Self-care practices and depression, anxiety, and stress scores in veterinary students during a semester.
Bibliographic record
Abstract
Objective: To measure associations between self-care activities and depression, anxiety, and stress of preclinical veterinary students during a semester. Procedure: Preclinical veterinary students at the University of Calgary Faculty of Veterinary Medicine were recruited voluntarily. Depression, anxiety, and stress scores (DASS-21) were measured, and a self-care questionnaire was administered at the beginning and end of the semester. Results: = 0.047). Conclusion: Self-care activities that were associated with lower depression, anxiety, or stress scores at the beginning or end of the semester included spending at least 15 min daily outside or exercising; spending < 30 min on social media daily; and sleeping 6 to 8 h daily. These practices warrant further investigation. Clinical relevance: Encouraging certain self-care practices among preclinical veterinary students has the potential to enhance their mental health and should be considered part of a veterinary school curriculum.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".