A Longitudinal Assessment Of Asthma And Wheeze Among Rural Dwelling Children
Bibliographic record
Abstract
Introduction: There is evidence that farm dwelling children are at lower risk of asthma than urban children. However, longitudinal investigation has been rare in rural populations. The aim of our study was to determine if farm dwelling and farming exposures were associated with incident asthma or wheeze among Grade 1 to 8 students. Methods: We conducted a longitudinal study in a rural region of Canada. Baseline (2011, n=2383) and follow-up (2014, n=859) data was collected using parent completed surveys. Baseline surveys were distributed through the schools while follow-up surveys were distributed using postal methods. Outcomes of interest included report of wheeze or a physician diagnosis of asthma at follow-up. Associations between these outcomes with farm dwelling and farming exposures (e.g. haying, feeding livestock) were examined while adjusting for potential confounders. Longitudinal analyses were conducted with children without a history of asthma or wheeze on the baseline survey (n=612). Results: Mean baseline age was 10.0 years (SD=2.6). Farm dwellers had a lower incidence of asthma (Non-farm: 4.0 per 100/3 years; Farm: 2.1 per 100/3 years) but not wheeze (Non-farm=3.8 per 100/3 years; Farm=4.2 per 100/3 years). Farm dwelling was inversely associated with incident asthma [adjusted Relative Risk (aRR)=0.33; 95% confidence interval (CI)=0.11-0.99; p0.05). Presence of a dog at baseline increased the risk of incident asthma while prior daycare attendance was protective of incident asthma (p
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".