Billets de Michelle Dawson

Billet publié sur Bluesky le 20/07/2024 11:50

Bluesky Publication avec DOI crossref Extrait cité dans le billet Question posée par Dawson dans le billet Lien intégré au billet Termes sur l’autisme

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Publication avec DOI Récupéré Publication crossref

Kyle Sterrett, Elaine Clarke, Jane Nofer, Joseph Piven, Catherine Lord (2024). Toward a functional classification for autism in adulthood. Autism Research, 17(10), 2105-2119. Wiley.

Date de publication
19/07/2024
Identifiant
10.1002/aur.3201
Auteurs
Kyle Sterrett, Elaine Clarke, Jane Nofer, Joseph Piven, Catherine Lord
Source
Autism Research
Détails
17(10), 2105-2119
Type de référence
article
Éditeur
Wiley
Source de métadonnées
crossref

Résumé

Abstract Autism spectrum disorder (ASD) is a heterogeneous condition that affects development and functioning from infancy through adulthood. Efforts to parse the heterogeneity of the autism spectrum through subgroups such as Asperger's and Profound Autism have been controversial, and have consistently struggled with issues of reliability, validity, and interpretability. Nonetheless, methods for successfully identifying clinically meaningful subgroups within autism are needed to ensure that research, interventions, and services address the range of needs experienced by autistic individuals. The purpose of this study was to generate and test whether a simple set of questions, organized in a flowchart, could be used in clinical practice and research to differentiate meaningful subgroups based on individuals' level of functioning. Once generated, subgroups could also be compared to the recently proposed administrative category of Profound Autism and to groupings based on standardized adaptive measures. Ninety‐seven adults with autism or related neurodevelopmental disorders participating in a longstanding longitudinal study, or their caregivers if they could not answer for themselves, completed phone interviews when the participants were ~30 years old. Information from these phone interviews was used to generate vignettes summarizing characteristics and aspects of the daily lives of each participant (e.g., language level, vocational activities, and social relationships). Three expert clinicians then used these vignettes to classify each participant based on their level of support needs. Meaningfully distinct subgroups within the sample were identified which could be reliably distinguished from one another. Implications of such categorizations and future directions are discussed.

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