Quantitative Analysis of the Factors that Influence Welding Fume Exposure via ART Modelling.

Wei Jiang, Yuan Xu, Mengqi Zhang, Shengxiang Ma

Abstract read

In one paragraph

Article in Safety and health at work, 2025. 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

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2 · The registry

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Wei JiangSchool of Emergency Management and Safety Engineering, China University of Mining & Technology (Beijing), Beijing, China.

Yuan XuSchool of Emergency Management and Safety Engineering, China University of Mining & Technology (Beijing), Beijing, China.

Mengqi ZhangSchool of Emergency Management and Safety Engineering, China University of Mining & Technology (Beijing), Beijing, China.

Shengxiang MaSchool of Emergency Management and Safety Engineering, China University of Mining & Technology (Beijing), Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Welding fumes from industrial operations pose serious health risks. This study aimed to investigate the factors driving changes in welding fume exposure by analyzing key factors using the Advanced REACH Tool (ART) for dust exposure assessment in building materials enterprises. Methods: The dust exposure of 18 building materials enterprises was compared using ART model assessments and measured data. Multiple covariance analysis identified key influencing factors consistent with field conditions. Finally, correlation and regression analyses evaluated the relationships between these factors and dust exposure. Results: The ART model showed the highest agreement with field data at the 95th percentile. Correlation and regression analyses identified moisture content, surface contamination/emissions, and dust particle size as the main influencing factors. Conclusion: Mitigating occupational health risks requires prioritized control of moisture content, followed by dust particle size and surface contamination/emission. Targeted control of these parameters supports actionable strategies to reduce occupational health risks from welding fume exposure.

Indexed as

ARTExposure assessmentInfluencing factorsOccupational exposureWelding operations

Identifiers

PMID41048864

DOI10.1016/j.shaw.2025.06.004

PMCPMC12490664

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LicenceCC BY-NC-ND

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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.