A Population-Based Survey of Eczema Prevalence in the United States
Bibliographic record
Abstract
BACKGROUND: Eczema and atopic dermatitis (AD) are recognized as major health problems worldwide. Prevalence estimates are as high as one-third of the population, depending on the country studied, the age range of the subjects, and the diagnostic criteria used. National estimates of prevalence for the US population are lacking. OBJECTIVE: To examine the public health problem posed by eczema, AD, and eczematous conditions in the United States by analyzing disease and symptom prevalence, estimating the number of undiagnosed cases, and assessing comorbidities. METHODS: A self-administered questionnaire was sent to a sample of households (N = 60,000) representative of the US population. A designated member responded with information on symptoms, diagnoses, and impact for affected household members; 42,249 households (70%) responded, representing 116,202 individuals. Empirical eczema was defined by itching/scratching and red/inflamed rash or excessive dryness/scaling. Empirical AD was defined by itching/scratching and red/inflamed rash, excessive dryness/scaling, skinfold location, early onset, symptoms lasting or 14 days, or a physician diagnosis of asthma or of allergic rhinitis or hay fever. RESULTS: Of the population studied, 17.1% reported at least one of four eczematous symptoms; empirically defined eczema was found in 10.7%, and empirically defined AD was found in 6%. Prevalence decreased with increasing income. Approximately two-thirds of individuals with an empirical diagnosis of eczema or AD had moderate to severe symptoms, one-third had sleep disturbances, and one-quarter had chronic unremitting symptoms. Just over one-third (37.1%) of those with symptoms reported a physician diagnosis. Peak onset for empirical AD occurred in the group of subjects aged <or= 5 years. For empirical eczema, peak onset occurred in the group aged 18 to 29 years, and comorbid asthma and hay fever/allergic rhinitis were more prevalent. CONCLUSIONS: A substantial proportion of the US population has symptoms of eczema or eczematous conditions; 31.6 million met the empirical symptom criteria for eczema, and 17.8 million met the empirical criteria for AD. Most cases are not diagnosed by a physician, which indicates that these conditions are undertreated and/or managed with nonprescription remedies.
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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 | 0.001 | 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 | 0.000 | 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".