Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances
This research uses an urban soil geochemistry database of elemental concentration to examine the potential relationship between Standardised Incidence Rates (SIRs) of Chronic Kidney Disease (CKD) of uncertain aetiology (CKDu), and cumulative low level geogenic and diffuse anthropogenic contamination...
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doaj-b0b5fb7b907e49998ab007ee328e8ee32020-11-25T02:27:00ZengElsevierApplied Computing and Geosciences2590-19742020-06-016100024Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balancesJennifer M. McKinley0Ute Mueller1Peter M. Atkinson2Ulrich Ofterdinger3Chloe Jackson4Siobhan F. Cox5Rory Doherty6Damian Fogarty7J.J. Egozcue8V. Pawlowsky-Glahn9School of Natural and Built Environment, Queen’s University Belfast, Northern Ireland, UK; Corresponding author.School of Science, Edith Cowan University, Perth, Western Australia, AustraliaSchool of Natural and Built Environment, Queen’s University Belfast, Northern Ireland, UK; Lancaster Environment Centre, Lancaster University, Lancaster, UKSchool of Natural and Built Environment, Queen’s University Belfast, Northern Ireland, UKSchool of Natural and Built Environment, Queen’s University Belfast, Northern Ireland, UKSchool of Natural and Built Environment, Queen’s University Belfast, Northern Ireland, UKSchool of Natural and Built Environment, Queen’s University Belfast, Northern Ireland, UKBelfast Health Trust, Belfast, Northern Ireland, UKDept. Civil and Environmental Engineering, U. Politécnica de Cataluña (UPC), Barcelona, SpainDep. Computer Sciences, Applied Mathematics, and Statistics, University of Girona, SpainThis research uses an urban soil geochemistry database of elemental concentration to examine the potential relationship between Standardised Incidence Rates (SIRs) of Chronic Kidney Disease (CKD) of uncertain aetiology (CKDu), and cumulative low level geogenic and diffuse anthropogenic contamination of soils with PTEs. A compositional data analysis approach was applied to determine the elemental balance(s) of the geochemical data showing the greatest association with CKDu. The research concludes that both anthropogenic and geogenic factors may be contributing influences to explain high incidences of CKDu, up to 12 times greater in some Super Output Areas (SOAs) than would be expected for the average population. The role of As, Cr, Cu, Pb, Sb and Mo was highlighted, which may be linked to anthropogenic sources such as historical industrial sources, atmospheric pollution deposition and brake emissions. Geogenic factors were shown to be important in areas with elevated relative concentrations of naturally occurring potentially toxic elements (PTEs).http://www.sciencedirect.com/science/article/pii/S2590197420300069GeochemistryChronic kidney diseaseUncertain aetiology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jennifer M. McKinley Ute Mueller Peter M. Atkinson Ulrich Ofterdinger Chloe Jackson Siobhan F. Cox Rory Doherty Damian Fogarty J.J. Egozcue V. Pawlowsky-Glahn |
spellingShingle |
Jennifer M. McKinley Ute Mueller Peter M. Atkinson Ulrich Ofterdinger Chloe Jackson Siobhan F. Cox Rory Doherty Damian Fogarty J.J. Egozcue V. Pawlowsky-Glahn Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances Applied Computing and Geosciences Geochemistry Chronic kidney disease Uncertain aetiology |
author_facet |
Jennifer M. McKinley Ute Mueller Peter M. Atkinson Ulrich Ofterdinger Chloe Jackson Siobhan F. Cox Rory Doherty Damian Fogarty J.J. Egozcue V. Pawlowsky-Glahn |
author_sort |
Jennifer M. McKinley |
title |
Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances |
title_short |
Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances |
title_full |
Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances |
title_fullStr |
Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances |
title_full_unstemmed |
Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances |
title_sort |
investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances |
publisher |
Elsevier |
series |
Applied Computing and Geosciences |
issn |
2590-1974 |
publishDate |
2020-06-01 |
description |
This research uses an urban soil geochemistry database of elemental concentration to examine the potential relationship between Standardised Incidence Rates (SIRs) of Chronic Kidney Disease (CKD) of uncertain aetiology (CKDu), and cumulative low level geogenic and diffuse anthropogenic contamination of soils with PTEs. A compositional data analysis approach was applied to determine the elemental balance(s) of the geochemical data showing the greatest association with CKDu. The research concludes that both anthropogenic and geogenic factors may be contributing influences to explain high incidences of CKDu, up to 12 times greater in some Super Output Areas (SOAs) than would be expected for the average population. The role of As, Cr, Cu, Pb, Sb and Mo was highlighted, which may be linked to anthropogenic sources such as historical industrial sources, atmospheric pollution deposition and brake emissions. Geogenic factors were shown to be important in areas with elevated relative concentrations of naturally occurring potentially toxic elements (PTEs). |
topic |
Geochemistry Chronic kidney disease Uncertain aetiology |
url |
http://www.sciencedirect.com/science/article/pii/S2590197420300069 |
work_keys_str_mv |
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