Objective: The aim of the current study was to assess the relation between occupational exposure to solvents and the risk of acute myeloid leukemia (AML).
Methods: Altogether, this study comprises 15 332 incident cases of AML diagnosed in Finland, Norway, Sweden and Iceland from 1961-2005 and 76 660 controls matched by year of birth, sex, and country. Occupational records were linked with Nordic Occupational Cancer Study job exposure matrix (JEM) to estimate quantitative values for 26 occupational exposure factors. Hazard ratios (HR) with 95% confidence intervals (95% CI) were estimated by using conditional logistic regression models.
Results: We did not observe statistically significantly increased risk for exposure to any of the solvents. HR estimates for high levels of toluene (HR 1.35, 95% CI 0.74-2.46), aromatic hydrocarbon solvents (ARHC) (HR 1.18, 95% CI 0.76-1.86), and moderate-to-high levels of trichloroethylene were slightly but non-significantly elevated. We did not observe an association between benzene exposure and AML in this study.
Conclusions: This study did not provide clear evidence for an association between occupational solvent exposure and AML. There was some indication for an excess risk in the groups of workers exposed to toluene, trichloroethylene and ARHC.
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http://dx.doi.org/10.5271/sjweh.3436 | DOI Listing |
Toxicol Mech Methods
January 2025
Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, India.
Endocrine-disrupting chemicals (EDCs) significantly contribute to health issues by interfering with hormonal functions. Bisphenol A (BPA), a prominent EDC, is extensively utilized as a monomer and plasticizer in producing polycarbonate plastic and epoxy resins, making it one of the highest-demanded chemicals in commercial use. This is the major component used in plastic products, including bottles, containers, storage items, and food serving ware.
View Article and Find Full Text PDFBiometrics
January 2025
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC H3A 1G1, Canada.
Effect modification occurs when the impact of the treatment on an outcome varies based on the levels of other covariates known as effect modifiers. Modeling these effect differences is important for etiological goals and for purposes of optimizing treatment. Structural nested mean models (SNMMs) are useful causal models for estimating the potentially heterogeneous effect of a time-varying exposure on the mean of an outcome in the presence of time-varying confounding.
View Article and Find Full Text PDFTob Control
January 2025
Department of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, Pennsylvania, USA
Introduction: Although numerous studies have estimated the inhalation dose of metals emitted from electronic cigarettes (e-cigs), the impact of factors including aerosol size and the atomising power of e-cig aerosols on estimating the inhalation dose of metals remains underexplored. A comprehensive understanding of these determinants is essential to assess the health risks associated with inhaling e-cig aerosols, which may contain potentially harmful metals.
Objectives: The aim of this study is to elucidate the mass and inhalation doses of potentially harmful metals in e-cig aerosols by different particle size and their association with the various atomising powers of e-cig devices and flavours.
J Rheumatol
January 2025
Dr Daphne Williams, PharmD, Bristol Myers Squibb, Princeton, NJ, USA.
Objective: To determine if higher serum exposure during subcutaneous (SC) abatacept treatment was associated with an increased infection risk in adult patients with early rheumatoid arthritis (RA).
Methods: Data from AVERT-2 (Assessing Very Early Rheumatoid arthritis Treatment-2, NCT02504268), a randomized, placebo-controlled study in anticitrullinated protein antibody- positive patients with early RA, were analyzed. A post hoc population pharmacokinetic (PPK) analysis was performed.
Environ Int
January 2025
Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080 China. Electronic address:
Background: Exposure to fine particulate matter (PM) has been linked to visual impairment. Nevertheless, evidence associating PM constituents with visual impairment in schoolchildren is sparse.
Objectives: To explore the effects of long-term exposure to PM and its constituents on visual impairment.
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