Gender-Related Interactive Effect of Smoking and Rural/Urban Living on Asthma Prevalence: A Longitudinal Canadian NPHS Study
Bibliographic record
Abstract
The effects of passive smoking on asthma are well documented, however there is limited research conducted to study the relationship of asthma and smoking among adult populations. This article aims to investigate the gender differences when studying the relationship of asthma prevalence and smoking and further explore if rural/urban living affects the relationship over time. The longitudinal National Population Health Survey (NPHS) dataset was used. For analytic purposes five time periods were used. Generalized estimating equation (GEE) approach was used to obtain the odds ratios and 95% confidence intervals. A total of 11,223 participants ranging in age from 18 to 64; 5,382 men and 5,841 women, were included in the baseline time point (1994-1995). Rural/urban living for the present analysis was an effect modifier for the relationship of asthma prevalence and smoking, and this was true only for women. The results showed that female smokers and ex-smokers residing in rural locations were 1.4 times (95% CI: Rural Smokers = 1.02-1.94, and Rural Ex-smokers = 1.02-2.02) more likely to be diagnosed with asthma compared to non-smoking urban women. Results indicate that the combination of living in a rural area and smoking increases the risk of asthma prevalence among women but not among men.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".