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Katz DSW, Zigler CM, Bhavnani D, Balcer-Whaley S, Matsui EC. Pollen and viruses contribute to spatio-temporal variation in asthma-related emergency department visits. ENVIRONMENTAL RESEARCH 2024; 257:119346. [PMID: 38838752 PMCID: PMC11268730 DOI: 10.1016/j.envres.2024.119346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/25/2024] [Accepted: 06/03/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND Asthma exacerbations are an important cause of emergency department visits but much remains unknown about the role of environmental triggers including viruses and allergenic pollen. A better understanding of spatio-temporal variation in exposure and risk posed by viruses and pollen types could help prioritize public health interventions. OBJECTIVE Here we quantify the effects of regionally important Cupressaceae pollen, tree pollen, other pollen types, rhinovirus, seasonal coronavirus, respiratory syncytial virus, and influenza on asthma-related emergency department visits for people living near eight pollen monitoring stations in Texas. METHODS We used age stratified Poisson regression analyses to quantify the effects of allergenic pollen and viruses on asthma-related emergency department visits. RESULTS Young children (<5 years of age) had high asthma-related emergency department rates (24.1 visits/1,000,000 person-days), which were mainly attributed to viruses (51.2%). School-aged children also had high rates (20.7 visits/1,000,000 person-days), which were attributed to viruses (57.0%), Cupressaceae pollen (0.7%), and tree pollen (2.8%). Adults had lower rates (8.1 visits/1,000,000 person-days) which were attributed to viruses (25.4%), Cupressaceae pollen (0.8%), and tree pollen (2.3%). This risk was spread unevenly across space and time; for example, during peak Cuppressaceae season, this pollen accounted for 8.2% of adult emergency department visits near Austin where these plants are abundant, but 0.4% in cities like Houston where they are not; results for other age groups were similar. CONCLUSIONS Although viruses are a major contributor to asthma-related emergency department visits, airborne pollen can explain a meaningful portion of visits during peak pollen season and this risk varies over both time and space because of differences in plant composition.
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Affiliation(s)
- Daniel S W Katz
- The Department of Population Health and Data Sciences, Dell Medical School, University of Texas at Austin, United States; The School of Integrative Plant Science, Cornell University, United States.
| | - Corwin M Zigler
- The Department of Statistics and Data Sciences, Dell Medical School, University of Texas at Austin, United States
| | - Darlene Bhavnani
- The Department of Population Health and Data Sciences, Dell Medical School, University of Texas at Austin, United States
| | - Susan Balcer-Whaley
- The Department of Population Health and Data Sciences, Dell Medical School, University of Texas at Austin, United States
| | - Elizabeth C Matsui
- The Department of Population Health and Data Sciences, Dell Medical School, University of Texas at Austin, United States
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Kono M, Su TY, Chang YY, Chou CCK, Lee CT, Chen PC, Wu WT. Assessing the impact of specific PM 2.5-Bound metallic elements on asthma emergency department visits: A case-crossover study in Taiwan. ENVIRONMENTAL RESEARCH 2024; 255:119130. [PMID: 38735375 DOI: 10.1016/j.envres.2024.119130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 05/05/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
OBJECTIVES This study aims to assess the specific PM2.5-bound metallic elements that contribute to asthma emergency department visits by using a case-crossover study design. METHODS This study analyzed data from 11,410 asthma emergency department visits as case group and 22,820 non-asthma onset dates occurring one week and two weeks preceding the case day as controls from 2017 to 2020. PM2.5 monitoring data and 35 PM.2.5-bound metallic elements from six different regions in Taiwan were collected. Conditional logistic regression models were used to assess the relationship between asthma and PM2.5-bound metallic elements. RESULTS Our investigation revealed a statistically significant risk of asthma emergency department visits associated with PM2.5 exposure at lag 0, 1, 2, and 3 during autumn. Additionally, PM2.5-bound hafnium (Hf), thallium (Tl), rubidium (Rb), and aluminum (Al) exhibited a consistently significant positive correlation with asthma emergency department visits at lags 1, 2, and 3. In stratified analyses by area, age, and sex, PM2.5-bound Hf showed a significant and consistent correlation. CONCLUSIONS This study provides evidence of PM2.5-bound metallic elements effects in asthma exacerbations, particularly for Hf. It emphasizes the importance of understanding the origins of these metallic elements and pursuing emission reductions to mitigate regional health risks.
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Affiliation(s)
- Miku Kono
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | - Ting-Yao Su
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan; School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Yu-Yin Chang
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
| | | | - Chung-Te Lee
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan City, Taiwan
| | - Pau-Chung Chen
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan; Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan; Department of Public Health, National Taiwan University College of Public Health, Taipei, Taiwan; Department of Environmental and Occupational Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Wei-Te Wu
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan; Institute of Environmental and Occupational Health Sciences, National Yang-Ming Chiao Tung University, Taipei, Taiwan.
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3
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Watanabe H, Honda A, Ichinose T, Ishikawa R, Miyasaka N, Nagao M, Wang Z, Owokoniran OH, Qiu B, Higaki Y, Liu W, Okuda T, Matsuda T, Takano H. Ferruginous components of particulate matters in subway environments, α-Fe 2O 3 or Fe 3O 4, exacerbates allergies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 355:124195. [PMID: 38776998 DOI: 10.1016/j.envpol.2024.124195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 05/11/2024] [Accepted: 05/20/2024] [Indexed: 05/25/2024]
Abstract
The respiratory effects of particulate matter (PM) in subway station platforms or tunnels have attracted considerable research attention. However, no studies have characterized the effects of subway PM on allergic immune responses. In this study, iron oxide (α-Fe2O3 and Fe3O4) particles-the main components of subway PM-were intratracheally administered to BALB/c mice where ovalbumin (OVA) induced allergic pulmonary inflammation. Iron oxide particles enhanced OVA-induced eosinophil recruitment around the bronchi and mucus production from airway epithelium. The concentrations of type 2 cytokines, namely, interleukin (IL)-5 and IL-13, in bronchial alveolar lavage fluids were increased by iron oxide particles. Iron oxide particles also increased the number of type 2 innate lymphoid cells and CD86+ cells in the lung. Moreover, phagocytosis of particles in lung cells was confirmed by Raman spectroscopy. In a subsequent in vitro study, bone marrow-derived antigen-presenting cells (APCs) isolated from NC/Nga mice were exposed to iron oxide particles and OVA. They were also exposed to outdoor ambient PM: Vehicle Exhaust Particulates (VEP) and Urban Aerosols (UA) as references. Iron oxide particles promoted the release of lactate dehydrogenase, C-X-C motif chemokine ligand 1 and IL-1α from APCs, which tended to be stronger than those of VEP. These results suggest that iron oxide particles enhance antigen presentation in the lungs, promoting allergic immune response in mice; iron oxide particles-induced death and inflammatory response of APCs can contribute to allergy exacerbation. Although iron oxide particles do not contain various compounds like VEP, iron oxide alone may have sufficient influence.
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Affiliation(s)
- Hikari Watanabe
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, 606-8501, Japan
| | - Akiko Honda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, 606-8501, Japan.
| | - Takamichi Ichinose
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, 606-8501, Japan
| | - Raga Ishikawa
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, 606-8501, Japan
| | - Natsuko Miyasaka
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, 606-8501, Japan
| | - Megumi Nagao
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, 606-8501, Japan
| | - Zaoshi Wang
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, 606-8501, Japan
| | | | - Binyang Qiu
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, 606-8501, Japan
| | - Yuya Higaki
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, 606-8501, Japan
| | - Wei Liu
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, 606-8501, Japan
| | - Tomoaki Okuda
- Department of Applied Chemistry, Faculty of Science and Technology, Keio University, Kanagawa, 223-8522, Japan
| | - Tomonari Matsuda
- Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, 606-8501, Japan; Research Center for Environmental Quality Management, Kyoto University, Shiga, 520-0811, Japan
| | - Hirohisa Takano
- Graduate School of Global Environmental Studies, Kyoto University, Kyoto, 606-8501, Japan; Institute for International Academic Research, Kyoto University of Advanced Science, Kyoto, 615-8577, Japan
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4
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Trees I, Yu F, Deng X, Luo G, Zhang W, Lin S. Ultrafine Particles and Hospital Visits for Chronic Lower Respiratory Diseases in New York State. Ann Am Thorac Soc 2024; 21:1147-1155. [PMID: 38445971 DOI: 10.1513/annalsats.202303-267oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 03/05/2024] [Indexed: 03/07/2024] Open
Abstract
Rationale: Exposure to particulate matter is associated with various adverse health outcomes. Ultrafine particles (UFPs; diameter <0.1 μm) are a unique public health challenge because of their size. However, limited studies have examined their impacts on human health, especially across seasons and demographic characteristics. Objectives: To evaluate the effect of UFP exposure on the risk of visiting the emergency department (ED) for a chronic lower respiratory disease (CLRD) in New York State in 2013-2018. Methods: We used a case-crossover design and conditional logistic regression to estimate how UFP exposure led to CLRD-related ED visits. GEOS-Chem Advanced Particle Microphysics, a state-of-the-art chemical transport model with a size-resolved particle microphysics model, generated air pollution simulation data. We then matched UFP exposure estimates to geocoded health records for asthma, bronchiectasis, chronic bronchitis, emphysema, unspecified bronchitis, and other chronic airway obstructions in New York State from 2013 through 2018. In addition, we assessed interactions with age, ethnicity, race, sex, meteorological factors, and season. Results: Each 1-(interquartile range [IQR]) increase in UFP exposure led to a 0.37% increased risk of a respiratory-related ED visit on lag 0-0, or the day of the ED visits, (95% confidence interval [CI], 0.23-0.52%) and a 1.81% increase on lag 0-6, or 6 days before the ED visit, (95% CI, 1.58-2.03%). The highest risk was in the emphysema subtype (lag 0-5, 4.18%; 95% CI, 0.16-8.37%), followed by asthma (lag 0-6, 2.00%), chronic bronchitis (lag 0-6, 1.78%), other chronic airway obstructions (lag 0-6, 1.60%), and unspecified bronchitis (lag 0-6, 1.49%). We also found significant interactions between UFP health impacts and season (Fall, 3.29%), temperature (<90th percentile, 2.27%), relative humidity (>90th percentile, 4.63%), age (children aged <18 yr, 3.19%), and sex (men, 2.06%) on lag 0-6. Conclusions: In this study, UFP exposure increased CLRD-related ED visits across all seasons and demographic characteristics, yet these associations varied according to various factors, which requires more research.
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Affiliation(s)
- Ian Trees
- Department of Environmental Health Sciences and
| | - Fangqun Yu
- Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, Albany, New York; and
| | - Xinlei Deng
- Department of Environmental Health Sciences and
| | - Gan Luo
- Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, Albany, New York; and
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shao Lin
- Department of Environmental Health Sciences and
- Department of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, New York
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5
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Yatera K, Nishida C. Contemporary Concise Review 2023: Environmental and occupational lung diseases. Respirology 2024; 29:574-587. [PMID: 38826078 DOI: 10.1111/resp.14761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 05/16/2024] [Indexed: 06/04/2024]
Abstract
Air pollutants have various effects on human health in environmental and occupational settings. Air pollutants can be a risk factor for incidence, exacerbation/aggravation and death due to various lung diseases, including asthma, chronic obstructive pulmonary disease (COPD), hypersensitivity pneumonitis or pneumonia (HP), pulmonary fibrosis such as pneumoconiosis and malignant respiratory diseases such as lung cancer and malignant pleural mesothelioma. Environmental and occupational respiratory diseases are crucial clinical and social issues worldwide, although the burden of respiratory disease due to environmental and occupational causes varies depending on country/region, demographic variables, geographical location, industrial structure and socioeconomic situation. The correct recognition of environmental and occupational lung diseases and taking appropriate measures are essential to their effective prevention.
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Affiliation(s)
- Kazuhiro Yatera
- Department of Respiratory Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
| | - Chinatsu Nishida
- Department of Environmental Health Engineering, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
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6
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Song Z, Chen L, Sun S, Yang G, Yu G. Unveiling the airborne microbial menace: Novel insights into pathogenic bacteria and fungi in bioaerosols from nursery schools to universities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 929:172694. [PMID: 38670386 DOI: 10.1016/j.scitotenv.2024.172694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 04/07/2024] [Accepted: 04/21/2024] [Indexed: 04/28/2024]
Abstract
Bacterial and fungal aerosol pollution is widespread in indoor school environments, and poses potential health risks to students and staff. Understanding the distribution and diversity of microbial communities within aerosols is crucial to mitigate their adverse effects. Existing knowledge regarding the composition of bacterial and fungal aerosols, particularly the presence of potential pathogenic microorganisms in fine particulate matter (PM2.5) from nursery schools to universities, is limited. To bridge this knowledge gap, in the present study, we collected PM2.5 samples from five types of schools (i.e., nursery schools, primary schools, junior schools, and high schools and universities) in China. We used advanced single-molecule real-time sequencing to analyze the species-level diversity of bacterial and fungal components in PM2.5 samples based on 16S and ITS ribosomal genes, respectively. We found significant differences in microbial diversity and community composition among the samples obtained from different educational institutions and pollution levels. In particularly, junior schools exhibited higher PM2.5 concentrations (62.2-86.6 μg/m3) than other schools (14.4-48.4 μg/m3). Moreover, microbial variations in PM2.5 samples were associated with institution type. Notably, the prevailing pathogenic microorganisms included Staphylococcus aureus, Staphylococcus epidermidis, Staphylococcus haemolyticus, Streptococcus pneumoniae, and Schizophyllum commune, all of which were identified as Class II Pathogenic Microorganisms in school settings. Four potentially novel strains of S. commune were identified in PM2.5 samples collected from the university; the four strains showed 92.4 %-94.1 % ITS sequence similarity to known Schizophyllum isolates. To the best of our knowledge, this is the first study to explore bacterial and fungal diversity within PM2.5 samples from nursery schools to universities. Overall, these findings contribute to the existing knowledge of school environmental microbiology to ensure the health and safety of students and staff and impacting public health.
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Affiliation(s)
- Zhicheng Song
- College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Lei Chen
- College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Shuwei Sun
- Jinan Licheng No.2 High School, Jinan 250109, China
| | - Guiwen Yang
- College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Guanliu Yu
- College of Life Sciences, Shandong Normal University, Jinan 250014, China.
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7
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Requia WJ, Silva LM. Urban structure types and students' academic performance. ENVIRONMENTAL TECHNOLOGY 2024:1-13. [PMID: 38619984 DOI: 10.1080/09593330.2024.2339190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/15/2024] [Indexed: 04/17/2024]
Abstract
In this study, we propose a novel approach for estimating the relationship between neighborhood characteristics and students' academic performance. We propose the concept of urban morphology by Urban Structure Types (USTs). USTs are spatial indicators that describe the urban system through its physical, environmental, and functional characteristics. Our academic performance data includes 344,175 students from 256 public schools in the Federal District (FD), Brazil. This is student-level academic achievement data from 2017 to 2020. We performed the UST mapping in the FD by using visual interpretation. We classified 21 different types of UST. We fit mixed-effects regression models with a student-specific random intercept and slope. The model was adjusted for temporal factors, SES factors, and variables representing the characteristics and the location of each school. Our findings suggest associations between several types of USTs surrounding schools and academic performance. Overall, areas characterized as low population density, with high green index, and high standard residences were associated with an increase in student performance. In contrast, areas that include old buildings near streets, with significant traffic density, and areas with significant exposed soil (areas devasted) were associated with a decrease in student performance. The results of our study support the creation of effective educational and urban planning policies for local interventions. These interventions are likely to translate into healthier schools and improvements in children's behavioral development and learning performance.
