Indoor allergen exposure, sensitization, and development of asthma in a high-risk birth cohort
Bibliographic record
Abstract
Contradictory findings have been observed for the association of house dust mite (HDM), cat, and dog allergen exposure with sensitization and asthma. We sought to determine the relationship between exposures to these allergens, at various points during early childhood, and specific sensitization and asthma at age 7 in a high-risk birth cohort. As part of a multi-faceted Canadian intervention program for the primary prevention of asthma in high-risk infants, children were assessed by pediatric allergists at age 7 for asthma and underwent allergy skin prick testing. House dust samples were analyzed for HDM, cat, and dog allergen levels at several time points during years 1 and 7 of life. Multiple logistic regression analyses were carried out for the combined cohort and separately for the control and intervention groups. Exposure to a higher level of HDM allergen in year 1 or year 7 was associated with a higher risk of year 7 sensitization to HDM but not asthma. Exposure to higher levels of cat allergen in year 1 or year 7 did not affect the risk of year 7 sensitization to cat or asthma. Dog ownership, or exposure to higher levels of dog allergen in year 1 or year 7, did not affect the risk of year 7 sensitization to dog; however, year 7 dog allergen exposure (intervention group only) or ownership was associated with increased year 7 asthma risk. Our findings suggest that in high-risk children, there are allergen-specific associations of exposure with sensitization and with asthma; early life-elevated HDM exposure was associated with risk of sensitization but not asthma while the opposite was true for dog exposure.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".