Rembert Nicole, He Ka, Judd Suzanne E, McClure Leslie A
Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Department of Epidemiology and Biostatistics, Indiana University at Bloomington, Bloomington, IN, USA.
Environ Monit Assess. 2017 Feb;189(2):84. doi: 10.1007/s10661-016-5733-1. Epub 2017 Jan 30.
Research on trace elements and the effects of their ingestion on human health is often seen in scientific literature. However, little research has been done on the distribution of trace elements in the environment and their impact on health. This paper examines what characteristics among participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study are associated with levels of environmental exposure to arsenic, magnesium, mercury, and selenium. Demographic information from REGARDS participants was combined with trace element concentration data from the US Geochemical Survey (USGS). Each trace element was characterized as either low (magnesium and selenium) or high (arsenic and mercury) exposure. Associations between demographic characteristics and trace element concentrations were analyzed with unadjusted and adjusted logistic regression models. Individuals who reside in the Stroke Belt have lower odds of high exposure (4th quartile) to arsenic (OR 0.33, CI 0.31, 0.35) and increased exposure to mercury (OR 0.65, CI 0.62, 0.70) than those living outside of these areas, while the odds of low exposure to trace element concentrations were increased for magnesium (OR 5.48, CI 5.05, 5.95) and selenium (OR 2.37, CI 2.22, 2.54). We found an association between levels of trace elements in the environment and geographic region of residence, among other factors. Future studies are needed to further examine this association and determine whether or not these differences may be related to geographic variation in disease.
微量元素及其摄入对人体健康影响的研究在科学文献中屡见不鲜。然而,关于微量元素在环境中的分布及其对健康的影响却鲜有研究。本文探讨了卒中地理和种族差异原因(REGARDS)研究参与者的哪些特征与砷、镁、汞和硒的环境暴露水平相关。REGARDS参与者的人口统计学信息与美国地球化学调查(USGS)的微量元素浓度数据相结合。每种微量元素被分为低暴露(镁和硒)或高暴露(砷和汞)。使用未调整和调整后的逻辑回归模型分析人口统计学特征与微量元素浓度之间的关联。与居住在这些区域以外的人相比,居住在卒中带的个体砷高暴露(第四四分位数)的几率较低(OR 0.33,CI 0.31,0.35),汞暴露增加(OR 0.65,CI 0.62,0.70),而镁(OR 5.48,CI 5.05,5.95)和硒(OR 2.37,CI 2.22,2.54)低暴露于微量元素浓度的几率增加。我们发现,除其他因素外,环境中微量元素水平与居住地理区域之间存在关联。未来需要进一步研究这种关联,并确定这些差异是否可能与疾病的地理变异有关。