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Affiliation(s)
- Weeberb J Requia
- School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Brazil
| | - Luciano Moura Silva
- School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Brazil
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8
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Zhou X, Sampath V, Nadeau KC. Effect of air pollution on asthma. Ann Allergy Asthma Immunol 2024; 132:426-432. [PMID: 38253122 PMCID: PMC10990824 DOI: 10.1016/j.anai.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 01/16/2024] [Accepted: 01/16/2024] [Indexed: 01/24/2024]
Abstract
Asthma is a chronic inflammatory airway disease characterized by respiratory symptoms, variable airflow obstruction, bronchial hyperresponsiveness, and airway inflammation. Exposure to air pollution has been linked to an increased risk of asthma development and exacerbation. This review aims to comprehensively summarize recent data on the impact of air pollution on asthma development and exacerbation. Specifically, we reviewed the effects of air pollution on the pathogenic pathways of asthma, including type 2 and non-type 2 inflammatory responses, and airway epithelial barrier dysfunction. Air pollution promotes the release of epithelial cytokines, driving TH2 responses, and induces oxidative stress and the production of proinflammatory cytokines. The enhanced type 2 inflammation, furthered by air pollution-induced dysfunction of the airway epithelial barrier, may be associated with the exacerbation of asthma. Disruption of the TH17/regulatory T cell balance by air pollutants is also related to asthma exacerbation. As the effects of air pollution exposure may accumulate over time, with potentially stronger impacts in the development of asthma during certain sensitive life periods, we also reviewed the effects of air pollution on asthma across the lifespan. Future research is needed to better characterize the sensitive period contributing to the development of air pollution-induced asthma and to map air pollution-associated epigenetic biomarkers contributing to the epigenetic ages onto asthma-related genes.
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Affiliation(s)
- Xiaoying Zhou
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Vanitha Sampath
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kari C Nadeau
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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9
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Nikpour P, Shafiei M, Khatibi V. Gelato: a new hybrid deep learning-based Informer model for multivariate air pollution prediction. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:29870-29885. [PMID: 38592633 DOI: 10.1007/s11356-024-33190-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/29/2024] [Indexed: 04/10/2024]
Abstract
The increase in air pollutants and its adverse effects on human health and the environment has raised significant concerns. This implies the necessity of predicting air pollutant levels. Numerous studies have aimed to provide new models for more accurate prediction of air pollutants such as CO2, O3, and PM2.5. Most of the models used in the literature are deep learning models with Transformers being the best for time series prediction. However, there is still a need to enhance accuracy in air pollution prediction using Transformers. Alongside the need for increased accuracy, there is a significant demand for predicting a broader spectrum of air pollutants. To encounter this challenge, this paper proposes a new hybrid deep learning-based Informer model called "Gelato" for multivariate air pollution prediction. Gelato takes a leap forward by taking several air pollutants into consideration simultaneously. Besides introducing new changes to the Informer structure as the base model, Gelato utilizes Particle Swarm Optimization for hyperparameter optimization. Moreover, XGBoost is used at the final stage to achieve minimal errors. Applying the proposed model on a dataset containing eight important air pollutants, including CO2, O3, NO, NO2, SO2, PM10, NH3, and PM2.5, the Gelato performance is assessed. Comparing the results of Gelato with other models shows Gelato's superiority over them, proving it is a high-confidence model for multivariate air pollution prediction.
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Affiliation(s)
- Parsa Nikpour
- Department of Intelligent Systems Engineering, School of Industrial Engineering, Iran University of Science and Technology, Tehran, 16846-13114, Iran
| | - Mahdis Shafiei
- Department of Intelligent Systems Engineering, School of Industrial Engineering, Iran University of Science and Technology, Tehran, 16846-13114, Iran
| | - Vahid Khatibi
- Department of Intelligent Systems Engineering, School of Industrial Engineering, Iran University of Science and Technology, Tehran, 16846-13114, Iran.
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10
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Mazumder H, Rimu FH, Shimul MH, Das J, Gain EP, Liaw W, Hossain MM. Maternal health outcomes associated with ambient air pollution: An umbrella review of systematic reviews and meta-analyses. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169792. [PMID: 38199356 DOI: 10.1016/j.scitotenv.2023.169792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/20/2023] [Accepted: 12/28/2023] [Indexed: 01/12/2024]
Abstract
A growing body of literature demonstrated an association between exposure to ambient air pollution and maternal health outcomes with mixed findings. The objective of this umbrella review was to systematically summarize the global evidence on the effects of air pollutants on maternal health outcomes. We adopted the Joanna Briggs Institute (JBI) methodology and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting standards for this umbrella review. We conducted a comprehensive search across six major electronic databases and other sources to identify relevant systematic reviews and meta-analyses (SRMAs) published from the inception of these databases up to June 30, 2023. Out of 2399 records, 20 citations matched all pre-determined eligibility criteria that include SRMAs focusing on exposure to air pollution and its impact on maternal health, reported quantitative measures or summary effects, and published in peer-reviewed journals in the English language. The risk of bias of included SRMAs was evaluated based on the JBI critical appraisal checklist. All SRMAs reported significant positive associations between ambient air pollution and several maternal health outcomes. Specifically, particulate matter (PM), SO2, and NO demonstrated positive associations with gestational diabetes mellitus (GDM). Moreover, PM and NO2 showed a consistent positive relationship with hypertensive disorder of pregnancy (HDP) and preeclampsia (PE). Although limited, available evidence highlighted a positive correlation between PM and gestational hypertension (GH) and spontaneous abortion (SAB). Only one meta-analysis reported the effects of air pollution on maternal postpartum depression (PPD) where only PM10 showed a significant positive relationship. Limited studies were identified from low- and middle-income countries (LMICs), suggesting evidence gap from the global south. This review necessitates further research on underrepresented regions and communities to strengthen evidence on this critical issue. Lastly, interdisciplinary policymaking and multilevel interventions are needed to alleviate ambient air pollution and associated maternal health disparities.
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Affiliation(s)
- Hoimonty Mazumder
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, The University of Memphis, Memphis, TN 38152, United States.
| | - Fariha Hoque Rimu
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, United States
| | - Monir Hossain Shimul
- Department of Public Health, Daffodil International University, Dhaka, Bangladesh
| | - Jyoti Das
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, United States
| | - Easter Protiva Gain
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, The University of Memphis, Memphis, TN 38152, United States
| | - Winston Liaw
- Department of Health Systems and Population Health Sciences, Tilman J. Fertitta Family College of Medicine, University of Houston, TX 77204, United States
| | - M Mahbub Hossain
- Department of Health Systems and Population Health Sciences, Tilman J. Fertitta Family College of Medicine, University of Houston, TX 77204, United States; Department of Decision and Information Sciences, C.T. Bauer College of Business, University of Houston, TX 77204, United States
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11
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Bazdar S, van den Berg S, Rutjes NW, Bloemsma LD, Downward GS, De Weger LA, Terheggen-Lagro SWJ, van Wijck Y, Maitland van der Zee AH, Kapitein B. The effects of the COVID-19 pandemic on PICU admissions for severe asthma exacerbations: A single-center experience. Pediatr Pulmonol 2024; 59:263-273. [PMID: 37937901 DOI: 10.1002/ppul.26741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/20/2023] [Accepted: 10/23/2023] [Indexed: 11/09/2023]
Abstract
BACKGROUND The incidence of severe asthma exacerbations (SAE) requiring a pediatric intensive care unit (PICU) admission during the coronavirus disease 2019 (COVID-19) pandemic (and its association with public restrictions) is largely unknown. We examined the trend of SAE requiring PICU admission before, during, and after COVID-19 restrictions in Amsterdam, the Netherlands, and its relationship with features such as environmental triggers and changes in COVID-19 restriction measures. METHODS In this single-center, retrospective cohort study, all PICU admissions of children aged ≥2 years for severe asthma at the Amsterdam UMC between 2018 and 2022 were included. The concentrations of ambient fine particulate matter (PM2.5 ) and pollen were obtained from official monitoring stations. RESULTS Between January 2018 and December 2022, 228 children were admitted to the PICU of the Amsterdam UMC for SAE. While we observed a decrease in admissions during periods of more stringent restriction, there was an increase in the PICU admission rate for SAE in some periods following the lifting of restrictions. In particular, following the COVID-19 restrictions in 2021, we observed a peak incidence of admissions from August to November, which was higher than any other peak during the indicated years. No association with air pollution or pollen was observed. CONCLUSION We hypothesize that an increase in clinically diagnosed viral infections after lockdown periods was the reason for the altered incidence of SAE at the PICU in late 2021, rather than air pollution and pollen concentrations.
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Affiliation(s)
- Somayeh Bazdar
- Department of Pulmonary Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sarah van den Berg
- Department of Pediatric Pulmonology and Allergy, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Pediatric Intensive Care Unit, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Niels W Rutjes
- Department of Pediatric Pulmonology and Allergy, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Lizan D Bloemsma
- Department of Pulmonary Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam UMC, Amsterdam, The Netherlands
| | - George S Downward
- Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
- Department of Global Public Health & Bioethics, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Letty A De Weger
- Department of Pulmonology and Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Suzanne W J Terheggen-Lagro
- Department of Pediatric Pulmonology and Allergy, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Yolanda van Wijck
- Department of Pulmonary Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam UMC, Amsterdam, The Netherlands
| | - Anke H Maitland van der Zee
- Department of Pulmonary Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Public Health, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Pediatric Pulmonology and Allergy, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Berber Kapitein
- Pediatric Intensive Care Unit, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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Adhikary M, Mal P, Saikia N. Exploring the link between particulate matter pollution and acute respiratory infection risk in children using generalized estimating equations analysis: a robust statistical approach. Environ Health 2024; 23:12. [PMID: 38273338 PMCID: PMC10809452 DOI: 10.1186/s12940-024-01049-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 01/07/2024] [Indexed: 01/27/2024]
Abstract
BACKGROUND India is facing a burdensome public health challenge due to air pollution, with a particularly high burden of acute respiratory infections (ARI) among children. To address this issue, our study aims to evaluate the association between exposure to fine particulate matter (PM2.5) and ARI incidence in young children in India. MATERIALS AND METHODS Our study used PM2.5 data provided by the Atmospheric Composition Analysis Group at Washington University to assess the association between PM2.5 exposure and ARI incidence in 223,375 children sampled from the 2019-2021 Demographic Health Survey in India. We employed the generalized estimating equation and reported odds ratios and 95% confidence intervals for a 10 µg/m3 increase in PM2.5 and quartiles of PM2.5 exposure. RESULTS Each 10 µg/m3 increase in PM2.5 levels was associated with an increased odds of ARI (OR: 1.23, 95% CI: 1.19-1.27). A change from the first quartile of PM2.5 (2.5-34.4 µg/m3) to the second quartile (34.5-51.5 µg/m3) of PM2.5 was associated with a two-fold change (OR: 2.06, 95% CI: 1.60-2.66) in the odds of developing ARI. Similarly, comparing the first quartile to the fourth quartile of PM2.5 exposure (78.3-128.9 µg/m3) resulted in an over four-fold increase in the odds of ARI (OR: 4.45, 95% CI: 3.37-5.87). CONCLUSION Mitigation efforts must be continued implementing higher restrictions in India and to bring new interventions to ensure safe levels of air for reducing the burden of disease and mortality associated with air pollution in India.
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Affiliation(s)
- Mihir Adhikary
- Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India.
| | - Piyasa Mal
- Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India
| | - Nandita Saikia
- Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India
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13
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Chen YL, Lin YY, Chin PW, Chen CC, Cheng CG, Cheng CA. Analyzing COVID-19 and Air Pollution Effects on Pediatric Asthma Emergency Room Visits in Taiwan. TOXICS 2024; 12:79. [PMID: 38251034 PMCID: PMC10818664 DOI: 10.3390/toxics12010079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/07/2024] [Accepted: 01/15/2024] [Indexed: 01/23/2024]
Abstract
(1) Background: An asthma exacerbation that is not relieved with medication typically requires an emergency room visit (ERV). The coronavirus disease 2019 (COVID-19) pandemic began in Taiwan in January of 2020. The influence of the COVID-19 pandemic on pediatric ERVs in Taiwan was limited. Our aim was to survey pediatric asthma ERVs in the COVID-19 era; (2) Methods: Data were collected from the health quality database of the Taiwanese National Health Insurance Administration from 2019 to 2021. Air pollution and climatic factors in Taipei were used to evaluate these relationships. Changes in the rates of pediatric asthma ERVs were assessed using logistic regression analysis. Poisson regression was used to evaluate the impact of air pollution and climate change; (3) Results: The rate of pediatric asthma ERVs declined in different areas and at different hospital levels including medical centers, regional and local hospitals. Some air pollutants (particulate matter ≤ 2.5 µm, particulate matter ≤ 10 µm, nitrogen dioxide, and carbon monoxide) reduced during the COVID-19 lockdown. Ozone increased the relative risk (RR) of pediatric asthma ERVs during the COVID-19 period by 1.094 (95% CI: 1.095-1.12) per 1 ppb increase; (4) Conclusions: The rate of pediatric asthma ERVs declined during the COVID-19 pandemic and ozone has harmful effects. Based on these results, the government could reduce the number of pediatric asthma ERVs through healthcare programs, thereby promoting children's health.
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Affiliation(s)
- Yan-Lin Chen
- School of Medicine, National Defense Medical Center, Taipei 11490, Taiwan;
| | - Yen-Yue Lin
- Department of Emergency Medicine, Taoyuan Armed Forces General Hospital, Taoyuan 32549, Taiwan
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan
| | - Pi-Wei Chin
- Department of Nursing, Ministry of Health and Welfare, Hua-Lien Hospital, Hua-Lien 97061, Taiwan;
| | - Cheng-Chueh Chen
- Department of General Surgery, China Medical University Beigang Hospital, Yunlin 65152, Taiwan;
| | - Chun-Gu Cheng
- Department of Emergency Medicine, Taoyuan Armed Forces General Hospital, Taoyuan 32549, Taiwan
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan
| | - Chun-An Cheng
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan
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Chen L, Song Z, Zhou X, Yang G, Yu G. Pathogenic bacteria and fungi in bioaerosols from specialized hospitals in Shandong province, East China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 341:122922. [PMID: 37984476 DOI: 10.1016/j.envpol.2023.122922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 11/08/2023] [Accepted: 11/09/2023] [Indexed: 11/22/2023]
Abstract
Bacteria and fungi are abundant and ubiquitous in bioaerosols in hospital environments. Understanding the distribution and diversity of microbial communities within bioaerosols is critical for mitigating their detrimental effects. Our knowledge on the composition of bacteria or fungi in bioaerosols is limited, especially the potential pathogens present in fine particulate matter (PM2.5) from specialized hospitals. Thirty p.m.2.5 filter samples were collected from five hospitals (i.e., oral, dermatology, chest, eye, and general hospitals) in Shandong Province, East China. The diversity of bacteria and fungi was analyzed at the species level using single-molecule real-time sequencing of the 16 S and internal transcribed spacer 1 (ITS) ribosomal genes, respectively. Significant differences were detected across sampling sites in terms of microbial diversity and community composition in PM2.5 as well as pollution concentrations. The range of PM2.5 concentrations observed in hospital halls was higher, ranging from 39.0 to 46.2 μg/m3, compared to the wards where the concentrations ranged from 10.7 to 25.2 μg/m3. Furthermore, microbial variations in PM2.5 bioaerosols were associated with hospital type. The most dominant pathogens identified were Vibrio metschnikovii, Staphylococcus epidermidis, Staphylococcus haemolyticus, Fusarium pseudensiforme, and Aspergillus ruber. Among these, A. ruber was identified as an opportunistic fungus in a hospital setting for the first time. Nine potentially novel strains of F. pseudensiforme, showing 84.5%-92.0% ITS sequence similarity to known Fusarium isolates, were identified in PM2.5 samples from all hospitals (excluding an eye hospital). This study highlights the importance of hospital environments in shaping microbial aerosol communities. To the best of our knowledge, this is the first study to provide insights into the bacterial and fungal biodiversity of PM2.5 in specialized hospitals, enriching research in healthcare environmental microbiology and carrying significant public health implications.
