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Geographic clustering of elevated blood heavy metal levels in pregnant women
BACKGROUND: Cadmium (Cd), lead (Pb), mercury (Hg), and arsenic (As) exposure is ubiquitous and has been associated with higher risk of growth restriction and cardiometabolic and neurodevelopmental disorders. However, cost-efficient strategies to identify at-risk populations and potential sources of...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599656/ https://www.ncbi.nlm.nih.gov/pubmed/26449855 http://dx.doi.org/10.1186/s12889-015-2379-9 |
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author | King, Katherine E. Darrah, Thomas H. Money, Eric Meentemeyer, Ross Maguire, Rachel L. Nye, Monica D. Michener, Lloyd Murtha, Amy P. Jirtle, Randy Murphy, Susan K. Mendez, Michelle A. Robarge, Wayne Vengosh, Avner Hoyo, Cathrine |
author_facet | King, Katherine E. Darrah, Thomas H. Money, Eric Meentemeyer, Ross Maguire, Rachel L. Nye, Monica D. Michener, Lloyd Murtha, Amy P. Jirtle, Randy Murphy, Susan K. Mendez, Michelle A. Robarge, Wayne Vengosh, Avner Hoyo, Cathrine |
author_sort | King, Katherine E. |
collection | PubMed |
description | BACKGROUND: Cadmium (Cd), lead (Pb), mercury (Hg), and arsenic (As) exposure is ubiquitous and has been associated with higher risk of growth restriction and cardiometabolic and neurodevelopmental disorders. However, cost-efficient strategies to identify at-risk populations and potential sources of exposure to inform mitigation efforts are limited. The objective of this study was to describe the spatial distribution and identify factors associated with Cd, Pb, Hg, and As concentrations in peripheral blood of pregnant women. METHODS: Heavy metals were measured in whole peripheral blood of 310 pregnant women obtained at gestational age ~12 weeks. Prenatal residential addresses were geocoded and geospatial analysis (Getis-Ord G(i)* statistics) was used to determine if elevated blood concentrations were geographically clustered. Logistic regression models were used to identify factors associated with elevated blood metal levels and cluster membership. RESULTS: Geospatial clusters for Cd and Pb were identified with high confidence (p-value for G(i)* statistic <0.01). The Cd and Pb clusters comprised 10.5 and 9.2 % of Durham County residents, respectively. Medians and interquartile ranges of blood concentrations (μg/dL) for all participants were Cd 0.02 (0.01–0.04), Hg 0.03 (0.01–0.07), Pb 0.34 (0.16–0.83), and As 0.04 (0.04–0.05). In the Cd cluster, medians and interquartile ranges of blood concentrations (μg/dL) were Cd 0.06 (0.02–0.16), Hg 0.02 (0.00–0.05), Pb 0.54 (0.23–1.23), and As 0.05 (0.04–0.05). In the Pb cluster, medians and interquartile ranges of blood concentrations (μg/dL) were Cd 0.03 (0.02–0.15), Hg 0.01 (0.01–0.05), Pb 0.39 (0.24–0.74), and As 0.04 (0.04–0.05). Co-exposure with Pb and Cd was also clustered, the p-values for the G(i)* statistic for Pb and Cd was <0.01. Cluster membership was associated with lower education levels and higher pre-pregnancy BMI. CONCLUSIONS: Our data support that elevated blood concentrations of Cd and Pb are spatially clustered in this urban environment compared to the surrounding areas. Spatial analysis of metals concentrations in peripheral blood or urine obtained routinely during prenatal care can be useful in surveillance of heavy metal exposure. |
format | Online Article Text |
id | pubmed-4599656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45996562015-10-10 Geographic clustering of elevated blood heavy metal levels in pregnant women King, Katherine E. Darrah, Thomas H. Money, Eric Meentemeyer, Ross Maguire, Rachel L. Nye, Monica D. Michener, Lloyd Murtha, Amy P. Jirtle, Randy Murphy, Susan K. Mendez, Michelle A. Robarge, Wayne Vengosh, Avner Hoyo, Cathrine BMC Public Health Research Article BACKGROUND: Cadmium (Cd), lead (Pb), mercury (Hg), and arsenic (As) exposure is ubiquitous and has been associated with higher risk of growth restriction and cardiometabolic and neurodevelopmental disorders. However, cost-efficient strategies to identify at-risk populations and potential sources of exposure to inform mitigation efforts are limited. The objective of this study was to describe the spatial distribution and identify factors associated with Cd, Pb, Hg, and As concentrations in peripheral blood of pregnant women. METHODS: Heavy metals were measured in whole peripheral blood of 310 pregnant women obtained at gestational age ~12 weeks. Prenatal residential addresses were geocoded and geospatial analysis (Getis-Ord G(i)* statistics) was used to determine if elevated blood concentrations were geographically clustered. Logistic regression models were used to identify factors associated with elevated blood metal levels and cluster membership. RESULTS: Geospatial clusters for Cd and Pb were identified with high confidence (p-value for G(i)* statistic <0.01). The Cd and Pb clusters comprised 10.5 and 9.2 % of Durham County residents, respectively. Medians and interquartile ranges of blood concentrations (μg/dL) for all participants were Cd 0.02 (0.01–0.04), Hg 0.03 (0.01–0.07), Pb 0.34 (0.16–0.83), and As 0.04 (0.04–0.05). In the Cd cluster, medians and interquartile ranges of blood concentrations (μg/dL) were Cd 0.06 (0.02–0.16), Hg 0.02 (0.00–0.05), Pb 0.54 (0.23–1.23), and As 0.05 (0.04–0.05). In the Pb cluster, medians and interquartile ranges of blood concentrations (μg/dL) were Cd 0.03 (0.02–0.15), Hg 0.01 (0.01–0.05), Pb 0.39 (0.24–0.74), and As 0.04 (0.04–0.05). Co-exposure with Pb and Cd was also clustered, the p-values for the G(i)* statistic for Pb and Cd was <0.01. Cluster membership was associated with lower education levels and higher pre-pregnancy BMI. CONCLUSIONS: Our data support that elevated blood concentrations of Cd and Pb are spatially clustered in this urban environment compared to the surrounding areas. Spatial analysis of metals concentrations in peripheral blood or urine obtained routinely during prenatal care can be useful in surveillance of heavy metal exposure. BioMed Central 2015-10-09 /pmc/articles/PMC4599656/ /pubmed/26449855 http://dx.doi.org/10.1186/s12889-015-2379-9 Text en © King et al. 2015 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article King, Katherine E. Darrah, Thomas H. Money, Eric Meentemeyer, Ross Maguire, Rachel L. Nye, Monica D. Michener, Lloyd Murtha, Amy P. Jirtle, Randy Murphy, Susan K. Mendez, Michelle A. Robarge, Wayne Vengosh, Avner Hoyo, Cathrine Geographic clustering of elevated blood heavy metal levels in pregnant women |
title | Geographic clustering of elevated blood heavy metal levels in pregnant women |
title_full | Geographic clustering of elevated blood heavy metal levels in pregnant women |
title_fullStr | Geographic clustering of elevated blood heavy metal levels in pregnant women |
title_full_unstemmed | Geographic clustering of elevated blood heavy metal levels in pregnant women |
title_short | Geographic clustering of elevated blood heavy metal levels in pregnant women |
title_sort | geographic clustering of elevated blood heavy metal levels in pregnant women |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4599656/ https://www.ncbi.nlm.nih.gov/pubmed/26449855 http://dx.doi.org/10.1186/s12889-015-2379-9 |
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