The Effectiveness of Cognitive-Behavioral Training on Emotional Dyslexia and Distress Tolerance in Infertile Women Undergoing Treatment in Ahvaz
Bibliographic record
Abstract
Introduction: Infertility is a profoundly distressing experience that often leads to psychological challenges and mental health disorders. Throughout the demanding process of infertility treatment, couples, especially women, endure physical, psychological, and social difficulties, including emotional disturbances and reduced tolerance for distressing situations. The present study aimed to examine the efficacy of cognitive-behavioral training (CBT) in improving emotional dyslexia (alexithymia) and distress tolerance among infertile women undergoing treatment in Ahvaz (Iran).Methods: This semi-experimental study employed a pretest-posttest design with a control group. The statistical population included infertile women receiving treatment in Ahvaz, from whom 70 participants were selected via cluster sampling method and randomly assigned to either an experimental or a control group. The research instruments were the Toronto Alexithymia Scale (TAS-20; Bagby, Parker, and Taylor, 1994) and the Distress Tolerance Scale (DTS; Simmons and Gaher, 2005). The intervention comprised nine sessions of CBT-based training following Wildermut’s (2008) therapeutic framework, which was administered exclusively to the experimental group. Data were analyzed using univariate and multivariate analysis of covariance (ANCOVA/MANCOVA).Results: The findings indicated that CBT significantly improved emotional dyslexia (alexithymia) in the experimental group (effectiveness: 47.67%) compared to the control group (56.99%). Similarly, distress tolerance increased by 53.44% in the experimental group versus 34.48% in the control group. Cronbach’s alpha for all variables exceeded 0.70, confirming reliability.Conclusion: Cognitive-behavioral training served as an effective therapeutic-educational intervention, which enhanced distress tolerance and reduced emotional dyslexia (alexithymia) in infertile women.IRCT Registration Number: IRCT20240112060692N.
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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 | 0.000 | 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 | 0.000 |
| 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".