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Stalwick JA, Ratelle M, Gurney KEB, Drysdale M, Lazarescu C, Comte J, Laird B, Skinner K. Sources of exposure to lead in Arctic and subarctic regions: a scoping review. Int J Circumpolar Health 2023; 82:2208810. [PMID: 37196187 DOI: 10.1080/22423982.2023.2208810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 05/19/2023] Open
Abstract
Understanding lead exposure pathways is a priority because of its ubiquitous presence in the environment as well as the potential health risks. We aimed to identify potential lead sources and pathways of lead exposure, including long-range transport, and the magnitude of exposure in Arctic and subarctic communities. A scoping review strategy and screening approach was used to search literature from January 2000 to December 2020. A total of 228 academic and grey literature references were synthesised. The majority of these studies (54%) were from Canada. Indigenous people in Arctic and subarctic communities in Canada had higher levels of lead than the rest of Canada. The majority of studies in all Arctic countries reported at least some individuals above the level of concern. Lead levels were influenced by a number of factors including using lead ammunition to harvest traditional food and living in close proximity to mines. Lead levels in water, soil, and sediment were generally low. Literature showed the possibility of long-range transport via migratory birds. Household lead sources included lead-based paint, dust, or tap water. This literature review will help to inform management strategies for communities, researchers, and governments, with the aim of decreasing lead exposure in northern regions.
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Affiliation(s)
- Jordyn A Stalwick
- Environment and Climate Change Canada, Science and Technology Branch, Prairie and Northern Wildlife Research Centre, Saskatoon, Canada
| | - Mylène Ratelle
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
| | - Kirsty E B Gurney
- Environment and Climate Change Canada, Science and Technology Branch, Prairie and Northern Wildlife Research Centre, Saskatoon, Canada
| | - Mallory Drysdale
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
| | - Calin Lazarescu
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
| | - Jérôme Comte
- Institut National de Recherche Scientifique (INRS), Eau Terre Environnement Centre, Québec, Canada
| | - Brian Laird
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
| | - Kelly Skinner
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
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Dudarev AA, Odland JO. Forty-Year Biomonitoring of Environmental Contaminants in Russian Arctic: Progress, Gaps and Perspectives. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11951. [PMID: 36231249 PMCID: PMC9565585 DOI: 10.3390/ijerph191911951] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/18/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
This article presents a comprehensive survey of the studies on the biomonitoring of persistent organic pollutants (POPs) and metals in biota and human tissues on the territory of the Russian Arctic. It is concluded that a relatively small number of studies were carried out during the last 40 years; for several Russian Arctic regions there is no data up to date, and for some regions the data are scarce, with most of the studies carried out in 1990s, followed by the large-scale GEF/AMAP/RAIPON project of 2001-2004 covering four regions. After that, single projects have been implemented in a few regions. Only the Nenets okrug and the Chukotka okrug (and hardly the Murmansk oblast) can be attributed as the regions where the biomonitoring of contaminants was carried out during last decades on several occasions, and for which the content of POPs and metals in biota and the human organism was assessed in 12-15-year dynamic trends (at least "at three points"). For the rest of the Russian Arctic territories, only fragmentary "cross-sections" of biomonitoring data is available, mainly obtained in the 1990s or early 2000s, which do not allow judging either the dynamics of the processes or the current state of affairs. The overwhelming majority of the studies in the Russian Arctic (more than 90%) were carried out within the framework of international projects, i.e., with cofinancing, assistance and contribution (including laboratory analyses) from the foreign colleagues and partners. The shortcomings of the Russian system of biomonitoring, including the weakness of the laboratory and research base, are considered. Perspectives of the Russian Arctic biomonitoring are discussed in detail, with the proposal of the elaboration of the national Russian Arctic Contaminants Program (RACP).
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Affiliation(s)
- Alexey A. Dudarev
- Northwest Public Health Research Center, 191036 St. Petersburg, Russia
| | - Jon Oeyvind Odland
- Department of Public Health and Nursing, NTNU, The Norwegian University of Science and Technology, 7034 Trondheim, Norway
- Department of General Hygiene, I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia, 119992 Moscow, Russia
- Institute of Ecology, National Research University Higher School of Economics, 101000 Moscow, Russia
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Zhang J, Liu Q, Xu M, Cai J, Wei Y, Lin Y, Mo X, Huang S, Liu S, Mo C, Mai T, Tan D, Lu H, Pang W, Qin J, Zhang Z. Associations Between Plasma Metals and Cognitive Function in People Aged 60 and Above. Biol Trace Elem Res 2022; 200:3126-3137. [PMID: 34647240 DOI: 10.1007/s12011-021-02941-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 09/25/2021] [Indexed: 01/04/2023]
Abstract
The objective of the study was to explore the relationship between the plasma levels of 22 metals and cognition status in older adults aged 60 years and above. A cross-sectional survey was conducted between 2018 and 2019. Inductively coupled plasma mass spectrometry (ICP-MS) was used to detect the concentrations of metals, and a mini-mental state examination (MMSE) questionnaire was used to estimate the cognition status of the elderly. Based on the years of education and MMSE scores, the participants were separated into the normal and impaired cognition groups. Lasso regression, logistic regression, and restricted cubic spline models were used to explore the relationship between the metals and cognitive status. A total of 1667 subjects were included in the study, and 333 (19.97%) of the participants had impaired cognition. Then, 12 metals, including Al, Fe, Ni, Cu, As, Se, Rb, Sr, Mo, Cd, Sn, and Sb were selected by lasso regression. Before the multivariate adjustment, Al and Cu were associated with the risk of increasing cognitive impairment (OR = 1.756, 95% CI: 1.166-2.646, P = 0.007; OR = 1.519, 95% CI: 1.050-2.197, P = 0.026, respectively). By contrast, Rb was associated with a decrease in the risk of cognitive impairment (OR = 0.626, 95% CI: 0.427-0.918, P = 0.017), but Cd was significantly associated with an increase in this risk (OR = 1.456, 95% CI: 1.003-2.114, P = 0.048). After multivariate adjustment, only Al (OR = 1.533, 95% CI: 1.000-2.350, P = 0.050) maintained a borderline difference with the risk of cognitive impairment. A significant positive correlation was found between the risk of cognitive impairment and Al, Cu, and Cd, contrary to the negative correlation found with Rb.
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Affiliation(s)
- Junling Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Qiumei Liu
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Min Xu
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Jiansheng Cai
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Yanfei Wei
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Yinxia Lin
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Xiaoting Mo
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Shenxiang Huang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Shuzhen Liu
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Chunbao Mo
- Department of Occupational Health and Environmental Health, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
| | - Tingyu Mai
- Department of Occupational Health and Environmental Health, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
| | - Dechan Tan
- Department of Occupational Health and Environmental Health, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
| | - Huaxiang Lu
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Weiyi Pang
- Department of Occupational Health and Environmental Health, School of Public Health, Guilin Medical University, Guilin, Guangxi, China
| | - Jian Qin
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
| | - Zhiyong Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
- Department of Occupational Health and Environmental Health, School of Public Health, Guilin Medical University, Guilin, Guangxi, China.
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