4.7 Article

Combined health effects of PM2.5 components on respiratory mortality in short-term exposure using BKMR: A case study in Sichuan, China

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 897, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2023.165365

Keywords

PM2; 5 components; Respiratory mortality; Bayesian kernel machine regression (BKMR); Quantile-based g-computation (QGC); Sichuan

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Respiratory diseases are a major cause of global mortality. Short-term exposure to fine particulate matter (PM2.5) increases the risk of respiratory death. This study examined the combined health effects of PM2.5 components in different regions of Sichuan, China, and identified the main hazardous components. BC and OM, mainly from traffic, were found to have the greatest adverse health effects on respiratory mortality, while NO3- might exacerbate the effects of BC/OM. It is important for vulnerable individuals to limit outdoor activities on heavily polluted days, especially during the cold season.
One of the major causes of global mortality is respiratory diseases. Fine particulate matter (PM2.5) increased the risk of respiratory death in short-term exposure. PM2.5 is the chemical mixture of components with different health effects. The combined health effects of PM2.5 are determined by the role of each component and the potential interaction be-tween components, but they have not been studied in short-term exposure. Sichuan Province (SC), with high respira-tory mortality and heavy PM2.5 pollution, had distinctive regional differences in four regions in sources and proportions of PM2.5, so it was divided into four regions to explore the combined health effects of PM2.5 components on respiratory mortality in short-term exposure and to identify the main hazardous components. Due to the multicollinear, interactive, and nonlinear characteristics of the associations between PM2.5 components and respira-tory mortality, Bayesian kernel machine regression (BKMR) was used to characterize the combined health effects, along with quantile-based g-computation (QGC) as a reference. Positive combined effects of PM2.5 were found in all four regions of Sichuan using BKMR with excess risks (ER) of 0.0101-0.0132 (95 % CI: 0.0093-0.0158) and in the cen-tral basin and northwest basin using QGC with relative risks (RR) of 1.0064 (95 % CI: 1.0039, 1.0089) and 1.0044 (95 % CI: 1.0022, 1.0066), respectively. In addition, the adverse health effect was larger in cold seasons than that in warm seasons, so vulnerable people should reduce outdoor activities in heavily polluted days, especially in the cold season. For the components of PM2.5, the BC and OM mainly from traffic, dominated the adverse health effects on re-spiratory mortality. Furthermore, NO3- might aggravate the adverse health effects of BC/OM. Therefore, BC/OM and NO3- should be focused together in air pollution control.

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