Benefit of Qigong Exercise in Patients With Fibromyalgia: A Pilot Study
Bibliographic record
Abstract
OBJECTIVE: Fibromyalgia (FM) patients present with widespread chronic pain and other symptoms. Some studies in the literature have reported inconsistent results after a Qigong exercise intervention in patients with FM. The purpose of this study was to test the feasibility of a home-based Qigong exercise in patients with FM. METHODS: A total of 14 subjects were randomly assigned into one of two groups. The experimental group went through a six-week Qigong exercise program involving meditation, deep breathing, and synchronized rhythmic body movements. The control group took part in a sham Qigong exercise program using the same body movements also for six weeks. Clinical assessments at baseline and end of intervention used the Short-Form McGill Pain Questionnaire, Multidimensional Fatigue Inventory, Pittsburgh Sleep Quality Index, and Fibromyalgia Impact Questionnaire. RESULTS: Group mean scores of four measurements were significantly (p < .0125) reduced in the intervention group, but not in the control group. The percentage changes in the four measurements were 44.2%, 24.8%, 37.3%, and 44.3% in the intervention group, and 10.1%, 6.3%, 9.9%, and 11.8% in the control group. CONCLUSION: Qigong exercise may potentially be an effective self-management approach in controlling FM symptoms. In this pilot study, regular daily Qigong exercise, accumulated number of exercise sessions, and the specific form of Qigong exercise may all be important factors for the significant improvement in the study subjects. Future research is required to determine whether the same benefit can be obtained in a larger sample.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".