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Long-term exposure to particulate matter and COPD mortality: Insights from causal inference methods based on a large population cohort in southern China.
Wang, Ying; Du, Zhicheng; Zhang, Yuqin; Chen, Shirui; Lin, Shao; Hopke, Philip K; Rich, David Q; Zhang, Kai; Romeiko, Xiaobo X; Deng, Xinlei; Qu, Yanji; Liu, Yu; Lin, Ziqiang; Zhu, Shuming; Zhang, Wangjian; Hao, Yuantao.
Afiliação
  • Wang Y; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Du Z; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Zhang Y; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Chen S; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Lin S; Department of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA.
  • Hopke PK; Institute for a Sustainable Environment, Clarkson University, Potsdam, NY, USA; Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
  • Rich DQ; Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
  • Zhang K; Department of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA.
  • Romeiko XX; Department of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA.
  • Deng X; Department of Environmental Health Sciences, School of Public Health, University at Albany, the State University of New York, Rensselaer, NY, USA.
  • Qu Y; Department of Cardiovascular Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China.
  • Liu Y; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Lin Z; Department of Psychiatry, New York University School of Medicine, NY, USA.
  • Zhu S; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Zhang W; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China. Electronic address: zhangwj227@mail.sysu.edu.cn.
  • Hao Y; Peking University Center for Public Health and Epidemic Preparedness & Response, Peking, China. Electronic address: haoyt@bjmu.edu.cn.
Sci Total Environ ; 863: 160808, 2023 Mar 10.
Article em En | MEDLINE | ID: mdl-36502970
ABSTRACT

BACKGROUND:

Evidence of the association between long-term exposure to particulate matter (PM) and chronic obstructive pulmonary disease (COPD) mortality from large population-based cohort study is limited and often suffers from residual confounding issues with traditional statistical methods. We hereby assessed the casual relationship between long-term PM (PM2.5, PM10 and PM10-2.5) exposure and COPD mortality in a large cohort of Chinese adults using state-of-the-art causal inference approaches.

METHODS:

A total of 580,757 participants in southern China were enrolled in a prospective cohort study from 2009 to 2015 and followed up until December 2020. Exposures to PM at each residential address were obtained from the Long-term Gap-free High-resolution Air Pollutant Concentration dataset. Marginal structural Cox models were used to investigate the association between COPD mortality and annual average exposure levels of PM exposure.

RESULTS:

During an average follow-up of 8.0 years, 2250 COPD-related deaths occurred. Under a set of causal inference assumptions, the hazard ratio (HR) for COPD mortality was estimated to be 1.046 (95 % confidence interval 1.034-1057), 1.037 (1.028-1.047), and 1.032 (1.006-1.058) for each 1-µg/m3 increase in annual average concentrations of PM2.5, PM10, and PM10-2.5 respectively. Additionally, the detrimental effects appeared to be more pronounced among the elderly (age ≥ 65) and inactive participants. The effect estimates of PM2.5, PM10, and PM10-2.5 tend to be greater among participants who were generally exposed to PM10 concentrations below 70 µg/m3 than that among the general population.

CONCLUSION:

Our results support causal links between long-term PM exposure and COPD mortality, highlighting the urgency for more effective strategies to reduce PM exposure, with particular attention on protecting potentially vulnerable groups.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença Pulmonar Obstrutiva Crônica / Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Humans País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença Pulmonar Obstrutiva Crônica / Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Humans País/Região como assunto: Asia Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China