Evidence map›Paper›PMID 25514155›Full record

ArticleInternational journal of environmental research and public health2014

Urinary concentrations of toxic and essential trace elements among rural residents in Hainan Island, China.

Yosuke Inoue, Masahiro Umezaki, Hongwei Jiang, Dandan Li, Jianwei Du, Yuming Jin, Bin Yang, Bai Li, Yufeng Li, Chiho Watanabe

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

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  9. Blood markers among residents from a coal mining area.Environmental science and pollution research international · 2021
    Article
  10. Hair Metal Levels and Childhood Weight Gain.Iranian journal of public health · 2020
    Article
  11. Article
  12. 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 at 4 institutions in 2 countries.

Yosuke InoueDepartment of Human Ecology, Graduate School of Medicine, the University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. inoyo@humeco.m.u-tokyo.ac.jp.
Masahiro UmezakiDepartment of Human Ecology, Graduate School of Medicine, the University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. umezaki@humeco.m.u-tokyo.ac.jp.
Hongwei JiangResearch Institute for Humanity and Nature, 457-4 Motoyama, Kamigamo, Kita-ku, Kyoto 603-8047, Japan. jianghw@gmail.com.
Dandan LiHainan Provincial Center for Disease Control and Prevention, 44 Haifu Road, Haikou, Hainan 57023, China. adanleee0898@gmail.com.
Jianwei DuHainan Provincial Center for Disease Control and Prevention, 44 Haifu Road, Haikou, Hainan 57023, China. djwei22@sohu.com.
Yuming JinHainan Provincial Center for Disease Control and Prevention, 44 Haifu Road, Haikou, Hainan 57023, China. jym1030@126.com.
Bin YangHainan Provincial Center for Disease Control and Prevention, 44 Haifu Road, Haikou, Hainan 57023, China. ybdoctor@163.com.
Bai LiInstitute of High Energy Physics, Chinese Academy of Science, 19B Yuquan Road, Shijingshan District, Beijing 100049, China. libai@ihep.ac.cn.
Yufeng LiInstitute of High Energy Physics, Chinese Academy of Science, 19B Yuquan Road, Shijingshan District, Beijing 100049, China. liyf@ihep.ac.cn.
Chiho WatanabeDepartment of Human Ecology, Graduate School of Medicine, the University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. chiho@humeco.m.u-tokyo.ac.jp.
Hainan Center for Disease Control & Prevention · CNThe University of Tokyo · JPInstitute of High Energy Physics · CNResearch Institute for Humanity and Nature · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundToxic element exposure and essential trace element consumption may have changed after the Chinese economy transformed to a market-oriented system. The objectives of this study were to measure urinary concentrations of toxic (arsenic, cadmium, lead) and essential trace (selenium, zinc, copper) elements among rural residents in Hainan, China and to examine if variations in economic development are linked to differences in toxic and trace element exposure.

methodsWe conducted a questionnaire-based survey and undertook anthropometric measurements of residents aged ≥20 years (n = 599). Urinary samples were collected and analyzed using inductively coupled plasma mass spectrometry.

resultsThe median (μg/g creatinine) element concentrations were: arsenic, 73.2; cadmium, 1.8; lead, 3.1; selenium, 36.5; zinc, 371; and copper, 11.0. Intra-community variation in element concentrations was explained by age (arsenic, cadmium, zinc and copper), sex (arsenic, cadmium and selenium: higher in females; zinc: higher in males), body mass index (cadmium) and individual involvement in the market economy as indexed by agrochemical use (lead and selenium). The degree of community-level economic development, which was determined by the proportion of people living in better housing among the study communities, was positively associated with cadmium concentration.

conclusionsThe degree of community-level economic development was positively associated with urinary cadmium concentration while individual involvement in the market economy was positively associated with lead and selenium.

Indexed as

Environmental ExposureAdultArsenicChinaEnvironmental MonitoringEnvironmental PollutantsFemaleHumansMaleMetals, HeavyMiddle AgedRural PopulationSeleniumSocioeconomic FactorsYoung AdultArsenicEnvironmental PollutantsMetals, HeavySelenium

Identifiers

PMID25514155
PMCPMC4276661
OpenAlexW2094782405

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.