Early adversity and family resilience factors in children with autism spectrum disorder: A narrative review
Notice bibliographique
Résumé
Global estimates indicate that autism is a neurodevelopmental condition that is currently diagnosed in 1 in 100 people across the world. Autistic children can experience deficits in social communication, often linked to difficulties with joint attention and facial emotion recognition. Restrictive repetitive behaviors and interests (RRBIs) are also part of the diagnostic criteria of autism and are associated with lower adaptive skills. Due to social challenges and RRBIs exhibited by autistic children, they may be at higher risk for experiencing social and familial stressors. In non-autistic children, early adversity is predictive of deficits in executive functioning, neurological changes, and poor adult health. However, resilience factors have been identified, which can offset the negative impacts of adversity. In autistic children, these protective factors may have differential downstream influences on children's outcomes due to cognitive and social difficulties. In this narrative review, we report that autistic children are more likely to experience familial and environmental stressors compared to non-autistic children. Resilience factors such as positive parenting, sleep, social relationships, and executive functioning skills were identified as key areas for future research. Lay summary Children with autism are statistically more likely than their peers to be exposed to adverse childhood events including bullying, parental divorce, and poverty. The more severely affected a child is by autism the greater the likelihood they will be exposed to early life stress. This indicates that the most vulnerable children with autism who have limited adaptive skills to promote resilience to stress may have the highest exposure to stressful events during their childhood. In turn, a better understanding of how early adversity impacts children with autism is needed as well to characterize resilience factors that promote optimal outcomes. In this review of the literature, it was found that children with autism may experience more stress from their family and surroundings compared to children without autism. Factors that can help these children cope better were identified, including supportive parenting, getting enough sleep, having friends, and having good problem-solving skills. This research could help parents and teachers better understand how to support children with autism who are experiencing early adversity.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».