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Profiles and Predictors of Environmental Chemical Mixture Exposure among Pregnant Women: The Health Outcomes and Measures of the Environment Study
Environmental Science & Technology ( IF 11.4 ) Pub Date : 2018-08-21 , DOI: 10.1021/acs.est.8b02946
Geetika Kalloo 1 , Gregory A Wellenius 1 , Lawrence McCandless 2 , Antonia M Calafat 3 , Andreas Sjodin 3 , Margaret Karagas 4 , Aimin Chen 5 , Kimberly Yolton 6 , Bruce P Lanphear 2, 7 , Joseph M Braun 1
Affiliation  

Pregnant women are exposed to numerous environmental chemicals, but there is limited understanding of chemical mixture exposure profiles and predictors. In a prospective cohort of 389 pregnant women from Cincinnati, OH, we used biomarkers to estimate exposure to 41 phenols, phthalates, metals, organophosphate/pyrethroid/organochlorine pesticides, polychlorinated biphenyls, polybrominated diphenyl ethers, perfluoroalkyl substances, and environmental tobacco smoke. Using pairwise correlations, k-means clustering, and principal component analysis (PCA), we identified several profiles of chemical exposure. Chemicals within structurally, commercially, or industrially related chemical classes (e.g., phthalates) were moderate to strongly correlated compared to unrelated chemicals (e.g., pyrethroid pesticides and environmental tobacco smoke). Using k-means clustering and PCA, we identified 3 clusters of women (N = 106, 158, and 125) and 6 PC scores, respectively, that characterized profiles of cumulative chemical exposure. The first two PC scores significantly varied by cluster, indicating that some of these profiles could be identified using both methods. Cluster membership and PCA scores were associated with race, marital status, consumption of fresh fruits and vegetables, and parity. Future work could use clusters and PCA scores to characterize environmental chemical mixture exposures in other cohorts of pregnant women and predict potential health effects of environmental chemical mixture exposure.

中文翻译:

孕妇环境化学混合物暴露的概况和预测因素:环境研究的健康结果和措施

孕妇暴露于多种环境化学物质,但对化学混合物暴露概况和预测因素的了解有限。在来自俄亥俄州辛辛那提的 389 名孕妇的前瞻性队列中,我们使用生物标志物来估计暴露于 41 种酚类、邻苯二甲酸盐、金属、有机磷酸盐/拟除虫菊酯/有机氯杀虫剂、多氯联苯、多溴联苯醚、全氟烷基物质和环境烟草烟雾。使用成对相关性,k-均值聚类和主成分分析 (PCA),我们确定了几种化学品暴露情况。与不相关的化学物质(例如,拟除虫菊酯杀虫剂和环境烟草烟雾)相比,结构、商业或工业相关化学类别(例如邻苯二甲酸盐)中的化学物质具有中等到强烈的相关性。使用k均值聚类和 PCA,我们确定了 3 个女性聚类(N= 106、158 和 125) 和 6 个 PC 分数,分别表示累积化学暴露的特征。前两个 PC 分数因集群而异,表明可以使用这两种方法来识别其中一些配置文件。集群成员和 PCA 分数与种族、婚姻状况、新鲜水果和蔬菜的消费量以及胎次相关。未来的工作可以使用聚类和 PCA 分数来描述其他孕妇队列的环境化学混合物暴露特征,并预测环境化学混合物暴露的潜在健康影响。
更新日期:2018-08-22
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