Evidence map›Paper›PMID 41883834›Full record

ArticleFrontiers in public health2026

Latent class analysis of association between occupational hazard factors and gamma-glutamyltransferase in automobile manufacturing workers: a cross-sectional study.

Huixia Ji, Dandan Liu, Ye Chen

Abstract read
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Article in Frontiers in public health, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Huixia JiDepartment of Occupational Disease, Nanjing Prevention and Treatment Center for Occupational Diseases, Nanjing, Jiangsu, China.
Dandan LiuDepartment of Occupational Disease, Nanjing Prevention and Treatment Center for Occupational Diseases, Nanjing, Jiangsu, China.
Ye ChenDepartment of Occupational Disease, Nanjing Prevention and Treatment Center for Occupational Diseases, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Workers in the automobile manufacturing industry are potentially exposed to various occupational hazards that may impact serum gamma-glutamyltransferase (GGT) levels. Objective: This study aims to investigate the elevated serum GGT levels among workers in a automobile manufacturing plant and the impact of occupational hazards on GGT levels. Methods: Based on occupational health examination data collected from April to December 2024 from automobile manufacturing plant workers, this study classified nine major occupational hazards into five classes based on latent class analysis. Multivariate logistic regression was then applied to identify factors associated with elevated GGT levels, followed by subgroup analysis. Results: 129 workers (17.9%) in this automobile manufacturing plant had elevated serum GGT levels. Primary occupational hazard exposures were classified into five distinct classes using latent class analysis: Class 1: low exposure, Class 2: noise exposure, Class 3: organic toxicants exposures, Class 4: dust exposures and Class 5: noise and harmful gases exposures. In multivariate logistic regression analysis, workers exposed to organic toxicants or noise were significantly more likely to have elevated GGT levels, with adjusted odds ratios (ORs) of 2.08 [95% confidence interval (CI): 1.09-4.16] and 2.65 (95% CI: 1.28-5.67), respectively. In subgroup analysis, workers exposed to Class 3 hazards in non-smoking and overweight-obese workers showed a significantly higher risk of elevated GGT levels, whereas workers exposed to Class 2 hazards showed a similar trend. Conclusions: The prevalence of elevated serum GGT levels among workers in automobile manufacturing plants is relatively high. Organic toxicants and noise may affect workers' serum GGT levels.

Indexed as

Automobilesgamma-GlutamyltransferaseManufacturing IndustryOccupational ExposureAdultCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleMiddle AgedRisk FactorsWorking Conditionsgamma-Glutamyltransferasegamma-glutamyltranspeptidaseharmful gaseslatent class analysisnoiseoccupational hazard factorsorganic toxins

Identifiers

PMID41883834
PMCPMC13008871

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LicenceCC BY
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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.