BMC Public Health, 2015, 15:1035
By Katherine E. King, Thomas H. Darrah, Eric Money, Ross Meentemeyer, Rachel L. Maguire, Monica D. Nye, Lloyd Michener, Amy P. Murtha, Randy Jirtle, Susan K. Murphy, Michelle A. Mendez, Wayne Robarge, Avner Vengosh, and Cathrine Hoyo
“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.
Cluster overlay for Cd and Pb. The white contour line represents the area of the highest probably of Cd clustering, while the black contour lines represent the highest probability of Pb clustering. The overlapping areas indicate high probability of both Pb and Cd clustering
<div class="collapsible-content"> “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
By Katherine E. King, Thomas H. Darrah, Eric Money, Ross Meentemeyer, Rachel L. Maguire, Monica D. Nye, Lloyd Michener, Amy P. Murtha, Randy Jirtle, Susan K. Murphy, Michelle A. Mendez, Wayne Robarge, Avner Vengosh, and Cathrine Hoyo
“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.
<div class="collapsible-content"> “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