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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Yi Liu & Jingjie Sun & Yannong Gou & Xiubin Sun & Dandan Zhang & Fuzhong Xue, 2020. "Analysis of Short-Term Effects of Air Pollution on Cardiovascular Disease Using Bayesian Spatio-Temporal Models," IJERPH, MDPI, vol. 17(3), pages 1-12, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:879-:d:314700
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    References listed on IDEAS

    as
    1. Yi Liu & Jingjie Sun & Yannong Gou & Xiubin Sun & Xiujun Li & Zhongshang Yuan & Lizhi Kong & Fuzhong Xue, 2018. "A Multicity Analysis of the Short-Term Effects of Air Pollution on the Chronic Obstructive Pulmonary Disease Hospital Admissions in Shandong, China," IJERPH, MDPI, vol. 15(4), pages 1-15, April.
    2. Ru-Jin Huang & Yanlin Zhang & Carlo Bozzetti & Kin-Fai Ho & Jun-Ji Cao & Yongming Han & Kaspar R. Daellenbach & Jay G. Slowik & Stephen M. Platt & Francesco Canonaco & Peter Zotter & Robert Wolf & Sim, 2014. "High secondary aerosol contribution to particulate pollution during haze events in China," Nature, Nature, vol. 514(7521), pages 218-222, October.
    3. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    4. Duncan Lee & Gavin Shaddick, 2010. "Spatial Modeling of Air Pollution in Studies of Its Short-Term Health Effects," Biometrics, The International Biometric Society, vol. 66(4), pages 1238-1246, December.
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