Identification de sous-types sensoriels longitudinaux dans le développement typique et le développement du trouble du spectre de l'autisme à l'aide de la modélisation par mélange de trajectoires

Titre original en anglais : Identification of Longitudinal Sensory Subtypes in Typical Development and Autism Spectrum Development Using Growth Mixture Modelling

Cette publication est incluse dans le projet « Contributions académiques de personnes autistes sur l’autisme ». un auteur·ice de cette publication est identifié·e comme autiste dans le projet.

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Dwyer, P., Saron, C. D., & Rivera, S. M. (2020). Identification of Longitudinal Sensory Subtypes in Typical Development and Autism Spectrum Development Using Growth Mixture Modelling. Research in Autism Spectrum Disorders, 78, 101645. https://doi.org/10.1016/j.rasd.2020.101645

Date de publication: 27/08/2020 Ajout dans AutiHub: 05/07/2026 Type: Article Langue de l’article: Anglais
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Auteurs

Auteur·ices des publications
3
Auteur·ices de la publication identifié·es comme autistes
1 / 3 (33,3 %)
  1. Patrick Dwyer *
  2. Clifford D. Saron
  3. Susan M. Rivera

Résumé

CONTEXTE : Les recherches longitudinales antérieures sur les trajectoires des caractéristiques sensorielles dans le développement du trouble du spectre de l'autisme (TSA) n'ont pas exploré l'hétérogénéité. La présente étude explore les niveaux initiaux et les trajectoires des caractéristiques sensorielles dans le TSA ainsi que, à des fins de comparaison, dans le développement typique. MÉTHODE : La modélisation par mélange de trajectoires a été utilisée pour explorer des classes de participants autistes et au développement typique sur la base des comportements sensoriels totaux rapportés par les personnes s'occupant des enfants dans le Short Sensory Profile (SSP) à deux moments, lorsque les enfants étaient âgés de 2 à 5 ans et de 4 à 10 ans, respectivement. RÉSULTATS : Trois classes sont décrites : une classe mixte de participants autistes et au développement typique présentant peu de comportements sensoriels problématiques (« Stable léger »), une classe majoritairement autiste présentant des caractéristiques sensorielles plus problématiques (« Stable intense »), et une petite classe de participants autistes dont les caractéristiques sensorielles se seraient aggravées (« De plus en plus intense »). Les participants autistes de la classe Stable intense présentaient une anxiété élevée, tandis que les participants autistes de la classe De plus en plus intense semblaient obtenir des scores élevés aux évaluations cognitives. CONCLUSIONS : L'hétérogénéité des caractéristiques et des difficultés sensorielles observée dans la présente étude pourrait suggérer que les praticiens devraient réaliser des évaluations individualisées des caractéristiques sensorielles dans le TSA. En outre, les praticiens devraient être conscients des liens entre les caractéristiques sensorielles et l'anxiété dans le TSA, ce qui pourrait impliquer que les aménagements et les soutiens sensoriels puissent protéger contre l'anxiété. Enfin, l'aggravation des caractéristiques sensorielles au fil du temps dans le sous-groupe De plus en plus intense peut indiquer la nécessité d'une surveillance continue des changements des caractéristiques sensorielles, peut-être particulièrement lorsque les environnements sensoriels changent durant les périodes de transition.

BACKGROUND: Prior longitudinal investigations of trajectories of sensory features in Autism Spectrum Development (ASD) have not explored heterogeneity. The present study explores initial levels and trajectories of sensory features in ASD as well as, for comparison, typical development. METHOD: Growth mixture modelling was used to explore classes of autistic and typically-developing participants based on caregiver-reported total sensory behaviours on the Short Sensory Profile (SSP) at two time points, when children were aged 2-5 and 4-10 years of age, respectively. RESULTS: Three classes are described: a mixed class of autistic and typically-developing participants with few problematic sensory behaviours ("Stable Mild"), a mostly-autistic class with more problematic sensory features ("Stable Intense"), and a small class of autistic participants whose sensory features reportedly worsened ("Increasingly Intense"). Autistic participants in the Stable Intense class exhibited high anxiety, while autistic participants in the Increasingly Intense class appeared to obtain high scores on cognitive assessments. CONCLUSIONS: The heterogeneity of sensory features and challenges found in the present study may suggest that practitioners should conduct individualized assessments of sensory features in ASD. Furthermore, practitioners should be aware of links between sensory features and anxiety in ASD, which may imply that sensory accommodations and supports could protect against anxiety. Finally, the worsening of sensory features over time in the Increasingly Intense subgroup may indicate a need for continued monitoring of changes in sensory features, perhaps especially as sensory environments change during periods of transition.

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Références citées
68
Avec un DOI
57
Sans DOI, à partir du texte brut de la bibliographie
10
4 / 68 (5,9 %) références citées comprennent au moins une personne identifiée comme autiste.
Références avec données à compléter
2 / 68 (2,9 %)
Références avec noms d’auteurices détectés
66 / 68 (97,1 %)
Sans nom d’auteurice détecté
2
Sans titre structuré
0
Sans identifiant stable
8
Références avec noms bruts d’auteurices restant à vérifier
0
Références avec problème de récupération des métadonnées externes
2
Ces indicateurs portent sur les références citées affichées sur cette page, après fusion des doublons techniques. Une référence sans DOI peut quand même soutenir les statistiques d’auteurices lorsqu’un titre et des noms d’auteurices sont disponibles.
Noms d’auteurices détectés dans la bibliographie citée
321
À partir du DOI ou de métadonnées externes
321
À partir du texte brut validé de la bibliographie
0
Noms bruts déjà validés
0
Noms bruts restant à vérifier
0
131 / 321 (40,8 %) noms sont associés à un·e auteurice déjà présent·e dans AutiHub. 190 / 321 (59,2 %) noms ne sont pas encore associés.
Noms associés à une personne identifiée comme autiste
4 / 321 (1,2 %)
Calculé sur l’ensemble des noms d’auteurices détectés dans la bibliographie citée. Parmi les noms associés à un·e auteurice déjà présent·e dans AutiHub : 4 / 131 (3,1 %). Personnes distinctes identifiées comme autistes : 4 / 265 (1,5 %).
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