Treatment outcomes of psychotherapy for binge‐eating disorder in a randomized controlled trial: Examining the roles of childhood abuse and post‐traumatic stress disorder
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To examine childhood abuse and post-traumatic stress disorder (PTSD) as predictors and moderators of binge-eating disorder (BED) treatment outcomes in a randomized controlled trial comparing Integrative Cognitive-Affective Therapy with cognitive-behavioural therapy administered using guided self-help. METHOD: In 112 adults with BED, childhood abuse was defined as any moderate/severe abuse as assessed by the Childhood Trauma Questionnaire, lifetime PTSD was assessed via the Structured Clinical Interview for DSM-IV, and outcomes were assessed via the Eating Disorder Examination (EDE). Covariate-adjusted regression models predicting binge-eating frequency and EDE global scores at end of treatment and 6-month follow-up were conducted. RESULTS: Lifetime PTSD predicted greater binge-eating frequency at end of treatment (B = 1.32, p = 0.009) and childhood abuse predicted greater binge-eating frequency at follow-up (B = 1.00, p = 0.001). Lifetime PTSD moderated the association between childhood abuse and binge-eating frequency at follow-up (B = 2.98, p = 0.009), such that childhood abuse predicted greater binge-eating frequency among participants with a history of PTSD (B = 3.30, p = 0.001) but not among those without a PTSD history (B = 0.31, p = 0.42). No associations with EDE global scores or interactions with treatment group were observed. CONCLUSIONS: Results suggest that a traumatic event history may hinder treatment success and that PTSD may be more influential than the trauma exposure itself.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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) | 0.000 | 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 it