Youth mental health in a Canadian community sample during COVID‐19: Exploring the role of perceived sense of belonging
Bibliographic record
Abstract
Research has linked broad societal changes related to the COVID-19 pandemic and poorer mental health in young people. There remains a pressing need for studies examining the factors that are associated with better mental health and well-being. The current study addresses this gap using a community-based survey called the Waterloo Region Youth Impact Survey. It was designed in partnership with local youth and the Canadian Index of Well-Being in accordance with United Nations International Children's Emergency Fund guidelines. Using a convenience sampling methodology, this survey was developed to explore the domains, rates, and correlates of well-being and mental health among youth during the pandemic (N = 297). Confirmatory factor analysis was used to identify dimensions related to children's social environment (friends, school, family), sense of belonging, mental health, and well-being. Subsequently, a mediation model was tested. The relationship between children's environments and mental health and well-being operated via perceived sense of belonging. Findings shed light on patterns of youth mental health and well-being during the pandemic, illustrating the role of belonging as a promotive factor with public health relevance.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".