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Massey CJ, Tullis B, Johnson C, Oakley G, Orlandi R, Alt J, Pulsipher A, Gill A, Horel J, Smith K. Characterizing air pollution exposure methodologies in rhinology: a scoping review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2025:1-16. [PMID: 40079501 DOI: 10.1080/09603123.2025.2477585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2024] [Accepted: 03/05/2025] [Indexed: 03/15/2025]
Abstract
ABST RACTCharacterization of air pollution assessment methodologies in rhinologic disease research is lacking. A scoping review was thus conducted to survey exposure methods in studies examining common rhinologic conditions: allergic rhinitis (AR) and chronic rhinosinusitis (CRS). Several medical databases were queried for variables relating to (1) adults with a diagnosis of CRS or AR and (2) air pollution exposure. Data was extracted for pollutants assessed, method of quantifying exposure, assessment of residential stability, inclusion of authors with expertise in environmental exposure assessment, and disease-related outcomes. Thirty-four articles were included for analysis - 16 for AR and 18 for CRS. Fifteen studies originated from East Asia, 10 from North America, and 6 from Europe. The most common pollutant studied was PM2.5 (28 studies), with most studies investigating multiple pollutants. Twenty-one studies used a nearby air monitor to quantify exposure, 9 studies reported whether subjects had residential stability for the period assessed, and 17 studies included authors with climate science background. Timeframes included both acute and chronic exposure. Current methods to quantify air pollution exposure in rhinology vary considerably and inconsistently employ expertise from environmental scientists. Future investigations may benefit from multidisciplinary collaboration, reporting of residential stability, and standardized reporting metrics.
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Affiliation(s)
- Conner J Massey
- Department of Otolaryngology - Head & Neck Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Benton Tullis
- University of Utah, School of Medicine, Salt Lake City, UT, USA
| | - Colin Johnson
- Department of Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA
| | - Gretchen Oakley
- Department of Otolaryngology - Head & Neck Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard Orlandi
- Department of Otolaryngology - Head & Neck Surgery, University of Arizona, Phoenix, AZ, USA
| | - Jeremiah Alt
- Department of Otolaryngology - Head & Neck Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Molecular Pharmaceutics, University of Utah College of Pharmacy, Salt Lake City, UT, USA
- Utah Center for Nanomedicine, University of Utah College of Pharmacy, Salt Lake City, UT, USA
- Department of Biomedical Engineering, University of Utah College of Engineering, Salt Lake City, UT, USA
| | - Abigail Pulsipher
- Department of Otolaryngology - Head & Neck Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Otolaryngology - Head & Neck Surgery, University of Arizona, Phoenix, AZ, USA
- Department of Molecular Pharmaceutics, University of Utah College of Pharmacy, Salt Lake City, UT, USA
| | - Amarbir Gill
- Department of Otolaryngology - Head & Neck Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - John Horel
- Department of Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA
| | - Kristine Smith
- Department of Otolaryngology - Head & Neck Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA
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Qian Y, Zhao Y, Tang L, Ye D, Chen Q, Zhu H, Ye H, Xu G, Liu L. Short-term effects of air pollutants and meteorological factors on outpatients with allergic airway disease in Ningbo, China, 2015-2021. Public Health 2024; 236:52-59. [PMID: 39163744 DOI: 10.1016/j.puhe.2024.07.020] [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: 01/23/2024] [Revised: 06/20/2024] [Accepted: 07/17/2024] [Indexed: 08/22/2024]
Abstract
OBJECTIVES The allergic airway disease, such as allergic rhinitis, chronic rhinosinusitis, asthma, is a general term of a range of inflammatory disorders affecting the upper and lower airways and lung parenchyma. This study aimed to investigate the short-term effects of air pollutants and meteorological factors on AAD-related daily outpatient visits. STUDY DESIGN An ecological study. METHODS Data on outpatient visits due to AAD (n = 4,554,404) were collected from the platform of the Ningbo Health Information from January 1, 2015 to December 31, 2021. A Quasi-Poisson generalized additive regression model was established to analyze the lag effects of air pollution on daily outpatient visits for AAD. Restricted cubic spline functions were used to explore the potential non-linear relationships between air pollutants and meteorological and daily outpatient visits for AAD. RESULTS PM2.5, PM10, SO2, NO2, or CO were associated with daily outpatient visits for AAD, and there was a significant increasing trend in the cumulative lag effects. SO2 had the largest effect at Lag07, with a 25.3% (95% CI: 21.6%-29.0%) increase in AAD for every 10 μg/m3 increase in exposure concentration. Subgroup analysis showed that the 0-18 years old age group had the strongest effects, especially for AR, and all effects were stronger in the cold season. CONCLUSIONS Given that patients aged 0-18 are more susceptible to environmental changes, protective measures specifically for children should be taken during dry and cold weather conditions with poor air quality.
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Affiliation(s)
- Y Qian
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang Province, China.
| | - Y Zhao
- Department of Biostatistics School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, China
| | - L Tang
- Ningbo Health Information Center, Ningbo, Zhejiang Province, China
| | - D Ye
- Ningbo Health Information Center, Ningbo, Zhejiang Province, China
| | - Q Chen
- Department of Disease Prevention and Health Promotion, Ningbo NO.2 Hospital, Ningbo, Zhejiang Province, China
| | - H Zhu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang Province, China
| | - H Ye
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang Province, China
| | - G Xu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang Province, China.
| | - L Liu
- School of Public Health, Health Science Center, Ningbo University, Ningbo, Zhejiang Province, China; The Key Laboratory of Modern Toxicology of Ministry of Education, Nanjing Medical University, 101 Longmian Avenue, Nanjing, China; Department of Psychiatry, Affiliated Kangning Hospital of Ningbo University, Ningbo, 315201, Zhejiang, China; Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, 315201, Zhejiang, China.
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Sun W, Ding C, Jiang Z, Zheng X, Jiang J, Xu H. The Impact of Ambient Air Pollution on Allergic Rhinitis Symptoms: A Prospective Follow-Up Study. TOXICS 2024; 12:663. [PMID: 39330591 PMCID: PMC11436010 DOI: 10.3390/toxics12090663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 09/01/2024] [Accepted: 09/06/2024] [Indexed: 09/28/2024]
Abstract
Air pollution has become a serious public health problem and there is evidence that air pollution affects the incidence of allergic rhinitis. To further investigate the effect of ambient air pollutants on the severity of allergic rhinitis symptoms, a prospective follow-up study in patients with allergic rhinitis was conducted. A total of 167 allergic rhinitis patients with a mean age of 35.4 years, who were visiting the hospital, were enrolled. The daily symptom severity of allergic rhinitis and the concentrations of six air pollutants, including PM2.5, PM10, SO2, CO, O3 and NO2, were collected through follow-up investigations. The impact of ambient air pollutants on symptom severity was assessed via multi-pollutant models. Among several typical ambient air pollutants, we observed correlations of allergic rhinitis symptoms with PM2.5, PM10, CO, SO2 and NO2, whereas O3 showed no such correlation. Specifically, PM2.5 and PM10 were significantly associated with sneezing and nasal blockage. NO2 was significantly correlated with symptoms of rhinorrhea, itchy nose and itchy eyes. CO was significantly linked to sneezing and nasal blockage symptoms. These air pollutants not only had a direct impact on allergic rhinitis symptoms but also exhibited a lagging effect. This study indicates that short-term exposure to air pollutants is associated with exacerbation of nasal symptoms in patients with allergic rhinitis, leading to a decline in their quality of life.
