Knowledge of physical activity guidelines for the prevention of cancer: Potential implications for physical activity promotion
Bibliographic record
Abstract
Background: Although regular physical activity (PA) can reduce the risk of developing cancer, only one third of adults meet PA guidelines of 150 minutes per week of moderate-to-vigorous intensity PA (MVPA). Knowledge of PA guidelines for the prevention of cancer may provide an important pre-cursor to PA behaviour change. Objectives: We investigated the extent to which adults living in North America are aware of PA guidelines for the prevention of cancer, and whether knowledge of PA guidelines is associated with self-reported MVPA behaviour. Methods: Socio-demographic characteristics, knowledge of PA guidelines for the prevention of cancer, and MVPA behaviour were self-reported by 654 adults (Mage=36.9±14.6 years; 79.1% female) who lived within Canada and the United States in an online survey. Data were analyzed descriptively and using multinomial unadjusted and adjusted logistic regression modeling. Results: Results showed that 49.2% of the sample was aware of PA guidelines for the prevention of cancer. Also, they showed that greater knowledge of PA guidelines was associated with a greater likelihood of being active (unadjusted OR: 1.66, 95% CI: 1.18-2.34; p
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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 | 0.004 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.007 | 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".