Predictors of early and late onset asthma in a rural population of children: The Saskatchewan Rural Health Study
Bibliographic record
Abstract
<b>Background:</b> Certain environmental and familial factors are known to be predictive or protective of asthma in children. We investigated the relationship between risk factors for asthma in children and whether or not these were associated with early or later onset asthma. <b>Methods:</b> Parents of 2383 children living in rural farming regions of Saskatchewan, Canada completed a questionnaire survey evaluating respiratory disease in school age children. Questionnaires were distributed through schools to parents. Data was available for 354 children ages 6 to 17 years with a history of doctor diagnosed asthma. Age of onset of asthma was categorized as either a diagnosis of asthma before the age of 6 (early) or at 6 years or later (late). Independent variables included living on a farm in the first year of life, current location of home (farm/acreage or other), early daycare attendance, sib ship, breastfeeding, history of respiratory allergies, maternal asthma, prenatal smoking, and maternal education (≤ grade 12 or post-secondary) <b>Results:</b> Most children had early onset asthma (75.2%). Neither allergy nor parental allergy differed by earlier or late onset asthma. Prenatal smoking (p< 0.05), and male sex of the child (p <0.01) were associated with early onset asthma while currently living on a farm/acreage or farm life exposure in the first year were associated with late onset asthma (p < 0.05). No associations between early or late onset asthma and attending daycare, length of breastfeeding, sibling order were noted. <b>Conclusion:</b> While a history of allergy may not be time dependent for asthma onset, farm exposure may be more limited to preventing early asthma onset.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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".