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Affiliation(s)
- Wen Sun
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Xihu District, Hangzhou 310013, China; (W.S.); (C.D.); (Z.J.); (X.Z.)
| | - Chan Ding
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Xihu District, Hangzhou 310013, China; (W.S.); (C.D.); (Z.J.); (X.Z.)
| | - Zhuoying Jiang
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Xihu District, Hangzhou 310013, China; (W.S.); (C.D.); (Z.J.); (X.Z.)
| | - Xinliang Zheng
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Xihu District, Hangzhou 310013, China; (W.S.); (C.D.); (Z.J.); (X.Z.)
| | - Jinlan Jiang
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou 310053, China
| | - Huadong Xu
- School of Public Health, Hangzhou Medical College, 182 Tianmushan Road, Xihu District, Hangzhou 310013, China; (W.S.); (C.D.); (Z.J.); (X.Z.)
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Pisithkul T, Pisithkul T, Lao-Araya M. Impact of Air Pollution and Allergic Status on Health-Related Quality of Life among University Students in Northern Thailand. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:452. [PMID: 38673363 PMCID: PMC11050436 DOI: 10.3390/ijerph21040452] [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: 02/25/2024] [Revised: 03/29/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND Global awareness of ambient air pollution has heightened due to its detrimental impact on health, particularly in regions with elevated PM2.5 levels. Chiang Mai has emerged as an area experiencing the highest PM2.5 levels in Thailand. OBJECTIVES to examine the prevalence of respiratory allergies and assess the impact of air pollution on the health-related quality of life (QoL) among university students in Chiang Mai. METHODS Chiang Mai University (CMU) and Maejo University (MJU) students were recruited. The Global Asthma Network (GAN) questionnaire screened for respiratory allergies (RAs). The disease-specific QoL questionnaire (Rcq-36) was administered twice during low-PM2.5 and high-PM2.5 seasons to evaluate air pollution's impact on health-related QoL. Those showing potential RAs underwent a skin prick test (SPT) to investigate allergic sensitization. RESULTS Out of 406 participants, 131 (32%) reported respiratory allergies. Among those undergoing SPT, a high rate (82.54%) had positive results. Across both universities, students reported significantly lower QoL in multiple domains, particularly respiratory, eye, sleep, and emotional well-being, during the high-PM2.5 season. This aligned with their poorer self-reported health on a visual analog scale (VAS; p-value < 0.01). PM2.5 levels significantly impacted social functioning for CMU students (p-value = 0.001) and role limitations for MJU students (p-value < 0.001). Notably, participants without respiratory allergies (non-RAs) were more significantly affected by PM2.5 than RA participants in almost all parameters, despite experiencing fewer baseline symptoms. CONCLUSIONS Respiratory allergies, particularly allergic rhinitis, are prevalent among university students in Chiang Mai. This study underscores the substantial negative impact of ambient air pollution on QoL for both allergic and non-allergic students.
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Affiliation(s)
- Tipanan Pisithkul
- Division of Allergy and Clinical Immunology, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand;
| | - Tippapha Pisithkul
- Program in Biotechnology, Faculty of Science, Maejo University, Chiang Mai 50290, Thailand;
| | - Mongkol Lao-Araya
- Division of Allergy and Clinical Immunology, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand;
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Ji J, Chen K, Dong J, Yu H, Zhang Y. Associations between air pollution and outpatient visits for allergic rhinitis in Lanzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:91453-91465. [PMID: 37479938 DOI: 10.1007/s11356-023-28457-1] [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: 10/18/2022] [Accepted: 06/23/2023] [Indexed: 07/23/2023]
Abstract
There is emerging evidence indicating that short-term exposure to air pollution is associated with the development and occurrence of allergic rhinitis (AR), but limited studies have been conducted in China, and their results were inconsistent. So, quasi-Poisson time series regressions with distributed lag non-linear models (DLNM) were applied to evaluate the lag association between six air pollutants and daily outpatient visits for AR in Lanzhou, China, from January 1, 2014, to December 31, 2019. Stratified analyses were further performed by gender, age, and season. Overall, we found that short-term exposure to air pollutants including PM2.5, PM10, SO2, NO2, O38h, and CO was significantly associated with an increased risk of AR outpatient visits. The strongest associations were observed at a lag of 0-7 days for PM2.5 (relative risk [RR] = 1.035, 95% confidence intervals [CI]: 1.019-1.052), PM10 (RR = 1.006, 95% CI: 1.002-1.011), at a lag of 0-2 days for SO2 (RR = 1.048, 95% CI: 1.017-1.081), NO2 (RR = 1.025, 95% CI: 1.010-1.041), at a lag of 0-6 days for O38h (RR = 1.028, 95% CI: 1.016-1.041), and at a lag of 0-7 days for CO (RR = 1.128, 95% CI: 1.054-1.206). Stratified analyses indicated that males and adults (15-59 years old) appeared to be more sensitive to PM2.5, SO2, NO2, O38h, and CO exposure than females and those in other age groups. The effect of CO exposure was statistically significant in all subgroups. Associations between PM2.5, PM10, NO2, and O38h and AR outpatients were more pronounced in the warm season than in the cold season. The influences of PM2.5, PM10, SO2, NO2, O38h, and CO were found to be significantly relevant to AR-associated outpatient. Different pollutants played different roles for different genders, ages, and seasons.
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Affiliation(s)
- Jie Ji
- Department of Otorhinolaryngology Head and Neck Surgery, The First People's Hospital of Lanzhou, Lanzhou, 730000, People's Republic of China.
| | - Kangbing Chen
- Department of Otorhinolaryngology Head and Neck Surgery, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Jiyuan Dong
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Hushan Yu
- Department of Otorhinolaryngology Head and Neck Surgery, The First People's Hospital of Lanzhou, Lanzhou, 730000, People's Republic of China
| | - Yanxia Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, The First People's Hospital of Lanzhou, Lanzhou, 730000, People's Republic of China
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Dąbrowiecki P, Chciałowski A, Dąbrowiecka A, Piórkowska A, Badyda A. Exposure to ambient air pollutants and short-term risk for exacerbations of allergic rhinitis: a time-stratified, case-crossover study in the three largest urban agglomerations in Poland. Respir Physiol Neurobiol 2023:104095. [PMID: 37355057 DOI: 10.1016/j.resp.2023.104095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/13/2023] [Accepted: 06/20/2023] [Indexed: 06/26/2023]
Abstract
Allergic rhinitis (AR) affects 10% of the world population, with an increased prevalence in regions with substantial air pollution, but the association between exposure to air pollutants and the short-term risk of AR exacerbations is unclear. We used a time-series approach to analyze the risk of hospital admissions due to AR over 8 days from exposure to various air pollutants. Distributed lag nonlinear models were used to analyze data gathered between 2012 and 2018 in the three largest urban agglomerations in Poland. The analyses were carried out separately for the warm (April - September) and cold seasons (October - March). Overall, there were 1407 admissions due to AR. In the warm season, the rate ratio (95% confidence interval) for admission per 10µg/m3 was 1.202 (1.044, 1.384) for particulate matter less than 10 microns (PM10); 1.094 (0.896, 1.335) for particulate matter less than 2.5 microns (PM2.5); 0.946 (0.826, 1.085) for nitrogen dioxide (NO2); 0.837 (0.418, 1.677) for sulfur dioxide (SO2); and 1.112 (1.011, 1.224) for ozone (O3). In the cold season, the rate ratio for admission per 10µg/m3 was 1.035 (0.985, 1.088) for PM10; 1.041 (0.977, 1.108) for PM2.5; 1.252 (1.122, 1.398) for NO2; 0.921 (0.717, 1.181) for SO2; and 1.030 (1.011, 1.050) for O3. In conclusion, the risk of admission due to AR increased significantly after exposure to O3 in the warm and cold seasons. Exposure to PM10 was associated with a significantly increased risk of AR hospitalizations in the warm season only, whereas exposure to NO2 was associated with a significantly increased risk of AR admission in the cold season.
