Dept. of Epidemiology College of Public Health, University of Kentucky, Lexington, Kentucky, USA.
Dept. of Epidemiology College of Public Health, University of Kentucky, Lexington, Kentucky, USA.
Spat Spatiotemporal Epidemiol. 2020 Nov;35:100364. doi: 10.1016/j.sste.2020.100364. Epub 2020 Jul 24.
Population-based ecological and cross-sectional studies have observed high risk for several cancers in areas of Central Appalachia where mountaintop removal coal mines operate. Case-control studies could provide stronger evidence of such relationships, but misclassification of exposure is likely when based on current residence, since individuals could have inhabited several residences with varying environmental exposures over many years. To address this, we used residential histories for individuals enrolled in a previous case-control study of lung cancer to assess residential proximity to mountaintop removal coal mining over a 30-year period, using both survey data and proprietary data from LexisNexis, Inc. Supplementing the survey data with LexisNexis data improved precision and completeness of geographic coordinates. Final logistic regression models revealed higher odds of high exposure among cases. These findings suggest that living in close proximity to mountaintop removal coal mining sites could increase risk for lung cancer, after adjusting for other relevant factors.
基于人群的生态学和横断面研究观察到，在美国阿巴拉契亚中部地区的一些地方，山顶移除煤矿作业的地区存在多种癌症的高风险。病例对照研究可以为这些关系提供更强有力的证据，但如果基于当前居住地进行暴露分类，可能会存在错误，因为个人可能在多年间居住在几个具有不同环境暴露的住所中。为了解决这个问题，我们使用了先前肺癌病例对照研究中登记的个人的居住史，通过调查数据和 LexisNexis, Inc. 的专有数据，在 30 年的时间内评估居住与山顶移除煤矿之间的距离，使用 LexisNexis 数据补充调查数据提高了地理坐标的精度和完整性。最终的逻辑回归模型显示，病例组中高暴露的可能性更高。这些发现表明，在调整了其他相关因素后，居住在离山顶移除煤矿较近的地方可能会增加患肺癌的风险。
