Eating disorder subtypes differ in their rates of psychosocial improvement over treatment
Bibliographic record
Abstract
BACKGROUND: Individuals with Anorexia Nervosa (AN) are renowned for their poor short- and long-term treatment outcomes. To gain more insight into the reasons for these poor outcomes, the present study compared patients with AN-R (restrictive subtype), AN-BP (binge-purge subtype), bulimia nervosa (BN), and eating disorder not otherwise specified (EDNOS) over 12 weeks of specialized eating disorders treatment. Eighty-nine patients completed the Eating Disorder Examination- Questionnaire (EDE-Q) and various measures of psychosocial functioning at baseline, and again after weeks 3, 6, 9, and 12 of treatment. RESULTS: Multilevel modeling revealed that, over the 12 weeks, patients with AN-BP and AN-R had slower improvements in global eating disorder pathology, shape concerns, and self-compassion than those with EDNOS and BN. Patients with AN-BP had slower improvements in shame, social safeness (i.e., feelings of warmth in one's relationships), and received social support compared to those with AN-R, BN, and EDNOS. CONCLUSIONS: These findings support the need for more effective and comprehensive clinical interventions for patients with AN and especially AN-BP. Results also highlight not-yet studied processes that might contribute to the poor outcomes AN patients often face during and after treatment.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".