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Worldwide Impact of Human Development and Inequality on the Prevalence of Asthma, Rhinoconjunctivitis and Eczema. Global Asthma Network's Ecological Study

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dc.contributor.author García-Marcos, Luis
dc.contributor.author Chiang, Chen-Yuan
dc.contributor.author Asher, M-Innes
dc.contributor.author Marks, Guy-B
dc.contributor.author El-Sony, Asma
dc.contributor.author Masekela, Refiloe
dc.contributor.author Bissell, Karen
dc.contributor.author Ellwood, Eamon
dc.contributor.author Ellwood, Philippa
dc.contributor.author Pearce, Neil
dc.contributor.author Strachan, David-P
dc.contributor.author Martínez-Torres, A-Elena
dc.contributor.author Sánchez-Solís, Manuel
dc.contributor.author Mortimer, Kevin
dc.contributor.author Morales, Eva
dc.date.accessioned 2026-08-03T10:30:55Z
dc.date.available 2026-08-03T10:30:55Z
dc.date.issued 2026-06-04
dc.identifier.issn 0954-7894
dc.identifier.uri https://sms.carm.es/ricsmur/handle/123456789/27236
dc.description.abstract BACKGROUND: Lower-income countries have lower asthma prevalence. However, how differences in human development and inequality can explain changes in the prevalence of asthma and allergic diseases is not known. METHODS: The Global Asthma Network Phase I study reported prevalence of asthma and allergic diseases in children (6-7 years), adolescents (13-14 years), and their parents/guardians in 16, 25 and 17 countries. Gini inequality index (GinI) and human development index (HDI), together with mean annual relative humidity and temperature, and latitude, were used as potential explanatory factors of prevalence differences using meta-regression models, fitted values and heatmaps of prevalence. RESULTS: GinI and HDI explained some proportion of asthma prevalence variability, which was highest in children (up to ~70% for disease indicators such as current wheeze or symptoms of severe asthma) and lowest in adolescents (~22% for symptoms of severe asthma or asthma ever). Rhinoconjunctivitis prevalence variability was poorly explained by covariates (from ~53% for current rhinoconjunctivitis among children-an exception-to none). Eczema indicators were explained in a range from ~60% in children (current eczema symptoms and symptoms of severe eczema) to ~12% in adolescents (current eczema symptoms). Overall, heatmaps showed areas of higher prevalence in the intersection of high GinI and high HDI values. CONCLUSIONS: HDI and Gini explain part of the worldwide variability in the prevalence of asthma, rhinoconjunctivitis, and eczema. This explanatory power is highest for asthma and lowest for rhinoconjunctivitis. Lower-resourced communities in highly developed countries show the greatest hazard, particularly for asthma.
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.title Worldwide Impact of Human Development and Inequality on the Prevalence of Asthma, Rhinoconjunctivitis and Eczema. Global Asthma Network's Ecological Study
dc.type info:eu-repo/semantics/article 
dc.identifier.pmid 42243985
dc.relation.publisherversion https://onlinelibrary.wiley.com/doi/10.1111/cea.70355
dc.type.version info:eu-repo/semantics/publishedVersion 
dc.identifier.doi 10.1111/cea.70355
dc.journal.title CLINICAL AND EXPERIMENTAL ALLERGY
dc.identifier.essn 1365-2222


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