Identification of Overweight in Children in the United States: A Simplified Approach
Bibliographic record
Abstract
The objective of this study was to develop a screening instrument for easy identification of overweight in children and adolescents in the United States. Data derived from the 2000 Growth Charts published by the Centers for Disease Control and Prevention (CDC) were utilized to compute gender-specific screening values for identification of overweight in children and adolescents. Computations were based on age- and gender-specific 85th percentile BMI calculated for the various height percentiles at 6-month age intervals. The simplified approach for identification of overweight in children and adolescents consisted of two tables, one each for males and females. Each table described the screening values for overweight at 6-month age intervals for all the nine height percentiles described in the CDC Stature for Age Tables. Two screening tables for identification of obesity were also developed in a similar manner using age- and gender-specific 95th percentile BMI. The simplified approach described for identification of overweight uses only the child's height and weight measurements and obviates the need to compute BMI or assess BMI percentile scores.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".