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Affiliation(s)
- Piotr Dąbrowiecki
- Military Institute of Medicine, Department of Allergology and Infectious Diseases, 128 Szaserów St., 04-141 Warsaw, Poland; Polish Federation of Asthma Allergy and COPD Patients Associations, 5/162 Promyka St., 01-604 Warsaw, Poland
| | - Andrzej Chciałowski
- Military Institute of Medicine, Department of Allergology and Infectious Diseases, 128 Szaserów St., 04-141 Warsaw, Poland
| | - Agata Dąbrowiecka
- Medical University of Maria Sklodowska-Curie in Warsaw, 12 Solidarności Ave., 03-412, Warsaw, Poland
| | - Anna Piórkowska
- Warsaw University of Technology, Faculty of Building Services Hydro- and Environmental Engineering, 20 Nowowiejska St., 00-653 Warsaw, Poland
| | - Artur Badyda
- Polish Federation of Asthma Allergy and COPD Patients Associations, 5/162 Promyka St., 01-604 Warsaw, Poland; Warsaw University of Technology, Faculty of Building Services Hydro- and Environmental Engineering, 20 Nowowiejska St., 00-653 Warsaw, Poland.
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Motlogeloa O, Fitchett JM. Climate and human health: a review of publication trends in the International Journal of Biometeorology. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023:10.1007/s00484-023-02466-8. [PMID: 37129619 PMCID: PMC10153057 DOI: 10.1007/s00484-023-02466-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 03/06/2023] [Accepted: 03/27/2023] [Indexed: 05/03/2023]
Abstract
The climate-health nexus is well documented in the field of biometeorology. Since its inception, Biometeorology has in many ways become the umbrella under which much of this collaborative research has been conducted. Whilst a range of review papers have considered the development of biometeorological research and its coverage in this journal, and a few have reviewed the literature on specific diseases, none have focused on the sub-field of climate and health as a whole. Since its first issue in 1957, the International Journal of Biometeorology has published a total of 2183 papers that broadly consider human health and its relationship with climate. In this review, we identify a total of 180 (8.3%, n = 2183) of these papers that specifically focus on the intersection between meteorological variables and specific, named diagnosable diseases, and explore the publication trends thereof. The number of publications on climate and health in the journal increases considerably since 2011. The largest number of publications on the topic was in 2017 (18) followed by 2021 (17). Of the 180 studies conducted, respiratory diseases accounted for 37.2% of the publications, cardiovascular disease 17%, and cerebrovascular disease 11.1%. The literature on climate and health in the journal is dominated by studies from the global North, with a particular focus on Asia and Europe. Only 2.2% and 8.3% of these studies explore empirical evidence from the African continent and South America respectively. These findings highlight the importance of continued research on climate and human health, especially in low- and lower-middle-income countries, the populations of which are more vulnerable to climate-sensitive illnesses.
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Affiliation(s)
- Ogone Motlogeloa
- School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa
| | - Jennifer M Fitchett
- School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa.
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Li S, Wang G, Wang B, Cao S, Zhang K, Duan X, Wu W. Has the Risk of Outpatient Visits for Allergic Rhinitis, Related to Short-Term Exposure to Air Pollution, Changed over the Past Years in Beijing, China? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12529. [PMID: 36231829 PMCID: PMC9566797 DOI: 10.3390/ijerph191912529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/20/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
A number of studies have found associations between the short-term exposure to ambient air pollution and hospital admissions. However, little is known about the temporal variations in ambient air pollution associated with health exposure, especially in China. We evaluated whether the risks of allergic rhinitis (AR) outpatient visits from short-term exposure to air pollution varied over time (2014-2020) in Beijing, China. A quasi-Poisson generalized additive model was used to evaluate the relative risks (RRs) and 95% confidence intervals (CIs) associated with the pollutant concentrations during the entire study period and three specific periods. We also analyzed the temporal variations of the period-specific associations and tested the trend of change using the Mann-Kendall test. The concentration-response relationships for the specific periods were further investigated. The RRs (95%CI) for an interquartile range (IQR) increased in PM10 (70 μg/m3) and CO (0.5 mg/m3) decreased from period 1 to period 3. However, The RRs (95%CI) of PM2.5 (55 μg/m3), SO2 (7 μg/m3) and NO2 (27 μg/m3) increased from 1.015 (0.978, 1.054), 1.027 (1.009, 1.044) and 1.086 (1.037, 1.137) in period 1 to 1.069 (1.005, 1.135), 1.074 (1.003, 1.149) and 1.214 (1.149, 1.282) in period 3, respectively. A statistically significant temporal change and the stable effects were observed between the NO2 exposure and AR visits over time. Despite a substantial reduction in ambient air pollution, the short-term effects on AR outpatient visits remained significant. Our findings provide a rationale for continued air pollution control efforts in the future to minimize air pollution and to protect the public.
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Affiliation(s)
- Sai Li
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Gang Wang
- Department of Otolaryngology-Head and Neck Surgery, PLA Strategic Support Force Characteristic Medical Center, Beijing 100101, China
| | - Beibei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Suzhen Cao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, Rensselaer, NY 12144-2345, USA
| | - Xiaoli Duan
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Wei Wu
- Department of Otolaryngology-Head and Neck Surgery, PLA Strategic Support Force Characteristic Medical Center, Beijing 100101, China
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Wu Y, Xu R, Yu W, Wen B, Li S, Guo Y. Economic burden of premature deaths attributable to non-optimum temperatures in Italy: A nationwide time-series analysis from 2015 to 2019. ENVIRONMENTAL RESEARCH 2022; 212:113313. [PMID: 35436452 DOI: 10.1016/j.envres.2022.113313] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/21/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Human beings and society are experiencing substantial consequences caused by non-optimum temperatures. However, limited studies have assessed the economic burden of premature deaths attributable to non-optimum temperatures. OBJECTIVES To characterize the association between daily mean temperature and the economic burden of premature deaths. METHODS A total of 3 228 098 deaths were identified from a national mortality dataset in Italy during 2015 and 2019. We used the value of statistical life to quantify the economic losses of premature death. A two-stage time-series analysis was performed to evaluate the economic losses of premature deaths associated with non-optimum temperatures. Attributable burden for non-optimum temperatures compared with minimum risk temperature were estimated. Potential effect modifiers were further explored. RESULTS From 2015 to 2019, the economic loss of premature deaths due to non-optimum temperatures was $525.52 billion (95% CI: $461.84-$580.80 billion), with the attributable fraction of 5.74% (95% CI: 5.04%-6.34%). Attributable economic burden was largely due to moderate cold temperatures ($309.54 billion, 95% CI: $249.49-$357.34 billion). A higher economic burden was observed for people above the age of 65, accounting for 75.97% ($452.42, 95%CI: $406.97-$488.76 billion) of the total economic burden. In particular, higher fractions attributable to heat temperatures were observed for provinces with the lowest level of GDP per capita but the highest level of urbanization. DISCUSSION This study shows a considerable economic burden of premature deaths attributed to non-optimum temperatures. These figures can help inform tailored prevention to tackle the large economic burden imposed by non-optimum temperatures.
