Associations of long-term exposure to ambient PM2.5 with mortality in Chinese adults: A pooled analysis of cohorts in the China-PAR project

•Combining satellite-based PM2.5 levels with cohort data in general Chinese adults.•A broad range of long-term exposure to PM2.5 from 31 μg/m3 to 97 μg/m3.•A weak exponential curve observed between long-term PM2.5 exposure and mortality. The concentration-response relationship between mortality and...

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Published inEnvironment international Vol. 138; p. 105589
Main Authors Yang, Xueli, Liang, Fengchao, Li, Jianxin, Chen, Jichun, Liu, Fangchao, Huang, Keyong, Cao, Jie, Chen, Shufeng, Xiao, Qingyang, Liu, Xiaoqing, Shen, Chong, Yu, Ling, Lu, Fanghong, Wu, Xianping, Wu, Xigui, Li, Ying, Zhao, Liancheng, Hu, Dongsheng, Huang, Jianfeng, Lu, Xiangfeng, Liu, Yang, Gu, Dongfeng
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.05.2020
Elsevier
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Abstract •Combining satellite-based PM2.5 levels with cohort data in general Chinese adults.•A broad range of long-term exposure to PM2.5 from 31 μg/m3 to 97 μg/m3.•A weak exponential curve observed between long-term PM2.5 exposure and mortality. The concentration-response relationship between mortality and long-term exposure to fine particulate matter (PM2.5) has not been fully elucidated, especially at high levels of PM2.5 concentrations. We aimed to evaluate chronic effects of ambient PM2.5 exposure on deaths among Chinese adults in high-exposure settings. Participants of the Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR) project were included from four prospective cohorts among Chinese adults aged ≥18 years old. The overall follow-up rate of the four cohorts was 93.4% until the recent follow-up survey that ended in 2015. The average of satellite-based PM2.5 concentrations during 2000–2015 at 1-km spatial resolution was assigned to each participant according to individual residence addresses. Based on the pooled analysis of individual data from the four cohorts, a Cox proportional hazards model was used to estimate the hazard ratio (HR) and corresponding 95% confidence intervals (95% CIs) for the association of PM2.5 exposure with mortality after multivariate adjustment. A total of 116,821 participants were eligible in the final analysis. During a mean of 7.7 years of follow-up, 6,395 non-accidental deaths and 2,507 cardio-metabolic deaths occurred. The mean of PM2.5 concentration was 64.9 μg/m3 ranging from 31.2 μg/m3 to 97.0 μg/m3. For each 10 μg/m3 increment in PM2.5, the HR was 1.11 (95% CI: 1.08–1.14) for non-accidental mortality and 1.22 (95% CI: 1.16–1.27) for cardio-metabolic mortality. In addition, a weak exponential curve for the concentration-response association between mortality and PM2.5 was observed among Chinese adults. Our study provided important evidence of the long-term effects of PM2.5 exposure on deaths among Chinese adults. The findings expand our knowledge on concentration-response relationship in high-exposure environments, which is essential to address the urgent challenge of reducing the disease burden attributable to PM2.5 exposure in rapidly industrializing countries such as China.
AbstractList The concentration-response relationship between mortality and long-term exposure to fine particulate matter (PM2.5) has not been fully elucidated, especially at high levels of PM2.5 concentrations.BACKGROUNDThe concentration-response relationship between mortality and long-term exposure to fine particulate matter (PM2.5) has not been fully elucidated, especially at high levels of PM2.5 concentrations.We aimed to evaluate chronic effects of ambient PM2.5 exposure on deaths among Chinese adults in high-exposure settings.OBJECTIVEWe aimed to evaluate chronic effects of ambient PM2.5 exposure on deaths among Chinese adults in high-exposure settings.Participants of the Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR) project were included from four prospective cohorts among Chinese adults aged ≥18 years old. The overall follow-up rate of the four cohorts was 93.4% until the recent follow-up survey that ended in 2015. The average of satellite-based PM2.5 concentrations during 2000-2015 at 1-km spatial resolution was assigned to each participant according to individual residence addresses. Based on the pooled analysis of individual data from the four cohorts, a Cox proportional hazards model was used to estimate the hazard ratio (HR) and corresponding 95% confidence intervals (95% CIs) for the association of PM2.5 exposure with mortality after multivariate adjustment.METHODSParticipants of the Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR) project were included from four prospective cohorts among Chinese adults aged ≥18 years old. The overall follow-up rate of the four cohorts was 93.4% until the recent follow-up survey that ended in 2015. The average of satellite-based PM2.5 concentrations during 2000-2015 at 1-km spatial resolution was assigned to each participant according to individual residence addresses. Based on the pooled analysis of individual data from the four cohorts, a Cox proportional hazards model was used to estimate the hazard ratio (HR) and corresponding 95% confidence intervals (95% CIs) for the association of PM2.5 exposure with mortality after multivariate adjustment.A total of 116,821 participants were eligible in the final analysis. During a mean of 7.7 years of follow-up, 6,395 non-accidental deaths and 2,507 cardio-metabolic deaths occurred. The mean of PM2.5 concentration was 64.9 μg/m3 ranging from 31.2 μg/m3 to 97.0 μg/m3. For each 10 μg/m3 increment in PM2.5, the HR was 1.11 (95% CI: 1.08-1.14) for non-accidental mortality and 1.22 (95% CI: 1.16-1.27) for cardio-metabolic mortality. In addition, a weak exponential curve for the concentration-response association between mortality and PM2.5 was observed among Chinese adults.RESULTSA total of 116,821 participants were eligible in the final analysis. During a mean of 7.7 years of follow-up, 6,395 non-accidental deaths and 2,507 cardio-metabolic deaths occurred. The mean of PM2.5 concentration was 64.9 μg/m3 ranging from 31.2 μg/m3 to 97.0 μg/m3. For each 10 μg/m3 increment in PM2.5, the HR was 1.11 (95% CI: 1.08-1.14) for non-accidental mortality and 1.22 (95% CI: 1.16-1.27) for cardio-metabolic mortality. In addition, a weak exponential curve for the concentration-response association between mortality and PM2.5 was observed among Chinese adults.Our study provided important evidence of the long-term effects of PM2.5 exposure on deaths among Chinese adults. The findings expand our knowledge on concentration-response relationship in high-exposure environments, which is essential to address the urgent challenge of reducing the disease burden attributable to PM2.5 exposure in rapidly industrializing countries such as China.CONCLUSIONSOur study provided important evidence of the long-term effects of PM2.5 exposure on deaths among Chinese adults. The findings expand our knowledge on concentration-response relationship in high-exposure environments, which is essential to address the urgent challenge of reducing the disease burden attributable to PM2.5 exposure in rapidly industrializing countries such as China.
