The Effectiveness of Emotional Schema Therapy on Reduction of the Negative Emotional Schemas, Alexithymia and Signs of Patients with somatic Symptoms
Bibliographic record
Abstract
Aim and Background: Somatic symptoms make a significant part of admittances to health centers. Since clinical observations have linked these symptoms with emotions, the present study was conducted to investigate the effectiveness of emotional schema therapy on decreasing negative emotional schemas, Alexithymia And Signs of Patients with somatic Symptoms. Methods and Materials: The present study was a type of semi-experimental research with pre-test post-test design with control group. The population of this study was all female patients with somatic symptoms of Isfahan province and sample included 30 referents from counseling centers of Isfahan and Khomeini shahr with somatic symptoms that were selected based on Judgment sampling and with psychiatrist's and psychologist's discriminant and divided into two experimental (15) and control (15) groups. The experimental group received 12 sessions of emotional schema therapy approach. The Leahy Emotional Schematic Scale (LESS), Toronto Alexithymia Scale (TAS_20), and the B-Score Somatic Symptom Inventory (SSD-12) were used for participants. Data were analyzed using descriptive statistics and multivariate analysis of covariance in SPSS 24. Findings: After the implementation of emotional schema therapy, there was a significant difference in the negative emotional schemas (F: 8. 24, P<0. 008), alexithymia (F: 250. 89, P<0. 001) and somatic symptoms (F: 374. 59, P<0. 001) in the experimental group compared to the control group and the mean scores of the experimental group were significantly lower than the control group.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".