Factors associated with booster seat use among Indigenous peoples in Canada
Notice bibliographique
Résumé
OBJECTIVE: Booster seat use among the general population remains relatively low, despite their effectiveness in preventing injury among children when involved in motor vehicle collisions. Given the prevention of injuries that booster seats provide, understanding the factors that hinder or facilitate the use of these seats is critical, particularly in communities that are often overlooked when conducting general population studies. To date, no studies have examined the prevalence and predictors of booster seat use among Indigenous peoples in Canada. The purpose of this study was to examine the use of booster seat use among Indigenous peoples across Canada and the factors that impact their use. METHODS: Data were collected from a survey of participants from First Nations communities and organizations serving Indigenous peoples nationwide. Hypotheses arising from known predictors of booster seat use across the general population were tested using logistic regression models. RESULTS: The strongest predictor of booster seat use, even when all other study factors were accounted for, was the reduction of barriers related to the use of booster seats, such as a child's resistance to being placed or staying in the passive safety restraint or a parent, guardian, or other caregiver being unwilling to use or unsure of how to install/setup the booster seat. CONCLUSION: Most Indigenous participants consistently used booster seats to safely secure children being transported in vehicles. However, this compliance rate is well below that of the general population. Accessibility and affordability of child safety restraints and/or children's refusal to use booster seats, as well as having more than 1 child to secure, were identified as mitigating factors. Access to and the affordability of booster seats, coupled with clear and understandable information on how to use them, are critical components to compliance. Raising awareness among Indigenous peoples communities regarding the importance of using booster seats is imperative. To achieve this, Indigenous peoples must lead discussions to ensure that child safety strategies not only are based on research and best practices but are culturally connected and community driven. Through meaningful collaboration, vehicle-related injuries and mortality among Indigenous children can be significantly reduced.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 ».