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Particulate Air Pollution and Preeclampsia: A Source-based Analysis

机译:空气污染与子痫前期:基于源的分析

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Background: particulate matter (PM) air pollution is a heterogeneous mixture of components with different sources and toxicities. A limited body of evidence suggests an association between PM and preeclampsia; however, there is no available report on the possible link between PM sources and preeclampsia. Aims: To investigate the association between preeclampsia and maternal exposure to PM10 and PM2.5 mass and sources. Methods: Our analysis was based on a hospital cohort of pregnant women (N=3,182) residing in Barcelona, Spain, during 2003-2005. Positive matrix factorization source apportionment (PMF2) was used to identify sources of PM10 and PM2.5 samples obtained by an urban background monitor, resulting in detection of eight sources. We further combined traffic-related sources (brake dust, vehicle exhaust, and secondary nitrate/organics) to generate a traffic indicator. Logistic regression models were developed to estimate the association between preeclampsia and exposure to each PM source and mass separately during the entire pregnancy and trimester one, adjusted for relevant covariates. Results: For the exposure during the entire pregnancy, we found 44% and 80% increase in the risk of preeclampsia associated with one inter-quartile range increase in exposure to PM10 brake dust and traffic indicator respectively. These findings remained consistent after an alternative source apportionment method (Multilinear Engine (ME2)) was used that showed a 51% increase in the risk of preeclampsia in association with one interquartile range increase in PM10 road dust exposure during the entire pregnancy. The results for PM2.5 mass and sources and also exposure during trimester one were less conclusive. Conclusion: Risk of preeclampsia was associated with exposure to PM10 brake dust and traffic-related sources.
机译:背景:颗粒物(PM)空气污染是具有不同来源和毒性的成分的异质混合物。有限的证据表明,PM和先兆子痫之间存在关联。然而,目前尚无关于PM来源与先兆子痫之间可能联系的报道。目的:探讨子痫前期与孕妇暴露于PM10和PM2.5的质量和来源之间的关系。方法:我们的分析是基于2003-2005年居住在西班牙巴塞罗那的孕妇队列(N = 3,182)。使用正矩阵分解源分配(PMF2)来识别由城市背景监测仪获得的PM10和PM2.5样品的来源,从而检测到8个来源。我们进一步结合了与交通相关的来源(刹车粉尘,汽车尾气和二次硝酸盐/有机物),以生成交通指标。建立了逻辑回归模型以估计先兆子痫与整个孕期和孕中期分别暴露于各PM源和肿块之间的相关性,并根据相关的协变量进行了调整。结果:对于整个妊娠期间的暴露,我们发现先兆子痫的风险增加,分别与PM10刹车粉尘和交通指标的暴露增加四分之一之间。在使用另一种来源分配方法(Multilinear Engine(ME2))后,这些发现仍保持一致,该方法显示先兆子痫的风险增加了51%,而整个怀孕期间PM10道路粉尘的暴露量增加了四分位数。关于PM2.5的质量和来源以及在孕中期的暴露情况的结果还没有定论。结论:先兆子痫的风险与暴露于PM10刹车粉尘和交通相关源有关。

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