The prevalence of anxiety, stress and depressive symptoms in undergraduate students at the Canadian Memorial Chiropractic College
Bibliographic record
Abstract
Objective (1) Determine the one-week prevalence of moderate to extreme symptoms of anxiety, stress and depression in chiropractic undergraduate students. (2) Determine whether the prevalence varies across gender and year of study. Participants: Undergraduate students at the Canadian Memorial Chiropractic College (CMCC). Methods: A cross-sectional study was conducted in fall 2017 to measure self-reported symptoms of anxiety, stress and depression using the DASS-21. Results: The participation rate was 67.0% (510/766). The one-week prevalence of moderate to extreme symptoms was 19.0% (95% CI: 13.0–25.0) for depression; 32.6% (95% CI: 24.7–40.3) for anxiety and 21.8% (95% CI: 15.6–28.1) for stress. The prevalence of stress varied significantly across gender: 25.4% (95% CI: 20.5–30.3) for females versus 16.3% (95% CI: 11.2–21.3) for males. The one-week prevalence of depressive (24.8%; 95% CI: 17.6–32.0) and anxiety (40.9%; 95% CI: 32.6–49.1) symptoms peaked in second year. Conclusions: Self-reported symptoms of anxiety, stress and depression are common in CMCC students.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".