Evidence map›Paper›PMID 39386954›Full record

ArticleFrontiers in public health2024

Association between urinary mixture metal levels and olfactory function in coal miners.

Yang Li, Yuxuan Jiao, Rong Hu, Guilin Hu, Ge Shi, Kaidong Wang, Ai Qi, Yujing Li, Yonghang Li, Zhuoheng Shen and 5 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

15 authors.

Yang Li *School of Public Health, Ningxia Medical University, Yinchuan, China.
Yuxuan Jiao *School of Public Health, Ningxia Medical University, Yinchuan, China.
Rong HuSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Guilin HuSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Ge ShiSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Kaidong WangSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Ai QiSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Yujing LiSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Yonghang LiSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Zhuoheng ShenSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Jiafei YangSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Zhiyun HaSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Yaowen YangSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Jiangping LiSchool of Public Health, Ningxia Medical University, Yinchuan, China.
Min HuangSchool of Public Health, Ningxia Medical University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Exposure to occupational metallic mixtures has a potential impact on olfactory function. However, research evidence is limited on the potential impact of exposure to metallic mixtures and olfactory dysfunction. Furthermore, the coal dust generated contains multiple various metals during coal mining, and no study yet has focus on the olfactory dysfunction of coal miners. Objectives: In this study, we evaluate the association between urinary metallic mixtures and olfactory function in coal miners, while also exploring the potential applicability of plasma olfactory marker protein (OMP) as a biomarker for assessing olfaction. Methods: From July to October 2023, coal workers from seven different coal mining enterprises were recruited for the survey when they come for the employee health checkup. Ultimately, 376 participants were met the inclusion criteria and, respectively, determined with the concentrations of urine (16 metals) and plasma (OMP). Meanwhile, applying UPSIT to access their olfactory function. Binary logistic regression and restricted cubic spline (RCS) model were used to estimate the association of individual metals with olfactory function. Bayesian kernel machine regression (BKMR) and Quantile g-computation (QG-C) regression were employed to assess the overall association between metal mixtures and olfactory function and identify the major contributing elements. Results: In a single-metal model, two metals in urine were found to be significantly associated with olfactory function. RCS analysis further revealed that the association between Iron (Fe) and olfactory function was linear, while Lead (Pb) exhibited a non-linear. The BKMR model demonstrated a significant positive association between metal mixture concentration and olfactory function. Combined QG-C regression analysis suggested that metals Cr, Fe, Se, Sb, and Pb could impact the performance of the olfactory test (UPSIT), with Pb being identified as the most influential contributor. The correlation between plasma OMP protein levels and urinary metal concentrations was weak. Conclusion: Multiple metals are associated with olfactory function in the coal miners. A significant positive association was observed between metal mixture concentrations and olfactory function, with Pb being the most important contributor. In this study, plasma OMP has not been demonstrated to serve as a biomarker for olfactory function.

Indexed as

Coal MiningOccupational ExposureAdultBiomarkersChinaFemaleHumansMaleMetalsMiddle AgedMinersOlfaction DisordersBiomarkersMetalsBayesian kernel machine regressioncoal minersMetal mixtureoccupational exposureolfaction disordersquantile g-computationUPSIT

Identifiers

PMID39386954
PMCPMC11461330

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LicenceCC BY
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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.