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Affiliation(s)
- Yao Wu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rongbin Xu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Wenhua Yu
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Bo Wen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
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Yang D, Yan Y, Pu K. The Association Between Air Pollutants and Daily Outpatient Visits for Allergic Rhinitis: A Time-Series Analysis Based on Distribution Lag Nonlinear Model in Chongqing, China. Risk Manag Healthc Policy 2022; 15:1501-1515. [PMID: 35966499 PMCID: PMC9374097 DOI: 10.2147/rmhp.s373085] [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: 05/16/2022] [Accepted: 07/25/2022] [Indexed: 11/23/2022] Open
Abstract
Background Allergic rhinitis (AR) is a severe and the most common chronic allergic disease, affecting 10-40% of the world population. The effect of air pollutants on AR has been confirmed in clinical experiments. Purpose This study aimed to quantify the association between air pollutants and daily outpatient visits for AR in Chongqing, China. Methods Based on the data of AR outpatients in the primary urban area of Chongqing from 2016 to 2017, along with the atmospheric pollutants and meteorological data in the same period, the distributed lag nonlinear model (DLNM) and generalized additive model (GAM) were used to analyze the time-series. We examined the effects of the single and double pollutant models with a maximum lag day of 30 days. Effect estimates were described as relative risk (RR) and 95% confidence intervals (CIs) in daily outpatient visits for AR per 10 μg/m3 increases in PM2.5, PM10, SO2, NO2, O3, and per 1 mg/m3 increase in CO. Results A single pollutant's O3 level had an immediate positive effect on AR within two days, the relative risks (RR, 95% CI) were 1.066 (1.008-1.127), 1.057 (1.005-1.112) and 1.048 (1.002-1.097). PM2.5 had a lag effect within 11-18 days, the max relative risks (RR, 95% CI) were 1.083 (1.010-1.160). Moreover, O3, PM2.5, PM10, SO2 and NO2 had significant effects on AR in the two-pollutant model. The RR cumulative effect of PM2.5 became more pronounced as the concentration increased. The cumulative effect of NO2 was lesser than PM2.5. Conclusion Air pollutants were associated with the daily outpatient visits for AR, which may have considerable implications for developing tailored health policies and services to prevent AR in Chongqing and even all over the world.
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Affiliation(s)
- Dan Yang
- School of Medical Information, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Yongjie Yan
- School of Medical Information, Chongqing Medical University, Chongqing, People’s Republic of China
| | - Kexue Pu
- School of Medical Information, Chongqing Medical University, Chongqing, People’s Republic of China
- Medical Data Research Institute of Chongqing Medical University, Chongqing, People’s Republic of China
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Li Z, Liu M, Wu Z, Liu Y, Li W, Liu M, Lv S, Yu S, Jiang Y, Gao B, Wang X, Li X, Wang W, Lin H, Guo X, Liu X. Association between ambient air pollution and hospital admissions, length of hospital stay and hospital cost for patients with cardiovascular diseases and comorbid diabetes mellitus: Base on 1,969,755 cases in Beijing, China, 2014-2019. ENVIRONMENT INTERNATIONAL 2022; 165:107301. [PMID: 35598418 DOI: 10.1016/j.envint.2022.107301] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 05/10/2022] [Accepted: 05/11/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Evidence on the effects of the air pollutants on the hospital admissions, hospital cost and length of stay (LOS) among patients with comorbidities remains limited in China, particularly for patients with cardiovascular diseases and comorbid diabetes mellitus (CVD-DM). METHODS We collected daily data on CVD-DM patients from 242 hospitals in Beijing between 2014 and 2019. Generalized additive model was employed to quantify the associations between admissions, LOS, and hospital cost for CVD-DM patients and air pollutants. We further evaluated the attributable risk posed by air pollutants to CVD-DM patients, using both Chinese and WHO air quality guidelines as reference. RESULTS Per 10 ug/m3 increase of particles with an aerodynamic diameter < 2.5 μm (PM2.5), particles with an aerodynamic diameter < 10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbonic oxide (CO) and ozone (O3) corresponded to a 0.64% (95% CI: 0.57 to 0.71), 0.52% (95% CI: 0.46 to 0.57), 0.93% (95% CI: 0.67 to 1.20), 0.98% (95% CI: 0.81 to 1.16), 1.66% (95% CI: 1.18 to 2.14) and 0.53% (95% CI: 0.45 to 0.61) increment for CVD-DM patients' admissions. Among the six pollutants, particulate pollutants (PM2.5 and PM10) in most lag days exhibited adverse effects on LOS and hospital cost. For every 10 ug/m3 increase in PM2.5 and PM10, the absolute increase with LOS will increase 62.08 days (95% CI: 28.93 to 95.23) and 51.77 days (95% CI:22.88 to 80.66), respectively. The absolute increase with hospital cost will increase 105.04 Chinese Yuan (CNY) (95% CI: 49.27 to 160.81) and 81.76 CNY (95% CI: 42.01 to 121.51) in PM2.5 and PM10, respectively. Given WHO 2021 air quality guideline as the reference, PM2.5 had the maximum attributable fraction of 3.34% (95% CI: 2.94% to 3.75%), corresponding to an avoidable of 65,845 (95% CI: 57,953 to 73,812) patients with CVD-DM. CONCLUSION PM2.5 and PM10 are positively associated with hospital admissions, hospital cost and LOS for patients with CVD-DM. Policy changes to reduce air pollutants exposure may reduce CVD-DM admissions and substantial savings in health care spending and LOS.
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Affiliation(s)
- Zhiwei Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Mengyang Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China; Department of Nutrition and Food Hygiene, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Zhiyuan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Yue Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Weiming Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Mengmeng Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Shiyun Lv
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Siqi Yu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Yanshuang Jiang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Bo Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiaonan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne 3086, Australia
| | - Wei Wang
- School of Medical Sciences and Health, Edith Cowan University, WA6027 Perth, Australia
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China; School of Medical Sciences and Health, Edith Cowan University, WA6027 Perth, Australia; National Institute for Data Science in Health and Medicine, Capital Medical University, China.
