Cargando…

Relationship between area-level socioeconomic characteristics and outdoor NO(2) concentrations in rural and urban areas of northern Spain

BACKGROUND: Socioeconomic variables are associated with mortality and morbidity in a variety of diseases at both the individual and neighborhood level. Investigating whether low socioeconomic status populations are exposed to higher air pollution has been an important objective for the scientific co...

Descripción completa

Detalles Bibliográficos
Autores principales: Fernández-Somoano, Ana, Hoek, Gerard, Tardon, Adonina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3659019/
https://www.ncbi.nlm.nih.gov/pubmed/23351567
http://dx.doi.org/10.1186/1471-2458-13-71
Descripción
Sumario:BACKGROUND: Socioeconomic variables are associated with mortality and morbidity in a variety of diseases at both the individual and neighborhood level. Investigating whether low socioeconomic status populations are exposed to higher air pollution has been an important objective for the scientific community during the last decade. The goal of this study was to analyze the associations between outdoor nitrogen dioxide (NO(2)) concentrations in an area of Asturias (Spain) and two socioeconomic indexes—one based on occupation and the other on educational level—at the census-tract level. METHODS: A map of NO(2) concentration was obtained from a land-use regression model. To obtain a census-tract average value, NO(2) was estimated at the centroids of all 50 × 50 m grids within a census tract. Standard socioeconomic variables were used from the Census of Population and Housing 2001. We analyzed the association between NO(2) concentration and socioeconomic indicators for the entire area and stratified for more urban and more rural areas. RESULTS: A positive linear relationship was found between the levels of education and NO(2) exposure in the urban area and the overall study area, but no association was found in the rural area. A positive association between socioeconomic index based upon occupation and NO(2) concentration was found in urban areas; however, this association was reversed in the rural and overall study areas. CONCLUSIONS: The strength and direction of the association between socioeconomic status and NO(2) concentration depended on the socioeconomic indicator used and the characteristics of the study area (urban, rural). More research is needed with different scenarios to clarify the uncertain relationship among socioeconomic indexes, particularly in non-urban areas, where little has been documented on this topic.