Evidence map›Paper›PMID 38442720›Full record

ArticleJournal of Korean medical science2024

Association Between Multiple Heavy Metal Exposures and Cholesterol Levels in Residents Living Near a Smelter Plant in Korea.

Sun-In Moon, Dong-Hyuk Yim, Kyunghi Choi, Sang-Yong Eom, Byung-Sun Choi, Jung-Duck Park, Heon Kim, Yong-Dae Kim

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

8 authors at 2 institutions in 1 country.

Sun-In MoonChungbuk Environmental Health Center, Chungbuk National University Hospital, Cheongju, Korea.ORCID https://orcid.org/0000-0003-4485-5089
Dong-Hyuk YimDepartment of Preventive Medicine, College of Medicine, Chungbuk National University, Cheongju, Korea.ORCID https://orcid.org/0000-0002-7230-0729
Kyunghi ChoiDepartment of Preventive Medicine, College of Medicine, Chungbuk National University, Cheongju, Korea.ORCID https://orcid.org/0000-0002-6546-9323
Sang-Yong EomChungbuk Environmental Health Center, Chungbuk National University Hospital, Cheongju, Korea.ORCID https://orcid.org/0000-0002-4559-8152
Byung-Sun ChoiDepartment of Preventive Medicine, College of Medicine, Chung-Ang University, Seoul, Korea.ORCID https://orcid.org/0000-0001-9895-7123
Jung-Duck ParkDepartment of Preventive Medicine, College of Medicine, Chung-Ang University, Seoul, Korea.ORCID https://orcid.org/0000-0003-0667-4674
Heon KimChungbuk Environmental Health Center, Chungbuk National University Hospital, Cheongju, Korea.ORCID https://orcid.org/0000-0003-0329-5249
Yong-Dae KimChungbuk Environmental Health Center, Chungbuk National University Hospital, Cheongju, Korea.ORCID https://orcid.org/0000-0003-4671-8045
Chungbuk National University · KRChung-Ang University · KR

Funding

Seocheon County and the National Institute of Environmental Research 2008-07-957
6 · The paper itself

Abstract

backgroundConsidering the interactions between heavy metals, a comprehensive evaluation of the effects of exposure to various types of co-interacting heavy metals on health is required. This study assessed the association between dyslipidemia markers and blood mercury, lead, cadmium, iron, zinc, and nickel levels in residents of an abandoned refinery plant.

methodsA total of 972 individuals (exposed group: 567, control group: 405) living near the Janghang refinery plant in the Republic of Korea were included. Blood mercury, lead, cadmium, iron, zinc, nickel, cholesterol, and triglyceride levels were measured. The combined effect of the six heavy metals on dyslipidemia markers was evaluated using a Bayesian kernel machine regression (BKMR) model and compared with the results of a linear regression analysis. The BKMR model results were compared using a stratified analysis of the exposed and control groups.

resultsIn the BKMR model, the combined effect of the six heavy metals was significantly associated with total cholesterol (TC) levels both below the 45th percentile and above the 55th percentile in the total population. The combined effect range between the 25th and 75th percentiles of the six metals on TC levels was larger in the exposed group than that in the total population. In the control group, the combined effects of the changes in concentration of the six heavy metals on the TC concentration were not statistically significant.

conclusionThese results suggest that the cholesterol levels of residents around the Janghang refinery plant may be elevated owing to exposure to multiple heavy metals.

Indexed as

DyslipidemiasMercuryMetals, HeavyBayes TheoremCadmiumHumansIronNickelRepublic of KoreaZincCadmiumIronMercuryMetals, HeavyNickelZincBKMR AnalysisDyslipidemiaHeavy MetalsRefinery Plant

Identifiers

PMID38442720
PMCPMC10911942
OpenAlexW4391827554

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.