Profiles and Predictors of Environmental Chemical Mixture Exposure among Pregnant Women: The Health Outcomes and Measures of the Environment Study.

Profiles and Predictors of Environmental Chemical Mixture Exposure among Pregnant Women: The Health Outcomes and Measures of the Environment Study.
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DOI:
10.1021/acs.est.8b02946
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发表时间:
2018-09-04
影响因子:
11.4
通讯作者:
Braun, Joseph M.
Braun, Joseph M.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Kalloo, Geetika;Wellenius, Gregory A.;McCandless, Lawrence;Calafat, Antonia M.;Sjodin, Andreas;Karagas, Margaret;Chen, Aimin;Yolton, Kimberly;Lanphear, Bruce P.;Braun, Joseph M.

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孕妇暴露于许多环境化学品,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/有机氯农药、多氯联苯、多溴二苯醚、全氟烷基物质和环境烟草烟雾的暴露。使用成对相关性,k-均值聚类和主成分分析(PCA),我们确定了几个配置文件的化学品暴露。在结构上、商业上或工业上相关的化学类别内的化学品(例如,邻苯二甲酸酯)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)。使用k-均值聚类和PCA,我们确定了3个集群的妇女(N = 106,158,和125)和6 PC分数,分别为特征的累积化学品暴露概况。前两个PC分数显着不同的集群,表明这些配置文件中的一些可以使用这两种方法来确定。聚类成员资格和PCA得分与种族,婚姻状况,新鲜水果和蔬菜的消费量和奇偶性有关。今后的工作可以使用聚类和PCA得分来描述其他孕妇群体接触环境化学品混合物的特征,并预测接触环境化学品混合物对健康的潜在影响。
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.
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