Potential Benefits of a Novel Home-Based Exercise Program for Inactive Older Adults: An Exploratory Case Study
Bibliographic record
Abstract
Abstract Background This study proposed a 3-week home exercise program using a square-stepping exercise (SSE) to explore if it could address common barriers and enhance enablers of regular exercise among older adults. Methods Using embedded mixed methods, 10 inactive older adults over the age of 65 completed the proposed program in conjunction with follow-up interviews. Participants were deemed inactive if they took less than 10,000 steps/day over one week. Their physical activity was tracked at home with a pedometer. Results Barriers reached during the proposed program were being uncomfortable in a fitness facility and body image. The proposed program enhanced enablers such as the use of home equipment and easy access. The average total steps/day increased by 27% (p=0.02) and moderate-intensity was reached by 80% of participants when performing the SSE. Conclusion The exercise program addressed the common barriers to exercise and could increase the physical activity level of inactive older adults especially for those intimidated by a fitness facility setting and those concerned with their body image.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.002 | 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".