Effect of Acceptance and Commitment Therapy on Depression, Chronic Fatigue, and Pain Intensity in Patients with Fibromyalgia Syndrome: A Study with Expectancy Effect
Bibliographic record
Abstract
Aims: Patients with Fibromyalgia Syndrome (FMS) have very low psychological flexibility that can lead to severe pain, depression, and other psychiatric disorders. This study aims to evaluate the effect of Acceptance and Commitment Therapy (ACT) on depression, chronic fatigue and pain intensity in patients with FMS. Methods & Materials: This is a quasi-experimental study with a pretest/posttest/follow-up design. A total of 40 patients with FMS referred to Bu Ali Hospital in Tehran, Iran during 2019-2020 were selected using a convenience sampling method and randomly assigned into two groups of intervention (n=20) and wait-list control (n=20). The group ACT was presented at 8 sessions for both groups. Participants completed the Beck Depression Inventory, the McGill Pain Questionnaire, and Krupp’s Fatigue Severity Scale before, immediately after, and three months after the intervention. Repeated measures Analysis of Covariance was used to analyze the collected data. Findings: Treatment based on ACT method had a significant effect on reducing depression, chronic fatigue, and pain intensity in patients with FMS (P=0.001). Conclusion: ACT can reduce depression, pain severity, and chronic fatigue through acceptance of and adaptation to the disease conditions and better interpersonal relationships.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".