Evidence map›Paper›PMID 35064383›Full record

ArticleEnvironmental geochemistry and health2022

Soil contamination and health risk assessment from heavy metals exposure near mining area in Bac Kan province, Vietnam.

Thanh Son Tran, Viet Chien Dinh, Thi Anh Huong Nguyen, Kyoung-Woong Kim

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Article in Environmental geochemistry and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Thanh Son TranSchool of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, South Korea.
Viet Chien DinhHeavy Metals and Minerals Laboratory, National Institute for Food Control (NIFC), 65 Pham Than Duat, Hanoi, Vietnam.
Thi Anh Huong NguyenFaculty of Chemistry, University of Science, Vietnam National University, Hanoi, 19 Le Thanh Tong, Hoan Kiem, Ha Noi, Vietnam.
Kyoung-Woong KimSchool of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, South Korea. kwkim@gist.ac.kr.ORCID http://orcid.org/0000-0001-5397-0594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mining activities in Vietnam have resulted in potential heavy metals contamination, which unfavorably influences soil quality and represents a risk to human health. This study was designed to investigate the heavy metals contamination in the vicinity of the Pb-Zn and Au mines. Soil samples were collected along the stream, and then, solutions were prepared by a modified Aqua Regia method. They were analyzed by ICP-MS for trace elements, and the analytical result data of 7 elements (As, Cd, Co, Cu, Ni, Pb, and Zn) were used to define pollution indices with statistical results and to interpret the health risk assessment. For the preliminary identification of the pollution sources near the Pb-Zn mine of the elements, statistical analysis (including principal component analysis and Spearman correlation coefficient) and information about mineral composition ore and surrounding rocks were applied. The analytical results of heavy metals showed that the average concentrations of As and Pb were higher than the Vietnam standard for residential soil by about eight and three times, respectively. Pollution indices also indicated that Pb and As were the highest contamination factors in the soil near Pb-Zn mine and Au mine, respectively. Statistical analysis results revealed that the pollution sources of these elements in the soil near the Pb-Zn mine were a combination of anthropogenic and geogenic sources. Health risk assessment pointed out that children were at higher risk than adults in both non-carcinogenic and carcinogenic risk.

Indexed as

Metals, HeavySoil PollutantsAdultChildChinaEnvironmental MonitoringHumansRisk AssessmentSoilVietnamMetals, HeavySoilSoil PollutantsHealth risk assessmentHeavy metals contaminationMining areaPollution indicesSoilStatistical approach

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.