Walking cadence: A novel strategy to improve the proportion of inactive older adults who reach the Canadian Physical Activity Guidelines
Bibliographic record
Abstract
Problem: Only 13% of older adults reach the Canadian Physical Activity Guidelines (CPAG) aerobic activity recommendations. Walking cadence (steps per minute) is a strategy proposed to increase walking at the intensity recommended by the CPAG. Methods: Inactive older adults (N = 51) were instructed to walk 150 minutes per week at no specified intensity during phase 1 (6 weeks). In phase 2 (6 weeks), duration was maintained but the group one (N = 23) received instructions on how to reach moderate intensity, using a pedometer and individualized walking cadence, while group two (N = 22) did not. Results: During phase 1, MVPA time and MVPA in 10-minute bouts increased (p ≤ 0.05), and in phase 2 group one continued to increase MVPA time and time in MVPA in 10-minute bouts (p ≤ 0.01), while the group two significantly decreased (p ≤ 0.01). Discussion: Previously inactive older adults can improve time in MVPA in 10-minute bouts, as recommended by the CPAG, by using prescribed walking cadence, a pedometer to track moderate intensity, and practicing walking at this cadence.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".