The prevalence of asthma in Canadian children of South Asian descent
Bibliographic record
Abstract
BACKGROUND: Asthma is the most common disease in childhood. The prevalence of asthma is known to vary greatly between and within countries and among different ethnic groups. In this study, we aimed to determine the prevalence of asthma and wheezing symptoms in South Asian children living in Canada. METHODS: In a cross sectional study, data from the Phase III International Study on Asthma and Allergies in Childhood (ISAAC) were analyzed. A surname algorithm to determine South Asian ethnic descent was used. Prevalence was calculated and compared to non-South Asian children from the same survey and to the reported prevalence from the Indian subcontinent ISAAC III survey for children ages 6-9 and 13-16. RESULTS: The prevalence of asthma and wheezing did not differ between children of South Asian descent and non-South Asians living Canada. When compared to the children living in India, the prevalence of asthma, wheeze, and exercise induced wheeze was significantly higher in the South Asian children living in Canada. Higher body mass index of the child, parental smoking, and pet ownership were strongly associated with asthma and wheeze. CONCLUSIONS: In contrast to other studies these data suggest that South Asian children living in Canada have a similar asthma prevalence to non-South Asian children; both of whom had higher asthma prevalence compared with children residing in South Asia. This suggests that environmental and social factors play a role in asthma prevalence. Risk factors for asthma in children of South Asian descent living in Canada are similar to those of the overall population.
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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 | 0.000 | 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".