Lodge Evans K, Guseh Nahnsan S, Martin Chantel L, Fry Rebecca C, White Alexandra J, Ward-Caviness Cavin K, Galea Sandro, Aiello Allison E
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Environ Adv. 2022 Oct;9. doi: 10.1016/j.envadv.2022.100278. Epub 2022 Aug 4.
Research in environmental sciences has demonstrated that land in close proximity to brownfields and heavily trafficked highways is contaminated with toxic metals. Despite this, little is known about the influence of brownfields and highways on metal levels in residents living nearby. We used data from 774 participants in the Detroit Neighborhood Health Study to estimate the effect of residential proximity to brownfields, highways, and present-day traffic on serum levels of lead, mercury, manganese, and copper using generalized estimating equations. We found that a 1 standard deviation increase in residential brownfield density within 200m was associated with increased serum lead levels (β: 0.04, 95% CI: -0.01, 0.09). The same modeled increase in a subset of historic industrial-use brownfields was associated with elevated serum mercury (β: 0.06, 95% CI: 0.03, 0.09). Increased highway and traffic density was positively associated with serum manganese (β: 0.02, 95% CI: 0.01, 0.04). Highway and traffic density was also positively associated with serum lead (β: 0.02, 95% CI: 0.01, 0.03) after restricting the analysis to participants who did not move during the study follow-up period. These findings draw attention to the importance of remediating polluted post-industrial sites in heavily populated areas, particularly as residents continue to move into densely populated cities around the globe.
环境科学研究表明,靠近棕地和交通繁忙公路的土地受到有毒金属污染。尽管如此,关于棕地和公路对附近居民体内金属含量的影响却知之甚少。我们利用底特律邻里健康研究中774名参与者的数据,使用广义估计方程来估计居住在棕地、公路附近以及当前交通状况对血清中铅、汞、锰和铜含量的影响。我们发现,200米范围内住宅棕地密度每增加1个标准差,血清铅含量就会增加(β:0.04,95%置信区间:-0.01,0.09)。对一部分历史工业用途棕地进行同样的模型增加,与血清汞含量升高有关(β:0.06,95%置信区间:0.03,0.09)。公路和交通密度增加与血清锰呈正相关(β:0.02,95%置信区间:0.01,0.04)。在将分析限制在研究随访期间未搬家的参与者后,公路和交通密度也与血清铅呈正相关(β:0.02,95%置信区间:0.01,0.03)。这些发现凸显了在人口密集地区修复受污染的后工业场地的重要性,尤其是当居民继续迁入全球人口密集城市时。