Eating disturbances in a school population of preteen girls: Assessment and screening
Bibliographic record
Abstract
OBJECTIVE: To assess the utility of the Children's Eating Attitudes Test (cEAT) questionnaire in screening for interview-ascertained eating disturbances. METHOD: A total of 409 girls, 9-13 years of age, completed a cEDE interview and cEAT questionnaire. RESULTS: 14.7% of girls reported eating disturbances in the past month on the cEDE. Mean cEDE score was 0.3 +/- 0.6 and mean cEAT score was 5.9 +/- 5.9. The cEAT demonstrated low sensitivity but high specificity at a cutoff score of 20, and poor positive predictive value when lower cutoff scores were used. CONCLUSION: Eating disturbances were common but mild in this preteen group. The cEAT was not an efficient screening tool for interview-ascertained mild eating disturbances in preteen girls.
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 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) | 0.000 | 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 | 0.000 | 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".