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Nakhjirgan P, Kashani H, Kermani M. Exposure to outdoor particulate matter and risk of respiratory diseases: a systematic review and meta-analysis. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 46:20. [PMID: 38153542 DOI: 10.1007/s10653-023-01807-1] [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: 08/11/2023] [Accepted: 11/22/2023] [Indexed: 12/29/2023]
Abstract
According to epidemiological studies, particulate matter (PM) is an important air pollutant that poses a significant threat to human health. The relationship between particulate matter and respiratory diseases has been the subject of numerous studies, but these studies have produced inconsistent findings. The purpose of this systematic review was to examine the connection between outdoor particulate matter (PM2.5 and PM10) exposure and respiratory disorders (COPD, lung cancer, LRIs, and COVID-19). For this purpose, we conducted a literature search between 2012 and 2022 in PubMed, Web of Science, and Scopus. Out of the 58 studies that were part of the systematic review, meta-analyses were conducted on 53 of them. A random effect model was applied separately for each category of study design to assess the pooled association between exposure to PM2.5 and PM10 and respiratory diseases. Based on time-series and cohort studies, which are the priorities of the strength of evidence, a significant relationship between the risk of respiratory diseases (COPD, lung cancer, and COVID-19) was observed (COPD: pooled HR = 1.032, 95% CI: 1.004-1.061; lung cancer: pooled HR = 1.017, 95% CI: 1.015-1.020; and COVID-19: pooled RR = 1.004, 95% CI: 1.002-1.006 per 1 μg/m3 increase in PM2.5). Also, a significant relationship was observed between PM10 and respiratory diseases (COPD, LRIs, and COVID-19) based on time-series and cohort studies. Although the number of studies in this field is limited, which requires more investigations, it can be concluded that outdoor particulate matter can increase the risk of respiratory diseases.
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Affiliation(s)
- Pegah Nakhjirgan
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Homa Kashani
- Department of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Majid Kermani
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran.
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Chou CH, Chen YF, Peng HC, Chen CY, Cheng BW. Environmental pollutants increase the risks of acute exacerbation in patients with chronic airway disease. Front Public Health 2023; 11:1215224. [PMID: 38026400 PMCID: PMC10643209 DOI: 10.3389/fpubh.2023.1215224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 10/11/2023] [Indexed: 12/01/2023] Open
Abstract
Objective Respiratory infections are a common cause of acute exacerbations in patients with chronic airway disease, however, environmental factors such as air pollution can also contribute to these exacerbations. The study aimed to determine the correlation between pollutant levels and exacerbation risks in areas exposed to environmental pollution sources. Methods From 2015 to 2016, a total of 788 patients with chronic airway diseases were enrolled in a study. Their medical records, including hospital visits due to acute exacerbations of varying severity were analyzed. Additionally, data on daily pollutant levels from the Air Quality Monitoring Network from 2014 to 2016 was also collected and analyzed. Results Patients with chronic airway disease and poor lung function (FEV1 < 50% or obstructive ventilatory defect) have a higher risk of severe acute exacerbations and are more likely to experience more than two severe acute exacerbations within a year. The study found that in areas exposed to environmental pollution sources, there is a significant correlation between NO2, O3, and humidity with the main causes of severe acute exacerbation. When the levels of NO2 were higher than 16.65 ppb, O3 higher than 35.65 ppb, or humidity higher than 76.95%, the risk of severe acute exacerbation in patients with chronic airway disease increased. Conclusion Acute exacerbations of chronic airway disease can be triggered by both the underlying disease state and the presence of air pollution. Computer simulations and early warning systems should be developed to predict acute exacerbations of chronic airway disease based on dynamic changes in air pollution.
