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首页> 外文期刊>Environmental research >No association between soil constituents and amyotrophic lateral sclerosis relative risk in Ireland
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No association between soil constituents and amyotrophic lateral sclerosis relative risk in Ireland

机译:爱尔兰的土壤成分与肌萎缩性侧索硬化之间没有关联

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摘要

Introduction: We have recently mapped ALS spatial risk in Ireland using Bayesian and cluster analysis methods at electoral division (ED) and small area (SA) levels. As a number of metal elements (both minerals and toxins) have been proposed as risk factors for ALS, here we extend this analysis to include soil constituents from the Irish National Soils Database as Bayesian conditional auto-regression covari-ates to determine associations with small area ALS risk. Methods: Data on 45 different soil parameters were obtained under license from National Soils Database (via Irish EPA). We interpolated average values of each soil constituent for each small area using ordinary kriging. All cases of ALS in Ireland from January 1995 to December 2013 were identified from the Irish ALS register and observed and age and gender standardised expected cases were calculated for each SA. Besag-York-Mollie (BYM) models were then built including each parameter from the national soils database in turn as a Bayesian covariate in the BYM model. Models were compared using the deviance information criterion (D1C) and separate models were built for ALS subtypes. Results: 1701 ALS patients were included - 959 (56%) were male, 938 (55%) had limb onset ALS. 315 Bayesian models were built in total. Of the 315 models built, only one resulted in a coefficient that did not overlap zero. For limb onset cases, total magnesium had a mean coefficient of 0.319 (credible interval 0.033-0.607). Discussion: We report the first spatial analysis of potential association between ALS and soil minerals using a population-based dataset collected over 18 years. Our sole non-zero finding is likely a random finding due to the high number of models built. We did not find any evidence to support soil mineral and toxin levels as risk factors for ALS. However as soil parameters are an ecological assessment of exposure in a given area, individual level measures of exposure are required.
机译:简介:我们最近使用贝叶斯和聚类分析方法在选举区(ED)和小区域(SA)级别绘制了爱尔兰的ALS空间风险图。由于已经提出许多金属元素(矿物质和毒素)作为ALS的危险因素,因此在此我们将这一分析扩展到包括爱尔兰国家土壤数据库中的土壤成分,作为贝叶斯条件自回归协变量以确定与小数的关联地区ALS风险。方法:根据国家土壤数据库(通过爱尔兰EPA)的许可,获得了45种不同土壤参数的数据。我们使用普通克里金法对每个小区域的每个土壤成分的平均值进行插值。从爱尔兰ALS登记簿中识别出1995年1月至2013年12月在爱尔兰的所有ALS病例,并观察每个SA的年龄和性别标准化预期病例。然后建立Besag-York-Mollie(BYM)模型,该模型包括来自国家土壤数据库的每个参数,依次作为BYM模型中的贝叶斯协变量。使用偏差信息标准(D1C)对模型进行比较,并为ALS亚型建立单独的模型。结果:纳入1701例ALS患者-959例(56%)为男性,938例(55%)为肢体发作性ALS。总共建立了315个贝叶斯模型。在构建的315个模型中,只有一个模型得出的系数不与零重叠。对于肢体发作病例,总镁的平均系数为0.319(可信区间0.033-0.607)。讨论:我们报告了18年以来使用基于人口的数据集进行的ALS与土壤矿物之间潜在联系的首次空间分析。由于建立的模型数量众多,我们唯一的非零发现可能是随机发现。我们没有发现任何证据支持土壤矿物质和毒素水平是ALS的危险因素。但是,由于土壤参数是给定区域内暴露的生态学评估,因此需要单独的暴露水平度量。

著录项

  • 来源
    《Environmental research》 |2016年第5期|102-107|共6页
  • 作者单位

    Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin 2, Ireland;

    Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin 2, Ireland;

    Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin 2, Ireland;

    School of Geography, University College Dublin Belfield, Dublin, Ireland;

    Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin 2, Ireland;

    Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin 2, Ireland;

    School of Nursing and Human Sciences, Dublin City University, Dublin, Ireland;

    Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College, Dublin 2, Ireland,Department of Neurology, Beaumont Hospital, Beaumont, Ireland;

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

    Amyotrophic lateral sclerosis; Soil minerals; Spatial risk; Epidemiology;

    机译:肌萎缩性侧索硬化;土壤矿物质;空间风险;流行病学;

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