Spatial analysis of PM and cardiovascular mortality in the Seoul metropolitan area

Objectives Numerous studies have revealed the adverse health effects of acute and chronic exposure to particulate matter less than 10 μm in aerodynamic diameter (PM10). The aim of the present study was to examine the spatial distribution of PM10 concentrations and cardiovascular mortality and to inv...

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Main Authors: Yu-Ra Lim, Hyun-Joo Bae, Youn-Hee Lim, Seungdo Yu, Geun-Bae Kim, Yong-Sung Cho
Format: Article
Language:English
Published: Korean Society of Environmental Health and Toxicology 2014-07-01
Series:Environmental Health and Toxicology
Subjects:
Online Access:http://www.e-eht.org/upload/pdf/eht-29-e2014005.pdf
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author Yu-Ra Lim
Hyun-Joo Bae
Youn-Hee Lim
Seungdo Yu
Geun-Bae Kim
Yong-Sung Cho
author_facet Yu-Ra Lim
Hyun-Joo Bae
Youn-Hee Lim
Seungdo Yu
Geun-Bae Kim
Yong-Sung Cho
author_sort Yu-Ra Lim
collection DOAJ
description Objectives Numerous studies have revealed the adverse health effects of acute and chronic exposure to particulate matter less than 10 μm in aerodynamic diameter (PM10). The aim of the present study was to examine the spatial distribution of PM10 concentrations and cardiovascular mortality and to investigate the spatial correlation between PM10 and cardiovascular mortality using spatial scan statistic (SaTScan) and a regression model. Methods From 2008 to 2010, the spatial distribution of PM10 in the Seoul metropolitan area was examined via kriging. In addition, a group of cardiovascular mortality cases was analyzed using SaTScan-based cluster exploration. Geographically weighted regression (GWR) was applied to investigate the correlation between PM10 concentrations and cardiovascular mortality. Results An examination of the regional distribution of the cardiovascular mortality was higher in provincial districts (gu) belonging to Incheon and the northern part of Gyeonggido than in other regions. In a comparison of PM10 concentrations and mortality cluster (MC) regions, all those belonging to MC 1 and MC 2 were found to belong to particulate matter (PM) 1 and PM 2 with high concentrations of air pollutants. In addition, the GWR showed that PM10 has a statistically significant relation to cardiovascular mortality. Conclusions To investigate the relation between air pollution and health impact, spatial analyses can be utilized based on kriging, cluster exploration, and GWR for a more systematic and quantitative analysis. It has been proven that cardiovascular mortality is spatially related to the concentration of PM10.
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spelling doaj.art-64c45c90404649ab8837c099214aea702022-12-21T18:14:18ZengKorean Society of Environmental Health and ToxicologyEnvironmental Health and Toxicology2233-65672014-07-012910.5620/eht.2014.29.e201400561Spatial analysis of PM and cardiovascular mortality in the Seoul metropolitan areaYu-Ra Lim0Hyun-Joo Bae1Youn-Hee Lim2Seungdo Yu3Geun-Bae Kim4Yong-Sung Cho5 Korea Environment Institute, Seoul, Korea Korea Environment Institute, Seoul, Korea Institute of Health and Environment, Seoul National University, Seoul, Korea Environmental Health Research Department, National Institute of Environmental Research, Incheon, Korea Environmental Health Research Department, National Institute of Environmental Research, Incheon, Korea Environmental Health Research Department, National Institute of Environmental Research, Incheon, KoreaObjectives Numerous studies have revealed the adverse health effects of acute and chronic exposure to particulate matter less than 10 μm in aerodynamic diameter (PM10). The aim of the present study was to examine the spatial distribution of PM10 concentrations and cardiovascular mortality and to investigate the spatial correlation between PM10 and cardiovascular mortality using spatial scan statistic (SaTScan) and a regression model. Methods From 2008 to 2010, the spatial distribution of PM10 in the Seoul metropolitan area was examined via kriging. In addition, a group of cardiovascular mortality cases was analyzed using SaTScan-based cluster exploration. Geographically weighted regression (GWR) was applied to investigate the correlation between PM10 concentrations and cardiovascular mortality. Results An examination of the regional distribution of the cardiovascular mortality was higher in provincial districts (gu) belonging to Incheon and the northern part of Gyeonggido than in other regions. In a comparison of PM10 concentrations and mortality cluster (MC) regions, all those belonging to MC 1 and MC 2 were found to belong to particulate matter (PM) 1 and PM 2 with high concentrations of air pollutants. In addition, the GWR showed that PM10 has a statistically significant relation to cardiovascular mortality. Conclusions To investigate the relation between air pollution and health impact, spatial analyses can be utilized based on kriging, cluster exploration, and GWR for a more systematic and quantitative analysis. It has been proven that cardiovascular mortality is spatially related to the concentration of PM10.http://www.e-eht.org/upload/pdf/eht-29-e2014005.pdfCardiovascular mortalityGeographically weighted regressionPMSaTScanSpatial epidemiology
spellingShingle Yu-Ra Lim
Hyun-Joo Bae
Youn-Hee Lim
Seungdo Yu
Geun-Bae Kim
Yong-Sung Cho
Spatial analysis of PM and cardiovascular mortality in the Seoul metropolitan area
Environmental Health and Toxicology
Cardiovascular mortality
Geographically weighted regression
PM
SaTScan
Spatial epidemiology
title Spatial analysis of PM and cardiovascular mortality in the Seoul metropolitan area
title_full Spatial analysis of PM and cardiovascular mortality in the Seoul metropolitan area
title_fullStr Spatial analysis of PM and cardiovascular mortality in the Seoul metropolitan area
title_full_unstemmed Spatial analysis of PM and cardiovascular mortality in the Seoul metropolitan area
title_short Spatial analysis of PM and cardiovascular mortality in the Seoul metropolitan area
title_sort spatial analysis of pm and cardiovascular mortality in the seoul metropolitan area
topic Cardiovascular mortality
Geographically weighted regression
PM
SaTScan
Spatial epidemiology
url http://www.e-eht.org/upload/pdf/eht-29-e2014005.pdf
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