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Affiliation(s)
- Chien-Hong Chou
- Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yen-Fu Chen
- Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hung-Chueh Peng
- Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
| | - Chung-Yu Chen
- Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Bor-Wen Cheng
- Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yunlin, Taiwan
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Ma Y, Zhao H, Su Y. Ozone Pollution and Acute Exacerbation of Asthma in Residents of China: An Ecological Study. J Asthma Allergy 2023; 16:951-960. [PMID: 37700876 PMCID: PMC10493139 DOI: 10.2147/jaa.s422476] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/17/2023] [Indexed: 09/14/2023] Open
Abstract
Purpose The evidence for a causal relationship between high-level ozone (O3) exposure and acute exacerbation of asthma among adults is limited, and the conclusions are less definitive. Patients and methods Here we collected the daily data on asthma cases, O3 exposure, and meteorological factors from 2010 to 2016 in Shijiazhuang, China. We investigated the risk of asthma exacerbation associated with high-level ozone exposure using a polynomial distributed lag model (PDLM). Using a generalized additive model (GAM), we estimated the interactive effects between O3 and other pollutants as well as meteorological factors on asthma exacerbation. Results A total of 7270 patients with asthma were enrolled from 22 governmental hospitals in 13 counties. Each 10 μg/m3 increase in O3 concentration on the exacerbation of asthma was associated with a 1.92% (95% CI = 0.80-3.03%) higher risk of asthma exacerbation on day lag 7. The cumulative risk of O3 on asthma exacerbation increased by 18.9% (95% CI = 12.8-25.4%) on the 14th day. High consecutive levels of O3 increase the risk of asthma exacerbation, and the interactive effect of O3 and sulfur dioxide (SO2) appears before the exacerbation onset. Conclusion These findings suggested that O3 should be an important risk factor for asthma exacerbation, and health benefits in reducing asthma exacerbation risk would be gained with continued efforts to improve the air quality in China.
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Affiliation(s)
- Yunlei Ma
- Department of Respiratory Medicine, Traditional Chinese Medicine Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
| | - Hanjun Zhao
- Department of Respiratory Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Yinghao Su
- Department of Respiratory Medicine, Traditional Chinese Medicine Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
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Liu Y, Li D, Ren M, Qu F, He Y. Effect of high-level PM 2.5 on survival in lung cancer: a multicenter cohort study from Hebei Province, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-28147-y. [PMID: 37318733 DOI: 10.1007/s11356-023-28147-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 06/02/2023] [Indexed: 06/16/2023]
Abstract
Globally, air pollution is the fourth leading risk factor for death, while lung cancer (LC) is the leading cause of cancer-related death. The aim of this study was to explore the prognostic factors of LC and the influence of high fine particulate matter (PM2.5) on LC survival. Data on LC patients were collected from 133 hospitals across 11 cities in Hebei Province from 2010 to 2015, and survival status was followed up until 2019. The personal PM2.5 exposure concentration (μg/m3) was matched according to the patient's registered address, calculated from a 5-year average for every patient, and stratified into quartiles. The Kaplan-Meier method was used to estimate overall survival (OS), and Cox's proportional hazard regression model was used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The 1-, 3-, and 5-year OS rates of the 6429 patients were 62.9%, 33.2%, and 15.2%, respectively. Advanced age (75 years or older: HR = 2.34, 95% CI: 1.25-4.38), subsite at overlapping (HR = 4.35, 95% CI: 1.70-11.1), poor/undifferentiated differentiation (HR = 1.71, 95% CI: 1.13-2.58), and advanced stages (stage III: HR = 2.53, 95% CI: 1.60-4.00; stage IV: HR = 4.00, 95% CI: 2.63-6.09) were risk factors for survival, while receiving surgical treatment was a protective factor (HR = 0.60, 95% CI: 0.44-0.83). Patients exposed to light pollution had the lowest risk of death with a 26-month median survival time. The risk of death in LC patients was greatest at PM2.5 concentrations of 98.7-108.9 μg/m3, especially for patients at advanced stage (HR = 1.43, 95% CI: 1.29-1.60). Our study indicates that the survival of LC is severely affected by relatively high levels of PM2.5 pollution, especially in those with advanced-stage cancer.
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Affiliation(s)
- Yanyu Liu
- Department of Cancer Prevention and Control, The Fourth Hospital of Hebei Medical University/Hebei Cancer Institute, Shijiazhuang, 050011, Hebei, China
| | - Daojuan Li
- Department of Cancer Prevention and Control, The Fourth Hospital of Hebei Medical University/Hebei Cancer Institute, Shijiazhuang, 050011, Hebei, China
| | - Meng Ren
- Department of Cancer Prevention and Control, The Fourth Hospital of Hebei Medical University/Hebei Cancer Institute, Shijiazhuang, 050011, Hebei, China
| | - Feng Qu
- Department of Cancer Prevention and Control, The Fourth Hospital of Hebei Medical University/Hebei Cancer Institute, Shijiazhuang, 050011, Hebei, China
| | - Yutong He
- Department of Cancer Prevention and Control, The Fourth Hospital of Hebei Medical University/Hebei Cancer Institute, Shijiazhuang, 050011, Hebei, China.
