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You J, Liu Y, Dong J, Wang J, Bao H. Ambient carbon monoxide and the risk of cardiovascular disease emergency room visits: a time-series study in Lanzhou, China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:7621-7636. [PMID: 37395909 DOI: 10.1007/s10653-023-01653-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 06/07/2023] [Indexed: 07/04/2023]
Abstract
Until now, the epidemiological evidence on the association between short-term exposure to ambient carbon monoxide (CO) and cardiovascular diseases (CVDs) is relatively lacking and controversial. This study aims to examine the relationship between ambient CO and daily emergency room visits (ERVs) for total and cause-specific CVD in Lanzhou, China. A distributed lag nonlinear model was used to examine the association. For every 1 mg/m3 increase in the CO concentration, the relative risks of daily ERVs were 1.041 (95% CI: 1.017, 1.065) for total CVD, 1.065 (95% CI: 1.018, 1.114) for ischemic heart disease (IHD), 1.083 (95% CI: 1.020, 1.149) for heart rhythm disturbances (HRD), 1.062 (95% CI: 1.011, 1.115) for heart failure (HF), and 1.057 (95% CI: 1.017, 1.098) for cerebrovascular diseases (CD). For the two different gender subgroups, the short-term impact of CO on total CVD, IHD, and CD was relatively stronger for the females than for the males, while the opposite was true for HRD and HF. In the age subgroup analyses, the effect of ambient CO on total CVD and IHD appeared to be greater for the age ≥ 65 years group, while the opposite was true for HRD, HF, and CD. The associations for all disease categories were stronger in cold seasons than in warm seasons. We also observed a nearly linear correlation between CO and CVD ERVs. In conclusion, the study showed that exposure to ambient CO may increase the risks of ERVs for total and cause-specific CVD. Besides, CO-ERVs associations may vary by gender and age.
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Affiliation(s)
- Jianhua You
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Yaocong Liu
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Jiyuan Dong
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China.
| | - Jiancheng Wang
- Gansu Provincial Hospital, Lanzhou, 730050, People's Republic of China
| | - Hairong Bao
- Department of Gerontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou, 730000, China
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Jia Y, Lin Z, He Z, Li C, Zhang Y, Wang J, Liu F, Li J, Huang K, Cao J, Gong X, Lu X, Chen S. Effect of Air Pollution on Heart Failure: Systematic Review and Meta-Analysis. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:76001. [PMID: 37399145 PMCID: PMC10317211 DOI: 10.1289/ehp11506] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 02/15/2023] [Accepted: 06/06/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Heart failure (HF) poses a significant global disease burden. The current evidence on the impact of air pollution on HF remains inconsistent. OBJECTIVES We aimed to conduct a systematic review of the literature and meta-analysis to provide a more comprehensive and multiperspective assessment of the associations between short- and long-term air pollution exposure and HF from epidemiological evidences. METHODS Three databases were searched up to 31 August 2022 for studies investigating the association between air pollutants (PM 2.5 , PM 10 , NO 2 , SO 2 , CO, O 3 ) and HF hospitalization, incidence, or mortality. A random effects model was used to derive the risk estimations. Subgroup analysis was conducted by geographical location, age of participants, outcome, study design, covered area, the methods of exposure assessment, and the length of exposure window. Sensitivity analysis and adjustment for publication bias were performed to test the robustness of the results. RESULTS Of 100 studies covering 20 countries worldwide, 81 were for short-term and 19 were for long-term exposure. Almost all air pollutants were adversely associated with the risk of HF in both short- and long-term exposure studies. For short-term exposures, we found the risk of HF increased by 1.8% [relative risk ( RR ) = 1.018 , 95% confidence interval (CI): 1.011, 1.025] and 1.6% (RR = 1.016 , 95% CI: 1.011, 1.020) per 10 - μ g / m 3 increment of PM 2.5 and PM 10 , respectively. HF was also significantly associated with NO 2 , SO 2 , and CO, but not O 3 . Positive associations were stronger when exposure was considered over the previous 2 d (lag 0-1) rather than on the day of exposure only (lag 0). For long-term exposures, there were significant associations between several air pollutants and HF with RR (95% CI) of 1.748 (1.112, 2.747) per 10 - μ g / m 3 increment in PM 2.5 , 1.212 (1.010, 1.454) per 10 - μ g / m 3 increment in PM 10 , and 1.204 (1.069, 1.356) per 10 -ppb increment in NO 2 , respectively. The adverse associations of most pollutants with HF were greater in low- and middle-income countries than in high-income countries. Sensitivity analysis demonstrated the robustness of our results. DISCUSSION Available evidence highlighted adverse associations between air pollution and HF regardless of short- and long-term exposure. Air pollution is still a prevalent public health issue globally and sustained policies and actions are called for to reduce the burden of HF. https://doi.org/10.1289/EHP11506.
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Affiliation(s)
- Yanhui Jia
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhennan Lin
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhi He
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Chenyang Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Youjing Zhang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jingyu Wang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Xinyuan Gong
- Department of Science and Education, Tianjin First Central Hospital, Tianjin, China
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
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Shen J, Ma Y, Zhang Y, Zhang C, Wang W, Qin P, Yang L. Temperature modifies the effects of air pollutants on respiratory diseases. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:61778-61788. [PMID: 36933135 DOI: 10.1007/s11356-023-26322-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 03/03/2023] [Indexed: 05/10/2023]
Abstract
Increasing studies have reported temperature modification effects on air pollutants-induced respiratory diseases. In the current study, daily data of respiratory emergency room visits (ERVs), meteorological factors, and concentrations of air pollutants were collected from 2013 to 2016 in Lanzhou, a northwest city in China. Daily average temperature was stratified into low (≤ 25 percentile, P25), medium (25-75 percentile, P25-P75) and high (≥ 75 percentile, P75) to explore how temperature modifies the effects of air pollutants (PM2.5, PM10, SO2, and NO2) on respiratory ERVs by using generalized additive Poisson regression model (GAM). Seasonal modification was also investigated. Results showed that (a) PM10, PM2.5, and NO2 had the strongest effects on respiratory ERVs in low temperature; (b) males and 15-and-younger were more vulnerable in low temperature while females and those older than 46 years were highly affected in high temperature; (c) PM10, PM2.5, and NO2 were mostly associated with the total and both males and females in winter, while SO2 resulted in the highest risk for the total and males in autumn and females in spring. In conclusion, this study found significant temperature modification effects and seasonal differences on the risks of respiratory ERVs due to air pollutants in Lanzhou, China.
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Affiliation(s)
- Jiahui Shen
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Caixia Zhang
- First People's Hospital of Dingxi, Dingxi, 743000, China.
| | - Wanci Wang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Pengpeng Qin
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Lijie Yang
- Qingyang Meteorological Bureau, Qingyang, 745000, China
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Gao Y, Sheng W, Yang Y. Air pollution and coronary heart disease-related hospital visits in Beijing, China: time-series analysis using a generalized additive model. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:36938-36951. [PMID: 36562963 PMCID: PMC9780628 DOI: 10.1007/s11356-022-24803-x] [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: 07/28/2022] [Accepted: 12/13/2022] [Indexed: 06/17/2023]
Abstract
To investigate correlations between environmental and meteorological factors and frequency of presentation for coronary heart disease (CHD) in Beijing. Daily measurements of levels of six atmospheric pollutants were made, data relating to meteorological conditions collected, and CHD-related outpatient visits recorded from January 2015 to December 2019 in Beijing. A time-series analysis was made, using a generalized additive model with Poisson distribution, and R 3.6.3 software was used to estimate relationships among levels of atmospheric pollutants, ambient temperature, and visits occasioned by CHD. Results were controlled for time-dependent trend, other weather variables, day of the week, and holiday effects. Lag-response curves were plotted for specific and incremental cumulative effects of relative risk (RR). The aim was to correlate meteorological-environmental factors and the daily number of CHD-related hospital visits and to quantify the degree of correlation to identify any pathological associations. Response diagrams and three-dimensional diagrams of predicted exposure lag effects were constructed in order to evaluate relationships among the parameters of air pollution, temperature, and daily CHD visits. The fitted model was employed to predict the lag RR and 95% confidence interval (95% CI) for specific and incremental cumulative effects of random air pollutants at random concentrations. This model may then be used to predict effects on the outcome variable at any concentration of any defined pollutant, giving flexibility for public health purposes. The overall lag-response RR curves for the specific cumulative effects of the pollutants, particulate matter (PM)2.5, PM10, SO2, CO, and NO2, were statistically significant and for PM2.5, PM10, CO, and NO2, the overall lag-response RR curves for the incremental cumulative effect were statistically significant. When PM2.5, PM10, SO2, CO, and NO2 concentrations were above threshold values and the temperature was below 45 °F (reference value 70 °F), the number of CHD-related hospital visits increased with a time lag effect. The outpatient volume of CHD was predicted by the model to guide the flexible distribution of medical resources. Elevated PM2.5, PM10, SO2, CO, and NO2 concentrations in the atmosphere combined and low ambient temperature increased the risk of CHD with a time lag effect.
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Affiliation(s)
- Yuan Gao
- Department of Anesthesiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China
| | - Weixuan Sheng
- Department of Anesthesiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China
| | - Yongtao Yang
- Department of Blood Transfusion, Beijing Huaxin Hospital, the First Affiliated Hospital of Tsinghua Uinversity, Beijing, 100016 China
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5
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Yang YS, Pei YH, Gu YY, Zhu JF, Yu P, Chen XH. Association between short-term exposure to ambient air pollution and heart failure: An updated systematic review and meta-analysis of more than 7 million participants. Front Public Health 2023; 10:948765. [PMID: 36755739 PMCID: PMC9900180 DOI: 10.3389/fpubh.2022.948765] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 12/29/2022] [Indexed: 01/24/2023] Open
Abstract
Introduction Exposure to air pollution has been linked to the mortality of heart failure. In this study, we sought to update the existing systematic review and meta-analysis, published in 2013, to further assess the association between air pollution and acute decompensated heart failure, including hospitalization and heart failure mortality. Methods PubMed, Web of Science, EMBASE, and OVID databases were systematically searched till April 2022. We enrolled the studies regarding air pollution exposure and heart failure and extracted the original data to combine and obtain an overall risk estimate for each pollutant. Results We analyzed 51 studies and 7,555,442 patients. Our results indicated that heart failure hospitalization or death was associated with increases in carbon monoxide (3.46% per 1 part per million; 95% CI 1.0233-1.046, P < 0.001), sulfur dioxide (2.20% per 10 parts per billion; 95% CI 1.0106-1.0335, P < 0.001), nitrogen dioxide (2.07% per 10 parts per billion; 95% CI 1.0106-1.0335, P < 0.001), and ozone (0.95% per 10 parts per billion; 95% CI 1.0024-1.0166, P < 0.001) concentrations. Increases in particulate matter concentration were related to heart failure hospitalization or death (PM2.5 1.29% per 10 μg/m3, 95% CI 1.0093-1.0165, P < 0.001; PM10 1.30% per 10 μg/m3, 95% CI 1.0102-1.0157, P < 0.001). Conclusion The increase in the concentration of all pollutants, including gases (carbon monoxide, sulfur dioxide, nitrogen dioxide, ozone) and particulate matter [(PM2.5), (PM10)], is positively correlated with hospitalization rates and mortality of heart failure. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42021256241.
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Affiliation(s)
- Yu-shan Yang
- First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China,Department of Cardiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Ying-hao Pei
- Department of Intensive Care Unit, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yuan-yuan Gu
- First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China,Department of Cardiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Jun-feng Zhu
- First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China,Department of Cardiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Peng Yu
- Department of Cardiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,*Correspondence: Peng Yu ✉
| | - Xiao-hu Chen
- Department of Cardiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,Xiao-hu Chen ✉
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Chaulin AM, Sergeev AK. The Role of Fine Particles (PM 2.5) in the Genesis of Atherosclerosis and Myocardial Damage: Emphasis on Clinical and Epidemiological Data, and Pathophysiological Mechanisms. Cardiol Res 2022; 13:268-282. [PMID: 36405225 PMCID: PMC9635774 DOI: 10.14740/cr1366] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 08/05/2022] [Indexed: 09/26/2023] Open
Abstract
Due to the fact that atherosclerotic cardiovascular diseases (CVDs) dominate in the structure of morbidity, disability and mortality of the population, the study of the risk factors for the development of atherosclerotic CVDs, as well as the study of the underlying pathogenetic mechanisms thereof, is the most important area of scientific research in modern medicine. Understanding these aspects will allow to improve the set of treatment and preventive measures and activities. One of the important risk factors for the development of atherosclerosis, which has been actively studied recently, is air pollution with fine particulate matter (PM 2.5). According to clinical and epidemiological data, the level of air pollution with PM 2.5 exceeds the normative indicators in most regions of the world and is associated with subclinical markers of atherosclerosis and mortality from atherosclerotic CVDs. The aim of this article is to systematize and discuss in detail the role of PM 2.5 in the development of atherosclerosis and myocardial damage.
