analysis, confirmatory factor analysis, and factor mixture modeling and evaluated the model fit by a combination of criteria. Based on the model selection criteria, the model fits, the interpretability as well as the clinical utility we conclude that the hybrid model serves best for conceptualization and assessment of ASD symptoms. It is both grounded in empirical evidence and in clinical usefulness, is in line with the current classification system (DSM-5) and has the potential of being more specific than the dimensional approach (decreasing false positive diagnoses). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00787-022-02062-y. |
format | Online Article Text |
id | pubmed-10576682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-105766822023-10-16 Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models Wittkopf, Sarah Langmann, Anika Roessner, Veit Roepke, Stefan Poustka, Luise Nenadić, Igor Stroth, Sanna Kamp-Becker, Inge Eur Child Adolesc Psychiatry Original Contribution Autism spectrum disorder (ASD) might be conceptualized as an essentially dimensional, categorical, or hybrid model. Yet, current empirical studies are inconclusive and the latent structure of ASD has explicitly been examined only in a few studies. The aim of our study was to identify and discuss the latent model structure of behavioral symptoms related to ASD and to address the question of whether categories and/or dimensions best represent ASD symptoms. We included data of 2920 participants (1–72 years of age), evaluated with the Autism Diagnostic Observation Schedule (Modules 1–4). We applied latent class analysis, confirmatory factor analysis, and factor mixture modeling and evaluated the model fit by a combination of criteria. Based on the model selection criteria, the model fits, the interpretability as well as the clinical utility we conclude that the hybrid model serves best for conceptualization and assessment of ASD symptoms. It is both grounded in empirical evidence and in clinical usefulness, is in line with the current classification system (DSM-5) and has the potential of being more specific than the dimensional approach (decreasing false positive diagnoses). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00787-022-02062-y. Springer Berlin Heidelberg 2022-08-25 2023 /pmc/articles/PMC10576682/ /pubmed/36006478 http://dx.doi.org/10.1007/s00787-022-02062-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Contribution Wittkopf, Sarah Langmann, Anika Roessner, Veit Roepke, Stefan Poustka, Luise Nenadić, Igor Stroth, Sanna Kamp-Becker, Inge Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models |
title | Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models |
title_full | Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models |
title_fullStr | Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models |
title_full_unstemmed | Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models |
title_short | Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models |
title_sort | conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576682/ https://www.ncbi.nlm.nih.gov/pubmed/36006478 http://dx.doi.org/10.1007/s00787-022-02062-y |
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