Paving the Path to Wellness for Stroke Survivors: A Lifestyle Medicine Group Intervention
Bibliographic record
Abstract
BACKGROUND: Stroke is the leading cause of disability and the second-most leading cause of mortality. Stroke has both physical and psychological impact on the lives of stroke survivors. Lifestyle modifications have a pivotal role in post-stroke management care. The Paving the Path to Wellness Program (PPWP) is a 12-week program offered to stroke survivors at Spaulding Rehabilitation Center following discharge. The program encompasses the following domains: physical activity, nutrition, stress management, time-outs, energy, sleep, purpose, and social connections. OBJECTIVE: The purpose of this pilot study was to evaluate the effectiveness of the PPWP on the recovery of stroke survivors. METHODS: Three stroke survivors who participated in the program were interviewed following completion of the program. RESULTS: The results showed the PPWP had a positive impact on physical health (e.g., increased physical activity, weight loss, nutrition awareness, and better stress management); helped to create a new purpose (e.g., happiness, satisfaction, and well-being); and improved the social life of the participants (better awareness and importance of friends and family). CONCLUSIONS: Next steps are to study this program in a larger stroke population and examine long-term effects.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".