Factors Associated with Physical Activity among Medical Students of Jazan University: A Cross-Sectional Study
Bibliographic record
Abstract
BACKGROUND: Physical activity is one of the most important factors that affect human health; it reduces the chances of hypertension, coronary heart disease, stroke, diabetes, breast and colon cancer, and depression.OBJECTIVES: The objectives of this study were to measure prevalence of physical activity and to determine the factors affecting the level of physical activity among medical student in Jazan University.METHODS: A cross-sectional study was conducted among the students of medical colleges of Jazan University. A random sample of 419 was determined using most recent physical activity prevalence. A validated self-administered questionnaire was used for data collection.RESULTS: There is a high prevalence of inactivity among study participants (88.1%). Females (91.7%) were more significantly (p value=0.013) inactive than males (83.8%). The most influential barrier perceived by participants is (heavy) academic work as well as lack of places for physical activity; the latter factor being more effective in hindering female students' physical activity.CONCLUSION: Results revealed that the inactivity rate was very high among medical students. The results of this study call for a well-planned intervention at the university level for improving the level of physical activity among university students.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".