Investigating gender differences in physical activity behaviour and social cognitions towards physical activity among first-year medical students
Bibliographic record
Abstract
Evidence suggests active physicians and medical students are more likely to counsel patients about physical activity (PA) yet many remain inactive. Investigating determinants of medical student PA is a necessary step in developing promotion strategies that foster consistent PA behaviour and counselling throughout the medical career. Research has shown that gender differences in medical student PA behaviour may exist; thus, the purpose of this study was to examine gender differences in PA behaviour and social cognitions (SC) among first-year medical students. Based on the Theory of Planned Behaviour, it was hypothesized that differences in SC towards PA may influence the observed PA habits of medical students. First-year medical students from Ontario [n=95; 23±2 years (31 males)] completed questionnaires assessing PA levels and SC towards PA participation throughout medical school. Males reported greater moderate-to-vigorous PA (MVPA) per week compared to females (M:245±204 min/week vs. F:160±120 min/week, p=0.012). No differences in SC toward PA were observed between genders (all ps>0.05). Bivariate correlations revealed that for males, attitudes and intentions to participate in PA were significantly correlated with MVPA (all rs>0.511; ps0.301; ps
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".