Wan Neng, Lin Ge
Department of Geography, University of Utah, Salt Lake City, Utah.
School of Community Health Sciences, University of Nevada - Las Vegas, Las Vegas, Nevada.
J Rural Health. 2016 Jun;32(3):303-13. doi: 10.1111/jrh.12154. Epub 2015 Oct 30.
The association between exposure to agricultural pesticides and Parkinson's Disease (PD) has long been a topic of study in the field of environmental health. This research takes advantage of the unique Nebraska PD registry and state-level crop classification data to investigate the PD-pesticides exposure relationship.
First, Geographic Information System and satellite remote sensing data were adopted to calculate exposure to different pesticides for Nebraska residents. An integrated spatial exploratory framework was then adopted to explore the association between PD incidence and exposure to specific pesticide ingredients at the county level.
Our results reveal similarities in geographic patterns of pesticide exposure and PD incidence. The regression analyses indicate that, for most Nebraska counties, PD incidence was significantly associated with exposure to certain pesticide ingredients such as alachlor and broxomy. However, the results also suggest that factors other than pesticide exposure may help further explain the risk of PD at the county level.
We found significant associations between PD incidence and exposure to different pesticide ingredients. These results have useful implications for PD prevention in Nebraska and other agricultural states in the United States.
长期以来，农业农药暴露与帕金森病（PD）之间的关联一直是环境卫生领域的研究课题。本研究利用内布拉斯加州独特的帕金森病登记册和州级作物分类数据来调查帕金森病与农药暴露之间的关系。
首先，采用地理信息系统和卫星遥感数据计算内布拉斯加州居民接触不同农药的情况。然后采用综合空间探索框架，在县一级探索帕金森病发病率与特定农药成分暴露之间的关联。
我们的结果揭示了农药暴露和帕金森病发病率在地理模式上的相似性。回归分析表明，对于内布拉斯加州的大多数县来说，帕金森病发病率与接触某些农药成分（如甲草胺和溴苯腈）显著相关。然而，结果也表明，除农药暴露外的其他因素可能有助于进一步解释县级帕金森病的风险。
我们发现帕金森病发病率与不同农药成分暴露之间存在显著关联。这些结果对内布拉斯加州和美国其他农业州的帕金森病预防具有有益的启示。
