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Mambrey V, Rakete S, Tobollik M, Shoko D, Moyo D, Schutzmeier P, Steckling-Muschack N, Muteti-Fana S, Bose-O'Reilly S. Artisanal and small-scale gold mining: A cross-sectional assessment of occupational mercury exposure and exposure risk factors in Kadoma and Shurugwi, Zimbabwe. ENVIRONMENTAL RESEARCH 2020; 184:109379. [PMID: 32197122 DOI: 10.1016/j.envres.2020.109379] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 03/09/2020] [Accepted: 03/10/2020] [Indexed: 06/10/2023]
Abstract
In artisanal and small-scale gold mining (ASGM) the toxic metal mercury is used for gold extraction. The objective of this cross-sectional study was to assess mercury concentrations in urine and blood and mercury-related symptoms of participants identifying themselves as miners from Kadoma and Shurugwi, Zimbabwe. Moreover, we aimed to explore possible risk factors influencing mercury body burden. In 2019, urine and blood samples of 207 participants were collected and analyzed for mercury using atomic absorption spectroscopy. All participants answered questions regarding their exposure risks. The median urine mercury value was 4.75 μg/L with a maximum of 612 μg/L. Median mercury concentration in creatinine corrected urine values was 3.98 μg/g with a maximum value of 478 μg/g. The median blood mercury value was 2.70 μg/L with a maximum of 167 μg/L. Correlations between exposure risks factors such as the lack of retort use and elevated mercury values were demonstrated. ASGM is very common in Zimbabwe. Thus, mercury exposure is a major occupational health risk for miners. Moreover, this study emphasizes the impact of exposure risk factors on the mercury body burden.
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Affiliation(s)
- Viola Mambrey
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, LMU Munich, Munich, Germany; Pettenkofer School of Public Health, Munich, Germany; Institute and Clinic for Occupational, Social- and Environmental Medicine, University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany.
| | - Stefan Rakete
- Institute and Clinic for Occupational, Social- and Environmental Medicine, University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany.
| | - Myriam Tobollik
- Department Environment and Health, School of Public Health, Bielefeld University, Bielefeld, Germany; Section Exposure Assessment and Health Indicators, German Environment Agency, Berlin, Germany.
| | | | - Dingani Moyo
- University of the Witwatersrand, School of Public Health, Faculty of Health Sciences, Occupational Health Division, Johannesburg, South Africa; Midlands State University, Faculty of Medicine & Faculty of Social Sciences, Gweru, Zimbabwe.
| | - Paul Schutzmeier
- Institute and Clinic for Occupational, Social- and Environmental Medicine, University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany.
| | - Nadine Steckling-Muschack
- Institute and Clinic for Occupational, Social- and Environmental Medicine, University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany; Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMITPrivate University for Health Sciences, Medical Informatics and Technology, Hall I.T, Austria.
| | - Shamiso Muteti-Fana
- Department of Community Medicine, UZ College of Health Sciences, Harare, Zimbabwe.
| | - Stephan Bose-O'Reilly
- Institute and Clinic for Occupational, Social- and Environmental Medicine, University Hospital, LMU Munich, Ziemssenstr. 1, D-80336, Munich, Germany; Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMITPrivate University for Health Sciences, Medical Informatics and Technology, Hall I.T, Austria; University Children's Hospital Regensburg (KUNO-Clinics), University of Regensburg, Clinic St. Hedwig, Regensburg, Germany.
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Schlathauer M, Reitsam V, Schierl R, Leopold K. A new method for quasi-reagent-free biomonitoring of mercury in human urine. Anal Chim Acta 2017; 965:63-71. [PMID: 28366213 DOI: 10.1016/j.aca.2017.02.036] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Revised: 01/31/2017] [Accepted: 02/14/2017] [Indexed: 11/16/2022]
Abstract
A novel analytical method for sampling and extraction of mercury (Hg) from human urine is presented in this work. The method is based on selective accumulation and separation of Hg from fresh urine sample onto active nanogold-coated silica material by highly efficient solid-phase extraction. After thermal desorption of Hg from the extractant, detection is performed by atomic fluorescence spectrometry (AFS). The feasibility and validity of the optimized, quasi-reagent-free approach was confirmed by recovery experiments in spiked real urine (recovery rate 96.13 ± 5.34%) and by comparison of found Hg concentrations in real urine samples - originating from occupationally exposed persons - with values obtained from reference methods cold vapor - atomic absorption spectrometry (CVAAS) and cold vapor - atomic fluorescence spectrometry (CV-AFS). A very good agreement of the found values reveals the validity of the proposed approach. The limit of detection (LOD) was found to be as low as 0.004 μg Hg L-1 and a high reproducibility with a relative standard deviations ≤4.2% (n = 6) is given. Moreover, storage of the samples for up to one week at an ambient temperature of 30 °C reveals no analyte losses or contamination. In conclusion, the proposed method enables easy-to-handle on-site extraction of total Hg from human urine ensuring at the same time reagent-free sample stabilization, providing quick and safe sampling, which can be performed by untrained persons.
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Affiliation(s)
- Maria Schlathauer
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Ulm, Germany
| | - Verena Reitsam
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Ulm, Germany
| | - Rudolf Schierl
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital Munich, Germany
| | - Kerstin Leopold
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Ulm, Germany.
