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Peng S, Yin X, Chen G, Sun J, Chen B, Zhou Y, Li Z, Liu F, Xiang H. Long-term exposure to varying-sized particulate matters and kidney disease in middle-aged and elder adults: A 8-year nationwide cohort study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 911:168621. [PMID: 37977376 DOI: 10.1016/j.scitotenv.2023.168621] [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: 09/14/2023] [Revised: 11/07/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023]
Abstract
Evidence for the causal relationship of particulate matters (PMs) exposure with kidney disease, especially PM1, PM1-2.5 and PM2.5-10, remained scarce among developing countries with severe pollution. We conducted a longitudinal cohort study involving 13,041 adults with free kidney disease from 150 Chinese counties. PMs concentrations were generated using a well-established satellite-based spatiotemporal model. And the time-varying Cox regression model along with stratified analyses were performed to determine the association and potential modifiers, respectively. We also calculated the population-attributable fraction to evaluate the burden of kidney disease attributable to PMs pollution. Between Jan 2011 and Dec 2018, 985 kidney disease incidents were identified with an incidence rate of 12.69 per 1000 person-years. Significant dose-response relationships were observed for all 5 kinds PMs. Specifically, an increased risk of kidney disease was associated with per 10 μg/m3 increment of PM1 (HR = 1.187, 95%CI: 1.114 to 1.265), PM1-2.5 (1.326, 1.212 to 1.452), PM2.5 (1.197, 1.139 to 1.258), PM2.5-10 (1.297, 1.240 to 1.357), and PM10 (1.137, 1.108 to 1.166). A mixture analysis method of weighted quantile regression model revealed that PM2.5-10 predominated the PMs mixture index (57.1 %), and followed with PM10 (26.4 %). Stratified analyses indicated the elder, overweight persons, smokers, respiratory patients and urban residents were more vulnerable to PMs pollution than their counterparts. Calculated population attributable fractions of kidney disease attributable to PMs pollution was 16.67-39.47 %. Higher PMs pollution was associated with the increased risk of kidney disease development in China. Acceleration of efforts to reduce PMs pollution was therefore urgently needed to alleviate kidney disease burden.
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Affiliation(s)
- Shouxin Peng
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China; Global Health Institute, Wuhan University, Wuhan, Hubei 430071, China
| | - Xiaoyi Yin
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China
| | - Gongbo Chen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Jinhui Sun
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China; Global Health Institute, Wuhan University, Wuhan, Hubei 430071, China
| | - Bingbing Chen
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China
| | - Yi Zhou
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China
| | - Zhaoyuan Li
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China; Global Health Institute, Wuhan University, Wuhan, Hubei 430071, China
| | - Feifei Liu
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China; Global Health Institute, Wuhan University, Wuhan, Hubei 430071, China
| | - Hao Xiang
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China; Global Health Institute, Wuhan University, Wuhan, Hubei 430071, China.
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Vallabani NVS, Gruzieva O, Elihn K, Juárez-Facio AT, Steimer SS, Kuhn J, Silvergren S, Portugal J, Piña B, Olofsson U, Johansson C, Karlsson HL. Toxicity and health effects of ultrafine particles: Towards an understanding of the relative impacts of different transport modes. ENVIRONMENTAL RESEARCH 2023; 231:116186. [PMID: 37224945 DOI: 10.1016/j.envres.2023.116186] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 05/05/2023] [Accepted: 05/15/2023] [Indexed: 05/26/2023]
Abstract
Exposure to particulate matter (PM) has been associated with a wide range of adverse health effects, but it is still unclear how particles from various transport modes differ in terms of toxicity and associations with different human health outcomes. This literature review aims to summarize toxicological and epidemiological studies of the effect of ultrafine particles (UFPs), also called nanoparticles (NPs, <100 nm), from different transport modes with a focus on vehicle exhaust (particularly comparing diesel and biodiesel) and non-exhaust as well as particles from shipping (harbor), aviation (airport) and rail (mainly subway/underground). The review includes both particles collected in laboratory tests and the field (intense traffic environments or collected close to harbor, airport, and in subway). In addition, epidemiological studies on UFPs are reviewed with special attention to studies aimed at distinguishing the effects of different transport modes. Results from toxicological studies indicate that both fossil and biodiesel NPs show toxic effects. Several in vivo studies show that inhalation of NPs collected in traffic environments not only impacts the lung, but also triggers cardiovascular effects as well as negative impacts on the brain, although few studies compared NPs from different sources. Few studies were found on aviation (airport) NPs, but the available results suggest similar toxic effects as traffic-related particles. There is still little data related to the toxic effects linked to several sources (shipping, road and tire wear, subway NPs), but in vitro results highlighted the role of metals in the toxicity of subway and brake wear particles. Finally, the epidemiological studies emphasized the current limited knowledge of the health impacts of source-specific UFPs related to different transport modes. This review discusses the necessity of future research for a better understanding of the relative potencies of NPs from different transport modes and their use in health risk assessment.
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Affiliation(s)
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Karine Elihn
- Department of Environmental Science, Stockholm University, 11418, Stockholm, Sweden
| | | | - Sarah S Steimer
- Department of Environmental Science, Stockholm University, 11418, Stockholm, Sweden
| | - Jana Kuhn
- Institute of Environmental Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Sanna Silvergren
- Environment and Health Administration, 104 20, Stockholm, Sweden
| | - José Portugal
- Institute of Environmental Assessment and Water Research, CSIC, 08034, Barcelona, Spain
| | - Benjamin Piña
- Institute of Environmental Assessment and Water Research, CSIC, 08034, Barcelona, Spain
| | - Ulf Olofsson
- Department of Machine Design, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Christer Johansson
- Department of Environmental Science, Stockholm University, 11418, Stockholm, Sweden; Environment and Health Administration, 104 20, Stockholm, Sweden
| | - Hanna L Karlsson
- Institute of Environmental Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden.
