Development and Evaluation of Innovative Peer-Led Physical Activity Programs for Mental Health Service Users
Bibliographic record
Abstract
Mental health service users (MHSUs) have elevated rates of cardiometabolic disturbance. Improvements occur with physical activity (PA) programs. We report the development and evaluation of three innovative peer-developed and peer-led PA programs: 1) walking; 2) fitness; and 3) yoga. Qualitative evaluation with 33 MHSUs in British Columbia, Canada, occurred. These programs yielded improvements for participants, highlighted by powerful narratives of health improvement, and improved social connections. The feasibility and acceptability of innovative peer-developed and peer-led programs were shown. Analyses revealed concepts related to engagement and change. Relating core categories, we theorize effective engagement of MHSUs requires accessibility on three levels (geographic, cost, and program flexibility) and health behavior change occurs within co-constituent relationships (to self, to peers, and to the wider community). This study highlights the benefits of peer involvement in developing and implementing PA programs and provides a theoretical framework of understanding engagement and behavior change in health programs for MHSUs.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| 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".