Prevalence of Overweight and Risk of Overweight Among 3- to 5-Year-Old Chicago Children, 2002-2003
Bibliographic record
Abstract
This article reports the first estimates of overweight prevalence in Chicago children entering school (aged 3-5 years). Chicago data are compared with those from the National Health and Nutrition Examination Survey (NHANES) and the Early Childhood Longitudinal Study (ECLS). Data were from 2 separate convenience samples of children aged 3-5 years attending either 18 Chicago Public Schools or 10 Chicago Catholic School pre-K programs (n = 1517). Data were taken from students' Certificate of Child Health Examination (CCHE), completed by a health professional. Overall, the prevalence of overweight subjects (body mass index >or=95th percentile) was 24%, more than twice that of the national prevalence of 10% for 2- to 5-year olds documented by NHANES (1999-2002) and 3 times that of the 1998-1999 ECLS prevalence estimate of 8% for 5- to 7-year olds in the Midwest region. The data reported here document that nearly one quarter of children entering school in Chicago are already overweight. This clearly establishes a need for local schools to develop protocols and procedures to support the physical and mental health needs of affected and at-risk children. The findings also make it plain that ongoing weight status monitoring is needed and that current plans to implement this should go forward.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 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".