Evidence map›Paper›PMID 28823066›Full record

ArticleEnvironmental monitoring and assessment2017

Distribution and health risk assessment to heavy metals near smelting and mining areas of Hezhang, China.

Meryem Briki, Yi Zhu, Yang Gao, Mengmeng Shao, Huaijian Ding, Hongbing Ji

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

14 citing papers in PubMed, 62 citations in OpenAlex.

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4 · The record

Corrections and comments

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

6 authors at 2 institutions in 1 country.

Meryem BrikiSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Xueyuan Road No. 30, Haidian District, Beijing, 100083, People's Republic of China.
Yi ZhuCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
Yang GaoSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Xueyuan Road No. 30, Haidian District, Beijing, 100083, People's Republic of China.
Mengmeng ShaoCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
Huaijian DingSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Xueyuan Road No. 30, Haidian District, Beijing, 100083, People's Republic of China.
Hongbing JiSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Xueyuan Road No. 30, Haidian District, Beijing, 100083, People's Republic of China. ji.hongbing@hotmail.com.
University of Science and Technology Beijing · CNChina Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mining and smelting areas in Hezhang have generated a large amount of heavy metals into the environment. For that cause, an evaluative study on human exposure to heavy metals including Co, Ni, Cu, Zn, Cr, As, Cd, Pb, Sb, Bi, Be, and Hg in hair and urine was conducted for their concentrations and correlations. Daily exposure and non-carcinogenic and carcinogenic risk were estimated. Sixty-eight scalp hair and 66 urine samples were taken from participants of different ages (6-17, 18-40, 41-60, and ≥ 65 years) living in the vicinity of an agricultural soil near mine and smelting areas. The results compared to the earlier studies showed an elevated concentration of Pb, Be, Bi, Co, Cr, Ni, Sb, and Zn in hair and urine. These heavy metals were more elevated in mining than in smelting. Considering gender differences, females were likely to be more affected than male. By investigating age differences in this area, high heavy metal concentrations in male's hair and urine existed in age of 18-40 and ≥ 66, respectively. However, females did not present homogeneous age distribution. Hair and urine showed a different distribution of heavy metals in different age and gender. In some cases, significant correlation was found between heavy metals in hair and urine (P > 0.05 and P > 0.01) in mining area. The estimated average daily intake of heavy metals in vegetables showed a great contribution compared to the soil and water. Non-carcinogenic and carcinogenic risk values of total pathways in mining and smelting areas were higher than 1 and exceeded the acceptable levels. Thus, the obtained data might be useful for further studies. They can serve as a basis of comparison and assessing the effect of simultaneous exposure from heavy metals in mining and smelting areas, and potential health risks from exposure to heavy metals in vegetables need more consideration.

Indexed as

MiningAgricultureChinaEnvironmental ExposureEnvironmental MonitoringFemaleFood ContaminationHairHumansMaleMercuryMetals, HeavyRisk AssessmentSoilSoil PollutantsVegetablesMercuryMetals, HeavySoilSoil PollutantsADDAgeGenderHeavy metalsRisk assessmentScalp hairUrine

Identifiers

PMID28823066
OpenAlexW2746931220

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.