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 in | Environment international Vol. 138; p. 105589 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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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. |
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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 |
AuthorAffiliation_xml | – name: g Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan 250062, China – name: i Department of Prevention Medicine, Shenzhen University School of Medicine, Shenzhen 518060, China – name: a Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China – name: h Sichuan Center for Disease Control and Prevention, Chengdu 610041, China – name: d Division of Epidemiology, Guangdong Provincial People’s Hospital and Cardiovascular Institute, Guangzhou 510080, China – name: f Department of Cardiology, Fujian Provincial Hospital, Fuzhou 350014, China – name: c School of Environment, Tsinghua University, Beijing 100084, China – name: k Medical School, Southern University of Science and Technology, Shenzhen 518055, China – name: 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 – name: e Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China – name: j Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA |
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Keywords | Long-term exposure Concentration-response relationship Cohort study Mortality Satellite-based PM2.5 |
Language | English |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 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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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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StartPage | 105589 |
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 |
URI | https://dx.doi.org/10.1016/j.envint.2020.105589 https://www.proquest.com/docview/2375512673 https://www.proquest.com/docview/2388744391 https://pubmed.ncbi.nlm.nih.gov/PMC8164211 https://doaj.org/article/7bfb09de5b014898a567d5da8538fa82 |
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