Association of vitamin D with current wheeze and lung function in Canadian children
Bibliographic record
Abstract
Asthma is a common chronic condition affecting Canadian children. Vitamin D modifies airway inflammation and appears important in immunity against respiratory infections, and so is potentially beneficial in asthma. However, to date studies have reported contradictory results on the relationship of vitamin D with respiratory outcomes. The objective of our study was to determine the association of vitamin D levels with current wheeze and lung function. Data on serum 25-hydroxy vitamin D [25(OH)D], respiratory symptoms, and lung function were obtained for 1,213 children aged 6 to 12 years from the Canadian Health Measures Survey. The 25(OH)D levels were categorized into three categories: 49 nmol/l or lower (low); 50 to 74 nmol/l (moderate); and 75 nmol/l or greater (high). The prevalence of current wheeze was 11.4%, 4.1% and 7.7% in the low, moderate and high vitamin D categories, respectively. Multivariate analyses confirmed that children in the low and high 25(OH)D categories were more likely to report current wheeze in comparison to those in the moderate category (odds ratio(OR): 3.26, 95% CI: 1.16-9.17; OR:2.14, 95% CI: 1.07-4.28). Lung function parameters varied significantly between vitamin D levels with the highest mean values observed among children in the moderate vitamin-D category. The dose-response relationship between 25(OH)D levels and respiratory health outcomes was U-shaped with children in the low and high 25(OH)D categories having an increased risk of asthma symptoms and lower mean lung function values in comparison to the moderate 25(OH)D category. Clearer guidelines for optimal serum vitamin D levels are required to improve respiratory health in children.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".