The Effectiveness of Acceptance and Commitment Therapy (ACT) in Reducing Pain Intensity and Enhancing the Sense of Coherence and Psychological Well-being among the Patients with Chronic Low Back Pain
Bibliographic record
Abstract
Chronic pain is a common, multifactorial problem that requires medical and psychological interventions to be managed. On the other hand, Acceptance and commitment therapy (ACT) is one of the third-wave cognitive-behavioral therapies, which has recently been used to treat the certain psychiatric disorders and to enhance the patients’ psychological status. Therefore, the present study aimed to investigate the effectiveness of acceptance and commitment therapy on reducing pain intensity and improving the sense of coherence and psychological well-being among the patients with chronic low back pain. This quasi-experimental study was performed by a pretest-posttest design with two groups. Also, it had a statistical population including all the patients with chronic low back pain and were present at the neuropsychiatry clinic of Ali ibn Abi Talib Hospital, who were referred to Red Crescent Physiotherapy Clinic in Zahedan from March 2016 to May 2017. Moreover, its sample consisted of 30 patients with chronic low back pain who were selected from all the patients referred to Red Crescent Physiotherapy Clinic in Zahedan, using the targeted sampling method in terms of the inclusion and exclusion criteria. These patients were then assigned into two groups as experimental and control, each one included 15 patients. In addition, the McGill Pain Questionnaire (1997), the Ryff Psychological Well-being Scale (1989), and the Sense of Coherence Scale designed by Flensborg-Madson et al. (2006) were used as data collection tools. To analyze the data, descriptive statistics such as means, standard deviations, and univariate and multivariate covariance analyses were used. The data analysis indicated that, the acceptance and commitment therapy could significantly decrease the pain intensity and its subscales among the patients in the experimental group compared to the control group (p < 0.01). Furthermore, acceptance and commitment therapy significantly increased the sense of coherence and psychological well-being as well as their subscales in the experimental group's patients compared to the control group (p < 0.01). It can be concluded that, acceptance and commitment therapy was effective on reducing the pain intensity and boosting the sense of coherence and psychological well-being among the patients with chronic low back pain. Therefore, the findings represent new horizons in clinical interventions and can be used as an effective intervention method.
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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 | 0.001 |
| 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) | 0.001 | 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".