Kingston Allergy Birth Cohort (KABC); Exposome Characteristics and Parentally- Reported Respiratory Outcomes to Age 2
Bibliographic record
Abstract
Background: The Kingston Allergy Birth Cohort (KABC) is a prenatally-recruited cohort initiated to study the developmental origins of allergic disease. Kingston General Hospital was chosen for recruitment, as it serves a population with notable diversity in exposures relevant to the emerging concept of the exposome. Objective: Establish a profile of the KABC cohort using the exposome framework, and examine parentally-reported respiratory symptoms to age 2. Methods: Data on phase 1 of the cohort (n=560 deliveries) were compiled and multivariate Cox proportional hazard models were used to determine associations with respiratory symptoms. Results: The KABC exhibits diversity within the three exposome domains; “general external” (SES, rural/urban residency), “specific external” (cigarette smoke, breastfeeding, mold/dampness), and “internal” (respiratory health, gestational age). We demonstrate relationships between exposome domains, as residential locale and SES significantly affected characteristics of the home environment. Significant associations emerged between parental reports of wheeze/cough without a cold and exposures within all three domains, including SES, 70 breastfeeding, gestational age, prenatal cigarette smoke exposure, and mold/dampness. Conclusions: The KABC is a unique cohort with diversity that can be leveraged for exposomics- based studies, and a notably high prevalence of prenatal smoke exposure. This study demonstrated the impacts of all three domains of the exposome on the respiratory health of KABC children. Ongoing studies using phase 1 of the KABC are further exploring the internal exposome through allergy skin testing and epigenetic analyses, and the specific external domain through in-home environmental analyses, air pollution modeling and ultimately the potential convergence of the two.
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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 | 0.003 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".