A Decade of Counseling Services in One College of Veterinary Medicine: Veterinary Medical Students' Psychological Distress and Help-Seeking Trends
Bibliographic record
Abstract
Much has been discussed about the high prevalence of psychological distress among veterinary medical students. Studies investigating general samples of veterinary medical students indicate that, on average, depression and anxiety symptoms are present at higher rates than in comparison samples. However, little is known about veterinary medical students who seek counseling. This study intends to expand the literature on veterinary student well-being, as the first to examine a sample of veterinary medical students seeking counseling services. It offers an overview of student distress and help-seeking trends from a decade of counseling services provided in one College of Veterinary Medicine (CVM) in the US. The sample includes data from 279 participants. Results indicate a steady increase in students seeking counseling over the last decade. First-year students sought services at higher rates but second-year students experienced the greatest distress when compared to other cohorts. Students seeking counseling services experienced levels of overall distress, symptoms of anxiety and depression, and social role concerns that were, on average, above cut-off scores. Physical health was significantly associated with student distress, suggesting opportunities for intervention.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".