Mental health of South Asian youth in Peel Region, Toronto, Canada: a qualitative study of determinants, coping strategies and service access
Bibliographic record
Abstract
OBJECTIVES: This qualitative study set out to understand the mental health challenges and service access barriers experienced by South Asian youth populations in the Peel Region of Toronto, Canada. SETTING: In-depth semistructured interviews were carried out with South Asian youth living in Peel Region (Mississauga, Brampton and Caledon), a suburb of Toronto, Canada, home to over 50% of Ontario's South Asian population. PARTICIPANTS: South Asian youth (n=10) engaged in thoughtful, candid dialogue about their mental health and service access barriers. PRIMARY AND SECONDARY OUTCOME MEASURES: Qualitative interview themes related to mental health stressors and mental health service access barriers experienced by youth living in Peel Region were assessed using thematic analysis. RESULTS: South Asian youth face many mental health stressors, from intergenerational and cultural conflict, academic pressure, relationship stress, financial stress and family difficulties. These stressors can contribute to mental health challenges, such as depression and anxiety and drug use, with marijuana, alcohol and cigarettes cited as the most popular substances. South Asian youth were only able to identify about a third (36%) of the mental health resources presented to them and did not feel well informed about mental health resources available in their neighbourhood. CONCLUSIONS: They offered recommendations for improved youth support directed at parents, education system, South Asian community and mental health system. Institutions and bodies at all levels of the society have a role to play in ensuring the mental health of South Asian youth.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".