Eating Disorders in Individuals with Type 1 Diabetes: Case Series and day Hospital Treatment Outcome
Bibliographic record
Abstract
Women with type 1 diabetes are at high risk for eating disorders (ED), a combination that can increase medical complications and mortality. As little is known about treatment response in this population, clinical presentation and treatment outcome in an extended case series were assessed. A chart review at the Eating Disorders Day Hospital Program at Toronto General Hospital identified a total of 100 individuals with type 1 diabetes assessed 1990-2012. Of 37 who attended day hospital, most experienced improvement in ED symptoms, but only 18.8% had a good immediate treatment outcome, while 43.8% had an intermediate outcome and 37.5% had a poor outcome (meeting diagnostic criteria at discharge). This is poorer than program outcomes in individuals without diabetes (χ(2) = 12.2, df = 2; p = 0.002). Factors influencing treatment engagement and outcome must be further studied and used to improve treatment results in this high-risk group.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".