Conceptualization of the latent structure of autism: further evidence and discussion of dimensional and hybrid models.
Autism classification
Autism spectrum disorder
Factor mixture modeling
Latent structure hybrid model
Journal
European child & adolescent psychiatry
ISSN: 1435-165X
Titre abrégé: Eur Child Adolesc Psychiatry
Pays: Germany
ID NLM: 9212296
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
18
01
2022
accepted:
01
08
2022
medline:
23
10
2023
pubmed:
26
8
2022
entrez:
25
8
2022
Statut:
ppublish
Résumé
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).
Identifiants
pubmed: 36006478
doi: 10.1007/s00787-022-02062-y
pii: 10.1007/s00787-022-02062-y
pmc: PMC10576682
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2247-2258Subventions
Organisme : Bundesministerium für Bildung und Forschung
ID : FKZ 01EE1409A
Informations de copyright
© 2022. The Author(s).
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