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Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data

机译:利用空间错位数据对表土金属的成分分析及其与癌症死亡率的关系

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摘要

The presence of toxic metals in soil per se, and in soil impacted by mining, industry, agriculture and urbanisation in particular, is a major concern for both human health and ecotoxicology. The dual aim of this study was: to ascertain whether topsoil composition could influence the spatial distribution of mortality due to different types of cancer and to identify possible errors committed by epidemiological studies which analyse soil composition data as a closed number system. We conducted an ecological cancer mortality study, covering 861,440 cancer deaths (27 cancer sites) in 7917 Spanish mainland towns, from 1999 to 2008. Topsoil levels of Al, As, Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn were determined by ICP-MS at 13,317 sampling points. We transformed the topsoil data in two ways, i.e. log transformation and centred logratio transformation. Principal factor analysis was performed to obtain independent latent factors for the transformed variables. To estimate the effect on mortality of topsoil factor loadings, we fitted Besag, York and Molli, models embedded in geostatistical-spatial models. This model included soil sample locations and town centroids (non-aligned data), fitted using the integrated nested Laplace approximation (INLA) as a tool for Bayesian inference and stochastic partial differential equations (SPDE). All results were adjusted for socio-demographic variables. The results indicated that soil composition could have an influence on the spatial distribution and mortality patterns of cancer. The analysis adjusted for socio-demographic variables showed excess male mortality due to digestive system tumours in areas with soils containing higher Cd, Pb, Zn, Mn and Cu concentrations, bladder cancer in areas with soils containing higher Cd concentrations, and brain cancer in areas with soils containing As. In both sexes, cancer of oesophagus was associated with soils containing a higher lead content, while lung cancer was associated with soils containing a higher copper content. Stress should be laid on the importance of taking into account the compositional nature of the data in this type of analysis.
机译:土壤本身,特别是受到采矿,工业,农业和城市化影响的土壤中,有毒金属的存在是人类健康和生态毒理学的主要关注点。这项研究的双重目的是:确定表土成分是否会影响由于不同类型的癌症引起的死亡率的空间分布,并确定流行病学研究(将土壤成分数据作为一个封闭数字系统进行分析)所犯的错误。从1999年到2008年,我们进行了一项生态癌症死亡率研究,涵盖了7917个西班牙大陆城镇中的861,440例癌症死亡(27个癌症地点)。Al,As,Cd,Cr,Cu,Fe,Mn,Ni,Pb和Zn的表层土壤水平由ICP-MS在13,317个采样点处确定。我们通过两种方式对表层土壤数据进行了转换,即对数转换和中心测井比转换。进行主因子分析以获取转换变量的独立潜在因子。为了估算表土因子负荷对死亡率的影响,我们拟合了嵌入地统计空间模型中的Besag,York和Molli模型。该模型包括土壤样本位置和城镇质心(非对齐数据),并使用集成的嵌套拉普拉斯逼近法(INLA)作为贝叶斯推断和随机偏微分方程(SPDE)的工具进行拟合。所有结果均根据社会人口统计学变量进行了调整。结果表明,土壤成分可能影响癌症的空间分布和死亡率。针对社会人口统计学变量进行调整后的分析表明,土壤中Cd,Pb,Zn,Mn和Cu含量较高的地区由于消化系统肿瘤而导致男性死亡率过高; Cd浓度较高的地区的膀胱癌;以及Cd较高地区的脑癌与含有砷的土壤。在男女中,食道癌与铅含量较高的土壤有关,而肺癌与铜含量较高的土壤有关。应该强调在这种类型的分析中必须考虑到数据的组成性质的重要性。

著录项

  • 来源
    《Environmental Geochemistry and Health》 |2018年第1期|283-294|共12页
  • 作者单位

    Carlos III Inst Hlth, Natl Ctr Epidemiol, Environm & Canc Epidemiol Unit, Avda Monforte de Lemos 5, Madrid 28029, Spain;

    Inst Geol & Minero Espana IGME, Spanish Geol & Min Inst, Dept Geochem & Mineral Resources, Rios Rosas 23, Madrid 28003, Spain;

    Carlos III Inst Hlth, Natl Ctr Epidemiol, Environm & Canc Epidemiol Unit, Avda Monforte de Lemos 5, Madrid 28029, Spain;

    Inst Geol & Minero Espana IGME, Spanish Geol & Min Inst, Dept Geochem & Mineral Resources, Rios Rosas 23, Madrid 28003, Spain;

    Inst Geol & Minero Espana IGME, Spanish Geol & Min Inst, Dept Geochem & Mineral Resources, Rios Rosas 23, Madrid 28003, Spain;

    Carlos III Inst Hlth, Natl Ctr Epidemiol, Environm & Canc Epidemiol Unit, Avda Monforte de Lemos 5, Madrid 28029, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cancer mortality; Spatial data analysis; Geochemistry; Soil composition; Compositional analysis; Medical geology;

    机译:癌症死亡率;空间数据分析;地球化学;土壤成分;组成分析;医学地质;
  • 入库时间 2022-08-17 13:23:59

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