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Affiliation(s)
- Aleksey Michailovich Chaulin
- Department of Cardiology and Cardiovascular Surgery, Samara State Medical University, Samara 443099, Russia
- Department of Histology and Embryology, Samara State Medical University, Samara 443099, Russia
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He X, Zhai S, Liu X, Liang L, Song G, Song H, Kong Y. Interactive short-term effects of meteorological factors and air pollution on hospital admissions for cardiovascular diseases. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:68103-68117. [PMID: 35532824 DOI: 10.1007/s11356-022-20592-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 04/29/2022] [Indexed: 06/14/2023]
Abstract
A substantial number of studies have demonstrated the association between air pollution and adverse health effects. However, few studies have explored the potential interactive effects between meteorological factors and air pollution. This study attempted to evaluate the interactive effects between meteorological factors (temperature and relative humidity) and air pollution ([Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text]) on cardiovascular diseases (CVDs). Next, the high-risk population susceptible to air pollution was identified. We collected daily counts of CVD hospitalizations, air pollution, and weather data in Nanning from January 1, 2014, to December 31, 2015. Generalized additive models (GAMs) with interaction terms were adopted to estimate the interactive effects of air pollution and meteorological factors on CVD after controlling for seasonality, day of the week, and public holidays. On low-temperature days, an increase of [Formula: see text] in [Formula: see text], [Formula: see text], and [Formula: see text] was associated with increases of 4.31% (2.39%, 6.26%) at lag 2; 2.74% (1.65%, 3.84%) at lag 0-2; and 0.13% (0.02%, 0.23%) at lag 0-3 in CVD hospitalizations, respectively. During low relative humidity days, a [Formula: see text] increment of lag 0-3 exposure was associated with increases of 3.43% (4.61%, 2.67%) and 0.10% (0.04%, 0.15%) for [Formula: see text] and [Formula: see text], respectively. On high relative humidity days, an increase of [Formula: see text] in [Formula: see text] was associated with an increase of 5.86% (1.82%, 10.07%) at lag 0-2 in CVD hospitalizations. Moreover, elderly (≥ 65 years) and female patients were vulnerable to the effects of air pollution. There were interactive effects between air pollutants and meteorological factors on CVD hospitalizations. The risk that [Formula: see text], [Formula: see text], and [Formula: see text] posed to CVD hospitalizations could be significantly enhanced by low temperatures. For [Formula: see text] and [Formula: see text], CVD hospitalization risk increased in low relative humidity. The effects of [Formula: see text] were enhanced at high relative humidity.
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Affiliation(s)
- Xinxin He
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, Henan, China
| | - Shiyan Zhai
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, Henan, China.
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng, 475004, Henan, China.
| | - Xiaoxiao Liu
- Department of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Lizhong Liang
- The Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China
| | - Genxin Song
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, Henan, China
| | - Hongquan Song
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, Henan, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng, 475004, Henan, China
| | - Yunfeng Kong
- College of Geography and Environmental Science, Henan University, Kaifeng, 475004, Henan, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng, 475004, Henan, China
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Tian Y, Xiang M, Peng J, Duan Y, Wen Y, Huang S, Li L, Yu S, Cheng J, Zhang X, Wang P. Modification effects of seasonal and temperature variation on the association between exposure to nitrogen dioxide and ischemic stroke onset in Shenzhen, China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2022; 66:1747-1758. [PMID: 35750990 DOI: 10.1007/s00484-022-02315-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 05/16/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
The independent associations of extreme temperature and ambient air pollutant with the admission to hospital and mortality of ischemic stroke have been widely investigated. However, knowledge about the modification effects of variation in season and temperature on the association between exposure to nitrogen dioxide (NO2) and ischemic stroke onset is still limited. This study purposed to explore the effect of NO2 on daily ischemic stroke onset modified by season and ambient temperature, and identify the potential population that susceptible to ischemic stroke onset connected with NO2 and ambient temperature. Data on daily ischemic stroke counts, weather conditions, and ambient air pollutant concentrations in Shenzhen were collected between January 1, 2008, and December 31, 2014. The seasonal effect on the NO2-associated onset was measured by a distributed-lag linear model. Furthermore, a generalized additive model that incorporated with stratification analyses was used to calculate the interactive effects between NO2 and ambient temperature. During the winter, the average percentage increase in daily ischemic stroke onset for each 10 μg/m3 increment in NO2 concentration on lagged 2 days was 3.05% (95% CI: 1.31-4.82%), while there was no statistically significant effect of NO2 during summer. And the low-temperature days ([Formula: see text] mean temperature), with a 2.23% increase in incidence (95% CI: 1.18-3.29%) for the same concentration increase in NO2, were significant higher than high temperature days ([Formula: see text] mean temperature). The modification effects of temperature on the study association were more pronounced in individuals aged 65 years or more and in males. The adverse health effects of NO2 on ischemic stroke are more pronounced during winter or low temperature periods. Elderly adults or males presented higher risks with these exposures.
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Affiliation(s)
- Yuchen Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ming Xiang
- Department of Hospital Infection Control, Wuhan No. 1 Hospital (Wuhan Hospital of Integrated Traditional Chinese and Western Medicine), Wuhan, Hubei, China
| | - Ji Peng
- Shenzhen Center for Chronic Disease Control, 2021 Buxin Road, Shenzhen, 518020, Guangdong, China
| | - Yanran Duan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ying Wen
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Suli Huang
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Lei Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Shuyuan Yu
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China.
| | - Xia Zhang
- The First People's Hospital of Jingzhou, 40 Daqing Rd, Jingzhou, 434000, Hubei, China.
| | - Peng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Effect of Short-Term Exposure to Fine Particulate Matter and Particulate Matter Pollutants on Triggering Acute Myocardial Infarction and Acute Heart Failure. Am J Cardiol 2022; 175:158-163. [PMID: 35595553 DOI: 10.1016/j.amjcard.2022.03.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/16/2022] [Accepted: 03/18/2022] [Indexed: 11/20/2022]
Abstract
Long-term exposure to high concentrations of air pollution is known to lead to increased cardiovascular disease, but it remains unclear whether short-term exposure increases the incidence of acute myocardial infarction (AMI) and acute heart failure (AHF). A time-stratified case-crossover design was used, including data from the 2-year period (January 1, 2017 to December 31, 2018), from the National Health Insurance Academic Research Database of Taiwan. Air pollution data were obtained from the Air Quality Monitoring Station of the Environmental Protection Agency of the Executive Yuan. A generalized linear model was used for statistical analysis. In areas with a long-term moderate severity of air pollution, a 10 μg/m3 increase in fine particulate matter (PM2.5) and particulate matter (PM10) exposure in a short period of time coincided with an increase in AMI by 6.5% to 6.7% and 0.9% to 1.1%, respectively, and AHF by 6.1% to 6.4% and 0.9% to 1.0%, respectively. A long-term high severity of air pollution (PM2.5 and PM10) coincided with an increase in AMI by 7.9% to 8.8% and 4.4% to 4.9%, respectively, and AHF by 7.6% to 8.4% and 4.3% to 4.8%, respectively. In areas with a long-term moderate or high severity of air pollution, short-term exposure to high concentrations of PM2.5 and PM10 pollution is positively correlated with AMI and AHF.
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Association of Daily Exposure to Air Pollutants with the Risk of Tuberculosis in Xuhui District of Shanghai, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19106085. [PMID: 35627622 PMCID: PMC9141396 DOI: 10.3390/ijerph19106085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/05/2022] [Accepted: 05/12/2022] [Indexed: 12/17/2022]
Abstract
Previous studies have suggested that air pollutant exposure is related to tuberculosis (TB) risk, but results have not been consistent. This study evaluated the relation between daily air pollutant exposure and TB incidence in Shanghai from 2014 to 2019. Overall, there were four pollutants that were positively related to the risk of new TB cases. After a 5 μg/m3 increase, the maximum lag-specific and cumulative relative risk (RR) of SO2 were 1.081, (95% CI: 1.035–1.129, lag: 3 days) and 1.616 (95% CI: 1.119–2.333, lag: 0–13 days), while for NO2, they were 1.061 (95% CI: 1.015–1.11, lag: 4 days) and 1.8 (95% CI: 1.113–2.91, lag: 0–15 days). As for PM2.5, with a 50 μg/m3 increase, the lag-specific and cumulative RR were 1.064 (95% CI: 1–1.132, lag: 6 days) and 3.101 (95% CI: 1.096–8.777, lag: 0–21 days), while for CO, the lag-specific RR was 1.03 (95% CI: 1.005–1.057, lag: 8 days) and the cumulative RR was 1.436 (95% CI: 1.004–2.053, lag: 0–16 days) with a 100 μg/m3 increase. The associations tended to be stronger in male and elderly patients and differed with seasons. Air pollutant exposure may be a risk factor for TB incidence.
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Heo S, Son JY, Lim CC, Fong KC, Choi HM, Hernandez-Ramirez RU, Nyhan K, Dhillon PK, Kapoor S, Prabhakaran D, Spiegelman D, Bell ML. Effect modification by sex for associations of fine particulate matter (PM 2.5) with cardiovascular mortality, hospitalization, and emergency room visits: systematic review and meta-analysis. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2022; 17:053006. [PMID: 35662857 PMCID: PMC9162078 DOI: 10.1088/1748-9326/ac6cfb] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Particulate matter with aerodynamic diameter no larger than 2.5 μm (PM2.5) has been linked to cardiovascular diseases (CVDs) but evidence for vulnerability by sex remains unclear. We performed systematic review and meta-analysis to synthesize the state of scientific evidence on whether cardiovascular risks from PM2.5 differ for men compared to women. The databases Pubmed, Scopus, Embase, and GreenFILE were searched for studies published Jan. 1995 to Feb. 2020. Observational studies conducting subgroup analysis by sex for impacts of short-term or long-term exposure to PM2.5 on target CVDs were included. Data were independently extracted in duplicate and pooled with random-effects meta-regression. Risk ratios (RRs) for long-term exposure and percent changes in outcomes for short-term exposure were calculated per 10 μg/m3 PM2.5 increase. Quality of evidence of risk differences by sex was rated following Grading of Recommendations Assessment, Development and Evaluation (GRADE). A total of 12,502 articles were screened, with 61 meeting inclusion criteria. An additional 32 studies were added from citation chaining. RRs of all CVD mortality for long-term PM2.5 for men and women were the same (1.14; 95% CI: 1.09, 1.22) indicating no statistically different risks. Men and women did not have statistically different risks of daily CVD mortality, hospitalizations from all CVD, ischemic heart disease, cardiac arrest, acute myocardial infarction, and heart failure from short-term PM2.5 exposure (difference in % change in risk per 10 μg/m3 PM2.5: 0.04 (95% CI, -0.42 to 0.51); -0.05 (-0.47 to 0.38); 0.17 (-0.90, 1.24); 1.42 (-1.06, 3.97); 1.33 (-0.05, 2.73); and -0.48 (-1.94, 1.01), respectively). Analysis using GRADE found low or very low quality of evidence for sex differences for PM2.5-CVD risks. In conclusion, this meta-analysis and quality of evidence assessment of current observational studies found very limited evidence of the effect modification by sex for effects of PM2.5 on CVD outcomes in adults, which can inform clinical approaches and policies.
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Affiliation(s)
- Seulkee Heo
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Ji-Young Son
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Chris C Lim
- School of the Environment, Yale University, New Haven, CT, United States of America
- Community, Environment & Policy Department, Mel & Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States of America
| | - Kelvin C Fong
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Hayon Michelle Choi
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Raul U Hernandez-Ramirez
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | - Kate Nyhan
- Harvey Cushing / John Hay Whitney Medical Library, Yale School of Public Health, Yale University, New Haven, CT, United States of America
- Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | | | | | - Dorairaj Prabhakaran
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Donna Spiegelman
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven, CT, United States of America
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Xu Z, Shi L, Li D, Wu Q, Zhang Y, Gao M, Ji A, Jiang Q, Chen R, Zhang R, Chen W, Zheng Y, Cui L. Real ambient particulate matter-induced lipid metabolism disorder: Roles of peroxisome proliferators-activated receptor alpha. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 231:113173. [PMID: 35007830 DOI: 10.1016/j.ecoenv.2022.113173] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 06/14/2023]
Abstract
A growing body of evidence associated particulate matter (PM) exposure with lipid metabolism disorders, yet, the underlying mechanism remains to be elucidated. Among the major lipid metabolism modulators, peroxisome proliferator-activated receptor (PPAR) alpha plays an important role. In the current study, an individually ventilated cage (IVC) system was used to expose C57/B6 mice to real-ambient PM for six weeks, with or without co-treatment of PPAR alpha agonist WY14,643. The general parameters, liver and adipose tissue pathology, serum lipids, metal deposition and lipid profile of liver were assessed. The results indicated that six weeks of real-ambient PM exposure induced dyslipidemia, including increased serum triglycerides (TG) and decreased high density lipoprotein cholesterol (HDL-C) level, along with steatosis in liver, increased size of adipocytes in white adipose tissue (WAT) and whitening of brown adipose tissue (BAT). ICP-MS results indicated increased Cr and As deposition in liver. Lipidomics analysis revealed that glycerophospholipids and cytochrome P450 pathway were most significantly affected by PM exposure. Several lipid metabolism-related genes, including CYP4A14 in liver and UCP1 in BAT were downregulated following PM exposure. WY14,643 treatment alleviated PM-induced dyslipidemia, liver steatosis and whitening of BAT, while enhancing CD36, SLC27A1, CYP4A14 and UCP1 expression. In conclusion, PPAR alpha pathway participates in PM-induced lipid metabolism disorder, PPAR alpha agonist WY14,643 treatment exerted protective effects on PM-induced dyslipidemia, liver steatosis and whitening of BAT, but not on increased adipocyte size of WAT.
