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Association between short-term exposure to air pollution and ischemic stroke onset: a time-stratified case-crossover analysis using a distributed lag nonlinear model in Shenzhen, China

BACKGROUND: Stroke, especially ischemic stroke (IS), has been a severe public health problem around the world. However, the association between air pollution and ischemic stroke remains ambiguous. METHODS: A total of 63, 997 IS cases aged 18 years or above in Shenzhen were collected from 2008 to 201...

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Autores principales: Wang, Zhinghui, Peng, Ji, Liu, Peiyi, Duan, Yanran, Huang, Suli, Wen, Ying, Liao, Yi, Li, Hongyan, Yan, Siyu, Cheng, Jinquan, Yin, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941275/
https://www.ncbi.nlm.nih.gov/pubmed/31898503
http://dx.doi.org/10.1186/s12940-019-0557-4
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author Wang, Zhinghui
Peng, Ji
Liu, Peiyi
Duan, Yanran
Huang, Suli
Wen, Ying
Liao, Yi
Li, Hongyan
Yan, Siyu
Cheng, Jinquan
Yin, Ping
author_facet Wang, Zhinghui
Peng, Ji
Liu, Peiyi
Duan, Yanran
Huang, Suli
Wen, Ying
Liao, Yi
Li, Hongyan
Yan, Siyu
Cheng, Jinquan
Yin, Ping
author_sort Wang, Zhinghui
collection PubMed
description BACKGROUND: Stroke, especially ischemic stroke (IS), has been a severe public health problem around the world. However, the association between air pollution and ischemic stroke remains ambiguous. METHODS: A total of 63, 997 IS cases aged 18 years or above in Shenzhen were collected from 2008 to 2014. We used the time-stratified case-crossover design combining with distributed lag nonlinear model (DLNM) to estimate the association between air pollution and IS onset. Furthermore, this study explored the variability across gender and age groups. RESULTS: The cumulative exposure-response curves were J-shaped for SO(2), NO(2) and PM(10), and V-shaped for O(3), and crossed over the relative risk (RR) of one. The 99th, 50th (median) and 1st percentiles of concentration (μg/m(3)) respectively were 37.86, 10.06, 3.71 for SO(2), 116.26, 41.29, 18.51 for NO(2), 145.94, 48.29, 16.14 for PM(10), and 111.57, 49.82, 16.00 for O(3). Extreme high-SO(2), high-NO(2), high-PM(10), high-O(3), and low-O(3) concentration increased the risk of IS, with the maximum RR values and 95% CIs: 1.50(1.22, 1.84) (99th vs median) at 0–12 lag days, 1.37(1.13, 1.67) (99th vs median) at 0–10 lag days, 1.26(1.04, 1.53) (99th vs median) at 0–12 lag days, 1.25(1.04, 1.49) (99th vs median) at 0–14 lag days, and 1.29(1.03, 1.61) (1st vs median) at 0–14 lag days, respectively. The statistically significant minimal RR value and 95% CI was 0.79(0.66,0.94) at 0–10 lag days for extreme low-PM(10). The elderly aged over 65 years were susceptible to extreme pollution conditions. Difference from the vulnerability of males to extreme high-SO(2), high-NO(2) and low-O(3), females were vulnerable to extreme high-PM(10) and high-O(3). Comparing with the elderly, adults aged 18–64 year were immune to extreme low-NO(2) and low-PM(10). However, no association between CO and IS onset was found. CONCLUSIONS: SO(2), NO(2), PM(10) and O(3) exerted non-linear and delayed influence on IS, and such influence varied with gender and age. These findings may have significant public health implications for the prevention of IS.