Background: The concentration-response relationship between mortality and long-term exposure to fine particulate matter (PM2.5) has not been fully elucidated, especially at high levels of PM2.5 concentrations. Objective: We aimed to evaluate chronic effects of ambient PM2.5 exposure on deaths among Chinese adults in high-exposure settings. Methods: Participants of the Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR) project were included from four prospective cohorts among Chinese adults aged ≥18 years old. The overall follow-up rate of the four cohorts was 93.4% until the recent follow-up survey that ended in 2015. The average of satellite-based PM2.5 concentrations during 2000–2015 at 1-km spatial resolution was assigned to each participant according to individual residence addresses. Based on the pooled analysis of individual data from the four cohorts, a Cox proportional hazards model was used to estimate the hazard ratio (HR) and corresponding 95% confidence intervals (95% CIs) for the association of PM2.5 exposure with mortality after multivariate adjustment. Results: A total of 116,821 participants were eligible in the final analysis. During a mean of 7.7 years of follow-up, 6,395 non-accidental deaths and 2,507 cardio-metabolic deaths occurred. The mean of PM2.5 concentration was 64.9 μg/m3 ranging from 31.2 μg/m3 to 97.0 μg/m3. For each 10 μg/m3 increment in PM2.5, the HR was 1.11 (95% CI: 1.08–1.14) for non-accidental mortality and 1.22 (95% CI: 1.16–1.27) for cardio-metabolic mortality. In addition, a weak exponential curve for the concentration-response association between mortality and PM2.5 was observed among Chinese adults. Conclusions: Our study provided important evidence of the long-term effects of PM2.5 exposure on deaths among Chinese adults. The findings expand our knowledge on concentration-response relationship in high-exposure environments, which is essential to address the urgent challenge of reducing the disease burden attributable to PM2.5 exposure in rapidly industrializing countries such as China. Keywords: Satellite-based PM2.5, Long-term exposure, Cohort study, Mortality, Concentration-response relationship
•Combining satellite-based PM2.5 levels with cohort data in general Chinese adults.•A broad range of long-term exposure to PM2.5 from 31 μg/m3 to 97 μg/m3.•A weak exponential curve observed between long-term PM2.5 exposure and mortality. The concentration-response relationship between mortality and long-term exposure to fine particulate matter (PM2.5) has not been fully elucidated, especially at high levels of PM2.5 concentrations. We aimed to evaluate chronic effects of ambient PM2.5 exposure on deaths among Chinese adults in high-exposure settings. Participants of the Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR) project were included from four prospective cohorts among Chinese adults aged ≥18 years old. The overall follow-up rate of the four cohorts was 93.4% until the recent follow-up survey that ended in 2015. The average of satellite-based PM2.5 concentrations during 2000–2015 at 1-km spatial resolution was assigned to each participant according to individual residence addresses. Based on the pooled analysis of individual data from the four cohorts, a Cox proportional hazards model was used to estimate the hazard ratio (HR) and corresponding 95% confidence intervals (95% CIs) for the association of PM2.5 exposure with mortality after multivariate adjustment. A total of 116,821 participants were eligible in the final analysis. During a mean of 7.7 years of follow-up, 6,395 non-accidental deaths and 2,507 cardio-metabolic deaths occurred. The mean of PM2.5 concentration was 64.9 μg/m3 ranging from 31.2 μg/m3 to 97.0 μg/m3. For each 10 μg/m3 increment in PM2.5, the HR was 1.11 (95% CI: 1.08–1.14) for non-accidental mortality and 1.22 (95% CI: 1.16–1.27) for cardio-metabolic mortality. In addition, a weak exponential curve for the concentration-response association between mortality and PM2.5 was observed among Chinese adults. Our study provided important evidence of the long-term effects of PM2.5 exposure on deaths among Chinese adults. The findings expand our knowledge on concentration-response relationship in high-exposure environments, which is essential to address the urgent challenge of reducing the disease burden attributable to PM2.5 exposure in rapidly industrializing countries such as China.
