Parent-child nativity, race, ethnicity, and mental health conditions among U.S. children
Notice bibliographique
Résumé
INTRODUCTION: Over a quarter of U.S. children have at least one immigrant parent. Mental health disparities in children need to be assessed to better identify disproportionate burdens and promote health equity. OBJECTIVES: To assess the associations between race, ethnicity, and parent-child nativity, and mental health conditions in the U.S. METHODS: Data were from the 2016-2019 National Survey of Children’s Health (n=114,476 children aged 3-17 years), a nationwide, cross-sectional survey. Outcome variables included three mental health conditions (depression, anxiety, and behavior or conduct problems) reported by the parent/guardian. Additional measures included questions about healthcare access and use, demographics, and nine household challenge adverse childhood experiences (ACEs) used to quantify a total ACE score (0-9). Information on nativity was used to define immigrant generation (1(st), 2(nd), and 3(rd)+). Weighted logistic regression was used to assess the associations between race/ethnicity (Asian, Black, Hispanic, White, and Other), household generation, and outcome variables, among children who reported access to or utilized health services, adjusting for demographics. Multiple imputation was used to handle missing data. RESULTS: Asian, Black, Hispanic, and White 3(rd)+ generation children had increased odds of depression compared to their 1(st) generation counterparts, same as among White, 2(nd) generation children. Race/ethnicity was not associated with depression among 1(st) and 3(rd)+ generation children, but Asian, Black, and Hispanic children had lower odds of depression compared to White children among 2(nd) generation children. Asian, Black, Hispanic, and Other-race 3(rd)+ generation children had increased odds of anxiety compared to their 1(st) generation counterparts, with similar findings also observed for Black and Other-race 2(nd) generation children. Being racial/ethnic minorities was generally associated with decreased odds of anxiety among 1(st) and 2(nd) generation children compared to White children from the respective generations. Asian, Black, Hispanic, and Other-race 3(rd)+ generation children had increased odds of behavior/conduct problems compared to their 1(st) generation counterparts. The observed associations remained significant after adjusting for the modified ACE score. CONCLUSIONS: We found significant differences in several mental health conditions in children by parent-child nativity, race, and ethnicity that could not be explained by demographics, childhood adversity, and healthcare access and use. Lower odds of mental health conditions among minority children could represent differences due to factors such as differential reporting, and higher odds of mental health conditions, including in third- and higher generation children, need further investigation to develop approaches to promote mental health equity. DISCLOSURE OF INTEREST: None Declared
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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 | 0,001 | 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) | 0,004 | 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 ».