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Affiliation(s)
- Lei Chen
- College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Zhicheng Song
- College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Xintian Zhou
- Department of Pediatrics, Taian Maternal and Child Health Hospital, Taian 271000, China
| | - Guiwen Yang
- College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Guanliu Yu
- College of Life Sciences, Shandong Normal University, Jinan 250014, China.
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15
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Lim S, Said B, Zurba L, Mosler G, Addo-Yobo E, Adeyeye OO, Arhin B, Evangelopoulos D, Fapohunda VT, Fortune F, Griffiths CJ, Hlophe S, Kasekete M, Lowther S, Masekela R, Mkutumula E, Mmbaga BT, Mujuru HA, Nantanda R, Mzati Nkhalamba L, Ngocho JS, Ojo OT, Owusu SK, Shaibu S, Ticklay I, Grigg J, Barratt B. Characterising sources of PM 2·5 exposure for school children with asthma: a personal exposure study across six cities in sub-Saharan Africa. THE LANCET. CHILD & ADOLESCENT HEALTH 2024; 8:17-27. [PMID: 38000380 PMCID: PMC10716619 DOI: 10.1016/s2352-4642(23)00261-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 09/21/2023] [Accepted: 09/25/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND Air pollution is the second largest risk to health in Africa, and children with asthma are particularly susceptible to its effects. Yet, there is a scarcity of air pollution exposure data from cities in sub-Saharan Africa. We aimed to identify potential exposure reduction strategies for school children with asthma living in urban areas in sub-Saharan Africa. METHODS This personal exposure study was part of the Achieving Control of Asthma in Children in Africa (ACACIA) project. Personal exposure to particulate matter (PM) was monitored in school children in six cities in sub-Saharan Africa (Blantyre, Malawi; Durban, South Africa; Harare, Zimbabwe; Kumasi, Ghana; Lagos, Nigeria; and Moshi, Tanzania). Participants were selected if they were aged 12-16 years and had symptoms of asthma. Monitoring was conducted between June 21, and Nov 26, 2021, from Monday morning (approximately 1000 h) to Friday morning (approximately 1000 h), by use of a bespoke backpack with a small air pollution monitoring unit with an inbuilt Global Positioning System (GPS) data logger. Children filled in a questionnaire detailing potential sources of air pollution during monitoring and exposures were tagged into three different microenvironments (school, commute, and home) with GPS coordinates. Mixed-effects models were used to identify the most important determinants of children's PM2·5 (PM <2·5 μm in diameter) exposure. FINDINGS 330 children were recruited across 43 schools; of these, 297 had valid monitoring data, and 1109 days of valid data were analysed. Only 227 (20%) of 1109 days monitored were lower than the current WHO 24 h PM2·5 exposure health guideline of 15 μg/m3. Children in Blantyre had the highest PM2·5 exposure (median 41·8 μg/m3), whereas children in Durban (16·0 μg/m3) and Kumasi (17·9 μg/m3) recorded the lowest exposures. Children had significantly higher PM2·5 exposures at school than at home in Kumasi (median 19·6 μg/m3vs 14·2 μg/m3), Lagos (32·0 μg/m3vs 18·0 μg/m3), and Moshi (33·1 μg/m3vs 23·6 μg/m3), while children in the other three cities monitored had significantly higher PM2·5 exposures at home and while commuting than at school (median 48·0 μg/m3 and 43·2 μg/m3vs 32·3 μg/m3 in Blantyre, 20·9 μg/m3 and 16·3 μg/m3vs 11·9 μg/m3 in Durban, and 22·7 μg/m3 and 25·4 μg/m3vs 16·4 μg/m3 in Harare). The mixed-effects model highlighted the following determinants for higher PM2·5 exposure: presence of smokers at home (23·0% higher exposure, 95% CI 10·8-36·4), use of coal or wood for cooking (27·1%, 3·9-56·3), and kerosene lamps for lighting (30·2%, 9·1-55·2). By contrast, 37·2% (95% CI 22·9-48·2) lower PM2·5 exposures were found for children who went to schools with paved grounds compared with those whose school grounds were covered with loose dirt. INTERPRETATION Our study suggests that the most effective changes to reduce PM2·5 exposures in these cities would be to provide paving in school grounds, increase the use of clean fuel for cooking and light in homes, and discourage smoking within homes. The most efficient way to improve air quality in these cities would require tailored interventions to prioritise different exposure-reduction policies in different cities. FUNDING UK National Institute for Health and Care Research.
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Affiliation(s)
- Shanon Lim
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, London, UK; Department of Civil and Environmental Engineering, Faculty of Engineering, The University of Auckland, Auckland, New Zealand
| | - Bibie Said
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre, Moshi, Tanzania; Kibong'oto Infectious Disease Hospital, Hai, Tanzania
| | | | - Gioia Mosler
- Centre for Genomics and Child Health, Blizard Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Emmanuel Addo-Yobo
- Department of Child Health, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Olayinka Olufunke Adeyeye
- Department of Medicine, Lagos State University College of Medicine, and Lagos State University Teaching Hospital, Ikeja Lagos, Nigeria
| | | | - Dimitris Evangelopoulos
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, London, UK
| | - Victoria Temitope Fapohunda
- Department of Medicine, Lagos State University College of Medicine, and Lagos State University Teaching Hospital, Ikeja Lagos, Nigeria
| | - Farida Fortune
- Centre for Oral immunobiology and Regenerative Medicine, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Chris J Griffiths
- Asthma UK Centre for Applied Research, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Sbekezelo Hlophe
- Department of Paediatrics and Child Health, Nelson R Mandela School of Clinical Medicine, College of Health Sciences, University of KwaZulu Natal, Durban, South Africa
| | - Marian Kasekete
- University of Zimbabwe Faculty of Medicine and Health Sciences, Harare, Zimbabwe
| | | | - Refiloe Masekela
- Department of Paediatrics and Child Health, Nelson R Mandela School of Clinical Medicine, College of Health Sciences, University of KwaZulu Natal, Durban, South Africa
| | | | - Blandina Theophil Mmbaga
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre, Moshi, Tanzania; Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Hilda Angela Mujuru
- University of Zimbabwe Faculty of Medicine and Health Sciences, Harare, Zimbabwe
| | - Rebecca Nantanda
- Makerere University Lung Institute, Makerere College of Health Sciences, Kampala Uganda
| | | | - James S Ngocho
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre, Moshi, Tanzania; Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Oluwafemi Tunde Ojo
- Department of Medicine, Lagos State University College of Medicine, and Lagos State University Teaching Hospital, Ikeja Lagos, Nigeria
| | | | - Sunshine Shaibu
- Department of Medicine, Lagos State University College of Medicine, and Lagos State University Teaching Hospital, Ikeja Lagos, Nigeria
| | - Ismail Ticklay
- University of Zimbabwe Faculty of Medicine and Health Sciences, Harare, Zimbabwe
| | - Jonathan Grigg
- Centre for Genomics and Child Health, Blizard Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Benjamin Barratt
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, London, UK; NIHR NPRU in Environmental Exposures and Health, Imperial College London, London, UK.
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McGrath S, Mukherjee R, Réquia WJ, Lee WC. Wildfire exposure and academic performance in Brazil: A causal inference approach for spatiotemporal data. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167625. [PMID: 37804967 DOI: 10.1016/j.scitotenv.2023.167625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/12/2023] [Accepted: 10/04/2023] [Indexed: 10/09/2023]
Abstract
As the frequency and intensity of wildfires are projected to globally amplify due to climate change, there is a growing need to quantify the impact of exposure to wildfires in vulnerable populations such as adolescents. In our study, we applied rigorous causal inference methods to estimate the effect of wildfire exposure on the academic performance of high school students in Brazil between 2009 and 2015. Using longitudinal data from 8,183 high schools across 1,571 municipalities in Brazil, we estimated that the average performance in most academic subjects decreases under interventions that increase wildfire exposure, e.g., a decrease of 1.8 % (p = 0.01) in the natural sciences when increasing the wildfire density from 0.0035 wildfires/km2 (first quantile in the sample) to 0.0222 wildfires/km2 (third quartile). Furthermore, these effects considerably worsened over time. Our findings highlight the adverse impact of wildfires on educational outcomes.
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Affiliation(s)
- Sean McGrath
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Rajarshi Mukherjee
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Weeberb J Réquia
- Center for Environment and Public Health Studies, School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Brazil
| | - Wan-Chen Lee
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan.
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17
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Hayes L, Mejia-Arangure JM, Errington A, Bramwell L, Vega E, Nunez-Enriquez JC, Namdeo A, Entwistle J, Miquelajauregui Y, Jaimes-Palomera M, Torres N, Rascón-Pacheco RA, Duarte-Rodríguez DA, McNally R. Relationship between air quality and asthma-related emergency hospital admissions in Mexico City 2017-2019. Thorax 2023; 79:43-49. [PMID: 37940200 PMCID: PMC10803984 DOI: 10.1136/thorax-2022-219262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/22/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Previous studies found exposure to air pollution leads to exacerbations of asthma in paediatric and adult patients and increases asthma-related emergency hospital admissions (AREHA). METHODS AREHAs and levels of air pollutants (PM10, PM2.5 and NO2) were obtained from Mexico City for the period 2017-2019. A time-series approach was used to explore the relationship between air pollutants and AREHA. Relative risks of AREHA were estimated using a negative binomial regression in young children (less than 5 years) and adults (greater than 18 years). RESULTS There was a positive association between AREHA and PM10, PM2.5 and NO2 in adults, which remained after mutual adjustment for these pollutants. The relative risk (RR) of admission in adults increased by 3% (95% CI 1% to 4%) for a 10 µg/m3 increase in PM10, 1% (0.03% to 3%) for a 5 µg/m3 increase in PM2.5 and by 1% (0.06% to 2%) for a 5 µg/m3 increase in NO2. In contrast, in young children, AREHAs were negatively associated with PM10 after adjustment for NO2 (RR 0.97 (0.95 to 0.99) for a 10 µg/m3 and with NO2 after adjustment for PM10 and PM2.5 (RR 0.98 (0.96 to 0.99) and 0.97 (0.96 to 0.99), respectively, for a 5 µg/m3 increase in NO2). AREHAs in children were not associated with PM2.5 after adjustment for NO2. CONCLUSIONS Ambient air pollution, within the previous week, was associated with emergency hospital admissions for asthma to public hospitals in adults in Mexico City. The relationship in children was less consistent. Further work is needed to explore why differences between adults and children exist to inform appropriate interventions to benefit public health.
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Affiliation(s)
- Louise Hayes
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Juan Manuel Mejia-Arangure
- Unidad de Investigación Médica en Genética Humana, UMAE Hospital de Pediatría CMN Siglo XXI Dr Silvestre Frenk Freund Instituto Mexicano del Seguro Social, Instituto Mexicano del Seguro Social, Mexico City, Mexico
- Facultad de Medicina, National Autonomous University of Mexico (UNAM), Mexico City, Mexico
- Cancer Genomic, National Institute of Genomic Medicine, Mexico City, Mexico
| | - Adam Errington
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Lindsay Bramwell
- Department of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Elizabeth Vega
- Instituto de Ciencias de la Atmosfera y Cambio Climatico, UNAM, Mexico City, Mexico
| | - Juan Carlos Nunez-Enriquez
- Unidad de Investigación Médica en Epidemiología Clínica, UMAE Hospital de Pediatría CMN Siglo XXI Dr Silvestre Frenk Freund Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Anil Namdeo
- Department of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Jane Entwistle
- Department of Geography and Environmental Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Yosune Miquelajauregui
- Laboratorio Nacional de Ciencias de la Sostenibilidad, Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
| | - Mónica Jaimes-Palomera
- Dirección de Monitoreo de Calidad del Aire, Secretaria del Medio Ambiente, Gobierno de la Ciudad de Mexico, Mexico City, Mexico
| | - Nancy Torres
- Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - R Alberto Rascón-Pacheco
- Unidad de Educación, Investigación y Políticas de Salud, Instituto Mexicano del Seguro Social, Ciudad de Mexico, Mexico
| | - David A Duarte-Rodríguez
- Unidad de Investigación Médica en Epidemiología Clínica, UMAE Hospital de Pediatría CMN Siglo XXI Dr Silvestre Frenk Freund Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Richard McNally
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
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Chen D, Billmire M, Loughner CP, Bredder A, French NHF, Kim HC, Loboda TV. Simulating spatio-temporal dynamics of surface PM 2.5 emitted from Alaskan wildfires. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:165594. [PMID: 37467978 DOI: 10.1016/j.scitotenv.2023.165594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 07/13/2023] [Accepted: 07/15/2023] [Indexed: 07/21/2023]
Abstract
Wildfire is a major disturbance agent in Arctic boreal and tundra ecosystems that emits large quantities of atmospheric pollutants, including PM2.5. Under the substantial Arctic warming which is two to three times of global average, wildfire regimes in the high northern latitude regions are expected to intensify. This imposes a considerable threat to the health of the people residing in the Arctic regions. Alaska, as the northernmost state of the US, has a sizable rural population whose access to healthcare is greatly limited by a lack of transportation and telecommunication infrastructure and low accessibility. Unfortunately, there are only a few air quality monitoring stations across the state of Alaska, and the air quality of most remote Alaskan communities is not being systematically monitored, which hinders our understanding of the relationship between wildfire emissions and human health within these communities. Models simulating the dispersion of pollutants emitted by wildfires can be extremely valuable for providing spatially comprehensive air quality estimates in areas such as Alaska where the monitoring station network is sparse. In this study, we established a methodological framework that is based on an integration of the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, the Wildland Fire Emissions Inventory System (WFEIS), and the Arctic-Boreal Vulnerability Experiment (ABoVE) Wildfire Date of Burning (WDoB) dataset, an Arctic-oriented fire product. Through our framework, daily gridded surface-level PM2.5 concentrations for the entire state of Alaska between 2001 and 2015 for which wildfires are responsible can be estimated. This product reveals the spatio-temporal patterns of the impacts of wildfires on the regional air quality in Alaska, which, in turn, offers a direct line of evidence indicating that wildfire is the dominant driver of PM2.5 concentrations over Alaska during the fire season. Additionally, it provides critical data inputs for research on understanding how wildfires affect human health which creates the basis for the development of effective and efficient mitigation efforts.
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Affiliation(s)
- Dong Chen
- Department of Geographical Sciences, University of Maryland, College Park, MD, USA.
| | - Michael Billmire
- Michigan Tech Research Institute, Michigan Technological University, Ann Arbor, MI, USA.
| | - Christopher P Loughner
- Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA.
| | - Allison Bredder
- Department of Geographical Sciences, University of Maryland, College Park, MD, USA.
| | - Nancy H F French
- Michigan Tech Research Institute, Michigan Technological University, Ann Arbor, MI, USA.
| | - Hyun Cheol Kim
- Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA; Cooperative Institute for Satellite Earth System Studies, University of Maryland, College Park, MD, USA.
| | - Tatiana V Loboda
- Department of Geographical Sciences, University of Maryland, College Park, MD, USA.
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19
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Nelin TD, Scott KA, Just AC, Burris HH. Place-Based Strategies Addressing Neighborhood Environments to Improve Perinatal and Preterm Infant Outcomes. CHILDREN (BASEL, SWITZERLAND) 2023; 10:1646. [PMID: 37892309 PMCID: PMC10605196 DOI: 10.3390/children10101646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/21/2023] [Accepted: 09/30/2023] [Indexed: 10/29/2023]
Abstract
Preterm birth (defined as birth <37 weeks of gestation) is a significant health concern globally, with lasting implications for individuals, families, and society. In the United States, high preterm birth rates among Black and low-income populations likely result from differences in environmental exposures. Structural racism and economic disadvantage have led to unequal distribution of polluting industrial sites and roadways across society as well as differential access to health-promoting resources which contribute to preterm birth risk. Once born, preterm infants remain at risk for numerous environmentally responsive adverse health outcomes that affect growth and development throughout childhood and adulthood. In this commentary, we describe associations of neighborhood environments with pregnancy and preterm infant health outcomes and propose strategies to address harmful exposures that affect families across the lifespan.
