Contributors to positive mental health among youth: a qualitative study in British Columbia, Canada
Bibliographic record
Abstract
The mental health of youth aged 15-25 is a growing public health concern worldwide, signalling the need for expanded and innovative responses. Approaches to addressing this issue have prioritized treatment and recovery at the individual level, with limited attention to the broader contexts that shape mental health and illness. This study sought to explore youths' perspectives on positive mental health and its determinants. Drawing on in-depth, semi-structured interviews with a diverse sample of youth aged 15-25 (n = 35) from British Columbia, Canada, data underwent thematic analysis guided by a socio-ecological mental health promotion (MHP) framework. Analysis yielded three interconnected themes: (i) perspectives shaped by broader social discourses, (ii) cultivating belonging, and (iii) creating meaning. Participants articulated varying perspectives regarding factors that shape mental health, some of which were grounded in notions of individual responsibility, while others encompassed a wider range of social and political influences. Participants also identified several key contributors to positive mental health, including peer connections that encourage trust, reciprocity, and growth; supportive familial relationships that provide a foundation for wellbeing; access to safe and affirming community spaces for intellectual or creative expression; and engagement in volunteerism or advocacy to establish a sense of purpose and meaning. These findings offer new insights that can extend current responses to youth mental health, including evidence to inform MHP efforts to build and strengthen positive mental health and wellbeing. Findings have the potential to guide policies and programming to enhance wellbeing among youth across the life course.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.026 | 0.007 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".