Evidence map›Paper›PMID 28988285›Full record

ArticleEnvironmental science and pollution research international2017

Human biomonitoring of eight trace elements in urine of residents living in rural areas along the Yangtze River, China.

Yanjie Cui, Qi Zhong, Mingjun Hu, Jie Sheng, Yuanyuan Yang, Ling Liang, Xiaodong Wang, Yuwei Yang, Mengmeng Zhou, Fen Huang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Association of exposure to multiple metals with papillary thyroid cancer risk in China.Environmental science and pollution research international · 2019
    Article
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

10 authors.

Yanjie CuiDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China.
Qi ZhongDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China.
Mingjun HuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China.
Jie ShengCentral Laboratory of Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.
Yuanyuan YangCentral Laboratory of Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China.
Ling LiangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China.
Xiaodong WangDepartment of Infectious Disease Control and Prevention, Center for Disease Control and Prevention of Tongling County, Tongling, Anhui, 244000, China.
Yuwei YangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China.
Mengmeng ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China.
Fen HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan Districts, Hefei, Anhui, 230032, China. fenh@ahmu.edu.cn.

Funding

National Natural Science Foundation of China 81373071
6 · The paper itself

Abstract

The rapid economic development and industrialization have made heavy metal contamination a great public concern, especially in China. However, the levels of heavy metals in human body, especially those susceptible to the effect of industrial progression, are rarely explored. In this study, eight elements in 2643 urinary samples of individuals living in rural areas along the Yangtze River were determined through inductively coupled plasma optical emission spectrometry (As, Cr, Cu, Fe, Mn, Pb, and Zn) and TAS-990 atomic absorption spectrophotometry (Cd). Two-level regression model was applied to explore the potential factors associated with the level of the eight trace elements. After adjusting for urinary creatinine, the geometric means were 77.5, 10.98, 14.39, 13.00, 0.59, 1.51, 489.62, and 1.80 μg/g for As, Cr, Cu, Fe, Mn, Pb, Zn, and Cd, respectively. The level of eight elements varied among individual and familial characteristics. Compared with domestic and international results, the rural residents living in riverside areas had higher level of As, Cd, Cr, Fe, and Zn. Therefore, industrial progression followed by economic development has resulted in high body burden of heavy metals. Targeted public health policies should be made to improve the local environment and the recognition of potential risk factors.

Indexed as

ChinaEnvironmental MonitoringHumansMetals, HeavyRisk AssessmentRisk FactorsRiversRural PopulationSpectrophotometry, AtomicTrace ElementsWater Pollutants, ChemicalMetals, HeavyTrace ElementsWater Pollutants, ChemicalHeavy metalsHuman biomonitoringIndustrial pollutionThe Yangtze RiverTrace elementsUrine

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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.