| | - Xiangtong Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
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12
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Wang H, Li XB, Chu XJ, Cao NW, Wu H, Huang RG, Li BZ, Ye DQ. Ambient air pollutants increase the risk of immunoglobulin E-mediated allergic diseases: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:49534-49552. [PMID: 35595897 PMCID: PMC9122555 DOI: 10.1007/s11356-022-20447-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 04/21/2022] [Indexed: 05/06/2023]
Abstract
Immunoglobulin E (IgE)-mediated allergic diseases, including eczema, atopic dermatitis (AD), and allergic rhinitis (AR), have increased prevalence in recent decades. Recent studies have proved that environmental pollution might have correlations with IgE-mediated allergic diseases, but existing research findings were controversial. Thus, we performed a comprehensive meta-analysis from published observational studies to evaluate the risk of long-term and short-term exposure to air pollutants on eczema, AD, and AR in the population (per 10-μg/m3 increase in PM2.5 and PM10; per 1-ppb increase in SO2, NO2, CO, and O3). PubMed, Embase, and Web of Science were searched to identify qualified literatures. The Cochran Q test was used to assess heterogeneity and quantified with the I2 statistic. Pooled effects and the 95% confidence intervals (CIs) were used to evaluate outcome effects. A total of 55 articles were included in the study. The results showed that long-term and short-term exposure to PM10 increased the risk of eczema (PM10, RRlong = 1.583, 95% CI: 1.328, 1.888; RRshort = 1.006, 95% CI: 1.003-1.008) and short-term exposure to NO2 (RRshort = 1.009, 95% CI: 1.008-1.011) was associated with eczema. Short-term exposure to SO2 (RRshort: 1.008, 95% CI: 1.001-1.015) was associated with the risk of AD. For AR, PM2.5 (RRlong = 1.058, 95% CI: 1.014-1.222) was harmful in the long term, and short-term exposure to PM10 (RRshort: 1.028, 95% CI: 1.008-1.049) and NO2 (RRshort: 1.018, 95% CI: 1.007-1.029) were risk factors. The findings indicated that exposure to air pollutants might increase the risk of IgE-mediated allergic diseases. Further studies are warranted to illustrate the potential mechanism for air pollutants and allergic diseases.
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Affiliation(s)
- Hua Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xian-Bao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xiu-Jie Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Nv-Wei Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Hong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Rong-Gui Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Bao-Zhu Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
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13
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Jia X, Shen Z, Liu R, Han Y, Yang Y, Chen Q, Duan N. Association of fine particulate matter to allergic rhinitis: A systematic review and meta-analysis. EUR J INFLAMM 2022. [DOI: 10.1177/1721727x221089839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Objective: Fine particulate matter (PM2.5) has become a major concern for global environmental health, as it can lead to inflammatory diseases, such as allergic rhinitis (AR) and cause a high burden of disease. The aim of this study is to carry out a systematic review and meta-analysis based on available research to present the link between ambient PM2.5 and the risk of AR in global populations. Methods: We systematically searched six databases from their inception to 30 November 2020. An expanded literature search was carried out using the references of the included studies. Data extraction was performed using Excel 2016 software, and meta-analysis and heterogeneity analysis were performed using Review Manager 5.3 software. Results: A total of 14 out of 1361 studies were included in the meta-analysis. The quality assessment showed these studies to be of high quality. Seven out of 14 studies reported a relationship between ambient PM2.5 and AR through Odds ratios (OR, ORoverall = 1.14, 95% CI [1.00, 1.29]), but with a non-significant statistical overall test result (the test result for overall effect was Z = 1.98, p =.05). For subgroups by ages and regions, ORChildren = 1.08 (95% CI [1.04, 1.13]), and OROther ages = 1.50 (95% CI [1.24, 1.81]. The differences between age-related subgroups were significant (p <.01). Meanwhile, the relationship between PM2.5 and the risk of AR in Asia was significant (ORAsia = 1.20, 95% CI [1.01, 1.44], p =.001); whereas the association studies from outside of Asia have reported the relationship as non-significant (OROut-Asia = 1.04, 95% CI [0.82, 1.31], p =.76). Conclusion: There are reports that recognize that the exposure to PM2.5 may contribute to the development of AR. An international framework with a whole-of-society approach, including air quality control efforts and well-being health promotion among AR patients and at-risk populations, should be implemented.
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Affiliation(s)
- Xiaofei Jia
- Department of Otolaryngology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zhengzheng Shen
- Department of Otolaryngology, Shunyi Women and Children’s Hospital of Beijing Children’s Hospital, Beijing, China
| | - Rongrong Liu
- Department of Otolaryngology, Cangzhou Central Hospital, Cangzhou, China
| | - Yue Han
- Department of Otolaryngology, Aviation General Hospital, Beijing, China
| | - Yanzhong Yang
- Department of Otolaryngology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Qi Chen
- Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany
| | - Naichao Duan
- Department of Otolaryngology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
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14
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Wu R, Guo Q, Fan J, Guo C, Wang G, Wu W, Xu J. Association between air pollution and outpatient visits for allergic rhinitis: Effect modification by ambient temperature and relative humidity. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 821:152960. [PMID: 35016948 DOI: 10.1016/j.scitotenv.2022.152960] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/02/2022] [Accepted: 01/04/2022] [Indexed: 06/14/2023]
Abstract
Mounting evidence indicated the associations between air pollution and outpatient visits for allergic rhinitis (AR), while few studies assessed the effect modification of these associations by ambient temperature and relative humidity (RH). In this study, dataset of AR outpatients was obtained from Chinese People's Liberation Army Strategic Support Force Characteristic Medical Center in Beijing during 2014 to 2019, and the average concentrations of air pollutants including particulate matter ≤2.5 μm in diameter (PM2.5) and ≤10 μm (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), and meteorological factors (temperature and RH) at the same period were collected from one nearby air monitoring station. We performed a time-series study with Poisson regression model to examine the effects of air pollutants on AR outpatients after adjustment for potential confounders. And the effects modification analysis was further conducted by stratifying temperature and RH by tertiles into three groups of low, middle and high. In total of 33,599 outpatient visits for AR were recorded during the study period. Results found that a 10 μg/m3 increase in PM2.5, PM10, NO2 and SO2 was associated with significant increases in AR outpatients of 1.24% (95% confidence interval (CI): 0.69%, 1.78%), 0.79% (95% CI: 0.43%, 1.15%), 3.05% (95% CI: 1.72%, 4.40%) and 5.01% (95% CI: 1.18%, 8.96%), respectively. Stronger associations were observed in males than those in females, as well as in young adults (18-44 years) than those in other age groups. Air pollution effects on AR outpatients increased markedly at low temperature (<33.3th percentile) and high RH (>66.7th percentile). Findings in this study indicate that air pollution is associated with increased risk of AR outpatients, and the effects of air pollution on AR could be enhanced at low temperature and high RH.
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Affiliation(s)
- Rongshan Wu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Center for Environmental Health Risk Assessment and Research, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Qun Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Center for Environmental Health Risk Assessment and Research, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jingpu Fan
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Center for Environmental Health Risk Assessment and Research, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Changsheng Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Center for Environmental Health Risk Assessment and Research, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Gang Wang
- Department of Otolaryngology, Strategic Support Force Medical Center, Beijing 100005, China; State Environmental Protection Key Laboratory of Environmental Sense Organ Stress and Health, Beijing 100005, China
| | - Wei Wu
- Department of Otolaryngology, Strategic Support Force Medical Center, Beijing 100005, China; State Environmental Protection Key Laboratory of Environmental Sense Organ Stress and Health, Beijing 100005, China.
