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Sun L, Ng JC, Tang W, Zhang H, Zhao Y, Shu L. Assessment of human health risk due to lead in urban park soils using in vitro methods. CHEMOSPHERE 2021; 269:128714. [PMID: 33127111 DOI: 10.1016/j.chemosphere.2020.128714] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 10/10/2020] [Accepted: 10/16/2020] [Indexed: 06/11/2023]
Abstract
Beijing parks always have a large flow of local residents and tourists, and the soil Pb could threaten human health by incidental ingestion. Soil samples from eleven parks in Beijing were collected to assess the human health risk associated with Pb. Lead bioaccessibility in these parks ranged from 3.2 ± 0.4% to 12.1 ± 0.5% in the physiologically based extraction test (PBET) gastric phase and increased when approaching the city center. The chemical forms and soil properties (Fe, organic matter, and grain size) were important factors affecting the soil Pb bioaccessibility. The geo-accumulation index of Beihai Park (BH, near the city center) reached 1.3 ± 0.1 indicating moderate contamination. Lead health risk to children in BH should be of concern though its hazard quotient was below one. Results obtained from the Diffusive Gradients in Thin-films (DGT)-induced fluxes in the soils (DIFS) model showed that Pb-release in some parks farther from the city center was a "partially sustained case" (Rdiff < R < 0.95) indicating that soil particles could partially replenish effective Pb to the soil solution. A relatively higher desorption rate constant (k1) and shorter characteristic response time (Tc) were also found in these parks, indicating non-negligible release risk. Soil Pb based on the PBET method and DIFS model could provide a reliable reference to park managers for the health risk management of Pb pollution.
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Affiliation(s)
- Liu Sun
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jack C Ng
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, Brisbane, QLD, 4102, Australia
| | - Wenzhong Tang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Hong Zhang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yu Zhao
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Limin Shu
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China
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Aelion CM, Davis HT. Blood lead levels in children in urban and rural areas: Using multilevel modeling to investigate impacts of gender, race, poverty, and the environment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 694:133783. [PMID: 31756823 DOI: 10.1016/j.scitotenv.2019.133783] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 08/02/2019] [Accepted: 08/04/2019] [Indexed: 05/27/2023]
Abstract
Many studies of children's exposure to lead (Pb) are carried out in urban and industrialized environments. This study analyzed blood lead level (BLL) data collected from 2011 to 2016 from approximately 140,000 children ages <1 to 6 years across South Carolina (SC), including urban and rural areas. Individual-level characteristics included children's age, and race/ethnicity. Block group variables examined included population by race and ethnicity, households below the poverty level, median year homes built, urban/rural classification, and percent road coverage. BLL were higher in urban compared to rural children but increased to a greater extent in rural children from age < 1 year to 2 years. Road coverage was strongly associated with higher BLL in urban areas, and with home age more weakly, but neither road coverage nor home age was associated with BLL in rural areas. Young urban children may receive greater exposure to Pb from house dust and outdoor legacy Pb contamination, and young rural children through diet and drinking water. Black children had higher BLL in urban areas than white children, and the converse was true in rural areas. Population data indicated that rural areas had more poverty than urban areas, but strong associations between increased children's BLL and either ethnicity or socio-economic status (SES) at the block group level was not observed, likely due to distinct characteristics of poverty and geographic distribution by ethnicity in urban as compared to rural areas of SC. Individual demographics and environmental characteristics may be more closely associated with BLL than geographically aggregated SES and race/ethnicity characteristics. Interventions to reduce children's exposure to Pb should occur at as early an age as possible, and differences between rural and urban areas should be considered as interventions are developed to reduce children's BLL.
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Affiliation(s)
- C M Aelion
- University of Massachusetts Amherst, School of Public Health and Health Sciences, Department of Environmental Health Sciences, Amherst, MA, USA
| | - H T Davis
- South Carolina Department of Health and Environmental Control, Bureau of Health Improvement and Equity, Columbia, SC, USA.