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Li Z, Lu F, Liu M, Guo M, Tao L, Wang T, Liu M, Guo X, Liu X. Short-Term Effects of Carbon Monoxide on Morbidity of Chronic Obstructive Pulmonary Disease With Comorbidities in Beijing. GEOHEALTH 2023; 7:e2022GH000734. [PMID: 36992869 PMCID: PMC10042128 DOI: 10.1029/2022gh000734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 02/26/2023] [Accepted: 03/03/2023] [Indexed: 06/19/2023]
Abstract
The association between CO and chronic obstructive pulmonary disease (COPD) has been widely reported; however, the association among patients with type 2 diabetes mellitus (T2DM) or hypertension has remained largely unknown in China. Over-dispersed generalized additive model was adopted to quantity the associations between CO and COPD with T2DM or hypertension. Based on principal diagnosis, COPD cases were identified according to the International Classification of Diseases (J44), and a history of T2DM and hypertension was coded as E12 and I10-15, O10-15, P29, respectively. A total of 459,258 COPD cases were recorded from 2014 to 2019. Each interquartile range uptick in CO at lag 03 corresponded to 0.21% (95%CI: 0.08%-0.34%), 0.39% (95%CI: 0.13%-0.65%), 0.29% (95%CI: 0.13%-0.45%) and 0.27% (95%CI: 0.12%-0.43%) increment in admissions for COPD, COPD with T2DM, COPD with hypertension and COPD with both T2DM and hypertension, respectively. The effects of CO on COPD with T2DM (Z = 0.77, P = 0.444), COPD with hypertension (Z = 0.19, P = 0.234) and COPD with T2DM and hypertension (Z = 0.61, P = 0.543) were insignificantly higher than that on COPD. Stratification analysis showed that females were more vulnerable than males except for T2DM group (COPD: Z = 3.49, P < 0.001; COPD with T2DM: Z = 0.176, P = 0.079; COPD with hypertension: Z = 2.48, P = 0.013; COPD with both T2DM and hypertension: Z = 2.44, P = 0.014); No statistically significant difference could be found between age groups (COPD: Z = 1.63, P = 0.104; COPD with T2DM: Z = 0.23, P = 0.821; COPD with hypertension: Z = 0.53, P = 0.595; COPD with both T2DM and hypertension: Z = 0.71, P = 0.476); Higher effects appeared in cold seasons than warm seasons on COPD (Z = 0.320, P < 0.001). This study demonstrated an increased risk of COPD with comorbidities related to CO exposure in Beijing. We further provided important information on lag patterns, susceptible subgroups, and sensitive seasons, as well as the characteristics of the exposure-response curves.
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Affiliation(s)
- Zhiwei Li
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
| | - Feng Lu
- Beijing Municipal Health Commission Information CentreBeijingChina
| | - Mengmeng Liu
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
- National Institute for Data Science in Health and MedicineCapital Medical UniversityBeijingChina
| | - Moning Guo
- Beijing Municipal Health Commission Information CentreBeijingChina
| | - Lixin Tao
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
| | - Tianqi Wang
- Beijing Municipal Health Commission Information CentreBeijingChina
| | - Mengyang Liu
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
- School of Public HealthHebei Medical UniversityShijiazhuangChina
| | - Xiuhua Guo
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
- National Institute for Data Science in Health and MedicineCapital Medical UniversityBeijingChina
- Centre for Precision HealthSchool of Medical and Health SciencesEdith Cowan UniversityWAJoondalupAustralia
| | - Xiangtong Liu
- School of Public HealthCapital Medical UniversityBeijingChina
- Beijing Municipal Key Laboratory of Clinical EpidemiologyBeijingChina
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Zhang C, Hu Y, Adams MD, Liu M, Li B, Shi T, Li C. Natural and human factors influencing urban particulate matter concentrations in central heating areas with long-term wearable monitoring devices. ENVIRONMENTAL RESEARCH 2022; 215:114393. [PMID: 36150440 DOI: 10.1016/j.envres.2022.114393] [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: 06/25/2022] [Revised: 09/16/2022] [Accepted: 09/18/2022] [Indexed: 06/16/2023]
Abstract
In northern China, central heating, as an important source of urban particulate matter (UPM), causes more than half of the air pollution during the heating season and has significant spatial-temporal heterogeneity. Owing to the limitations of stationary air monitoring networks, few studies distinguish between heating/non-heating seasons and few have been conducted in urban areas. However, fixed monitoring cannot accurately capture the dynamic exposure of residents to UPM, and there is a lack of comprehensive evaluation of the factors affecting UPM. Therefore, this study used wearable Sniffer 4D equipment to monitor the concentrations of UPM (PM1, PM2.5, and PM10) in selected typical areas of Shenyang City from March 2019 to February 2020. A random forest model was combined with land use and point-of-interest data to analyze the contributions and marginal effects of multiple influences on UPM, in both heating and non-heating seasons. The results showed that in the eastern part of the study area, UPM showed completely opposite spatial distribution characteristics during the two seasons. The concentrations of UPM were higher during the heating season than during the non-heating season. The results indicated that temperature and humidity were important factors in diffusing UPM. The production and operation of boilers were important for the production of UPM. In two-dimensional landscape pattern indices, the percentage of forest and Shannon diversity index were the first and second most important factors, respectively. The three-dimensional pattern of buildings had important effects on the transport and diffusion of UPM (landscape height range >100, floor area ratio >1.3, and landscape volume density >5). Wearable devices could monitor the real situation of residents' exposure to UPM and quantify the factors influencing the spatial-temporal distribution of UPM in an ecological sense. These results provide a scientific basis for urban planning and for health risk reduction for residents.
