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| dc.contributor.author | Masekela, Refiloe | |
| dc.contributor.author | Rutter, Charlotte-E | |
| dc.contributor.author | Mortimer, Kevin | |
| dc.contributor.author | Chiang, Chen-Yuan | |
| dc.contributor.author | García-Marcos, Luis | |
| dc.contributor.author | El-Sony, Asma | |
| dc.contributor.author | Bissell, Karen | |
| dc.contributor.author | Ellwood, Eamon | |
| dc.contributor.author | Pearce, Neil | |
| dc.contributor.author | Asher, Innes | |
| dc.contributor.author | Ellwood, Phillipa | |
| dc.contributor.author | Singh, Nishtha | |
| dc.contributor.author | Khumalo, Anele | |
| dc.contributor.author | Morales, Eva | |
| dc.date.accessioned | 2026-08-03T10:27:04Z | |
| dc.date.available | 2026-08-03T10:27:04Z | |
| dc.date.issued | 2026-04 | |
| dc.identifier.issn | 0905-6157 | |
| dc.identifier.uri | https://sms.carm.es/ricsmur/handle/123456789/27170 | |
| dc.description.abstract | BACKGROUND: Estimating the prevalence and identifying risk factors for allergic rhinitis (AR) provides critical burden of disease data and offers opportunity to intervene in early-life preventing morbidity. METHODS: We conducted a Global Asthma Network (GAN) Phase I cross-sectional study in children (6-7 years) and adolescents (13-14 years). Multilevel logistic regression models were fitted with random intercepts for school, center, and country, adjusting for sex and country income at the child level. Associations between symptoms and a range of lifestyle and environmental risk factors were assessed using odds ratios and corresponding 95% confidence intervals for mean individual and school exposure. Participants provided informed consent/assent, and each center was required to provide proof of ethical clearance. RESULTS: We analysed data from 266,182 children and adolescents across 1688 schools in 65 centers for AR symptoms. Prevalence was 8.5% in children and 13.3% in adolescents. Early-life exposures strongly associated with AR included paracetamol use (OR: 2.03; 95% CI: 1.89-2.18) and antibiotics (OR: 1.67; 95% CI: 1.56-1.78), with a stronger effect for antibiotics in low- and middle-income countries (LMICs). Farm animal exposure increased AR risk among LMIC children (OR: 1.31; 95% CI: 1.12-1.53). In adolescents, computer use (OR: 1.28; 95% CI: 1.22-1.35) and tobacco use (OR: 1.37; 95% CI: 1.29-1.46) were significant risk factors. Heavy truck traffic consistently elevated AR risk in both age groups. CONCLUSION: The prevalence of AR is stable; early-life exposures to animals increased the risk for AR in children from LMICs. Lifestyle factors and poor air quality from traffic-related pollutants increase the risk of AR. | |
| dc.language.iso | eng | |
| dc.publisher | WILEY | |
| dc.rights | Atribución/Reconocimiento 4.0 Internaciona | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/deed.es | * |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Risk Factors | |
| dc.subject.mesh | Adolescent | |
| dc.subject.mesh | Female | |
| dc.subject.mesh | Rhinitis, Allergic/epidemiology/etiology | |
| dc.subject.mesh | Child | |
| dc.subject.mesh | Male | |
| dc.subject.mesh | Cross-Sectional Studies | |
| dc.subject.mesh | Prevalence | |
| dc.subject.mesh | Environmental Exposure/adverse effects | |
| dc.subject.mesh | Income | |
| dc.subject.mesh | Life Style | |
| dc.title | Environmental risk factors for allergic rhinitis differ by income level: A Global Asthma Network survey | |
| dc.type | info:eu-repo/semantics/article | |
| dc.identifier.pmid | 41960793 | |
| dc.relation.publisherversion | https://onlinelibrary.wiley.com/doi/10.1111/pai.70332 | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dc.identifier.doi | 10.1111/pai.70332 | |
| dc.journal.title | PEDIATRIC ALLERGY AND IMMUNOLOGY | |
| dc.identifier.essn | 1399-3038 |