Evidence map›Paper›PMID 32492875›Full record

ArticleInternational journal of environmental research and public health2020

Emission-related Heavy Metal Associated with Oxidative Stress in Children: Effect of Antioxidant Intake.

Brittany Killian, Tzu-Hsuen Yuan, Cheng-Hsien Tsai, Tina H T Chiu, Yi-Hsuan Chen, Chang-Chuan Chan

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. JMIR research protocols · 2025
    Article
  2. Article
  3. Oxidative Stress in Children and Adolescents: Insights Into Human Biology.American journal of human biology : the official journal of the Human Biology Council · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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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 3 institutions in 1 country.

Brittany KillianMaster of Public Health Degree Program, College of Public Health, National Taiwan University, No. 17, Xu-Zhou Road, Taipei 10055, Taiwan.
Tzu-Hsuen YuanInstitute of Environmental and Occupational Health Science, College of Public Health, National Taiwan University, No. 17, Xu-Zhou Road, Taipei 10055, Taiwan.
Cheng-Hsien TsaiNational Taiwan University Hospital, Yunlin Branch, No.579, Sec. 2, Yunlin Rd., Douliu City, Yunlin County 64041, Taiwan.
Tina H T ChiuDepartment of Nutritional Science, Fu-Jen Catholic University, No. 510, Zhongzheng Rd., Xinzhang Dist., New Taipei City 24205, Taiwan.
Yi-Hsuan ChenInstitute of Environmental and Occupational Health Science, College of Public Health, National Taiwan University, No. 17, Xu-Zhou Road, Taipei 10055, Taiwan.
Chang-Chuan ChanInstitute of Environmental and Occupational Health Science, College of Public Health, National Taiwan University, No. 17, Xu-Zhou Road, Taipei 10055, Taiwan.
National Taiwan University · TWFu Jen Catholic University · TWNational Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heavy metals, the common pollutants emitted from industrial activities, are believed to cause harmful effects, partially through the mechanism of elevated oxidative stress, and antioxidant intake has been hypothesized to provide a potential protective effect against oxidative stress. This study aims to investigate the heavy metal exposure and the associated oxidative damage of young children living near a petrochemical complex and to assess the protective effect of antioxidant intake. There were 168 children recruited from the kindergartens near a huge petrochemical complex, with 87 as the high exposure group and 81 as the low exposure group. Urinary concentrations of eleven metals were detected by inductively coupled plasma mass spectrometry, and four biomarkers of oxidative stress were measured in urine by liquid chromatography-tandem mass spectrometry. The food frequency questionnaire was collected to assess participants' intake of antioxidants. Multiple linear regression was performed to determine the predictors of metals for oxidative stress and to measure the beneficial effect of antioxidants. Weighted quantile sum regression was performed to determine the contributors among metals to the oxidative stress. Results showed that high exposure group had significantly higher concentrations of chromium, manganese, nickel, arsenic, strontium, cadmium, and lead when compared to those in low exposure group. There was no obviously difference on the total antioxidant intake and dietary profile between two groups. The elevated levels of two oxidative stress markers were significantly associated with most of the urinary metal concentrations in all study subjects after adjusting confounders, while no significant association was found between oxidative stress and antioxidant intake. Among the metals, mercury and strontium showed the dominated contributions for elevated levels of oxidative stress. It concluded that higher metal exposure was associated with elevated oxidative stress but with no protective effect by antioxidant intake among the young children residents near a petrochemical industry.

Indexed as

AntioxidantsEnvironmental ExposureEnvironmental PollutantsMetals, HeavyArsenicChildChild, PreschoolDietHumansOxidative StressAntioxidantsArsenicEnvironmental PollutantsMetals, Heavyantioxidantsheavy metalsindustrial pollutionoxidative stressyoung children

Identifiers

PMID32492875
PMCPMC7312654
OpenAlexW3032204256

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.