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: Exposure to particulate matter <2.5 μm (PM) is linked to chronic obstructive pulmonary disease (COPD), but most studies lack individual PM measurements. Seasonal variation and their impact on clinical outcomes remain understudied. : This study investigated the impact of PM concentrations on COPD-related clinical outcomes and their seasonal changes. : A multicentre panel study enrolled 105 COPD patients (age range: 46-82) from July 2019 to August 2020. Their mean forced expiratory volume in 1 second after bronchodilation was 53.9%. Individual PM levels were monitored continuously with indoor measurements at residences and outdoor data from the National Ambient Air Quality Monitoring Information System. Clinical parameters, including pulmonary function tests, symptom questionnaires (CAT and SGRQ-C), and impulse oscillometry (IOS), were assessed every three months over the course of one year. Statistical analysis was conducted using a linear mixed-effect model to account for repeated measurements and control for confounding variables, including age, sex, smoking status and socioeconomic status. : The mean indoor and outdoor PM concentrations were 16.2 ± 8.4 μg m and 17.2 ± 5.0 μg m, respectively. Winter had the highest PM concentrations (indoor, 18.8 ± 11.7 μg m; outdoor, 22.5 ± 5.0 μg m). Higher PM concentrations significantly correlated with poorer St. George's Respiratory Questionnaire for COPD (SGRQ-C) scores and increased acute exacerbations, particularly in winter. Patients of lower socioeconomic status were more vulnerable. Increased PM concentrations were also associated with amplified small airway resistance (5-20). : PM concentration changes are positively correlated with poorer SGRQ-C scores and increased acute exacerbations in COPD patients with significant seasonal variations, especially in winter.
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http://dx.doi.org/10.1039/d4em00376d | DOI Listing |
BMJ Open Sport Exerc Med
August 2025
School of Physiotherapy, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Objectives: To describe training loads and injury incidences, and explore their relationship in senior schoolboy rugby players in Leinster, Ireland.
Methods: Prospective cohort study conducted during the 2019-2020 season. Methods aligned with consensus statements for rugby injury surveillance research.
Scand J Psychol
September 2025
Faculty of Psychology, University of Akureyri, Akureyri, Iceland.
Living under the threat of natural disasters affects mental health. Natural disasters that are more likely to occur in a specific season represent a special case that is becoming more frequent with the consequences of climate change. Therefore, they deserve special attention regarding their potentially seasonal mental health implications.
View Article and Find Full Text PDFJ Hazard Mater
August 2025
Department of Environmental Science, Kangwon National University, Chuncheon, Gangwon-do 24341, Republic of Korea; Interdisciplinary Program in Earth Environmental System Science & Engineering, Kangwon National University, Chuncheon, Gangwon-do 24341, Republic of Korea; Gangwon particle pollution res
This study evaluates the oxidative potential (OP) of PM and its chemical drivers across three contrasting environments in South Korea: a residential area, a cement factory, and a charcoal kiln facility. Mass-normalized OP (OPm, reflecting intrinsic particle reactivity) ranged from 9.5 to 13.
View Article and Find Full Text PDFProteomics
September 2025
Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Honey bees (Apis mellifera) are vital pollinators in fruit-producing agroecosystems like highbush blueberry (HBB) and cranberry (CRA). However, their health is threatened by multiple interacting stressors, including pesticides, pathogens, and nutritional changes. We tested the hypothesis that distinct agricultural ecosystems-with different combinations of agrochemical exposure, pathogen loads, and floral resources-elicit ecosystem-specific, tissue-level molecular responses in honey bees.
View Article and Find Full Text PDFStat Med
September 2025
Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA.
Studying the association between mixtures of environmental exposures and health outcomes can be challenging due to issues such as correlation among the exposures and non-linearities or interactions in the exposure-response function. For this reason, one common strategy is to fit flexible nonparametric models to capture the true exposure-response surface. However, once such a model is fit, further decisions are required when it comes to summarizing the marginal and joint effects of the mixture on the outcome.
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