The concentration-response relationship between mortality and long-term exposure to fine particulate matter (PM₂.₅) has not been fully elucidated, especially at high levels of PM₂.₅ concentrations.We aimed to evaluate chronic effects of ambient PM₂.₅ exposure on deaths among Chinese adults in high-exposure settings.Participants of the Prediction for Atherosclerotic cardiovascular disease Risk in China (China-PAR) project were included from four prospective cohorts among Chinese adults aged ≥18 years old. The overall follow-up rate of the four cohorts was 93.4% until the recent follow-up survey that ended in 2015. The average of satellite-based PM₂.₅ concentrations during 2000–2015 at 1-km spatial resolution was assigned to each participant according to individual residence addresses. Based on the pooled analysis of individual data from the four cohorts, a Cox proportional hazards model was used to estimate the hazard ratio (HR) and corresponding 95% confidence intervals (95% CIs) for the association of PM₂.₅ exposure with mortality after multivariate adjustment.A total of 116,821 participants were eligible in the final analysis. During a mean of 7.7 years of follow-up, 6,395 non-accidental deaths and 2,507 cardio-metabolic deaths occurred. The mean of PM₂.₅ concentration was 64.9 μg/m³ ranging from 31.2 μg/m³ to 97.0 μg/m³. For each 10 μg/m³ increment in PM₂.₅, the HR was 1.11 (95% CI: 1.08–1.14) for non-accidental mortality and 1.22 (95% CI: 1.16–1.27) for cardio-metabolic mortality. In addition, a weak exponential curve for the concentration-response association between mortality and PM₂.₅ was observed among Chinese adults.Our study provided important evidence of the long-term effects of PM₂.₅ exposure on deaths among Chinese adults. The findings expand our knowledge on concentration-response relationship in high-exposure environments, which is essential to address the urgent challenge of reducing the disease burden attributable to PM₂.₅ exposure in rapidly industrializing countries such as China.
ArticleNumber 105589
Author Liu, Fangchao
Liang, Fengchao
Lu, Fanghong
Yang, Xueli
Xiao, Qingyang
Lu, Xiangfeng
Hu, Dongsheng
Liu, Yang
Huang, Keyong
Huang, Jianfeng
Li, Jianxin
Cao, Jie
Wu, Xianping
Chen, Shufeng
Li, Ying
Gu, Dongfeng
Zhao, Liancheng
Wu, Xigui
Shen, Chong
Yu, Ling
Liu, Xiaoqing
Chen, Jichun
AuthorAffiliation j Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
k Medical School, Southern University of Science and Technology, Shenzhen 518055, China
g Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan 250062, China
c School of Environment, Tsinghua University, Beijing 100084, China
b Tianjin Key Laboratory of Environment, Nutrition and Public Health; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
f Department of Cardiology, Fujian Provincial Hospital, Fuzhou 350014, China
i Department of Prevention Medicine, Shenzhen University School of Medicine, Shenzhen 518060, China
h Sichuan Center for Disease Control and Prevention, Chengdu 610041, China
e Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
a Key Laboratory of Cardiov
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Cites_doi 10.1016/j.asr.2008.04.008
10.5194/amt-6-2989-2013
10.1016/j.envint.2019.02.069
10.1021/acs.est.8b02917
10.1016/j.envint.2017.11.030
10.1073/pnas.1803222115
10.1289/ehp.1104660
10.1016/j.jacc.2016.06.011
10.1016/j.ijheh.2017.09.010
10.1016/S2468-2667(18)30144-0
10.1289/ehp.1205862
10.1056/NEJMoa1817364
10.1056/NEJMoa1702747
10.1016/j.envpol.2018.06.097
10.1289/EHP1673
10.1016/j.rser.2016.01.121
10.1016/j.envint.2017.09.005
10.1161/CIRCRESAHA.116.305060
10.1161/CIRCULATIONAHA.116.022367
10.1016/S0140-6736(17)30505-6
10.1136/bmj.317.7170.1423
10.1161/HYPERTENSIONAHA.119.12666
10.1289/ehp.1307049
10.1161/CIR.0b013e3181dbece1
10.1016/S0140-6736(13)62158-3
10.1093/eurheartj/ehz135
10.1056/NEJMoa054409
10.1016/j.envres.2017.08.037
10.1001/jama.2018.2151
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Copyright © 2020. Published by Elsevier Ltd.