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Schutzmeier P, Berger U, Bose-O'Reilly S. Gold Mining in Ecuador: A Cross-Sectional Assessment of Mercury in Urine and Medical Symptoms in Miners from Portovelo/Zaruma. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 14:E34. [PMID: 28042847 PMCID: PMC5295285 DOI: 10.3390/ijerph14010034] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2016] [Revised: 12/13/2016] [Accepted: 12/21/2016] [Indexed: 11/16/2022]
Abstract
Mercury is a toxic metal and is used in small scale gold mining. In Portovelo, Ecuador, mercury has been an environmental and health problem for decades. The target of this study was to assess the mercury concentration in the urine of miners from Portovelo/Zaruma to establish a prevalence of high values. Eight hundred and sixty-five (865) urine samples were collected and analysed for their mercury content, using cold vapor atom absorption spectroscopy. The prevalence of high mercury values (>25 μg/L) was estimated. Forty-four (44) miners with mercury levels >15 μg/L filled in a questionnaire for characteristics and possible confounders, and were examined for intoxication symptoms to establish the ten points medical score sum. The median urine value was 1.8 μg/L; 78.3% of miners were below 7 μg/L and were not at risk of an intoxication, whereas 5.9% of miners exceeded the limit of 25 μg/L and were probable to experience intoxication symptoms. The medical score sum had a range of 2 to 8 points with a median of 6. The low prevalence of high mercury concentrations shows that the politics and techniques to eliminate the use of mercury are being successfully implemented. Further studies are needed to identify factors enabling this process.
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Affiliation(s)
- Paul Schutzmeier
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, WHO Collaborating Centre for Occupational Health, University Hospital Munich, Munich 80336, Germany.
- Department of Medical Information Sciences, Biometrics, and Epidemiology IBE, Ludwig-Maximilians-University Munich, Munich 81377, Germany.
| | - Ursula Berger
- Department of Medical Information Sciences, Biometrics, and Epidemiology IBE, Ludwig-Maximilians-University Munich, Munich 81377, Germany.
| | - Stephan Bose-O'Reilly
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, WHO Collaborating Centre for Occupational Health, University Hospital Munich, Munich 80336, Germany.
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT (University for Health Sciences, Medical Informatics and Technology), Eduard Wallnoefer Center I, A-6060 Hall i.T., Innsbruck 6060, Austria.
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Doering S, Bose-O’Reilly S, Berger U. Essential Indicators Identifying Chronic Inorganic Mercury Intoxication: Pooled Analysis across Multiple Cross-Sectional Studies. PLoS One 2016; 11:e0160323. [PMID: 27575533 PMCID: PMC5004870 DOI: 10.1371/journal.pone.0160323] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Accepted: 07/18/2016] [Indexed: 11/18/2022] Open
Abstract
Background The continuous exposure to inorganic mercury vapour in artisanal small-scale gold mining (ASGM) areas leads to chronic health problems. It is therefore essential to have a quick, but reliable risk assessing tool to diagnose chronic inorganic mercury intoxication. This study re-evaluates the state-of-the-art toolkit to diagnose chronic inorganic mercury intoxication by analysing data from multiple pooled cross-sectional studies. The primary research question aims to reduce the currently used set of indicators without affecting essentially the capability to diagnose chronic inorganic mercury intoxication. In addition, a sensitivity analysis is performed on established biomonitoring exposure limits for mercury in blood, hair, urine and urine adjusted by creatinine, where the biomonitoring exposure limits are compared to thresholds most associated with chronic inorganic mercury intoxication in artisanal small-scale gold mining. Methods Health data from miners and community members in Indonesia, Tanzania and Zimbabwe were obtained as part of the Global Mercury Project and pooled into one dataset together with their biomarkers mercury in urine, blood and hair. The individual prognostic impact of the indicators on the diagnosis of mercury intoxication is quantified using logistic regression models. The selection is performed by a stepwise forward/backward selection. Different models are compared based on the Bayesian information criterion (BIC) and Cohen`s kappa is used to evaluate the level of agreement between the diagnosis of mercury intoxication based on the currently used set of indicators and the result based on our reduced set of indicators. The sensitivity analysis of biomarker exposure limits of mercury is based on a sequence of chi square tests. Results The variable selection in logistic regression reduced the number of medical indicators from thirteen to ten in addition to the biomarkers. The estimated level of agreement using ten of thirteen medical indicators and all four biomarkers to diagnose chronic inorganic mercury intoxication yields a Cohen`s Kappa of 0.87. While in an additional stepwise selection the biomarker blood was not selected, the level of agreement based on ten medical indicators and only the three biomarkers urine, urine/creatinine and hair reduced Cohen`s Kappa to 0.46. The optimal cut-point for the biomarkers blood, hair, urine and urine/creatinine were estimated at 11. 6 μg/l, 3.84 μg/g, 24.4 μg/l and 4.26 μg/g, respectively. Conclusion The results show that a reduction down to only ten indicators still allows a reliable diagnosis of chronic inorganic mercury intoxication. This reduction of indicators will simplify health assessments in artisanal small-scale gold mining areas.
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Affiliation(s)
- Stefan Doering
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, WHO Collaborating Centre for Occupational Health, University Hospital Munich, Munich, Germany
- Department of Medical Information Sciences, Biometrics, and Epidemiology IBE, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Stephan Bose-O’Reilly
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, WHO Collaborating Centre for Occupational Health, University Hospital Munich, Munich, Germany
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT (University for Health Sciences, Medical Informatics and Technology), Hall i.T., Innsbruck, Austria
- * E-mail:
| | - Ursula Berger
- Department of Medical Information Sciences, Biometrics, and Epidemiology IBE, Ludwig-Maximilians-University Munich, Munich, Germany
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