Parker Jennifer D, Woodruff Tracey J, Akinbami Lara J, Kravets Nataliya
National Center for Health Statistics, CDC, 3311 Toledo Road, Hyattsville, MD 20782, USA.
Environ Res. 2008 Mar;106(3):384-92. doi: 10.1016/j.envres.2007.11.001. Epub 2008 Feb 20.
The goal of this study is to describe linkages between the National Health Interview Survey (NHIS) and Environmental Protection Agency (EPA) air monitoring data, specifically how the linkage method affects characteristics and exposure estimates of study samples and estimated associations between exposure and health. In the USA, nationally representative health data are collected in the NHIS and annual air quality data are collected by the EPA. The linkage of these data for research is not straightforward and the choices made may introduce bias into results. The 2000-2003 NHIS and air quality data for six air pollutants were linked by residential block group and monitor location, which differ by pollutants. For each pollutant, three annual exposure variables were assigned to respondents: (1) average of all monitors in the county, (2) of monitors within a 5-mile radius of the distance between block group and monitor, and (3) within a 20-mile radius. Exposure estimates, study sample characteristics, and association between fine particle exposure and respondent-reported health status were compared for different geographic linkage methods. The results showed that study sample characteristics varied by geographic linkage method and pollutant linked. Generally, the fewer the NHIS respondents linked, the higher is the pollution exposure and lower is the percentage of non-Hispanic whites. After adjustment for sociodemographic and geographic factors, associations between fine particles and health status were generally comparable across study samples. Because exposure information is not available for all potential participants in an epidemiological study, selection effects should be considered when drawing inferences about air quality-health associations. With the current monitoring data system, the study sample is substantially reduced when linkage to multiple pollutants is performed.
本研究的目的是描述国家健康访谈调查(NHIS)与环境保护局(EPA)空气监测数据之间的联系,特别是这种联系方法如何影响研究样本的特征和暴露估计,以及暴露与健康之间的估计关联。在美国,NHIS收集具有全国代表性的健康数据,EPA收集年度空气质量数据。将这些数据用于研究并非易事,所做的选择可能会给结果带来偏差。通过住宅街区组和监测点位置,将2000 - 2003年NHIS与六种空气污染物的空气质量数据进行了关联,不同污染物的关联方式有所不同。对于每种污染物,为受访者分配了三个年度暴露变量:(1)县内所有监测点的平均值,(2)街区组与监测点距离5英里半径范围内监测点的平均值,以及(3)20英里半径范围内监测点的平均值。针对不同的地理关联方法,比较了暴露估计、研究样本特征以及细颗粒物暴露与受访者报告的健康状况之间的关联。结果表明,研究样本特征因地理关联方法和所关联的污染物而异。一般来说,与NHIS关联的受访者越少,污染暴露越高,非西班牙裔白人的比例越低。在对社会人口统计学和地理因素进行调整后,不同研究样本中细颗粒物与健康状况之间的关联总体上具有可比性。由于在流行病学研究中并非所有潜在参与者都能获得暴露信息,在推断空气质量与健康的关联时应考虑选择效应。在当前的监测数据系统下,当进行多种污染物的关联时,研究样本会大幅减少。