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Hu M, Wei J, Hu Y, Guo X, Li Z, Liu Y, Li S, Xue Y, Li Y, Liu M, Wang L, Liu X. Long-term effect of submicronic particulate matter (PM 1) and intermodal particulate matter (PM 1-2.5) on incident dyslipidemia in China: A nationwide 5-year cohort study. ENVIRONMENTAL RESEARCH 2023; 217:114860. [PMID: 36423667 DOI: 10.1016/j.envres.2022.114860] [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: 09/24/2022] [Revised: 11/15/2022] [Accepted: 11/18/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND There is insufficient evidence of associations between incident dyslipidemia with PM1 (submicronic particulate matter) and PM1-2.5 (intermodal particulate matter) in the middle-aged and elderly. We aimed to determine the long-term effects of PM1 and PM1-2.5 on incident dyslipidemia respectively. METHODS We studied 6976 individuals aged ≥45 from the China Health and Retirement Longitudinal Study from 2013 to 2018. The concentrations of particular matter (PM) for every individual's address were evaluated using a satellite-based spatiotemporal model. Dyslipidemia was evaluated by self-reported. The generalized linear mixed model was applied to quantify the correlations between PM and incident dyslipidemia. RESULTS After a 5-year follow-up, 333 (4.77%) participants developed dyslipidemia. Per 10 μg/m³ uptick in four-year average concentrations of PMs (PM1 and PM1-2.5) corresponded to 1.11 [95% confidence interval (CI): 1.01-1.23)] and 1.23 (95% CI: 1.06-1.43) fold risks of incident dyslipidemia. Nonlinear exposure-response curves were observed between PM and incident dyslipidemia. The effect size of PM1 on incident dyslipidemia was slightly higher in males [1.14 (95% CI: 0.98-1.32) vs. 1.04 (95% CI: 0.89-1.21)], the elderly [1.23 (95% CI: 1.04-1.45) vs. 1.03 (95% CI: 0.91-1.17)], people with less than primary school education [1.12 (95% CI: 0.94-1.33) vs. 1.08 (95% CI: 0.94-1.23)], and solid cooking fuel users [1.17 (95% CI: 1.00-1.36) vs. 1.06 (95% CI: 0.93-1.21)], however, the difference was not statistically significant (Z = -0.82, P = 0.413; Z = -1.66, P = 0.097; Z = 0.32, P = 0.752; Z = -0.89, P = 0.372). CONCLUSIONS Long-term exposure to PM1 and PM1-2.5 were linked with an increased morbidity of dyslipidemia in the middle-aged and elderly population. Males, the elderly, and solid cooking fuel users had higher risk. Further studies would be warranted to establish an accurate reference value of PM to mitigate growing dyslipidemia.
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Affiliation(s)
- Meiling Hu
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA.
| | - Yaoyu Hu
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China; National Institute for Data Science in Health and Medicine, Capital Medical University, China; Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Australia.
| | - Zhiwei Li
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Yuhong Liu
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Shuting Li
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Yongxi Xue
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Yuan Li
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Mengmeng Liu
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Lei Wang
- Department of Food and Nutritional Hygiene, School of Public Health, Capital Medical University, China.
| | - Xiangtong Liu
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
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Wang Q, Liu S. The Effects and Pathogenesis of PM2.5 and Its Components on Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2023; 18:493-506. [PMID: 37056681 PMCID: PMC10086390 DOI: 10.2147/copd.s402122] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/27/2023] [Indexed: 04/15/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD), a heterogeneous disease, is the leading cause of death worldwide. In recent years, air pollution, especially particulate matter (PM), has been widely studied as a contributing factor to COPD. As an essential component of PM, PM2.5 is associated with COPD prevalence, morbidity, and acute exacerbations. However, the specific pathogenic mechanisms were still unclear and deserve further research. The diversity and complexity of PM2.5 components make it challenging to get its accurate effects and mechanisms for COPD. It has been determined that the most toxic PM2.5 components are metals, polycyclic aromatic hydrocarbons (PAHs), carbonaceous particles (CPs), and other organic compounds. PM2.5-induced cytokine release and oxidative stress are the main mechanisms reported leading to COPD. Nonnegligibly, the microorganism in PM 2.5 may directly cause mononuclear inflammation or break the microorganism balance contributing to the development and exacerbation of COPD. This review focuses on the pathophysiology and consequences of PM2.5 and its components on COPD.
