Mixed Exposure to Underground Air Pollutants and Metabolic Syndrome in Coal Miners: A Cross-Sectional Study Integrating Multi-Pollutant Models and Urinary Metabolomics.

Jia Wang, Shuying Chen, Chenyi Wang, Wenwen Li, Yuanjie Zou, Fenglin Zhu, Min Mu

Abstract read

In one paragraph

Article in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jia WangThe First Hospital of Anhui University of Science and Technology, Huainan 232001, China.ORCID 0000-0003-4783-1074

Shuying ChenSchool of Public Health, Anhui University of Science and Technology, Huainan 232001, China.

Chenyi WangSchool of Public Health, Anhui University of Science and Technology, Huainan 232001, China.

Wenwen LiSchool of Public Health, Anhui University of Science and Technology, Huainan 232001, China.

Yuanjie ZouSchool of Public Health, Anhui University of Science and Technology, Huainan 232001, China.

Fenglin ZhuThe First Hospital of Anhui University of Science and Technology, Huainan 232001, China.

Min MuSchool of Public Health, Anhui University of Science and Technology, Huainan 232001, China.

Funding

Anhui Provincial Department of Education 2023AH051229Clinical Medical Research Transformation Project of Anhui Province NO. 202427b10020108Medical Specialty Program of Anhui University of Science and Technology YZ2023H1B008, YZ2023H2C016

6 · The paper itself

Abstract

To investigate the associations between single and mixed exposure to air pollutants in underground coal mine environments and the risk of metabolic syndrome (MetS) among workers, we conducted a cross-sectional study. Multivariable logistic regression, Bayesian kernel machine regression (BKMR), and quantile-based g-computation (Qgcomp) were used to evaluate the joint effects of mixed pollutant exposures and to identify the major contributing components. In addition, untargeted urinary metabolomics analysis was performed to explore the potential biological mechanisms. After adjusting for confounding factors, logistic regression analysis revealed that exposure to coal dust (CD), carbon monoxide (CO), carbon dioxide (CO

Indexed as

air pollutant exposuremetabolic syndromemetabolomicsmines

Identifiers

PMID42797665

DOI10.3390/toxics14090746

What OpenQuestion holds

Textmetadata

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Registered trials

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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.