Associations of Childhood Eczema Severity: A US Population-Based Study
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Little is known about the predictors of eczema severity in the US population. OBJECTIVES: We sought to determine the distribution and associations of childhood eczema severity in the United States. METHODS: We analyzed the data from the 2007 National Survey of Children's Health, a prospective questionnaire-based study of a nationally representative sample of 91,642 children (range, 0-17 years). RESULTS: The prevalence of childhood eczema was 12.97% (95% confidence interval [95% CI], 12.42-13.53); 67.0% (95% CI, 64.8-69.2) had mild disease, 26.0% (95% CI, 23.9-28.1) had moderate disease, and 7.0% (95% CI, 5.8-8.3) had severe disease. There was significant statewide variation of the distribution of eczema severity (Rao-Scott χ, P = 0.004), with highest rates of severe disease in Mid-Atlantic and Midwestern states. In univariate models, eczema severity was increased with older age, African American and Hispanic race/ethnicity, lower household income, oldest child in the family, home with a single mother, lower paternal/maternal education level, maternal general health, maternal/paternal emotional health, dilapidated housing, and garbage on the streets. In multivariate survey logistic regression models using stepwise and backward selection, moderate-to-severe eczema was associated with older age, lower household income, and fair or poor maternal health but inversely associated with birthplace outside the United States. CONCLUSIONS: These data indicate that environmental and/or lifestyle factors play an important role in eczema severity.
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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 | 0.000 |
| 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 it