Initial Findings From Project Recover: Overcoming Co‐Occurring Eating Disorders and Posttraumatic Stress Disorder Through Integrated Treatment
Bibliographic record
Abstract
This pilot study is the initial investigation of an integrated cognitive behavioral therapy (CBT) for co-occurring eating disorders (ED) and posttraumatic stress disorder (PTSD). Following a course of intensive hospital-based ED treatment focused on ED behavioral symptom interruption, 10 individuals with ED-PTSD received 16 sessions of CBT that focused on maintaining improvements in ED symptoms outside of the hospital environment and integrated cognitive processing therapy for PTSD. We hypothesized that the treatment would be associated with significant improvements in PTSD symptoms, depression, and anxiety, as well as sustained improvements in ED symptomatology. There were statistically significant improvements in clinician-rated PTSD symptoms (gav = 4.58), depression (gav = 1.37), and anxiety (gav = 1.00). As expected, there was no statistically significant change in ED cognitions (gav = .28). Reliable change analyses revealed that only 1 participant experienced deterioration in ED cognitions over the course of the integrated treatment. Of the 9 participants who were remitted from behavioral ED symptoms at the end of intensive treatment/beginning of the integrated treatment, 8 remained behaviorally remitted at poststudy treatment, which is encouraging given the high rate of rapid relapse following intensive ED treatment. Findings from this study provide preliminary support for the efficacy of an integrated CBT for ED-PTSD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".