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Long-term PM2.5 exposure in association with chronic respiratory diseases morbidity: A cohort study in Northern China.
Yan, Mengfan; Ge, Han; Zhang, Liwen; Chen, Xi; Yang, Xueli; Liu, Fangchao; Shan, Anqi; Liang, Fengchao; Li, Xuejun; Ma, Zhao; Dong, Guanghui; Liu, Yamin; Chen, Jie; Wang, Tong; Zhao, Baoxin; Zeng, Qiang; Lu, Xiangfeng; Liu, Yang; Tang, Nai-Jun.
Affiliation
  • Yan M; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tia
  • Ge H; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Pu
  • Zhang L; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Pu
  • Chen X; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Pu
  • Yang X; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Pu
  • Liu F; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
  • Shan A; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Pu
  • Liang F; School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China.
  • Li X; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Pu
  • Ma Z; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Pu
  • Dong G; Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Liu Y; School of Medicine and Life Sciences, Shandong Academy of Medical Sciences, Jinan 250062, China.
  • Chen J; Department of Occupational and Environmental Health, School of Public Health, China Medical University, Shenyang 110122, China.
  • Wang T; School of Public Health, Shanxi Medical University, Taiyuan 030001, China.
  • Zhao B; Taiyuan Center for Disease Control and Prevention, Taiyuan 030001, China.
  • Zeng Q; Tianjin Center for Disease Control and Prevention, Tianjin 300011, China.
  • Lu X; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
  • Liu Y; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
  • Tang NJ; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Pu
Ecotoxicol Environ Saf ; 244: 114025, 2022 Oct 01.
Article in En | MEDLINE | ID: mdl-36049332
ABSTRACT
Several literatures have examined the risk of chronic respiratory diseases in association with short-term ambient PM2.5 exposure in China. However, little evidence has examined the chronic impacts of PM2.5 exposure on morbidity of chronic respiratory diseases in cohorts from high pollution countries. Our study aims to investigate the associations. Based on a retrospective cohort among adults in northern China, a Cox regression model with time-varying PM2.5 exposure and a concentration-response (C-R) curve model were performed to access the relationships between incidence of chronic respiratory diseases and long-term PM2.5 exposure during a mean follow-up time of 9.8 years. Individual annual average PM2.5 estimates were obtained from a satellite-based model with high resolution. The incident date of a chronic respiratory disease was identified according to self-reported physician diagnosis time and/or intake of medication for treatment. Among 38,047 urban subjects analyzed in all-cause chronic respiratory disease cohort, 482 developed new cases. In CB (38,369), asthma (38,783), and COPD (38,921) cohorts, the onsets were 276, 89, and 14, respectively. After multivariable adjustment, hazard ratio and 95% confidence interval for morbidity of all-cause chronic respiratory disease, CB, asthma, and COPD were 1.15 (1.01, 1.31), 1.20 (1.00, 1.42), 0.76 (0.55, 1.04), and 0.66 (0.29, 1.47) with each 10 µg/m3 increment in PM2.5, respectively. Stronger effect estimates were suggested in alcohol drinkers across stratified analyses. Additionally, the shape of C-R curve showed an increasing linear relationship before 75.00 µg/m3 concentrations of PM2.5 for new-onset all-cause chronic respiratory disease, and leveled off at higher levels. These findings indicated that long-term exposure to high-level PM2.5 increased the risks of incident chronic respiratory diseases in China. Further evidence of C-R curves is warranted to clarify the associations of adverse chronic respiratory outcomes involving air pollution.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Asthma / Pulmonary Disease, Chronic Obstructive / Air Pollutants / Air Pollution Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Humans Country/Region as subject: Asia Language: En Journal: Ecotoxicol Environ Saf Year: 2022 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Asthma / Pulmonary Disease, Chronic Obstructive / Air Pollutants / Air Pollution Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Humans Country/Region as subject: Asia Language: En Journal: Ecotoxicol Environ Saf Year: 2022 Type: Article