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Published in: Population Health Metrics 1/2018

Open Access 01-12-2018 | Research

Linkage of national soil quality measurements to primary care medical records in England and Wales: a new resource for investigating environmental impacts on human health

Authors: Jack E. Gibson, E. Louise Ander, Mark Cave, Fiona Bath-Hextall, Anwar Musah, Jo Leonardi-Bee

Published in: Population Health Metrics | Issue 1/2018

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Abstract

Background

Long-term, low-level exposure to toxic elements in soil may be harmful to human health but large longitudinal cohort studies with sufficient follow-up time to study these effects are cost-prohibitive and impractical. Linkage of routinely collected medical outcome data to systematic surveys of soil quality may offer a viable alternative.

Methods

We used the Geochemical Baseline Survey of the Environment (G-BASE), a systematic X-ray fluorescence survey of soil inorganic chemistry throughout England and Wales to obtain estimates of the concentrations of 15 elements in the soil contained within each English and Welsh postcode area. We linked these data to the residential postcodes of individuals enrolled in The Health Improvement Network (THIN), a large database of UK primary care medical records, to provide estimates of exposure. Observed exposure levels among the THIN population were compared with expectations based on UK population estimates to assess representativeness.

Results

Three hundred seventy-seven of three hundred ninety-five English and Welsh THIN practices agreed to participate in the linkage, providing complete residential soil metal estimates for 6,243,363 individuals (92% of all current and former patients) with a mean period of prospective computerised medical data collection (follow-up) of 6.75 years. Overall agreement between the THIN population and expectations was excellent; however, the number of participating practices in the Yorkshire & Humber strategic health authority was low, leading to restricted ranges of measurements for some elements relative to the known variations in geochemical concentrations in this area.

Conclusions

The linked database provides unprecedented population size and statistical power to study the effects of elements in soil on human health. With appropriate adjustment, results should be generalizable to and representative of the wider English and Welsh population.
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Literature
3.
go back to reference Hosford M. Human health toxicological assessment of contaminants in soil: using science to create a better place. Bristol: Environment Agency; 2008. Hosford M. Human health toxicological assessment of contaminants in soil: using science to create a better place. Bristol: Environment Agency; 2008.
7.
go back to reference Fordyce FM, Brown SE, Ander EL, Rawlins BG, O’Donnell KE, Lister TR, et al. GSUE: urban geochemical mapping in Great Britain. Geochem Explor Environ Anal. 2005;5:325–36.CrossRef Fordyce FM, Brown SE, Ander EL, Rawlins BG, O’Donnell KE, Lister TR, et al. GSUE: urban geochemical mapping in Great Britain. Geochem Explor Environ Anal. 2005;5:325–36.CrossRef
10.
go back to reference Loveland PJ, McGrath SP, editors. The soil geochemical atlas of England and Wales. Glasgow: Blackie Academic & Professional; 1992. Loveland PJ, McGrath SP, editors. The soil geochemical atlas of England and Wales. Glasgow: Blackie Academic & Professional; 1992.
12.
go back to reference Ingham MN, Vrebos BAR, Gilfrich JV. High productivity geochemical XRF analysis. advances in x-ray analysis: proceedings of the annual conference on application of X-ray analysis / edited by William M Mueller and Marie Fay; sponsored by University of Denver, Denver Research Institute; 1994. p. 717–24. Ingham MN, Vrebos BAR, Gilfrich JV. High productivity geochemical XRF analysis. advances in x-ray analysis: proceedings of the annual conference on application of X-ray analysis / edited by William M Mueller and Marie Fay; sponsored by University of Denver, Denver Research Institute; 1994. p. 717–24.
17.
go back to reference Tong S, von Schirnding YE, Prapamontol T. Environmental lead exposure: a public health problem of global dimensions. Bull World Health Organ. 2000;78:1068–77.PubMedPubMedCentral Tong S, von Schirnding YE, Prapamontol T. Environmental lead exposure: a public health problem of global dimensions. Bull World Health Organ. 2000;78:1068–77.PubMedPubMedCentral
22.
go back to reference Brugge D, Buchner V. Health effects of uranium: new research findings. Rev Environ Health. 2011;26:231–49.PubMed Brugge D, Buchner V. Health effects of uranium: new research findings. Rev Environ Health. 2011;26:231–49.PubMed
27.
go back to reference Bourke A, Dattani H, Robinson M. Feasibility study and methodology to create a quality-evaluated database of primary care data. Inform Prim Care. 2004;12:171–7.PubMed Bourke A, Dattani H, Robinson M. Feasibility study and methodology to create a quality-evaluated database of primary care data. Inform Prim Care. 2004;12:171–7.PubMed
28.
go back to reference Meal A, Leonardi-Bee J, Smith C, Hubbard R, Bath-Hextall F. Validation of THIN data for non-melanoma skin cancer. Qual Prim Care. 2008;16:49–52.PubMed Meal A, Leonardi-Bee J, Smith C, Hubbard R, Bath-Hextall F. Validation of THIN data for non-melanoma skin cancer. Qual Prim Care. 2008;16:49–52.PubMed
36.
go back to reference Blak BT, Thompson M, Dattani H, Bourke A. Generalisability of The Health Improvement Network (THIN) database: demographics, chronic disease prevalence and mortality rates. Inform Prim Care. 2011;19:251–5.PubMed Blak BT, Thompson M, Dattani H, Bourke A. Generalisability of The Health Improvement Network (THIN) database: demographics, chronic disease prevalence and mortality rates. Inform Prim Care. 2011;19:251–5.PubMed
44.
go back to reference Appleton JD, Cave MR, Wragg J. Anthropogenic and geogenic impacts on arsenic bioaccessibility in UK topsoils. Science of The Total Environment. 2012;435–436:21–29. Appleton JD, Cave MR, Wragg J. Anthropogenic and geogenic impacts on arsenic bioaccessibility in UK topsoils. Science of The Total Environment. 2012;435–436:21–29.
45.
go back to reference Atteia O, Dubois J-P, Webster R. Geostatistical analysis of soil contamination in the Swiss Jura. Environ Pollut. 1994;86:315–27. Atteia O, Dubois J-P, Webster R. Geostatistical analysis of soil contamination in the Swiss Jura. Environ Pollut. 1994;86:315–27.
46.
go back to reference Shi H, Jiang C, Dai W, Jiang X, Tang Y, Ohno-Machado L, et al. Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). BMC Med Inform Decis Mak. 2016;16:89. Shi H, Jiang C, Dai W, Jiang X, Tang Y, Ohno-Machado L, et al. Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). BMC Med Inform Decis Mak. 2016;16:89.
Metadata
Title
Linkage of national soil quality measurements to primary care medical records in England and Wales: a new resource for investigating environmental impacts on human health
Authors
Jack E. Gibson
E. Louise Ander
Mark Cave
Fiona Bath-Hextall
Anwar Musah
Jo Leonardi-Bee
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Population Health Metrics / Issue 1/2018
Electronic ISSN: 1478-7954
DOI
https://doi.org/10.1186/s12963-018-0168-2

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