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Affiliation(s)
- Timothy D. Nelin
- Division of Neonatology, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA; (K.A.S.); (H.H.B.)
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Leonard Davis Institute of Health Economics, Philadelphia, PA 19104, USA
| | - Kristan A. Scott
- Division of Neonatology, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA; (K.A.S.); (H.H.B.)
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Allan C. Just
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI 02912, USA;
| | - Heather H. Burris
- Division of Neonatology, Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA; (K.A.S.); (H.H.B.)
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Leonard Davis Institute of Health Economics, Philadelphia, PA 19104, USA
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Zhang Y, Xu X, Zhang G, Li Q, Luo Z. The association between PM2.5 concentration and the severity of acute asthmatic exacerbation in hospitalized children: A retrospective study in Chongqing, China. Pediatr Pulmonol 2023; 58:2733-2745. [PMID: 37530510 DOI: 10.1002/ppul.26557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 05/07/2023] [Accepted: 06/07/2023] [Indexed: 08/03/2023]
Abstract
BACKGROUND Ambient PM2.5 is associated with asthma exacerbation. The association between the concentration of PM2.5 and the severity of asthma exacerbation has yet to be thoroughly clarified. The study aims to explore the association between the piror 30 days average concentration of PM2.5 and the severity of acute asthma exacerbation in hospitalized children. METHODS A total of 269 children with acute exacerbation of asthma were enrolled and divided into three groups according to the PM2.5 exposure concentrations: group 1 (PM2.5: <37.5 μg/m3 ), group 2 (PM2.5: 37.5-75 μg/m3 ), group 3 (PM2.5: ≥75 μg/m3 ), respectively. The ordered logistic regression modeling was conducted to explore the influence of daily PM2.5 concentration on the clinical severity of children's asthma exacerbation. Multiple linear regression was conducted to explore the association between the concentration of PM2.5 and the length of stay in the hospital (LOS). We also conducted a receiver operating characteristic (ROC) curve analysis to explore the cutoff value of PM2.5 to predict the children's asthma exacerbation. RESULTS There was no statistical difference among the three groups of children in gender, age, body mass index, ethnicity, the first diagnosis of asthma, allergic history, passive smoke exposure, or family history of asthma. There was a statistically significant difference in many hospitalization characteristics (p < 0.05) among the three groups of children. Significant differences were found in terms of accessory muscles of respiration (p = 0.005), respiratory failure (p = 0.012), low respiratory tract infectious (p = 0.020), and the severity of asthma exacerbation (p < 0.001) among the three groups. PM2.5 concentration was primarily positively correlated to neutrophile inflammation. The ordered multivariate logistic regression model showed that higher PM2.5 concentrations were significantly associated with greater odds of more severe asthma exacerbation in one and two-pollutant models. The adjusted odds ratio of severe asthma exacerbation was 1.029 (1.009, 1.049) in the one-pollutant model. The most significant odds ratio of severe asthma exacerbation was 1.050 (1.027, 1.073) when controlling NO2 in the two-pollutant models. Multiple linear regression showed that PM2.5 concentration was significantly associated with longer LOS in both one-pollutant and two-pollutant models. By performing ROC analysis, the average daily concentration of 44.5 µg/m3 of PM2.5 (AUC = 0.622, p = 0.002) provided the best performance to predict severe asthma of children exacerbation with a sensitivity of 59.2% and a specificity of 63.8%. CONCLUSION The increased prior 30 days average concentration of PM2.5 was associated with greater asthma exacerbation severity and longer length of stay in the hospital of children with asthma exacerbation.
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Affiliation(s)
- Yueming Zhang
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Department of Respiratory, Xi'an Children's Hospital, Xi'an, Shaanxi, China
| | - Ximing Xu
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Big Data Center for Children's Medical Care, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Guangli Zhang
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Qinyuan Li
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Zhengxiu Luo
- Department of Respiratory Medicine, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
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21
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Shi Y, Du Z, Zhang J, Han F, Chen F, Wang D, Liu M, Zhang H, Dong C, Sui S. Construction and evaluation of hourly average indoor PM 2.5 concentration prediction models based on multiple types of places. Front Public Health 2023; 11:1213453. [PMID: 37637795 PMCID: PMC10447970 DOI: 10.3389/fpubh.2023.1213453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/28/2023] [Indexed: 08/29/2023] Open
Abstract
Background People usually spend most of their time indoors, so indoor fine particulate matter (PM2.5) concentrations are crucial for refining individual PM2.5 exposure evaluation. The development of indoor PM2.5 concentration prediction models is essential for the health risk assessment of PM2.5 in epidemiological studies involving large populations. Methods In this study, based on the monitoring data of multiple types of places, the classical multiple linear regression (MLR) method and random forest regression (RFR) algorithm of machine learning were used to develop hourly average indoor PM2.5 concentration prediction models. Indoor PM2.5 concentration data, which included 11,712 records from five types of places, were obtained by on-site monitoring. Moreover, the potential predictor variable data were derived from outdoor monitoring stations and meteorological databases. A ten-fold cross-validation was conducted to examine the performance of all proposed models. Results The final predictor variables incorporated in the MLR model were outdoor PM2.5 concentration, type of place, season, wind direction, surface wind speed, hour, precipitation, air pressure, and relative humidity. The ten-fold cross-validation results indicated that both models constructed had good predictive performance, with the determination coefficients (R2) of RFR and MLR were 72.20 and 60.35%, respectively. Generally, the RFR model had better predictive performance than the MLR model (RFR model developed using the same predictor variables as the MLR model, R2 = 71.86%). In terms of predictors, the importance results of predictor variables for both types of models suggested that outdoor PM2.5 concentration, type of place, season, hour, wind direction, and surface wind speed were the most important predictor variables. Conclusion In this research, hourly average indoor PM2.5 concentration prediction models based on multiple types of places were developed for the first time. Both the MLR and RFR models based on easily accessible indicators displayed promising predictive performance, in which the machine learning domain RFR model outperformed the classical MLR model, and this result suggests the potential application of RFR algorithms for indoor air pollutant concentration prediction.
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Affiliation(s)
- Yewen Shi
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Zhiyuan Du
- Department of Environmental Health, Key Laboratory of the Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, China
| | - Jianghua Zhang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Fengchan Han
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Feier Chen
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Duo Wang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Mengshuang Liu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Hao Zhang
- Department of Environmental Health, Key Laboratory of the Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, China
| | - Chunyang Dong
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Shaofeng Sui
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
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Kelly G, Idubor OI, Binney S, Schramm PJ, Mirabelli MC, Hsu J. The Impact of Climate Change on Asthma and Allergic-Immunologic Disease. Curr Allergy Asthma Rep 2023; 23:453-461. [PMID: 37284923 PMCID: PMC10613957 DOI: 10.1007/s11882-023-01093-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2023] [Indexed: 06/08/2023]
Abstract
PURPOSE OF REVIEW This review discusses climate change-related impacts on asthma and allergic-immunologic disease, relevant US public health efforts, and healthcare professional resources. RECENT FINDINGS Climate change can impact people with asthma and allergic-immunologic disease through various pathways, including increased exposure to asthma triggers (e.g., aeroallergens, ground-level ozone). Climate change-related disasters (e.g., wildfires, floods) disrupting healthcare access can complicate management of any allergic-immunologic disease. Climate change disproportionately affects some communities, which can exacerbate disparities in climate-sensitive diseases like asthma. Public health efforts include implementing a national strategic framework to help communities track, prevent, and respond to climate change-related health threats. Healthcare professionals can use resources or tools to help patients with asthma and allergic-immunologic disease prevent climate change-related health impacts. Climate change can affect people with asthma and allergic-immunologic disease and exacerbate health disparities. Resources and tools are available to help prevent climate change-related health impacts at the community and individual level.
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Affiliation(s)
- Grace Kelly
- Epidemiology Elective Program, National Center for STLT Public Health Infrastructure and Workforce, and Asthma and Community Health Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | - Osatohamwen I Idubor
- Asthma and Community Health Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, CDC, 4770 Buford Highway Mailstop S106-6, Atlanta, GA, 30341, USA
| | - Sophie Binney
- Asthma and Community Health Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, CDC, 4770 Buford Highway Mailstop S106-6, Atlanta, GA, 30341, USA
- Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA
| | - Paul J Schramm
- Climate and Health Program, Division of Environmental Health Science and Practice, National Center for Environmental Health, CDC, Atlanta, GA, USA
| | - Maria C Mirabelli
- Asthma and Community Health Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, CDC, 4770 Buford Highway Mailstop S106-6, Atlanta, GA, 30341, USA
| | - Joy Hsu
- Asthma and Community Health Branch, Division of Environmental Health Science and Practice, National Center for Environmental Health, CDC, 4770 Buford Highway Mailstop S106-6, Atlanta, GA, 30341, USA.
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Wei S, Liao J, Xue T, Yu K, Fu X, Wang R, Dang X, Zhang C, Qiao H, Jiang S, Xiao J, Dong L, Yin J, Yan X, Jia W, Zhang G, Chen R, Zhou B, Song B, Li J, Yin M, Zhang L, Xie L, Dong S, Sun J, Gao P, Miao B, Li W, He L, Ning Q, Zhao L, Liu H, Cao H, Wang G. Ambient fine particulate matter and allergic symptoms in the middle-aged and elderly population: results from the PIFCOPD study. Respir Res 2023; 24:139. [PMID: 37231445 DOI: 10.1186/s12931-023-02433-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/24/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND The associations between short- and long-term exposure to ambient fine particulate matter with an aerodynamic diameter ≤ 2.5 µm (PM2.5) and allergic symptoms in middle-aged and elderly populations remain unclear, particularly in China, where most cities have severe air pollution. METHODS Participants (n = 10,142; age = 40-75 years) were recruited from ten regions in China from 2018 to 2021 for the Predictive Value of Inflammatory Biomarkers and Forced Expiratory Volume in 1 s (FEV1) for Chronic Obstructive Pulmonary Disease (PIFCOPD) study. Short-term (lag0 and lag0-7 day) and long-term (1-, 3- and 5-year) PM2.5 concentrations at residences were extracted from the air pollutant database known as Tracking Air Pollution (TAP) in China. Multivariate logistic regression models were used to estimate associations for short- and long-term PM2.5 exposure concentrations and long-term exposure models were additionally adjusted for short-term deviations. RESULTS A 10 µg/m3 increase in PM2.5 on the day the allergic symptoms questionnaire was administered (lag0 day) was associated with higher odds of allergic nasal (1.09, 95% CI 1.05, 1.12) and eye symptoms (1.08, 95% CI 1.05, 1.11), worsening dyspnea caused by allergens (1.06, 95% CI 1.02, 1.10), and ≥ 2 allergic symptoms (1.07, 95% CI 1.03, 1.11), which was similar in the lag0-7 day concentrations. A 10 µg/m3 increase in the 1-year average PM2.5 concentration was associated with an increase of 23% for allergic nasal symptoms, 22% for eye symptoms, 20% for worsening dyspnea caused by allergens, and 21% for ≥ 2 allergic symptoms, similar to the 3- and 5-year average PM2.5 concentrations. These associations between long-term PM2.5 concentration and allergic symptoms were generally unchanged after adjustment for short-term deviations. CONCLUSIONS Short- and long-term exposure to ambient PM2.5 was associated with an increased risk of allergic nasal and eye symptoms, worsening dyspnea caused by allergens, and ≥ 2 allergic symptoms. TRIAL REGISTRATION Clinical trial ID: NCT03532893 (29 Mar 2018).
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Affiliation(s)
- Shanshan Wei
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Jiping Liao
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Tao Xue
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Kunyao Yu
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Xiuhua Fu
- Division of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
| | - Ruiying Wang
- Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xiaomin Dang
- Respiratory and Critical Care Medicine, Xi'an Jiaotong University Medical College First Affiliated Hospital, Xi'an, Shaanxi, China
| | - Cheng Zhang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Hua Qiao
- The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China
| | - Shujuan Jiang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jianhong Xiao
- Mindong Hospital of Ningde City, Ningde, Fujian, China
| | - Lixia Dong
- Tianjin Medical University General Hospital, Tianjin, China
| | - Jinzhi Yin
- The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Xixin Yan
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Respiratory Critical Care, Shijiazhuang, Hebei, China
| | - Weihua Jia
- General Hospital of Taiyuan Iron & Steel (Group) Co., LTD, Taiyuan, Shanxi, China
| | - Guifang Zhang
- Jinyuan Community Health Service Center, Taiyuan, Shanxi, China
| | - Rui Chen
- Division of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
| | - Bo Zhou
- Respiratory and Critical Care Medicine, Xi'an Jiaotong University Medical College First Affiliated Hospital, Xi'an, Shaanxi, China
| | - Beibei Song
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Respiratory Critical Care, Shijiazhuang, Hebei, China
| | - Jing Li
- Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Mengyu Yin
- Tianjin Medical University General Hospital, Tianjin, China
| | - Lina Zhang
- Jining First People's Hospital, Jining, Shandong, China
| | - Liping Xie
- General Hospital of Taiyuan Iron & Steel (Group) Co., LTD, Taiyuan, Shanxi, China
| | - Shaochen Dong
- The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China
| | - Jian Sun
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Peng Gao
- The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Bifang Miao
- Mindong Hospital of Ningde City, Ningde, Fujian, China
| | - Wei Li
- The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Lan He
- Division of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
| | - Qian Ning
- Respiratory and Critical Care Medicine, Xi'an Jiaotong University Medical College First Affiliated Hospital, Xi'an, Shaanxi, China
| | - Limin Zhao
- Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Hengyi Liu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Han Cao
- Department of Biostatistics, Peking University First Hospital, Beijing, China
| | - Guangfa Wang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing, 100034, China.
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Zhang Y, Liu Y, Li S, Xu R, Yu P, Ramos C, Ebrahimifakhar A, Guo Y. Efficiency of portable air purification on public buses: A pilot study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 329:121696. [PMID: 37088254 DOI: 10.1016/j.envpol.2023.121696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/15/2023] [Accepted: 04/20/2023] [Indexed: 05/03/2023]
Abstract
High concentrations of fine particulate matter (PM2.5) have been frequently reported in public transit systems and can cause adverse health effect. The portable air purifier is an inexpensive solution that could potentially clean in-cabin PM2.5. This study aims to find the PM2.5 removal efficiency of portable air purifiers in a public transit bus. In various scenarios, after artificially preloading the in-cabin PM2.5 concentration to 400 μg/m3, the concentrations were measured every 10 s, with and without the intervention of air purifiers. In a test bus with a volume of approximately 62.5 m3, three portable air purifiers were capable of reducing the average concentration of PM2.5 by 42-74%, from 400 μg/m3, to levels below 15 μg/m3, the acceptable short-term exposure concentration recommended by WHO. When high concentrations of outdoor PM2.5 entered the bus, purifiers maintained a relatively low level of in-cabin PM2.5. Air purifiers were more effective in reducing in-cabin PM2.5 than traditional air filtration and ventilation methods (air conditioning system filtration and door opening) in public transit buses. The deployed air purifiers reduced the concentration of particulate matter inside the bus, which may reduce the health risk of PM2.5 exposure and the spreading of airborne infections in public transit, thus, implying the potential to enhance passengers' and drivers' health.
