Estimation of personal NO2 exposure in a cohort of pregnant women
Estimation of personal NO2 exposure in a cohort of pregnant women
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DOI：
10.1016/j.scitotenv.2009.08.006
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发表时间：
2009-11-15
影响因子：
9.8
通讯作者：
Esplugues, Ana
中科院分区：
文献类型：
--
作者：
Iniguez, Carmen;Ballester, Ferran;Esplugues, Ana
人们越来越关注怀孕期间接触空气污染可能对健康产生的不利影响。因此，INMA（环境与儿童）研究的一个重点是估计个人暴露于交通相关的空气污染。来自瓦伦西亚的队列（n = 855）。在分布于研究区域的93个采样点进行了环境二氧化氮水平的测量，每个采样期为7天。采用多元回归模型绘制了该地区的环境NO2分布图。利用“放一个出来”程序获得的克里格地理数据和预测a:；预测因子。个人暴露量为：1)家庭住址的环境二氧化氮估计值；2)家庭住址和工作地点的环境二氧化氮估计值的平均值，按在每种环境中度过的时间加权。我们根据区域空气污染监测网络每日登记的二氧化氮水平临时作出估计。整个妊娠期和每个妊娠期作为暴露窗口。采样期间NO2平均水平的模型解释了81%的NO2水平变化。对于超过90%的参与者，两种个人暴露分配模型之间的相对百分比差异小于9%；然而，其余的人表现出明显的差异。在第二个模型中，个人暴露估计略高。在这两种情况下，整个怀孕期间的暴露与妊娠中期的暴露密切相关。考虑到短于整个怀孕期的时间将为我们提供机会来确定特定的易感性窗口。(C) 2009 Elsevier B.V.版权所有
There is a growing concern about the possible adverse effects of exposure to air pollution on health during pregnancy. Therefore, a priority of the INMA (environment and childhood) study was to estimate personal exposure to traffic-related air pollution. In the cohort from Valencia (n = 855). ambient levels of NO2 were measured at 93 sampling sites spread over the study area during four different sampling periods of 7 days each. Multiple regression models were used to map ambient NO2 over the area. Geographical data and predictions from kriging obtained by the "let one out" procedure were used a:; predictors. Individual exposure was assigned as 1) the estimated ambient NO2 level at the home address and 2) the average of estimated ambient NO2 levels at home and work addresses, weighted by the time spent in each environment. Estimations were temporally customised using the NO2 levels registered daily by the regional Air Pollution Monitoring Network. The entire pregnancy and each trimester were taken as exposure windows. The model for the mean levels of NO2 during the sampling periods explained 81% of the variation in NO2 levels. Relative percent differences between the two models of personal exposure assignment were less than 9% for more than 90% of the participants; however the rest of them showed marked differences. Personal exposure estimates were slightly higher in the second model. In both cases, exposure during the whole pregnancy was strongly correlated with exposure in the second trimester. Considering periods shorter than the entire pregnancy will provide us the opportunity to identify specific windows of susceptibility. (C) 2009 Elsevier B.V. All rights reserved.