The Effectiveness of Mindfulness-based Stress Reduction (MBSR) on the Pain Index in opioids dependent in the Detoxification Phase, a randomized controlled trial
Bibliographic record
Abstract
Introduction: Addiction is a progressive and has physiological and psychological consequences. One of the physical consequences of drug using is pain. Objectives: The objective of this study was to investigate the effectiveness of Mindfulnessbased Stress Reduction on reducing pain index in patients under treatment in detoxification phase. Methodology: In a single-site experimental study, a randomized clinical trial with control and pre-test and post-test group of fifty (N =50) males (ages 18-38 with an average age of 26.6) in the detoxification phase were selected among the patients admitted to the camp Residents of Karaj city through randomized sampling and were randomly assigned to experimental groups (n=25) and control (n=25) using Excel Office software. The experimental group received 12 sessions (3 sessions per week and 50 minutes each session) of group treatment of mindfulness, and the control group received only routine center treatment. Then, the two groups were evaluated in two stages of pre-test and post-test by McGill's Pain Questionnaire (response rate = 91%) in three sensory, emotional and neuropathic levels. Participants received twice-weekly urine tests with a threshold of three hundred ng / ml in order to ensure adherence to avoidance. Data were analyzed by parametric tests of multivariate covariance analysis. Also, qualitative data derived from demographic evaluations were analyzed using Atlas.ti-5.2 qualitative analysis tools. Results: The results showed that the mindfulness treatment had a significant effect on the improvement of sensory pain indices with a confidence interval of 21.32 (16.90-25.74) and neuropathic with a confidence interval of 20.92 (16.20-25.64) (P<0.01), although the effectiveness of the above treatment on the emotional pain component (confidence interval of 17.24-20.74; 24.24) was not significant (P >0.05). Conclusion: The findings of this study, in line with the research background, show the effectiveness of emerging therapies, including mindfulness, on the modulation of pain indices. The findings, while providing a clear perspective within the framework of psychological therapies, can be significant in the area of addiction and designing effective interventions.
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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) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".