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武汉市空气污染与肺癌潜在减寿年数的关系 被引量:10

The relationship between the potential years of life lost of lung cancer and air pollution in Wuhan
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摘要 目的探索武汉市空气污染与肺癌之间的关系。方法收集武汉市1986-1995年间空气质量监测资料及烟草生产等方面的资料,以及1991-2000年间武汉市肺癌死亡资料,利用简单相关、灰色关联等方法进行统计分析。结果武汉市空气中氮氧化物(NO_X)浓度呈现上升趋势,二氧化硫(SO_2)、NO_X、总悬浮颗粒物(TSP)与男性肺癌潜在减寿年数(PYLL)的关联度分别为0.6702、O.7071、0.6199,与女性肺癌PYLL的关联度分别为0.6188、0.8555、0.5842。NO_X浓度与男、女性肺癌PYLL均呈正相关,相关系数分别为r_男=0.635 23(P=0.0484),r_女=0.763 96(P=0.0101)。结论空气污染是肺癌的重要危险因素,机动车尾气的污染是主要因素之一。 Objective To study the present situations oi lung cancer in Wuhan and to explore the relationship between the potential years of life lost of lung cancer and air pollution, especially vehicle emissions. Methods Data gathered between 1986 and 1995 in Wuhan city, including air pollution and tobacco production and data on lung cancer between 1991 and 2000 were collected extensively. Simple Correlation and Grey Relational Analysis were used to analyze the relationship of them. Results There was a ascending tendency in variance of oxides of nitrogen ( NOx ). The degree of grey incidence (DGI) between the concentration of air pollutants and the male's or female's potential years of life lost of lung cancer (PYLL) were calculated respectively. In males, the values of DGI were 0. 6702,0. 7071,0. 6199 on sulfur dioxide (SO2), NOx, total suspensions (TSP) respectively. In females, the values of DGI were 0. 6188, 0.8555,0.5842 according to the same order as listed above. Significant positive correlation was found between the concentration of NOx and with lung cancer in both males and females by spearman correlation test (rmale=0.63523,P 0.0484; rfemale= 0. 763 96,P-0.0101). Conclusion With the fast growing speed of the quantity of vehicles, pollution of vehicle- emission-caused air pollution posed an important risk factor for lung cancer, despite the fact that tobacco smoking still played the leading role.
出处 《中华流行病学杂志》 CAS CSCD 北大核心 2007年第12期1175-1178,共4页 Chinese Journal of Epidemiology
关键词 肺肿瘤 空气污染 尾气 灰色关联分析 Lung neoplsams Air pollution Vehicle emissions Grey relational analysis
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