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Affiliation(s)
- Zijian Xu
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao, China
| | - Limei Shi
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao, China
| | - Daochuan Li
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qincheng Wu
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao, China
| | - Ying Zhang
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao, China
| | - Mengyu Gao
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao, China
| | - Andong Ji
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao, China
| | - Qixiao Jiang
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao, China
| | - Rui Chen
- Department of Toxicology, School of Public Health, Capital Medical University, Beijing, China
| | - Rong Zhang
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Wen Chen
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yuxin Zheng
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao, China
| | - Lianhua Cui
- Department of Toxicology, School of Public Health, Qingdao University, Qingdao, China.
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Yen CC, Chen PL. Regional air pollution severity affects the incidence of acute myocardial infarction triggered by short-term pollutant exposure: a time-stratified case-crossover analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:8473-8478. [PMID: 34487323 PMCID: PMC8420147 DOI: 10.1007/s11356-021-16273-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 08/27/2021] [Indexed: 06/01/2023]
Abstract
Long-term exposure to air pollution results in a high incidence of cardiovascular disease. Many studies have found that short-term exposure to air pollution can trigger acute myocardial infarction. This study aims to determine whether results in areas with different levels of severity of air pollution are similar. The study design is a time-stratified case-crossover analysis. This was a retrospective study based on hospital medical records. The study period was since 1 January 2017 to 31 December 2018. Research data were collected from Taoyuan Hospital, located in an area with low severity of pollution, and Taichung Hospital, located in an area with high severity of pollution. The correlation between short-term air pollution exposure and acute myocardial infarction was analyzed. The correlation between short-term exposure to ambient air pollutants and acute myocardial infarction was not significant for the cases collected from Taoyuan Hospital (PM2.5 OR: 1.006 and 95% CI: 0.995-1.017; PM10 OR: 0.996 and 95% CI: 0.988-1.003). However, for the cases collected from Taichung Hospital, short-term exposure to ambient PM2.5 (odds ratio: 1.021; 95% confidence interval: 1.002-1.040) and PM10 (odds ratio: 1.010; 95% confidence interval: 1.001-1.020) resulted in high incidence of acute myocardial infarction. Short-term pollutant exposure will increase the incidence of acute myocardial infarction based on the severity of regional air pollution. In addition to addressing traditional cardiovascular disease risk factors, the government must formulate relevant policies for reducing air pollution and the resulting hazards to citizens' health.
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Affiliation(s)
- Chih-Chien Yen
- Division of Cardiovascular Surgery, Department of Surgery, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan, Republic of China
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, No. 250, Wu-Hsing St., Xinyi Dist., Taipei City, 110, Taiwan, Republic of China
| | - Ping-Ling Chen
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, No. 250, Wu-Hsing St., Xinyi Dist., Taipei City, 110, Taiwan, Republic of China.
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Kumar P, Zavala-Reyes JC, Tomson M, Kalaiarasan G. Understanding the effects of roadside hedges on the horizontal and vertical distributions of air pollutants in street canyons. ENVIRONMENT INTERNATIONAL 2022; 158:106883. [PMID: 34583097 DOI: 10.1016/j.envint.2021.106883] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 08/28/2021] [Accepted: 09/15/2021] [Indexed: 06/13/2023]
Abstract
Built-up environments limit air pollution dispersion in street canyons and lead to complex trade-offs between green infrastructure (GI) usage and its potential to reduce near-road exposure. This study evaluated the effects of an evergreen hedge on the distribution of particulate matter (PM1, PM2.5, PM10), black carbon (BC) and particle number concentrations (PNCs) in a street canyon in West London. Instrumentation was deployed around the hedge at 13 fixed locations to assess the impact of the hedge on vertical and horizontal concentration distributions. Changes in concentrations behind the hedge were measured with reference to the corresponding sampling point in front of the hedge for all sets of measurements. Results showed a significant reduction in vertical concentrations between 1 and 1.7 m height, with maximum reductions of -16% (PM1 and PM10) and -17% (PM2.5) at ∼1 m height. Horizontal concentrations revealed two zones between the building façade and the hedge, with opposite trends: (i) close to hedge (within 0.2 m), where a reduction of PM1 and PM2.5 was observed, possibly due to dilution, deposition and the barrier effect; and (ii) 0.2-3 m from the hedge, showing an increase of 13-37% (PM1) and 7-21% (PM2.5), possibly due to the blockage effect of the building, restricting dispersion. BC showed a significant reduction at breathing height (1.5 m) of between -7 and -50%, followed by -15% for PNCs in the 0.02-1 µm size range. The ELPI + analyser showed a peak of ∼30 nm. The presence of the hedge led to a ∼39 ± 32% decrease in total PNCs (0.006-10 µm), suggesting a greater removal in different modes, such as a 83 ± 12% reduction in nucleation mode (0.006-0.030 µm), 74 ± 15% in ultrafine (≤0.1 µm), and 34 ± 30% in accumulation mode (0.03-0.3 µm). These findings indicate graded filtering of particles by GI in a near-road street canyon environment. This insight will guide the improved design of GI barriers and the validation of microscale dispersion models.
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Affiliation(s)
- Prashant Kumar
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, Surrey, United Kingdom.
| | - Juan C Zavala-Reyes
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, Surrey, United Kingdom
| | - Mamatha Tomson
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, Surrey, United Kingdom
| | - Gopinath Kalaiarasan
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, Surrey, United Kingdom
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15
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Zhao C, Li Q, Cui Z, Wang J, Sun L, Yin Y. Impact of ambient fine particulate matter on emergency department admissions for circulatory system disease in a city in Northeast China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:62839-62852. [PMID: 34218380 DOI: 10.1007/s11356-021-15222-5] [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: 04/05/2021] [Accepted: 06/27/2021] [Indexed: 06/13/2023]
Abstract
The cardiovascular impact of fine particles has caused great concern worldwide. However, evidences on the impact of fine particulate matter (PM2.5) on emergency department (ED) admissions for circulatory system disease in Northeast China is limited. We assessed the acute, lag, cumulative, and harvesting effects of PM2.5 on ED admissions for circulatory system diseases and their exposure-response relationship. A total of 26,168 ED admissions, including those for hypertension, ischemic heart disease (IHD), arrhythmia, heart failure (HF), and cerebrovascular events (CVE), were collected from the Shenyang Emergency Center from 1 January 2017 to 31 December 2018. The relationship between PM2.5 and ED admissions for circulatory system disease was estimated using a distributed lag non-linear model and a generalized additive quasi-Poisson model. We stratified the analyses by temperature. Air pollution was positively correlated with daily ED admissions for circulatory system disease or other cause-specific diseases under different lag structures. For every 10-μg/m3 increase in the PM2.5 concentration, the relative risk of daily ED admissions for circulatory system disease was 1.007 [95% confidence interval (CI), 1.001-1.013] in lag0, 1.007 (95%CI, 1.000-1.013) in lag1, and 1.011 (95%CI, 1.002-1.021) in lag03. A lag effect was found in IHD, a cumulative effect was found in CVE, and both lag and cumulative effects were found in hypertension and arrhythmia. A harvesting effect was observed in daily ED admissions for circulatory system disease and HF. We found no interaction between pollutants and temperature. We observed a monotonic and almost linear exposure-response relationship between PM2.5 and circulatory system disease with no threshold effect.PM2.5 contributes to obvious acute, lag, cumulative, and harvesting effects on circulatory system disease. PM2.5 was associated with the risk of daily ED admissions for circulatory system disease, hypertension, IHD, arrhythmia, HF, and CVE. Therefore, air quality management must be strengthened.
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Affiliation(s)
- Chenkai Zhao
- Department of Environmental Health, School of Public Health, China Medical University, Key Laboratory of Environmental Health Damage Research and Assessment, Shenyang, 110122, Liaoning, China
| | - Qidian Li
- Department of Environmental Health, School of Public Health, China Medical University, Key Laboratory of Environmental Health Damage Research and Assessment, Shenyang, 110122, Liaoning, China
| | - Zhongming Cui
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110000, Liaoning, China
| | - JunLong Wang
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110000, Liaoning, China
| | - Li Sun
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110000, Liaoning, China
| | - Yan Yin
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, 110000, Liaoning, China.
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16
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Li Y, Li C, Liu J, Meng C, Xu C, Liu Z, Wang Q, Liu Y, Han J, Xu D. An association between PM 2.5 and pediatric respiratory outpatient visits in four Chinese cities. CHEMOSPHERE 2021; 280:130843. [PMID: 34162098 DOI: 10.1016/j.chemosphere.2021.130843] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 04/14/2021] [Accepted: 05/05/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND The effects of exposure to particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5) on children's respiratory system were investigated in numerous epidemiological literatures. However, studies on the association between PM2.5 and pediatric outpatient visits for respiratory diseases, especially considering the multicenter studies were limited in China. OBJECTIVES To study the association between the short-term exposure to PM2.5 and the number of children's outpatient visits for respiratory diseases in four Chinese cities as well as the pooled health effects. METHODS Data of pediatric outpatient visits for respiratory diseases (RD, ICD: J00-J99) from representative hospitals in Shijiazhuang (SJZ), Xi'an (XA), Nanjing (NJ) and Guangzhou (GZ) in China from 2015 to 2018 were collected and the air quality data for the same period were collected from environmental protection departments. Generalized additive model (GAM) with quasi-Poisson regression was conducted to analyze the effects of PM2.5 on the number of pediatric outpatient visits in each city. Single-day lag model (lag0 to lag7) and moving average lag model (lag01 and lag07) were used to examine the lag effects and cumulative effects. Random-effects meta-analysis was used to pool the estimated risks of four cities. The interactions between PM2.5 and temperature were also explored. RESULTS The average daily/total outpatient visits for RD, in SJZ, XA, NJ and GZ from 2015 to 2018 were 854.2/1,245,384, 2353.9/3,439,025, 1267.2/1,851,438 and 1399.5/2,044,740 respectively. The percentages of acute upper respiratory infections (URD, ICD: J00-J06) and other acute lower respiratory infections (LRD, ICD: J20-J22) in RD were 33%, 13% (SJZ), 43%, 32% (XA), 26%, 21% (NJ) and 54%, 26% (GZ). The largest pooled estimates of single-day lag effects for RD, URD, and LRD were at lag0, lag0 and lag1. Every 10 μg/m3 increase in PM2.5 concentration was associated with a 0.46% (95%CI: 0.21%-0.70%), 0.50% (95%CI: 0.19%-0.81%) and 0.42% (95%CI: 0.06%-0.79%) increased number of outpatient visits significantly. While max cumulative effects which were all at lag 07 were 1.10% (95%CI: 0.46%-1.74%), 0.96% (95%CI: 0.20%-1.73%) and 1.06% (95%CI: 0.12%-2.00%). Less polluted cities (GZ and NJ) showed greater city-specific excess risks, but the excess risks significantly decreased after adjusting for NO2 in two-pollutant models. Generally, PM2.5 showed larger health hazards on lower temperature days. CONCLUSIONS Our study showed that exposure to the ambient PM2.5 was associated with the increase of the number of outpatient visits with pediatric respiratory diseases in four Chinese cities. The health effects of PM2.5 may not be independent of other air pollutants and could be modified by temperature.
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Affiliation(s)
- Yawei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Chengcheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Jingyi Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Congshen Meng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Chunyu Xu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Zhe Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Qin Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Yue Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Jingxiu Han
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China.
| | - Dongqun Xu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China.
