Childhood maltreatment, alexithymia and eating disorder psychopathology: A mediation model
Bibliographic record
Abstract
BACKGROUND: The relationship between childhood maltreatment and eating disorder psychopathology has been under-investigated. OBJECTIVE: The purpose of this study was to investigate the role of alexithymia in mediating the relationship between childhood maltreatment experiences and eating disorder (ED) symptoms. PARTICIPANTS AND SETTING: One-hundred-forty-three women with anorexia nervosa, 110 women with bulimia nervosa and 108 healthy women filled in the Eating Disorder Inventory-2, the Childhood Trauma Questionnaire and the Toronto Alexithymia Scale-20 (TAS-20). METHODS: A mediator path model including childhood trauma types as predictors, the subscales of the TAS-20 as mediators and ED specific symptoms as dependent variables was conducted in individuals with EDs and in healthy women. RESULTS: In women with EDs emotional abuse was directly associated with body dissatisfaction and was associated to drive to thinness, bulimia and body dissatisfaction through the mediation of difficulties to identify emotions. In healthy women, physical neglect was directly associated to drive to thinness and bulimia, but no significant mediation effect through alexithymia emerged. CONCLUSION: Impaired emotion recognition mediates the association between childhood emotional abuse and ED symptoms. Individuals with early emotional abuse may experience ED symptoms to manage confused emotional perceptions. Improving emotional understanding and acceptance may be a treatment target in early maltreated individuals with EDs.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".