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Affiliation(s)
- Qi Wang
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People’s Republic of China
| | - Sha Liu
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, People’s Republic of China
- Correspondence: Sha Liu, Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, 35 Jiefang Avenue, Zhengxiang District, Hengyang, Hunan, 421001, People’s Republic of China, Email
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5
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Zhou L, Tao Y, Su X, Chen X, Li L, Fu Q, Xie J, Chen R. Short-Term Associations between Size-Fractioned Particles and Cardiopulmonary Function in COPD Patients: A Panel Study in Shanghai, China, during 2014-2021. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12473. [PMID: 36231774 PMCID: PMC9566564 DOI: 10.3390/ijerph191912473] [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: 08/15/2022] [Revised: 09/16/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
It remains unknown which size fractions dominate the adverse cardiopulmonary effects of particulate matter (PM). Therefore, this study aimed to explore the differential associations between size-fractioned particle number concentrations (PNCs) and cardiopulmonary function measures, including the forced expiratory volume in one second (FEV1), the forced vital capacity (FVC), and the left ventricular ejection fraction (LVEF). We conducted a panel study among 211 patients with chronic obstructive pulmonary disease (COPD) in Shanghai, China, between January 2014 and December 2021. We applied linear mixed-effect models to determine the associations between cardiopulmonary function measures and PNCs ranging from 0.01 to 10 μm in diameter. Generally, only particles <1 μm showed significant associations, i.e., ultrafine particles (UFPs, <0.1 μm) for FVC and particles ranging from 0.1 to 1 µm for FEV1 and LVEF. An interquartile range (IQR) increment in UFP was associated with decreases of 78.4 mL in FVC. PNC0.1-0.3 and PNC0.3-1 corresponded to the strongest effects on FEV1 (119.5 mL) and LVEF (1.5%) per IQR increment. Particles <1 µm might dominate the cardiopulmonary toxicity of PM, but UFPs might not always have the strongest effect. Tailored regulations towards particles <1 µm should be intensified to reduce PM pollution and protect vulnerable populations.
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Affiliation(s)
- Lu Zhou
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yingmin Tao
- Division of General Practice, The Fifth People’s Hospital of Shanghai, Fudan University, Shanghai 200240, China
- Center of Community-Based Health Research, Fudan University, Shanghai 200240, China
| | - Xiaozhen Su
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - Xiyin Chen
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Liang Li
- Division of General Practice, The Fifth People’s Hospital of Shanghai, Fudan University, Shanghai 200240, China
- Center of Community-Based Health Research, Fudan University, Shanghai 200240, China
| | - Qingyan Fu
- Shanghai Environmental Monitoring Center, Shanghai 200235, China
| | - Juan Xie
- Division of General Practice, The Fifth People’s Hospital of Shanghai, Fudan University, Shanghai 200240, China
- Center of Community-Based Health Research, Fudan University, Shanghai 200240, China
| | - Renjie Chen
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China
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6
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Wang K, Zhang Y, Wang Y, Liu J, Zhou P, Yuan Y, Yin Z, Mo S, Yu Y, Peng M. Secular trends in global burden of diabetes attributable to particulate matter pollution from 1990 to 2019. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:52844-52856. [PMID: 35277821 DOI: 10.1007/s11356-022-19510-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/25/2022] [Indexed: 06/14/2023]
Abstract
Increasing evidence suggests an association between fine particulate matter (PM2.5) exposure and type 2 diabetes mellitus. However, there is still a lack of comparative evaluation regarding diabetes burden due to ambient and indoor PM2.5 pollution at a global scale. This study attempts to provide a systematic and comprehensive profile for PM2.5-attributable burden of diabetes and its spatiotemporal trends, globally and regionally. Comparative estimates of diabetes attributable to ambient PM2.5 and household air pollution (HAP) from solid fuels for 204 countries and territories were derived from the Global Burden of Disease Study 2019. Globally, 292.5 (95% uncertainty interval: 207.1, 373.4) thousand deaths and 13.0 (9.1, 17.2) million disability-adjusted life years (DALYs) from diabetes were attributed to PM2.5 pollution in 2019, wherein more than two-thirds (67.3% deaths and 69.7% DALYs) were contributed by ambient PM2.5. Compared to 1990, age-standardized DALY rate (ASDR) in 2019 attributable to ambient PM2.5 increased by 85.9% (APC: 2.21% [2.15, 2.27]), while HAP-associated ASDR decreased by 37.9% (APC: - 1.66% [- 1.82, - 1.50]). We observed a negative correlation between SDI and APC in ASMR (rs = - 0.5, p < 0.001) and ASDR (rs = -0.4, p < 0.001) among 204 countries and territories. HAP-related diabetes experienced a sharp decline during 1990-2019, while global burden of diabetes attributable to ambient PM2.5 was rising rapidly. The elderly and people in low-SDI countries suffered from the greatest burden of diabetes due to PM2.5 pollution. More targeted interventions should be taken by governments to reduce PM2.5 exposure and related diabetes burden.
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Affiliation(s)
- Kai Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yaqi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Jiaxin Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Peixuan Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yang Yuan
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Zhouxin Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Shaocai Mo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yong Yu
- Department of Infection Control, Shiyan Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China
- School of Public Health, Hubei University of Medicine, Shiyan, 442000, China
| | - Minjin Peng
- Department of Infection Control, Shiyan Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, China.
- School of Public Health, Hubei University of Medicine, Shiyan, 442000, China.
