Kejia Hu1, Yuming Guo2, Deyun Hu3, Rongguang Du3, Xuchao Yang4, Jieming Zhong5, Fangrong Fei6, Feng Chen7, Gongbo Chen2, Qi Zhao2, Jun Yang8, Yunquan Zhang9, Qian Chen10, Tingting Ye10, Shanshan Li2, Jiaguo Qi11. 1. Institute of Island and Coastal Ecosystems, Ocean College, Zhejiang University, Zhoushan 316021, China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia. 2. Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia. 3. Hangzhou Meteorological Service, Hangzhou 310051, China. 4. Institute of Island and Coastal Ecosystems, Ocean College, Zhejiang University, Zhoushan 316021, China; Center for Global Change and Earth Observations, Michigan State University, East Lansing 48823, USA. Electronic address: yangxuchao@zju.edu.cn. 5. Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China. Electronic address: jmzhong@cdc.zj.cn. 6. Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China. 7. Zhejiang Institute of Meteorological Sciences, Hangzhou 310008, China. 8. Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China. 9. Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China. 10. Institute of Island and Coastal Ecosystems, Ocean College, Zhejiang University, Zhoushan 316021, China. 11. Center for Global Change and Earth Observations, Michigan State University, East Lansing 48823, USA.
Abstract
BACKGROUND: Limited evidence is available on the health effects of particulate matter with an aerodynamic diameter of <1 μm (PM1), mainly due to the lack of its ground measurement worldwide. OBJECTIVES: To identify and examine the mortality risks and mortality burdens associated with PM1, PM2.5, and PM10 in Zhejiang province, China. METHODS: We collected daily data regarding all-cause (stratified by age and gender), cardiovascular, stroke, respiratory, and chronic obstructive pulmonary disease (COPD) mortality, and PM1, PM2.5, and PM10, from 11 cities in Zhejiang province, China during 2013 and 2017. We used a quasi-Poisson regression model to estimate city-specific associations between mortality and PM concentrations. Then we used a random-effect meta-analysis to pool the provincial estimates. To show the mortality burdens of PM1, PM2.5, and PM10, we calculated the mortality fractions and deaths attributable to these PMs. RESULTS: Daily concentrations of PM1, PM2.5, and PM10 ranged between 0-199 μg/m3, 0-218 μg/m3, and 0-254 μg/m3, respectively; Mortality effects were significant in lag 0-2 days. The relative risks for all-cause mortality were 1.0064 (95% CI: 1.0034, 1.0094), 1.0061 (95% CI: 1.0034, 1.0089), and 1.0060 (95% CI: 1.0038, 1.0083) associated with a 10 μg/m3 increase in PM1, PM2.5, and PM10, respectively. Age- and gender-stratified analysis shows that elderly people (aged 65+) and females are more sensitive to PMs. The mortality fractions of all-cause mortality were estimated to be 2.39% (95% CI: 1.28, 3.48) attributable to PM1, 2.53% (95% CI: 1.42, 3.63) attributable to PM2.5, and 3.08% (95% CI: 1.95, 4.19) attributable to PM10. The ratios of attributable cause-specific deaths for PM1/PM2.5, PM1/PM10, and PM2.5/PM10 were higher than the ratios of their respective concentrations. CONCLUSIONS: PM1, PM2.5 and PM10 are risk factors of all-cause, cardiovascular, stroke, respiratory, and COPD mortality. PM1 accounts for the vast majority of short-term PM2.5- and PM10-induced mortality. Our analyses support the notion that smaller size fractions of PM have a more toxic mortality impacts, which suggests to develop strategies to prevent and control PM1 in China, such as to foster strict regulations for automobile and industrial emissions.
BACKGROUND: Limited evidence is available on the health effects of particulate matter with an aerodynamic diameter of <1 μm (PM1), mainly due to the lack of its ground measurement worldwide. OBJECTIVES: To identify and examine the mortality risks and mortality burdens associated with PM1, PM2.5, and PM10 in Zhejiang province, China. METHODS: We collected daily data regarding all-cause (stratified by age and gender), cardiovascular, stroke, respiratory, and chronic obstructive pulmonary disease (COPD) mortality, and PM1, PM2.5, and PM10, from 11 cities in Zhejiang province, China during 2013 and 2017. We used a quasi-Poisson regression model to estimate city-specific associations between mortality and PM concentrations. Then we used a random-effect meta-analysis to pool the provincial estimates. To show the mortality burdens of PM1, PM2.5, and PM10, we calculated the mortality fractions and deaths attributable to these PMs. RESULTS: Daily concentrations of PM1, PM2.5, and PM10 ranged between 0-199 μg/m3, 0-218 μg/m3, and 0-254 μg/m3, respectively; Mortality effects were significant in lag 0-2 days. The relative risks for all-cause mortality were 1.0064 (95% CI: 1.0034, 1.0094), 1.0061 (95% CI: 1.0034, 1.0089), and 1.0060 (95% CI: 1.0038, 1.0083) associated with a 10 μg/m3 increase in PM1, PM2.5, and PM10, respectively. Age- and gender-stratified analysis shows that elderly people (aged 65+) and females are more sensitive to PMs. The mortality fractions of all-cause mortality were estimated to be 2.39% (95% CI: 1.28, 3.48) attributable to PM1, 2.53% (95% CI: 1.42, 3.63) attributable to PM2.5, and 3.08% (95% CI: 1.95, 4.19) attributable to PM10. The ratios of attributable cause-specific deaths for PM1/PM2.5, PM1/PM10, and PM2.5/PM10 were higher than the ratios of their respective concentrations. CONCLUSIONS:PM1, PM2.5 and PM10 are risk factors of all-cause, cardiovascular, stroke, respiratory, and COPD mortality. PM1 accounts for the vast majority of short-term PM2.5- and PM10-induced mortality. Our analyses support the notion that smaller size fractions of PM have a more toxic mortality impacts, which suggests to develop strategies to prevent and control PM1 in China, such as to foster strict regulations for automobile and industrial emissions.
Authors: Rongbin Xu; Qi Zhao; Micheline S Z S Coelho; Paulo H N Saldiva; Sophia Zoungas; Rachel R Huxley; Michael J Abramson; Yuming Guo; Shanshan Li Journal: Environ Health Perspect Date: 2019-11-20 Impact factor: 9.031
Authors: Bingkui Qiu; Min Zhou; Yang Qiu; Yuxiang Ma; Chaonan Ma; Jiating Tu; Siqi Li Journal: Int J Environ Res Public Health Date: 2021-12-29 Impact factor: 3.390
Authors: Rongbin Xu; Qi Zhao; Micheline S Z S Coelho; Paulo H N Saldiva; Michael J Abramson; Shanshan Li; Yuming Guo Journal: PLoS Med Date: 2019-10-29 Impact factor: 11.069