Adherence during an individualized home based 12-week exercise program in women with fibromyalgia.
Bibliographic record
Abstract
OBJECTIVE: Treatment recommendations for fibromyalgia (FM) include regular physical exercise. In this prospective study we examined predictors for adherence to stretching and aerobic exercises in women provided with an individualized home based program. METHODS: Thirty-nine women kept exercise diaries for 12 weeks. RESULTS: For both types of exercise, women who were less physically fit at baseline engaged in more exercise during the program. Yet for stretching, more lower body pain at baseline predicted engaging in less stretching exercise over time, whereas for aerobic exercise, more baseline upper body pain predicted more exercise over time. As time passed, participants with higher baseline physical fitness and/or older age were reducing their aerobic exercise practice at significantly faster rates, as were those women with higher baseline stress. CONCLUSION: Given that adequate levels of adherence were limited to about half of the participants for both types of exercise, steps to reduce barriers to exercise (e.g., stress) need to be taken when prescribing exercise in the treatment of FM.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".