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首页> 外文OA文献 >Influence of Geographic Location in Modeling Blood Pesticide Levels in a Community Surrounding a U.S. Environmental Protection Agency Superfund Site
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Influence of Geographic Location in Modeling Blood Pesticide Levels in a Community Surrounding a U.S. Environmental Protection Agency Superfund Site

机译：地理位置对美国环境保护署超级基金站点周围社区中血液中农药水平建模的影响

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In this study we evaluated residential location as a potential determinant for exposure to organochlorine compounds. We investigated the geographic distribution characteristics of organochlorine levels in approximately 1,374 blood samples collected in 1974 from residents of a community with a potential organochlorine source. Street addresses of Washington County, Maryland, residents were obtained and geocoded in a geographic information system. We used multivariate linear regression models to characterize the blood organochlorine levels of these residents that had been analyzed as part of previous studies using both environmental- and individual-level covariates. This was done to evaluate if the geographic distribution of blood levels in participants was related to the environmental source in the community. Model inference was based on generalized least squares to account for residual spatial variation. A significant inverse relationship was found between blood dieldrin levels and residential distance from the potential source. For every mile of distance from the source, blood dieldrin levels decreased 1.6 ng/g in study participants (p-value = 0.042), adjusting for age, sex, education level, smoking status, and drinking water source. 1,1-Dichloro-2,2-bis(p-chlorophenyl)ethylene (DDE) levels in the blood did not change significantly based on residential distance from the source, taking the same covariates into account. However, these results are limited by the inability to account for several potential confounders. This study demonstrates that spatially distributed covariates may play an important role in individual exposure patterns. Spatial information may enable researchers to detect a potential exposure pattern that may not be revealed with only nonspatial variables.
机译：在这项研究中，我们评估了居住地点是接触有机氯化合物的潜在决定因素。我们调查了1974年从具有潜在有机氯来源的社区的居民中收集的大约1,374份血液样本中有机氯水平的地理分布特征。获得了马里兰州华盛顿县的居民街道地址，并在地理信息系统中进行了地理编码。我们使用多元线性回归模型来表征这些居民的血液有机氯水平，这些是作为先前研究的一部分使用环境水平和个人水平协变量进行分析的。这样做是为了评估参与者血液水平的地理分布是否与社区中的环境来源有关。模型推论是基于广义最小二乘来说明剩余空间变化的。发现血狄氏剂水平与离潜在来源的居住距离之间存在显着的反比关系。在距来源每英里的地方，研究参与者的血液中狄氏剂水平降低了1.6 ng / g（p值= 0.042），并根据年龄，性别，教育程度，吸烟状况和饮用水源进行了调整。考虑到相同的协变量，血液中1,1-二氯-2,2-双（对氯苯基）乙烯（DDE）的水平不会根据与来源之间的居住距离而显着变化。但是，这些结果由于无法解释几个潜在的混杂因素而受到限制。这项研究表明，空间分布的协变量可能在个体暴露模式中起重要作用。空间信息可以使研究人员能够检测出仅通过非空间变量可能无法揭示的潜在暴露模式。

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