Maternal age and child development outcomes at age five in Australian Aboriginal and non-Aboriginal children: a population data linkage study
Notice bibliographique
Résumé
ABSTRACT ObjectivesAlmost one-fifth of Australian Aboriginal mothers give birth before 20 years of age compared with 3% of non-Aboriginal mothers. We aim to quantify the effect of maternal age at birth on child development outcomes in Aboriginal compared with non-Aboriginal children. ApproachThe ‘Seeding Success’ study cohort comprises an almost complete population of children who started school in Australia’s most populous state, New South Wales (NSW), in 2009 or 2012, and were born in NSW, identified by linking Australian Early Development Census (AEDC) data to perinatal and birth registration datasets. Of the 154,936 children in the cohort, 8001 (5%) were Aboriginal. We calculated the risk of developmental vulnerability on one or more AEDC domains by maternal age at birth and Aboriginality. Risk differences and risk ratios (RR) were estimated as measures of absolute and relative inequalities, respectively. Multilevel Poisson regression was used to test the effect of maternal age on child development by Aboriginality. Results1383 (17%) Aboriginal children were born to a mother <20 years compared with 4310 (3%) non-Aboriginal children. Among Aboriginal and non-Aboriginal children, the risk of developmental vulnerability decreased with increasing maternal age up to 35 years; the risk increased for children born to mothers >35 years. Among Aboriginal children, the risk decreased from 46% (95%CI, 39-52) to 31% (95%CI, 24-38) in children born to mothers’ aged ≤16 years to age 35 years, respectively. In non-Aboriginal children, the risk decreased from 38% (95%CI, 33-43) to 16% (95%CI, 15-17) in those born to mothers’ aged ≤16 years to 35 years, respectively. Risk differences and risk ratios for developmental vulnerability between Aboriginal and non-Aboriginal children increased with increasing maternal age. Compared to non-Aboriginal children born to mothers aged ≥20 years (ref group, RR, 1.0), the RR for developmental vulnerability was 1.7 (95% CI, 1.6-1.9) for non-Aboriginal children born to mothers aged <20 years; 1.6 (95% CI, 1.6-1.7) for Aboriginal children born to mothers aged ≥20 years; and 2.2 (95% CI, 2.0-2.3) for Aboriginal children born to mothers aged <20 years. ConclusionChildren born to very young mothers had a high risk of vulnerability regardless of Aboriginality, whereas Aboriginal children had a greater risk of developmental vulnerability across the rest of the maternal age range. Both absolute and relative inequalities in developmental vulnerability increased with increasing maternal age. Early intervention and support services targeted at Aboriginal mothers and their children, regardless of the mother’s age, may reduce this inequality.
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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 | 0,006 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».