Hsuan-Chia Yang1, Shu-Hao Chang2, Richard Lu3, Der-Ming Liou4. 1. Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taiwan. 2. Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan. 3. International Center for Health Information Technology (ICHIT), Taipei Medical University, Taiwan; Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan. 4. Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan; Kaohsiung Medical University Chung-Ho Memorial Hospital, Kaohsiung, Taiwan. Electronic address: dmliou@ym.edu.tw.
Abstract
BACKGROUND: Although the overall effect of particulate matter (PM) on cardiovascular disease (CVD) has been previously documented, the effect of different PM sizes (PM10, PM2.5-10 and PM2.5) has not been well studied. This study estimates the effect of different PM sizes on the incidence of CVD in Taipei, Taiwan. METHODS: We collected outpatients with CVD from 2006 to 2010 and data on the concentrations of air pollutants such as PM10, PM2.5-10, PM2.5, sulfur dioxide, carbon monoxide, nitrogen dioxide, and ozone. A Distributed Lag Non-linear Model (DLNM) was used to explore the effect of different PM sizes on CVD risk. RESULTS: In high air pollution events, PM2.5 was significantly associated with elevated risk (4.9%) [95% confidence interval (CI): 1.010-1.089] for CVD with increasing interquartile range (IQR) in single air pollutant model. PM2.5-10 and PM10 did not show a significant positive association with CVD in this study. After adjusting for other air pollutants such as SO2, CO, NO2, and O3, the estimated effect of PM2.5 only decreased 0.2%. Moreover, patients under 40 years old did not show a significant association between PM2.5 and CVD. CONCLUSION: This study demonstrates that only PM2.5 is significantly positively correlated with the number of daily outpatient visits for CVD during high air pollution events.
BACKGROUND: Although the overall effect of particulate matter (PM) on cardiovascular disease (CVD) has been previously documented, the effect of different PM sizes (PM10, PM2.5-10 and PM2.5) has not been well studied. This study estimates the effect of different PM sizes on the incidence of CVD in Taipei, Taiwan. METHODS: We collected outpatients with CVD from 2006 to 2010 and data on the concentrations of air pollutants such as PM10, PM2.5-10, PM2.5, sulfur dioxide, carbon monoxide, nitrogen dioxide, and ozone. A Distributed Lag Non-linear Model (DLNM) was used to explore the effect of different PM sizes on CVD risk. RESULTS: In high air pollution events, PM2.5 was significantly associated with elevated risk (4.9%) [95% confidence interval (CI): 1.010-1.089] for CVD with increasing interquartile range (IQR) in single air pollutant model. PM2.5-10 and PM10 did not show a significant positive association with CVD in this study. After adjusting for other air pollutants such as SO2, CO, NO2, and O3, the estimated effect of PM2.5 only decreased 0.2%. Moreover, patients under 40 years old did not show a significant association between PM2.5 and CVD. CONCLUSION: This study demonstrates that only PM2.5 is significantly positively correlated with the number of daily outpatient visits for CVD during high air pollution events.
Authors: Seulkee Heo; Ji-Young Son; Chris C Lim; Kelvin C Fong; Hayon Michelle Choi; Raul U Hernandez-Ramirez; Kate Nyhan; Preet K Dhillon; Suhela Kapoor; Dorairaj Prabhakaran; Donna Spiegelman; Michelle L Bell Journal: Environ Res Lett Date: 2022-05-16 Impact factor: 6.947