Traffic-Related Air Pollution and the Development of Asthma During the First 8 Years of Life-The Piama Study
Bibliographic record
Abstract
ISEE-0228 Background and Objectives: The role of air pollution exposure in the development of asthma and related symptoms remains unclear. We assessed the association between traffic-related air pollution, asthma and related symptoms during the first 8 years of life in a prospective birth cohort study. Methods: We estimated exposure to nitrogen dioxide (NO2), particulate matter (PM2.5) and soot at the birth address by land-use regression models. Associations between air pollution exposures and annual questionnaire reports of (symptoms of) asthma were assessed in a repeated-measures logistic regression analysis in 3,866 children from the PIAMA birth cohort. Effects are presented for an interquartile range increase in exposure, after adjusting for covariates (sex, study type, parental allergies, parental education, maternal smoking during pregnancy, breastfeeding, use of gas stoves and unvented water heaters, presence of siblings, smoking at home, signs of dampness, presence of pets, and nationality). Results: Overall associations [adjusted odds ratio (95% confidence interval)] with air pollution were statistically significant for ever-reporting asthma [i.e. 1.26 (1.07-1.49) per 3.23 μg·m−3 change in PM2.5], asthma symptoms [wheeze and/or shortness of breath and/or prescription of inhalation steroids, 1.13 (1.01-1.27)], wheeze [1.21 (1.09-1.34)], and nocturnal dry cough [1.12 (1.02-1.22)] during the past 12 months. The associations with asthma ever and asthma symptoms during the past 12 months increased slightly with age; associations with wheeze did not change with age. Associations were somewhat stronger for children who lived at the same home during the entire follow-up. Conclusions: Exposure to traffic-related air pollution based on exposure estimated for birth address is positively associated with the development of asthma during the first 8 years of life.
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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 | 0.005 | 0.001 |
| 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 | 0.001 |
| 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 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".