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7
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Shang D, Tang L, Fang X, Wang L, Yang S, Wu Z, Chen S, Li X, Zeng L, Guo S, Hu M. Variations in source contributions of particle number concentration under long-term emission control in winter of urban Beijing. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 304:119072. [PMID: 35301034 DOI: 10.1016/j.envpol.2022.119072] [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: 11/29/2021] [Revised: 02/20/2022] [Accepted: 02/25/2022] [Indexed: 06/14/2023]
Abstract
Many studies revealed the rapid decline of atmospheric PM2.5 in Beijing due to the emission control measures. The variation of particle number concentration (PN) which has important influences on regional climate and human health, however, was rarely reported. This study measured the particle number size distributions (PNSD) in 3-700 nm in winter of Beijing during 2013-2019. It was found that PN decreased by 58% from 2013 to 2017, but increased by 29% from 2017 to 2019. By Positive matrix factorization (PMF) analysis, five source factors of PNSD were identified as Nucleation, Fresh traffic, Aged traffic + Diesel, Coal + biomass burning and Secondary. Overall, factors associated with primary emissions were found to decrease continuously. Coal + biomass burning dominated the reduction (65%) among the three primary sources during 2013-2017, which resulted from the great efforts on emission control of coal combustion and biomass burning. Fresh traffic and Aged traffic + Diesel decreased by 43% and 66%, respectively, from 2013 to 2019, as a result of the upgrade of the vehicle emission standards in Beijing-Tianjin-Hebei area. On the other hand, the contribution from Nucleation and Secondary decreased with the reduction of gaseous precursors in 2013-2017, but due to the increased intensity of new particle formation (NPF) and secondary oxidation, they increased by 56% and 70%, respectively, from 2017 to 2019, which led to the simultaneously increase of PN and particle volume concentration. This study indicated that NPF may play an important role in urban atmosphere under continuous air quality improvement.
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Affiliation(s)
- Dongjie Shang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Lizi Tang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Xin Fang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Lifan Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Suding Yang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Zhijun Wu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Shiyi Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Xin Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Limin Zeng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Song Guo
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Min Hu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
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8
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Hu W, Fang L, Zhang H, Ni R, Pan G. Global disease burden of COPD from 1990 to 2019 and prediction of future disease burden trend in China. Public Health 2022; 208:89-97. [PMID: 35728417 DOI: 10.1016/j.puhe.2022.04.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 04/15/2022] [Accepted: 04/29/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVES This study aimed to assess and predict the disease burden attributable to chronic obstructive pulmonary disease (COPD) in a timely, comprehensive, and reliable manner, thereby mitigating the health hazards of COPD. STUDY DESIGN AND METHODS Data on the disease burden owing to COPD from 1990 to 2019 were extracted from the Global Burden of Disease (GBD) Study 2019. Linear regression analysis was used to calculate the estimated annual percentage change (EAPC) in the age-standardized rates. Non-parametric tests were used for subgroup analysis. The Bayesian age-period-cohot (BAPC) model integrated nested Laplace approximations to predict the disease burden over the next 25 years. Sensitivity analysis was performed using the Norpred APC model. RESULTS Globally, the COPD-related age-standardized incidence rate decreased from 216.48/100,000 in 1990 to 200.49/100,000 in 2019, with an EAPC of -0.33. But the number of new cases increased from 8,722,966 in 1990 to 16, 214, 828 in 2019. Trends in prevalence, deaths, and disability-adjusted life years (DALYs) were the same as incidence. There were significant differences in disease burden between the genders and all age groups (P < 0.05) in China. The projections suggested that the COPD-related number of new cases and deaths in China would increase by approximately 1.5 times over the next 25 years. CONCLUSIONS The number of incidence, prevalence, deaths, and DALYs had all increased in China in the past and would continue to grow over the next 25 years. Therefore, measures should be taken to target risk factors and high-risk groups.
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Affiliation(s)
- W Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - L Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - H Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - R Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - G Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
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Hua Y, Yuan X, Wang J, Zeng K, Zhi S, Liu L. Association between air pollution and hospital admissions for chronic respiratory disease in people aged over 65 years: a time series analysis in Ningbo, China, 2015-2017. Int Arch Occup Environ Health 2022; 95:1293-1304. [PMID: 35661917 DOI: 10.1007/s00420-022-01887-z] [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: 10/06/2021] [Accepted: 05/16/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE To provide essential information of environmental triggers leading to CRD. METHODS We investigated the short-term effects of ambient air pollutants on CRD-related hospitalizations in people aged ≥ 65 years in Ningbo. Data on 23,610 cases of CRD requiring hospitalization were collected from January 2015 to August 2017. After adjusting for temporal trends, seasonality, meteorological conditions, day of week (DOW), and public holidays, we used generalized additive Poisson distribution models to calculate the excess risks (ERs) and 95% confidence intervals (95% CIs) of CRD related hospitalizations. RESULTS Our results showed that fine particulate matter (PM2.5), inhalable particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) were associated with CRD-related hospitalizations in people aged ≥ 65 years. We observed that each 10 μg/m3 increase (except for each 0.1 mg/m3 increase in CO) in the concentration of air pollutants, the percentage of CRD-related hospitalizations due to PM2.5, PM10, and SO2 exposure at lag 07, NO2 exposure at lag 03, and CO exposure at lag 0 increased by 2.13% (95% CI: 0.55%, 3.74%), 1.76% (95% CI: 0.70%, 2.83%), 8.24% (95% CI: 0.92%, 16.09%), 2.16% (95% CI: 0.26%, 4.05%), and 1.19% (95% CI: 0.26%, 2.12%), respectively. In addition, we found stronger effects of particulate matter in 75-84 years age group, on warmer days, and in asthmatics. CONCLUSION In conclusion, air pollution may have adverse effects on CRD-related hospitalizations among people aged ≥ 65 years in Ningbo. Therefore, public health measures should be taken to improve air quality.
