Mental Health Symptoms and Functional Impairment in Children With Atopic Dermatitis
Bibliographic record
Abstract
BACKGROUND: The impact of childhood atopic dermatitis (AD) on social and behavioral issues is not well understood. OBJECTIVE: This study sought to determine the prevalence and predictors of social and behavioral symptoms and functional impairment among US children with AD. METHODS: The 1996 to 2015 Medical Expenditure Panel Surveys were analyzed, including a representative, cross-sectional study of 2553 US children with AD. Behavioral and functional issues were examined using Columbia Impairment Scale (CIS) scores. RESULTS: Childhood AD was associated with behavioral and functional problems, particularly nervousness (odds ratio [OR], 1.18; 95% confidence interval [95% CI], 1.06-1.31), home behavior (OR, 1.18; 95% CI, 1.06-1.32), staying out of trouble (OR, 1.18; 95% confidence interval, 1.06-1.31), and relationships with other kids (OR, 1.17; 95% CI, 1.05-1.31) and with siblings (OR, 1.14; 95% CI, 1.02-1.28). Higher CIS scores were present in children with AD versus without AD (adjusted β, 0.62; 95% CI, 0.22-1.02) and with psoriasis (adjusted β, 0.86; 95% CI, 0.22-1.49). Among children with AD, higher CIS scores were notably associated with male sex, older age, lower household income, public insurance, and comorbid depression and anxiety. CONCLUSIONS: AD was associated with behavioral and functional impairment, similar to psoriasis and other common chronic conditions. There are significant sociodemographic differences in CIS scores.
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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 | 0.002 |
| 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 | 0.001 |
| 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".