Trajectoires du fonctionnement adaptatif de la petite enfance à l’adolescence dans l’autisme : identification des points d’inflexion et des principaux corrélats de la chronogénéité

Titre original en anglais : Trajectories of adaptive functioning from early childhood to adolescence in autism: Identifying turning points and key correlates of chronogeneity

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.

À propos de la mention auteur·ice autiste

Chen, Y., Duku, E., Szatmari, P., Salt, M., Smith, I., Richard, A., Zwaigenbaum, L., Vaillancourt, T., Zaidman‐Zait, A., Bennett, T., Elsabbagh, M., Kerns, C., & Georgiades, S. (2023). Trajectories of adaptive functioning from early childhood to adolescence in autism: Identifying turning points and key correlates of chronogeneity. JCPP Advances, 4(2), e12212-e12212. https://doi.org/10.1002/jcv2.12212

Date de publication: 14/12/2023 Ajout dans AutiHub: 29/09/2026 Type: Article Langue de l’article: Anglais

Cette publication est intégrée dans AutiHub via :

Auteurs

Auteur·ices des publications
13
Auteur·ices de la publication identifié·es comme autistes
1 / 13 (7,7 %)

Résumé

Résumé Contexte Des recherches antérieures ont mis en évidence des résultats adaptatifs hétérogènes dans l’ensemble du spectre de l’autisme ; cependant, la littérature actuelle reste limitée quant à l’élucidation des points d’inflexion et des facteurs associés à la variabilité longitudinale (chronogénéité). Afin de combler ces lacunes empiriques, nous avons cherché à fournir une caractérisation plus fine des trajectoires du fonctionnement adaptatif de la petite enfance à l’adolescence dans l’autisme. Méthodes Notre échantillon (N = 406) a été tiré d’une cohorte initiale d’enfants diagnostiqués Autistes entre 2 et 5 ans. Le fonctionnement adaptatif a été évalué au moyen des échelles de comportement adaptatif de Vineland (VABS, 2e édition) lors de 6 visites, depuis le moment du diagnostic jusqu’à l’âge de 18 ans. Une modélisation parallèle des courbes de croissance latentes a été utilisée pour estimer les trajectoires des VABS au niveau des domaines, suivie d’une analyse de croissance par classes latentes afin d’identifier des sous-groupes de trajectoires. Les caractéristiques des enfants au moment du diagnostic, les données démographiques familiales et les résultats de participation à l’adolescence ont été comparés entre les sous-groupes. Résultats Des modèles de croissance latente par segments décrivaient le mieux les trajectoires des VABS, avec deux points d’inflexion identifiés autour des âges de 5-6 ans et de 9-10 ans, reflétant respectivement les transitions vers l’âge scolaire et le début de l’adolescence. Nous avons distingué quatre sous-groupes de trajectoires VABS qui diffèrent selon le niveau de fonctionnement et le taux de changement pour certains domaines et certaines périodes. Environ 16 % de l’échantillon présentait un fonctionnement global adéquat (score standard >85), avec une croissance précoce notable et une adaptation sociale durant l’adolescence. Environ 21 % présentaient un faible fonctionnement adaptatif (score standard ≤70), avec des pentes décroissantes jusqu’à l’âge de 6 ans, suivies d’améliorations de la communication et des compétences de la vie quotidienne à l’âge de 10 ans. Les deux autres sous-groupes (63 % au total) se caractérisaient par un fonctionnement adaptatif compris entre des niveaux faibles et adéquats, avec des trajectoires relativement stables à l’entrée dans l’âge scolaire. Ces sous-groupes différaient surtout par leurs capacités cognitives au moment du diagnostic, le revenu du ménage et la participation sociale à l’adolescence. Conclusions Nous avons identifié des caractéristiques individuelles et familiales clés ainsi que des fenêtres temporelles associées à des trajectoires distinctes du fonctionnement adaptatif, ce qui a d’importantes implications pour la fourniture de soutiens opportuns et adaptés aux personnes Autistes à travers les stades du développement.

Abstract Background Previous research has demonstrated heterogeneous adaptive outcomes across the autism spectrum; however, the current literature remains limited in elucidating turning points and associated factors for longitudinal variability (chronogeneity). To address these empirical gaps, we aimed to provide a finer‐grained characterization of trajectories of adaptive functioning from early childhood to adolescence in autism. Methods Our sample (N = 406) was drawn from an inception cohort of children diagnosed Autistic at ages 2–5. Adaptive functioning was assessed with Vineland Adaptive Behavior Scales (VABS, 2 nd Edition) across 6 visits from the time of diagnosis by age 18. Parallel‐process latent growth curve modeling were used to estimate domain‐level VABS trajectories, followed by latent class growth analysis to identify trajectory subgroups. Child characteristics at diagnosis, family demographics, and participation outcomes at adolescence were compared across subgroups. Results Piecewise latent growth models best described VABS trajectories with two turning points identified at around ages 5‐6 and 9–10, respectively reflecting transitions into school age and early adolescence. We parsed four VABS trajectory subgroups that vary by level of functioning and change rate for certain domains and periods. Around 16% of the sample exhibited overall adequate functioning (standard score >85) with notable early growth and social adaptation during adolescence. About 21% showed low adaptive functioning (standard score ≤70), with decreasing slopes by age 6 followed by improvements in communication and daily‐living skills by age 10. The other two subgroups (63% in total) were characterized by adaptive functioning between low and adequate levels, with relatively stable trajectories entering school age. These subgroups differed most in their cognitive ability at diagnosis, household income, and social participation in adolescence. Conclusions We identified key individual and family characteristics and time windows associated with distinct adaptive functioning trajectories, which have important implications for providing timely and tailored supports to Autistic people across developmental stages.

Bibliographie citée par cette référence

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Vue d’ensemble de la bibliographie citée

Ces indicateurs décrivent la bibliographie citée par cette publication. Un nom d’auteurice est compté chaque fois qu’il apparaît dans une référence citée : une même personne peut donc être comptée plusieurs fois. Les noms qui ne sont pas encore associés à un·e auteurice déjà présent·e dans AutiHub sont traités comme inconnus, pas comme non autistes. Dernier calcul : 02/10/2026 01:40.

Références citées
86
Avec un DOI
83
Sans DOI, à partir du texte brut de la bibliographie
3
2 / 86 (2,3 %) références citées comprennent au moins une personne identifiée comme autiste.
Références avec données à compléter
1 / 86 (1,2 %)
Références avec noms d’auteurices détectés
85 / 86 (98,8 %)
Sans nom d’auteurice détecté
1
Sans titre structuré
1
Sans identifiant stable
3
Références avec noms bruts d’auteurices restant à vérifier
1
Références avec problème de récupération des métadonnées externes
0
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
568
À partir du DOI ou de métadonnées externes
568
À partir du texte brut validé de la bibliographie
0
Noms bruts déjà validés
0
Noms bruts restant à vérifier
1
267 / 568 (47,0 %) noms sont associés à un·e auteurice déjà présent·e dans AutiHub. 301 / 568 (53,0 %) noms ne sont pas encore associés.
Noms associés à une personne identifiée comme autiste
3 / 568 (0,5 %)
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 : 3 / 267 (1,1 %). Personnes distinctes identifiées comme autistes : 2 / 379 (0,5 %).
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