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Keywords Long-term exposure
Concentration-response relationship
Cohort study
Mortality
Satellite-based PM2.5
Language English
License This is an open access article under the CC BY-NC-ND license.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
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content type line 23
Xueli Yang: Formal analysis, Methodology, Writing - original draft, Writing - review & editing. Fengchao Liang: Data curation, Formal analysis, Methodology, Writing - review & editing. Jianxin Li: Data curation, Writing - review & editing. Jichun Chen: Investigation, Writing - review & editing. Fangchao Liu: Investigation, Writing - review & editing. Keyong Huang: Formal analysis, Investigation, Writing - review & editing. Jie Cao: Investigation, Writing - review & editing. Shufeng Chen: Investigation, Writing - review & editing. Qingyang Xiao: Investigation, Writing - review & editing. Xiaoqing Liu: Investigation, Writing - review & editing. Chong Shen: Investigation, Writing - review & editing. Ling Yu: Investigation, Writing - review & editing. Fanghong Lu: Investigation, Writing - review & editing. Xianping Wu: Investigation, Writing - review & editing. Xigui Wu: Investigation, Writing - review & editing. Ying Li: Investigation, Writing - review & editing. Liancheng Zhao: Investigation, Writing - review & editing. Dongsheng Hu: Investigation, Writing - review & editing. Jianfeng Huang: Investigation, Writing - review & editing. Xiangfeng Lu: Data curation, Supervision, Writing - review & editing. Yang Liu: Funding acquisition, Methodology, Supervision, Writing - review & editing. Dongfeng Gu: Conceptualization, Funding acquisition, Methodology, Supervision, Writing - review & editing.
CRediT authorship contribution statement
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References Miller, Siscovick, Sheppard, Shepherd, Sullivan, Anderson (b0130) 2007; 356
He, Neal, Gu, Suriyawongpaisal, Xin, Reynolds (b0075) 2004; 14
Badaloni, Cesaroni, Cerza, Davoli, Brunekreef, Forastiere (b0005) 2017; 109
GBD 2015 Risk Factors Collaborators, 2016. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet, 388(10053), 1659–1724.
Lelieveld, Klingmuller, Pozzer, Poschl, Fnais, Daiber (b0090) 2019; 40
Niu, Yang, Chen, Wang, Wang, He (b0135) 1998; 317
Institute for Health Metrics and Evaluation.
World Health Organization, 2019. Ambient air pollution: A global assessment of exposure and burden of disease. Available at
Li, Wang, Ley, Howard, He, Lu (bib191) 2016; 68
Li, Zhang, Wang, Xu, Yin, Chen (b0105) 2018; 3
Liao, Tang, Wei (b0120) 2016; 60
World Bank, 2013. China: Accelerating Household Access to Clean Cooking and Heating. East Asia and Pacific Clean Stove Initiative Series. Washington, DC: World Bank.
Di, Wang, Zanobetti, Wang, Koutrakis, Choirat (b0060) 2017; 376
Liang, Xiao, Gu, Xu, Tian, Guo (b0110) 2018; 242
Brook, Rajagopalan, Pope, Brook, Bhatnagar, Diez-Roux (b0015) 2010; 121
Yin, Brauer, Cohen, Burnett, Liu, Liu (b0180) 2017; 125
Huang, Yang, Liang, Liu, Li, Xiao (b0080) 2019; 73
The Collaborative Study Group on Trends of Cardiovascular Diseases in China and Preventive Strategy, 2001. Current status of major cardiovascular risk factors in Chinese populations and their trends in the past two decades. Chin J. Cardiol. 29(2), 74–79.
Chan, Lam, Kurmi, Guo, Bennett, Bian (b0045) 2017; 220
Levy, Mattoo, Munchak, Remer, Sayer, Patadia (b0100) 2013; 6
Data access 02/20/2019.
Xiong, Chiang, Sun, Barnes, Guenther, Salomonson (b0170) 2009; 43
Cohen, Brauer, Burnett, Anderson, Frostad, Estep (b0055) 2017; 389
Beelen, Raaschou-Nielsen, Stafoggia, Andersen, Weinmayr, Hoffmann (b0010) 2014; 383
Data access 06/29/2019.
Liang, Yang, Liu, Li, Xiao, Chen (b0115) 2019; 126
Liu, Chen, Sera, Vicedo-Cabrera, Guo, Tong (b0125) 2019; 381
Cakmak, Hebbern, Pinault, Lavigne, Vanos, Crouse (b0035) 2018; 111
Pinault, Weichenthal, Crouse, Brauer, Erickson, Donkelaar (b0140) 2017; 159
GBD 2017 Risk Factor Collaborators, 2018. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 392(10159), 1923–1994.
Zhao, Wu, Zhou, Li, Yang (b0190) 2003; 24
Accessed May 14, 2019.
Burnett, Chen, Szyszkowicz, Fann, Hubbell, Pope (b0025) 2018; 115
Cesaroni, Badaloni, Gariazzo, Stafoggia, Sozzi, Davoli (b0040) 2013; 121
Xiao, Chang, Geng, An (b0165) 2018; 52
Burnett, Pope, Ezzati, Olives, Lim, Mehta (b0030) 2014; 122
Yu, Qiu, Chan, Lam, Kurmi, Bennett (b0185) 2018; 319
Pope, Turner, Burnett, Jerrett, Gapstur, Diver (b0145) 2015; 116
Bulletin 2017 on the State of China's Ecological Environment.
