Physical activity and ventilation rates have an effect on an individual's dose and may be important to consider in exposure-response relationships; however, these factors are often ignored in environmental epidemiology studies. The aim of this study was to evaluate methods of estimating the inhaled dose of air pollution and understand variability in the absence of a true gold standard metric. Five types of methods were identified: (1) methods using (physical) activity types, (2) methods based on energy expenditure, METs (metabolic equivalents of task), and oxygen consumption, (3) methods based on heart rate or (4) breathing rate, and (5) methods that combine heart and breathing rate. Methods were compared using a real-life data set of 122 adults who wore devices to track movement, black carbon air pollution, and physiological health markers for 3 weeks in three European cities. Different methods for estimating minute ventilation performed well in relative terms with high correlations among different methods, but in absolute terms, ignoring increased ventilation during day-to-day activities could lead to an underestimation of the daily dose by a factor of 0.08-1.78. There is no single best method, and a multitude of methods are currently being used to approximate the dose. The choice of a suitable method for determining the dose in future studies will depend on both the size and the objectives of the study.
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http://dx.doi.org/10.1021/acs.est.6b05782 | DOI Listing |
Ying Yong Sheng Tai Xue Bao
October 2024
College of Energy and Environmental Engineering, Hebei University of Engineering/Hebei Key Laboratory of Air Pollution Cause and Impact/Hebei Engineering Research Center of Sewage Treatment and Resource Utilization, Handan 056038, Hebei, China.
Estuaries are transitional zones between rivers and marine environments, with intensive human activities. Pollutants pose a threat to the ecological systems of estuaries. Among these pollutants, microplastics and antibiotic resistant genes have gained significant attention due to their potential impacts on estuarine organisms and human health.
View Article and Find Full Text PDFFront Artif Intell
December 2024
HPC Laboratory, Department of Engineering and Geology, University "G. d'Annunzio" Chieti-Pescara, Pescara, Italy.
The construction industry is rapidly adopting Industry 4.0 technologies, creating new opportunities to address persistent environmental and operational challenges. This review focuses on how Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are being leveraged to tackle these issues.
View Article and Find Full Text PDFJ Asthma
December 2024
Department of Otorhinolaryngology & Clinical Allergy Center, The First Affiliated Hospital, Nanjing Medical University, Nanjing, China.
Background: Thunderstorm Asthma (TA) events are observed worldwide, but the precise triggering mechanisms remain elusive.
Objective: This study aims to outline the environmental patterns associated with TA events in China.
Methods: Environmental data was collected from Chinese cities that have experienced TA events, focusing on meteorological conditions in the seven days preceding the thunderstorms.
Rapid Commun Mass Spectrom
March 2025
School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Suzhou, China.
Rationale: Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) is a powerful method for identifying viruses via nucleic acid detection. The data processing method is critical in recognizing nucleic acid obtained by MALDI-TOF-MS. Therefore, new development of data algorithm is needed for virus identification.
View Article and Find Full Text PDFEnviron Health
December 2024
Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany.
Background: Ambient air pollution is a known risk factor for several chronic health conditions, including pulmonary dysfunction. In recent years, studies have shown a positive association between exposure to air pollutants and the incidence, morbidity, and mortality of a COVID-19 infection, however the time period for which air pollution exposure is most relevant for the COVID-19 outcome is still not defined. The aim of this study was to analyze the difference in association when varying the time period of air pollution exposure considered on COVID-19 infection within the same cohort during the first wave of the pandemic in 2020.
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