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Short-term exposure to air pollution and hospital admission for heart failure among older adults in metropolitan cities: a time-series study. Int Arch Occup Environ Health 2021; 94:1605-1615. [PMID: 34089350 DOI: 10.1007/s00420-021-01724-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 02/26/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE We aimed to investigate the association between air pollution concentration levels and hospital admissions for heart failure (HF) among older adults in metropolitan cities in South Korea. METHODS We used hospital admission data of 1.8 million older adults in seven metropolitan cities from 2008 to 2016, derived from the National Health Insurance Service of South Korea. Daily HF admission data were linked to air pollutants concentrations for the respective dates, including particulate matter less than 2.5 μm in size (PM2.5), 10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone. We estimated the association between air pollutants and daily HF admissions using quasi-Poisson generalized additive models for each city. RESULTS During the study period, 142,490 hospital admissions for HF were noted. Increases of 10 μg/m3 of PM2.5 and PM10, and 10 ppb of SO2, NO2, and CO were associated with an increased risk of HF admission by 0.93% ([95% confidence intervals 0.51-1.36], 0.55% [0.31-0.80], 6.04% [2.15-10.08], 1.10% [0.38-1.82], and 0.05% [0.01-0.09]), respectively, on the same day. Increases in mean exposure to PM2.5, PM10, and SO2 for 8 days from the concurrent day were also significantly associated with HF admissions. During the warm season, the risk of HF admissions increased shortly after an increase in PM2.5, whereas prolonged effects were observed during the cold season. CONCLUSION Our study suggests the adverse effects of air pollution on HF. Moreover, the evidence of seasonality may help tailor protection guidelines for older adults.
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Li X, Cheng H, Fang Y, Chen Z, Qi G, Chen R, Kan H, Liu C, Cao J. Association between fine particulate matter and heart failure hospitalizations: a time-series analysis in Yancheng, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:26906-26912. [PMID: 33501575 DOI: 10.1007/s11356-021-12428-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 01/07/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Heart failure (HF) is a global public health problem of increasing importance. The association between acute exposure to air pollution and HF has been well established in developed countries, but little evidence is available in developing countries where air pollution levels are much higher. OBJECTIVES To explore the associations between PM2.5 and HF hospitalizations in Yancheng, China. METHODS In this time-series study, daily HF hospitalizations admitted in three major hospitals in Yancheng from May 1, 2015 to Apr 30, 2020 were collected. We used a generalized additive model with quasi-Poisson regression to investigate the association between PM2.5 and HF hospitalizations. The robustness of the associations was tested using two-pollutant models, and we examined the potential effect modification by age, gender, and season via stratification analyses. Lastly, we pooled the concentration-response curves. RESULTS A total of 10,466 HF hospitalizations were recorded, with a daily average of 6 cases. We observed the most robust estimates on lag 0 day, and the associated increment in HF was 1.28% (95% CI 0.45%, 2.11%) for a 10-μg/m3 increase of PM2.5. The association remained after adjustment of O3, but not for NO2, CO, and SO2. The PM2.5-HF associations were positive in females, patients aged ≥ 65 years, and in cold season. The C-R relationship curve was generally increasing below 30 μg/m3. CONCLUSION This study provided evidence on the association of PM2.5 with acute exacerbation of chronic heart failure, which may benefit future prevention strategy and policymaking.
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Affiliation(s)
- Xu Li
- Department of Cardiology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First Hospital of Yancheng, No. 166 Yulong West Road, Yancheng, 224006, China
| | - Hongyi Cheng
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yan Fang
- Department of Cardiology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First Hospital of Yancheng, No. 166 Yulong West Road, Yancheng, 224006, China
| | - Zhichao Chen
- Department of Cardiology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First Hospital of Yancheng, No. 166 Yulong West Road, Yancheng, 224006, China
| | - Guangyu Qi
- Department of Hematology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First Hospital of Yancheng, Yancheng, 224006, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, No.130 Dong-An Road, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, No.130 Dong-An Road, Shanghai, 200032, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, No.130 Dong-An Road, Shanghai, 200032, China.
| | - Jingyan Cao
- Department of Cardiology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First Hospital of Yancheng, No. 166 Yulong West Road, Yancheng, 224006, China.
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19
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Vilcassim MJR, Callahan AE, Zierold KM. Travelling to polluted cities: a systematic review on the harm of air pollution on international travellers' health. J Travel Med 2021; 28:6210993. [PMID: 33823002 DOI: 10.1093/jtm/taab055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 03/23/2021] [Accepted: 03/30/2021] [Indexed: 01/22/2023]
Abstract
RATIONALE FOR REVIEW In 2019, approximately, 1.4 billion people travelled internationally. Many individuals travel to megacities where air pollution concentrations can vary significantly. Short-term exposure to air pollutants can cause morbidity and mortality related to cardiovascular and respiratory disease, with the literature clearly reporting a strong association between short-term exposure to particulate matter ≤2.5 μm and ozone with adverse health outcomes in resident populations. However, limited research has been conducted on the health impacts of short-term exposure to air pollution in individuals who travel internationally. The objective of this systematic review was to review the evidence for the respiratory and cardiovascular health impacts from exposure to air pollution during international travel to polluted cities in adults aged ≥18 years old. KEY FINDINGS We searched PubMed, Scopus and EMBASE for studies related to air pollution and the health impacts on international travellers. Of the initially identified 115 articles that fit the search criteria, 6 articles were selected for the final review. All six studies found indications of adverse health impacts of air pollution exposure on international travellers, with most of the changes being reversible upon return to their home country/city. However, none of these studies contained large populations nor investigated vulnerable populations, such as children, elderly or those with pre-existing conditions. CONCLUSIONS More research is warranted to clearly understand the impacts of air pollution related changes on travellers' health, especially on vulnerable groups who may be at higher risk of adverse impacts during travel to polluted cities.
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Affiliation(s)
- M J Ruzmyn Vilcassim
- Department of Environmental Health Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Amy E Callahan
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kristina M Zierold
- Department of Environmental Health Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
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20
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Sangkharat K, Thornes JE, Wachiradilok P, Pope FD. Determination of the impact of rainfall on road accidents in Thailand. Heliyon 2021; 7:e06061. [PMID: 33644437 PMCID: PMC7895724 DOI: 10.1016/j.heliyon.2021.e06061] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 12/30/2020] [Accepted: 01/19/2021] [Indexed: 11/28/2022] Open
Abstract
The World Health Organization has highlighted that the number of deaths worldwide due to road accidents increases every year. It recommends that countries improve road safety for all people by providing sustainable and safe transport systems by 2030, efforts are especially required within Low Middle-Income Countries (LMICS). This study is the first to investigate the impact of rainfall on road accidents in Thailand. Thai emergency data were collected from the National Institute for Emergency Medicine (NIEM) between 2012 to 2018. A time-series design with generalized linear model (GLM) was applied to analyse the associations between road accidents and rainfall. The results are reported using relative risk (RR) at 95% confidence intervals compared with dry days. The effects of long-term trends, seasonality, day of the weeks, public holidays and other meteorological factors were controlled in the GLM. A meta-analysis was applied to summarise the estimate effect of rain groups stratified by the Northern and Southern provinces. Findings reported a significant increase in road accidents due to high rainfall levels both in the Southern and the Northern provinces. The pooled estimate risks in the Southern provinces have higher estimated risks than the Northern provinces. Both Northern and Southern provinces showed the rain group with 10-20 mm/day having the highest pooled estimated risk with RR = 1.052, (95% CI: 1.026-1.079) and RR = 1.062, (95% CI: 1.043-1.082), respectively, while surprisingly, heavy rain with more than 20 mm/day reported a reduction of risks. Road accidents can therefore be associated with rainfall. It is recommended that rainfall is factored into ambulance forecast models and warning systems, allowing for improvements in ambulance service efficiency. Policymakers need to integrate road safety policies that reduce road accidents in wet weather.
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Affiliation(s)
| | - John E Thornes
- School of Geography, Earth and Environmental Sciences, UK.,Public Health England, CRCE, Chilton, Oxford, UK
| | | | - Francis D Pope
- School of Geography, Earth and Environmental Sciences, UK
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21
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Lederer AM, Fredriksen PM, Nkeh-Chungag BN, Everson F, Strijdom H, De Boever P, Goswami N. Cardiovascular effects of air pollution: current evidence from animal and human studies. Am J Physiol Heart Circ Physiol 2021; 320:H1417-H1439. [PMID: 33513082 DOI: 10.1152/ajpheart.00706.2020] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Air pollution is a global health concern. Particulate matter (PM)2.5, a component of ambient air pollution, has been identified by the World Health Organization as one of the pollutants that poses the greatest threat to public health. Cardiovascular health effects have been extensively documented, and these effects are still being researched to provide an overview of recent literature regarding air pollution-associated cardiovascular morbidity and mortality in humans. Additionally, potential mechanisms through which air pollutants affect the cardiovascular system are discussed based on human and additional animal studies. We used the strategy of a narrative review to summarize the scientific literature of studies that were published in the past 7 yr. Searches were carried out on PubMed and Web of Science using predefined search queries. We obtained an initial set of 800 publications that were filtered to 78 publications that were relevant to include in this review. Analysis of the literature showed significant associations between air pollution, especially PM2.5, and the risk of elevated blood pressure (BP), acute coronary syndrome, myocardial infarction (MI), cardiac arrhythmia, and heart failure (HF). Prominent mechanisms that underlie the adverse effects of air pollution include oxidative stress, systemic inflammation, endothelial dysfunction, autonomic imbalance, and thrombogenicity. The current review underscores the relevance of air pollution as a global health concern that affects cardiovascular health. More rigorous standards are needed to reduce the cardiovascular disease burden imposed by air pollution. Continued research on the health impact of air pollution is needed to provide further insight.
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Affiliation(s)
- Agnes Maria Lederer
- Physiology Division, Otto Loewi Research Centre, Medical University of Graz, Graz, Austria
| | | | - Benedicta Ngwenchi Nkeh-Chungag
- Department of Biological and Environmental Sciences, Faculty of Natural Sciences, Walter Sisulu University, Mthatha, South Africa
| | - Frans Everson
- Centre for Cardio-metabolic Research in Africa, Division of Medical Physiology, Stellenbosch University, Stellenbosch, South Africa
| | - Hans Strijdom
- Centre for Cardio-metabolic Research in Africa, Division of Medical Physiology, Stellenbosch University, Stellenbosch, South Africa
| | - Patrick De Boever
- Department of Biology, University of Antwerp, Wilrijk, Belgium.,Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Nandu Goswami
- Physiology Division, Otto Loewi Research Centre, Medical University of Graz, Graz, Austria.,Department of Health Sciences, Alma Mater Europaea Maribor, Maribor, Slovenia
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22
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Tian M, Zhao J, Mi X, Wang K, Kong D, Mao H, Wang T. Progress in research on effect of PM
2.5
on occurrence and development of atherosclerosis. J Appl Toxicol 2020; 41:668-682. [DOI: 10.1002/jat.4110] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 10/22/2020] [Accepted: 10/24/2020] [Indexed: 12/12/2022]
Affiliation(s)
- Mengya Tian
- Tianjin Key Laboratory of Urban Transport Emission Research, State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering Nankai University Tianjin China
| | - Jingbo Zhao
- Tianjin Key Laboratory of Urban Transport Emission Research, State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering Nankai University Tianjin China
| | - Xingyan Mi
- Key Laboratory of Bioactive Materials, Ministry of Education, College of Life Sciences Nankai University Tianjin China
| | - Kai Wang
- Key Laboratory of Bioactive Materials, Ministry of Education, College of Life Sciences Nankai University Tianjin China
| | - Deling Kong
- Key Laboratory of Bioactive Materials, Ministry of Education, College of Life Sciences Nankai University Tianjin China
| | - Hongjun Mao
- Tianjin Key Laboratory of Urban Transport Emission Research, State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering Nankai University Tianjin China
| | - Ting Wang
- Tianjin Key Laboratory of Urban Transport Emission Research, State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering Nankai University Tianjin China
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23
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Arias-Pérez RD, Taborda NA, Gómez DM, Narvaez JF, Porras J, Hernandez JC. Inflammatory effects of particulate matter air pollution. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:42390-42404. [PMID: 32870429 DOI: 10.1007/s11356-020-10574-w] [Citation(s) in RCA: 133] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 08/19/2020] [Indexed: 05/05/2023]
Abstract
Air pollution is an important cause of non-communicable diseases globally with particulate matter (PM) as one of the main air pollutants. PM is composed of microscopic particles that contain a mixture of chemicals and biological elements that can be harmful to human health. The aerodynamic diameter of PM facilitates their deposition when inhaled. For instance, coarse PM having a diameter of < 10 μm is deposited mainly in the large conducting airways, but PM of < 2.5 μm can cross the alveolar-capillary barrier, traveling to other organs within the body. Epidemiological studies have shown the association between PM exposure and risk of disease, namely those of the respiratory system such as lung cancer, asthma, and chronic obstructive pulmonary disease (COPD). However, cardiovascular and neurological diseases have also been reported, including hypertension, atherosclerosis, acute myocardial infarction, stroke, loss of cognitive function, anxiety, and Parkinson's and Alzheimer's diseases. Inflammation is a common hallmark in the pathogenesis of many of these diseases associated with exposure to a variety of air pollutants, including PM. This review focuses on the main effects of PM on human health, with an emphasis on the role of inflammation.
