Social Determinants of Health and Injury Among Children
Notice bibliographique
Résumé
Importance: Pediatric physical injuries have lasting effects on child mental and physical health and social outcomes. Little is known about social determinants that increase the odds of injury in children. Objective: To examine the association between 14 social determinants of child health (SDoCH) and odds of pediatric injury. Design, Setting, and Participants: Population-based retrospective case-control study in Winnipeg, Canada. Cases (children aged ≤17 years admitted to the hospital from 2002 to 2019 with physical injuries) were linked to their mothers using a unique identifier and matched 1:5 on age, sex, and geographic region with uninjured controls from the general population. Data were analyzed from May 2023 to July 2024. Exposures: Fourteen SDoCH measured as present or absent from birth to date of injury: low-income neighborhood; rural status; receipt of income assistance; justice system involvement; parent with less than a high school education; social housing; having an immigrant parent; high residential mobility; being born to a teen mother; having a child in protective care; child mental health diagnosis; maternal axis I or axis II mental disorder; and maternal physical disorder. Main Outcomes and Measures: Pediatric injury that required hospitalization. Analyses were conducted using conditional multivariate logistic regression modeling. Results: The final groups included 9853 cases and 49 442 controls for a total sample of 59 295. For cases at time of injury, the mean (SD) age was 9.8 (5.2) years, 6358 (64.5%) were male, 4688 (47.6%) lived in a rural area, and 3639 (36.9%) were low income. There were no significant differences between cases and controls for demographics; however, there was a greater proportion than expected of both groups in the lowest quintile. In the final multivariable model, rural area (adjusted odds ratio [aOR], 6.62; 95% CI, 4.62-9.47), having a child in protective care (aOR, 1.43; 95% CI, 1.31-1.55), being born to a teen mother (aOR, 1.34; 95% CI, 1.26-1.41), parent criminal justice system involvement (aOR, 1.27; 95% CI, 1.21-1.33), and receipt of income assistance (aOR, 1.13; 95% CI, 1.06-1.21) increased odds of pediatric traumatic injury. Conclusions and Relevance: In this retrospective case-control study, several adverse SDoCH were associated with increased odds of pediatric injury. These findings can inform targeted injury risk reduction programs.
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Comment cette classification a été obtenuedéplier
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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».