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Xie T, Wang M, Su C, Chen W. Evaluation of the natural attenuation capacity of urban residential soils with ecosystem-service performance index (EPX) and entropy-weight methods. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 238:222-229. [PMID: 29558656 DOI: 10.1016/j.envpol.2018.03.013] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Revised: 03/02/2018] [Accepted: 03/06/2018] [Indexed: 06/08/2023]
Abstract
Soils provide the service of attenuating and detoxifying pollutants. Such ability, natural attenuation capacity (NAC), is one of the most important ecosystem services for urban soils. We improved the ecosystem-service performance index (EPX) model by integrating with entropy weight determination method to evaluate the NAC of residential soils in Beijing. Eleven parameters related to the soil process of pollutants fate and transport were selected and 115 residential soil samples were collected. The results showed that bulk density, microbial functional diversity and soil organic matter had high weights in the NAC evaluation. Urban socio-economic indicators of residential communities such as construction age, population density and property & management fee could be employed in kinetic fittings of NAC. It could be concluded urbanization had significant impacts on NAC in residential soils. The improved method revealed reasonable and practical results, and it could be served as a potential measure for application to other quantitative assessment.
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Affiliation(s)
- Tian Xie
- State Key Laboratory for Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Beijing, China; University of Chinese Academy of Sciences, China
| | - Meie Wang
- State Key Laboratory for Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Beijing, China.
| | - Chao Su
- State Key Laboratory for Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Beijing, China; University of Chinese Academy of Sciences, China
| | - Weiping Chen
- State Key Laboratory for Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Beijing, China.
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Davis HT, Aelion CM, Liu J, Burch JB, Cai B, Lawson AB, McDermott S. Potential sources and racial disparities in the residential distribution of soil arsenic and lead among pregnant women. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 551-552:622-30. [PMID: 26897405 PMCID: PMC4808624 DOI: 10.1016/j.scitotenv.2016.02.018] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2015] [Revised: 02/02/2016] [Accepted: 02/02/2016] [Indexed: 05/20/2023]
Abstract
Exposure to arsenic (As) or lead (Pb) has been associated with adverse health outcomes, and high-risk populations can be disproportionately exposed to these metals in soils. The objectives of this study were: to examine if predicted soil As and Pb concentrations at maternal residences of South Carolina (SC) low-income mothers differed based on maternal race (non-Hispanic black versus white), to examine whether differences in predicted residential soil As and Pb concentrations among black and white mothers differed by socioeconomic status (SES), and to examine whether such disparities persisted after controlling for anthropogenic sources of these metals, including direction from, and distance to industrial facilities. Kriged soil As and Pb concentrations were estimated at maternal residences in 11 locations in SC, and models with maternal race and individual and US Census block group level SES measures were examined. US Environmental Protection Agency Toxics Release Inventory (TRI) facility As and Pb releases categorized by distance and direction to block groups in which mothers resided were also identified, as were proxy measures for historic use of leaded gasoline (road density) and Pb-based paint (categories of median year home built by US Census block group). Consistent racial disparities were observed for predicted residential soil As and Pb concentrations, and the disparity was stronger for Pb than As (betas from adjusted models for black mothers were 0.12 and 2.2 for As and Pb, respectively, all p<0.006). Higher road density and older homes in block groups were more closely associated with higher predicted soil As and Pb concentrations than on-site releases of As and Pb categorized by facility location. These findings suggest that non-Hispanic black mothers in this study population had elevated residential As and Pb soil concentrations, after adjusting for SES, and that soil As and Pb concentrations were not associated with recent industrial releases.
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Affiliation(s)
- Harley T Davis
- Department of Epidemiology and Biostatistics, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - C Marjorie Aelion
- School of Public Health and Health Sciences, University of Massachusetts Amherst, 715 No. Pleasant Street, Amherst, MA 01003, USA.
| | - Jihong Liu
- Department of Epidemiology and Biostatistics, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - James B Burch
- Department of Epidemiology and Biostatistics, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Bo Cai
- Department of Epidemiology and Biostatistics, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Andrew B Lawson
- Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street Suite 303, Charleston, SC 29401, USA
| | - Suzanne McDermott
- Department of Epidemiology and Biostatistics, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
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King KE, Darrah TH, Money E, Meentemeyer R, Maguire RL, Nye MD, Michener L, Murtha AP, Jirtle R, Murphy SK, Mendez MA, Robarge W, Vengosh A, Hoyo C. Geographic clustering of elevated blood heavy metal levels in pregnant women. BMC Public Health 2015; 15:1035. [PMID: 26449855 PMCID: PMC4599656 DOI: 10.1186/s12889-015-2379-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2015] [Accepted: 10/02/2015] [Indexed: 01/06/2023] Open
Abstract
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 Gi* 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 Gi* 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 Gi* 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.
