Effectiveness of Group Therapy Based on Acceptance and Commitment on Cognitive Emotion Regulation and Alexithymia of Patients with Type 2 Diabetes
Bibliographic record
Abstract
Introduction: Type 2 diabetes is the most common chronic disease that creates a lot of restrictions for patients and their families.Hence promotion of psychological characteristics of this group has been considered by many therapists.This study aimed at investigating the effect of group therapy based on acceptance and commitment on cognitive emotion regulation and alexithymia of patients with type 2 diabetes.Methods: The present research was semi-experimental with a pre-test and post-test design with a control group.The population of the research included all patients with type 2 diabetes that had referred to health care centers of Ahvaz city, during year 2015.Overall, 30 patient were selected through available sampling method and randomly assigned to 2 equal groups (each group consisted of 15 people).The experimental group took part in eight 90-minute sessions of group therapy based on acceptance and commitment and the control group was placed on the waiting list.Groups completed the Garnefski et al. cognitive emotion regulation questionnaire and Bagby et al.Toronto alexithymia scale as a pre-test and post-test.Data were analyzed by Multivariate Analysis of Covariance (MONCOVA) method and using the SPSS-21 software.Results: The findings showed that there was a significant difference between the averages of cognitive emotion regulation and alexithymia of experimental and control groups in the post-test stage.On the other hand, the method of group therapy based on acceptance and commitment significantly led to an increase in cognitive emotion regulation and decrease in alexithymia of patients with type 2 diabetes (P < 0.01).Conclusions: According to the effect of group therapy based on acceptance and commitment on cognitive emotion regulation and alexithymia, it is suggested for counselors, therapists, and clinical psychologists to use the mentioned method to increase cognitive emotion regulation and decrease alexithymia of patients with type 2 diabetes.
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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) | 0.001 | 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 | 0.000 | 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".