Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances

Jennifer McKinley; Ute Mueller; Peter Atkinson; Ulrich Ofterdinger; Chloe Jackson; Siobhan Cox; Rory Doherty; Damian Fogarty; Vera Pawlowsky-Glahn; Juan José Egozcue

doi:10.1016/j.acags.2020.100024

Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances

Jennifer McKinley^*, Ute Mueller, Peter Atkinson, Ulrich Ofterdinger, Chloe Jackson, Siobhan Cox, Rory Doherty, Damian Fogarty, Vera Pawlowsky-Glahn, Juan José Egozcue

^*Corresponding author for this work

School of Natural and Built Environment

Research output: Contribution to journal › Special issue

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Abstract

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 (SOA) 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 (PTE).

Original language	English
Article number	1000247
Number of pages	7
Journal	Applied Computing and Geosciences
Volume	6
Early online date	31 Mar 2020
DOIs	https://doi.org/10.1016/j.acags.2020.100024
Publication status	Published - 01 Jun 2020
Event	The 8th International Workshop on Compositional Data Analysis: CoDa Work 2019 - U. Politécnica de Cataluña , Terrassa, Barcelona, Spain Duration: 03 Jun 2019 → 08 Jun 2019 Conference number: 8 https://webs.camins.upc.edu/codawork2019/

Keywords

Geochemistry
chronic kidney disease
uncertain aetiology

ASJC Scopus subject areas

Environmental Chemistry
Environmental Science (miscellaneous)
Health, Toxicology and Mutagenesis
Pollution
Applied Mathematics
Modelling and Simulation

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Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances
© 2020 Elsevier Ltd. This manuscript is distributed under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Accepted author manuscript, 967 KBLicence: CC BY-NC-ND

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R3977GGY: Trace Element Abundance and Human Epidemiology - The Tellus Case Study<GEOG/PLANNING>
McKinley, J. & Ofterdinger, U.
01/08/2007 → …
Project: Research

Cite this

McKinley, J., Mueller, U., Atkinson, P., Ofterdinger, U., Jackson, C., Cox, S., Doherty, R., Fogarty, D., Pawlowsky-Glahn, V., & Egozcue, J. J. (2020). Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances. Applied Computing and Geosciences, 6, [1000247]. https://doi.org/10.1016/j.acags.2020.100024

McKinley, Jennifer ; Mueller, Ute ; Atkinson, Peter ; Ofterdinger, Ulrich ; Jackson, Chloe ; Cox, Siobhan ; Doherty, Rory ; Fogarty, Damian ; Pawlowsky-Glahn, Vera ; Egozcue, Juan José. / Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances. In: Applied Computing and Geosciences. 2020 ; Vol. 6.

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title = "Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances",

abstract = "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 (SOA) 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 (PTE). ",

keywords = "Geochemistry, chronic kidney disease, uncertain aetiology",

author = "Jennifer McKinley and Ute Mueller and Peter Atkinson and Ulrich Ofterdinger and Chloe Jackson and Siobhan Cox and Rory Doherty and Damian Fogarty and Vera Pawlowsky-Glahn and Egozcue, {Juan Jos{\'e}}",

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doi = "10.1016/j.acags.2020.100024",

language = "English",

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journal = "Applied Computing and Geosciences",

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McKinley, J, Mueller, U, Atkinson, P, Ofterdinger, U, Jackson, C, Cox, S , Doherty, R, Fogarty, D, Pawlowsky-Glahn, V & Egozcue, JJ 2020, 'Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances', Applied Computing and Geosciences, vol. 6, 1000247. https://doi.org/10.1016/j.acags.2020.100024

Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances. / McKinley, Jennifer; Mueller, Ute; Atkinson, Peter; Ofterdinger, Ulrich; Jackson, Chloe; Cox, Siobhan ; Doherty, Rory; Fogarty, Damian; Pawlowsky-Glahn, Vera; Egozcue, Juan José.

In: Applied Computing and Geosciences, Vol. 6, 1000247, 01.06.2020.

Research output: Contribution to journal › Special issue

TY - JOUR

T1 - Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances

AU - McKinley, Jennifer

AU - Mueller, Ute

AU - Atkinson, Peter

AU - Ofterdinger, Ulrich

AU - Jackson, Chloe

AU - Cox, Siobhan

AU - Doherty, Rory

AU - Fogarty, Damian

AU - Pawlowsky-Glahn, Vera

AU - Egozcue, Juan José

N1 - Conference code: 8

PY - 2020/6/1

Y1 - 2020/6/1

N2 - 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 (SOA) 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 (PTE).

AB - 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 (SOA) 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 (PTE).

KW - Geochemistry

KW - chronic kidney disease

KW - uncertain aetiology

U2 - 10.1016/j.acags.2020.100024

DO - 10.1016/j.acags.2020.100024

M3 - Special issue

VL - 6

JO - Applied Computing and Geosciences

JF - Applied Computing and Geosciences

SN - 2590-1974

M1 - 1000247

T2 - The 8th International Workshop on Compositional Data Analysis

Y2 - 3 June 2019 through 8 June 2019

ER -

Investigating the influence of environmental factors on the incidence of renal disease with compositional data analysis using balances

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

R3977GGY: Trace Element Abundance and Human Epidemiology - The Tellus Case Study<GEOG/PLANNING>

Cite this