Time-series analysis of the relationship between air quality, temperature, and sudden unexplained death in Beijing during 2005-2008
Time-series analysis of the relationship between air quality, temperature, and sudden unexplained death in Beijing during 2005-2008作者机构：Department of Emergency Medicine Peking University Third Hospital Beijing 100191 China Center for Environmental Risk and Damage Assessment Chinese Academy of Environmental Planning Beijing 100012 China Department of Respiratory Medicine Peking University Third Hospital Beijing 100191 China Department of Education Peking University Third Hospital Beijing 100191 China
出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)
年 卷 期：2012年第125卷第24期
页 面：4429-4433页
核心收录：
学科分类：1004[医学-公共卫生与预防医学(可授医学、理学学位)] 1002[医学-临床医学] 100401[医学-流行病与卫生统计学] 10[医学]
主 题：air quality temperature sudden unexplained death time-series analysis
摘 要：Background There is a yearly increase in the rate of sudden unexplained death （SUD）, even through extensive physical examination and the testing of a large number of biomarkers, the cause of sudden death in patients previously in good health cannot be fully determined. During clinical practice, a spatial aggregation phenomenon has been observed in the incidence of sudden unexplained death. Previous research has shown that environmental factors, such as air pollution, weather conditions, etc., have a significant impact on human health. In the wake of the continuous environmental damage, the relationship between environmental factors and sudden unexplained death still needs to be studied. To study the relationship between sudden unexplained death and air quality and temperature, commonly used markers such as particulate matter of aerodynamic diameter 〈10 μm （PM10）, daily average concentration of the gaseous pollutants sulfur dioxide （SO2） and nitrogen dioxide （NO2）, and the daily average temperature were investigated. Methods The methods include collecting the data of sudden unexplained death; air quality monitoring; meteorological monitoring from January 1, 2005 to December 31, 2008; utilizing generalized additive models （GAM）; controlling the influential factors such as secular trend, seasonal trend, and Sunday dummy variable; and analyzing the correlation between daily inhalable particle concentration, daily average temperature, and the number of daily SUD. Results There was no statistical significance between the daily inhalable particle and daily incidence of sudden unexplained death. Incidence rate of sudden unexplained death had nonlinear positive correlation with daily temperature. When the temperature was 5℃ above the daily average temperature, the daily incidence of sudden unexplained death went up with the rising temperature. Conclusion Temperature may be one of the key risk factor or precipitating factor of SUD.
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