Barregard Lars, Holmberg Erik, Sallsten Gerd
Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital and Academy, University of Gothenburg, PO Box 414, SE-405 30 Gothenburg, Sweden.
Environ Res. 2009 Nov;109(8):985-90. doi: 10.1016/j.envres.2009.09.001. Epub 2009 Sep 24.
To assess the incidence of leukaemia in an area downwind of a large oil refinery emitting carcinogenic volatile organic compounds (VOCs) including benzene.
Using a dispersion model and the prevailing wind direction, two parishes with about 5000 inhabitants were a priori considered to be exposed to VOCs from the refinery. Numbers of observed and expected leukaemia cases in 1975-2004 were calculated using regional sex- and age-specific incidence rates. In addition, five nearby parishes (12000 inhabitants), considered unaffected by the emissions, served as a local reference area. Based on emission data, dispersion modelling and VOC measurements, the refinery's contribution to the population's exposure to carcinogenic VOCs was estimated. Published "unit risks" for carcinogenic VOCs were used to estimate the expected excess leukaemia risk.
The incidence of leukaemia in the "exposed parishes" was significantly increased in 1975-2004 (33 cases v. 22 expected cases), owing to an increase in the last 10-year period, from 1995 to 2004 (19 cases v. 8.5 expected cases). The leukaemia incidence in the local control area was normal (50 cases v. 56 expected cases). The estimated contribution from the refinery to VOC concentrations was, however, only about 2 microg/m(3) (yearly average) for benzene, 2 microg/m(3) for ethylene, 0.5 microg/m(3) for 1,3-butadiene and 5 microg/m(3) for propene. Calculations of expected excess risk using published risk estimates would indicate a much lower excess risk in the exposed parishes.
Using risk estimates extrapolated from high-level exposure, we would not expect an increase of leukaemia at low exposure to VOC emissions. Nevertheless, the clear elevation of leukaemia in the priori selected, exposed parishes was remarkable. Our finding may reflect a causal association due to emissions, but it could also be due to unknown confounding, or chance.
评估在一个大型炼油厂下风向区域(该炼油厂排放包括苯在内的致癌挥发性有机化合物(VOCs))白血病的发病率。
利用扩散模型和盛行风向,事先认定两个约有5000名居民的教区暴露于来自炼油厂的VOCs中。使用区域性别和年龄特异性发病率计算1975 - 2004年观察到的和预期的白血病病例数。此外,五个附近未受排放影响、约有12000名居民的教区作为本地对照区域。基于排放数据、扩散模型和VOC测量,估算炼油厂对人群暴露于致癌VOCs的贡献。使用已发表的致癌VOCs“单位风险”来估算预期的额外白血病风险。
“暴露教区”的白血病发病率在1975 - 2004年显著增加(33例对22例预期病例),这是由于在最后一个十年期(1995年至2004年)有所上升(19例对8.5例预期病例)。本地对照区域的白血病发病率正常(50例对56例预期病例)。然而,炼油厂对VOC浓度的估计贡献,苯仅约为2微克/立方米(年平均值),乙烯为2微克/立方米,1,3 - 丁二烯为0.5微克/立方米,丙烯为5微克/立方米。使用已发表的风险估计值计算预期的额外风险表明,暴露教区的额外风险要低得多。
使用从高暴露水平外推的风险估计值,我们预计在低暴露于VOC排放时白血病不会增加。尽管如此,在事先选定的暴露教区中白血病明显升高是值得注意的。我们的发现可能反映了排放导致的因果关联,但也可能是由于未知的混杂因素或偶然性。