Somatization Mediates the Structural Relationship of Alexithymia with Anxiety and Depression
Bibliographic record
Abstract
Objective: The study of factors affecting anxiety and depression as the most common emotional disorders has always been at the forefront of psychological research. Among different factors, alexithymia and somatization have considerable importance due to their emotional nature with makes them more integrated with anxiety and depression. Several studies have demonstrated a link between these four concepts, but as far as we know, the quality of the relationship has not been addressed yet. The present paper aims to investigate the mediating role of somatization in the structural relationship of alexithymia with anxiety and depression. Method: A total of 334 college students were recruited through cluster sampling and were asked to complete the Toronto Alexithymia Scale (TAS), Beck Depression Inventory – Second Edition (BDI-II), Beck Anxiety Inventory (BAI), and Somatization Subscale from the Symptom Checklist-90-Revised Questionnaire. Data were analyzed using correlational as well as structural equation modeling. Results: Based on the correlation analysis, there was significant relationship between alexithymia, somatization, anxiety, and depression. According to the results of regression weights, there is a moderate relationship between alexithymia and somatization (regression weight = 0.44). The relationship between somatization and depression is at moderate level (regression weight = 0.42) and the relationship of somatization with anxiety is at strong level (regression weight = 0.85). the goodness of fit indices for the hypothetical model showed significant coefficients at P < 0.05 (CFI = 0.98, RMSEA = 0.059). Conclusion: Findings indicated the important and influential role of somatization in explaining the relationship of alexithymia with anxiety and depression. Therefore, it seems that emotional components such as difficulty in identifying and expressing emotions as well as regulating mood states are important in the psychopathology of emotional disorders.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".