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Affiliation(s)
- Rubén D Arias-Pérez
- Grupo de Investigaciones Biomédicas Uniremington, Programa de Medicina, Facultad de Ciencias de la Salud, Corporación Universitaria Remington, Medellín, Colombia
| | - Natalia A Taborda
- Grupo de Investigaciones Biomédicas Uniremington, Programa de Medicina, Facultad de Ciencias de la Salud, Corporación Universitaria Remington, Medellín, Colombia
- Grupo Inmunovirología, Facultad de Medicina, Universidad de Antioquia, UdeA, Calle 70 No. 52-21, Medellín, Colombia
| | - Diana M Gómez
- Infettare, Facultad de Medicina, Universidad Cooperativa de Colombia, Medellín, Colombia
| | - Jhon Fredy Narvaez
- Grupo de Investigaciones Ingeniar, Facultad de Ingenierías, Corporación Universitaria Remington, Medellín, Colombia
| | - Jazmín Porras
- Grupo de Investigaciones Biomédicas Uniremington, Programa de Medicina, Facultad de Ciencias de la Salud, Corporación Universitaria Remington, Medellín, Colombia
| | - Juan C Hernandez
- Infettare, Facultad de Medicina, Universidad Cooperativa de Colombia, Medellín, Colombia.
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24
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Wang X, Yu Y, Yu C, Shi F, Zhang Y. Associations between acute exposure to ambient air pollution and length of stay for inpatients with ischemic heart disease: a multi-city analysis in central China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:43743-43754. [PMID: 32737787 DOI: 10.1007/s11356-020-10256-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 07/22/2020] [Indexed: 06/11/2023]
Abstract
Ambient air pollution (AAP) has been widely associated with increased morbidity of ischemic heart disease (IHD). However, no prior studies have investigated the effects of AAP exposure on the length of stay (LOS) due to IHD. Hospital data during 2015-2017 were obtained from hospital information system in five cities of Hubei province, China. We collected daily mean concentrations of air pollutants, including PM2.5, PM10, SO2, NO2, O3, and CO, and meteorological data during the same time period. Poisson regression was applied to estimate the acute impacts of AAP on the LOS of IHD inpatients. A total of 42,114 inpatients with primary diagnosis of IHD were included, 50.63% of which were chronic IHD inpatients. Annual average concentrations of PM2.5, PM10, SO2, NO2, O3, and CO were 61.93 μg/m3, 95.47 μg/m3, 18.59 μg/m3, 35.87 μg/m3, 100.30 μg/m3, and 1.117 mg/m3, respectively. After adjusting for temperature, relative humidity, gender, age group, payment method, number of hospital beds, location of hospital, and surgery or not, exposures to PM2.5, PM10, SO2, O3, and CO were associated with increased LOS for all IHD patients in both single- and multi-pollutant models, and stronger associations were observed among chronic IHD patients. In addition, subgroup analyses demonstrated that males and the group aged 65+ years were more vulnerable to air pollution, and the adverse effects were also promoted by low temperature in cold season. This study provides the first investigation of the adverse effects of AAP on the LOS for IHD patients. In order to shorten the LOS of IHD, measures should be taken to strengthen the AAP management and protect the high-risk population.
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Affiliation(s)
- Xuyan Wang
- Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Yong Yu
- Center of Health Administration and Development Studies, Hubei University of Medicine, Shiyan, 442000, China
| | - Chuanhua Yu
- Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
- Global Health Institute, Wuhan University, Wuhan, 430071, China.
| | - Fang Shi
- Department of Epidemiology and Health Statistics, School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan, 430065, China.
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, China.
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25
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Zhang S, Routledge MN. The contribution of PM 2.5 to cardiovascular disease in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:37502-37513. [PMID: 32691311 PMCID: PMC7496016 DOI: 10.1007/s11356-020-09996-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 07/01/2020] [Indexed: 05/02/2023]
Abstract
China is experiencing rapid urbanization and industrialization with correspondingly high levels of air pollution. Although the harm of PM2.5 has been long reported, it is only quite recently that there is increasing concern in China for its possible adverse health effects on cardiovascular disease. We reviewed the epidemiologic evidence of potential health effects of PM2.5 on cardiovascular disease reported from recent studies in China (2013 onwards). There is clear evidence for the contribution of PM2.5 to cardiovascular outcomes, including mortality, ischemic heart disease, and stroke from studies based in various regions in China. This evidence adds to the global evidence that PM2.5 contributes to adverse cardiovascular health risk and highlights the need for improved air quality in China.
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Affiliation(s)
- Shuqi Zhang
- School of Public Health, Fudan University, Shanghai, 200032 China
| | - Michael N. Routledge
- Leeds Institute of Cardiovascular & Metabolic Medicine, University of Leeds, Leeds, LS2 9JT UK
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China
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26
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Tapia V, Steenland K, Sarnat SE, Vu B, Liu Y, Sánchez-Ccoyllo O, Vasquez V, Gonzales GF. Time-series analysis of ambient PM 2.5 and cardiorespiratory emergency room visits in Lima, Peru during 2010-2016. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2020; 30:680-688. [PMID: 31745179 PMCID: PMC7234897 DOI: 10.1038/s41370-019-0189-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 08/26/2019] [Accepted: 09/19/2019] [Indexed: 05/21/2023]
Abstract
INTRODUCTION There have been no time-series studies of air pollution in Peru. Here we evaluate the effect of ambient PM2.5 on emergency room (ER) visits in Lima. METHODS We estimated daily PM2.5 levels at a 1 km2 resolution during 2010-2016 using ground measurements, satellite data, and chemical transport model simulations. Population-weighted average daily PM2.5 levels were calculated for each district in Lima (n = 40), and assigned to patients based on residence. ER visits for respiratory and circulatory diseases were gathered from nine large public hospitals. Poisson regression was used to estimate the rate ratio for daily ER visits with change in daily PM2.5, controlling for meteorology, time trends, and district. RESULTS For each interquartile range (IQR) increase in PM2.5, respiratory disease ER visits increased 4% (95% CI: 0-5%), stroke visits 10% (3-18%), and ischemic heart disease visits (adults, 18-64 years) 11% (-1, 24%). Districts with higher poverty showed significantly stronger associations of PM2.5 and respiratory disease ER visits than districts with lower poverty. Effects were diminished 24-42% using Lima-wide instead of district-specific PM2.5 levels. CONCLUSIONS Short-term exposure to ambient PM2.5 is associated with increases in ER visits in Lima for respiratory diseases and stroke, and among middle-aged adults, ischemic heart disease.
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Affiliation(s)
- V Tapia
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - K Steenland
- Department of Environmental Health, Rollins School of Public Health, Emory U., Atlanta, GA, USA.
| | - S E Sarnat
- Department of Environmental Health, Rollins School of Public Health, Emory U., Atlanta, GA, USA
| | - B Vu
- Department of Environmental Health, Rollins School of Public Health, Emory U., Atlanta, GA, USA
| | - Y Liu
- Department of Environmental Health, Rollins School of Public Health, Emory U., Atlanta, GA, USA
| | - O Sánchez-Ccoyllo
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
- Professional Career of Environmental Engineering, Universidad Nacional Tecnológica de Lima Sur (UNTELS), Lima, Peru
| | - V Vasquez
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - G F Gonzales
- Faculty of Sciences and Philosophy, and Laboratory of Investigation and Development, Universidad Peruana Cayetano Heredia, Lima, Peru
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27
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Yang M, Zhou R, Qiu X, Feng X, Sun J, Wang Q, Lu Q, Zhang P, Liu B, Li W, Chen M, Zhao Y, Mo B, Zhou X, Zhang X, Hua Y, Guo J, Bi F, Cao Y, Ling F, Shi S, Li YG. Artificial intelligence-assisted analysis on the association between exposure to ambient fine particulate matter and incidence of arrhythmias in outpatients of Shanghai community hospitals. ENVIRONMENT INTERNATIONAL 2020; 139:105745. [PMID: 32334122 DOI: 10.1016/j.envint.2020.105745] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 04/14/2020] [Accepted: 04/14/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Recently, the impact of fine particulate matter pollution on cardiovascular system is drawing considerable concern worldwide. The association between ambient fine particulate and the cardiac arrhythmias is not clear now. OBJECTIVE To study associations of ambient fine particulate with incidence of arrhythmias in outpatients. METHODS Data was collected from the remote electrocardiogram (ECG) system covering 282 community hospitals in Shanghai from June 24th, 2014 to June 23rd, 2016. ECG was performed for patients admitted to above hospitals with complaining of chest discomfort or palpitation, or for regular check-ups. Air quality data during this time period was obtained from China National Environment Monitoring Center. A generalized additive quasi-Poisson model was established to examine the associations between PM2.5 and cardiac arrhythmias. RESULTS Cardiac arrhythmias were detected in 202,661 out of 1,016,579 outpatients (19.9%) and fine particulate matter ranged from 6 to 219 μg/m3 during this period. Positive associations were evidenced between fine particulate matter level and prevalence of cardiac arrhythmia by different lag models. Per 10 μg/m3 increase in fine particulate matter was associated with a 0.584%(95%CI:0.346-0.689%, p < 0.001) increase of cardiac arrhythmia detected in these patient cohort at lag0-2. For different types of cardiac arrhythmias, an immediate arrhythmogenic effect of fine particulate matter (increase of the estimates of cardiac arrhythmia prevalence detected in daily outpatient visits) was found with paroxysmal supraventricular tachycardia; a lag effect was found with atrial fibrillation; and both immediate and lag effect was found with premature atrial contractions or atrial tachycardia, atrioventricular block. Moreover, the impact of fine particulate matter on cardiac arrhythmias was significantly greater in women (lag3 and lag0-4), and in people aged <65 years (lag0). CONCLUSION Ambient exposure to fine particulate matter is linked with increased risk of arrhythmias in outpatients visiting Shanghai community hospitals, with an immediate or lag effect. The arrhythmogenic effect varies among different types of cardiac arrhythmias.
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Affiliation(s)
- Mei Yang
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Runze Zhou
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Department of Cardiology, East Hospital, Tongji University, Shanghai, China
| | | | - Xiangfei Feng
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jian Sun
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qunshan Wang
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qiufen Lu
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Pengpai Zhang
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bo Liu
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Li
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Mu Chen
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhao
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Binfeng Mo
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xin Zhou
- Clinical Research Unit, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xi Zhang
- Clinical Research Unit, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yingxue Hua
- Pudong New Area Heqing Community Health Center, Shanghai, China
| | - Jin Guo
- Shanghai Huangpu Bund Subdistrict Community Health Center, Shanghai, China
| | - Fangfang Bi
- Changning Tianshan Community Health Center, Shanghai, China
| | - Yajun Cao
- Pudong New Area Sunqiao Community Health Center, Shanghai, China
| | - Feng Ling
- Shanghai Lingyun Community Health Center, Shanghai, China
| | - Shengming Shi
- Shangnail Xinhua Street Community Health Service Center, Shanghai, China
| | - Yi-Gang Li
- Department of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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28
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Dombek T, Poitras E, Hand J, Schichtel B, Harrington JM, Levine KE. Total sulfur analysis of fine particulate mass on nylon filters by ICP-OES. JOURNAL OF ENVIRONMENTAL QUALITY 2020; 49:762-768. [PMID: 33016392 DOI: 10.1002/jeq2.20066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 02/07/2020] [Accepted: 02/13/2020] [Indexed: 06/11/2023]
Abstract
Sulfur (S) and sulfate (SO4 2- ) in fine particulate matter (PM2.5 ) are monitored by the Interagency Monitoring of Protected Visual Environments (IMPROVE) network at remote and rural sites across the United States. Within the IMPROVE network, S is determined from X-ray fluorescence (XRF) spectroscopy from a Teflon filter, and SO4 2- is determined via ion chromatography (IC) from a nylon filter. Differences in S and SO4 2- estimates may indicate the presence of organosulfur (OS) species or biases between sampling and analytical methods. To reduce potential biases, an inductively coupled plasma-optical emission spectroscopy (ICP-OES) method was developed to allow for analysis of SO4 2- and S from a single filter extract. Sulfur (ICP-OES) and SO4 2- (IC) estimates from 2016 IMPROVE filters correlated strongly, suggesting that, on average, ICP-OES accurately estimated S. However, observed differences between slopes suggested the presence of water-soluble OS species, especially during summer. Organosulfur species are important indicators of secondary organic aerosols formed through reactions of biogenic and anthropogenic pollutants and can be quantified through laboratory techniques such as reverse-phase liquid chromatography (RPLC) or hydrophilic liquid interaction chromatography (HILIC) coupled to electrospray ionization-high-resolution tandem mass spectrometry (RPLC/ESI-HR-MS/MS and HILIC/ESI-HR-MS/MS, respectively), and field techniques using Aerodyne aerosol mass spectrometry (AMS). However, these methods are costly and introduce relatively large uncertainties when scaled for large networks such as IMPROVE. The method described in this report provides an inexpensive complement to XRF, which measures total S (insoluble and water-soluble S) to estimate water-soluble S and OS concentrations in PM.
