The Efficacy of Qigong on the Main Symptoms of Fibromyalgia. A Randomized Clinical Trial
Bibliographic record
Abstract
Some of the most debilitating symptoms of fibromyalgia (FM) include widespread chronic pain (WCP), sleep disturbances (SD) and chronic fatigue (CF) all that negatively impact health status (HS) in individuals with FM. Yet, there’s a lack of effective self-management exercise interventions capable of alleviating FM symptoms. PURPOSE: To examine the efficacy of a 10-week daily practice qigong program on WCP, SD, CF, and HS in individuals with FM. METHODS: 20 individuals with FM were randomly assigned to one of two groups with participants blinded to the intervention allocation. The experimental group learned, and practiced mild body movements synchronized with deep diaphragmatic breathing and meditation. The control group learned and practiced only the mild body movements (same movements as the experimental group). Both groups were asked to practice the interventions for 10-week, two times per day at home plus one weekly group practice with a qigong instructor. Clinical assessments collected at baseline and upon completion of the intervention were: Short-Form McGill Pain Questionnaire, a visual analog scale for pain graded from 0 (no pain) to 10 (worst possible pain), Pressure Pain Threshold measured by a dolorimeter, the Pittsburg Sleep Quality Index and the Revised Fibromyalgia Impact Questionnaire. WCP score comparisons were made using MANOVA. SD, CF and HS were compared with t-tests. RESULTS: The experimental group experienced greater clinical improvements when compared to the control group with the mean scores differences of WCP, SD, CF, and HS all being statistically significant at p <.05. Within group analysis revealed that the experimental group improved WCP by 35% (p <.01), SD by 34 % (p <.01), CF by 30% (p <.05) and HS by 31 % (p <.01) The control group only presented significant improvement in HS by 21% (p <.05). CONCLUSION: Daily practice of Qigong might have a positive impact on the main FM symptoms that is beyond group interaction and solely mild exercise.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".