Impacts of geocoding uncertainty on reconstructed PFOA exposures and their epidemiological association with preeclampsia.

Impacts of geocoding uncertainty on reconstructed PFOA exposures and their epidemiological association with preeclampsia.
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DOI:
10.1016/j.envres.2016.08.019
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发表时间:
2016-11
影响因子:
8.3
通讯作者:
Bartell SM
Bartell SM
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Avanasi R;Shin HM;Vieira VM;Bartell SM

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许多流行病学研究调查了接触全氟辛酸(PFOA)与C8健康项目参与者各种不良健康结果之间的关系。这些研究中使用的暴露浓度(即空气和地下水)主要是根据参与者的居住地点确定的。然而,对于不能按街道级别进行地理编码的居住地址,暴露浓度是根据人口加权邮政编码质心分配的,这可能导致暴露特征的错误描述。本研究的目的是评估地理编码不确定性导致的暴露浓度错误对预测血清PFOA浓度的潜在影响,以及PFOA暴露与先兆子痫之间的流行病学关联。对于工作场所地址和不完全地理编码的居住地址,我们使用蒙特卡罗(MC)模拟在报告的邮政编码(而不是人口加权的邮政编码质心)和相应的暴露浓度内分配备用地理位置。我们发现,由于人口加权的邮政编码质心分配而导致的居住暴露的错误表征对血清PFOA浓度预测和PFOA暴露与子痫前期的流行病学关联没有显著影响。工作场所暴露的不确定性对被试等级暴露的影响较小。我们观察到,由于怀孕期间工作地点地理编码不同的病例(64.3%)和对照组(54.5%)比例不同,子痫前期发生的平均调整优势比增加了41%。这一发现表明,通过获得准确的暴露信息,如工作场所和住宅的街道地址和自来水消费量,可以减少不同暴露的错误描述。我们提出的分析是一种估计基于地理编码的暴露评估中位置误差对暴露估计和流行病学研究结果的潜在影响的方法。
Many epidemiology studies have investigated associations of perfluorooctanoate (PFOA) exposures with a variety of adverse health outcomes for participants in the C8 Health Project. The exposure concentrations (i.e., air and groundwater) used in these studies were determined primarily based on participant’s residential locations. However, for residential addresses that could not be geocoded to the street level, the exposure concentrations were assigned based on population-weighted ZIP code centroid, which may result in exposure mischaracterization. The aim of this current study is to evaluate the potential impact of mischaracterized exposure concentrations due to geocoding uncertainty on the predicted serum PFOA concentrations and the epidemiological association between PFOA exposure and preeclampsia. For both workplace addresses and incompletely geocoded residential addresses, we used Monte Carlo (MC) simulation to assign alternate geographic locations within the reported ZIP code (instead of population-weighted ZIP code centroids) and the corresponding exposure concentrations. We found that mischaracterization of residential exposure due to population-weighted ZIP code centroid assignment had no significant impact on the serum PFOA concentration predictions and the epidemiological association of PFOA exposure with preeclampsia. In contrast, the uncertainty in workplace exposure moderately impacted the rank exposure among the participants. We observed a 41% increase in the average adjusted odds ratio of preeclampsia occurrence that may be due to differing proportions of cases (64.3%) and controls (54.5%) with workplace address geocodes during pregnancy. This finding suggests that differential exposure mischaracterization can be reduced by obtaining accurate exposure information such as street addresses and tap water consumption, for both workplaces and residences. The analysis we present is one approach for estimating the potential impacts of positional errors in a geocoding-based exposure assessment on exposure estimates and epidemiological study results.
DOI: 10.1016/j.envres.2016.01.011
发表时间: 2016-04
影响因子: 8.3
作者:
Avanasi R;Shin HM;Vieira VM;Bartell SM
通讯作者: Bartell SM
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影响因子: 10.4
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