Previous studies suggested that exposure to air pollution could increase risk of asthma attacks in children. The aim of this study is to investigate the short-term effects of exposure to ambient air pollution on asthma hospital admissions in children in Beijing, a city with serious air pollution and high-quality medical care at the same time. We collected hospital admission data of asthma patients aged ≤ 18 years old from 56 hospitals from 2013 to 2016 in Beijing, China. Time-stratified case-crossover design and conditional Poisson regression were applied to explore the association between risk of asthma admission in children and the daily concentration of six air pollutants [particulate matter ≤ 2.5 μm (PM), particulate matter ≤ 10 μm (PM), sulfur dioxide (SO), nitrogen dioxide (NO), carbon monoxide (CO), and ozone (O)], adjusting for meteorological factors and other pollutants. Additionally, stratified analyses were performed by age, gender, and season. In the single-pollutant models, higher levels of PM, SO, and NO were significantly associated with increased risk of hospital admission for asthma in children. The strongest effect was observed in NO at lag06 ( = 1.25, 95%CI: 1.06-1.48), followed by SO at lag05 ( = 1.17, 95%CI: 1.05-1.31). The robustness of effects of SO and NO were shown in two-pollutant models. Stratified analyses further indicated that pre-school children (aged ≤ 6 years) were more susceptible to SO. The effects of SO were stronger in the cold season, while the effects of NO were stronger in the warm season. No significant sex-specific differences were observed. These results suggested that high levels of air pollution had an adverse effect on childhood asthma, even in a region with high-quality healthcare. Therefore, it will be significant to decrease hospital admissions for asthma in children by controlling air pollution emission and avoiding exposure to air pollution.
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http://dx.doi.org/10.3389/fpubh.2021.798746 | DOI Listing |
PLoS One
January 2025
Escuela de Ingeniería Química, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
In this comprehensive analysis of Chile's air quality dynamics spanning 2016 to 2021, the utilization of data from the National Air Quality Information System (SINCA) and its network of monitoring stations was undertaken. Quintero, Puchuncaví, and Coyhaique were the focal points of this study, with the primary objective being the construction of predictive models for sulfur dioxide (SO2), fine particulate matter (PM2.5), and coarse particulate matter (PM10).
View Article and Find Full Text PDFInt J Environ Health Res
January 2025
Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Previous research yields inconsistent findings on the association between air pollution and breast cancer risk, with no definitive causal relationship established. To address this, we conducted a two-sample Mendelian randomization study on data from the IEU open GWAS databases and the Breast Cancer Association Consortium to explore the potential link between air pollution (including PM, PM absorbance, PM, PM, NO, and NO) and breast cancer risk. We found that PM (odds ratio (OR) = 1.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Municipal Budgetary Educational Institution "Lyceum of the City of Yurga", St. Kirova, 7, Yurga, Kemerovo Region, 652055, Russia.
In Kemerovo Region (Kuzbass, Southwest Siberia), there is the largest coal basin in Russia and one of the largest in the world. Active moss biomonitoring was applied to assess the impact of potentially toxic elements on air pollution in five urban areas of the region. In each of the chosen urban regions, the moss bags were exposed in November and December of 2022 at locations with varying degrees of anthropogenic pressure.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Laboratory for Ecotoxicology and Environmental Forensics, University of Benin, PMB 1154, Benin City, Nigeria.
This research was carried out to assess the concentrations of carbon monoxide (CO) and formaldehyde (HCHO) in Edo State, Southern Nigeria, using remote sensing data. A secondary data collection method was used for the assessment, and the levels of CO and HCHO were extracted annually from Google Earth Engine using information from Sentinel-5-P satellite data (COPERNISCUS/S5P/NRTI/L3_) and processed using ArcMap, Google Earth Engine, and Microsoft Excel to determine the levels of CO and HCHO in the study area from 2018 to 2023. The geometry of the study location is highlighted, saved and run, and a raster imagery file of the study area is generated after the task has been completed with a 'projection and extent' in the Geographic Tagged Image File Format (.
View Article and Find Full Text PDFArch Microbiol
January 2025
Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Jalan, UMS, 88400, Kota Kinabalu, Sabah, Malaysia.
The agricultural productivity and world-wide food security is affected by different phytopathogens, in which Fusarium is more destructive affecting more than 150 crops, now got resistance against many fungicides that possess harmful effects on environment such as soil health, air pollution, and human health. Fusarium fungicide resistance is an increasing concern in agricultural and environmental contexts, requiring a thorough understanding of its causes, implications, and management approaches. The mechanisms of fungicide resistance in Fusarium spp.
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