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Affiliation(s)
- Tracy Dombek
- Analytical Sciences, RTI International, 3040 E. Cornwallis Rd., PO Box 12194, Research Triangle Park, NC, 27709-2194, USA
| | - Eric Poitras
- Analytical Sciences, RTI International, 3040 E. Cornwallis Rd., PO Box 12194, Research Triangle Park, NC, 27709-2194, USA
| | - Jenny Hand
- Cooperative Institute for Research in the Atmosphere, Colorado State Univ., Fort Collins, CO, 80523, USA
| | - Bret Schichtel
- National Park Service, Air Resources Division, Lakewood, CO, 80235, USA
| | - James M Harrington
- Analytical Sciences, RTI International, 3040 E. Cornwallis Rd., PO Box 12194, Research Triangle Park, NC, 27709-2194, USA
| | - Keith E Levine
- Analytical Sciences, RTI International, 3040 E. Cornwallis Rd., PO Box 12194, Research Triangle Park, NC, 27709-2194, USA
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29
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Chen R, Gao Q, Sun J, Yang H, Li Y, Kang F, Wu W. Short-term effects of particulate matter exposure on emergency room visits for cardiovascular disease in Lanzhou, China: a time series analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:9327-9335. [PMID: 31916161 DOI: 10.1007/s11356-020-07606-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 01/01/2020] [Indexed: 06/10/2023]
Abstract
Cardiovascular disease (CVD) has been the leading cause of death in China. Identifying the relationship between particulate matter (PM) and CVD in China is a significant challenge. In this study, daily CVD emergency room visit, environmental monitoring, and weather data from January 1, 2017, to December 31, 2018, in Lanzhou were collected. Generalized additive models (GAMs) were constructed to estimate the short-term effects of daily PM2.5, PMC, and PM10 concentrations on CVD emergency room visits with different lag structures after controlling for the influence of meteorological elements and gaseous pollutants. Stratified analyses were conducted according to age (≥ 65 years and < 65 years), sex (male and female), cold season (from November to April), and warm season (from May to October). The results showed that each 10 μg/m3 increase in PM2.5 was associated with a 1.93% (95% CI 0.12-3.78%) increase in CVD emergency room visits at lag03, and no single lag model was statistically significant. The excess relative risks (ERRs) of PM10 and PMC were not statistically significant at any lag pattern. The exposure-response curves demonstrated a nonlinear upward trend for these three PM pollutants. When adjusting for other gaseous pollutants, such as NO2, SO2, CO, and O3, in the two-pollutant models, the associations between PM10 and PMC and CVD emergency room visits did not change compared with the single-pollutant models. The ERRs of PM2.5 were 1.67% (95% CI 0.03-3.34%) at lag02 after adjustment for NO2 and 1.65% (95% CI 0.02-3.30%) at lag02 after adjustment for SO2. The ERRs of PM2.5 were still statistically significant at lag03 when we adjusted for any one of the gaseous pollutants. Susceptibility to PM2.5 was increased in people aged < 65 years, in males, and in the warm season. The findings are very important for local governments to develop environmental policies and strategies to reduce ambient PM2.5 levels.
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Affiliation(s)
- Rui Chen
- Environment and School Health Branch, Gansu Province Centre for Disease Control and Prevention, No.230 Donggang West Road, Chengguan Area, Lanzhou, 730000, Gansu, China
| | - Qian Gao
- Department of Environmental Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Jianyun Sun
- Environment and School Health Branch, Gansu Province Centre for Disease Control and Prevention, No.230 Donggang West Road, Chengguan Area, Lanzhou, 730000, Gansu, China
| | - Haixia Yang
- Environment and School Health Branch, Gansu Province Centre for Disease Control and Prevention, No.230 Donggang West Road, Chengguan Area, Lanzhou, 730000, Gansu, China
| | - Yongjun Li
- Physical and Chemical Examination Centre, Gansu Province Centre for Disease Control and Prevention, No.335 Duan Jia Tan Road, Chengguan Area, Lanzhou, 730000, Gansu, China
| | - Fenyan Kang
- Environment and School Health Branch, Gansu Province Centre for Disease Control and Prevention, No.230 Donggang West Road, Chengguan Area, Lanzhou, 730000, Gansu, China
| | - Wei Wu
- Department of Epidemiology, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China.
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Jiao A, Xiang Q, Ding Z, Cao J, Ho HC, Chen D, Cheng J, Yang Z, Zhang F, Yu Y, Zhang Y. Short-term impacts of ambient fine particulate matter on emergency department visits: Comparative analysis of three exposure metrics. CHEMOSPHERE 2020; 241:125012. [PMID: 31606575 DOI: 10.1016/j.chemosphere.2019.125012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 09/15/2019] [Accepted: 09/29/2019] [Indexed: 05/29/2023]
Abstract
BACKGROUND Research argued that daily excessive concentration hours (DECH) could be more informative through accounting for within-day variations, when assessing population-level exposure to ambient fine particle (PM2.5). However, few studies have comparatively investigated PM2.5-associated risks using DECH and two common metrics of daily mean and hourly peak concentration. METHODS We collected daily records of all-cause emergency department visits (EDVs) and hourly data on air pollutants and meteorological factors from Shenzhen, China, 2015-2018. According to guidelines proposed by the World Health Organization, DECH was calculated by summing up daily concentrations exceeding 25 μg/m3. Based on time-stratified case-crossover design, we adopted conditional logistic regression models to assess short-term attributable risks of EDVs associated with PM2.5 using three exposure metrics. RESULTS DECH and daily average of PM2.5 strongly elevated risks of EDVs, while less evident associations were observed using hourly peak metric. Estimated excess relative risks at lag 0 day were 0.56% (95% confidence interval [CI]: 0.21 to 0.91), 0.69% (95% CI: 0.25 to 1.13) and 0.37% (95% CI: 0.02 to 0.76), respectively, associated with an interquartile range increase in DECH (420.2 μg/m3), 24-h average (24.9 μg/m3) and hourly peak concentration (38 μg/m3). More emergency visits could be attributed to DECH than daily mean PM2.5, with attributable fractions of 2.02% (95% CI: 1.42 to 2.61) and 1.09% (95% CI: 0.69 to 1.49), respectively. CONCLUSIONS This study added evidence for increased risk of EDVs associated with exposure to ambient PM2.5. DECH was a potential alternative exposure metric for PM2.5 assessment, which may have implications for future revision of air quality standards.
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Affiliation(s)
- Anqi Jiao
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan, 430071, China; Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
| | - Qianqian Xiang
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, 430079, China
| | - Zan Ding
- The Institute of Metabolic Diseases, Baoan Central Hospital of Shenzhen, The Fifth Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, 518102, China
| | - Jiguo Cao
- Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
| | - Hung Chak Ho
- Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China
| | - Dieyi Chen
- Department of Global Health, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan, 430071, China
| | - Jian Cheng
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, 4059, Australia
| | - Zhiming Yang
- Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China
| | - Faxue Zhang
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, 185 Donghu Road, Wuhan, 430071, China
| | - Yong Yu
- School of Public Health and Management, Hubei University of Medicine, Shiyan, 442000, China.
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan, 430065, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, China.
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Duan Y, Liao Y, Li H, Yan S, Zhao Z, Yu S, Fu Y, Wang Z, Yin P, Cheng J, Jiang H. Effect of changes in season and temperature on cardiovascular mortality associated with nitrogen dioxide air pollution in Shenzhen, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 697:134051. [PMID: 31487586 DOI: 10.1016/j.scitotenv.2019.134051] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 07/26/2019] [Accepted: 08/21/2019] [Indexed: 04/13/2023]
Abstract
BACKGROUND The intricate association of mortality risk with ambient air pollution and temperature is of growing concern. Little is known regarding effect of changes in season and temperature on daily cardiovascular mortality associated with air pollutant nitrogen dioxide (NO2). OBJECTIVES Our study aimed to assess the effect of NO2 on cardiovascular mortality modified by season and daily air temperature in the effect, and further to identify the population highly susceptible to cardiovascular mortality associated with NO2 and air temperature. METHODS We collected daily cause-specific death data, weather conditions, and air pollutant concentrations in Shenzhen from 2013 to 2017. Distributed-lag linear models were employed to analyze the effect of season on the NO2-associated mortality. Furthermore, generalized additive models were combined with stratification parametric analysis to estimate the interaction effect of NO2 with air temperature on cardiovascular mortality. RESULTS In the cold season, the percentage increase in daily mortality for every 10 μg/m3 increment in NO2 concentration over lags of 0-2 days was 4.45% (95% CI: 2.71-6.21%). However, no statistically significant effect of NO2 was observed in the warm season. Compared with high-temperature days (>median temperature), a 3.51% increase in mortality (95% CI: 2.04-5.01%) over low-temperature days (≤median temperature) for the same increase in NO2 was significant. Air temperature modified the effect of NO2 on daily mortality by 4.08% (95% CI: 2.28-5.91%) for the elderly (age ≥ 65 years) on low-temperature days vs. -0.82% (95% CI: -3.88-2.34%) on high-temperature days, and 3.38% (95% CI: 1.50-5.29%) for males on low-temperature days vs. -0.73% (95% CI: -3.83-2.47%) on high air temperature days. CONCLUSIONS The cold season and low temperatures could significantly enhance the effect of NO2 on cardiovascular mortality. The elderly and males suffering from cardiovascular disease should take precautions against low temperature and NO2 air pollution.
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Affiliation(s)
- Yanran Duan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Liao
- Department of Public Health Promotion, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Hongyan Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Siyu Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiguang Zhao
- Department of Public Health Promotion, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Shuyuan Yu
- Department of environment and health, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yingbin Fu
- Department of Public Health Promotion, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Zhihui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China.
| | - Hongwei Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Sangkharat K, Fisher P, Thomas GN, Thornes J, Pope FD. The impact of air pollutants on ambulance dispatches: A systematic review and meta-analysis of acute effects. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 254:112769. [PMID: 31419665 DOI: 10.1016/j.envpol.2019.06.065] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 06/17/2019] [Accepted: 06/17/2019] [Indexed: 06/10/2023]
Abstract
A number of systematic reviews have investigated the association between air pollutants and health impacts, these mostly focus on morbidity and mortality from hospital data. Previously, no reviews focused solely on ambulance dispatch data. These data sets have excellent potential for environmental health research. For this review, publications up to April 2019 were identified using three main search categories covering: ambulance services including dispatches; air pollutants; and health outcomes. From 308 studies initially identified, 275 were excluded as they did not relate to ambulance service dispatches, did not report the air pollutant association, and/or did not study ambient air pollution. The main health outcomes in the remaining 33 studies were cardiac arrest (n = 14), cardiovascular (n = 11) and respiratory (n = 10) dispatches. Meta-analyses were performed to summarise pooled relative risk (RR) of pollutants: particulate matter less than 2.5 and 10 μm (PM2.5, PM10), the fraction between PM10 and PM2.5 (coarse) and suspended particulate matter (SPM) per 10 μg/m3 increase, carbon monoxide (CO) per 1 ppm increase and of sulphur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) per 10 ppb increment and ambulance dispatches. Statistically significant associations were found for ambulance dispatch data for all-respiratory and PM2.5 at 1.03 (95% CI:1.02-1.04) and at 1.10 (95% CI:1.00-1.21) for asthma and NO2 associations. For dispatches with subsequent paramedic assessment for cardiac arrest with PM2.5, CO and coarse dispatches at 1.05 (95% CI:1.03-1.08), 1.10 (95% CI:1.02-1.18) and 1.04 (95% CI:1.01-1.06) respectively. For dispatches with subsequent physician diagnosis for all-respiratory and PM2.5 at 1.02 (95% CI:1.01-1.03). In conclusion, air pollution was significantly associated with an increase in ambulance dispatch data, including those for cardiac arrest, all-respiratory, and asthma dispatches. Ambulance services should plan accordingly during pollution events. Furthermore, efforts to improve air quality should lead to decreases in ambulance dispatches.
