Warren Joshua L, Luben Thomas J, Sanders Alison P, Brownstein Naomi C, Herring Amy H, Meyer Robert E
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
National Center for Environmental Assessment, United States Environmental Protection Agency, Research Triangle Park, North Carolina, USA.
J Expo Sci Environ Epidemiol. 2014 Sep-Oct;24(5):497-503. doi: 10.1038/jes.2013.75. Epub 2013 Oct 23.
We evaluate the use of three different exposure metrics to estimate maternal agricultural pesticide exposure during pregnancy. Using a geographic information system-based method of pesticide exposure estimation, we combine data on crop density and specific pesticide application amounts/dates to create the three exposure metrics. For illustration purposes, we create each metric for a North Carolina cohort of pregnant women, 2003-2005, and analyze the risk of congenital anomaly development with a focus on metric comparisons. Based on the results, and the need to balance data collection efforts/computational efficiency with accuracy, the metric which estimates total chemical exposure using application dates based on crop-specific earliest planting and latest harvesting information is preferred. Benefits and drawbacks of each metric are discussed and recommendations for extending the analysis to other states are provided.
我们评估了三种不同的暴露指标,以估计孕期母亲的农业农药暴露情况。利用基于地理信息系统的农药暴露估计方法,我们结合作物密度数据和特定农药施用量/施用日期,创建了这三种暴露指标。为便于说明,我们为2003 - 2005年北卡罗来纳州的一组孕妇创建了每个指标,并着重通过指标比较分析先天性异常发育的风险。基于研究结果,以及在数据收集工作/计算效率与准确性之间取得平衡的需要,使用基于特定作物最早种植和最晚收获信息的施用日期来估计总化学暴露的指标是首选。我们讨论了每个指标的优缺点,并提供了将分析扩展到其他州的建议。