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Linkage of the US National Health Interview Survey to air monitoring data: An evaluation of different strategies

机译:美国国家健康访谈调查与空气监测数据的联系:对不同战略的评估

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摘要

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.
机译:这项研究的目的是描述国家健康访问调查(NHIS)和环境保护局(EPA)空气监测数据之间的联系,特别是联系方法如何影响研究样品的特性和暴露估计以及暴露与健康之间的估计关联。在美国,在NHIS中收集具有全国代表性的健康数据,而EPA则收集年度空气质量数据。这些数据用于研究的联系并不简单,选择可能会给结果带来偏差。六种空气污染物的2000–2003年NHIS和空气质量数据通过居民区组和监测器位置进行链接,但因污染物而异。对于每种污染物,将三个年度暴露变量分配给受访者:(1)该县所有监测仪的平均值;(2)监测区组与监测仪之间距离5英里范围内的监测仪;以及(3)半径20英里。比较了不同地理联系方法的暴露估计,研究样品特征以及细颗粒暴露与受访者报告的健康状况之间的关联。结果表明,研究样品的特征随地理联系方法和污染物联系而变化。通常,NHIS受访者联系的越少,暴露的污染越高,非西班牙裔白人所占的百分比越低。在调整了社会人口统计学和地理因素后,研究样本之间的细颗粒与健康状况之间的关联通常是可比的。由于并不是所有流行病学研究的潜在参与者都可以获得暴露信息,因此在推断空气质量与健康之间的联系时应考虑选择效应。使用当前的监测数据系统,当与多种污染物建立联系时,研究样本将大大减少。

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