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Affiliation(s)
- Kamolrat Sangkharat
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Paul Fisher
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - G Neil Thomas
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - John Thornes
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK; Chemicals and Environmental Effects, Public Health England, Oxfordshire, UK
| | - Francis D Pope
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
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Cheng J, Xu Z, Zhang X, Zhao H, Hu W. Estimating cardiovascular hospitalizations and associated expenses attributable to ambient carbon monoxide in Lanzhou, China: Scientific evidence for policy making. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 682:514-522. [PMID: 31129539 DOI: 10.1016/j.scitotenv.2019.05.110] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 05/08/2019] [Accepted: 05/08/2019] [Indexed: 06/09/2023]
Abstract
OBJECTIVES Air pollution is an important trigger of cardiovascular disease worldwide, but few studies have determined the cardiovascular disease, health, and economic burdens attributable to ambient carbon monoxide (CO). This study aimed to examine the association between CO and CVD hospitalizations, and quantified the attributable CVD hospitalizations, associated hospital stays and hospitalization costs for CO in Lanzhou, one of the most air-polluted Chinese cities historically. METHODS Daily data on CVD hospitalizations, air pollutants, and weather records from 2013 to 2017 were obtained for Lanzhou, China. Generalized additive model with a quasi-Poisson link was used to model the association between CO and CVD hospitalizations, after controlling for other air pollutants, weather conditions, day of week, long-term trend, influenza and pneumonia incidence. The effects of CO on hospital stays and hospitalization expenses from CVD were also quantified. RESULTS CO concentrations below the current Chinese ambient air quality standard had a significant impact on CVD hospitalizations. Each 1 mg/m3 increase in CO concentration on the present day and previous 4 days (lag 0-4) was associated with an 11% (95% confidence interval: 3%-20%) increase in total CVD hospitalizations. During the study period, CO was responsible for 11.74% of total CVD hospitalizations, equating to 62,792 inpatient days and 149 million RMB. Each adult patient on average spent approximately 5% of annual salary on medicine from CO-related CVD treatment during hospitalization. Maintaining the historical CO concentration within 1 to 3 mg/m3 could avert hundreds of total CVD hospitalizations and save millions of RMB annually in Lanzhou, China. CONCLUSIONS Exposure to low-level ambient CO concentration increased the risk of CVD hospitalizations and resulted in substantial health and economic burdens in Lanzhou, China. Our findings can be used for evidence-based practice and policy making to assess the cost-effectiveness of prevention measures.
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Affiliation(s)
- Jian Cheng
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia
| | - Zhiwei Xu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia
| | - Xiaoru Zhang
- Department of Information, Lanzhou University Second Hospital, Lanzhou, China
| | - Hui Zhao
- Department of Pharmacy, Lanzhou University Second Hospital, Lanzhou, China.
| | - Wenbiao Hu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland, Australia
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Amsalu E, Wang T, Li H, Liu Y, Wang A, Liu X, Tao L, Luo Y, Zhang F, Yang X, Li X, Wang W, Guo X. Acute effects of fine particulate matter (PM 2.5) on hospital admissions for cardiovascular disease in Beijing, China: a time-series study. Environ Health 2019; 18:70. [PMID: 31370900 PMCID: PMC6670159 DOI: 10.1186/s12940-019-0506-2] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 07/12/2019] [Indexed: 05/31/2023]
Abstract
BACKGROUND Air pollution and cardiovascular disease are increasing problems in China. However, the short-term association between fine particulate matter (PM2.5) and cardiovascular disease (CVD) is not well documented. The purpose of this study is to estimate the short-term effects of PM2.5 on CVD admissions in Beijing, China. METHODS In total, 460,938 electronic hospitalization summary reports for CVD between 2013 and 2017 were obtained. A generalized additive model using a quasi-Poisson distribution was used to investigate the association between exposure to PM2.5 and hospitalizations for total and cause-specific CVD, including coronary heart disease (CHD), atrial fibrillation (AF), and heart failure (HF) after controlling for the season, the day of the week, public holidays, and weather conditions. A stratified analysis was also conducted for age (18-64 and ≥ 65 years), sex and season. RESULTS For every 10 μg/m3 increase in the PM2.5 concentration from the previous day to the current (lag 0-1) there was a significant increase in total CVD admissions (0.30, 95% CI: 0.20, 0.39%), with a strong association for older adults (aged ≥65 years), CHD (0.34, 95% CI: 0.22 to 0.45%) and AF (0.29, 95% CI, 0.03 to 0.55%). However, the observed increased risk was not statistically significant for HF hospitalizations. The associations in the single-pollutant models were robust to the inclusion of other pollutants in a two-pollutant model. No differences were found after stratification by sex and season. CONCLUSIONS Exposure to PM2.5 increased the risk of hospitalizations from CVD, especially for CHD, and appeared to have more influence in the elderly. Precautions and protective measures and efforts to reduce exposure to PM2.5 should be strengthened, especially for the elderly.
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Affiliation(s)
- Endawoke Amsalu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Tianqi Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Commission of Health and Family Planning Information Center, Beijing, China
| | - Haibin Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Yue Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Anxin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiangtong Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Lixin Tao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Feng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xinghua Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, Victoria, Australia
| | - Wei Wang
- Global Health and Genomics, School of Medical Sciences and Health, Edith Cowan University, Perth, Western Australia, Australia
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
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Jin X, Ma Q, Sun Z, Yang X, Zhou Q, Qu G, Liu Q, Liao C, Li Z, Jiang G. Airborne Fine Particles Induce Hematological Effects through Regulating the Crosstalk of the Kallikrein-Kinin, Complement, and Coagulation Systems. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:2840-2851. [PMID: 30742439 DOI: 10.1021/acs.est.8b05817] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Particulate air pollution caused by human activities has drawn global attention due to its potential health risks. Considering the inevitable contact of inhaled airborne fine particulate matter (PM) with plasma, the hematological effects of PM are worthy of study. In this study, the potential effect of PM on hematological homeostasis through triggering the crosstalk of the kallikrein-kinin system (KKS), complement, and coagulation systems in plasma was investigated. The ex vivo, in vitro, and in vivo KKS activation assays confirmed that PM samples could efficiently cause the cascade activation of key zymogens in the KKS, wherein the particles coupled with lipopolysaccharide attachment provided substantial contribution. The binding of Hageman factor XII (FXII) with PM samples and its subsequent autoactivation initiated this process. The crucial elements in the complement cascade, including complement 3 (C3) and complement 5 (C5), and coagulation system (prothrombin) were also found to be actively induced by PM exposure, which was regulated by the interplay of KKS activation. The data provided solid evidence on hematological effects of airborne PM through inducing the activation of the KKS, complement, and coagulation systems, which would be valuable in the risk assessment on air-pollution-related cardiovascular diseases.
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Affiliation(s)
- Xiaoting Jin
- State Key Laboratory of Environmental Chemistry and Ecotoxicology , Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085 , PR China
- Institutes of Biomedical Sciences , Shanxi University , Taiyuan 030006 , PR China
| | - Qianchi Ma
- State Key Laboratory of Environmental Chemistry and Ecotoxicology , Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085 , PR China
- College of Resources and Environment , University of Chinese Academy of Sciences , Beijing 100049 , PR China
| | - Zhendong Sun
- State Key Laboratory of Environmental Chemistry and Ecotoxicology , Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085 , PR China
- College of Resources and Environment , University of Chinese Academy of Sciences , Beijing 100049 , PR China
| | - Xuezhi Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology , Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085 , PR China
- College of Resources and Environment , University of Chinese Academy of Sciences , Beijing 100049 , PR China
| | - Qunfang Zhou
- State Key Laboratory of Environmental Chemistry and Ecotoxicology , Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085 , PR China
- College of Resources and Environment , University of Chinese Academy of Sciences , Beijing 100049 , PR China
- Institute of Environment and Health , Jianghan University , Wuhan 430056 , PR China
| | - Guangbo Qu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology , Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085 , PR China
- College of Resources and Environment , University of Chinese Academy of Sciences , Beijing 100049 , PR China
- Institute of Environment and Health , Jianghan University , Wuhan 430056 , PR China
| | - Qian Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology , Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085 , PR China
- College of Resources and Environment , University of Chinese Academy of Sciences , Beijing 100049 , PR China
- Institute of Environment and Health , Jianghan University , Wuhan 430056 , PR China
| | - Chunyang Liao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology , Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085 , PR China
| | - Zhuoyu Li
- Institutes of Biomedical Sciences , Shanxi University , Taiyuan 030006 , PR China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology , Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085 , PR China
- College of Resources and Environment , University of Chinese Academy of Sciences , Beijing 100049 , PR China
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The impact of outdoor air pollutants on outpatient visits for respiratory diseases during 2012-2016 in Jinan, China. Respir Res 2018; 19:246. [PMID: 30541548 PMCID: PMC6292059 DOI: 10.1186/s12931-018-0958-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 11/30/2018] [Indexed: 12/30/2022] Open
Abstract
Background Few studies have investigated the associations between outdoor air pollution and outpatient visits for respiratory diseases (RDs) in general population. Methods We collected daily outpatient data of primary RDs from five hospitals in Jinan during January 2012 and December 2016, as well as daily measurements of air pollutants from the Jinan Environmental Monitoring Center and daily meteorological variables from the China Meteorological Data Sharing Service System. A generalized additive model (GAM) with quasi-Poisson regression was constructed to estimate the associations between daily average concentrations of outdoor air pollutants (PM2.5,PM10, SO2, NO2, CO and O3) and daily outpatient visits of RDs after adjusting for long-time trends, seasonality, the “day of the week” effect, and weather conditions. Subgroup analysis stratified by gender, age group and the type of RDs was conducted. Results A total of 1,373,658 outpatient visits for RDs were identified. Increases of 10 μg/m3 in PM2.5, PM10, NO2, CO and O3 were associated with0.168% (95% CI, 0.072–0.265%), 0.149% (95% CI, 0.082–0.215%), 0.527% (95% CI, 0.211–0.843%), 0.013% (95% CI, 0.003–0.023%), and 0.189% (95% CI, 0.032–0.347%) increases in daily outpatient visits for RDs, respectively. PM2.5 and PM10 showed instant and continuous effects, while NO2, CO and O3 showed delayed effects on outpatient visits for RDs. In stratification analysis, PM2.5 and PM10 were associated with acute RDs only. Conclusions Exposure to outdoor air pollutants including PM2.5, PM10, NO2, CO and O3 associated with increased risk of outpatient visits for RDs. Electronic supplementary material The online version of this article (10.1186/s12931-018-0958-x) contains supplementary material, which is available to authorized users.
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Kang M, Ren L, Ren H, Zhao Y, Kawamura K, Zhang H, Wei L, Sun Y, Wang Z, Fu P. Primary biogenic and anthropogenic sources of organic aerosols in Beijing, China: Insights from saccharides and n-alkanes. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 243:1579-1587. [PMID: 30293040 DOI: 10.1016/j.envpol.2018.09.118] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 09/10/2018] [Accepted: 09/23/2018] [Indexed: 06/08/2023]
Abstract
Sugars and n-alkanes are important organic constituents of atmospheric fine particulate matter (PM2.5). For better understanding their sources and seasonal variations in urban atmosphere, sugar compounds (anhydrosugars, sugars and sugar alcohols) and homologue n-alkanes (C18-C37) were studied in PM2.5 samples collected from September 2013 to July 2014 in Beijing, China. In general, all measured compounds showed the lowest levels in summer. Higher concentrations of sugar compounds and n-alkanes were observed in winter, probably due to elevated combustion emissions (e.g., coal, biofuel and agricultural residue burning) and stable meteorological conditions during heating season. Levoglucosan was the major sugar species in all seasons particularly in autumn and winter, highlighting the significant contribution of biomass burning to fine organic aerosols throughout the whole year especially in cold seasons. Plant waxes contributed to n-alkanes the most in late spring (54.5%) and the least in winter (11.6%); while fossil fuel combustion had the largest contribution in winter (385 ng m-3). The weak odd-carbon predominance of n-alkanes in wintertime aerosols also suggests fossil fuel combustion as the important source of organic aerosols in the heating season. Soil resuspension, fossil fuel combustion and biomass burning, and secondary sources are the main sources of OC in PM2.5 at Beijing. The seasonal variation in source contributions indicates that meteorological condition is a key factor in controlling PM2.5 levels. Furthermore, dust storms in spring can strongly enhance the atmospheric level of fine organic matter in Beijing.