| | - Jian Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Center for Environmental Health Risk Assessment and Research, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
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15
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Liang L, Cai Y, Lyu B, Zhang D, Chu S, Jing H, Rahimi K, Tong Z. Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study. Respir Res 2022; 23:81. [PMID: 35382829 PMCID: PMC8985349 DOI: 10.1186/s12931-022-01998-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 03/18/2022] [Indexed: 11/24/2022] Open
Abstract
Background A small number of studies suggested that air pollution was associated with idiopathic pulmonary fibrosis (IPF) exacerbation, incidence and mortality. However, no studies to date were conducted in regions where air pollution is substantial. We aimed to investigate whether there are associations between acute increases in air pollution and hospitalization of patients with a confirmed primary diagnosis of IPF in Beijing. Methods Daily count of IPF hospitalizations (International Classification of Disease-10th Revision, J84.1) was obtained from an administrative database for 2013–2017 while daily city-wide average concentrations of PM10, PM2.5, NO2, Ozone, SO2 were obtained from 35 municipal monitoring stations for the same period. The association between daily IPF hospitalization and average concentration of each pollutant was analyzed with a generalized additive model estimating Poisson distribution. Results Daily 24-h mean PM2.5 concentration during 2013–2017 was 76.7 μg/m3. The relative risk (RR) of IPF hospitalization per interquartile range (IQR) higher (72 μg/m3) in PM2.5 was 1.049 (95% CI 1.024–1.074) and 1.031 (95% CI 1.007–1.056) for lag0 and moving averages 0–1 days respectively. No significant associations were observed for other lags. Statistically significant positive associations were also observed at lag0 with SO2, Ozone and NO2 (in men only). Positive associations were seen at moving averages 0–30 days for PM10 (RR per 86 μg/m3: 1.021, 95% CI 0.994–1.049), NO2 (RR per 30 μg/m3: 1.029, 95% CI 0.999–1.060), and SO2 (RR per 15 μg/m3: 1.060 (95% CI 1.025–1.097), but not with PM2.5 or Ozone. Conclusions Despite improvement in air quality since the implementation of clean air policy in 2013, acute exposure to higher levels of air pollution is significantly associated with IPF hospitalization in Beijing. Air quality policy should be continuously enforced to protect vulnerable IPF populations as well as the general public. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-01998-8.
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Affiliation(s)
- Lirong Liang
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yutong Cai
- Centre for Environmental Health and Sustainability, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Baolei Lyu
- Huayun Sounding Meteorology Technology Corporation, Beijing, China
| | - Di Zhang
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Shuilian Chu
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Hang Jing
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Kazem Rahimi
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Zhaohui Tong
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China. .,Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
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16
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Zhou L, Huang Y, Han Z, Wang J, Sun N, Zhang R, Dong W, Deng C, Zhuang G. Effects of rosmarinic acid on the inflammatory response in allergic rhinitis rat models after PM2.5 exposure. J Clin Lab Anal 2022; 36:e24316. [PMID: 35285093 PMCID: PMC8993598 DOI: 10.1002/jcla.24316] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 02/07/2022] [Accepted: 02/16/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Studies have shown the promising prospects of rosmarinic acid (RosA) for the prevention and treatment of allergic diseases. OBJECTIVE The aim of this study was to investigate the effects of RosA on inflammatory reaction in rat models of allergic rhinitis (AR) after PM2.5 exposure. METHODS Allergic rhinitis rat models were established by ovalbumin sensitization, and PM2.5 was applied at a concentration of 1000 μg/m3 , 3 h a day for 30 consecutive days. RosA was administered via intraperitoneal injection (20 mg/kg/d) for seven consecutive days. Allergic nasal symptoms were recorded. The expressions of interleukin (IL)-4, IL-13, interferon (INF)-γ, and OVA-sIgE were determined by ELISA. Histopathological changes in nasal mucosa were observed by HE staining. mRNA expressions of T-bet and GATA-3 in nasal mucosa were detected by RT-PCR. NF-κBp65 in cell nuclei and IκBα in cytoplasm were analyzed by Western blot. RESULTS PM2.5 exposure worsened allergic nasal symptoms in AR rats, while RosA ameliorated these symptoms. Histopathologically, AR rats exhibited disorganized nasal mucosal epithelium, cell exfoliation, eosinophilic infiltration of lamina propria, gland swelling, and submucosal vascular congestion, which were aggravated by PM2.5 exposure and alleviated by RosA. RosA decreased the expressions of IL-4, IL-13, and increased the level of IFN-γ in PM2.5-exposed AR rats. After RosA intervention, the expressions of GATA-3 mRNA and NF-κBp65 in PM2.5-exposed AR rats were significantly reduced, while those of T-bet mRNA and IκBα were markedly increased. CONCLUSION Rosmarinic acid may alleviate symptoms of AR rat models exposed to PM2.5 through the modulation of the NF-κB pathway and Th1/Th2 balance.
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Affiliation(s)
- Lingling Zhou
- Department of OtolaryngologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Yu Huang
- Department of OtolaryngologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Zhijin Han
- Department of OtolaryngologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Jinchao Wang
- Department of OtolaryngologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Na Sun
- Department of OtolaryngologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Ruxin Zhang
- Department of OtolaryngologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Weiyang Dong
- Department of Environmental Science and Engineering, Center for Atmospheric Chemistry StudyFudan UniversityShanghaiChina
| | - Congrui Deng
- Department of Environmental Science and Engineering, Center for Atmospheric Chemistry StudyFudan UniversityShanghaiChina
| | - Guoshun Zhuang
- Department of Environmental Science and Engineering, Center for Atmospheric Chemistry StudyFudan UniversityShanghaiChina
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17
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Xie W, Zhao H, Shu C, Wang B, Zeng W, Zhan Y. Association between ozone exposure and prevalence of mumps: a time-series study in a Megacity of Southwest China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:64848-64857. [PMID: 34318412 PMCID: PMC8315250 DOI: 10.1007/s11356-021-15473-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Abstract
In the present study, we aim to evaluate the delayed and cumulative effect of ozone (O3) exposure on mumps in a megacity with high population density and high humidity. We took Chongqing, a megacity in Southwest China, as the research area and 2013-2017 as the research period. A total of 49,258 confirmed mumps cases were collected from 122 hospitals of Chongqing. We employed the distributed lag nonlinear models with quasi-Poisson link to investigate the relationship between prevalence of mumps and O3 exposure after adjusting for the effects of meteorological conditions. The results show that the effect of O3 exposure on mumps was mainly manifested in the lag of 0-7 days. The single-day ;lag effect was the most obvious on the 4th day, with the relative risk (RR) of mumps occurs of 1.006 (95% CI: 1.003-1.007) per 10 μg/m3 in the O3 exposure. The cumulative RR within 7 days was 1.025 (95% CI: 1.013-1.038). Our results suggest that O3 exposure can increase the risk of mumps infection, which fills the gap of relevant research in mountainous areas with high population density and high humidity.
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Affiliation(s)
- Wenjun Xie
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, China
| | - Han Zhao
- Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Chang Shu
- 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
| | - Bin Wang
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, China
- Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin, China
| | - Wen Zeng
- Sichuan University-the Hong Kong Polytechnic University Institute for Disaster Management and Reconstruction, Chengdu, Sichuan, China.
| | - Yu Zhan
- Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, China.
- Yibin Institute of Industrial Technology, Sichuan University Yibin Park, Yibin, China.
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18
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Particulate Matter Exposure and Allergic Rhinitis: The Role of Plasmatic Extracellular Vesicles and Bacterial Nasal Microbiome. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182010689. [PMID: 34682436 PMCID: PMC8535327 DOI: 10.3390/ijerph182010689] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 10/04/2021] [Accepted: 10/06/2021] [Indexed: 12/11/2022]
Abstract
Particulate matter (PM) exposure is linked to the worsening of respiratory conditions, including allergic rhinitis (AR), as it can trigger nasal and systemic inflammation. To unveil the underlying molecular mechanisms, we investigated the effects of PM exposure on the release of plasmatic extracellular vesicles (EV) and on the complex cross-talk between the host and the nasal microbiome. To this aim, we evaluated the effects of PM10 and PM2.5 exposures on both the bacteria-derived-EV portion (bEV) and the host-derived EVs (hEV), as well as on bacterial nasal microbiome (bNM) features in 26 AR patients and 24 matched healthy subjects (HS). In addition, we assessed the role exerted by the bNM as a modifier of PM effects on the complex EV signaling network in the paradigmatic context of AR. We observed that PM exposure differently affected EV release and bNM composition in HS compared to AR, thus potentially contributing to the molecular mechanisms underlying AR. The obtained results represent the first step towards the understanding of the complex signaling network linking external stimuli, bNM composition, and the immune risponse.
