Rural Dwelling and Temporal Trends in Relation to Childhood Asthma and Related Conditions in Belarus: A Repeated Cross-sectional Survey
Bibliographic record
Abstract
There is a lack of asthma research in Belarus, with no investigation of temporal trends. The purpose of the study was to determine the prevalence of asthma and related conditions comparing urban and rural children while investigating temporal changes in the region of Grodno, Belarus. A repeated cross-sectional survey design was used. Parents completed surveys on behalf of the child. Data collection was based on the International Study of Asthma and Allergies in Children (ISAAC) survey and included 5020 urban and rural children aged 7-15 years in 2009-2010 and 4953 children in 2014 from the Grodno Region. Asthma prevalence in 2009 was 1.4% compared with 1.8% in 2014, whereas spastic bronchitis prevalence was higher (2009: 6.8%; 2014: 8.5%). After adjustment for confounders, rural dwelling showed a statistically significant inverse association with each of the allergic conditions or symptoms. However, asthma (odds ratio [OR] = 1.01, 95% confidence interval [CI] = 0.69-1.50) was not associated with rural dwelling. A diagnosis of asthma was more likely in 2014 compared with 2009 (OR = 1.57, 95% CI = 1.05-2.33), as was spastic bronchitis (OR = 1.26, 95% CI = 1.06-1.51). Maternal smoking was associated with the presence of respiratory symptoms. The data showed that the prevalence of diagnosed asthma was comparable between urban and rural areas but lower than other regions, there was generally an increase in the prevalence of asthma and related conditions, and that temporal changes did not vary by urban-rural status. The prevalence of spastic bronchitis was over 3 times higher than that of asthma. These findings also suggest that the presence of undiagnosed asthma in children is occurring in the Grodno Region.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".