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Affiliation(s)
- Yuzhe Hua
- School of Medicine, Ningbo University, Ningbo, China
| | - Xiaoqi Yuan
- Ningbo Women and Children Hospital, Ningbo, China
| | - Jichao Wang
- The Affiliated Hospital of Medical School, Ningbo, China
| | - Ke Zeng
- The Affiliated Hospital of Medical School, Ningbo, China
| | - Shuai Zhi
- School of Medicine, Ningbo University, Ningbo, China
| | - Liya Liu
- School of Medicine, Ningbo University, Ningbo, China.
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10
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Chong KC, Chen Y, Chan EYY, Lau SYF, Lam HCY, Wang P, Goggins WB, Ran J, Zhao S, Mohammad KN, Wei Y. Association of weather, air pollutants, and seasonal influenza with chronic obstructive pulmonary disease hospitalization risks. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 293:118480. [PMID: 34763018 DOI: 10.1016/j.envpol.2021.118480] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 11/02/2021] [Accepted: 11/06/2021] [Indexed: 05/21/2023]
Abstract
The influences of weather and air pollutants on chronic obstructive pulmonary disease (COPD) have been well-studied. However, the heterogeneous effects of different influenza viral infections, air pollution and weather on COPD admissions and re-admissions have not been thoroughly examined. In this study, we aimed to elucidate the relationships between meteorological variables, air pollutants, seasonal influenza, and hospital admissions and re-admissions due to COPD in Hong Kong, a non-industrial influenza epicenter. A total number of 507703 hospital admissions (i.e., index admissions) and 301728 re-admission episodes (i.e., episodes within 30 days after the previous discharge) for COPD over 14 years (1998-2011) were obtained from all public hospitals. The aggregated weekly numbers were matched with meteorological records and outdoor air pollutant concentrations. Type-specific and all-type influenza-like illness positive (ILI+) rates were used as proxies for influenza activity. Generalized additive models were used in conjunction with distributed-lag non-linear models to estimate the associations of interest. According to the results, high concentrations of fine particulate matter, oxidant gases, and cold weather were strong independent risk factors of COPD outcomes. The cumulative adjusted relative risks exhibited a monotone increasing trend except for ILI+ B, and the numbers were statistically significant over the entire observed range of ILI+ total and ILI+ A/H3N2 when the reference rate was zero. COPD hospitalization risk from influenza infection was higher in the elderly than that in the general population. In conclusion, our results suggest that health administrators should impose clean air policies, such as strengthening emissions control on petrol vehicles, to reduce pollution from oxidant gases and particulates. An extension of the influenza vaccination program for patients with COPD may need to be encouraged: for example, vaccination may be included in hospital discharge planning, particularly before the winter epidemic.
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Affiliation(s)
- Ka Chun Chong
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong; Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China; Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, Hong Kong
| | - Yu Chen
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Emily Ying Yang Chan
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Steven Yuk Fai Lau
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Holly Ching Yu Lam
- National Heart & Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Pin Wang
- Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, Connecticut, United States
| | - William Bernard Goggins
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shi Zhao
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong; Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Kirran N Mohammad
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Yuchen Wei
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong; Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, Hong Kong.
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11
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Peng W, Li H, Peng L, Wang Y, Wang W. Effects of particulate matter on hospital admissions for respiratory diseases: an ecological study based on 12.5 years of time series data in Shanghai. Environ Health 2022; 21:12. [PMID: 35027064 PMCID: PMC8756174 DOI: 10.1186/s12940-021-00828-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 12/27/2021] [Indexed: 05/08/2023]
Abstract
BACKGROUND Previous epidemiological studies on the association between short-term exposure to particulate matter (PM) with hospital admission in major cities in China were limited to shorter study periods or a single hospital. The aim of this ecological study based on a 12.5-year time series was to investigate the association of short-term exposure to PM with aerodynamic diameter ≤ 2.5 μm (PM2.5) and aerodynamic diameter ≤ 10 μm (PM10) with hospital admissions for respiratory diseases. METHODS Daily hospital admissions data were from the Shanghai Medical Insurance System for the period January 1, 2008 to July 31, 2020. We estimated the percentage change with its 95% confidence interval (CI) for each 10 μg/m3 increase in the level of PM2.5 and PM10 after adjustment for calendar time, day of the week, public holidays, and meteorological factors applying a generalized additive model with a quasi-Poisson distribution. RESULTS There were 1,960,361 hospital admissions for respiratory diseases in Shanghai during the study period. A 10 μg/m3 increase in the level of each class of PM was associated with increased total respiratory diseases when the lag time was 0 day (PM2.5: 0.755%; 95% CI: 0.422, 1.089%; PM10: 0.250%; 95% CI: 0.042, 0.459%). The PM2.5 and PM10 levels also had positive associations with admissions for COPD, asthma, and pneumonia. Stratified analyses demonstrated stronger effects in patients more than 45 years old and during the cold season. Total respiratory diseases increased linearly with PM concentration from 0 to 100 μg/m3, and increased more slowly at higher PM concentrations. CONCLUSIONS This time-series study suggests that short-term exposure to PM increased the risk for hospital admission for respiratory diseases, even at low concentrations. These findings suggest that reducing atmospheric PM concentrations may reduce hospital admissions for respiratory diseases.
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Affiliation(s)
- Wenjia Peng
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Hao Li
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Li Peng
- Department of Epidemiology, Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200032, China
| | - Ying Wang
- Key Laboratory of Health Technology Assessment, National Health and Family Planning Commission of the People's Republic of China, Fudan University, Shanghai, China.