Lepeule, Laden, Dockery, Schwartz (b0095) 2012; 120
Yang, Li, Hu, Chen, Li, Huang (b0175) 2016; 134
Miller (10.1016/j.envint.2020.105589_b0130) 2007; 356
Pinault (10.1016/j.envint.2020.105589_b0140) 2017; 159
Liang (10.1016/j.envint.2020.105589_b0115) 2019; 126
Li (10.1016/j.envint.2020.105589_bib191) 2016; 68
Yu (10.1016/j.envint.2020.105589_b0185) 2018; 319
Pope (10.1016/j.envint.2020.105589_b0145) 2015; 116
Yin (10.1016/j.envint.2020.105589_b0180) 2017; 125
Burnett (10.1016/j.envint.2020.105589_b0030) 2014; 122
Di (10.1016/j.envint.2020.105589_b0060) 2017; 376
Levy (10.1016/j.envint.2020.105589_b0100) 2013; 6
Huang (10.1016/j.envint.2020.105589_b0080) 2019; 73
10.1016/j.envint.2020.105589_b0160
Xiao (10.1016/j.envint.2020.105589_b0165) 2018; 52
10.1016/j.envint.2020.105589_b0085
10.1016/j.envint.2020.105589_b0020
Liang (10.1016/j.envint.2020.105589_b0110) 2018; 242
Xiong (10.1016/j.envint.2020.105589_b0170) 2009; 43
Lepeule (10.1016/j.envint.2020.105589_b0095) 2012; 120
Badaloni (10.1016/j.envint.2020.105589_b0005) 2017; 109
10.1016/j.envint.2020.105589_b0065
Cakmak (10.1016/j.envint.2020.105589_b0035) 2018; 111
Liu (10.1016/j.envint.2020.105589_b0125) 2019; 381
Liao (10.1016/j.envint.2020.105589_b0120) 2016; 60
Lelieveld (10.1016/j.envint.2020.105589_b0090) 2019; 40
Chan (10.1016/j.envint.2020.105589_b0045) 2017; 220
Burnett (10.1016/j.envint.2020.105589_b0025) 2018; 115
Zhao (10.1016/j.envint.2020.105589_b0190) 2003; 24
Beelen (10.1016/j.envint.2020.105589_b0010) 2014; 383
10.1016/j.envint.2020.105589_b0150
Niu (10.1016/j.envint.2020.105589_b0135) 1998; 317
Yang (10.1016/j.envint.2020.105589_b0175) 2016; 134
Brook (10.1016/j.envint.2020.105589_b0015) 2010; 121
10.1016/j.envint.2020.105589_b0070
Cesaroni (10.1016/j.envint.2020.105589_b0040) 2013; 121
Cohen (10.1016/j.envint.2020.105589_b0055) 2017; 389
He (10.1016/j.envint.2020.105589_b0075) 2004; 14
Li (10.1016/j.envint.2020.105589_b0105) 2018; 3
10.1016/j.envint.2020.105589_b0155
References_xml – volume: 159
  start-page: 406
  year: 2017
  end-page: 415
  ident: b0140
  article-title: Associations between fine particulate matter and mortality in the 2001 Canadian Census Health and Environment Cohort
  publication-title: Environ. Res.
– volume: 121
  start-page: 324
  year: 2013
  end-page: 331
  ident: b0040
  article-title: Long-term exposure to urban air pollution and mortality in a cohort of more than a million adults in Rome
  publication-title: Environ. Health Perspect.
– volume: 73
  start-page: 1195
  year: 2019
  end-page: 1201
  ident: b0080
  article-title: Long-term exposure to fine particulate matter and hypertension incidence in China
  publication-title: Hypertension
– volume: 68
  start-page: 818
  year: 2016
  end-page: 833
  ident: bib191
  article-title: Potential Impact of Time Trend of Life-Style Factors on Cardiovascular Disease Burden in China
  publication-title: J Am Coll Cardiol
– volume: 3
  start-page: e470
  year: 2018
  end-page: e477
  ident: b0105
  article-title: All-cause mortality risk associated with long-term exposure to ambient PM2·5 in China: a cohort study
  publication-title: Lancet Public Health.
– volume: 43
  start-page: 413
  year: 2009
  end-page: 422
  ident: b0170
  article-title: NASA EOS terra and aqua MODIS on-orbit performance
  publication-title: Adv. Space Res.
– volume: 242
  start-page: 492
  year: 2018
  end-page: 499
  ident: b0110
  article-title: Satellite-based short- and long-term exposure to PM2.5 and adult mortality in urban Beijing, China
  publication-title: Environ. Pollut.
– reference: GBD 2015 Risk Factors Collaborators, 2016. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet, 388(10053), 1659–1724.
– volume: 60
  start-page: 900
  year: 2016
  end-page: 908
  ident: b0120
  article-title: Solid fuel use in rural China and its health effects
  publication-title: Renew. Sustain. Energy Rev.
– reference: . Accessed May 14, 2019.
– volume: 121
  start-page: 2331
  year: 2010
  end-page: 2378
  ident: b0015
  article-title: Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association
  publication-title: Circulation
– volume: 122
  start-page: 397
  year: 2014
  end-page: 403
  ident: b0030
  article-title: An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure
  publication-title: Environ. Health Perspect.
– volume: 115
  start-page: 9592
  year: 2018
  end-page: 9597
  ident: b0025
  article-title: Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter
  publication-title: Proc. Natl. Acad. Sci. U S A.
– reference: The Collaborative Study Group on Trends of Cardiovascular Diseases in China and Preventive Strategy, 2001. Current status of major cardiovascular risk factors in Chinese populations and their trends in the past two decades. Chin J. Cardiol. 29(2), 74–79.
– volume: 376
  start-page: 2513
  year: 2017
  end-page: 2522
  ident: b0060
  article-title: Air pollution and mortality in the medicare population
  publication-title: N. Engl. J. Med.
