Exercise prescription: perceptions and physical activity habits in chiropractic students at CMCC.
Bibliographic record
Abstract
BACKGROUND: Health care practitioner's physical activity (PA) habits are associated with their likelihood to recommend PA to their patients. The intent of this project is to better understand the Canadian Memorial Chiropractic College (CMCC) students' perceptions and practices of PA and exercise prescription as this may predict exercise counselling they will provide to future patients. METHODS: A 27-item survey was distributed to Canadian Memorial Chiropractic College (CMCC) students (N = 744). The survey determined the proportion of CMCC students that meet the (2012) Canadian Physical Activity Guidelines. Additionally the survey recorded students' perceptions of PA counselling during patient visits and their own example of maintaining a healthy lifestyle. RESULTS: The response rate for the survey was 46% (N = 343). By using average estimates, it was determined that 72% of the respondents meet the (2012) Canadian Physical Activity Guidelines. 86% of the respondents perceived PA counselling to be usually or always relevant during patient interactions, and approximately 73% believed that exercise counselling is highly relevant to chiropractic practice. Furthermore, at least 88% percent believed that chiropractors must adhere to a healthy lifestyle in order to effectively model a healthy lifestyle to their patients. CONCLUSIONS: A high proportion of CMCC students meet PA guidelines, and perceive PA counselling to be highly relevant and important to patient encounters.
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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 | 0.004 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".