- IRDR-ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, 200032, China.
| | - Weibing Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, 200032, China.
- Department of Epidemiology, Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200032, China.
- Department of Social Medicine, School of Public Health, Fudan University, Shanghai, 200032, China.
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12
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Zhang M, Zhu Y. Association between particulate matter pollution and the incidence of mumps in 31 provinces from China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:51210-51216. [PMID: 33977431 DOI: 10.1007/s11356-021-14287-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 05/03/2021] [Indexed: 06/12/2023]
Abstract
Previous studies have found that particulate matter (PM) pollution is a risk factor for respiratory disease by affecting body's immunity and carrying microorganisms. This study aimed to explore the association between PM and the incidence of mumps in 31 provinces from China. Monthly mumps cases, air pollution concentration, and meteorological factors in each province were obtained between January 2014 to December 2017. We used a generalized additive model (GAM) to investigate the associations of PM2.5 and PM10 with monthly mumps cases. We also tested the statistical significance of the differences between effect estimates in the warm season (April to September) and cold season (October to March) to explore potential effect modification. We found that a 10-μg/m3 increase (lag0) in PM2.5, and PM10 was associated with a 2.34% (95% CI: 1.32 to 3.36) and 1.90% (95% CI: 1.19 to 2.62) increase in the monthly counts of mumps cases, respectively. We also observed significant positive associations of PM2.5 and PM10 with mumps cases at lag0-1. These results were robust in our sensitivity analyses. No significant differences were found between the season-specific effects. Our results indicate that there is a positive relationship between PM and the incidence of mumps, which provides important implications for the prevention and control of mumps.
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Affiliation(s)
- Mengru Zhang
- School of Management, University of Science and Technology of China, Hefei, China
| | - Yongjian Zhu
- School of Management, University of Science and Technology of China, Hefei, China.
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13
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Sahoo MM. Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:40474-40495. [PMID: 33638789 PMCID: PMC7912974 DOI: 10.1007/s11356-021-12709-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 01/25/2021] [Indexed: 04/15/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease represents the causative agent with a potentially fatal risk which is having great global human health concern. Earlier studies suggested that air pollutants and meteorological factors were considered as the risk factors for acute respiratory infection, which carries harmful pathogens and affects the immunity. The study intended to explore the correlation between air pollutants, meteorological factors, and the daily reported infected cases caused by novel coronavirus in India. The daily positive infected cases, concentrations of air pollutants, and meteorological factors in 288 districts were collected from January 30, 2020, to April 23, 2020, in India. Spearman's correlation and generalized additive model (GAM) were applied to investigate the correlations of four air pollutants (PM2.5, PM10, NO2, and SO2) and eight meteorological factors (Temp, DTR, RH, AH, AP, RF, WS, and WD) with COVID-19-infected cases. The study indicated that a 10 μg/m3 increase during (Lag0-14) in PM2.5, PM10, and NO2 resulted in 2.21% (95%CI: 1.13 to 3.29), 2.67% (95% CI: 0.33 to 5.01), and 4.56 (95% CI: 2.22 to 6.90) increase in daily counts of Coronavirus Disease 2019 (COVID 19)-infected cases respectively. However, only 1 unit increase in meteorological factor levels in case of daily mean temperature and DTR during (Lag0-14) associated with 3.78% (95%CI: 1.81 to 5.75) and 1.82% (95% CI: -1.74 to 5.38) rise of COVID-19-infected cases respectively. In addition, SO2 and relative humidity were negatively associated with COVID-19-infected cases at Lag0-14 with decrease of 7.23% (95% CI: -10.99 to -3.47) and 1.11% (95% CI: -3.45 to 1.23) for SO2 and for relative humidity respectively. The study recommended that there are significant correlations between air pollutants and meteorological factors with COVID-19-infected cases, which substantially explain the effect of national lockdown and suggested positive implications for control and prevention of the spread of SARS-CoV-2 disease.
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Affiliation(s)
- Mrunmayee Manjari Sahoo
- Domain of Environmental and Water Resources Engg, SCE, Lovely Professional University, Phagwara, 144411, India.
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14
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Ye X, Li Z, Zhou X, Ruan X, Lin T, Zhou J, Yang D, Yang S, Chen X, Wu K, Wang X, Ke J, Liu X, Peng L, Luo L. The Impact of a Health Forecasting Service on the Visits and Costs in Outpatient and Emergency Departments for COPD Patients - Shanghai Municipality, China, October 2019-April 2020. China CDC Wkly 2021; 3:495-499. [PMID: 34594921 PMCID: PMC8422234 DOI: 10.46234/ccdcw2021.127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 06/02/2021] [Indexed: 11/25/2022] Open
Abstract
What is already known on this topic? The morbidity and mortality of chronic obstructive pulmonary disease (COPD) is associated with adverse weather and air pollution. However, COPD patients are not able to be alerted in advance of high risk environments. What is added by this report? This prospective controlled trial conducted in Pudong New Area of Shanghai from October 2019 to April 2020 provided evidence of COPD risk forecasting service on the reductions in visits and costs of COPD patients in outpatient and emergency departments in China for the first time. What are the implications for public health practice? This study suggests that COPD risk forecasting service could be integrated into existing COPD management in public health to improve the health and economic outcomes.