– volume: 6
  start-page: 2989
  year: 2013
  end-page: 3034
  ident: b0100
  article-title: The Collection 6 MODIS aerosol products over land and ocean
  publication-title: Atmos. Meas. Tech.
– volume: 220
  start-page: 1370
  year: 2017
  end-page: 1381
  ident: b0045
  article-title: Trans-generational changes and rural-urban inequality in household fuel use and cookstove ventilation in China: A multi-region study of 0.5 million adults
  publication-title: Int. J. Hyg. Environ. Health
– volume: 383
  start-page: 785
  year: 2014
  end-page: 795
  ident: b0010
  article-title: Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project
  publication-title: Lancet
– volume: 134
  start-page: 1430
  year: 2016
  end-page: 1440
  ident: b0175
  article-title: Predicting the ten-year risks of atherosclerotic cardiovascular disease in chinese population: The China-PAR project
  publication-title: Circulation
– volume: 120
  start-page: 965
  year: 2012
  end-page: 970
  ident: b0095
  article-title: Chronic exposure to fine particles and mortality: an extended follow-up of the Harvard Six Cities study from 1974 to 2009
  publication-title: Environ. Health Perspect.
– reference: Institute for Health Metrics and Evaluation.
– volume: 52
  start-page: 13260
  year: 2018
  end-page: 13269
  ident: b0165
  article-title: Ensemble machine-learning model to predict historical PM2.5 concentrations in China from satellite data
  publication-title: Environ. Sci. Technol.
– volume: 126
  start-page: 568
  year: 2019
  end-page: 575
  ident: b0115
  article-title: Long-term exposure to ambient fine particulate matter and incidence of diabetes in China: A cohort study
  publication-title: Environ. Int.
– volume: 116
  start-page: 108
  year: 2015
  end-page: 115
  ident: b0145
  article-title: Relationships between fine particulate air pollution, cardiometabolic disorders, and cardiovascular mortality
  publication-title: Circ. Res.
– reference: World Bank, 2013. China: Accelerating Household Access to Clean Cooking and Heating. East Asia and Pacific Clean Stove Initiative Series. Washington, DC: World Bank.
– volume: 40
  start-page: 1590
  year: 2019
  end-page: 1596
  ident: b0090
  article-title: Cardiovascular disease burden from ambient air pollution in Europe reassessed using novel hazard ratio functions
  publication-title: Eur. Heart J.
– volume: 125
  start-page: 117002
  year: 2017
  ident: b0180
  article-title: Long-term fine particulate matter exposure and nonaccidental and cause-specific mortality in a large national cohort of Chinese men
  publication-title: Environ. Health Perspect.
– volume: 356
  start-page: 447
  year: 2007
  end-page: 458
  ident: b0130
  article-title: Long-term exposure to air pollution and incidence of cardiovascular events in women
  publication-title: N. Engl. J. Med.
– volume: 381
  start-page: 705
  year: 2019
  end-page: 715
  ident: b0125
  article-title: Ambient particulate air pollution and daily mortality in 652 cities
  publication-title: N. Engl. J. Med.
– reference: . Data access 02/20/2019.
– volume: 24
  start-page: 471
  year: 2003
  end-page: 475
  ident: b0190
  article-title: Mean level of blood pressure and rate of hypertension among people with different levels of body mass index and waist circumference
  publication-title: Zhonghua Liu Xing Bing Xue Za Zhi.
– reference: World Health Organization, 2019. Ambient air pollution: A global assessment of exposure and burden of disease. Available at
– volume: 319
  start-page: 1351
  year: 2018
  end-page: 1361
  ident: b0185
  article-title: Association of solid fuel use with risk of cardiovascular and all-cause mortality in rural China
  publication-title: JAMA
– volume: 389
  start-page: 1907
  year: 2017
  end-page: 1918
  ident: b0055
  article-title: Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015
  publication-title: Lancet
– reference: GBD 2017 Risk Factor Collaborators, 2018. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 392(10159), 1923–1994.
– volume: 14
  start-page: 260
  year: 2004
  end-page: 268
  ident: b0075
  article-title: International collaborative study of cardiovascular disease in Asia: design, rationale, and preliminary results
  publication-title: Ethn. Dis.
– volume: 109
  start-page: 146
  year: 2017
  end-page: 154
  ident: b0005
  article-title: Effects of long-term exposure to particulate matter and metal components on mortality in the Rome longitudinal study
  publication-title: Environ. Int.
– volume: 317
  start-page: 1423
  year: 1998
  end-page: 1424
  ident: b0135
  article-title: Emerging tobacco hazards in China: 2. Early mortality results from a prospective study
  publication-title: BMJ
– volume: 111
  start-page: 200
  year: 2018
  end-page: 211
  ident: b0035
  article-title: Associations between long-term PM2.5 and ozone exposure and mortality in the Canadian Census Health and Environment Cohort (CANCHEC), by spatial synoptic classification zone
  publication-title: Environ. Int.
– reference: . Data access 06/29/2019.
– reference: Bulletin 2017 on the State of China's Ecological Environment.