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Affiliation(s)
- Yuxi Zhang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Yanming Liu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Rongbin Xu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Pei Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | | | | | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia.
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Christian WJ, Flunker J, May B, Westneat S, Sanderson WT, Schoenberg N, Browning SR. Adult asthma associated with roadway density and housing in rural Appalachia: the Mountain Air Project (MAP). Environ Health 2023; 22:28. [PMID: 36967398 PMCID: PMC10041800 DOI: 10.1186/s12940-023-00984-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 03/15/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Appalachian Kentucky is a rural area with a high prevalence of asthma among adults. The relative contribution of environmental exposures in the etiology of adult asthma in these populations has been understudied. OBJECTIVE This manuscript describes the aims, study design, methods, and characteristics of participants for the Mountain Air Project (MAP), and focuses on associations between small area environmental exposures, including roadways and mining operations, and lifetime and current asthma in adults. METHODS A cohort of residents, aged 21 and older, in two Kentucky counties, was enrolled in a community-based, cross-sectional study. Stratified cluster sampling was used to select small geographic areas denoted as 14-digit USGS hydrologic units (HUCs). Households were enumerated within selected HUCs. Community health workers collected in-person interviews. The proximity of nearby active and inactive coal mining operations, density of oil and gas operations, and density of roadways were characterized for all HUCs. Poisson regression analyses were used to estimate adjusted prevalence ratios. RESULTS From 1,459 eligible households contacted, 1,190 individuals were recruited, and 972 persons completed the interviews. The prevalence of lifetime asthma was 22.8%; current asthma was 16.3%. Adjusting for covariates, roadway density was positively associated with current asthma in the second (aPR = 1.61; 95% CI 1.04-2.48) and third tertiles (aPR = 2.00; 95% CI 1.32-3.03). Increased risk of current asthma was associated with residence in public, multi-unit housing (aPR = 2.01; 95% CI 1.27-3.18) compared to a residence in a single-family home. There were no notable associations between proximity to coal mining and oil and gas operations and asthma prevalence. CONCLUSIONS This study suggests that residents in rural areas with higher roadway density and those residing in public housing units may be at increased risk for current asthma after accounting for other known risk factors. Confirming the role of traffic-related particulates in producing high asthma risk among adults in this study contributes to the understanding of the multiple environmental exposures that influence respiratory health in the Appalachia region.
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Affiliation(s)
- W Jay Christian
- Department of Epidemiology and Environmental Health, College of Public Health, The University of Kentucky, 111 Washington Ave, Lexington, KY, 40536, USA
| | - John Flunker
- Department of Epidemiology and Environmental Health, College of Public Health, The University of Kentucky, 111 Washington Ave, Lexington, KY, 40536, USA
| | - Beverly May
- Department of Epidemiology and Environmental Health, College of Public Health, The University of Kentucky, 111 Washington Ave, Lexington, KY, 40536, USA
| | - Susan Westneat
- Department of Epidemiology and Environmental Health, College of Public Health, The University of Kentucky, 111 Washington Ave, Lexington, KY, 40536, USA
| | - Wayne T Sanderson
- Department of Biosystems and Agricultural Engineering, College of Agriculture, Food, and Environment, University of Kentucky, Lexington, KY, USA
| | - Nancy Schoenberg
- Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Steven R Browning
- Department of Epidemiology and Environmental Health, College of Public Health, The University of Kentucky, 111 Washington Ave, Lexington, KY, 40536, USA.
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Li J, Jahan J, Newcomb P. Environmental characteristics and disparities in adult asthma in north central Texas urban counties. Public Health 2023; 217:164-172. [PMID: 36893633 DOI: 10.1016/j.puhe.2023.01.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 01/24/2023] [Accepted: 01/31/2023] [Indexed: 03/09/2023]
Abstract
OBJECTIVES Disparities in asthma prevalence present a persistent challenge to public health. The complex nature of the issue requires studies through a wide range of lenses. To date, little research has examined associations between asthma and multiple social and environmental factors simultaneously. This study aims to fill the gap with a focus on the impacts of multiple environmental characteristics and social determinants of health on asthma. STUDY DESIGN This study uses secondary analysis with data from a variety of sources to analyze the effects of environmental and social factors on adult asthma occurrence in North Central Texas. METHOD Hospital records and demographic and environmental data for four urban counties in North Central Texas (Collin, Dallas, Denton, and Tarrant) come from the Dallas/Fort Worth Hospital Council Foundation, the US census, the North Central Texas Council of Governments, and the Railroad Commission of Texas. The data were integrated using ArcGIS. A hotspot analysis was performed to inspect the spatial patterns of hospital visits for asthma exacerbations in 2014. The impacts of multiple environmental characteristics and social determinants of health were modeled using negative binomial regression. RESULTS The results revealed spatial clusters of adult asthma prevalence and disparities by race, class, and education. The occurrence of asthma exacerbations was positively associated with exposure to traffic-related air pollution, energy-related drilling activities, and older housing stock and negatively linked to green space. CONCLUSIONS Associations between built environmental characteristics and asthma prevalence have implications for urban planners, healthcare professionals, and policy makers. Empirical evidence for the role of social determinants of health supports continuing efforts in policies and practices to improve education and reduce socio-economic inequities.
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Affiliation(s)
- J Li
- College of Architecture, Planning and Public Affairs, University of Texas at Arlington, Box 19108, 601 W. Nedderman Drive, Suite203, Arlington, TX 76019, USA.
| | - J Jahan
- College of Architecture, Planning and Public Affairs, University of Texas at Arlington, Box 19108, 601 W. Nedderman Drive, Suite203, Arlington, TX 76019, USA.
| | - P Newcomb
- Texas Health Resources, 612 E. Lamar Boulevard, Arlington, TX 76011, USA.
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Kumar R, Mrigpuri P, Sarin R, Saini JK, Yadav R, Nagori A, Kabra SK, Mukherjee A, Yadav G. Air pollution and its effects on emergency room visits in tertiary respiratory care centers in Delhi, India. Monaldi Arch Chest Dis 2023; 94. [PMID: 36843510 DOI: 10.4081/monaldi.2023.2511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 02/15/2023] [Indexed: 02/28/2023] Open
Abstract
Environmental pollution has harmful effects on human health, particularly the respiratory system. We aimed to study the impact of daily ambient air pollution on daily emergency room visits for acute respiratory symptoms. This study was conducted in two tertiary respiratory care centres in Delhi, India. Daily counts of emergency room visits were collected. All patients attending the emergency room were screened for acute onset (less than 2 weeks) of respiratory symptoms and were recruited if they were staying in Delhi continuously for at least 4 weeks and having onset (≤2 weeks) of respiratory symptoms. Daily average air pollution data for the study period was obtained from four continuous ambient air quality monitoring stations. A total of 61,285 patients were screened and 11,424 were enrolled from June 2017 to February 2019. Cough and difficulty in breathing were most common respiratory symptoms. Poor air quality was observed during the months of October to December. Emergency room visits with acute respiratory symptoms significantly increased per standard deviation increase in PM10 from lag days 2-7. Increase in wheezing was primarily seen with increase in NO2. Pollutant levels have effect on acute respiratory symptoms and thus influence emergency room visits. *************************************************************** *Appendix Authors list Kamal Singhal,1 Kana Ram Jat,2 Karan Madan,3 Mohan P. George,4 Kalaivani Mani,5 Randeep Guleria,3 Ravindra Mohan Pandey,5 Rupinder Singh Dhaliwal,6 Rakesh Lodha,2 Varinder Singh1 1Department of Paediatrics, Lady Hardinge Medical College and associated Kalawati Saran Children's Hospital, New Delhi, India 2Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, India 3Department of Pulmonary Medicine, Critical Care and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India 4Department of Environment, Delhi Pollution Control Committee, Kashmere Gate, New Delhi, India 5Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India 6Department of Non-communicable Diseases, Indian Council of Medical Research, New Delhi, India.
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Affiliation(s)
- Raj Kumar
- Department of Pulmonary Medicine, Vallabhbhai Patel Chest Institute, University of Delhi, New Delhi.
| | - Parul Mrigpuri
- Department of Pulmonary Medicine, Vallabhbhai Patel Chest Institute, University of Delhi, New Delhi.
| | - Rohit Sarin
- Department of Pulmonary Medicine, National Institute of Tuberculosis and Respiratory Diseases, New Delhi.
| | - Jitendra Kumar Saini
- Department of Pulmonary Medicine, National Institute of Tuberculosis and Respiratory Diseases, New Delhi.
| | - Rashmi Yadav
- Department of Paediatrics, All India Institute of Medical Sciences, New Delhi.
| | | | - Sushil Kumar Kabra
- Department of Paediatrics, All India Institute of Medical Sciences, New Delhi.
| | - Arpana Mukherjee
- Department of Paediatrics, All India Institute of Medical Sciences, New Delhi.
| | - Geetika Yadav
- Department of Non-communicable Diseases, Indian Council of Medical Research, New Delhi.
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Chen SJ, Huang Y, Yu F, Feng X, Zheng YY, Li Q, Niu Q, Jiang YH, Zhao LQ, Wang M, Cheng PP, Song LJ, Liang LM, He XL, Xiong L, Xiang F, Wang X, Ma WL, Ye H. BMAL1/p53 mediating bronchial epithelial cell autophagy contributes to PM2.5-aggravated asthma. Cell Commun Signal 2023; 21:39. [PMID: 36803515 PMCID: PMC9940367 DOI: 10.1186/s12964-023-01057-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 01/27/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Fine particulate matter (PM2.5) is associated with increased incidence and severity of asthma. PM2.5 exposure disrupts airway epithelial cells, which elicits and sustains PM2.5-induced airway inflammation and remodeling. However, the mechanisms underlying development and exacerbation of PM2.5-induced asthma were still poorly understood. The aryl hydrocarbon receptor nuclear translocator-like protein 1 (BMAL1) is a major circadian clock transcriptional activator that is also extensively expressed in peripheral tissues and plays a crucial role in organ and tissue metabolism. RESULTS In this study, we found PM2.5 aggravated airway remodeling in mouse chronic asthma, and exacerbated asthma manifestation in mouse acute asthma. Next, low BMAL1 expression was found to be crucial for airway remodeling in PM2.5-challenged asthmatic mice. Subsequently, we confirmed that BMAL1 could bind and promote ubiquitination of p53, which can regulate p53 degradation and block its increase under normal conditions. However, PM2.5-induced BMAL1 inhibition resulted in up-regulation of p53 protein in bronchial epithelial cells, then increased-p53 promoted autophagy. Autophagy in bronchial epithelial cells mediated collagen-I synthesis as well as airway remodeling in asthma. CONCLUSIONS Taken together, our results suggest that BMAL1/p53-mediated bronchial epithelial cell autophagy contributes to PM2.5-aggravated asthma. This study highlights the functional importance of BMAL1-dependent p53 regulation during asthma, and provides a novel mechanistic insight into the therapeutic mechanisms of BMAL1. Video Abstract.
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Affiliation(s)
- Shuai-Jun Chen
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 13 Hang Kong Road, Wuhan, 430030, China
| | - Yi Huang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China
| | - Fan Yu
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China.,Key Laboratory of Respiratory Diseases, National Health Commission of China, Wuhan, China
| | - Xiao Feng
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 13 Hang Kong Road, Wuhan, 430030, China
| | - Yuan-Yi Zheng
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 13 Hang Kong Road, Wuhan, 430030, China
| | - Qian Li
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 13 Hang Kong Road, Wuhan, 430030, China
| | - Qian Niu
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China
| | - Ye-Han Jiang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China
| | - Li-Qin Zhao
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China
| | - Meng Wang
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 13 Hang Kong Road, Wuhan, 430030, China
| | - Pei-Pei Cheng
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 13 Hang Kong Road, Wuhan, 430030, China
| | - Lin-Jie Song
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China.,Key Laboratory of Respiratory Diseases, National Health Commission of China, Wuhan, China
| | - Li-Mei Liang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China.,Key Laboratory of Respiratory Diseases, National Health Commission of China, Wuhan, China
| | - Xin-Liang He
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China.,Key Laboratory of Respiratory Diseases, National Health Commission of China, Wuhan, China
| | - Liang Xiong
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China.,Key Laboratory of Respiratory Diseases, National Health Commission of China, Wuhan, China
| | - Fei Xiang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China.,Key Laboratory of Respiratory Diseases, National Health Commission of China, Wuhan, China
| | - Xiaorong Wang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China.,Key Laboratory of Respiratory Diseases, National Health Commission of China, Wuhan, China
| | - Wan-Li Ma
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 JieFang Avenue, Wuhan, 430022, China. .,Key Laboratory of Respiratory Diseases, National Health Commission of China, Wuhan, China.
| | - Hong Ye
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 13 Hang Kong Road, Wuhan, 430030, China. .,Key Laboratory of Respiratory Diseases, National Health Commission of China, Wuhan, China.
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Nasri SM, Putri FA, Sunarno S, Fauzia S, Ramdhan DH. PM 2.5 exposure and lung function impairment among fiber-cement industry workers. J Public Health Res 2023; 12:22799036221148989. [PMID: 36654813 PMCID: PMC9841852 DOI: 10.1177/22799036221148989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 12/14/2022] [Indexed: 01/16/2023] Open
Abstract
Introduction Numerous studies have reported respiratory impairment by exposure to fine particulate matter (PM2.5). However, limited studies investigated its effects on fiber cement roof workers. Thus, our study evaluated the impact of PM2.5 on pulmonary impairments among workers and its risk factors. Design and Method A total of 131 fiber cement roof workers have been chosen based on the inclusive criteria. Size-segregated particles were measured in the workplace of workers. Interview and spirometry tests were obtained to determine the respiratory impairments. Result The results showed the mean concentrations of PM2.5 had exceeded the WHO and US-EPA standards. A quarter of workers had lung restriction, lung obstruction, and mixed. Workers are most likely to have shortness of breath and wheezing. A significant correlation was found between smoking, production workers, and a long work period with abnormal lung function. Fiber cement roof workers are significantly at risk of exposure to PM2.5. They are most likely to acquire abnormal lung function due to PM2.5 exposure. Conclusion Our study recommended the industry constantly maintain its programs. The industry should keep using the wet process to prevent dust generation and water suppression from preventing dust spread, as well as to wear respiratory protection for workers to avoid PM2.5 exposure. We recommended as well to the industry to implement follow-up programs for workers with abnormal lung function. Further action is needed to protect the workers' occupational health in the fiber cement roof industry.
