LUNG-CANCER MORTALITY AND POLYNUCLEAR AROMATIC-HYDROCARBONS - A CASE-COHORT STUDY OF ALUMINUM PRODUCTION WORKERS IN ARVIDA, QUEBEC, CANADA
LUNG-CANCER MORTALITY AND POLYNUCLEAR AROMATIC-HYDROCARBONS - A CASE-COHORT STUDY OF ALUMINUM PRODUCTION WORKERS IN ARVIDA, QUEBEC, CANADA
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DOI：
10.1093/oxfordjournals.aje.a116992
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发表时间：
1994-02-01
影响因子：
5
通讯作者：
THERIAULT, G
中科院分区：
文献类型：
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作者：
ARMSTRONG, B;TREMBLAY, C;THERIAULT, G
作者报告了1950年至1988年期间338例肺癌死亡病例的病例队列研究结果，以及1950年至1979年期间在一家大型铝生产厂从事手工工作至少一年的16,297名男性的随机样本（亚队列）1138人的结果。过去，某些工人暴露在大量煤焦油沥青挥发物中，这是一种已知含有多环芳烃的混合物，因此被怀疑能够导致肺癌。在他们控制了吸烟的影响后，作者发现，随着煤沥青挥发物（作为苯溶物质测量）的累积暴露，比率上升到2.25(95%置信区间（Cl） 1.50-3.38)，在10-19毫克/立方米(3)年苯溶物质时，但在更高的暴露下没有进一步上升。与苯溶物的比值（RR) = 1 +/- 0.031 mg/m(3)-年）符合线性关系。该模型预测，在目前的卫生标准（0.2 mg/m(3)）暴露40年后，比率为1.25，终身超额风险为2.2%。曲线关系(RR = 1 + 0.098 mg/m（3)-年苯溶物（0.7））较好地拟合。在该模型下，暴露后的预测风险更高：1.42和3.8%。该数据与吸烟和煤焦油沥青挥发物综合影响的加性和乘性模型兼容。
The authors report the results of a case-cohort study of 338 lung cancer deaths in 1950-1988 and a random sample (sub-cohort) of 1,138 from among 16,297 men who had worked at least one year between 1950 and 1979 in manual jobs at a large aluminum production plant. In the past, certain workers were exposed to substantial quantities of coal tar pitch volatiles, a mixture known to include polynuclear (polycyclic) aromatic hydrocarbons, and thus suspected to be capable of causing lung cancer. After they controlled for the effects of smoking, the authors found that rate ratios rose with cumulative exposure to coal tar pitch volatiles measured as benzene-soluble material to 2.25 (95% confidence interval (Cl) 1.50-3.38) at 10-19 mg/m(3)-eears benzene-soluble matter, but did not rise further at higher exposures. The data are compatible with a linear relation with benzene-soluble matter (rate ratio (RR) = 1 +/- 0.031 mg/m(3)-years benzene-soluble matter). This model predicts a rate ratio of 1.25, and lifelong excess risk of 2.2%, after 40 years exposure at the current hygiene standard (0.2 mg/m(3)). A curved relation (RR = 1 + 0.098 mg/m(3)-years benzene-soluble matter (0.7)) fitted somewhat better. Under this model, the predicted risks after this exposure are higher: 1.42 and 3.8%. The data are compatible with both additive and multiplicative models for the combined effect of smoking and coal tar pitch volatiles.