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19
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Chen H, Wu J, Wang M, Wang S, Wang J, Yu H, Hu Y, Shang S. Impact of Exposure to Ambient Fine Particulate Matter Pollution on Adults with Knee Osteoarthritis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18189644. [PMID: 34574569 PMCID: PMC8466353 DOI: 10.3390/ijerph18189644] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/02/2021] [Accepted: 09/10/2021] [Indexed: 12/18/2022]
Abstract
The impact of exposure to fine particulate matter (PM2.5) on the incidence of knee osteoarthritis is unclear, especially in Beijing which is a highly polluted city. We conducted a time-series study to examine the correlation between PM2.5 exposure and outpatient visits for knee osteoarthritis in Beijing. Changes (in percentage) in the number of outpatient visits corresponding to every 10-μg/m3 increase in the PM2.5 concentration were determined using a generalized additive quasi-Poisson model. There were records of 9,797,446 outpatient visits for knee osteoarthritis in the study period from 1 January 2010 to 31 December 2017. The daily concentration of PM2.5 was 86.8 (74.3) μg/m3 over this period. A 10-μg/m3 increase in PM2.5 concentrations on lag days 0–3 was associated with a 1.41% (95% confidence interval: 1.40–1.41%) increase in outpatient visits for knee osteoarthritis. Females and patients aged above 65 years were more sensitive to the adverse effects of PM2.5 exposure. The present findings demonstrate that short-term exposure to PM2.5 resulted in an increase in the number of outpatient visits for knee osteoarthritis in Beijing. The findings shed light on the effects of air pollution on knee osteoarthritis and could guide risk-mitigating strategies in cities such as Beijing.
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Affiliation(s)
- Hongbo Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
- School of Nursing, Peking University, No. 38 Xueyuan Road, Beijing 100191, China
| | - Junhui Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
| | - Mengying Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
| | - Siyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
| | - Jiating Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
| | - Huan Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
- Medical Informatics Center, Peking University, No. 38 Xueyuan Road, Beijing 100191, China
- Correspondence: (Y.H.); (S.S.)
| | - Shaomei Shang
- School of Nursing, Peking University, No. 38 Xueyuan Road, Beijing 100191, China
- Correspondence: (Y.H.); (S.S.)
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20
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Duan R, Wu Y, Wang M, Wu J, Wang X, Wang Z, Hu Y, Duan L. Association between short-term exposure to fine particulate pollution and outpatient visits for ulcerative colitis in Beijing, China: A time-series study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 214:112116. [PMID: 33706140 DOI: 10.1016/j.ecoenv.2021.112116] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 02/09/2021] [Accepted: 02/26/2021] [Indexed: 06/12/2023]
Abstract
Environmental factors play an important role in the development of ulcerative colitis (UC). However, only few studies have examined the effects of air pollution on UC occurrence. We conducted a time-series analysis to explore the association between short-term exposure to fine particulate matter (PM2.5) and outpatient visits for UC in Beijing, China. In total, 84,000 outpatient visits for UC were retrieved from the Beijing Medical Claim Data for Employees between January 1, 2010 and June 30, 2012. Measurements of daily PM2.5 concentrations were obtained from the United States Embassy air-monitoring station. A generalized additive model with quasi-Poisson link was applied to examine the association between PM2.5 concentrations and outpatient visits for UC stratified by sex, age, and season. We found that short-term exposure to PM2.5 was significantly associated with increased daily outpatient visits for UC at lag 0 day. A 10 μg/m3 increase in PM2.5 concentration at lag 0 day corresponded to a 0.32% increase in outpatient visits for UC (95% confidence interval (CI), 0.05-0.58%; P = 0.019). There was a clear concentration-response association between daily outpatient visits for UC and PM2.5 concentrations. The PM2.5 effects were significant across all sex and season subgroups, without evidence of effect modification by sex (P = 0.942) or season (P = 0.399). The association was positive in patients younger than 65 years old but negative in those 65 years old or older, although the difference was not significant (P = 0.883). In conclusion, our study demonstrated that short-term exposure to ambient PM2.5 was significantly associated with an increased risk of daily outpatient visits for UC, especially in younger people. Additional studies are warranted to confirm our findings.
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Affiliation(s)
- Ruqiao Duan
- Department of Gastroenterology, Peking University Third Hospital, Beijing 100191, China
| | - Yao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Mengying Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Junhui Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Xiaowen Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Zijing Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
| | - Liping Duan
- Department of Gastroenterology, Peking University Third Hospital, Beijing 100191, China.
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21
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Singh V, Singh S, Biswal A. Exceedances and trends of particulate matter (PM 2.5) in five Indian megacities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 750:141461. [PMID: 32882489 PMCID: PMC7417276 DOI: 10.1016/j.scitotenv.2020.141461] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 08/01/2020] [Accepted: 08/01/2020] [Indexed: 05/04/2023]
Abstract
Fine particulate matter (PM2.5) is the leading environmental risk factor that requires regular monitoring and analysis for effective air quality management. This work presents the variability, trend, and exceedance analysis of PM2.5 measured at US Embassy and Consulate in five Indian megacities (Chennai, Kolkata, Hyderabad, Mumbai, and New Delhi) for six years (2014-2019). Among all cities, Delhi is found to be the most polluted city followed by Kolkata, Mumbai, Hyderabad, and Chennai. The trend analysis for six years for five megacities suggests a statistically significant decreasing trend ranging from 1.5 to 4.19 μg/m3 (2%-8%) per year. Distinct diurnal, seasonal, and monthly variations are observed in the five cities due to the different site locations and local meteorology. All cities show the highest and lowest concentrations in the winter and monsoon months respectively except for Chennai which observed the lowest levels in April. All the cities consistently show morning peaks (~08: 00-10:00 h) and the lowest level in late afternoon hours (~15:00-16:00 h). We found that the PM2.5 levels in the cities exceed WHO standards and Indian NAAQS for 50% and 33% of days in a year except for Chennai. Delhi is found to have more than 200 days of exceedances in a year and experiences an average 15 number of episodes per year when the level exceeds the Indian NAAQS. The trends in the exceedance with a varying threshold (20-380 μg/m3) suggest that not only is the annual mean PM2.5 decreasing in Delhi but also the number of exceedances is decreasing. This decrease can be attributed to the recent policies and regulations implemented in Delhi and other cities for the abatement of air pollution. However, stricter compliance of the National Clean Air Program (NCAP) policies can further accelerate the reduction of the pollution levels.
