Maternal Depression and Atopic Dermatitis in American Children and Adolescents
Bibliographic record
Abstract
Atopic dermatitis (AD) is a chronic, inflammatory skin disease associated with considerable burden and mental health symptoms. We sought to determine the association of maternal depression in the postpartum period and maternal and paternal depression in later childhood with AD prevalence and persistence in US children. Data were analyzed from the Fragile Families and Child Wellbeing Study, a prospective cohort study of 4898 children born in 20 metropolitan US cities. History of postpartum depression was associated with childhood AD overall (multivariable logistic regression; adjusted odds ratio [aOR], 1.32; 95% confidence interval [CI], 1.06-1.64), and particularly at ages 5 years (aOR, 1.34; 95% CI, 1.04-1.73) and 9 years (aOR, 1.37; 95% CI, 1.10-1.70). Postpartum depression was associated with more persistent AD (present at 2 years: aOR, 1.58; 95% CI, 1.12-2.22; 3 years: aOR, 1.73; 95% CI, 1.15-2.60). Maternal depression in the past year was associated with significantly higher odds of AD at age 5 years (aOR, 1.54; 95% CI, 1.20-1.99), 9 years (aOR, 1.36; 95% CI, 1.10-1.71), and 15 years (aOR, 1.43; 95% CI, 1.13-1.80). Maternal depression was associated with higher odds of AD during 1 year (aOR, 1.50; 95% CI, 1.16-1.94), 2 years (aOR, 1.60; 95% CI, 1.16-2.19), or all 3 years of interviews (aOR, 1.61; 95% CI, 1.06-2.45). In conclusion, maternal depression in the postpartum period and beyond is associated with AD throughout childhood and adolescence.
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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".