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Variability in the spatial density of vacant properties contributes to background lead (Pb) exposure in children

机译:空间密度的可变性有助于儿童的背景铅(PB)暴露

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摘要

Background: Heightened blood lead levels (BLL) are associated with cognitive deficiencies and adverse behavioral outcomes. Lead-contaminated house dust is the primary source of exposure in U.S. children, and evidence suggests that even background (low-level) exposure has negative consequences. Identifying sources of background exposure is of great public health significance because of the larger number of children that can be affected.Methods: Blood lead was assessed in a bi-racial sample of children from Syracuse, NY, aged 9-11, using established biomonitoring methods. The spatial density of vacant properties was modelled from publicly available georeferenced datasets. Further, regression models were used to measure the impact of this spatial density variable on children's BLL.Results: In a sample of 221 children, with a mean BLL of 1.06 mu g/dL (SD = 0.68), results showed increases in spatial density of vacant properties predict increases in median blood-PB levels, b = 0.14 (0.06-0.21), p .001. This association held true even after accounting for demographic covariates, and age of individual housing. Further analysis showed spatial autocorrelation of the residuals changed from a clustered pattern to a random pattern once the spatial density variable was introduced to the model.Discussion: This study is the first to identify a background-lead exposure source using spatial density modelling. As vacant properties deteriorate, lead-contaminated dust likely disperses into the surrounding environment. High-density areas have an accumulation of lead hazards in environmental media, namely soil and dust, putting more children at risk of exposure.
机译:背景:提高血铅水平(BLL)与认知缺陷和不良行为结果有关。铅受污染的房屋粉尘是美国儿童暴露的主要源,证据表明甚至背景(低级)暴露具有负面后果。识别背景暴露的来源是具有很大的公众健康意义,因为可以受到影响的较多的儿童。方法:使用已建立的生物监测,在Syracuse,NY的锡拉丘兹的双种族样本中评估血铅。方法。空置特性的空间密度由公开的地理学数据集进行建模。此外,回归模型用于测量该空间密度变量对儿童的BLL.Results的影响:在221例儿童的样品中,平均bll为1.06μg/ dl(sd = 0.68),结果表明空间密度增加空位性能预测中位血液Pb水平的增加,B = 0.14(0.06-0.21),P <.001。这种协会即使在考虑人口协变者和个人住房年龄之后也持有了真实。进一步的分析显示,一旦将空间密度变量引入模型,就显示了从聚类模式改变的残差变为随机图案。该研究是第一个使用空间密度建模识别背景铅曝光源的方法。随着空置性能恶化,铅受污染的粉尘可能分散到周围环境中。高密度区域积累了环境媒体的铅危险,即土壤和灰尘,使更多的儿童受到暴露的风险。

著录项

  • 来源
    《Environmental research》 |2019年第3期|463-471|共9页
  • 作者单位

    Syracuse Univ Dept Publ Hlth Food Studies & Nutr Syracuse NY 13204 USA;

    Syracuse Univ Dept Publ Hlth Food Studies & Nutr Syracuse NY 13204 USA;

    Syracuse Univ Dept Publ Hlth Food Studies & Nutr Syracuse NY 13204 USA;

    New York State Dept Hlth Lab Inorgan & Nucl Chem Wadsworth Ctr Albany NY 12201 USA|SUNY Albany Dept Environm Hlth Sci Sch Publ Hlth Rensselaer NY 12144 USA;

    New York State Dept Hlth Lab Inorgan & Nucl Chem Wadsworth Ctr Albany NY 12201 USA|SUNY Albany Dept Environm Hlth Sci Sch Publ Hlth Rensselaer NY 12144 USA;

    Syracuse Univ Dept Publ Hlth Food Studies & Nutr Syracuse NY 13204 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Spatial modelling; Lead exposure; Environmental health; Blood lead; Spatial epidemiology;

    机译:空间建模;铅曝光;环境健康;血铅;空间流行病学;
  • 入库时间 2022-08-18 21:51:00

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