Understanding mental health and wellbeing among aboriginal postsecondary students
Notice bibliographique
Résumé
First Nations, Inuit and Métis youth in Canada report higher rates of mental health (i.e., depression, anxiety, addiction and suicide) issues than the non-Aboriginal population of youth, which impacts their ability to achieve their educational goals. Understanding mental health from an Aboriginal worldview and through culturally safe strategies designed to translate mental health information to Aboriginal people is lacking. The objectives of the present study were to develop, implement and evaluate a knowledge translation (KT) strategy to enhance wellbeing knowledge and self-efficacy in coping with mental health issues among Aboriginal postsecondary students using a community-based approach. The Tool Development Phase involved focus groups and interviews with Aboriginal post-secondary students (n=9) and community members (n=3) to develop a KT activity. The KT Phase involved a pre/post design where participants (n=4) were asked about their mental health knowledge and self-efficacy in improving their wellbeing prior to and after the KT activity. All students participated in an individual interview one month later about their knowledge and the helpfulness of activity. Key informants (n=4) were interviewed during a Follow-Up and Debriefing phase regarding the community-based approach. Mental health was defined wholistically, as related to community and as being impacted by identity, stigma, cultural connection, intergenerational trauma, and a clash between Aboriginal and positivist Western worldviews. KT preferences included incorporating traditional ceremonies; covering particular topics such as resources, traditional teachings and coping strategies; and incorporating active participation. The KT activity increased knowledge and self-efficacy related to mental health and some knowledge was retained and used at one-month follow-up. As well, participants appreciated the sense of community that the activity created and provided feedback regarding what could be changed (e.g., more active participation). Key informants thought the project addressed some community needs and that it was built on relationships. This study will contribute to increasing the wellbeing of Aboriginal students by expanding upon their mental health knowledge, and sense of self-efficacy in coping with their own mental health issues, with the aim of addressing mental health barriers to the completion of post-secondary education among Aboriginal students.
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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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,003 |
| Intégrité de la recherche | 0,000 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».