The study aims to investigate occupational exposure to carbon fibers impregnated with epoxy resins (carbon fiber reinforced [CFR]) in workers at an airplane fuselage section construction plant, by environmental and biological monitoring. Determination of airborne CFR was done by environmental sampling with active samplers, 11 of which were stationary and 19 personal samplings. The subsequent analyses were performed in the scanning electron microscope fitted with an X-ray microanalysis system (SEM-EDXA). Biological monitoring was carried out by determining CFR in exhaled breath condensate (EBC) collected from 19 male workers who wore personal environmental samplers (exposed workers) and from 10 male workers at the same factory who had no occupational exposure to CFR (internal controls). CFR analysis was done by SEM, applying the method used for determining asbestos fibers in aqueous samples. The airborne CFR concentrations were found to be significantly higher ( = 0.03) at personal samplings (median value 7.01 ff/L, range 1.24-11.16 ff/L) than stationary samplings (median value 1.93 ff/L, range 0.55-10.09 ff/L). The aerodynamic diameters calculated starting from the length and geometric diameter of the sampled CFRs were always higher than 20 µm. CFR was not found in any of the EBC samples collected from the exposed workers and controls. Despite the evidence of occupational exposure to low concentrations of CFR, the absence of such fibers in the EBC in the exposed workers confirms their non-respirability, as expected based on their aerodynamic diameter.
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http://dx.doi.org/10.1080/08958378.2020.1735582 | DOI Listing |
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFFront Psychol
December 2024
Department of Psychology, University of Turin, Turin, Italy.
Occupational and/or environmental exposure to asbestos can lead to clinical manifestation of a variety of diseases, including malignant mesothelioma (MM), a rare cancer with a particularly high incidence rate in areas with a long history of asbestos processing. This paper aims to describe brief psychoanalytic groups (BPGs), which is an intervention model aimed at MM patients and their families in the early stages of the disease, shortly after diagnosis. The BPG model comprises 12 weekly sessions of 1 h each, co-led by two psychoanalytically oriented psychotherapists who are trained in working with cancer patients and their families and in the specifics of the BPG setting.
View Article and Find Full Text PDFFront Public Health
December 2024
School of Preventive Medicine, Shandong First Medical University (Institute of Radiation Medicine, Shandong Academy of Medical Sciences), Jinan, Shandong, China.
Background: Radon, a colorless and odorless radioactive gas, poses serious health risks. It is the second leading cause of lung cancer and notably increases lung cancer risk in smokers. Although previous epidemiological studies have mainly examined lung cancer rates in miners, the effects of radon on genomic stability and its molecular mechanisms are not well understood.
View Article and Find Full Text PDFToxicol Rep
December 2024
Department of Occupational Health and Ergonomic, Qazvin Medical University, Qazvin, Iran.
Occupational exposures are generally complex, workers are exposed with more than one hazardous agent in work environment. Combined exposure to noise and benzene is common in occupational environments. Sub-acute exposure to benzene vapors can induce oxidative stress in serum.
View Article and Find Full Text PDFPart Fibre Toxicol
December 2024
Division of Cardiology, David Geffen School of Medicine, University of California-Los Angeles, 10833 Le Conte Avenue, CHS 43-264, P.O. Box 951679, Los Angeles, CA, 90095, USA.
Background: Exposure to air pollution is associated with worldwide morbidity and mortality. Diesel exhaust (DE) emissions are important contributors which induce vascular inflammation and metabolic disturbances by unknown mechanisms. We aimed to determine molecular pathways activated by DE in the liver that could be responsible for its cardiometabolic toxicity.
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