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Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data
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 distribu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797570/ https://www.ncbi.nlm.nih.gov/pubmed/28155030 http://dx.doi.org/10.1007/s10653-016-9904-3 |
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author | López-Abente, Gonzalo Locutura-Rupérez, Juan Fernández-Navarro, Pablo Martín-Méndez, Iván Bel-Lan, Alejandro Núñez, Olivier |
author_facet | López-Abente, Gonzalo Locutura-Rupérez, Juan Fernández-Navarro, Pablo Martín-Méndez, Iván Bel-Lan, Alejandro Núñez, Olivier |
author_sort | López-Abente, Gonzalo |
collection | PubMed |
description | 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 Mollié 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10653-016-9904-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5797570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-57975702018-02-09 Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data López-Abente, Gonzalo Locutura-Rupérez, Juan Fernández-Navarro, Pablo Martín-Méndez, Iván Bel-Lan, Alejandro Núñez, Olivier Environ Geochem Health Original Paper 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 Mollié 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10653-016-9904-3) contains supplementary material, which is available to authorized users. Springer Netherlands 2017-02-02 2018 /pmc/articles/PMC5797570/ /pubmed/28155030 http://dx.doi.org/10.1007/s10653-016-9904-3 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper López-Abente, Gonzalo Locutura-Rupérez, Juan Fernández-Navarro, Pablo Martín-Méndez, Iván Bel-Lan, Alejandro Núñez, Olivier Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data |
title | Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data |
title_full | Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data |
title_fullStr | Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data |
title_full_unstemmed | Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data |
title_short | Compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data |
title_sort | compositional analysis of topsoil metals and its associations with cancer mortality using spatial misaligned data |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797570/ https://www.ncbi.nlm.nih.gov/pubmed/28155030 http://dx.doi.org/10.1007/s10653-016-9904-3 |
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