Exercise behaviour and attitudes among fourth-year medical students at the University of British Columbia.
Bibliographic record
Abstract
OBJECTIVE: To describe the physical activity (PA) levels and counseling attitudes of Canadian undergraduate medical students. DESIGN: Online or paper survey. SETTING: The University of British Columbia (UBC). PARTICIPANTS: Fourth-year medical students at UBC from 2007 to 2010. MAIN OUTCOME MEASURES: Physical activity levels, relationship between exercise behaviour and attitudes toward counseling, and student perception of training in the area of exercise prescription. RESULTS: A total of 546 out of 883 students participated in the survey (62% response rate). Sixty-four percent of students met the Canadian Society for Exercise Physiology 2011 recommendations for PA. Attitudes toward healthy living were related to PA levels, but the rate of counseling patients about exercise was not; however, students who engaged in more strenuous PA were more likely to perceive exercise counseling as being highly relevant to future clinical practice (P = .018). Overall, 69% of students perceived exercise counseling to be highly relevant to clinical practice, but 86% thought that their training in this area was less than extensive. CONCLUSION: Fourth-year UBC medical students engage in more strenuous PA than average age-matched Canadians, which affects their attitudes toward perceived future counseling practices. Encouraging more student participation in strenuous PA and encouraging academic training in the area of exercise counseling might be important next steps in preparing future physicians to effectively prescribe exercise to their patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".