Using new satellite based exposure methods to study the association between pregnancy PM₂.₅ exposure, premature birth and birth weight in Massachusetts.
Using new satellite based exposure methods to study the association between pregnancy PM₂.₅ exposure, premature birth and birth weight in Massachusetts.
复制标题
DOI：
10.1186/1476-069x-11-40
复制
发表时间：
2012-06-18
期刊：
影响因子：
--
通讯作者：
Schwartz J
中科院分区：
文献类型：
--
作者：
Kloog I;Melly SJ;Ridgway WL;Coull BA;Schwartz J
不良的出生结果，如出生体重低和早产，以前与暴露于环境空气污染有关。大多数研究依赖于感兴趣区域中数量有限的监测器，这可能会引入暴露误差或将分析限制在居住在监测器附近的人，这会减少样本量和普遍性，并可能产生选择偏倚。我们评估了马萨诸塞州9年（2000-2008年）早产和出生体重与妊娠期暴露于环境颗粒物（PM2.5）水平之间的关系。基于我们开发的一种新方法，以新英格兰地区10 x10 km网格的空间分辨率预测每日PM2.5，我们估计了出生前30天和90天以及每位母亲整个怀孕期间的平均暴露量。我们使用线性和逻辑混合模型来估计PM2.5暴露与出生体重（足月新生儿）和PM2.5暴露与早产之间的关联，调整婴儿性别，母亲年龄，母亲种族，平均收入，母亲教育水平，产前护理，孕龄，母亲吸烟，母亲住所附近的开放空间百分比，平均交通密度和母亲健康。在所有测试期间，出生体重与PM2.5呈负相关。例如，在控制其他因素（包括交通暴露）后，整个怀孕期间PM2.5暴露增加10 μg/m3与出生体重减少13.80 g显著相关[95%置信区间（CI）=-21.10，-6.05]。在整个怀孕期间，PM2.5暴露量每增加10 μg/m3，早产的比值比为1.06（95%置信区间（CI）= 1.01-1.13）。这项研究表明，在怀孕的最后一个月暴露于PM2.5会导致婴儿出生体重较低和早产的风险。
Adverse birth outcomes such as low birth weight and premature birth have been previously linked with exposure to ambient air pollution. Most studies relied on a limited number of monitors in the region of interest, which can introduce exposure error or restrict the analysis to persons living near a monitor, which reduces sample size and generalizability and may create selection bias. We evaluated the relationship between premature birth and birth weight with exposure to ambient particulate matter (PM2.5) levels during pregnancy in Massachusetts for a 9-year period (2000–2008). Building on a novel method we developed for predicting daily PM2.5 at the spatial resolution of a 10x10km grid across New-England, we estimated the average exposure during 30 and 90 days prior to birth as well as the full pregnancy period for each mother. We used linear and logistic mixed models to estimate the association between PM2.5 exposure and birth weight (among full term births) and PM2.5 exposure and preterm birth adjusting for infant sex, maternal age, maternal race, mean income, maternal education level, prenatal care, gestational age, maternal smoking, percent of open space near mothers residence, average traffic density and mothers health. Birth weight was negatively associated with PM2.5 across all tested periods. For example, a 10 μg/m3 increase of PM2.5 exposure during the entire pregnancy was significantly associated with a decrease of 13.80 g [95% confidence interval (CI) = −21.10, -6.05] in birth weight after controlling for other factors, including traffic exposure. The odds ratio for a premature birth was 1.06 (95% confidence interval (CI) = 1.01–1.13) for each 10 μg/m3 increase of PM2.5 exposure during the entire pregnancy period. The presented study suggests that exposure to PM2.5 during the last month of pregnancy contributes to risks for lower birth weight and preterm birth in infants.