Fifteen-year trends in self-reported racism and link with health and well-being of African Canadian adolescents: a secondary data analysis
Notice bibliographique
Résumé
BACKGROUND: We assessed the prevalence and trends in racial discrimination among African Canadian adolescents in British Columbia. The association between racial discrimination and self-rated health, access to mental health services, substance use, suicidal thoughts and attempts, experience of extreme stress, among others were examined within the 2018 dataset. METHODS: Secondary analysis used the data collected from African Canadian adolescents (n = 2448) as part of the British Columbia Adolescent Health Surveys (2003-2018). We examined whether racial discrimination increased, decreased, or remained stable over time. We evaluated experiences of racial discrimination for all adolescents, and then disaggregated analyses for boys, girls, immigrant, and Canadian-born African adolescents. We used Rao-Scott's adjusted chi-square to test differences in racial discrimination and adjusted logistic regressions to test trends across survey years, widening or narrowing gaps in racial discrimination, as well as the link to health outcomes. RESULTS: Racial discrimination was significantly different across the survey years (Adjusted F = 4.60, p < .01), with the highest percentage of adolescents reporting past year racial discrimination in 2018 (29.9%) and the lowest percentage in 2013 (21.3%). Girls and immigrant African Canadian adolescents were more likely to have experienced racial discrimination. However, girls and Canadian-born adolescents had the highest odds of reporting racial discrimination in 2018 compared to 2003, AOR = 1.85, and 1.58, respectively. The findings reveal significant differences in the experiences of racial discrimination for boys and girls, as well as for immigrant and Canadian-born African adolescents. Significant differences were noted in the link between racial discrimination and self-rated health and engaging in behaviours that might expose them to health risks. The worst negative health outcomes were found for boys and immigrant African Canadian adolescents. CONCLUSION: The study suggests that more than 1 in 4 African Canadian adolescents in British Columbia report racial discrimination, which is an increasing trend in recent years. Those who reported racial discrimination also had the worst adverse health outcomes. There is a need for more public health action to reduce racism, create awareness about the negative health impacts, and provide better support for African Canadian adolescents.
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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 | 0,004 | 0,000 |
| 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 | 0,000 | 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 ».