Prédicteurs concomitants et longitudinaux de la non-fréquentation scolaire chez les adolescents autistes

Titre original en anglais : Concurrent and Longitudinal Predictors of School Non-attendance in Autistic Adolescents

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Adams, D., Gray, K. M., Houting, J. d., Paynter, J., Melvin, G., & Simpson, K. (2025). Concurrent and Longitudinal Predictors of School Non-attendance in Autistic Adolescents. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-025-06976-9

Date de publication: 14/08/2025 Ajout dans AutiHub: 05/07/2026 Type: Article Langue de l’article: Anglais
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Auteurs

Auteur·ices des publications
6
Auteur·ices de la publication identifié·es comme autistes
1 / 6 (16,7 %)
  1. Dawn Adams
  2. Kylie M. Gray
  3. Jacquiline den Houting *
  1. Jessica Paynter
  2. Glenn Melvin
  3. Kate Simpson

Résumé

Des recherches récentes ont montré qu'il est rapporté que les enfants autistes ont une fréquentation scolaire plus faible que les élèves non autistes. La non-fréquentation scolaire peut survenir pour de multiples raisons, notamment la participation à des rendez-vous médicaux/de santé et le refus scolaire/l'évitement scolaire fondé sur les émotions. Fournir un soutien pour améliorer la fréquentation scolaire des enfants autistes nécessite de comprendre les facteurs qui conduisent potentiellement à des types spécifiques de non-fréquentation scolaire ou les influencent. L'objectif de cette étude était d'identifier les facteurs scolaires, familiaux et liés à l'enfant, concomitants et longitudinaux, associés à la non-fréquentation scolaire chez les enfants autistes. Les parents/aidants ayant précédemment participé à une étude longitudinale de 6 ans en Australie ont été invités à remplir un questionnaire de suivi en ligne concernant la fréquentation scolaire de leur enfant. Soixante-dix-sept parents d'enfants autistes âgés de 11 à 14 ans ont participé. Plus de 40 % des enfants présentaient une absence persistante (> 10 % des jours) de l'école. Sur la base de modèles de régression binomiale négative multivariés, l'anxiété de l'enfant était un prédicteur significatif des jours manqués pour plusieurs types de non-fréquentation scolaire. D'autres facteurs, notamment les différences de traitement sensoriel de l'enfant, les difficultés comportementales et émotionnelles de l'enfant, le stress parental, le revenu familial et l'emploi des parents, étaient corrélés à des types spécifiques d'absence. L'anxiété de l'enfant était le prédicteur longitudinal le plus fort et le plus constant, une anxiété plus élevée chez l'enfant prédisant significativement davantage de jours de non-fréquentation scolaire 3, 4 et 6 ans plus tard. Les résultats soulignent l'importance de prendre en considération les facteurs scolaires, liés à l'enfant et familiaux spécifiques aux différents types de non-fréquentation scolaire afin de soutenir les enfants autistes. Identifier les facteurs qui conduisent à l'anxiété de l'enfant et prévenir/réduire précocement l'anxiété de l'enfant constitue une piste potentiellement prometteuse pour soutenir la fréquentation scolaire.

Recent research has shown that autistic children are reported to have lower school attendance than non-autistic students. School non-attendance can occur for multiple reasons, including attendance at medical/health appointments and school refusal/emotionally based school avoidance. Providing support to improve autistic children's school attendance requires an understanding of the factors that potentially lead to or influence specific types of school non-attendance. The aim of this study was to identify concurrent and longitudinal school, family, and child factors associated with school non-attendance in autistic children. Parents/caregivers who had previously participated in a 6 year longitudinal study in Australia were invited to complete a follow-up online survey about their child's school attendance. Seventy-seven parents of autistic children aged 11-14 years participated. Over 40% of children had persistent absence (> 10% days) from school. Based on multivariate negative binomial regression models, child anxiety was a significant predictor of days missed for multiple types of school non-attendance. Other factors, including child sensory processing differences, child behavioural and emotional challenges, parent stress, family income, and parent employment, were correlated with specific absence types. Child anxiety was the strongest and most consistent longitudinal predictor, with higher child anxiety significantly predicting more days of school non-attendance 3, 4, and 6 years later. Findings highlight the importance of considering school, child, and family factors specific to different types of school non-attendance to support autistic children. Identifying factors that lead to child anxiety and preventing/reducing child anxiety early is a potentially promising avenue to support attendance.

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Vue d’ensemble de l’inclusion dans la bibliographie

Ces indicateurs décrivent la bibliographie citée importée pour cette publication. Les métriques de références citées utilisent le total des références citées comme dénominateur. Les métriques d’auteurices cité·es indiquent si elles utilisent toutes les occurrences d’auteurices cité·es ou seulement les occurrences rattachées à des auteurices déjà intégré·es à la base de données AutiHub. Ils utilisent les rattachements mis en cache entre les auteurices cité·es et les auteurices intégré·es à la base de données AutiHub. Dernier calcul : 16/08/2026 11:30.

Références citées
57
Nombre total de références citées intégrées pour cette publication.
Références citées avec un·e auteur·ice identifié·e comme autiste
1 / 57 (1,8 %)
Occurrences d’auteur·ices cité·es identifié·es comme autistes
2 / 208 (1,0 %)
Parmi les occurrences rattachées à des auteurices intégré·es à la base de données AutiHub : 2 / 84 (2,4 %). Auteurices cité·es distinct·es identifié·es comme autistes : 2 / 173 (1,2 %).
Occurrences citées rattachées à la base AutiHub
84 / 208 (40,4 %)
Auteurices cité·es distinct·es rattaché·es : 50 / 173 (28,9 %)
Occurrences rattachées, non identifiées comme autistes
82 / 84 (97,6 %)
Parmi les seules occurrences rattachées. Sur l’ensemble des occurrences d’auteurices cité·es : 82 / 208 (39,4 %). Auteurices cité·es distinct·es rattaché·es, non identifié·es comme autistes : 48 / 50 (96,0 %).
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