Mediating Role of Alexithymia in the Relationship of Eating Disorders With Body Image in Iranian College Students Using Structural Equation Modeling
Bibliographic record
Abstract
Background and Objectives: Various studies have emphasized the main role of alexithymia and poor in eating disorders. This study aims to investigate the mediating role of alexithymia in predicting eating disorders based on body image in Iranian college students. Methods: This is a descriptive-correlational study using structural equation modeling (SEM). Participants were 369 students of the Islamic Azad University of Qom Branch in 2020-2021, who were selected by a convenience sampling method. Data were collected using the eating attitude test, body image concern inventory, and Toronto alexithymia scale. Data were analyzed by path analysis. Results: The results showed that alexithymia increases the path between body image and eating disorders by 14% (β=0.140), indicating its minor mediating role in predicting eating disorders based on body image. Conclusion: Alexithymia has a minor mediating role in the relationship between eating disorders and body image in Iranian college students. For more understanding of the relationship between eating disorders and body image, it is recommended to assess the possible role of other biological and psychological factors.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".