Normative data for female adolescents with eating disorders on the Children's depression inventory
Bibliographic record
Abstract
OBJECTIVE: Given the importance of assessing depressive symptoms and suicidal ideation in adolescents with eating disorders (EDs), the aim was to provide normative data on the Children's Depression Inventory (CDI) for female adolescents presenting for treatment of an ED. METHOD: The data source was the Helping to Outline Paediatric Eating Disorders (HOPE) Project registry (N = 1000), a prospective, ongoing registry study comprising consecutive pediatric tertiary ED referrals. Females (N = 256; 12-17 years) with DSM-5 EDs completed the CDI at intake. RESULTS: Results on the CDI revealed a pattern of increasing depressive scores with age and higher scores among patients with anorexic spectrum disorders. The prevalence of suicidal ideation was high and had the same pattern as CDI scores. The mean score on the CDI in the sample was higher than community samples and clinical samples of adolescents with post-traumatic stress disorder, obsessive compulsive disorder, and other clinical disorders. DISCUSSION: Females adolescents with EDs are at high-risk of depression and suicidal ideation. These data provide information about variation in CDI scores to guide clinicians in interpretation of scores.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".