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Tracing a Path to the Past: Exploring the Use of Commercial Credit Reporting Data to Construct Residential Histories for Epidemiologic Studies of Environmental Exposures

机译:追寻过去的道路:探索使用商业信用报告数据构建居民历史以进行环境暴露的流行病学研究

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摘要

Large-scale environmental epidemiologic studies often rely on exposure estimates based on linkage to residential addresses. This approach, however, is limited by the lack of residential histories typically available for study participants. Our objective was to evaluate the feasibility of using address data from LexisNexis (a division of RELX, Inc., Dayton, Ohio), a commercially available credit reporting company, to construct residential histories for participants in the California Teachers Study (CTS), a prospective cohort study initiated in 1995–1996 to study breast cancer (n = 133,479). We evaluated the degree to which LexisNexis could provide retrospective addresses prior to study enrollment, as well as the concordance with existing prospective CTS addresses ascertained at the time of the completion of 4 self-administered questionnaires. For approximately 80% of CTS participants, LexisNexis provided at least 1 retrospective address, including nearly 25,000 addresses completely encompassed by time periods prior to enrollment. This approach more than doubled the proportion of the study population for whom we had an address of residence during the childbearing years—an important window of susceptibility for breast cancer risk. While overall concordance between the prospective addresses contained in these 2 data sources was good (85%), it was diminished among black women and women under the age of 40 years.
机译:大规模的环境流行病学研究通常依赖于与居住地址相关联的接触估计。然而,由于缺乏通常可供研究参与者使用的居住历史,这种方法受到了限制。我们的目标是评估使用可商购的信用报告公司LexisNexis(RELX,Inc.,俄亥俄州代顿市的一个部门)的地址数据来为加利福尼亚州教师研究(CTS)参与者建立住所历史的可行性。前瞻性队列研究始于1995年至1996年,旨在研究乳腺癌(n = 133,479)。我们评估了LexisNexis在研究入组之前可以提供回顾性地址的程度,以及在完成四份自我管理调查表时确定的与现有预期CTS地址的一致性。对于大约80%的CTS参与者,LexisNexis提供了至少1个回顾性地址,其中包括将近25,000个地址,这些地址完全被注册前的时间范围所涵盖。这种方法使我们在育龄期间有住所的人口比例增加了一倍以上,这是乳腺癌风险易感性的重要窗口。虽然这两个数据源中包含的预期地址之间的总体一致性很好(85%),但黑人妇女和40岁以下妇女的一致性却有所下降。

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