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Affiliation(s)
- Xiaofang Ye
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.,Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China
| | - Zhitao Li
- Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.,Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Xin Zhou
- Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.,Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Xiaonan Ruan
- Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.,Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Tao Lin
- Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.,Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Ji Zhou
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.,Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China
| | - Dandan Yang
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.,Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China
| | - Sixu Yang
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.,Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China
| | - Xiaodan Chen
- Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.,Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Kang Wu
- Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.,Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Xiaonan Wang
- Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.,Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Juzhong Ke
- Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.,Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Xiaolin Liu
- Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, China.,Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Li Peng
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.,Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China
| | - Li Luo
- School of Public Health, Fudan University, Shanghai, China
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15
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Zhang Y, Wang Z, Cao Y, Zhang L, Wang G, Dong F, Deng R, Guo B, Zeng L, Wang P, Dai R, Ran Y, Lyu W, Miao P, Su S. The effect of consecutive ambient air pollution on the hospital admission from chronic obstructive pulmonary disease in the Chengdu region, China. AIR QUALITY, ATMOSPHERE, & HEALTH 2021; 14:1049-1061. [PMID: 33758631 PMCID: PMC7971392 DOI: 10.1007/s11869-021-00998-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 02/11/2021] [Indexed: 06/02/2023]
Abstract
Hospitalisation risks for chronic obstructive pulmonary disease (COPD) have been attributed to ambient air pollution worldwide. However, a rise in COPD hospitalisations may indicate a considerable increase in fatality rate in public health. The current study focuses on the association between consecutive ambient air pollution (CAAP) and COPD hospitalisation to offer predictable early guidance towards estimates of COPD hospital admissions in the event of consecutive exposure to air pollution. Big data analytics were collected from 3-year time series recordings (from 2015 to 2017) of both air data and COPD hospitalisation data in the Chengdu region in China. Based on the combined effects of CAAP and unit increase in air pollutant concentrations, a quasi-Poisson regression model was established, which revealed the association between CAAP and estimated COPD admissions. The results show the dynamics and outbreaks in the variations in COPD admissions in response to CAAP. Cross-validation and mean squared error (MSE) are applied to validate the goodness of fit. In both short-term and long-term air pollution exposures, Z test outcomes show that the COPD hospitalisation risk is greater for men than for women; similarly, the occurrence of COPD hospital admissions in the group of elderly people (> 65 years old) is significantly larger than that in lower age groups. The time lag between the air quality and COPD hospitalisation is also investigated, and a peak of COPD hospitalisation risk is found to lag 2 days for air quality index (AQI) and PM10, and 1 day for PM2.5. The big data-based predictive paradigm would be a measure for the early detection of a public health event in post-COVID-19. The study findings can also provide guidance for COPD admissions in the event of consecutive exposure to air pollution in the Chengdu region.
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Affiliation(s)
- Yi Zhang
- The School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, 611731 China
- Aircraft Swarm Intelligent Sensing Cooperative Control Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 611731 China
| | - Ziyue Wang
- The School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, 611731 China
- Aircraft Swarm Intelligent Sensing Cooperative Control Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 611731 China
| | - Yu Cao
- The School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, 611731 China
- Aircraft Swarm Intelligent Sensing Cooperative Control Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 611731 China
| | - Lifu Zhang
- The School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, 611731 China
- Aircraft Swarm Intelligent Sensing Cooperative Control Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 611731 China
| | - Guan Wang
- The School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, 611731 China
- Aircraft Swarm Intelligent Sensing Cooperative Control Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 611731 China
| | - Fangjie Dong
- The Centre for Health Statistics and Information National Health Commission of the P.R. of China, Beijing, 100000 China
| | - Ren Deng
- Health Information Center of Sichuan Province, Chengdu, 611731 China
| | - Baogen Guo
- TCM Hospital of Shuangliu District, Chengdu, 610200 China
| | - Li Zeng
- Longchang People’s Hospital, Neijiang, 642150 China
| | - Peng Wang
- The People’s Hospital of Weiyuan, Weiyuan, 642450 China
| | - Ruimei Dai
- Sichuan Post and Telecommunication College, Chengdu, 610067 China
| | - Yu Ran
- The School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, 611731 China
- Aircraft Swarm Intelligent Sensing Cooperative Control Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 611731 China
| | - Wenyi Lyu
- The School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, 611731 China
- Aircraft Swarm Intelligent Sensing Cooperative Control Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 611731 China
| | - Peiwen Miao
- Sichuan Agricultural University, Chengdu, 625014 China
| | - Steven Su
- The Biomedical Engineering School, University of Technology Sydney, Ultimo, NSW 2007 Australia
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16
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Liu XB, Wen XM, Sun XH, Hong QQ, Wang Q, Kang Z, Xia SJ, Yang C, Zhu S. The Short-Term Effects of Ambient Air Pollutants are Associated With Daily Mortality in Northeast China From 2014 to 2018: A Time Series Analysis. J Occup Environ Med 2021; 63:173-180. [PMID: 33149009 DOI: 10.1097/jom.0000000000002075] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVE We aimed to examine the associations between ambient air pollutants and daily mortality in Northeast China from 2014 to 2018. METHODS A two-stage approach was used to estimate particulate matter with an aerodynamic diameter of 10 μm (PM10), nitrogen dioxide (NO2), and sulfur dioxide (SO2) exposure and daily mortality. RESULTS An increase of 10 μg/m3 of PM10 exposure and NO2 at lag of 0 to16 days was associated with the cumulative relative risk of 1.011 (95% confidence interval [CI]: 1.004, 1.019) and 1.026 (95% CI: 1.004, 1.049), respectively, in non-accident mortality. Meanwhile, significant association was observed in people aged under 60 years between SO2 exposure and respiratory mortality at lag of 0 to 9 days. CONCLUSIONS Our findings strengthen the evidence of PM10 and NO2 exposures were independent risk for daily mortality.
