Author:
González-Iglesias Verónica,Martínez-Pérez Isabel,Rodríguez Suárez Valentín,Fernández-Somoano Ana
Abstract
Abstract
Background
Asturias is one of the communities with the highest rates of hospital admission for asthma in Spain. The environmental pollution or people lifestyle are some of the factors that contribute to the appearance or aggravation of this illness. The aim of this study was to show the spatial distribution of asthma admissions risks in the central municipalities of Asturias and to analyze the observed spatial patterns.
Methods
Urgent hospital admissions for asthma and status asthmaticus occurred between 2016 to 2018 on the public hospitals of the central area of Asturias were used. Population data were assigned in 5 age groups. Standardised admission ratio (SAR), smoothed relative risk (SRR) and posterior risk probability (PP) were calculated for each census tract (CT). A spatial trend analysis was run, a spatial autocorrelation index (Morans I) was calculated and a cluster and outlier analysis (Anselin Local Morans I) was finally performed in order to analyze spatial clusters.
Results
The total number of hospital urgent asthma admissions during the study period was 2324, 1475 (63.46%) men and 849 (36.56%) women. The municipalities with the highest values of SRR and PP were located on the northwest area: Avilés, Gozón, Carreño, Corvera de Asturias, Castrillón and Illas. A high risk cluster was found for the municipalities of Avilés, Gozón y Corvera de Asturias.
Conclusions
The spatial analysis showed high risk of hospitalization for asthma on the municipalities of the northwest area of the study, which highlight the existence of spatial inequalities on the distribution of urgent hospital admissions.
Funder
Subvención nominativa del Principado de Asturias - Salud y Medio Ambiente
Universidad de Oviedo
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health
Reference45 articles.
1. Global Initiative for Asthma. Global strategy for asthma management and prevention. 2021. https://www.ginasthma.org.
2. James SL, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1789–858.
3. To T, Stanojevic S, Moores G, Gershon AS, Bateman ED, Cruz AA, et al. Global asthma prevalence in adults : findings from the cross-sectional world health survey. BMC Public Health. 2012;12:204.
4. Murad A, Khashoggi BF. Using GIS for Disease Mapping and Clustering in Jeddah. Saudi Arabia: ISPRS Int J Geo-Info. 2020;9(5):328–40.
5. Ordoqui García E, Orta Martiartu M, Lázcoz Rojas JL. Asma Laboral. Inst Vasco Segur y Salud Laborales. 2012;1:58.
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