Background: Short-term exposure to PM has been widely associated with human morbidity and mortality. However, most up-to-date research was conducted at a daily timescale, neglecting the intra-day variations in both exposure and outcome. As an important fraction in PM, PM has not been investigated about the very acute effects within a few hours.
Methods: Hourly data for size-specific PMs (i.e., PM, PM, and PM), all-cause emergency department (ED) visits and meteorological factors were collected from Guangzhou, China, 2015-2016. A time-stratified case-crossover design with conditional logistic regression analysis was performed to evaluate the hourly association between size-specific PMs and ED visits, adjusting for hourly mean temperature and relative humidity. Subgroup analyses stratified by age, sex and season were conducted to identify potential effect modifiers.
Results: A total of 292,743 cases of ED visits were included. The effects of size-specific PMs exhibited highly similar lag patterns, wherein estimated odds ratio (OR) experienced a slight rise from lag 0-3 to 4-6 h and subsequently attenuated to null along with the extension of lag periods. In comparison with PM and PM, PM induced slightly larger effects on ED visits. At lag 0-3 h, for instance, ED visits increased by 1.49% (95% confidence interval: 1.18-1.79%), 1.39% (1.12-1.66%) and 1.18% (0.97-1.40%) associated with a 10-μg/m rise, respectively, in PM, PM and PM. We have detected a significant effect modification by season, with larger PM-associated OR during the cold months (1.017, 1.013 to 1.021) compared with the warm months (1.010, 1.005 to 1.015).
Conclusions: Our study provided brand-new evidence regarding the adverse impact of PM exposure on human health within several hours. PM-associated effects were significantly more potent during the cold months. These findings may aid health policy-makers in establishing hourly air quality standards and optimizing the allocation of emergency medical resources.
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http://dx.doi.org/10.1016/j.scitotenv.2020.142347 | DOI Listing |
Environ Sci Pollut Res Int
November 2023
Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Institute of Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, No. 9 Shuguang Middle Road, Haidian District, Beijing, 100097, China.
The particle-size distribution of antimicrobial resistant (AMR) elements is crucial in evaluating their environmental behavior and health risks, and exposure to the fecal microbiome via particle mass (PM) is an important route of transmission of AMR from livestock to humans. However, few studies have explored the association between air and fecal AMR in farm environments from the perspective of particle-size stratification. We collected feces and PMs of different sizes from layer and broiler farms, quantified antibiotic resistance genes (ARGs), mobile genetic elements (MGEs), and human pathogenic bacteria (HPB) using Droplet digital PCR (ddPCR), and analyzed the bacterial communities based on 16S rRNA sequencing.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
March 2023
Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Epidemiology & Health Statistics, School of Public Health, Southeast University, 87 Dingjiaqiao, Gulou District, Jiangsu, 210096, Nanjing, China.
This time-stratified case-crossover study aims to quantify the risk of allergic conjunctivitis (AC) associated with short-term exposure to PMs (i.e., PM, PM, PM, and PM) among children in Guangzhou, China.
View Article and Find Full Text PDFPLoS One
January 2022
Department of Mechanical Engineering, College of Engineering, University of Washington, Seattle, Washington, United States of America.
Low-cost optical scattering particulate matter (PM) sensors report total or size-specific particle counts and mass concentrations. The PM concentration and size are estimated by the original equipment manufacturer (OEM) proprietary algorithms, which have inherent limitations since particle scattering depends on particles' properties such as size, shape, and complex index of refraction (CRI) as well as environmental parameters such as temperature and relative humidity (RH). As low-cost PM sensors are not able to resolve individual particles, there is a need to characterize and calibrate sensors' performance under a controlled environment.
View Article and Find Full Text PDFJ Cancer Prev
September 2021
Department of Life Science, Institute of Environmental Medicine, Dongguk University Biomedi Campus, Goyang, Korea.
Air pollutants are in the spotlight because the human body can easily be exposed to them. Among air pollutants, the particulate matter (PM) represents one of the most serious toxicants that can enter the human body through various exposure routes. PMs have various adverse effects and classified as severe carcinogen by International Agency for Research on Cancer.
View Article and Find Full Text PDFEnviron Pollut
March 2021
Faculty of Geoscience and Civil Engineering, Institute of Science and Engineering, Kanazawa University, Kanazawa, Ishikawa, 920-1192, Japan; Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla, 90112, Thailand; Department of Geography, Faculty of Social Sciences, Chiang Mai University, Muang, Chiang Mai, 50200, Thailand. Electronic address:
Atmospheric size-classified particles in sizes ranging from small to nanoparticles (PM) are reported for Rangsit City in the Bangkok Metropolitan Region (BMR) of Thailand, for October 2019 (wet season) and January-February 2020 (dry season). The sampling involved the use of a PM cascade air sampler to determine the mass concentration. The PMs consisted of six stages including TSP-PM, PM, PM PM PM and PM.
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