Yang Hsuan-Chia, Chang Shu-Hao, Lu Richard, Liou Der-Ming
Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taiwan.
Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
Comput Methods Programs Biomed. 2016 Dec;137:261-268. doi: 10.1016/j.cmpb.2016.08.014. Epub 2016 Aug 24.
Although the overall effect of particulate matter (PM) on cardiovascular disease (CVD) has been previously documented, the effect of different PM sizes (PM, PM and PM) has not been well studied. This study estimates the effect of different PM sizes on the incidence of CVD in Taipei, Taiwan.
We collected outpatients with CVD from 2006 to 2010 and data on the concentrations of air pollutants such as PM, PM, PM, 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.
In high air pollution events, PM 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. PM and PM did not show a significant positive association with CVD in this study. After adjusting for other air pollutants such as SO, CO, NO, and O, the estimated effect of PM only decreased 0.2%. Moreover, patients under 40 years old did not show a significant association between PM and CVD.
This study demonstrates that only PM is significantly positively correlated with the number of daily outpatient visits for CVD during high air pollution events.
