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Ambient Air Pollution and Risk for Ischemic Stroke: A Short-Term Exposure Assessment in South China

Data on the association between air pollution and risk of ischemic stroke in China are still limited. This study aimed to investigate the association between short-term exposure to ambient air pollution and risk of ischemic strokes in Guangzhou, the most densely-populated city in south China, using...

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Autores principales: Guo, Pi, Wang, Yulin, Feng, Wenru, Wu, Jiagang, Fu, Chuanxi, Deng, Hai, Huang, Jun, Wang, Li, Zheng, Murui, Liu, Huazhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615628/
https://www.ncbi.nlm.nih.gov/pubmed/28930181
http://dx.doi.org/10.3390/ijerph14091091
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author Guo, Pi
Wang, Yulin
Feng, Wenru
Wu, Jiagang
Fu, Chuanxi
Deng, Hai
Huang, Jun
Wang, Li
Zheng, Murui
Liu, Huazhang
author_facet Guo, Pi
Wang, Yulin
Feng, Wenru
Wu, Jiagang
Fu, Chuanxi
Deng, Hai
Huang, Jun
Wang, Li
Zheng, Murui
Liu, Huazhang
author_sort Guo, Pi
collection PubMed
description Data on the association between air pollution and risk of ischemic stroke in China are still limited. This study aimed to investigate the association between short-term exposure to ambient air pollution and risk of ischemic strokes in Guangzhou, the most densely-populated city in south China, using a large-scale multicenter database of stroke hospital admissions. Daily counts of ischemic stroke admissions over the study years 2013–2015 were obtained from the Guangzhou Cardiovascular and Cerebrovascular Disease Event Surveillance System. Daily particulate matter <2.5 μm in diameter (PM(2.5)), sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), ozone (O(3)), and meteorological data were collected. The associations between air pollutants and hospital admissions for stroke were examined using relative risks (RRs) and their corresponding 95% confidence intervals (CIs) based on time-series Poisson regression models, adjusting for temperature, public holiday, day of week, and temporal trends in stroke. Ischemic stroke admissions increased from 27,532 to 35,279 through 2013 to 2015, increasing by 28.14%. Parameter estimates for NO(2) exposure were robust regardless of the model used. The association between same-day NO(2) (RR = 1.0509, 95% CI: 1.0353–1.0668) exposure and stroke risk was significant when accounting for other air pollutants, day of the week, public holidays, temperature, and temporal trends in stroke events. Overall, we observed a borderline significant association between NO(2) exposure modeled as an averaged lag effect and ischemic stroke risk. This study provides data on air pollution exposures and stroke risk, and contributes to better planning of clinical services and emergency contingency response for stroke.
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spelling pubmed-56156282017-09-30 Ambient Air Pollution and Risk for Ischemic Stroke: A Short-Term Exposure Assessment in South China Guo, Pi Wang, Yulin Feng, Wenru Wu, Jiagang Fu, Chuanxi Deng, Hai Huang, Jun Wang, Li Zheng, Murui Liu, Huazhang Int J Environ Res Public Health Article Data on the association between air pollution and risk of ischemic stroke in China are still limited. This study aimed to investigate the association between short-term exposure to ambient air pollution and risk of ischemic strokes in Guangzhou, the most densely-populated city in south China, using a large-scale multicenter database of stroke hospital admissions. Daily counts of ischemic stroke admissions over the study years 2013–2015 were obtained from the Guangzhou Cardiovascular and Cerebrovascular Disease Event Surveillance System. Daily particulate matter <2.5 μm in diameter (PM(2.5)), sulfur dioxide (SO(2)), nitrogen dioxide (NO(2)), ozone (O(3)), and meteorological data were collected. The associations between air pollutants and hospital admissions for stroke were examined using relative risks (RRs) and their corresponding 95% confidence intervals (CIs) based on time-series Poisson regression models, adjusting for temperature, public holiday, day of week, and temporal trends in stroke. Ischemic stroke admissions increased from 27,532 to 35,279 through 2013 to 2015, increasing by 28.14%. Parameter estimates for NO(2) exposure were robust regardless of the model used. The association between same-day NO(2) (RR = 1.0509, 95% CI: 1.0353–1.0668) exposure and stroke risk was significant when accounting for other air pollutants, day of the week, public holidays, temperature, and temporal trends in stroke events. Overall, we observed a borderline significant association between NO(2) exposure modeled as an averaged lag effect and ischemic stroke risk. This study provides data on air pollution exposures and stroke risk, and contributes to better planning of clinical services and emergency contingency response for stroke. MDPI 2017-09-20 2017-09 /pmc/articles/PMC5615628/ /pubmed/28930181 http://dx.doi.org/10.3390/ijerph14091091 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guo, Pi
Wang, Yulin
Feng, Wenru
Wu, Jiagang
Fu, Chuanxi
Deng, Hai
Huang, Jun
Wang, Li
Zheng, Murui
Liu, Huazhang
Ambient Air Pollution and Risk for Ischemic Stroke: A Short-Term Exposure Assessment in South China
title Ambient Air Pollution and Risk for Ischemic Stroke: A Short-Term Exposure Assessment in South China
title_full Ambient Air Pollution and Risk for Ischemic Stroke: A Short-Term Exposure Assessment in South China
title_fullStr Ambient Air Pollution and Risk for Ischemic Stroke: A Short-Term Exposure Assessment in South China
title_full_unstemmed Ambient Air Pollution and Risk for Ischemic Stroke: A Short-Term Exposure Assessment in South China
title_short Ambient Air Pollution and Risk for Ischemic Stroke: A Short-Term Exposure Assessment in South China
title_sort ambient air pollution and risk for ischemic stroke: a short-term exposure assessment in south china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615628/
https://www.ncbi.nlm.nih.gov/pubmed/28930181
http://dx.doi.org/10.3390/ijerph14091091
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