Predictors of Urinary Pyrethroid and Organophosphate Compound Concentrations among Healthy Pregnant Women in New York.
Predictors of Urinary Pyrethroid and Organophosphate Compound Concentrations among Healthy Pregnant Women in New York.
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DOI：
10.3390/ijerph17176164
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发表时间：
2020-08-25
影响因子：
--
通讯作者：
Whyatt R
中科院分区：
文献类型：
--
作者：
Balalian AA;Liu X;Siegel EL;Herbstman JB;Rauh V;Wapner R;Factor-Litvak P;Whyatt R
我们的研究旨在调查纽约市两组孕妇接触拟除虫菊酯、有机磷杀虫剂和 2,4-D 除草剂的饮食和非饮食预测因素：153 名女性来自甲状腺破坏和婴儿发育 (TDID) 队列，121 名女性来自兄弟姐妹/赫马诺斯队列 (S/H)。预测因素的基线数据是在招募时从女性那里收集的。我们使用三种不同的建模策略来解决由于生物标志物值低于检测限（<LOD）而导致的数据丢失：（1）生物标志物分类为（<中位数，≥中位数）的逻辑回归模型； (2) 线性回归模型，用(LOD/√2)估算<LOD值； (3) 回归模型，将 <LOD 值视为左删失。一般来说，所有三个模型都识别出相似的暴露预测因子。我们发现，种族、较高的收入和教育程度预示着两个队列中大多数生物标志物的浓度较高。 TDID 组中食用加工肉类的母亲，S/H 组中食用烤肉、烧烤食品或汉堡的母亲往往含有较低浓度的有机磷酸盐和 2,4-D。建模的选择导致确定了一些不同的预测变量，建模策略的选择应基于研究问题。
Our study aimed to investigate dietary and non-dietary predictors of exposure to pyrethroids, organophosphates pesticides and 2,4-D herbicide in two cohorts of pregnant women in New York City: 153 women from the Thyroid Disruption and Infant Development (TDID) cohort and 121 from the Sibling/Hermanos Cohort(S/H). Baseline data on predictors were collected from the women at time of recruitment. We used three different modeling strategies to address missing data due to biomarker values below the limit of detection (<LOD): (1) logistic regression models with biomarkers categorized as (<median, ≥median); (2) linear regression models, imputing the <LOD values with (LOD/√2); (3) regression models, considering <LOD values as left-censored. Generally, all three models identified similar predictors of exposure. We found that ethnicity, higher income and education predicted higher concentrations of most of the biomarkers in both cohorts. Mothers who consumed processed meat in the TDID cohort, and broiled, barbequed food or burgers in the S/H cohort, tended to have lower concentrations of organophosphates and 2,4-D. The choice of modeling led to a few different predictors identified, and the selection of modeling strategy should be based on the study question.
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