Early-Onset Trajectories of Emotional Dysregulation in Autistic Children
Notice bibliographique
Résumé
OBJECTIVE: Emotional dysregulation (ED) is a common and debilitating problem for autistic children and their families. However, little is known about early-onset patterns of dysregulation, associated risk factors, and child and family outcomes. This study aimed to characterize trajectories of ED in an inception cohort of autistic preschoolers. METHOD: Caregivers reported on ED of 396 autistic children using the Aberrant Behavior Checklist Irritability and Hyperactivity/Noncompliance subscales at 6 time points from shortly after autism spectrum disorder diagnosis (ages 2-4 years) to preadolescence (ages 10-11 years). Covariance pattern mixture modeling was used to characterize the number and shape of latent dysregulation trajectories that best fit underlying data. Child and family correlates were measured at baseline and between ages 10 and 11 years to characterize early risk factors and preadolescent profiles associated with distinct latent trajectories. RESULTS: Three distinct trajectory classes best fit the data: persistently self-regulated (18% of sample), moderate and declining (54%), and persistently dysregulated (28%). Children classified in the persistently dysregulated trajectory lived with more depressed caregivers and in families reporting greater relationship problems and lower household incomes compared with children in lower-risk trajectories. Few associations were found with baseline child characteristics. Persistent dysregulation problems were associated with significantly worse child mental health and functional outcomes during preadolescent years. CONCLUSION: Risk of persistent severe ED may be identifiable at the time of early autism diagnosis. Diagnostic assessments should include contextual risk factors and links to evidence-based family supports and interventions. PLAIN LANGUAGE SUMMARY: Emotional dysregulation, in the form of frequent and severe meltdowns, irritability and impulsivity, often cause a lot of stress for children with autism spectrum disorder (ASD) and their families. Using data from the Pathways in ASD follow-up study involving 396 children diagnosed between the ages of 2 and 4 years with ASD, authors found that 28% were at high risk of severe emotional dysregulation that lasted throughout early and middle childhood. Children at highest risk were more likely to live in homes where families experienced parental depression, family relationship stress, and lower household incomes compared to those with fewer self-regulation problems. Clinicians conducting diagnostic assessments should include proactive and family-centered mental health assessments, prevention and early intervention for young children with ASD.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».