National, State, And Local Disparities In Childhood Obesity
Bibliographic record
Abstract
New data from the 2007 National Survey of Children's Health show that the percentage of children ages 10-17 who are overweight (body mass index in the eighty-fifth to ninety-fourth percentiles) remained stable, while the national prevalence of obesity (BMI in the ninety-fifth percentile and higher) grew significantly, from 14.8 percent in 2003 to 16.4 percent in 2007. This increase in obesity accounted for the entire increase in the combined prevalence of overweight and obesity between 2003 and 2007 (from 30.6 percent to 31.6 percent). An estimated 10.58 million children, or nearly one in three children ages 10-17, were overweight or obese in 2007. Our findings suggest that the obesity epidemic among children may not yet have reached its plateau for some groups of children. The data also reveal persistent and highly variable disparities in childhood overweight and obesity within and among states, associated with socioeconomic status, school outcomes, neighborhoods, type of health insurance, and quality of care. This requires policy makers' attention nationally and within states.
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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 | 0.000 |
| 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 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".