Effects of Extreme Temperatures on Cause-Specific Cardiovascular Mortality in China

Xuying Wang, Guoxing Li, Liqun Liu, Dane Westerdahl, Xiaobin Jin and Xiaochuan Pan
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Xuying Wang: Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China
Guoxing Li: Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China
Liqun Liu: Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China
Dane Westerdahl: Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14850, USA
Xiaobin Jin: Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China
Xiaochuan Pan: Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing 100191, China

IJERPH, 2015, vol. 12, issue 12, 1-21

Abstract: Objective : Limited evidence is available for the effects of extreme temperatures on cause-specific cardiovascular mortality in China. Methods : We collected data from Beijing and Shanghai, China, during 2007–2009, including the daily mortality of cardiovascular disease, cerebrovascular disease, ischemic heart disease and hypertensive disease, as well as air pollution concentrations and weather conditions. We used Poisson regression with a distributed lag non-linear model to examine the effects of extremely high and low ambient temperatures on cause-specific cardiovascular mortality. Results : For all cause-specific cardiovascular mortality, Beijing had stronger cold and hot effects than those in Shanghai. The cold effects on cause-specific cardiovascular mortality reached the strongest at lag 0–27, while the hot effects reached the strongest at lag 0–14. The effects of extremely low and high temperatures differed by mortality types in the two cities. Hypertensive disease in Beijing was particularly susceptible to both extremely high and low temperatures; while for Shanghai, people with ischemic heart disease showed the greatest relative risk (RRs = 1.16, 95% CI: 1.03, 1.34) to extremely low temperature. Conclusion : People with hypertensive disease were particularly susceptible to extremely low and high temperatures in Beijing. People with ischemic heart disease in Shanghai showed greater susceptibility to extremely cold days.

Keywords: extreme temperatures; cardiovascular disease; cerebrovascular disease; ischemic heart disease; hypertensive disease; distributed lag non-linear model; susceptibility (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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