Levels of Psychological Distress of Canadian University Student-Athletes
Bibliographic record
Abstract
The mental health of Canadian university students is fairly well researched, but there is relatively little evidence concerning the mental health of Canadian university student-athletes. Recent research in the United States and Canada has suggested that mental health (e.g., anxiety and depression) differs between student-athletes and student non-athletes. However, the results are ambivalent as to whether student-athletes experience more or less psychological distress than their non-athlete peers. To address this gap, the purpose of the current study was to measure the levels of psychological distress in a national sample of 284 university student-athletes. Each athlete completed the Kessler Psychological Distress Scale (K6; Kessler et al., 2002) via a secure online platform. The average score on the K6 for student-athletes was 8.2 out of 24; 19.8% of the sample surpassed the cut-off for assessing the prevalence of severe mental illness. A regression analysis found that gender, starting status, and scholarship status significantly predicted levels of psychological distress. Females, non-starters, and student-athletes without a scholarship were associated with increases in K6 scores.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 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".