Physical activity level of medical students: Is there a family effect
Bibliographic record
Abstract
Background: Sedentary lifestyle is common in various age groups all over the world and it is an important public health issue because of its adverse effects on health. Taking actions against inactivity among medical students is important because they will become role models for their patients as future doctors. In this research, physical activity (PA) frequency and factors affecting participation in PA among medical students were studied. Methods: Six hundred sixty-eight medical students from Gazi University Medical Faculty took part in the study. The students answered sociodemographic questions in addition to completing the Global Physical Activity Questionnaire (GPAQ). Results: One-quarter (24.9%) of the participants did no physical activity. Logistic regression indicated that being female (OR: 1.7), father’s inactivity (OR: 2.2), and family income less than 4500 TL (OR: 1.5) were significant factors in not doing PA among the medical students. Conclusions: As medical students will play a critical role in improving public health as future doctors, intervention programs should be encouraged in order to increase the PA level of medical students to create a healthy lifestyle habit.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".