The Prevalence of Preadolescent Eating Disorders in the United States
Bibliographic record
Abstract
PURPOSE: The prevalence of eating disorders (EDs) in young children remains relatively unknown. Here, we aimed to assess the prevalence of anorexia nervosa (AN), bulimia nervosa (BN), binge ED (BED), and their subclinical derivatives, among 10- to 11-year-old children in the United States. METHODS: Cross-sectional data from the year 1 sample of the nationwide Adolescent Cognitive Brain Development study were extracted, and unadjusted prevalence of EDs was reported, as per DSM-5 criteria. RESULTS: Among 10- to 11-year-old children in the United States, no cases of AN were reported. The prevalence of BN was negligible, whereas the prevalence of BED was 1.1%. The prevalence of subclinical AN, BN, and BED was 6%, 0.2%, and 0.5%, respectively. DISCUSSION: BED is the most prevalent ED subtype among preadolescent children in the United States, although subclinical markers for all ED subtypes are evident in this age range.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".