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Stroke Mortality Attributable to Ambient Particulate Matter Pollution from 1990 to 2015 in China: An Age-Period-Cohort and Spatial Autocorrelation Analysis

In this study, we analyzed the temporal and spatial variations of stroke mortality attributable to ambient particulate matter pollution (stroke mortality-PM(2.5)) in China from 1990 to 2015. Data were collected from the Global Burden of Disease (GBD) 2015 study and analyzed by an age-period-cohort m...

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Autores principales: Luo, Lisha, Jiang, Junfeng, Zhang, Ganshen, Wang, Lu, Wang, Zhenkun, Yang, Jin, Yu, Chuanhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551210/
https://www.ncbi.nlm.nih.gov/pubmed/28703768
http://dx.doi.org/10.3390/ijerph14070772
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author Luo, Lisha
Jiang, Junfeng
Zhang, Ganshen
Wang, Lu
Wang, Zhenkun
Yang, Jin
Yu, Chuanhua
author_facet Luo, Lisha
Jiang, Junfeng
Zhang, Ganshen
Wang, Lu
Wang, Zhenkun
Yang, Jin
Yu, Chuanhua
author_sort Luo, Lisha
collection PubMed
description In this study, we analyzed the temporal and spatial variations of stroke mortality attributable to ambient particulate matter pollution (stroke mortality-PM(2.5)) in China from 1990 to 2015. Data were collected from the Global Burden of Disease (GBD) 2015 study and analyzed by an age-period-cohort model (APC) with an intrinsic estimator (IE) algorithm, as well as spatial autocorrelation based on the Geographic Information System. Based on APC analysis with the IE method, stroke mortality-PM(2.5) increased exponentially with age, its relative risk reaching 42.85 (95% CI: 28.79, 63.43) in the 75–79 age group. The period effects showed a reversed V-shape and its highest relative risk was 1.22 (95% CI: 1.15, 1.27) in 2005. The cohort effects decreased monotonically from 1915–1919 to 1990–1994. The change rate fluctuated from 1920–1924 to 1990–1994, including three accelerating and three decelerating decreases. There was a positive spatial autocorrelation in stroke mortality-PM(2.5) from 1990 to 2015. Hot-spots moved from the northeastern areas to the middle and southwestern areas, whereas cold-spots lay mostly in coastal provinces. Besides the aging process in recent years, stroke mortality-PM(2.5) had significantly declined from 2005 to 2015 due to socio-economic and healthcare development. Stroke mortality-PM(2.5) varied substantially among different regions, and cost-effective prevention and control should be implemented more in the middle and southwestern areas of China.
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spelling pubmed-55512102017-08-11 Stroke Mortality Attributable to Ambient Particulate Matter Pollution from 1990 to 2015 in China: An Age-Period-Cohort and Spatial Autocorrelation Analysis Luo, Lisha Jiang, Junfeng Zhang, Ganshen Wang, Lu Wang, Zhenkun Yang, Jin Yu, Chuanhua Int J Environ Res Public Health Article In this study, we analyzed the temporal and spatial variations of stroke mortality attributable to ambient particulate matter pollution (stroke mortality-PM(2.5)) in China from 1990 to 2015. Data were collected from the Global Burden of Disease (GBD) 2015 study and analyzed by an age-period-cohort model (APC) with an intrinsic estimator (IE) algorithm, as well as spatial autocorrelation based on the Geographic Information System. Based on APC analysis with the IE method, stroke mortality-PM(2.5) increased exponentially with age, its relative risk reaching 42.85 (95% CI: 28.79, 63.43) in the 75–79 age group. The period effects showed a reversed V-shape and its highest relative risk was 1.22 (95% CI: 1.15, 1.27) in 2005. The cohort effects decreased monotonically from 1915–1919 to 1990–1994. The change rate fluctuated from 1920–1924 to 1990–1994, including three accelerating and three decelerating decreases. There was a positive spatial autocorrelation in stroke mortality-PM(2.5) from 1990 to 2015. Hot-spots moved from the northeastern areas to the middle and southwestern areas, whereas cold-spots lay mostly in coastal provinces. Besides the aging process in recent years, stroke mortality-PM(2.5) had significantly declined from 2005 to 2015 due to socio-economic and healthcare development. Stroke mortality-PM(2.5) varied substantially among different regions, and cost-effective prevention and control should be implemented more in the middle and southwestern areas of China. MDPI 2017-07-13 2017-07 /pmc/articles/PMC5551210/ /pubmed/28703768 http://dx.doi.org/10.3390/ijerph14070772 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
Luo, Lisha
Jiang, Junfeng
Zhang, Ganshen
Wang, Lu
Wang, Zhenkun
Yang, Jin
Yu, Chuanhua
Stroke Mortality Attributable to Ambient Particulate Matter Pollution from 1990 to 2015 in China: An Age-Period-Cohort and Spatial Autocorrelation Analysis
title Stroke Mortality Attributable to Ambient Particulate Matter Pollution from 1990 to 2015 in China: An Age-Period-Cohort and Spatial Autocorrelation Analysis
title_full Stroke Mortality Attributable to Ambient Particulate Matter Pollution from 1990 to 2015 in China: An Age-Period-Cohort and Spatial Autocorrelation Analysis
title_fullStr Stroke Mortality Attributable to Ambient Particulate Matter Pollution from 1990 to 2015 in China: An Age-Period-Cohort and Spatial Autocorrelation Analysis
title_full_unstemmed Stroke Mortality Attributable to Ambient Particulate Matter Pollution from 1990 to 2015 in China: An Age-Period-Cohort and Spatial Autocorrelation Analysis
title_short Stroke Mortality Attributable to Ambient Particulate Matter Pollution from 1990 to 2015 in China: An Age-Period-Cohort and Spatial Autocorrelation Analysis
title_sort stroke mortality attributable to ambient particulate matter pollution from 1990 to 2015 in china: an age-period-cohort and spatial autocorrelation analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551210/
https://www.ncbi.nlm.nih.gov/pubmed/28703768
http://dx.doi.org/10.3390/ijerph14070772
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