Time-series analysis of the relationship between air quality, temperature, and sudden unexplained death in Beijing during 2005-2008

被引:3
作者
Tian Zhao-xing [1 ]
Zhang Yan-shen [4 ]
Yan Wei [2 ]
Zhao Wen-kui [3 ]
机构
[1] Peking Univ, Hosp 3, Dept Emergency Med, Beijing 100191, Peoples R China
[2] Peking Univ, Hosp 3, Dept Resp Med, Beijing 100191, Peoples R China
[3] Peking Univ, Hosp 3, Dept Educ, Beijing 100191, Peoples R China
[4] Chinese Acad Environm Planning, Ctr Environm Risk & Damage Assessment, Beijing 100012, Peoples R China
基金
中国国家自然科学基金;
关键词
air quality; temperature; sudden unexplained death; time-series analysis; CORONARY-HEART-DISEASE; NEW-YORK-CITY; CARDIAC DEATH; UNEXPECTED DEATH; AUTOPSY;
D O I
10.3760/cma.j.issn.0366-6999.2012.24.019
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
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 mu m (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 degrees C 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. Chin Med J 2012;125(24):4429-4433
引用
收藏
页码:4429 / 4433
页数:5
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