Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Environ Res. 2021 Jun;197:110986. doi: 10.1016/j.envres.2021.110986. Epub 2021 Mar 6.
Commercial databases can be used to identify participant addresses over time, but their quality and impact on environmental exposure assessment is uncertain.
To evaluate the performance of a commercial database to find residences and estimate environmental exposures for study participants.
We searched LexisNexis® for participant addresses in the Los Angeles Ultrafines Study, a prospective cohort of men and women aged 50-71 years. At enrollment (1995-1996) and follow-up (2004-2005), we evaluated attainment (address found for the corresponding time period) and match rates to survey addresses by participant characteristics. We compared geographically-referenced predictors and estimates of ultrafine particulate matter (UFP) exposure from a land use regression model using LexisNexis and survey addresses at enrollment.
LexisNexis identified an address for 69% of participants at enrollment (N = 50,320) and 95% of participants at follow-up (N = 24,432). Attainment rate at enrollment modestly differed (≥5%) by age, smoking status, education, and residential mobility between surveys. The match rate at both survey periods was high (82-86%) and similar across characteristics. When using LexisNexis versus survey addresses, correlations were high for continuous values of UFP exposure and its predictors (rho = 0.86-0.92).
Time period and population characteristics influenced the attainment of addresses from a commercial database, but accuracy and subsequent estimation of specific air pollution exposures were high in our older study population.
商业数据库可用于随时间识别参与者的地址，但它们的质量及其对环境暴露评估的影响尚不确定。
评估商业数据库查找住所并估算研究参与者环境暴露的性能。
我们在 LexisNexis®中搜索了洛杉矶超细颗粒研究（一项年龄在 50-71 岁的男性和女性的前瞻性队列研究）的参与者地址。在入组（1995-1996 年）和随访（2004-2005 年）时，我们根据参与者特征评估了地址的可获得性（对应时间段内找到的地址）和匹配率。我们比较了使用 LexisNexis 和调查地址在入组时进行地理参考预测因子和超细颗粒物（UFP）暴露估计的土地利用回归模型。
LexisNexis 在入组时确定了 69%的参与者（N=50320）和 95%的参与者（N=24432）的地址。入组时的获得率在年龄、吸烟状况、教育程度和调查之间的住所流动性方面略有差异（≥5%）。两个调查期间的匹配率均很高（82-86%），且特征相似。在使用 LexisNexis 与调查地址时，UFP 暴露及其预测因子的连续值的相关性很高（rho=0.86-0.92）。
时间段和人口特征影响了从商业数据库中获得地址的情况，但在我们的老年研究人群中，准确性和随后对特定空气污染暴露的估计仍然很高。