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spelling pubmed-69412752020-01-06 Association between short-term exposure to air pollution and ischemic stroke onset: a time-stratified case-crossover analysis using a distributed lag nonlinear model in Shenzhen, China Wang, Zhinghui Peng, Ji Liu, Peiyi Duan, Yanran Huang, Suli Wen, Ying Liao, Yi Li, Hongyan Yan, Siyu Cheng, Jinquan Yin, Ping Environ Health Research BACKGROUND: Stroke, especially ischemic stroke (IS), has been a severe public health problem around the world. However, the association between air pollution and ischemic stroke remains ambiguous. METHODS: A total of 63, 997 IS cases aged 18 years or above in Shenzhen were collected from 2008 to 2014. We used the time-stratified case-crossover design combining with distributed lag nonlinear model (DLNM) to estimate the association between air pollution and IS onset. Furthermore, this study explored the variability across gender and age groups. RESULTS: The cumulative exposure-response curves were J-shaped for SO(2), NO(2) and PM(10), and V-shaped for O(3), and crossed over the relative risk (RR) of one. The 99th, 50th (median) and 1st percentiles of concentration (μg/m(3)) respectively were 37.86, 10.06, 3.71 for SO(2), 116.26, 41.29, 18.51 for NO(2), 145.94, 48.29, 16.14 for PM(10), and 111.57, 49.82, 16.00 for O(3). Extreme high-SO(2), high-NO(2), high-PM(10), high-O(3), and low-O(3) concentration increased the risk of IS, with the maximum RR values and 95% CIs: 1.50(1.22, 1.84) (99th vs median) at 0–12 lag days, 1.37(1.13, 1.67) (99th vs median) at 0–10 lag days, 1.26(1.04, 1.53) (99th vs median) at 0–12 lag days, 1.25(1.04, 1.49) (99th vs median) at 0–14 lag days, and 1.29(1.03, 1.61) (1st vs median) at 0–14 lag days, respectively. The statistically significant minimal RR value and 95% CI was 0.79(0.66,0.94) at 0–10 lag days for extreme low-PM(10). The elderly aged over 65 years were susceptible to extreme pollution conditions. Difference from the vulnerability of males to extreme high-SO(2), high-NO(2) and low-O(3), females were vulnerable to extreme high-PM(10) and high-O(3). Comparing with the elderly, adults aged 18–64 year were immune to extreme low-NO(2) and low-PM(10). However, no association between CO and IS onset was found. CONCLUSIONS: SO(2), NO(2), PM(10) and O(3) exerted non-linear and delayed influence on IS, and such influence varied with gender and age. These findings may have significant public health implications for the prevention of IS. BioMed Central 2020-01-02 /pmc/articles/PMC6941275/ /pubmed/31898503 http://dx.doi.org/10.1186/s12940-019-0557-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wang, Zhinghui
Peng, Ji
Liu, Peiyi
Duan, Yanran
Huang, Suli
Wen, Ying
Liao, Yi
Li, Hongyan
Yan, Siyu
Cheng, Jinquan
Yin, Ping
Association between short-term exposure to air pollution and ischemic stroke onset: a time-stratified case-crossover analysis using a distributed lag nonlinear model in Shenzhen, China
title Association between short-term exposure to air pollution and ischemic stroke onset: a time-stratified case-crossover analysis using a distributed lag nonlinear model in Shenzhen, China
title_full Association between short-term exposure to air pollution and ischemic stroke onset: a time-stratified case-crossover analysis using a distributed lag nonlinear model in Shenzhen, China
title_fullStr Association between short-term exposure to air pollution and ischemic stroke onset: a time-stratified case-crossover analysis using a distributed lag nonlinear model in Shenzhen, China
title_full_unstemmed Association between short-term exposure to air pollution and ischemic stroke onset: a time-stratified case-crossover analysis using a distributed lag nonlinear model in Shenzhen, China
title_short Association between short-term exposure to air pollution and ischemic stroke onset: a time-stratified case-crossover analysis using a distributed lag nonlinear model in Shenzhen, China
title_sort association between short-term exposure to air pollution and ischemic stroke onset: a time-stratified case-crossover analysis using a distributed lag nonlinear model in shenzhen, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941275/
https://www.ncbi.nlm.nih.gov/pubmed/31898503
http://dx.doi.org/10.1186/s12940-019-0557-4
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