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Affiliation(s)
- Xiao-Bo Liu
- Department of Epidemiology and Statistics, School of Basic Medical Sciences, Jinan University, Guangzhou, China (Ms Wen, Ms Wang, Dr Xia, Dr Zhu); Department of Environment, Harbin Center for Disease Control and Prevention, Harbin, China (Ms Liu, Ms Hong, Ms Kang); Department of Physicochemical Laboratory, Harbin Center for Disease Control and Prevention, Harbin, China (Ms Sun); Harbin Center for Disease Control and Prevention, Harbin, China (Mr Yang)
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17
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Chen J, Shi C, Li Y, Ni H, Zeng J, Lu R, Zhang L. Effects of short-term exposure to ambient airborne pollutants on COPD-related mortality among the elderly residents of Chengdu city in Southwest China. Environ Health Prev Med 2021; 26:7. [PMID: 33435864 PMCID: PMC7805042 DOI: 10.1186/s12199-020-00925-x] [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: 09/25/2020] [Accepted: 12/20/2020] [Indexed: 11/10/2022] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) has become a severe global burden in terms of both health and the economy. Few studies, however, have thoroughly assessed the influence of air pollution on COPD-related mortality among elderly people in developing areas in the hinterland of southwestern China. This study is the first to examine the association between short-term exposure to ambient airborne pollutants and COPD-related mortality among elderly people in the central Sichuan Basin of southwestern China. Methods Data on COPD-related mortality among elderly people aged 60 and older were obtained from the Population Death Information Registration and Management System (PDIRMS). Data on airborne pollutants comprised of particulate matter < 2.5 μm in aerodynamic diameter (PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) were derived from 23 municipal environmental monitoring sites. Data on weather conditions, including daily mean temperature and relative humidity, were obtained from the Chengdu Meteorological Bureau. All data were collected from January 1, 2015, to December 31, 2018. A quasi-Poisson general additive model (GAM) was utilized to assess the effects of short-term exposure to airborne pollutants on COPD-related mortality among elderly people. Results A total of 61,058 COPD-related deaths of people aged 60 and older were obtained. Controlling the influences of daily temperature and relative humidity, interquartile range (IQR) concentration increases of PM2.5 (43 μg/m3), SO2 (8 μg/m3), NO2 (18 μg/m3), CO (0.4 mg/m3), and O3 (78 μg/m3) were associated with 2.7% (95% CI 1.0–4.4%), 4.3% (95% CI 2.1–6.4%), 3.6% (95% CI 1.7–5.6%), 2.7% (95% CI 0.6–4.8%), and 7.4% (95% CI 3.6–11.3%) increases in COPD-related mortality in people aged 60 and older, respectively. The exposure-response curves between each pollutant and the log-relative risk of COPD-related mortality exhibited linear relationships. Statistically significant differences in the associations between pollutants and COPD-related mortality were not observed among sociodemographic factors including age, gender, and marital status. The effects of O3 remained steady after adjusting for PM2.5, SO2, NO2, and CO each time in the two-pollutant models. Conclusions Increased concentrations of ambient airborne pollutants composed of PM2.5, SO2, NO2, O3, and CO were significantly and positively associated with COPD-related mortality in the central Sichuan Basin, which is located in the hinterland of southwestern China. The adverse effects of O3 were stable, a finding that should receive more attention. Supplementary Information The online version contains supplementary material available at 10.1186/s12199-020-00925-x.
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Affiliation(s)
- Jianyu Chen
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, People's Republic of China.
| | - Chunli Shi
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, People's Republic of China
| | - Yang Li
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, People's Republic of China
| | - Hongzhen Ni
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, People's Republic of China
| | - Jie Zeng
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, People's Republic of China
| | - Rong Lu
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, People's Republic of China
| | - Li Zhang
- Sichuan Provincial Center for Disease Control and Prevention, No.6, Zhongxue Road, Wuhou District, Chengdu, 610041, People's Republic of China.
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Duan RR, Hao K, Yang T. Air pollution and chronic obstructive pulmonary disease. Chronic Dis Transl Med 2020; 6:260-269. [PMID: 33336171 PMCID: PMC7729117 DOI: 10.1016/j.cdtm.2020.05.004] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Indexed: 01/01/2023] Open
Abstract
There is considerable epidemiological evidence indicating that air pollution has adverse effects on human health and is closely related to respiratory diseases, including chronic obstructive pulmonary disease (COPD). These effects, which can be divided into short- and long-term effects, can manifest as an exacerbation of existing symptoms, impaired lung function, and increased hospitalization and mortality rates. Long-term exposure to air with a high concentration of pollutants may also increase the incidence of COPD. The combined effects of different pollutants may become more complex in the future; hence, there is a need for more intensive research on specific at-risk populations, and formulating corresponding protective strategies is crucial. We aimed to review the epidemiological evidence on the effect of air pollution on COPD, the possible pathophysiological mechanisms underlying this effect, as well as protective measures against the effects of air pollutants in patients with COPD.
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Affiliation(s)
- Rui-Rui Duan
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China.,Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China.,National Clinical Research Center for Respiratory Diseases, Beijing 100029, China.,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Ting Yang
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China.,Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China.,National Clinical Research Center for Respiratory Diseases, Beijing 100029, China.,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
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