Prevalence of allergic rhinitis, related comorbidities and risk factors in schoolchildren
Bibliographic record
Abstract
BACKGROUND: The study aimed to determine the prevalence and risk factors of allergic rhinitis and related comorbidities in school-age children in Budapest, capital of Hungary. Data and epidemiological studies on this disease are still limited. METHODS: A cross sectional study was conducted in 21 representative and randomly selected primary schools in 2019. International Study of Asthma and Allergies in Childhood-based questionnaires (n = 6869) inquiring about prevalence and related risk factors of allergic rhinitis were distributed to all parents. The data were characterised with standard descriptive statistics: frequencies (percentages) and means for categorical and quantitative data, respectively. RESULTS: 3836 of the questionnaires (1857 M/1979F) were completed. The prevalence of current allergic rhinitis was 29.3% (1043), physician-diagnosed allergic rhinitis was 9.7% (373), cumulative allergic rhinitis was 36.2% (1289) and current allergic rhinoconjunctivitis was 16.2% (577). The presence of physician diagnosed atopic disease-asthma (p < 0.0001, OR = 4.398, 95% CI 3.356-5.807), food allergy (p < 0.0001, OR = 2.594, 95% CI 1.995-3.378), and eczema (p < 0.0001, OR = 1.899, 95% CI 1.568-2.300)-were significantly related to an increased risk of cumulative allergic rhinitis. Significant factors associated with allergic rhinitis include male gender (p < 0.0001), family history of atopy (p < 0.0001), frequent upper respiratory tract infections (p < 0.0001), tonsillectomy (p = 0.0054), antibiotics given in the first year of life (p < 0.0001), paracetamol given in the first year of life (p = 0.0038), long-lasting common infections caused by viruses and/or bacteria before the appearance of the allergy (p < 0.0001), consumption of drinks containing preservatives or colourants (p = 0.0023), duration of living in Budapest (p = 0.0386), smoking at home (p = 0.0218), smoking at home in the first year of life (p = 0.0048), birds at home (p = 0.0119), birds at home in the first year of life (p = 0.0052), visible mould in the bedroom (p = 0.0139), featherbedding (p = 0.0126), frequent or constant heavy-vehicle traffic (p = 0.0039), living in a weedy area (p < 0.0001) and living in the vicinity of an air-polluting factory or mine (p = 0.0128). CONCLUSIONS: The prevalence of allergic rhinoconjunctivitis in 6-12-year-old children in Budapest is higher than reported for most of the surrounding European countries. While asthma (OR = 4.398) is the most significant comorbidity, environmental factors such as birds at home in the first year of life (OR = 2.394) and living in a weedy area (OR = 1.640) seem to be the most important factors associated with AR. Strategies for preventive measures should be implemented. TRIAL REGISTRATION NUMBER: KUT-19/2019. The study was approved by the Ethics Committee at Heim Pál National Pediatric Institute.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".