– volume: 43
  start-page: 413
  issue: 3
  year: 2009
  ident: 10.1016/j.envint.2020.105589_b0170
  article-title: NASA EOS terra and aqua MODIS on-orbit performance
  publication-title: Adv. Space Res.
  doi: 10.1016/j.asr.2008.04.008
– volume: 6
  start-page: 2989
  issue: 11
  year: 2013
  ident: 10.1016/j.envint.2020.105589_b0100
  article-title: The Collection 6 MODIS aerosol products over land and ocean
  publication-title: Atmos. Meas. Tech.
  doi: 10.5194/amt-6-2989-2013
– volume: 126
  start-page: 568
  year: 2019
  ident: 10.1016/j.envint.2020.105589_b0115
  article-title: Long-term exposure to ambient fine particulate matter and incidence of diabetes in China: A cohort study
  publication-title: Environ. Int.
  doi: 10.1016/j.envint.2019.02.069
– volume: 52
  start-page: 13260
  issue: 22
  year: 2018
  ident: 10.1016/j.envint.2020.105589_b0165
  article-title: Ensemble machine-learning model to predict historical PM2.5 concentrations in China from satellite data
  publication-title: Environ. Sci. Technol.
  doi: 10.1021/acs.est.8b02917
– volume: 111
  start-page: 200
  year: 2018
  ident: 10.1016/j.envint.2020.105589_b0035
  article-title: Associations between long-term PM2.5 and ozone exposure and mortality in the Canadian Census Health and Environment Cohort (CANCHEC), by spatial synoptic classification zone
  publication-title: Environ. Int.
  doi: 10.1016/j.envint.2017.11.030
– ident: 10.1016/j.envint.2020.105589_b0160
– volume: 24
  start-page: 471
  issue: 6
  year: 2003
  ident: 10.1016/j.envint.2020.105589_b0190
  article-title: Mean level of blood pressure and rate of hypertension among people with different levels of body mass index and waist circumference
  publication-title: Zhonghua Liu Xing Bing Xue Za Zhi.
– volume: 115
  start-page: 9592
  issue: 38
  year: 2018
  ident: 10.1016/j.envint.2020.105589_b0025
  article-title: Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter
  publication-title: Proc. Natl. Acad. Sci. U S A.
  doi: 10.1073/pnas.1803222115
– volume: 120
  start-page: 965
  issue: 7
  year: 2012
  ident: 10.1016/j.envint.2020.105589_b0095
  article-title: Chronic exposure to fine particles and mortality: an extended follow-up of the Harvard Six Cities study from 1974 to 2009
  publication-title: Environ. Health Perspect.
  doi: 10.1289/ehp.1104660
– volume: 68
  start-page: 818
  issue: 8
  year: 2016
  ident: 10.1016/j.envint.2020.105589_bib191
  article-title: Potential Impact of Time Trend of Life-Style Factors on Cardiovascular Disease Burden in China
  publication-title: J Am Coll Cardiol
  doi: 10.1016/j.jacc.2016.06.011
– volume: 220
  start-page: 1370
  issue: 8
  year: 2017
  ident: 10.1016/j.envint.2020.105589_b0045
  article-title: Trans-generational changes and rural-urban inequality in household fuel use and cookstove ventilation in China: A multi-region study of 0.5 million adults
  publication-title: Int. J. Hyg. Environ. Health
  doi: 10.1016/j.ijheh.2017.09.010
– ident: 10.1016/j.envint.2020.105589_b0155
– ident: 10.1016/j.envint.2020.105589_b0065
– volume: 3
  start-page: e470
  issue: 10
  year: 2018
  ident: 10.1016/j.envint.2020.105589_b0105
  article-title: All-cause mortality risk associated with long-term exposure to ambient PM2·5 in China: a cohort study
  publication-title: Lancet Public Health.
  doi: 10.1016/S2468-2667(18)30144-0
– volume: 121
  start-page: 324
  issue: 3
  year: 2013
  ident: 10.1016/j.envint.2020.105589_b0040
  article-title: Long-term exposure to urban air pollution and mortality in a cohort of more than a million adults in Rome
  publication-title: Environ. Health Perspect.
  doi: 10.1289/ehp.1205862
– volume: 381
  start-page: 705
  issue: 8
  year: 2019
  ident: 10.1016/j.envint.2020.105589_b0125
  article-title: Ambient particulate air pollution and daily mortality in 652 cities
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa1817364
– volume: 376
  start-page: 2513
  issue: 26
  year: 2017
  ident: 10.1016/j.envint.2020.105589_b0060
  article-title: Air pollution and mortality in the medicare population
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa1702747
– volume: 242
  start-page: 492
  issue: Pt A
  year: 2018
  ident: 10.1016/j.envint.2020.105589_b0110
  article-title: Satellite-based short- and long-term exposure to PM2.5 and adult mortality in urban Beijing, China
  publication-title: Environ. Pollut.
  doi: 10.1016/j.envpol.2018.06.097
– volume: 125
  start-page: 117002
  issue: 11
  year: 2017
  ident: 10.1016/j.envint.2020.105589_b0180
  article-title: Long-term fine particulate matter exposure and nonaccidental and cause-specific mortality in a large national cohort of Chinese men
  publication-title: Environ. Health Perspect.
  doi: 10.1289/EHP1673
– volume: 60
  start-page: 900
  year: 2016
  ident: 10.1016/j.envint.2020.105589_b0120
  article-title: Solid fuel use in rural China and its health effects
  publication-title: Renew. Sustain. Energy Rev.