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Affiliation(s)
- Mingjie Kang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Lujie Ren
- Institute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, China
| | - Hong Ren
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; College of Earth Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ye Zhao
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
| | - Kimitaka Kawamura
- Chubu Institute for Advanced Studies, Chubu University, Kasugai, 487-8501, Japan
| | - Hongliang Zhang
- Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - Lianfang Wei
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Yele Sun
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Zifa Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Pingqing Fu
- Institute of Surface-Earth System Science, Tianjin University, Tianjin, 300072, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
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Effects of Ambient Atmospheric PM2.5, 1-Nitropyrene and 9-Nitroanthracene on DNA Damage and Oxidative Stress in Hearts of Rats. Cardiovasc Toxicol 2018; 19:178-190. [DOI: 10.1007/s12012-018-9488-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Zeng W, Zhang Y, Wang L, Wei Y, Lu R, Xia J, Chai B, Liang X. Ambient fine particulate pollution and daily morbidity of stroke in Chengdu, China. PLoS One 2018; 13:e0206836. [PMID: 30399151 PMCID: PMC6219788 DOI: 10.1371/journal.pone.0206836] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 10/18/2018] [Indexed: 01/04/2023] Open
Abstract
Introduction Association has been reported between ambient fine particulate matter (PM) and adverse outcomes of cerebrovascular events. However, it remains unclear that whether short-term exposure to PM relates to stroke and the lag of health effects. This triggers us to examine the relationship between PM and population stroke morbidity in Chengdu. Methods The daily average concentration of atmospheric pollutants and meteorological factors and daily morbidity of stroke in Chengdu (2013–2015) were collected. Based on time series analysis-generalized additive models (GAM), single-pollutant, two-pollutant and multi-pollutant model were established. The effects of atmospheric PM2.5 (defined as PM less than 2.5μm in aerodynamic diameter), PMc(defined as PM less than 10μm and more than 2.5μm in aerodynamic diameter) and PM10 (defined as PM less than 10μm in aerodynamic diameter) concentration on the daily mortality of stroke were analyzed, respectively. Results The three-year mean concentrations of PM2.5, PMc and PM10 for air pollutants were 75.9, 43.9 and 119.7 μg/m3, respectively. PM2.5 on the current day (lag0) and with a moving average of 0–1 days were significantly associated with the increasing risk of stroke morbidity, and PM2.5 with a lag of 0–1 days had greater association, whereas for PMc and PM10 there were no significant association observed. In our study, every 10μg/m3 increase of PM2.5 was associated with 0.69% percent change in stroke morbidity (95%CI: 0.01~1.38). For females, every 10μg/m3 increase of PM2.5 contributes to 0.80% percent change of onset. And for the group of age less than 65, we observed 0.78% higher risk every 10μg/m3 increase of PM2.5. Conclusions These findings suggest that short-term exposure to PM2.5 within 1 day is associated with the onset of stroke, and the younger people (age<65) and females are more sensitive than older people and males.
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Affiliation(s)
- Wei Zeng
- Chengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China
| | - Yingcong Zhang
- Chengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China.,Chengdu High-tech Zone Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China
| | - Liang Wang
- Chengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China
| | - Yonglan Wei
- Chengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China
| | - Rong Lu
- Chengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China
| | - Jinjie Xia
- Chengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China
| | - Bing Chai
- Chengdu Tianfu New Area Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China
| | - Xian Liang
- Chengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China
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da Silveira CG, Di Domenico M, Hilário Nascimento Saldiva P, Ramos Rhoden C. Subchronic air pollution exposure increases highly palatable food intake, modulates caloric efficiency and induces lipoperoxidation. Inhal Toxicol 2018; 30:370-380. [DOI: 10.1080/08958378.2018.1530317] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Caroline Gamalho da Silveira
- Laboratório de Poluição Atmosférica Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
| | - Marlise Di Domenico
- Laboratório de Poluição Atmosférica Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
- Laboratório de Poluição Atmosférica Experimental, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | | | - Cláudia Ramos Rhoden
- Laboratório de Poluição Atmosférica Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
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Qiu H, Yu H, Wang L, Zhu X, Chen M, Zhou L, Deng R, Zhang Y, Pu X, Pan J. The burden of overall and cause-specific respiratory morbidity due to ambient air pollution in Sichuan Basin, China: A multi-city time-series analysis. ENVIRONMENTAL RESEARCH 2018; 167:428-436. [PMID: 30121467 DOI: 10.1016/j.envres.2018.08.011] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 06/29/2018] [Accepted: 08/06/2018] [Indexed: 05/25/2023]
Abstract
Few studies have investigated the respiratory morbidity burden due to ambient air pollution in China, especially in a multi-city setting. This study aimed to estimate the short-term effects of ambient air pollutants (PM10, PM2.5, NO2 and SO2) on hospital admissions (HAs) for overall and cause-specific respiratory diseases, as well as the associated burden in 17 cities of Sichuan Basin, China during 2015-2016. Firstly, city-specific effect estimates for each pollutant on respiratory HAs were obtained using generalized additive model with quasi-Poisson link, and then random- or fixed-effects meta-analysis was applied to pool the effect estimates at the regional level. Subgroup analyses by sex, age, season and region were also performed. A total of 757,712 respiratory HAs were collected from all the tertiary and secondary hospitals located in the 17 cities. Risks of HAs for overall and cause-specific respiratory diseases were elevated following increased PM10, PM2.5, NO2 and SO2 exposure. An increase of 10 μg/m3 in PM10 at lag01, PM2.5 at lag01, NO2 at lag0 and SO2 at lag02 was associated with a 0.43% (95% CI: 0.33%, 0.53%), 0.53% (95% CI: 0.39%, 0.68%), 2.36% (95% CI: 1.75%, 2.98%) and 2.54% (95% CI: 1.51%, 3.59%) increases in total respiratory HAs, respectively. Children (≤ 14 years) and elderly (≥ 65 years) appeared to be more vulnerable to the effects of ambient air pollutants. Comparing to the WHO's air quality guidelines, we estimated that 1.84% (95%CI: 1.42%, 2.25%), 1.73% (95%CI: 1.27%, 2.19%) and 0.34% (95%CI: 0.21%, 0.48%) of respiratory HAs were due to PM10, PM2.5 and SO2 exposure, respectively. This study suggests that air pollution might be an important trigger of respiratory admissions, and result in substantial burden of HAs for respiratory diseases in Sichuan Basin.
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Affiliation(s)
- Hang Qiu
- Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Haiyan Yu
- School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China; Department of Statistics, The Pennsylvania State University, University Park, PA, USA
| | - Liya Wang
- Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China.
| | - Xiaojuan Zhu
- Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Mengdie Chen
- Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Li Zhou
- Health and Family Planning Information Center of Sichuan Province, Chengdu, China
| | - Ren Deng
- Health and Family Planning Information Center of Sichuan Province, Chengdu, China; Sichuan Health Information Association, Chengdu, Sichuan, China
| | - Yanlong Zhang
- Chengdu Shulianyikang Technology Co., Ltd, Chengdu, China
| | - Xiaorong Pu
- Health Big Data Research Institute, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Jingping Pan
- Health and Family Planning Information Center of Sichuan Province, Chengdu, China; Sichuan Health Information Association, Chengdu, Sichuan, China.
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42
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Ambient Particulate Matter Concentrations and Hospital Admissions in 26 of China’s Largest Cities. Epidemiology 2018; 29:649-657. [DOI: 10.1097/ede.0000000000000869] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Yoo EH, Brown P, Eum Y. Ambient air quality and spatio-temporal patterns of cardiovascular emergency department visits. Int J Health Geogr 2018; 17:18. [PMID: 29884205 PMCID: PMC5994043 DOI: 10.1186/s12942-018-0138-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 06/01/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Air pollutants have been associated with various adverse health effects, including increased rates of hospital admissions and emergency room visits. Although numerous time-series studies and case-crossover studies have estimated associations between day-to-day variation in pollutant levels and mortality/morbidity records, studies on geographic variations in emergency department use and the spatial effects in their associations with air pollution exposure are rare. METHODS We focused on the elderly who visited emergency room for cardiovascular related disease (CVD) in 2011. Using spatially and temporally resolved multi-pollutant exposures, we investigated the effect of short-term exposures to ambient air pollution on emergency department utilization. We developed two statistical models with and without spatial random effects within a hierarchical Bayesian framework to capture the spatial heterogeneity and spatial autocorrelation remaining in emergency department utilization. RESULTS Although the cardiovascular effect of spatially homogeneous pollutants, such as PM2.5 and ozone, was unchanged, we found the cardiovascular effect of NO[Formula: see text] was pronounced after accounting for the spatially correlated structure in emergency department utilization. We also identified areas with high ED utilization for CVD among the elderly and assessed the uncertainty associated with risk estimates. CONCLUSIONS We assessed the short-term effect of multi-pollutants on cardiovascular risk of the elderly and demonstrated the use of community multiscale air quality model-derived spatially and temporally resolved multi-pollutant exposures to an epidemiological study. Our results indicate that NO[Formula: see text] was significantly associated with the elevated ED utilization for CVD among the elderly.
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Affiliation(s)
- Eun-Hye Yoo
- Department of Geography, University at Buffalo, Buffalo, NY, USA.
| | - Patrick Brown
- Department of Statistical Sciences, University of Toronto, Toronto, Canada
| | - Youngseob Eum
- Department of Geography, University at Buffalo, Buffalo, NY, USA
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Wei T, Tang M. Biological effects of airborne fine particulate matter (PM 2.5) exposure on pulmonary immune system. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2018; 60:195-201. [PMID: 29734103 DOI: 10.1016/j.etap.2018.04.004] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 04/02/2018] [Accepted: 04/03/2018] [Indexed: 05/21/2023]
Abstract
Airborne fine particulate matter (PM2.5) attracts more and more attention due to its environmental effects. The immune system appears to be a most sensitive target organ for the environmental pollutants. Inhaled PM2.5 can deposit in different compartments in the respiratory tract and interact with epithelial cells and resident immune cells. Exposed to PM2.5 can induce local or systematic inflammatory responses. This review focus on the effects of respiratory tract exposed to PM2.5. Firstly, we introduced the major emission sources, basic characteristics of PM2.5 and discussed its immunoadjuvant potential. Secondly, we elaborated the immune cells in the respiratory tract and the deposition of PM2.5 regarding the structural characteristics of the respiratory tract. Furthermore, we summarized the in vivo/vitro studies that revealed the immunotoxic effects of PM2.5 exposure to pulmonary cellular effectors and explored the contribution of PM2.5 exposure to the Th1/Th2 balance.
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Affiliation(s)
- Tingting Wei
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education, School of Public Health, & Collaborative Innovation Center of Suzhou Nano Science and Technology, Southeast University, Nanjing 210009, PR China; Jiangsu key Laboratory for Biomaterials and Devices, Southeast University, Nanjing 210009, PR China
| | - Meng Tang
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education, School of Public Health, & Collaborative Innovation Center of Suzhou Nano Science and Technology, Southeast University, Nanjing 210009, PR China; Jiangsu key Laboratory for Biomaterials and Devices, Southeast University, Nanjing 210009, PR China.
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45
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Wang H, Shen X, Tian G, Shi X, Huang W, Wu Y, Sun L, Peng C, Liu S, Huang Y, Chen X, Zhang F, Chen Y, Ding W, Lu Z. AMPKα2 deficiency exacerbates long-term PM 2.5 exposure-induced lung injury and cardiac dysfunction. Free Radic Biol Med 2018; 121:202-214. [PMID: 29753072 DOI: 10.1016/j.freeradbiomed.2018.05.008] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 05/07/2018] [Accepted: 05/08/2018] [Indexed: 12/22/2022]
Abstract
Previous studies have demonstrated that long-term exposure to fine particulate matter (PM2.5) increases the risk of respiratory and cardiovascular diseases. As a metabolic sensor, AMP-activated protein kinase (AMPK) is a promising target for cardiovascular disease. However, the impact of AMPK on the adverse health effects of PM2.5 has not been investigated. In this study, we exposed wild-type (WT) and AMPKα2-/- mice to either airborne PM2.5 (mean daily concentration ~64 µg/m3) or filtered air for 6 months through a whole-body exposure system. After exposure, AMPKα2-/- mice developed severe lung injury and left ventricular dysfunction. In the PM2.5-exposed lungs and hearts, loss of AMPKα2 resulted in higher levels of fibrotic genes, more collagen deposition, lower levels of peroxiredoxin 5 (Prdx5), and greater induction of oxidative stress and inflammation than observed in the lungs and hearts of WT mice. In PM2.5-exposed BEAS-2B and H9C2 cells, inhibition of AMPK activity significantly decreased cell viability and Prdx5 expression, and increased the intracellular ROS and p-NF-κB levels. Collectively, our results provide the first direct evidence that AMPK has a marked protective effect on the adverse health effects induced by long-term PM2.5 exposure. Our findings suggest that strategies to increase AMPK activity may provide a novel approach to attenuate air pollution associated disease.
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Affiliation(s)
- Hongyun Wang
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiyue Shen
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guoxiong Tian
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xili Shi
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Huang
- Institute for Environmental Reference Materials of Ministry of Environmental Protection, Beijing 100029, China
| | - Yongguang Wu
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lei Sun
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Can Peng
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Shasha Liu
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying Huang
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyu Chen
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fang Zhang
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yingjie Chen
- Cardiovascular Division and Lillehei Heart Institute; University of Minnesota, Minneapolis, MN 55455, USA
| | - Wenjun Ding
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Zhongbing Lu
- College of Life Science, University of Chinese Academy of Sciences, