Long-term associations of PM 1 versus PM 2.5 and PM 10 with asthma and asthma-related respiratory symptoms in the middle-aged and elderly population.

Autor: Zheng XY; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.; Xue-yan Zheng, Shu-jun Guo and Jian-xiong Hu contributed equally to this article as joint first authors., Guo SJ; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Department of Respiratory and Critical Care Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.; Xue-yan Zheng, Shu-jun Guo and Jian-xiong Hu contributed equally to this article as joint first authors., Hu JX; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.; Xue-yan Zheng, Shu-jun Guo and Jian-xiong Hu contributed equally to this article as joint first authors., Meng RL; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China., Xu YJ; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China., Lv YH; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China., Wang Y; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China., Xiao N; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China., Li C; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China., Xu XJ; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China., Zhao DJ; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China., Zhou HY; Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China., He JH; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Department of Respiratory and Critical Care Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China., Tan XM; Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China., Wei J; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA., Lin LF; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.; School of Public Health, Southern Medical University, Guangzhou, China.; Li-feng Lin and Wei-jie Guan contributed equally to this article as lead authors and supervised the work., Guan WJ; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Department of Respiratory and Critical Care Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.; Department of Thoracic Surgery, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.; Guangzhou National Laboratory, Guangzhou, China.; Li-feng Lin and Wei-jie Guan contributed equally to this article as lead authors and supervised the work.
Jazyk: angličtina
Zdroj: ERJ open research [ERJ Open Res] 2024 Jul 01; Vol. 10 (4). Date of Electronic Publication: 2024 Jul 01 (Print Publication: 2024).
DOI: 10.1183/23120541.00972-2023
Abstrakt: Background: Few studies have compared the associations between long-term exposures to particulate matters (aerodynamic diameter ≤1, ≤2.5 and ≤10 µm: PM 1 , PM 2.5 and PM 10 , respectively) and asthma and asthma-related respiratory symptoms. The objective of the present study was to compare the strength of the aforementioned associations in middle-aged and elderly adults.
Methods: We calculated the mean 722-day personal exposure estimates of PM 1 , PM 2.5 and PM 10 at 1 km×1 km spatial resolution between 2013 and 2019 at individual levels from China High Air Pollutants (CHAP) datasets. Using logistic regression models, we presented the associations as odds ratios and 95% confidence intervals, for each interquartile range (IQR) increase in PM 1 /PM 2.5 /PM 10 concentration. Asthma denoted a self-reported history of physician-diagnosed asthma or wheezing in the preceding 12 months.
Results: We included 7371 participants in COPD surveillance from Guangdong, China. Each IQR increase in PM 1 , PM 2.5 and PM 10 was associated with a greater odds (OR (95% CI)) of asthma (PM 1 : 1.22 (1.02-1.45); PM 2.5 : 1.24 (1.04-1.48); PM 10 : 1.30 (1.07-1.57)), wheeze (PM 1 : 1.27 (1.11-1.44); PM 2.5 : 1.30 (1.14-1.48); PM 10 : 1.34 (1.17-1.55)), persistent cough (PM 1 : 1.33 (1.06-1.66); PM 2.5 : 1.36 (1.09-1.71); PM 10 : 1.31 (1.02-1.68)) and dyspnoea (PM 1 : 2.10 (1.84-2.41); PM 2.5 : 2.17 (1.90-2.48); PM 10 : 2.29 (1.96-2.66)). Sensitivity analysis results were robust after excluding individuals with a family history of allergy. Associations of PM 1 , PM 2.5 and PM 10 with asthma and asthma-related respiratory symptoms were slightly stronger in males.
Conclusion: Long-term exposure to PM is associated with increased risks of asthma and asthma-related respiratory symptoms.
Competing Interests: Conflict of interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Wei-jie Guan is an Associate Editor of ERJ Open Research.
(Copyright ©The authors 2024.)
Databáze: MEDLINE