A assessment of the effects of parental age on the development of autism in children: a systematic review and a meta-analysis
Notice bibliographique
Résumé
OBJECTIVE: There has been conflicting evidence in earlier research on the association between parental age and autism risk. To clarify this association, we conducted a comprehensive meta-analysis of observational studies. The primary objective of this study was to determine the association between parents' age and the risk of autism in the offspring. METHODS: PubMed, EMBASE and Web of Science were searched for reports published up to November 2023. Results from relevant studies were pooled using random effects models. Subgroup analyses and meta-regression were performed to examine heterogeneity between the studies. Studies were included in this meta-analysis that focused on children with autism and examined the relationship between parents' age (mother or father) and the risk of autism.The quality of studies was assessed using the Newcastle-Ottawa Scale (NOS). RESULTS: This meta-analysis included 41 articles. The low age of mother (OR = 0.96, (95% CIs: 0.88-1.05) and father (OR = 1.11, (95% CIs: 0.98-1.24) was not significantly associated with lower risk of autism in children. Conversely, greater paternal and maternal ages were associated with an increased risk of autism in their children. The adjusted odds ratios for mothers' and fathers' ages were 1.47 (95% CIs: 1.33-1.62) and 1.51 (95% CIs: 1.40-1.62), respectively. CONCLUSION: Increased risk of autism in children is significantly associated with greater parents' ages. Further research is needed to gain further insight into the mechanisms responsible for the effects of parents' ages on the risk of autism in children. The findings of previous studies on the association between parents' ages and their children's autism risk have been mixed. Therefore, by carefully examining a number of previous investigations, in this study we aimed to determine the exact relationship between parental age and autism risk. According to the study's findings, parents who are older have a higher chance of their child getting autism. In other words, children of older parents are more likely to develop autism. The exact causes of this relationship, however, are still unclear. This study shows that higher age of parents can be one of the risk factors for autism in their childs.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,023 | 0,046 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,002 |
| Méta-épidémiologie (sens large) | 0,025 | 0,062 |
| Bibliométrie | 0,011 | 0,010 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».