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Affiliation(s)
- Chuyi Zhang
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, No. 72, Wenhua Road, Shenyang, 110016, China; College of Resources and Environment, University of Chinese Academy of Sciences, No. 19, Yuquan Road, Beijing, 100049, China; Department of Geography & Planning, University of Toronto, 3359 Mississauga Road, Mississauga, ON, L5L 1C6, Canada
| | - Yuanman Hu
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, No. 72, Wenhua Road, Shenyang, 110016, China
| | - Matthew D Adams
- Department of Geography & Planning, University of Toronto, 3359 Mississauga Road, Mississauga, ON, L5L 1C6, Canada
| | - Miao Liu
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, No. 72, Wenhua Road, Shenyang, 110016, China
| | - Binglun Li
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, No. 72, Wenhua Road, Shenyang, 110016, China
| | - Tuo Shi
- College of Life Science, Shenyang Normal University, No. 253 Huanghe North Street, Shenyang, 110034, China
| | - Chunlin Li
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, No. 72, Wenhua Road, Shenyang, 110016, China.
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Effect of high-level fine particulate matter and its interaction with meteorological factors on AECOPD in Shijiazhuang, China. Sci Rep 2022; 12:8711. [PMID: 35610290 PMCID: PMC9130147 DOI: 10.1038/s41598-022-12791-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/16/2022] [Indexed: 11/15/2022] Open
Abstract
Epidemiological evidence of the effect of high-level air pollution and its interaction with meteorological factors on the risk of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is limited. Daily data on AECOPD cases, air pollutants and meteorological factors were collected from 2015 to 2018 in Shijiazhuang. A distributed lag non-linear model (DLNM) was used to explore the lag and cumulative effect of PM2.5 on the risk of AECOPD. The effect of the interaction between PM2.5 and meteorological factors on AECOPD was estimated by a generalized additive model (GAM) and a stratification model. A total of 4766 patients with AECOPD were enrolled. After controlling for confounders, each 10 μg/m3 increase in PM2.5 led to a 5.8% increase in the risk of AECOPD on day lag 0. The cumulative effect of PM2.5 on AECOPD risk showed an increasing trend after 3 days. Similar results were observed in both smoking and non-smoking patients. There was an interaction between PM2.5 and meteorological factors, and the risk of AECOPD was higher in cold and lower humidity conditions than in other conditions. High-level PM2.5 exposure is positively associated with the risk of AECOPD onset, and the effect of PM2.5 can be modified by the temperature and relative humidity. Public health guidelines should pay close attention to AECOPD risk under the condition of high-level PM2.5 with low temperature or low humidity.