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Affiliation(s)
- Sjahrul Meizar Nasri
- Department of Occupational Health and Safety, Faculty of Public Health, Universitas Indonesia, Kampus UI, Depok, Indonesia,Sjahrul Meizar Nasri, Department of Occupational Health and Safety, Public Health Faculty, University of Indonesia, Building C, 1st Floor, Depok, West Java, 16424, Indonesia.
| | - Fiori Amelia Putri
- Department of Occupational Health and Safety, Faculty of Public Health, Universitas Indonesia, Kampus UI, Depok, Indonesia
| | - Stevan Sunarno
- Department of Occupational Health and Safety, Faculty of Public Health, Universitas Indonesia, Kampus UI, Depok, Indonesia
| | - Sifa Fauzia
- Department of Environmental Health, Faculty of Public Health, Universitas Indonesia, Kampus UI, Depok, Indonesia
| | - Doni Hikmat Ramdhan
- Department of Occupational Health and Safety, Faculty of Public Health, Universitas Indonesia, Kampus UI, Depok, Indonesia
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30
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Zhang Y, Guo Z, Zhang W, Li Q, Zhao Y, Wang Z, Luo Z. Effect of Acute PM2.5 Exposure on Lung Function in Children: A Systematic Review and Meta-Analysis. J Asthma Allergy 2023; 16:529-540. [PMID: 37193111 PMCID: PMC10183178 DOI: 10.2147/jaa.s405929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/19/2023] [Indexed: 05/18/2023] Open
Abstract
Objective The objective of this study was to conduct a systematic review and meta-analysis to identify the adverse effects of acute PM2.5 exposure on lung function in children. Design Systematic review and meta-analysis. Setting, participants and measures: Eligible studies analyzing PM2.5 level and lung function in children were screened out. Effect estimates of PM2.5 measurements were quantified using random effect models. Heterogeneity was investigated with Q-test and I2 statistics. We also conducted meta-regression and sensitivity analysis to explore the sources of heterogeneity, such as different countries and asthmatic status. Subgroup analyses were conducted to determine the effects of acute PM2.5 exposure on children of different asthmatic status and in different countries. Results A total of 11 studies with 4314 participants from Brazil, China and Japan were included finally. A 10 μg/m3 increase of PM2.5 was associated with a 1.74L/min (95% CI: -2.68, -0.90) decrease in peak expiratory flow (PEF). Since the asthmatic status and country could partly explain the heterogeneity, we conducted the subgroup analysis. Children with severe asthma were more susceptible to PM2.5 exposure (-3.11 L/min per 10 μg/m3 increase, 95% CI -4.54, -1.67) than healthy children (-1.61 L/min per 10 μg/m3 increase, 95% CI -2.34, -0.91). In the children of China, PEF decreased by 1.54 L/min (95% CI -2.33, -0.75) with a 10 μg/m3 increase in PM2.5 exposure. In the children of Japan, PEF decreased by 2.65 L/min (95% CI -3.82, -1.48) with a 10 μg/m3 increase of PM2.5 exposure. In contrast, no statistic association was found between every 10 μg/m3 increase of PM2.5 and lung function in children of Brazil (-0.38 L/min, 95% CI -0.91, 0.15). Conclusion Our results demonstrated that the acute PM2.5 exposure exerted adverse impacts on children's lung function, and children with severe asthma were more susceptible to the increase of PM2.5 exposure. The impacts of acute PM2.5 exposure varied across different countries.
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Affiliation(s)
- Yueming Zhang
- Department of Respiratory Medicine, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, People’s Republic of China
- Department of Respiratory, Xi’an Children’s Hospital, Xi’an, Shaanxi, People’s Republic of China
| | - Ziyao Guo
- Department of Respiratory Medicine, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, People’s Republic of China
| | - Wen Zhang
- Department of Respiratory, Xi’an Children’s Hospital, Xi’an, Shaanxi, People’s Republic of China
| | - Qinyuan Li
- Department of Respiratory Medicine, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, People’s Republic of China
| | - Yan Zhao
- Department of Respiratory Medicine, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, People’s Republic of China
| | - Zhili Wang
- Department of Respiratory Medicine, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, People’s Republic of China
| | - Zhengxiu Luo
- Department of Respiratory Medicine, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
- National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, People’s Republic of China
- Correspondence: Zhengxiu Luo, Department of Respiratory Medicine, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China, Email
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31
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Klimawandel und Kindergesundheit – Ein Aufruf zum Handeln. Monatsschr Kinderheilkd 2022. [DOI: 10.1007/s00112-022-01642-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
ZusammenfassungDer Klimawandel ist eine stille Krise und die größte Bedrohung unserer Zeit. Hitze, Extremwetterereignisse und Luftverschmutzung haben besondere Auswirkungen auf Frühgeburtlichkeit, akute und chronische Atemwegserkrankungen, Allergien und Asthma. Auch die Zunahme infektiöser Erkrankungen sowie eine erhöhte Exposition durch Karzinogene sowie deren Folgen werden beobachtet. Neben der Gefahr des Klimawandels für die somatische, hat die Krise auch Einfluss auf die mentale Gesundheit von Heranwachsenden und aggraviert das soziale Ungleichgewicht, wovon Kinder und Jugendliche in besonderer Weise betroffen sind.Um die von Wissenschaftler:innen prognostizierten Szenarien abzuwenden, braucht es zum einen ein rasches und umfängliches Agieren der Politik, aber auch ein Neudenken unseres Selbstverständnisses als für Kinder- und Jugendgesundheit Verantwortliche sowie eine grundlegende Neuordnung von Prioritäten. Als Akteur:innen im Gesundheitswesen stehen wir besonders in der Verantwortung, uns für eine gesunde Erde einzusetzen. Dies kann und muss schon heute auf verschiedenen Ebenen, als Ärzt:innen, Wissenschaftler:innen, auf Ebenen der Patient:innenversorgung und der Fachgesellschaften erfolgen, um allen Kindern und Jugendlichen eine lebenswerte Zukunft zu ermöglichen.
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32
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Shahunja KM, Sly PD, Huda MM, Mamun A. Trajectories of neighborhood environmental factors and their associations with asthma symptom trajectories among children in Australia: evidence from a national birth cohort study. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE & ENGINEERING 2022; 20:835-847. [PMID: 36406622 PMCID: PMC9672149 DOI: 10.1007/s40201-022-00824-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/04/2022] [Accepted: 08/09/2022] [Indexed: 06/16/2023]
Abstract
PURPOSE This study aims to investigate the prospective associations of neighborhood environmental exposure trajectories with asthma symptom trajectories during childhood developmental stages. METHODS We considered asthma symptom, neighborhood environmental factors, and socio-demographic data from the "Longitudinal Study of Australian Children (LSAC)". Group-based trajectory modeling was applied to identify the trajectories of asthma symptom, neighborhood traffic conditions, and neighborhood livability scales (considered for safety and facilities). We used multivariable logistic regression models to assess associations between various neighborhood environmental factors and asthma symptom trajectories. RESULTS We included 4,174 children from the LSAC cohort in our study. Three distinct trajectories for asthma symptom were the outcome variables of this study. Among the neighborhood environmental factors, we identified two distinct trajectories for the prevalence of heavy traffic on street, and two trajectories of neighborhood liveability scale. Compared to the 'Low/no' asthma symptoms trajectory group, children exposed to a 'persistently high' prevalence of heavy traffic on street was also significantly associated with both 'transient high' [relative risk ratio (RRR):1.40, 95% CI:1.25,1.58) and 'persistent high' (RRR: 1.33, 95% CI:1.17,1.50)] asthma symptom trajectory groups. Trajectory of moderate and static neighborhood liveability score was at increased risk of being classified as 'transient high' (RRR:1.16, 95% CI:1.07,1.25) and 'persistent high' (RRR:1.38, 95% CI:1.27,1.50) trajectories of asthma symptom. CONCLUSION Exposure to heavy traffic and poor neighborhood liveability increased the risk of having an unfavourable asthma symptom trajectory in childhood. Reducing neighborhood traffic load and improving neighborhood safety and amenities may facilitate a favorable asthma symptom trajectory among these children. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s40201-022-00824-z.
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Affiliation(s)
- K M Shahunja
- UQ Poche Centre for Indigenous Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Australia
- The Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Brisbane, Australia
| | - Peter D Sly
- Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - M Mamun Huda
- UQ Poche Centre for Indigenous Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Australia
| | - Abdullah Mamun
- UQ Poche Centre for Indigenous Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Australia
- The Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Brisbane, Australia
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33
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Wang Y, Wu Y, Zheng F, Zhang T, Wang M, Huang L, Fan X, Chen J, Xiao N. Health threat of PM 2.5-bound trace elements exposure on asthma hospital admission: A time-stratified case-crossover study. ENVIRONMENT INTERNATIONAL 2022; 170:107604. [PMID: 36334459 DOI: 10.1016/j.envint.2022.107604] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/11/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
Environmental pollution of trace elements has become of main concern due to the adverse effects. To estimate the impact of PM2.5-bound trace elements on human health, a time-stratified case-crossover study has been designed to examine the short-term associations between 28 elements and asthma hospitalizations from January 2019 to November 2021 in Xiamen, China. This research summarized the major components that pose health risks in different seasons and took risk assessment for different groups. We found that an inter-quartile range (IQR) increase of Ca, Fe, Mn, Pd, Si, and Ti was positively associated with the incidence of asthma in the lag of 0-4 days. In winter, the elements that predisposed the population to asthma attack were the most, such as Al, Ba, Ca, Cr, Cu, Fe, K, Mn, Pd, Si, and Ti, and these elements are at higher risk for longer periods of time. The discrepancy in risk levels and major elements of asthma diagnosis among various age groups were also found in this work. Our results provided insights into the development of specific policies to reduce the risk of asthma attacks due to exposure to PM2.5-bound trace elements.
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Affiliation(s)
- Yiyi Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Yangyang Wu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Feixue Zheng
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Ting Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
| | - Xiaolong Fan
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China; Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
| | - Jinsheng Chen
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China; Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
| | - Naian Xiao
- Department of Neurology, the First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, China
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Mermiri M, Mavrovounis G, Kanellopoulos N, Papageorgiou K, Spanos M, Kalantzis G, Saharidis G, Gourgoulianis K, Pantazopoulos I. Effect of PM2.5 Levels on ED Visits for Respiratory Causes in a Greek Semi-Urban Area. J Pers Med 2022; 12:jpm12111849. [PMID: 36579575 PMCID: PMC9696598 DOI: 10.3390/jpm12111849] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 10/12/2022] [Accepted: 10/31/2022] [Indexed: 11/09/2022] Open
Abstract
Fine particulate matter that have a diameter of <2.5 μm (PM2.5) are an important factor of anthropogenic pollution since they are associated with the development of acute respiratory illnesses. The aim of this prospective study is to examine the correlation between PM2.5 levels in the semi-urban city of Volos and Emergency Department (ED) visits for respiratory causes. ED visits from patients with asthma, pneumonia and upper respiratory infection (URI) were recorded during a one-year period. The 24 h PM2.5 pollution data were collected in a prospective manner by using twelve fully automated air quality monitoring stations. PM2.5 levels exceeded the daily limit during 48.6% of the study period, with the mean PM2.5 concentration being 30.03 ± 17.47 μg/m3. PM2.5 levels were significantly higher during winter. When PM2.5 levels were beyond the daily limit, there was a statistically significant increase in respiratory-related ED visits (1.77 vs. 2.22 visits per day; p: 0.018). PM2.5 levels were also statistically significantly related to the number of URI-related ED visits (0.71 vs. 0.99 visits/day; p = 0.01). The temperature was negatively correlated with ED visits (r: −0.21; p < 0.001) and age was found to be positively correlated with ED visits (r: 0.69; p < 0.001), while no statistically significant correlation was found concerning humidity (r: 0.03; p = 0.58). In conclusion, PM2.5 levels had a significant effect on ED visits for respiratory causes in the city of Volos.
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Affiliation(s)
- Maria Mermiri
- Department of Emergency Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, 41110 Larissa, Greece
- Department of Anesthesiology, Faculty of Medicine, University of Thessaly, BIOPOLIS, 41110 Larissa, Greece
- Correspondence:
| | - Georgios Mavrovounis
- Department of Emergency Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, 41110 Larissa, Greece
| | - Nikolaos Kanellopoulos
- Department of Respiratory Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, 41110 Larissa, Greece
| | - Konstantina Papageorgiou
- Department of Emergency Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, 41110 Larissa, Greece
| | - Michalis Spanos
- Department of Emergency Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, 41110 Larissa, Greece
| | - Georgios Kalantzis
- Department of Mechanical Engineering, University of Thessaly, Leoforos Athinon, 8 Pedion Areos, 38334 Volos, Greece
| | - Georgios Saharidis
- Department of Mechanical Engineering, University of Thessaly, Leoforos Athinon, 8 Pedion Areos, 38334 Volos, Greece
| | - Konstantinos Gourgoulianis
- Department of Respiratory Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, 41110 Larissa, Greece
| | - Ioannis Pantazopoulos
- Department of Emergency Medicine, Faculty of Medicine, University of Thessaly, BIOPOLIS, 41110 Larissa, Greece
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35
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Thilakaratne R, Graham S, Moua J, Jones CG, Collins C, Mann J, Sciortino S, Wong J, Kharrazi M. CFTR gene variants, air pollution, and childhood asthma in a California Medicaid population. Pediatr Pulmonol 2022; 57:2798-2807. [PMID: 35933722 PMCID: PMC9804556 DOI: 10.1002/ppul.26103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 05/09/2022] [Accepted: 07/06/2022] [Indexed: 01/05/2023]
Abstract
Carriers of the cystic fibrosis transmembrane conductance regulator (CFTR) gene ("carriers") have been found to have an increased risk of persistent asthma. However, it is unclear at what level of CFTR function this risk exists and whether it is modified by asthmogens, such as air pollution. We conducted a retrospective cohort study of children born in California between July 2007 and December 2013, linking CFTR genotype data from the California newborn screening program to Medicaid claims records through March 17, 2020 to identify asthma cases, and to air pollution data from CalEnviroScreen 3.0 to identify levels of particulate matter with diameter 2.5 microns or smaller (PM2.5 ). Log-binomial regression models for asthma risk were fitted, adjusting for race/ethnicity and sex. Compared to population controls, carriers had higher risk of asthma (adjusted risk ratio (aRR) = 1.29, 95% confidence interval (CI): 0.98, 1.69; p < 0.1). Other non-CF-causing variants on the second allele did not appear to further increase risk. Genotypes with the greatest asthma risk were F508del with an intron 10 T7 or (TG)11T5 in trans (aRR=1.52, 95% CI: 1.10, 2.12). This association was higher among children living in areas at or above (aRR = 1.80) versus below (aRR = 1.37) the current national air quality standard for PM2.5 , though this difference was not statistically significant (pinteraction > 0.2). These results suggest carriers with CFTR functional levels between 25% and 45% of wildtype are at increased risk of asthma. Knowledge of CFTR genotype in asthmatics may be important to open new CFTR-related treatment options for these patients.
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Affiliation(s)
- Ruwan Thilakaratne
- California Department of Public Health, Environmental Health Investigations Branch, Richmond, California, USA.,California Department of Public Health, California Epidemiologic Investigation Service (Cal-EIS) Program, Richmond, California, USA
| | - Steve Graham
- California Department of Public Health, Genetic Disease Screening Program, Richmond, California, USA
| | - John Moua
- University of California San Francisco, Fresno Branch, Fresno, California, USA
| | - Caitlin G Jones
- California Department of Public Health, Environmental Health Investigations Branch, Richmond, California, USA
| | - Caroline Collins
- California Department of Public Health, Environmental Health Investigations Branch, Richmond, California, USA
| | - Jennifer Mann
- California Department of Public Health, Environmental Health Investigations Branch, Richmond, California, USA
| | - Stanley Sciortino
- California Department of Public Health, Genetic Disease Screening Program, Richmond, California, USA
| | - Jacklyn Wong
- California Department of Public Health, Environmental Health Investigations Branch, Richmond, California, USA
| | - Martin Kharrazi
- California Department of Public Health, Environmental Health Investigations Branch, Richmond, California, USA
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36
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Liu D, Liu Y, Wang R, Feng L, Xu L, Jin C. Metabolic profiling disturbance of PM 2.5 revealed by Raman spectroscopy and mass spectrometry-based nontargeted metabolomics. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:74500-74511. [PMID: 35639313 DOI: 10.1007/s11356-022-20506-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 04/25/2022] [Indexed: 06/15/2023]
Abstract
Fine particulate matter (PM2.5) is an important risk factor affecting human health. Therefore, a quick method for finding metabolic targets in situ in ambient fine particulate matter is crucial. In this study, the impact of PM2.5 on human lung epithelial cells (A549) was investigated by Raman spectroscopy and mass spectrometry (MS)-based nontargeted metabolomics analysis. Raman detection indicated that exposure to PM2.5 reduced the levels of phenylalanine, tyrosine, and nucleotides. Metabolomics results not only demonstrated a significant decrease of the aforementioned metabolites but also added some important metabolite information that could not be detected by Raman spectroscopy. Our study demonstrated that Raman spectroscopy was an in situ, real-time, and rapid detection method for detecting metabolites, especially suitable for the assignment of phenylalanine/tyrosine and nucleotides, which play important roles in cellular growth. Moreover, the metabolic profiling changes observed upon PM2.5 treatment mainly involved phenylalanine, tyrosine metabolism, purine and pyrimidine metabolism, and energy metabolism, clearly demonstrating that PM2.5 can inhibit the synthesis of protein and DNA/RNA and reduce cellular energy supplies, further influencing cellular proliferation and other activities.
