TY - JOUR
T1 - Spatial analysis of ambient air pollution and cardiovascular disease (CVD) hospitalization across Sweden
AU - Aturinde, Augustus
AU - Farnaghi, M.
AU - Pilesjö, Petter
AU - Sundquist, Kristina
AU - Mansourian, Ali
N1 - Funding Information:
Authors would like to acknowledge the Swedish International Development Cooperation Agency (SIDA), National Heart, Lung, and Blood Institute of the National Institutes of Health, Lund University GIS Center, and Center for Primary Health Care Research for supporting the project. This study was part of a project funded by the National Heart, Lung, and Blood Institute of the National Institutes of Health under award number R01HL116381 and the Swedish Heart‐Lung Foundation to Kristina Sundquist. The first and the second authors of this study, Augustus Aturinde and Mahdi Farnaghi, are financed by the Swedish International Development Cooperation Agency (SIDA) under award number 2015–003424 to Ali Mansourian.
Publisher Copyright:
© 2021. The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union.
PY - 2021/5
Y1 - 2021/5
N2 - The associations of multiple pollutants and cardiovascular disease (CVD) morbidity, and the spatial variations of these associations have not been nationally studied in Sweden. The main aim of this study was, thus, to spatially analyze the associations between ambient air pollution (black carbon, carbon monoxide, particulate matter (both <10 µm and <2.5 µm in diameter) and Sulfur oxides considered) and CVD admissions while controlling for neighborhood deprivation across Sweden from 2005 to 2010. Annual emission estimates across Sweden along with admission records for coronary heart disease, ischemic stroke, atherosclerotic and aortic disease were obtained and aggregated at Small Areas for Market Statistics level. Global associations were analyzed using global Poisson regression and spatially autoregressive Poisson regression models. Spatial non-stationarity of the associations was analyzed using Geographically Weighted Poisson Regression. Generally, weak but significant associations were observed between most of the air pollutants and CVD admissions. These associations were non-homogeneous, with more variability in the southern parts of Sweden. Our study demonstrates significant spatially varying associations between ambient air pollution and CVD admissions across Sweden and provides an empirical basis for developing healthcare policies and intervention strategies with more emphasis on local impacts of ambient air pollution on CVD outcomes in Sweden.
AB - The associations of multiple pollutants and cardiovascular disease (CVD) morbidity, and the spatial variations of these associations have not been nationally studied in Sweden. The main aim of this study was, thus, to spatially analyze the associations between ambient air pollution (black carbon, carbon monoxide, particulate matter (both <10 µm and <2.5 µm in diameter) and Sulfur oxides considered) and CVD admissions while controlling for neighborhood deprivation across Sweden from 2005 to 2010. Annual emission estimates across Sweden along with admission records for coronary heart disease, ischemic stroke, atherosclerotic and aortic disease were obtained and aggregated at Small Areas for Market Statistics level. Global associations were analyzed using global Poisson regression and spatially autoregressive Poisson regression models. Spatial non-stationarity of the associations was analyzed using Geographically Weighted Poisson Regression. Generally, weak but significant associations were observed between most of the air pollutants and CVD admissions. These associations were non-homogeneous, with more variability in the southern parts of Sweden. Our study demonstrates significant spatially varying associations between ambient air pollution and CVD admissions across Sweden and provides an empirical basis for developing healthcare policies and intervention strategies with more emphasis on local impacts of ambient air pollution on CVD outcomes in Sweden.
KW - ITC-CV
U2 - 10.1029/2020gh000323
DO - 10.1029/2020gh000323
M3 - Article
SN - 2471-1403
VL - 5
SP - 1
EP - 20
JO - GeoHealth
JF - GeoHealth
IS - 5
M1 - e2020GH000323
ER -