Predictors of Psychological Well-Being among Veterinary Medical Students
Bibliographic record
Abstract
This study evaluated associations between healthy activities of daily living, common stressors, and psychological well-being among 230 veterinary medical students at Kansas State University. Participants completed the Psychological Wellbeing Scale during the fall semester of 2019. Additionally, students provided information about specific stressors, healthy activities of daily living, and relevant demographic information. Similar to previous studies, participants in this study reported being concerns about heavy workloads, being behind in studies, inefficient study, and academic performance. On average, the students in this study ate fewer than three meals per day, slept less than 7 hours per night, exercised only twice per week, and spent an average of 83 minutes per day on social media platforms. A higher number of daily meals, more days of exercise, and more frequent contact with one's support system, particularly significant others and family members, predicted students' increased psychological well-being. In contrast, lower psychological well-being scores were associated with comparing oneself to others and financial distress. This study identifies potential activities that students can engage in to improve psychological well-being. The discussion section provides specific suggestions for intervention.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".