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Affiliation(s)
- Daojie Liu
- Instrumental Analysis Center, Shanghai Jiao Tong University, Shanghai, 200240, China
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yumin Liu
- Instrumental Analysis Center, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Ruibing Wang
- Instrumental Analysis Center, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Lei Feng
- Instrumental Analysis Center, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Li Xu
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Chengyu Jin
- Instrumental Analysis Center, Shanghai Jiao Tong University, Shanghai, 200240, China.
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Sundram TKM, Tan ESS, Cheah SC, Lim HS, Seghayat MS, Bustami NA, Tan CK. Impacts of particulate matter (PM 2.5) on the health status of outdoor workers: observational evidence from Malaysia. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:71064-71074. [PMID: 35595900 DOI: 10.1007/s11356-022-20955-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
Ambient air pollution is a significant contributor to disease burden, leading to an estimated 4.2 million premature deaths and 103.1 million disability-adjusted life years (DALYs) annually worldwide. As industrialization and urbanization surge in Asia, air pollution and its corresponding health issues follow suit. Findings on disease burden in developing countries are extremely scanty. This study aimed to determine the concentration of PM2.5 and its impact on respiratory health of outdoor workers in Malaysia. A 2-cycled 3-month cohort study involving 440 participants was conducted. Workers' health status was assessed via (1) Total Ocular Symptom Score (TOSS), (2) Total Nasal Symptom Score (TNSS), (3) St. George's Respiratory Questionnaire (SGPQ), and (4) Asthma Control Test (ACT). The maximum PM2.5 concentration was measured at 122.90 ± 2.07 µg/m3 during third week of August 2016. Meanwhile, the minimum concentration was measured at 57.47 ± 3.80 µg/m3 and 57.47 ± 1.64 µg/m3 during fourth week of July 2016 and first week of August 2017 respectively. Findings revealed that TOSS, TNSS, and SGPQ changes were significantly (p < 0.05) associated with the concentration of PM2.5. Outdoor workers were more significantly (p < 0.05) affected by changes in PM2.5 compared to indoor workers with a moderate correlation (r value ranged from 0.4 to 0.7). Ironically, no significant association was found between ACT assessment and PM2.5. Collectively, our findings suggested that changes in the concentration of PM2.5 threatened the respiratory health of outdoor workers. The existing policy should be strengthened and preventive measures to be enforced safeguarding health status of outdoor workers.
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Affiliation(s)
| | - Eugenie Sin Sing Tan
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia
| | - Shiau Chuen Cheah
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia
| | - Hwee San Lim
- School of Physics, Universiti Sains Malaysia, 11800, Pulau Pinang, Gelugor, Malaysia
| | - Marjan Sadat Seghayat
- Faculty of Medicine, MAHSA University, Bioscience & Nursing, 42610, Jenjarom, Selangor, Malaysia
| | - Normina Ahmad Bustami
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia
| | - Chung Keat Tan
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia.
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38
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Peng-in B, Sanitluea P, Monjatturat P, Boonkerd P, Phosri A. Estimating ground-level PM 2.5 over Bangkok Metropolitan Region in Thailand using aerosol optical depth retrieved by MODIS. AIR QUALITY, ATMOSPHERE, & HEALTH 2022; 15:2091-2102. [PMID: 36043224 PMCID: PMC9411850 DOI: 10.1007/s11869-022-01238-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 08/15/2022] [Indexed: 06/15/2023]
Abstract
UNLABELLED A number of previous studies have shown that statistical model with a combination of satellite-derived aerosol optical depth (AOD) and PM2.5 measured by the monitoring stations could be applied to predict spatial ground-level PM2.5 concentration, but few studies have been conducted in Thailand. This study aimed to estimate ground-level PM2.5 over the Bangkok Metropolitan Region in 2020 using linear regression model that incorporates the Moderate Resolution Imaging Spectroradiometer (MODIS) AOD measurements and other air pollutants, as well as various meteorological factors and greenness indicators into the model. The 12-fold cross-validation technique was used to examine the accuracy of model performance. The annual mean (standard deviation) concentration of observed PM2.5 was 22.37 (± 12.55) µg/m3 and the mean (standard deviation) of PM2.5 during summer, winter, and rainy season was 18.36 (± 7.14) µg/m3, 33.60 (± 14.48) µg/m3, and 15.30 (± 4.78) µg/m3, respectively. The cross-validation yielded R 2 of 0.48, 0.55, 0.21, and 0.52 with the average of predicted PM2.5 concentration of 22.25 (± 9.97) µg/m3, 21.68 (± 9.14) µg/m3, 29.43 (± 9.45) µg/m3, and 15.74 (± 5.68) µg/m3 for the year round, summer, winter, and rainy season, respectively. We also observed that integrating NO2 and O3 into the regression model improved the prediction accuracy significantly for a year round, summer, winter, and rainy season over the Bangkok Metropolitan Region. In conclusion, estimating ground-level PM2.5 concentration from the MODIS AOD measurement using linear regression model provided the satisfactory model performance when incorporating many possible predictor variables that would affect the association between MODIS AOD and PM2.5 concentration. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11869-022-01238-4.
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Affiliation(s)
- Bussayaporn Peng-in
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Peeyaporn Sanitluea
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Pimnapat Monjatturat
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Pattaraporn Boonkerd
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Arthit Phosri
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
- Center of Excellence on Environmental Health and Toxicology (EHT), OPS, Ministry of Higher Education, Research, Science and Innovation, Bangkok, Thailand
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39
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Shamsollahi HR, Yunesian M, Kharrazi S, Jahanbin B, Nazmara S, Rafieian S, Dehghani MH. Characterization of persistent materials of deposited PM 2.5 in the human lung. CHEMOSPHERE 2022; 301:134774. [PMID: 35500624 DOI: 10.1016/j.chemosphere.2022.134774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/20/2022] [Accepted: 04/26/2022] [Indexed: 06/14/2023]
Abstract
Clearance of deposited urban air particulates (PMs) from the lung is vital for the protection of the lung tissue. Several studies have investigated the behavior of immune cells against these particulates in vitro and in vivo. However, the fate of particulates in the lung is yet unclear. Here, we report the results of our investigations on the clearance of particulates from the lung. Twelve normal lung tissue samples were taken from nonsmoking and non-occupationally exposed patients who needed lung lobectomy or segmentectomy. The remaining particulates were isolated from the alveolar area and extracellular matrix (ECM), separately, and their chemical composition was determined using the FE-SEM EDAX and GC-MS. Moreover, urban air PM2.5 was collected in two forms dry and washed. These were characterized too. Our results showed that none of the metals in the deposited particulates structure is fully water-soluble. After contact with mucosal liquid, the alveolar particulates included Fe, Al, Si, Ti, and Ni. These elements were absent in the PMs isolated from ECM. The organics of alveolar and ECM particulates were the same and included tetra-decane, hexadecane, and octa-decane. None of the organics present in the urban air PM2.5, such as PAHs, were available in isolated particulates from the lung tissue. This study shows that the full clearance of inhaled particulates does not happen in the lung. The immune system's primary function is detoxification by removing all components identifiable by immune cells. After that, the remained PMs will be relocated and deposited into the ECM.
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Affiliation(s)
- Hamid Reza Shamsollahi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Masud Yunesian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran.
| | - Sharmin Kharrazi
- Department of Medical Nanotechnology, School of Advanced Technologies in Medicine (SATiM), Tehran University of Medical Sciences, 14177-55469, Tehran, Iran.
| | - Behnaz Jahanbin
- Department of Pathology, Cancer Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
| | - Shahrokh Nazmara
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Center for Water Quality Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
| | - Shahab Rafieian
- General Thoracic Surgery Ward, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mohammad Hadi Dehghani
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; Institute for Environmental Research, Center for Solid Waste Research, Tehran University of Medical Sciences, Tehran, Iran.
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40
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Yang YS, Cao MD, Wang A, Liu QM, Zhu DX, Zou Y, Ma LL, Luo M, Shao Y, Xu DD, Wei JF, Sun JL. Nano-silica particles synergistically IgE-mediated mast cell activation exacerbating allergic inflammation in mice. Front Immunol 2022; 13:911300. [PMID: 35936002 PMCID: PMC9355306 DOI: 10.3389/fimmu.2022.911300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 06/27/2022] [Indexed: 12/05/2022] Open
Abstract
Background Allergic respiratory diseases have increased dramatically due to air pollution over the past few decades. However, studies are limited on the effects of inorganic components and particulate matter with different particle sizes in smog on allergic diseases, and the possible molecular mechanism of inducing allergies has not been thoroughly studied. Methods Four common mineral elements with different particle sizes in smog particles were selected, including Al2O3, TiO2, Fe2O3, and SiO2. We studied the relationship and molecular mechanism of smog particle composition, particle size, and allergic reactions using mast cells, immunoglobulin E (IgE)-mediated passive cutaneous anaphylaxis (PCA) model, and an ovalbumin (OVA)-induced asthmatic mouse model in vitro and in vivo, combined with transmission electron microscopy, scanning transmission X-ray microscopy analysis, and transcriptome sequencing. Results Only 20 nm SiO2 particles significantly increased β-hexosaminidase release, based on dinitrophenol (DNP)-human serum albumin (HSA) stimulation, from IgE-sensitized mast cells, while other particles did not. Meanwhile, the PCA model showed that Evan’s blue extravasation in mice was increased after treatment with nano-SiO2 particles. Nano-SiO2 particles exposure in the asthmatic mouse model caused an enhancement of allergic airway inflammation as manifested by OVA-specific serum IgE, airway hyperresponsiveness, lung inflammation injury, mucous cell metaplasia, cytokine expression, mast cell activation, and histamine secretion, which were significantly increased. Nano-SiO2 particles exposure did not affect the expression of FcϵRI or the ability of mast cells to bind IgE but synergistically activated mast cells by enhancing the mitogen-activated protein kinase (MAPK) signaling pathway, especially the phosphorylation levels of the extracellular signal-regulated kinase (ERK)1/2. The ERK inhibitors showed a significant inhibitory effect in reducing β-hexosaminidase release. Conclusion Our results indicated that nano-SiO2 particles stimulation might synergistically activate IgE-sensitized mast cells by enhancing the MAPK signaling pathway and that nano-SiO2 particles exposure could exacerbate allergic inflammation. Our experimental results provide useful information for preventing and treating allergic diseases.
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Affiliation(s)
- Yong-Shi Yang
- Department of Allergy, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Meng-Da Cao
- Research Division of Clinical Pharmacology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - An Wang
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Qing-Mei Liu
- Department of Allergy, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Dan-Xuan Zhu
- Women and Children Central Laboratory, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ying Zou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
- Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
| | - Ling-Ling Ma
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Min Luo
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Yang Shao
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Dian-Dou Xu
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- *Correspondence: Jin-Lyu Sun, ; Ji-Fu Wei, ; Dian-Dou Xu,
| | - Ji-Fu Wei
- Research Division of Clinical Pharmacology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Pharmacy, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Jin-Lyu Sun, ; Ji-Fu Wei, ; Dian-Dou Xu,
| | - Jin-Lyu Sun
- Department of Allergy, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
- *Correspondence: Jin-Lyu Sun, ; Ji-Fu Wei, ; Dian-Dou Xu,
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41
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Mueller W, Wilkinson P, Milner J, Loh M, Vardoulakis S, Petard Z, Cherrie M, Puttaswamy N, Balakrishnan K, Arvind DK. The relationship between greenspace and personal exposure to PM 2.5 during walking trips in Delhi, India. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 305:119294. [PMID: 35436507 DOI: 10.1016/j.envpol.2022.119294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 04/08/2022] [Accepted: 04/09/2022] [Indexed: 06/14/2023]
Abstract
The presence of urban greenspace may lead to reduced personal exposure to air pollution via several mechanisms, for example, increased dispersion of airborne particulates; however, there is a lack of real-time evidence across different urban contexts. Study participants were 79 adolescents with asthma who lived in Delhi, India and were recruited to the Delhi Air Pollution and Health Effects (DAPHNE) study. Participants were monitored continuously for exposure to PM2.5 (particulate matter with an aerodynamic diameter of less than 2.5 μm) for 48 h. We isolated normal day-to-day walking journeys (n = 199) from the personal monitoring dataset and assessed the relationship between greenspace and personal PM2.5 using different spatial scales of the mean Normalised Difference Vegetation Index (NDVI), mean tree cover (TC), and proportion of surrounding green land use (GLU) and parks or forests (PF). The journeys had a mean duration of 12.7 (range 5, 53) min and mean PM2.5 personal exposure of 133.9 (standard deviation = 114.8) μg/m3. The within-trip analysis showed weak inverse associations between greenspace markers and PM2.5 concentrations only in the spring/summer/monsoon season, with statistically significant associations for TC at the 25 and 50 m buffers in adjusted models. Between-trip analysis also indicated inverse associations for NDVI and TC, but suggested positive associations for GLU and PF in the spring/summer/monsoon season; no overall patterns of association were evident in the autumn/winter season. Associations between greenspace and personal PM2.5 during walking trips in Delhi varied across metrics, spatial scales, and season, but were most consistent for TC. These mixed findings may partly relate to journeys being dominated by walking along roads and small effects on PM2.5 of small pockets of greenspace. Larger areas of greenspace may, however, give rise to observable spatial effects on PM2.5, which vary by season.
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Affiliation(s)
- William Mueller
- Research, Institute of Occupational Medicine, Edinburgh, UK; Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.
| | - Paul Wilkinson
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - James Milner
- Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London, UK; Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Miranda Loh
- Research, Institute of Occupational Medicine, Edinburgh, UK
| | - Sotiris Vardoulakis
- National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra, Australia
| | - Zoë Petard
- Centre for Speckled Computing, School of Informatics, University of Edinburgh, Scotland, UK
| | - Mark Cherrie
- Research, Institute of Occupational Medicine, Edinburgh, UK
| | - Naveen Puttaswamy
- Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| | - Kalpana Balakrishnan
- Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| | - D K Arvind
- Centre for Speckled Computing, School of Informatics, University of Edinburgh, Scotland, UK
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42
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Radó MK, van Lenthe FJ, Laverty AA, Filippidis FT, Millett C, Sheikh A, Been JV. Effect of comprehensive smoke-free legislation on neonatal mortality and infant mortality across 106 middle-income countries: a synthetic control study. THE LANCET PUBLIC HEALTH 2022; 7:e616-e625. [DOI: 10.1016/s2468-2667(22)00112-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/25/2022] [Accepted: 05/03/2022] [Indexed: 11/28/2022] Open
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43
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Chen G, Zhou H, He G, Zhu S, Sun X, Ye Y, Chen H, Xiao J, Hu J, Zeng F, Yang P, Gao Y, He Z, Wang J, Cao G, Chen Y, Feng H, Ma W, Liu C, Liu T. Effect of early-life exposure to PM 2.5 on childhood asthma/wheezing: a birth cohort study. Pediatr Allergy Immunol 2022; 33. [PMID: 35754133 DOI: 10.1111/pai.13822] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 05/17/2022] [Accepted: 05/31/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Although studies have investigated the association between early-life exposure to fine particulate matter (PM2.5 ) and childhood asthma/wheezing, results are inconsistent and the susceptible exposure window remains largely unknown. METHODS A prospective birth cohort study was conducted to recruit pregnant women during their early pregnancy, and to follow up them and their children up to 3-4 years old. Diagnosis of asthma/wheezing was extracted from children's medical records. A spatiotemporal land-use regression (ST-LUR) model was used to assess maternal exposure to PM2.5 during pregnancy and their children's exposure after birth. The Cox proportional hazards model and accelerated failure time model (for violation of proportional hazards assumption) were applied to estimate the effects of prenatal and postnatal exposures to PM2.5 on the risk of childhood asthma/wheezing. RESULTS A total of 3725 children were included, and 392 children (10.52%) were diagnosed with asthma/wheezing. Both prenatal and postnatal exposures to PM2.5 were positively associated with the risk of asthma/wheezing. Each interquartile range (IQR) increment in PM2.5 exposure during the entire pregnancy (4.8 μg/m3 ) and the period from birth to the end of follow-up (1.5 μg/m3 ) was associated with adjusted hazard ratios (HRs) of 1.44 [95% confidence interval (CI): 1.13, 1.85] and 2.74 (95% CI: 2.59, 2.91), respectively. Subgroup analyses showed greater HRs for PM2.5 exposures during the pseudoglandular stage (6-16 gestational weeks [GWs]: IQR = 4.8 μg/m3 , HR = 1.10, 95% CI: 1.02, 1.18) and canalicular stage (16-24 GWs: IQR = 4.8 μg/m3 , HR = 1.13, 95% CI:1.03, 1.23) than other stages, and also showed significant effects in the first three-year period after birth (IQR = 1.5 μg/m3 , HR = 2.37, 95% CI: =2.24, 2.51). CONCLUSION Higher prenatal and postnatal PM2.5 exposures may increase the risk of childhood asthma/wheezing. The pseudoglandular stage, canalicular stage, and the first three years after birth may be key susceptible to exposure windows.
