The effectiveness of therapy based on the acceptance and commitment in reducing the pain intensity in patients suffering from functional gastrointestinal syndrome
Bibliographic record
Abstract
Functional gastrointestinal syndrome is a common disorder characterized by frequent symptoms of the gastrointestinal tract. Suffering from functional gastrointestinal tract syndrome causes several mental disorders in the affected person. To this end, the purpose of this study is to use therapy based on the acceptance and commitment to improve the severity of pain experience in these patients. In this study with semi-experimental approach, 30 women were selected through available sampling method from all women with functional gastrointestinal disorders in Isfahan city, who had referred to Isfahan health center clinic. Then all of the subjects completed the McGill pain questionnaire and then it was performed on the admission and commitment treatment group, at 8-sessions. Analysis of the findings by using covariance test showed that there is a significant difference between test and control groups in the pain experience at a significant level of 0.05 (P <0.05). The chronic course of the disease is associated with significant psychological discomfort, social and occupational dysfunction and extreme behavior in seeking medical assistance. Training or therapy programs based on the improvement of pain experience can reduce the pain of these patients and prevent imposing the extra expenses for treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".