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Affiliation(s)
- Vikas Singh
- National Atmospheric Research Laboratory, Gadanki, AP, India.
| | - Shweta Singh
- National Atmospheric Research Laboratory, Gadanki, AP, India
| | - Akash Biswal
- National Atmospheric Research Laboratory, Gadanki, AP, India
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22
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Li L, Liu H, Wang Y, Han X, Ge T, Pan L. Construction of a nomogram for predicting the risk of allergic rhinitis among employees of long-distance bus stations in China. INDOOR AIR 2020; 30:1178-1188. [PMID: 32445588 DOI: 10.1111/ina.12694] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 03/30/2020] [Accepted: 05/11/2020] [Indexed: 06/11/2023]
Abstract
This study examined indoor air pollutants and their health effects on allergic rhinitis in 3194 employees of 226 bus station halls and then constructed a nomogram model to predict allergic rhinitis risk in those employees. Indoor air temperature, relative humidity, PM10 , PM2.5 , total bacteria, and total fungi were measured, and questionnaires were used to collect basic station information and employee health information. The results revealed that the over-standard rates of PM10 , PM2.5 , total bacteria, and total fungi were 18.16%, 31.13%, 2.22%, and 55.89%, respectively. Seasonal variations were found in temperature, relative humidity, and PM2.5 . Passenger flow could affect temperature, and total bacteria. Central air conditioning could affect total bacteria. A total of 15.90% of the employees were diagnosed as allergic rhinitis by physicians. Relative humidity, fungi, self-reported allergic rhinitis symptoms, and exposure to smoking were the influencing factors for allergic rhinitis. These four variables were incorporated to construct a nomogram. The concordance index of the nomogram was 0.775 (95% CI: 0.745-0.806) and 0.749 (95% CI: 0.715-0.783) for the training cohort and test cohort, respectively. The calibration plot revealed that the nomogram model exhibited good discrimination and consistency. This nomogram model may help predict the occurrence of allergic rhinitis.
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Affiliation(s)
- Li Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hang Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yu Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xu Han
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tanxi Ge
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Pan
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
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23
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Bagheri O, Moeltner K, Yang W. Respiratory illness, hospital visits, and health costs: Is it air pollution or pollen? ENVIRONMENTAL RESEARCH 2020; 187:109572. [PMID: 32442787 DOI: 10.1016/j.envres.2020.109572] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 04/19/2020] [Accepted: 04/21/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Both air pollution and airborne pollen can cause respiratory health problems. Since both are often jointly present in ambient air, it is important to control for one while estimating the effect of the other when considering pollution-abating policies. To date only a limited number of studies have considered the health effects of both irritants jointly for a general population, and for a sufficiently long time period to allow for variation in seasonal concentrations of both components. The primary goal of this study is to determine the causal impact of fine particulate matter (PM2.5) on hospital visits and related treatment costs, while controlling for potentially confounding pollen effects. Our study area is the metropolitan hub of Reno/Sparks in Northern Nevada. METHODS Taking advantage of a rare sample of daily pollen counts over a prolonged period of time (2009-2015), we model the effects of PM2.5 and pollen on respiratory-related hospital admissions for the population at large, plus specific age groups. Pollen data are provided by a local allergy clinic. Data on PM2.5 and other air pollutants are obtained from the U.S. Environmental Protection Agency's air quality data web site. We collect daily meteorological data from the National Centers for Environmental Information's data repository. Data on hospital admissions are given by the Nevada Center for Surveys, Evaluations, and Statistics. Our econometric approach centers on a fully robust count data (Poisson) model, estimated via Quasi-Maximum Likelihood. RESULTS We find that for our sample PM2.5 effects are largely robust to the inclusion of both pollen counts and temporal indicators. In contrast, pollen effects vanish when time fixed effects are added, pointing at their correlation with unobserved temporal confounders. At the same time, model fit improves with the inclusion of temporal indicators. Based on our preferred specification, we find a significant PM2.5 effect of approximately 0.5% additional hospital visits per day due to a one μg/m3 increase in PM2.5. This translates into expected augmented treatment costs of $2700 per day for the same unit-change in PM2.5. These figures can mount quickly when more pronounced and/or longer episodes of particulate matter pollution are considered, perhaps due to wildfire smoke. For instance, the expected increase in patients and costs due to a month-long 10-unit-jump of PM2.5 over the long-run annual average would amount to an extra 70 patients and approximately $680,000 in additional treatment costs.
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Affiliation(s)
- Omid Bagheri
- Department of Economics, Kent State University, Ohio, USA.
| | - Klaus Moeltner
- Department of Agricultural and Applied Economics, Virginia Tech, USA.
| | - Wei Yang
- Nevada Center for Surveys, Evaluation and Statistics, School of Community Health Sciences, University of Nevada, Reno, USA.
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24
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Wang J, Lu M, An Z, Jiang J, Li J, Wang Y, Du S, Zhang X, Zhou H, Cui J, Wu W, Liu Y, Song J. Associations between air pollution and outpatient visits for allergic rhinitis in Xinxiang, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:23565-23574. [PMID: 32291645 DOI: 10.1007/s11356-020-08709-0] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 04/01/2020] [Indexed: 05/23/2023]
Abstract
Several epidemiological studies have investigated the adverse health effects of air pollution, but studies reporting its effects on allergic rhinitis (AR) are limited, especially in developing countries having the most severe pollution. Limited studies have been conducted in China, but their results were inconsistent. So, we conducted a time-series study to evaluate the acute effect of six air pollutants (fine particulate matter [PM2.5], particulate matter with diameter less than 10 μm [PM10], sulfur dioxide [SO2], nitrogen dioxide [NO2], ozone [O3], and carbon monoxide [CO]) on hospital outpatient visits for AR in Xinxiang, China from January 1, 2015, to December 31, 2018. An over-dispersed Poisson generalized additive model adjusting for weather conditions, long-term trends, and day of the week was used. In total, 14,965 AR outpatient records were collected during the study period. Results found that each 10 μg/m3 increase in PM2.5, PM10, SO2, NO2, O3, and CO corresponded to 0.70% (95% confidence interval 0.00-1.41%), 0.79% (0.35-1.23%), 3.43% (1.47-5.39%), 4.54% (3.01-6.08%), 0.97% (- 0.11-2.05%), and 0.07% (0.02-0.12%) increments in AR outpatients on the current day, respectively. In the stratification analyses, statistically stronger associations were observed with PM2.5, PM10, SO2, NO2, and CO for AR outpatients < 15 years of age than in those 15-65 and ≥ 65 years of age, whereas the opposite result was found with O3. Associations between PM10, SO2, NO2, O3, and AR outpatients were higher in the warm season than those in the cool season. This study suggests that exposure to PM2.5, PM10, SO2, NO2, and CO was associated with increased AR risk and children younger than 15 years might be more vulnerable.
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Affiliation(s)
- Jingyao Wang
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Mengxue Lu
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Zhen An
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
- Henan International Collaborative Laboratory for Air Pollution Health Effects and Intervention, Xinxiang, 453003, China
| | - Jing Jiang
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
- Henan International Collaborative Laboratory for Air Pollution Health Effects and Intervention, Xinxiang, 453003, China
| | - Juan Li
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
- Henan International Collaborative Laboratory for Air Pollution Health Effects and Intervention, Xinxiang, 453003, China
| | - Yinbiao Wang
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Shuang Du
- Xinxiang First People's Hospital, Xinxiang, 453000, China
| | - Xuexing Zhang
- Xinxiang Second People's Hospital, Xinxiang, 453002, China
| | - Haofeng Zhou
- Xinxiang First People's Hospital, Xinxiang, 453000, China
| | - Juan Cui
- Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453003, China
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
- Henan International Collaborative Laboratory for Air Pollution Health Effects and Intervention, Xinxiang, 453003, China
| | - Yue Liu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China.
| | - Jie Song
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China.
- Henan International Collaborative Laboratory for Air Pollution Health Effects and Intervention, Xinxiang, 453003, China.
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