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Affiliation(s)
- Katherine E King
- Biodemography of Aging Research Unit (BARU), Duke University, Room A110C, Erwin Mill Building, 2024 W. Main St, Durham, NC, 27708, USA.
| | - Thomas H Darrah
- Division of Water, Climate, and the Environment, School of Earth Sciences, The Ohio State University, 275 Mendenhall Laboratory, 125th South Oval, Columbus, OH, USA.
| | - Eric Money
- Center for Geospatial Analytics, North Carolina State University, 5125 Jordan Hall, Campus Box 7106, Raleigh, NC, USA.
| | - Ross Meentemeyer
- Center for Geospatial Analytics, North Carolina State University, 5125 Jordan Hall, Campus Box 7106, Raleigh, NC, USA.
| | - Rachel L Maguire
- Department of Biological Sciences, and Center for Human Health and the Environment, North Carolina State University, 850 Man Campus Dr, Campus Box 7633, Raleigh, NC, USA.
| | - Monica D Nye
- Biological Sciences, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC, USA.
| | - Lloyd Michener
- Department of Community and Family Medicine, Duke University, 2200 Main St, Durham, NC, USA.
| | - Amy P Murtha
- Department of Obstetrics and Gynecology, Duke University, 2608 Erwin Rd, Suite 210, Durham, NC, USA.
| | - Randy Jirtle
- Department of Biological Sciences, and Center for Human Health and the Environment, North Carolina State University, 850 Man Campus Dr, Campus Box 7633, Raleigh, NC, USA.
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University, 2608 Erwin Rd, Suite 210, Durham, NC, USA.
| | - Michelle A Mendez
- Department of Nutrition, University of North Carolina, 101 Manning Dr, Chapel Hill, NC, USA.
| | - Wayne Robarge
- Department of Soil Science, North Carolina State University, PO Box 7619, Raleigh, NC, USA.
| | - Avner Vengosh
- Nicholas School of the Environment, Duke University, 450 Research Dr, Durham, NC, USA.
| | - Cathrine Hoyo
- Department of Biological Sciences, and Center for Human Health and the Environment, North Carolina State University, 850 Man Campus Dr, Campus Box 7633, Raleigh, NC, USA.
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Davis HT, Aelion CM, Lawson AB, Cai B, McDermott S. Associations between land cover categories, soil concentrations of arsenic, lead and barium, and population race/ethnicity and socioeconomic status. THE SCIENCE OF THE TOTAL ENVIRONMENT 2014; 490:1051-6. [PMID: 24914533 PMCID: PMC4667981 DOI: 10.1016/j.scitotenv.2014.05.076] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2013] [Revised: 04/15/2014] [Accepted: 05/18/2014] [Indexed: 05/03/2023]
Abstract
The potential of using land cover/use categories as a proxy for soil metal concentrations was examined by measuring associations between Anderson land cover category percentages and soil concentrations of As, Pb, and Ba in ten sampling areas. Land cover category and metal associations with ethnicity and socioeconomic status at the United States Census 2000 block and block group levels also were investigated. Arsenic and Pb were highest in urban locations; Ba was a function of geology. Consistent associations were observed between urban/built up land cover, and Pb and poverty. Land cover can be used as proxy for metal concentrations, although associations are metal-dependent.
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Affiliation(s)
- Harley T Davis
- Department of Epidemiology and Biostatistics, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Department of Environmental Health Sciences, University of South Carolina, 921 Assembly Street, Columbia, SC 29208, USA
| | - C Marjorie Aelion
- Department of Environmental Health Sciences, University of South Carolina, 921 Assembly Street, Columbia, SC 29208, USA; School of Public Health and Health Sciences, University of Massachusetts Amherst, 715 No. Pleasant Street, Amherst, MA 01003, USA.
| | - Andrew B Lawson
- Division of Biostatistics and Epidemiology, Medical University of South Carolina, 135 Cannon Street, Suite 303, Charleston, SC 29425, USA
| | - Bo Cai
- Department of Epidemiology and Biostatistics, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Suzanne McDermott
- Department of Epidemiology and Biostatistics, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
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