Investigating Gender Differences in Physical Activity Behavior and Social Cognitions among First-Year Medical Students
Bibliographic record
Abstract
This article was migrated. The article was not marked as recommended. Background: Applying the Theory of Planned Behavior, we examined gender differences in physical activity (PA) behavior and social cognitions (SC; i.e., attitudes, perceived behavioral control, intentions and subjective norms) among first-year medical students. Methods: In October 2015, first-year medical students from across Ontario [n=95; 23±2 years (31 males)] completed questionnaires assessing PA levels and SC. Results: Men reported greater moderate-to-vigorous PA (MVPA) per week compared to women (243.3 ± 224.7 min/week vs. 145.4 ± 127.8 min/week, p=0.042). No differences in SC toward PA were observed between genders (all ps>0.05). Bivariate correlations revealed that perceived behavioral control and intentions to participate in PA correlated with MVPA in both genders (all rs>0.348; all ps<0.05); however, attitudes (pleasantness and enjoyment) predicted MVPA solely amongst men (all rs>0.492; all ps<0.001). Conclusions: Findings provide insight into the theoretical constructs that influence medical students' PA, and how these factors may differ between genders. Findings can be used to tailor interventions to increase PA among medical students.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".