Analysis of Short-Term Effects of Air Pollution on Cardiovascular Disease Using Bayesian Spatio-Temporal Models

Yi Liu, Jingjie Sun, Yannong Gou, Xiubin Sun, Dandan Zhang and Fuzhong Xue
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Yi Liu: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, 44, Wenhuaxi Street, Jinan 250012, China
Jingjie Sun: Health and Family Planning Information Center of Shandong Province, 75, Yuhan Street, Jinan 250014, China
Yannong Gou: Health and Family Planning Information Center of Shandong Province, 75, Yuhan Street, Jinan 250014, China
Xiubin Sun: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, 44, Wenhuaxi Street, Jinan 250012, China
Dandan Zhang: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, 44, Wenhuaxi Street, Jinan 250012, China
Fuzhong Xue: Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, 44, Wenhuaxi Street, Jinan 250012, China

IJERPH, 2020, vol. 17, issue 3, 1-12

Abstract: There has been an increasing number of clinical and epidemiologic research projects providing supporting evidence that short-term exposure to ambient air pollution contributes to the exacerbation of cardiovascular disease. However, few studies consider measurement error and spatial effects in the estimate of underlying air pollution levels, and less is known about the influence of baseline air pollution levels on cardiovascular disease. We used hospital admissions data for cardiovascular diseases (CVD) collected from an inland, heavily polluted city and a coastal city in Shandong Province, China. Bayesian spatio-temporal models were applied to obtain the underlying pollution level in each city, then generalized additive models were adopted to assess the health effects. The total cardiovascular disease hospitalizations were significantly increased in the inland city by 0.401% (0.029, 0.775), 0.316% (0.086, 0.547), 0.903% (0.252, 1.559), and 2.647% (1.607, 3.697) per 10 μg/m 3 increase in PM 2.5 , PM 10 , SO 2 , and NO 2, respectively. The total cardiovascular diseases hospitalizations were increased by 6.568% (3.636, 9.584) per 10μg/m 3 increase in the level of NO 2 . Although the air pollution overall had a more significant adverse impact on cardiovascular disease hospital admissions in the heavily polluted inland city, the short-term increases in air pollution levels in the less polluted coastal areas led to excessive exacerbations of cardiovascular disease.

Keywords: Bayesian statistics; spatio-temporal models; air pollution; cardiovascular disease; China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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