Use of GIS technology to analyse the health effect of long-term exposure to air pollution in an Italian general population sample (Abstract/Comunicazione in rivista)

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Label
  • Use of GIS technology to analyse the health effect of long-term exposure to air pollution in an Italian general population sample (Abstract/Comunicazione in rivista) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Alternative label
  • Maio S, Baldacci S, Angino A, Borbotti M, Nuvolone D, Della Maggiore R, Viegi G. (2006)
    Use of GIS technology to analyse the health effect of long-term exposure to air pollution in an Italian general population sample
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Maio S, Baldacci S, Angino A, Borbotti M, Nuvolone D, Della Maggiore R, Viegi G. (literal)
Pagina fine
  • 296s (literal)
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  • 16th Annual Congress, Munich (Germany), September 2-6, 2006 (literal)
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  • 28 (supplement 50) (literal)
Rivista
Note
  • Comunicazione (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Maio S, Baldacci S, Angino A, Borbotti M, Viegi G: Unit of Environmental Pulmonary Epidemiology, Institute of Clinical Physiology, National Research Council, Pisa, Italy; Nuvolone D, Della Maggiore R: Institute of Information Science and Technologies A. Faedo, National Research Council, Pisa, Italy (literal)
Titolo
  • Use of GIS technology to analyse the health effect of long-term exposure to air pollution in an Italian general population sample (literal)
Abstract
  • Objective: to assess, in a population sample living in Pisa (Tuscany, Italy), the relation between the temporal change of health status, risk factors, drugs consumption and long-term exposure to atmospheric pollution sources, using GIS (Geographical Information System) technology. Design: we selected a general population sub-sample (those who were medicine users in the 1991-93 survey and a matched randomly selected control group). These subjects, in 2005, participated in a telephone interview about demographic characteristics, respiratory symptoms/diseases, comorbidity, and medicines consumption. People were classified on the basis of the distance of their house from atmospheric pollution sources, using GIS technology. Buffers of 100 metres from the main roads and buffer of 1100 metres from an industrial pollution source were considered (literal)
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