Is high socioeconomic position a privilege for everyone? Social inequalities among newcomer adolescents in Canada
Notice bibliographique
Résumé
This paper investigated 3 social conditions of adolescent health: migration status, socioeconomic position, and bullying behaviours. The aim of this study was to investigate newcomer adolescents to Canada's experience of bullying behaviours, socioeconomic position, and self-rated health, and associations between these factors, compared with non-newcomers. This study represents results from a proportional sample of 21,750 adolescents in Canada recruited through the HBSC-Canada study 2017/2018 cycle. The associations between self-rated health and household socio-economic position (SEP), migration status, the four bullying behaviours were assessed via logistic regression analysis that took into consideration ethnicity, gender, grade-level, variations in sampling by using survey weights, and the nested nature of the data. Newcomers, low SEP adolescents, and those involved in bullying behaviours all reported poorer self-rated health than their counterparts. At first, there were no statistical differences in bullying behaviours across newcomer and non-newcomer youth. However, further sub-group investigation showed that when SEP is considered in this association, there are statistical differences. Bullying behaviours differed among newcomer adolescents based on household SEP. Newcomer youth who are affluent, were more likely to be victims of in-school victimization, of cyber victimization, and involved with perpetrating cyber bullying compared with non-newcomer youth living in deprivation. Migration, as a social condition and associate of health, when viewed at different levels of SEP is seen to be associated with bullying behaviours among adolescents in Canada, specifically cyberbullying behaviours of victimizing and perpetrating among high-SEP newcomer adolescents in Canada. Those living in deprivation are usually associated with poorer social and health outcomes relative to those living in affluence. This study's findings support intersectional approaches and analyses where intersections of adolescents' traits show unique associations with social and health outcomes. • Lower self-rated health was reported in newcomer adolescents. •Adolescents who perpetrated bullying or were victimized has lower self-rated health. •Newcomers at different affluence levels were associated with victimizing behaviours. •Affluent newcomers were more likely to be victimized and to perpetrate bullying.
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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 | 0,001 | 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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».