Incidence and Age-Specific Presentation of Restrictive Eating Disorders in Children
Bibliographic record
Abstract
OBJECTIVES: To document and describe the incidence and age-specific presentation of early-onset restrictive eating disorders in children across Canada. DESIGN: Surveillance study. Cases were ascertained through the Canadian Paediatric Surveillance Program by surveying approximately 2453 Canadian pediatricians (a 95% participation rate) monthly during a 2-year period. SETTING: Canadian pediatric practices. PARTICIPANTS: Pediatricians and pediatric subspecialists. MAIN OUTCOME MEASURES: A description of clinical presentations and characteristics of eating disorders in this population and the incidence of restrictive eating disorders in children. RESULTS: The incidence of early-onset restrictive eating disorders in children aged 5 to 12 years seen by pediatricians was 2.6 cases per 100 000 person-years. The ratio of girls to boys was 6:1, and 47.1% of girls and 54.5% of boys showed signs of growth delay. Forty-six percent of children were below the 10th percentile for body mass index, 34.2% were initially seen with unstable vital signs, and 47.2% required hospital admission. Only 62.1% of children met criteria for anorexia nervosa. Although children with anorexia nervosa were more likely to be medically compromised, some children who did not meet criteria for anorexia nervosa were equally medically unstable. CONCLUSIONS: Young children are seen with clinically significant restrictive eating disorders, with the incidence exceeding that of type 2 diabetes mellitus. These eating disturbances can result in serious medical consequences, ranging from growth delay to unstable vital signs, which can occur in the absence of weight loss or other restrictive eating disorder symptoms.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".