Weidong Wang1, Cong Liu1, Zhekang Ying1, Xiaoning Lei1, Cuiping Wang1, Juntao Huo2, Qianbiao Zhao2, Yihua Zhang2, Yusen Duan2, Renjie Chen3, Qingyan Fu4, Hao Zhang5, Haidong Kan1. 1. School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China. 2. Shanghai Environmental Monitoring Center, Shanghai 200235, China. 3. School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China. Electronic address: chenrenjie@fudan.edu.cn. 4. Shanghai Environmental Monitoring Center, Shanghai 200235, China. Electronic address: qingyanf@sheemc.cn. 5. Department of Public Administration, School of Economics and Management, Tongji University, Shanghai 200092, China. Electronic address: zhanghao@smhb.gov.cn.
Abstract
BACKGROUND: The identification of constituents of fine particulate matter (PM2.5) air pollution that had key impacts of ischemic stroke (the predominant subtype of stroke) is important to understand the underlying biological mechanisms and develop air pollution control policies. OBJECTIVES: To explore the associations between PM2.5 constituents and hospitalization for ischemic stroke in Shanghai, China. METHODS: We conducted a time-series study to explore the associations between 27 constituents of PM2.5 and hospitalization for ischemic stroke in Shanghai, China from 2014 to 2016. The over-dispersed generalized additive models with adjustment for time, day of week, holidays, and weather conditions were used to estimate the associations. We also evaluated the robustness of the effect estimates for each constituent after adjusting for the confounding effects of PM2.5 total mass and gaseous pollutants and the collinearity (the residual) between this constituent and PM2.5 total mass. We also compared the associations between seasons. RESULTS: In total, we identified 4186 ischemic stroke hospitalizations during the study period. The associations of ischemic stroke were consistently significant with elemental carbon and several elemental constituents (Chromium, Iron, Copper, Zinc, Arsenic, Selenium, and Lead) at lag 1 day in single-constituent models, models adjusting for PM2.5 total mass or gaseous pollutants and models adjusting for collinearity. The associations were much stronger in cool season than in warm season. CONCLUSIONS: The current study provides suggestive evidence that elemental carbon and some metallic elements may be mainly responsible for the risks of ischemic stroke hospitalization induced by short-term PM2.5 exposure.
BACKGROUND: The identification of constituents of fine particulate matter (PM2.5) air pollution that had key impacts of ischemic stroke (the predominant subtype of stroke) is important to understand the underlying biological mechanisms and develop air pollution control policies. OBJECTIVES: To explore the associations between PM2.5 constituents and hospitalization for ischemic stroke in Shanghai, China. METHODS: We conducted a time-series study to explore the associations between 27 constituents of PM2.5 and hospitalization for ischemic stroke in Shanghai, China from 2014 to 2016. The over-dispersed generalized additive models with adjustment for time, day of week, holidays, and weather conditions were used to estimate the associations. We also evaluated the robustness of the effect estimates for each constituent after adjusting for the confounding effects of PM2.5 total mass and gaseous pollutants and the collinearity (the residual) between this constituent and PM2.5 total mass. We also compared the associations between seasons. RESULTS: In total, we identified 4186 ischemic stroke hospitalizations during the study period. The associations of ischemic stroke were consistently significant with elemental carbon and several elemental constituents (Chromium, Iron, Copper, Zinc, Arsenic, Selenium, and Lead) at lag 1 day in single-constituent models, models adjusting for PM2.5 total mass or gaseous pollutants and models adjusting for collinearity. The associations were much stronger in cool season than in warm season. CONCLUSIONS: The current study provides suggestive evidence that elemental carbon and some metallic elements may be mainly responsible for the risks of ischemic stroke hospitalization induced by short-term PM2.5 exposure.
Authors: G Viteri; Y Díaz de Mera; A Rodríguez; D Rodríguez; M Tajuelo; A Escalona; A Aranda Journal: Chemosphere Date: 2020-11-20 Impact factor: 7.086