Association of living in a farming environment with asthma incidence in Canadian children
Bibliographic record
Abstract
<b>Background:</b> Living in a farming environment during early life has been shown to have a protective effect against asthma and this has given rise to the 9hygiene hypothesis9; however, only a limited number of longitudinal studies have been conducted to examine this relationship, to date. <b>Objective:</b> To examine the effect of living in a farm environment on asthma incidence in children in a population-based 14-year follow-up study. <b>Methods:</b> In total, 10,941 children free of asthma and wheeze at the baseline in the National Longitudinal Survey of Children and Youth were considered. Children9s living environment was classified, based on street-level frontage, into three categories: non-rural, rural non-farming and farming. <b>Results:</b> The 14-year cumulative incidence of asthma was 16.50%, 13.12%, and 10.18% for children residing in non-rural, rural non-farming, and farming environments, respectively. After adjusting for potential confounders, children residing in farming environments had a significantly reduced risk of asthma [hazard ratio (HR): 0.56; 95% confidence interval (CI): (0.41, 0.76)] in comparison to those living in non-rural environments. Children residing in rural non-farming environments also had a reduced risk of asthma in comparison to those living in non-rural environments. In an analysis, restricting to children aged 0 to 4 years and considering children living in rural non-farming environments as the comparison group, children living in farming environments had a reduced risk of asthma [HR = 0.59; 95% CI: (0.35, 0.99)]. <b>Conclusion:</b> Our study provides further evidence that living in a farming environment during childhood is protective of asthma incidence in adolescence and adulthood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".