Medical Students Wellness Habits and Perceived Stress Levels, a Cross-Sectional Study of USD SSOM Students.
Bibliographic record
Abstract
INTRODUCTION: Burnout is a syndrome conceptualized as resulting from chronic workplace stress that has not been successfully managed. It includes feelings of energy depletion and cynicism and reduced professional efficacy. Psychological distress among U.S. and Canadian medical students is higher overall relative to both the general population and age-matched peers. Physical activity has been shown to decrease burnout and improve quality of life. In addition, unhealthy eating patterns and poor sleep quality have been linked to elevated levels of stress. METHODS: This is a cross-sectional, survey-based study of medical students currently enrolled at the USD SSOM. All students received an email with the survey. Participation was anonymous and voluntary. We used the Perceived Stress Scale6 and compared it to exercise, dietary, sleep, and mindfulness habits. RESULTS: 147 students responded. The average perceived stress scale score was 16, indicating moderate stress. Most students reported engaging in light exercise either every day (37%) or a few times per week (42%). Fifty percent reported moderate exercise a few times per week. For vigorous exercise, 29% reported a few times per week. Only 63% of students reported eating breakfast compared to 90% for lunch and 99% for dinner. Eating a home cooked meal every day was reported by 52% of students. Twenty five percent of students reported eating out a few times a week. Caffeine intake varied amongst students, with 15% of students having 0 servings of caffeine daily, 23% having 1, 33% having 2, 15% having 3, 7% having 4, and 7% reported more than 4. The average amount of sleep reported was 7.3 hours nightly and the average amount of mindfulness activities per week was 2.4. CONCLUSIONS: The average USD SSOM student reports moderate stress levels. Addressing lifestyle habits can lead to a reduction of stress and burnout.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 | 0.001 |
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".