A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseases

<p>Abstract</p> <p>Objective</p> <p>To explore various contributors to people's reporting of self reported air pollution problems in area of living, including GIS-modeled air pollution, and to investigate whether those with respiratory or other chronic diseases ten...

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Main Authors: Nafstad Per, Næss Øyvind, Madsen Christian, Piro Fredrik, Claussen Bjørgulf
Format: Article
Language:English
Published: BMC 2008-02-01
Series:Environmental Health
Online Access:http://www.ehjournal.net/content/7/1/9
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author Nafstad Per
Næss Øyvind
Madsen Christian
Piro Fredrik
Claussen Bjørgulf
author_facet Nafstad Per
Næss Øyvind
Madsen Christian
Piro Fredrik
Claussen Bjørgulf
author_sort Nafstad Per
collection DOAJ
description <p>Abstract</p> <p>Objective</p> <p>To explore various contributors to people's reporting of self reported air pollution problems in area of living, including GIS-modeled air pollution, and to investigate whether those with respiratory or other chronic diseases tend to over-report air pollution problems, compared to healthy people.</p> <p>Methods</p> <p>Cross-sectional data from the Oslo Health Study (2000–2001) were linked with GIS-modeled air pollution data from the Norwegian Institute of Air Research. Multivariate regression analyses were performed. 14 294 persons aged 30, 40, 45, 60 or 75 years old with complete information on modeled and self reported air pollution were included.</p> <p>Results</p> <p>People who reported air pollution problems were exposed to significantly higher GIS-modeled air pollution levels than those who did not report such problems. People with chronic disease, reported significantly more air pollution problems after adjustment for modeled levels of nitrogen dioxides, socio-demographic variables, smoking, depression, dwelling conditions and an area deprivation index, even if they had a non-respiratory disease. No diseases, however, were significantly associated with levels of nitrogen dioxides.</p> <p>Conclusion</p> <p>Self reported air pollution problems in area of living are strongly associated with increased levels of GIS-modeled air pollution. Over and above this, those who report to have a chronic disease tend to report more air pollution problems in area of living, despite no significant difference in air pollution exposure compared to healthy people, and no associations between these diseases and NO<sub>2</sub>. Studies on the association between self reported air pollution problems and health should be aware of the possibility that disease itself may influence the reporting of air pollution.</p>
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spelling doaj.art-a66eba1644ba48e5b7c540bf3ea67ce72022-12-22T01:06:35ZengBMCEnvironmental Health1476-069X2008-02-0171910.1186/1476-069X-7-9A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseasesNafstad PerNæss ØyvindMadsen ChristianPiro FredrikClaussen Bjørgulf<p>Abstract</p> <p>Objective</p> <p>To explore various contributors to people's reporting of self reported air pollution problems in area of living, including GIS-modeled air pollution, and to investigate whether those with respiratory or other chronic diseases tend to over-report air pollution problems, compared to healthy people.</p> <p>Methods</p> <p>Cross-sectional data from the Oslo Health Study (2000–2001) were linked with GIS-modeled air pollution data from the Norwegian Institute of Air Research. Multivariate regression analyses were performed. 14 294 persons aged 30, 40, 45, 60 or 75 years old with complete information on modeled and self reported air pollution were included.</p> <p>Results</p> <p>People who reported air pollution problems were exposed to significantly higher GIS-modeled air pollution levels than those who did not report such problems. People with chronic disease, reported significantly more air pollution problems after adjustment for modeled levels of nitrogen dioxides, socio-demographic variables, smoking, depression, dwelling conditions and an area deprivation index, even if they had a non-respiratory disease. No diseases, however, were significantly associated with levels of nitrogen dioxides.</p> <p>Conclusion</p> <p>Self reported air pollution problems in area of living are strongly associated with increased levels of GIS-modeled air pollution. Over and above this, those who report to have a chronic disease tend to report more air pollution problems in area of living, despite no significant difference in air pollution exposure compared to healthy people, and no associations between these diseases and NO<sub>2</sub>. Studies on the association between self reported air pollution problems and health should be aware of the possibility that disease itself may influence the reporting of air pollution.</p>http://www.ehjournal.net/content/7/1/9
spellingShingle Nafstad Per
Næss Øyvind
Madsen Christian
Piro Fredrik
Claussen Bjørgulf
A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseases
Environmental Health
title A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseases
title_full A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseases
title_fullStr A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseases
title_full_unstemmed A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseases
title_short A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseases
title_sort comparison of self reported air pollution problems and gis modeled levels of air pollution in people with and without chronic diseases
url http://www.ehjournal.net/content/7/1/9
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