Pretreatment motivational enhancement therapy for eating disorders: A pilot study
Bibliographic record
Abstract
UNLABELLED: Eating disorder patients are notoriously ambivalent about treatment and often lack motivation to change. These characteristics may decrease the number of patients entering treatment and increase the number of patients dropping out of treatment prematurely. OBJECTIVE: The aim of this pilot study was to develop and evaluate a motivational enhancement therapy (MET) group program for eating disorder patients. The goal of the MET intervention was to increase participants' motivation to change, which might be expected to increase the success of future treatment of patients with eating disorders. METHOD: Nineteen individuals who were referred for specialized treatment took part in the study. The intervention was based on existing literature in the field of addictions and modified for eating disorders. RESULTS: The motivational measures suggested that the participants' motivation to change increased following the intervention. A decrease in depressive symptoms and an increase in self-esteem were also found. DISCUSSION: The results of this study suggest that MET could be valuable for the treatment of eating disorder patients and provide a rationale to conduct further research in this area.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".