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Wu M, Xu B. Bone Marrow Mesenchymal Stem Cell Transplantation in Combination with Nasal Continuous Positive Airway Pressure Improves Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD). J BIOMATER TISS ENG 2022. [DOI: 10.1166/jbt.2022.2925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
We aimed to explore the efficacy of bone marrow mesenchymal stem cell (BMSC) transplantation combined with nasal continuous positive airway pressure (nCPAP) for treating severe acute exacerbation of chronic obstructive pulmonary disease (AECOPD). SD rat AECOPD model was established
by injecting endotoxin and Staphylococcus aureus and then treated with nCPAP, BMSCs, or nCPAP combined with BMSCs (n = 20) and their conditions were evaluated with BBB score at 1 d, 3 d, 7 d, 14 d, 28 d after treatment along with analysis of apoptosis and BrdU-positive cells
as well as NF200 expression by TUNEL kit staining and levels of Th1, Th7 and Th12 before and after treatment. As revealed by BBB score and HE staining, all treatments significantly alleviated the symptom of severe APEOPD (p < 0.05), while compared with nCPAP, the combined treatment
exhibited higher efficacy. Besides, upon treatment, apoptosis and level of Th1, Th7 and Th12 was reduced but N200 absorbance value was elevated, with significant difference in combination group (p < 0.05). In conclusion, BMSC transplantation in combination with nCPAP alleviates severe
AECOPD by reducing cell apoptosis, repairing cell damage, and regulating T-cell subsets.
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Affiliation(s)
- Minna Wu
- Department of Emergency Medicine, Hangshi Central Hospital, Edong Healthcare, Huangshi, Hubei, 435000, China
| | - Bo Xu
- Department of Emergency Medicine, Hangshi Central Hospital, Edong Healthcare, Huangshi, Hubei, 435000, China
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Guo B, Zhang D, Pei L, Su Y, Wang X, Bian Y, Zhang D, Yao W, Zhou Z, Guo L. Estimating PM 2.5 concentrations via random forest method using satellite, auxiliary, and ground-level station dataset at multiple temporal scales across China in 2017. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 778:146288. [PMID: 33714834 DOI: 10.1016/j.scitotenv.2021.146288] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/15/2021] [Accepted: 03/01/2021] [Indexed: 06/12/2023]
Abstract
Fine particulate matter with aerodynamic diameters less than 2.5 μm (PM2.5) poses adverse impacts on public health and the environment. It is still a great challenge to estimate high-resolution PM2.5 concentrations at moderate scales. The current study calibrated PM2.5 concentrations at a 1 km resolution scale using ground-level monitoring data, Aerosol Optical Depth (AOD), meteorological data, and auxiliary data via Random Forest (RF) model across China in 2017. The three ten-folded cross-validations (CV) methods including sample-based, time-based, and spatial-based validation combined with Coefficient Square (R2), Root-Mean-Square Error (RMSE), and Mean Predictive Error (MPE) have been used for validation at different temporal scales in terms of daily, monthly, heating seasonal, and non-heating seasonal. Finally, the distribution map of PM2.5 concentrations was illustrated based on the RF model. Some findings were achieved. The RF model performed well, with a relatively high sample-based cross-validation R2 of 0.74, a low RMSE of 16.29 μg × m-3, and a small MPE of -0.282 μg × m-3. Meanwhile, the performance of the RF model in inferring the PM2.5 concentrations was well at urban scales except for Chengyu (CY). North China, the CY urban agglomeration, and the northwest of China exhibited relatively high PM2.5 pollution features, especially in the heating season. The robustness of the RF model in the present study outperformed most statistical regression models for calibrating PM2.5 concentrations. The outcomes can supply an up-to-date scientific dataset for epidemiological and air pollutants exposure risk studies across China.
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Affiliation(s)
- Bin Guo
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, China.
| | - Dingming Zhang
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, China
| | - Lin Pei
- School of Public Health, Xi'an Jiaotong University, Xi'an, China.
| | - Yi Su
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, China
| | - Xiaoxia Wang
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, China
| | - Yi Bian
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, China
| | - Donghai Zhang
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, China
| | - Wanqiang Yao
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, China.
| | - Zixiang Zhou
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, China
| | - Liyu Guo
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, China
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Zhang K, Wang H, He W, Chen G, Lu P, Xu R, Yu P, Ye T, Guo S, Li S, Xie Y, Hao Z, Wang H, Guo Y. The association between ambient air pollution and blood lipids: A longitudinal study in Shijiazhuang, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 752:141648. [PMID: 32889259 DOI: 10.1016/j.scitotenv.2020.141648] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 07/20/2020] [Accepted: 08/10/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Few studies have explored the associations between ambient air pollution and blood lipid levels. This study aimed to fill this knowledge gap based on a routine health examination cohort in Shijiazhuang, China. METHODS We included 7063 participants who took the routine health examination for 2-3 times at Hebei General Hospital from January 2016 to December 2018. Individual serum levels of cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were measured. Their three-month average exposure to air pollution prior to the routine health examinations was estimated using inverse distance weighted method. We used linear mixed-effects regression models to examine the associations between air pollution and levels of blood lipids while controlling for age, gender, body mass index (BMI), smoking, alcohol drinking, temperature, humidity, with a random effect for each individual. RESULTS Particles with diameters ≤2.5 μm and ≤10 μm (PM2.5 and PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2) and ozone (O3) were all positively associated with TC, TG, and LDL-C and negatively associated with HDL-C, in single pollutant models. Each 10 μg/m3 increment of 3-month average PM2.5 was associated with 0.65% [95% confidence interval (CI): 0.03%-1.28%], 0.56% (95%CI: 0.33%-0.79%) and 0.63% (95%CI: 0.35%-0.91%) increment in TG, TC, and LDL-C, and 0.91% (95%CI: 0.68%-1.13%) decrease in HDL-C. In two-pollutant models, the effects of gaseous pollutants on blood lipids were weakened, while those of PMs were strengthened. Stronger associations were presented in the elderly (≥60 years) and overweight/obese (BMI ≥ 24) participants. CONCLUSIONS Ambient air pollution had significantly adverse effects on blood lipid levels, especially in overweight/obese and elderly individuals. CAPSULE Significant associations between increased air pollution and worse blood lipid levels were found, especially in overweight/obese and elderly individuals.
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Affiliation(s)
- Kaihua Zhang
- Hebei Medical University, Shijiazhuang, Hebei, China; Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Haoyuan Wang
- Hebei Medical University, Shijiazhuang, Hebei, China
| | - Weiliang He
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Gongbo Chen
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Peng Lu
- Department of Epidemiology, School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Rongbin Xu
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Pei Yu
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Tingting Ye
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Suying Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yinyu Xie
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Zhihua Hao
- Physical Examination Center of Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Hebo Wang
- Hebei Medical University, Shijiazhuang, Hebei, China; Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, China.
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
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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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12
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Chen S, Li D, Wu X, Chen L, Zhang B, Tan Y, Yu D, Niu Y, Duan H, Li Q, Chen R, Aschner M, Zheng Y, Chen W. Application of cell-based biological bioassays for health risk assessment of PM2.5 exposure in three megacities, China. ENVIRONMENT INTERNATIONAL 2020; 139:105703. [PMID: 32259755 DOI: 10.1016/j.envint.2020.105703] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Revised: 03/21/2020] [Accepted: 03/29/2020] [Indexed: 05/05/2023]
Abstract
The determination of PM2.5-induced biological response is essential for understanding the adverse health risk associated with PM2.5 exposure. In this study, we conducted cell-based bioassays to measure the toxic effects of PM2.5 exposure, including cytotoxicity, oxidative stress, genotoxicity and inflammatory response. The concentration-response relationship was analyzed by benchmark dose (BMD) modeling and the BMDL10 was used to estimate the biological potency of PM2.5 exposure. PM2.5 samples were collected from three typical megacities of China (Beijing, BJ; Wuhan, WH; Guangzhou, GZ) in typical seasons (winter and summer). The total PM, water-soluble fractions (WSF), and organic extracts (OE) were prepared and subjected to examination of toxic effects. The biological potencies for cytotoxicity, oxidative stress and genotoxicity were generally higher in winter samples, while the inflammatory potency of PM2.5 was higher in summer samples. The relative health risk (RHR) was determined by integration of the biological potencies and the cumulative exposure level, and the ranks of RHR were BJ-W > WH-W > BJ-S > WH-S > GZ-W > GZ-S. Notably, we note that different PM2.5 compositions were associated with distinct biological effects, and the health effects distribution of PM2.5 varied in regions and seasons. These findings demonstrate that the approach of integrated cell-based bioassays could be used for the evaluation of health effects of PM2.5 exposure.
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Affiliation(s)
- Shen Chen
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Daochuan Li
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiaonen Wu
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Liping Chen
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Bin Zhang
- Wuhan Children's Hospital & Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430015, China
| | - Yafei Tan
- Wuhan Children's Hospital & Wuhan Maternal and Child Healthcare Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430015, China
| | - Dianke Yu
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao 266021, China
| | - Yong Niu
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Huawei Duan
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Qiong Li
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Rui Chen
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Forchheimer 209, 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - Yuxin Zheng
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao 266021, China
| | - Wen Chen
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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