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Affiliation(s)
- Guimin Chen
- School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
| | - He Zhou
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.,School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Sui Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yufeng Ye
- Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Hanwei Chen
- Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Jianpeng Xiao
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
| | - Jianxiong Hu
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Yanhui Gao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Zhongrong He
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.,School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jiong Wang
- School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China
| | - Ganxiang Cao
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.,School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yumeng Chen
- Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.,School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Hao Feng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.,Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou, China
| | - Chaoqun Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.,Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou, China
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.,Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou, China
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Yan S, Wang X, Yao Z, Cheng J, Ni H, Xu Z, Wei Q, Pan R, Yi W, Jin X, Tang C, Liu X, He Y, Wu Y, Li Y, Sun X, Liang Y, Mei L, Su H. Seasonal characteristics of temperature variability impacts on childhood asthma hospitalization in Hefei, China: Does PM 2.5 modify the association? ENVIRONMENTAL RESEARCH 2022; 207:112078. [PMID: 34599899 DOI: 10.1016/j.envres.2021.112078] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 09/06/2021] [Accepted: 09/14/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVES Evidence of childhood asthma hospitalizations associated with temperature variability (TV) and the attributable risk are limited in China. We aim to use a comprehensive index that reflected both intra- and inter-day TV to assess the TV-childhood asthma relationship and disease burden, further to identify seasonality vulnerable populations, and to explore the effect modification of PM2.5. METHODS A quasi-distributed lagged nonlinear model (DLNM) combined with a linear threshold function was applied to estimate the association between TV and childhood asthma hospitalizations during 2013-2016 in Hefei, China. Subgroup analysis was conducted by age and sex. Disease burden is reflected by the attributable fraction and attributable number. Besides, modifications of PM2.5 were tested by introducing the cross-basis of TV and binary PM2.5 as an interaction term. RESULTS The risk estimates peaked at TV0-3 and TV0-4 in the cool and the warm season separately, with RR of 1.051 (95%CI: 1.021-1.081) and 1.072 (95%CI: 1.008-1.125), and the effects lasted longer in the cool season. The school-age children in the warm season and all subgroups except pre-school children in the cool season were vulnerable to TV. It is estimated that the disease burden related to TV account for 6.2% (95% CI: 2.7%-9.4%) and 4% (95% CI: 0.6%-7.1%) during the cool and warm seasons in TV0-3. In addition, the risks of TV were higher under the high PM2.5 level compared with the low PM2.5 level in the cool season, although no significant differences between them. CONCLUSIONS TV exposure significantly increases the risk and disease burden of childhood asthma hospitalizations, especially in the cool season. More medical resources should be allocated to school-age children. Giving priority to pay attention to TV in the cool season in practice could obtain the greatest public health benefits and those days with high TV and high PM2.5 need more attention.
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Affiliation(s)
- Shuangshuang Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Xu Wang
- Anhui Provincial Children's Hospital, China
| | - Zhenhai Yao
- Anhui Public Meteorological Service Center, Hefei, Anhui, 230011, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Hong Ni
- Anhui Provincial Children's Hospital, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Qiannan Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Xiaoyu Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Chao Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Xiangguo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Yangyang He
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Yudong Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Yuxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Xiaoni Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Yunfeng Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Lu Mei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China.
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Ścibor M, Balcerzak B, Galbarczyk A, Jasienska G. Associations between Daily Ambient Air Pollution and Pulmonary Function, Asthma Symptom Occurrence, and Quick-Relief Inhaler Use among Asthma Patients. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084852. [PMID: 35457717 PMCID: PMC9028503 DOI: 10.3390/ijerph19084852] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 12/04/2022]
Abstract
Particulate matter (PM) is harmful to human health, especially for people with asthma. The goal of this study was to enhance the knowledge about the short-term effects of daily air concentrations of PM on health outcomes among asthma patients. The novelty of this study was the inclusion of a homogeneous group of patients (N = 300) with diagnosed and partly controlled asthma. Patients recorded their symptoms, asthma quick-relief inhaler use, and peak expiratory flow (PEF) measurements in a diary for two weeks. Data on particulate air pollution were obtained from stationary monitoring stations. We have shown that particulate pollutants (PM10 and PM2.5) are associated with significant deterioration of PEF and an increase in the frequency of early asthma symptoms, as well as asthma quick-relief inhaler use. These effects are observed not only on the day of exposure, but also on the following day. For public health practice, these results support the rationale for using peak-flow meters as necessary devices for proper asthma self-management and control, especially in locations where the air is polluted with particles. This may decrease the number of asthma patients seeking medical help.
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46
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Short-term effects of different PM2.5 ranges on daily all-cause mortality in Jinan, China. Sci Rep 2022; 12:5665. [PMID: 35383207 PMCID: PMC8983776 DOI: 10.1038/s41598-022-09057-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 03/08/2022] [Indexed: 11/08/2022] Open
Abstract
To examine the effects of different PM2.5 concentration ranges on daily all-cause mortality, 8768 all-cause deaths were recorded in the database of the Shandong Provincial Hospital Affiliated to Shandong First Medical University. Data of air pollutants (PM2.5 and O3) concentration were provided by the Jinan Environment Monitoring Center. The relative risk of all-cause mortality was assessed using a quasi-Poisson regression model after adjusting for confounding factors. The concentrations of PM2.5 were divided into four ranges 0-35 μg/m3; 35-75 μg/m3; 75-115 μg/m3; 115-150 μg/m3. There was no significant relationship between PM2.5 exposure and all-cause deaths in individuals aged < 60 years. However, for individuals aged ≥ 60 years, there was a significant positive association between exposure concentrations and all-cause deaths within the ranges 0-35 μg/m3, 35-75 μg/m3, and 115-150 μg/m3 with a mortality increase of 1.07 (1.01, 1.13), 1.03 (1.00, 1.05), and 1.05 (1.01, 1.08), respectively. When the population aged ≥ 60 years was stratified into gender groups, exposure to PM2.5 in the range 0-35 μg/m3 increased the mortality risk in men but not women. All-cause mortality in women, but not men, increased significantly with exposure to PM2.5 in the ranges of 35-75, 75-115, and 115-150 μg/m3.
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Guo J, Zheng X, Qin T, Lv M, Zhang W, Song X, Qiu H, Hu L, Zhang L, Zhou D, Sun Y, Yang W. An experimental method for efficiently evaluating the size-resolved sampling efficiency of liquid-absorption aerosol samplers. Sci Rep 2022; 12:4745. [PMID: 35304534 PMCID: PMC8932469 DOI: 10.1038/s41598-022-08718-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Abstract
Aerosol samplers are critical tools for studying indoor and outdoor aerosols. Development and evaluation of samplers is often labor-intensive and time-consuming due to the need to use monodisperse aerosols spanning a range of sizes. This study develops a rapid experimental methodology using polydisperse solid aerosols to evaluate size-resolved aerosol-to-aerosol (AtoA) and aerosol-to-hydrosol (AtoH) sampling efficiencies. Arizona Test Dust (diameter 0.5–20 µm) was generated and dispersed into an aerosol test chamber and two candidate samplers were tested. For the AtoA test, aerosols upstream and downstream of a sampler were measured using an online aerodynamic particle sizer. For the AtoH test, aerosols collected in sampling medium were mixed with a reference sample and then measured by the laser diffraction method. The experimental methodology were validated as an impressive time-saving procedure, with reasonable spatial uniformity and time stability of aerosols in the test chamber and an acceptable accuracy of absolute mass quantification of collected particles. Evaluation results showed that the AGI-30 and the BioSampler sampler had similar size-resolved sampling efficiencies and that efficiencies decreased with decreasing sampling flow rate. The combined evaluation of AtoA and AtoH efficiency provided more comprehensive performance indicators than either test alone. The experimental methodology presented here can facilitate the design and choice of aerosol sampler.
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Affiliation(s)
- Jianshu Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Xinying Zheng
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Tongtong Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.,Laboratory Animal Center, Academy of Military Medical Science, Beijing, China
| | - Meng Lv
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Wei Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Xiaolin Song
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Hongying Qiu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Lingfei Hu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Lili Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Dongsheng Zhou
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China
| | - Yansong Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
| | - Wenhui Yang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China.
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Zang ST, Wu QJ, Li XY, Gao C, Liu YS, Jiang YT, Zhang JY, Sun H, Chang Q, Zhao YH. Long-term PM 2.5 exposure and various health outcomes: An umbrella review of systematic reviews and meta-analyses of observational studies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 812:152381. [PMID: 34914980 DOI: 10.1016/j.scitotenv.2021.152381] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 06/14/2023]
Abstract
Adverse effects from exposure to particulate matter <2.5 μm in diameter (PM2.5) on health-related outcomes have been found in a range of experimental and epidemiological studies. This study aimed to assess the significance, validity, and reliability of the relationship between long-term PM2.5 exposure and various health outcomes. The Embase, PubMed, Web of Science, CNKI, WANFANG, VIP, and SinoMed databases and reference lists of the retrieved review articles were searched to obtain meta-analysis and systematic reviews focusing on PM2.5-related outcomes as of August 31, 2021. Random-/fixed-effects models were applied to estimate summary effect size and 95% confidence intervals (CIs). The quality of included meta-analyses was evaluated based on the AMSTAR 2 tool. Small-study effect and excess significance bias studies were conducted to further assess the associations. Registered PROSPERO number: CRD42020200606. This included 24 articles involving 71 associations between PM2.5 exposure and the health outcomes. The evidence for the positive association of 10 μg/m3 increments of long-term exposure to PM2.5 and stroke incidence in Europe was convincing (effect size = 1.07, 95% CI: 1.05-1.10). There was evidence that was highly suggestive of a positive association between 10 μg/m3 increments of long-term exposure to PM2.5 and the following health-related outcomes: mortality of lung cancer (effect size = 1.11, 95% CI: 1.08-1.13) and Alzheimer's disease (effect size = 4.79, 95% CI: 2.79-8.21). There was highly suggestive evidence that chronic obstructive pulmonary disease risk is positively associated with higher long-term PM2.5 exposure versus lower long-term PM2.5 exposure (effect size = 2.32, 95% CI: 1.88-2.86). In conclusion, the positive association of long-term exposure to PM2.5 and stroke incidence in Europe was convincing. Given the validity of numerous associations of long-term exposure to PM2.5 and health-related outcomes is subject to biases, more robust evidence is urgently needed.
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Affiliation(s)
- Si-Tian Zang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Xin-Yu Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Chang Gao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Ya-Shu Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yu-Ting Jiang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jia-Yu Zhang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Hui Sun
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Qing Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
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The Impact of Ambient Environmental and Occupational Pollution on Respiratory Diseases. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19052788. [PMID: 35270479 PMCID: PMC8910713 DOI: 10.3390/ijerph19052788] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/22/2022] [Accepted: 02/25/2022] [Indexed: 11/16/2022]
Abstract
Ambient pollutants and occupational pollutants may cause and exacerbate various lung and respiratory diseases. This review describes lung and respiratory diseases in relation to ambient pollutants, particularly particulate matter (PM2.5), and occupational air pollutants, excluding communicable diseases and indoor pollutants, including tobacco smoke exposure. PM2.5 produced by combustion is an important ambient pollutant. PM2.5 can cause asthma attacks and exacerbations of chronic obstructive pulmonary disease in the short term. Further, it not only carries a risk of lung cancer and death, but also hinders the development of lung function in children in the long term. It has recently been suggested that air pollution, such as PM2.5, is a risk factor for severe coronavirus disease (COVID-19). Asbestos, which causes asbestosis, lung cancer, and malignant mesothelioma, and crystalline silica, which cause silicosis, are well-known traditional occupational pollutants leading to pneumoconiosis. While work-related asthma (WRA) is the most common occupational lung disease in recent years, many different agents cause WRA, including natural and synthetic chemicals and irritant gases. Primary preventive interventions that increase awareness of pollutants and reduce the development and exacerbation of diseases caused by air pollutants are paramount to addressing ambient and occupational pollution.
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50
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Clemons R, Kong M, Jawad K, Feygin Y, Caperell K. The Impact of Converting a Power Plant from Coal to Natural Gas on Pediatric Acute Asthma. J Asthma 2022; 59:2441-2448. [PMID: 35038390 DOI: 10.1080/02770903.2021.2022159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Background and Objectives: Air pollutants play a pivotal role in the frequency and severity of asthma symptoms. As cleaner air initiatives are increasingly being implemented, it is important to appraise how these changes relate to acute pediatric asthma. The objective of this study is to evaluate the effect of a Gas and Electric Company's transition from using coal to natural gas as their fuel source on pediatric asthma-related illnesses in Louisville, KY.Methods: Data were collected for children 2-17 years old from a large regional healthcare system, for which an asthma-related primary diagnosis was present between April 1, 2013 and April 1, 2018. Using an interrupted time series design, we analyzed monthly rates of asthma-related visits to urgent care (UC) and emergency departments (ED). Segmented Poisson regression models were used to assess whether the power company's transition was associated with changes in trends of asthma-related visits.Results: There were a total of 7,735 subjects who met inclusion criteria. Prior to the complete factory transition from coal to natural gas, the mean monthly rate for asthma-related visits was 163.9. After the transition, we observed a significant decrease to a mean monthly rate of 100.3 asthma-related visits (p < 0.001). In addition, the proportion of inpatient (23.7% vs. 30.5%, p < 0.001) visits significantly increased, while ED & UC (76.3 vs. 69.5%, p < 0.001) were significantly decreased.Conclusion: Converting an electrical power plant from coal to natural gas lead to a profound and sustained decrease in pediatric acute asthma exacerbation in Louisville, KY.
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Affiliation(s)
- Robert Clemons
- Pediatric Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Maiying Kong
- Bioinformatics and Biostatistics, University of Louisville, Louisville, United States
| | - Kahir Jawad
- School of Public Health and Information Sciences, Biostatistics, University of Louisville, Louisville, United States
| | - Yana Feygin
- School of Public Health and Information Sciences, Biostatistics, University of Louisville, Louisville, United States
| | - Kerry Caperell
- Pediatric Emergency Medicine, University of Louisville School of Medicine, Louisville, United States
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