Childhood emotional abuse and eating symptoms in bulimic disorders: An examination of possible mediating variables
Bibliographic record
Abstract
OBJECTIVE: We sought to estimate prevalences of childhood emotional abuse (CEA) in bulimic and normal-eater control groups, and to replicate previous findings linking CEA to severity of eating symptoms in BN. We also examined potential mediators of the link between CEA and disordered eating. METHOD: Women diagnosed with a bulimic disorder (n = 176) and normal-eater women (n = 139) were assessed for childhood traumata, eating-disorder (ED) symptoms and psychopathological characteristics (ineffectiveness, perfectionism, depression, and affective instability) thought to be potential mediators of interest. RESULTS: CEA was more prevalent in the bulimic than in the nonbulimic group, and predicted severity of some eating-symptom indices. Ineffectiveness and affective instability both mediated relationships between CEA and selected ED symptoms. DISCUSSION: We found CEA to predict eating pathology through mediating effects of ineffectiveness and affective instability. CEA might influence severity of ED symptoms by impacting an individual's self-esteem and capacity for affect regulation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".