Prevalence of Overweight and Risk of Overweight Among 3- to 5-Year-Old Chicago Children, 2002-2003
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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) | 0.001 | 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 | 0.001 |
| 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 it