Objectives It is still not well established how occupational air pollutants affect the prognosis of asthma or chronic obstructive pulmonary disease (COPD). This study uses nationwide Danish registers and quantitative dust industry exposure matrices (IEM) for the farming and wood industries to estimate whether previous year dust exposure level impacts hospital readmissions for workers diagnosed with asthma or COPD. Methods We identified all individuals with a first diagnosis of either asthma (769 individuals) or COPD (342 individuals) between 1997 and 2007 and followed them until the next hospital admission for asthma or COPD, emigration, death or 31 December 2007. We included only individuals who worked in either the wood or farming industries at least one year during follow-up. We used logistic regression analysis to investigate associations between dust exposure level in the previous year and hospital readmission, adjusting for sex, age, time since first diagnosis, socioeconomic status, and labor force participation. Results Asthma readmissions for individuals with low and high dust exposure were increased [adjusted rate ratio (RR ) 2.52, 95% confidence interval (CI) 1.45-4.40] and RR 2.64 (95% CI 1.52-4.60), respectively. For COPD readmission, the risk estimates were RR 1.36 (95% CI 0.57-3.23) for low and RR 1.20 (95% CI 0.49-2.95) for high exposure level in the previous year. For asthma readmission, stratified analyses by type of dust exposure during follow-up showed increased risks for both wood dust [RR 2.67 (95% CI 1.35-5.26) high exposure level] and farming dust [RR 3.59 (95% CI 1.11-11.59) high exposure level]. No clear associations were seen for COPD readmissions. Conclusions This study indicates that exposure to wood or farm dust in the previous year increases the risk of hospital readmission for individuals with asthma but not for those with COPD.
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http://dx.doi.org/10.5271/sjweh.3926 | 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 PDFNat Commun
December 2024
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Sand and dust storms (SDS) can cause adverse health effects, with the oxidative potential (OP) and environmentally persistent free radicals (EPFRs) inducing oxidative stress. We mapped the OP and EPFRs concentrations at 1735 sites in China during SDS periods using experimental data for 2021-2023 and a random forest model. We examined 855,869 hospitalizations during SDS events for 2015-2022 in Beijing, China.
View Article and Find Full Text PDFFront Allergy
December 2024
Allergy and Clinical Immunology Unit, Meir Medical Center, Kfar Saba, Israel.
Background: Asthma, allergic rhinitis, atopic dermatitis, and food allergy are type 2 inflammation diseases. Since the 1960s, the prevalence of those diseases has steadily increased, presumably due to the "Hygiene hypothesis" which suggests that early exposure of infants to pathogens, siblings, and environmental dust, has a protective effect against the development of allergic diseases. The COVID-19 pandemic increased environmental hygiene due to lockdowns, masks, and social distancing.
View Article and Find Full Text PDFBiochim Biophys Acta Mol Basis Dis
December 2024
State Key Laboratory of Respiratory Diseases Allergy Division at Shenzhen University and Institute of Allergy & Immunology of Shenzhen University School of Medicine, Shenzhen, China. Electronic address:
The pathogenesis of many immune disorders is linked to regulatory macrophage dysfunction. The mechanism underlying it is unclear. The objective of this study is to examine the mechanism by which the PRKN ubiquitin protein ligase (PRKN) inhibits the development of regulatory macrophages (Mreg).
View Article and Find Full Text PDFEnviron Pollut
December 2024
Associate Unit CSIC-University of Huelva "Atmospheric Pollution", Center for Research in Sustainable Chemistry - CIQSO, University of Huelva, E21007 Huelva, Spain; Department of Earth Sciences, Faculty of Experimental Sciences, University of Huelva, Campus El Carmen s/n, E21007, Huelva, Spain.
Emissions of metals and metalloids as a result of industrial processes, entail a great risk to human health. A high time resolution study on arsenic levels in PM in the city of Huelva (SW Spain) was carried out between September 2021 and September 2022. Hourly data obtained with a near real-time technique based on X-ray fluorescence were inter-compared with other offline analytical instrumentation.
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