  doi: 10.1016/j.rser.2016.01.121
– volume: 109
  start-page: 146
  year: 2017
  ident: 10.1016/j.envint.2020.105589_b0005
  article-title: Effects of long-term exposure to particulate matter and metal components on mortality in the Rome longitudinal study
  publication-title: Environ. Int.
  doi: 10.1016/j.envint.2017.09.005
– volume: 116
  start-page: 108
  issue: 1
  year: 2015
  ident: 10.1016/j.envint.2020.105589_b0145
  article-title: Relationships between fine particulate air pollution, cardiometabolic disorders, and cardiovascular mortality
  publication-title: Circ. Res.
  doi: 10.1161/CIRCRESAHA.116.305060
– volume: 134
  start-page: 1430
  year: 2016
  ident: 10.1016/j.envint.2020.105589_b0175
  article-title: Predicting the ten-year risks of atherosclerotic cardiovascular disease in chinese population: The China-PAR project
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.116.022367
– volume: 14
  start-page: 260
  issue: 2
  year: 2004
  ident: 10.1016/j.envint.2020.105589_b0075
  article-title: International collaborative study of cardiovascular disease in Asia: design, rationale, and preliminary results
  publication-title: Ethn. Dis.
– ident: 10.1016/j.envint.2020.105589_b0085
– volume: 389
  start-page: 1907
  issue: 10082
  year: 2017
  ident: 10.1016/j.envint.2020.105589_b0055
  article-title: Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015
  publication-title: Lancet
  doi: 10.1016/S0140-6736(17)30505-6
– volume: 317
  start-page: 1423
  issue: 7170
  year: 1998
  ident: 10.1016/j.envint.2020.105589_b0135
  article-title: Emerging tobacco hazards in China: 2. Early mortality results from a prospective study
  publication-title: BMJ
  doi: 10.1136/bmj.317.7170.1423
– volume: 73
  start-page: 1195
  issue: 6
  year: 2019
  ident: 10.1016/j.envint.2020.105589_b0080
  article-title: Long-term exposure to fine particulate matter and hypertension incidence in China
  publication-title: Hypertension
  doi: 10.1161/HYPERTENSIONAHA.119.12666
– ident: 10.1016/j.envint.2020.105589_b0020
– volume: 122
  start-page: 397
  issue: 4
  year: 2014
  ident: 10.1016/j.envint.2020.105589_b0030
  article-title: An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure
  publication-title: Environ. Health Perspect.
  doi: 10.1289/ehp.1307049
– ident: 10.1016/j.envint.2020.105589_b0070
– volume: 121
  start-page: 2331
  issue: 21
  year: 2010
  ident: 10.1016/j.envint.2020.105589_b0015
  article-title: Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association
  publication-title: Circulation
  doi: 10.1161/CIR.0b013e3181dbece1
– volume: 383
  start-page: 785
  issue: 9919
  year: 2014
  ident: 10.1016/j.envint.2020.105589_b0010
  article-title: Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project
  publication-title: Lancet
  doi: 10.1016/S0140-6736(13)62158-3
– ident: 10.1016/j.envint.2020.105589_b0150
– volume: 40
  start-page: 1590
  issue: 20
  year: 2019
  ident: 10.1016/j.envint.2020.105589_b0090
  article-title: Cardiovascular disease burden from ambient air pollution in Europe reassessed using novel hazard ratio functions
  publication-title: Eur. Heart J.
  doi: 10.1093/eurheartj/ehz135
– volume: 356
  start-page: 447
  issue: 5
  year: 2007
  ident: 10.1016/j.envint.2020.105589_b0130
  article-title: Long-term exposure to air pollution and incidence of cardiovascular events in women
  publication-title: N. Engl. J. Med.
  doi: 10.1056/NEJMoa054409
– volume: 159
  start-page: 406
  year: 2017
  ident: 10.1016/j.envint.2020.105589_b0140
  article-title: Associations between fine particulate matter and mortality in the 2001 Canadian Census Health and Environment Cohort
  publication-title: Environ. Res.
  doi: 10.1016/j.envres.2017.08.037
– volume: 319
  start-page: 1351
  issue: 13
  year: 2018
  ident: 10.1016/j.envint.2020.105589_b0185
  article-title: Association of solid fuel use with risk of cardiovascular and all-cause mortality in rural China
  publication-title: JAMA
  doi: 10.1001/jama.2018.2151
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Snippet •Combining satellite-based PM2.5 levels with cohort data in general Chinese adults.•A broad range of long-term exposure to PM2.5 from 31 μg/m3 to 97 μg/m3.•A...
The concentration-response relationship between mortality and long-term exposure to fine particulate matter (PM2.5) has not been fully elucidated, especially...
The concentration-response relationship between mortality and long-term exposure to fine particulate matter (PM₂.₅) has not been fully elucidated, especially...
Background: The concentration-response relationship between mortality and long-term exposure to fine particulate matter (PM2.5) has not been fully elucidated,...
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SubjectTerms adults
burden of disease
cardiovascular diseases
China
chronic exposure
Cohort study
Concentration-response relationship
confidence interval
long term effects
Long-term exposure
Mortality
particulates
prediction
Satellite-based PM2.5
satellites
surveys
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Title Associations of long-term exposure to ambient PM2.5 with mortality in Chinese adults: A pooled analysis of cohorts in the China-PAR project
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