The Perceived Influence of a Targeted Group Exercise Program on the Well-Being of Women Living with Multiple Sclerosis: A Qualitative Study
Bibliographic record
Abstract
Multiple sclerosis (MS) is the most common neurological condition affecting young adults in Canada; according to the Multiple Sclerosis Society of Canada, in 2013, 3 Canadians are diagnosed daily. Many individuals living with MS experience its debilitating physical symptoms as well as a number of psychological, social, and emotional issues. Although much research has been conducted on the positive effects of physical activity in MS, few qualitative studies have been used to explore this issue in depth. The purpose of this study was to identify the effects of physical activity on the lives of those living with MS and to determine their perception of their overall well-being with a focus on physical, emotional, and social determinants of health. These women identified that being in a group atmosphere and having a competent and motivating program facilitator are key aspects of any exercise program. Likewise, the idea that everyday activities and tasks can be used as a means of physical activity also was mentioned by many participants. As this body of literature continues to grow, patients will have greater access to the stories of others and be able to learn strategies that have been helpful to others in the past. It is expected that in time this information may assist in improving the lives of both men and women who are living with this condition.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".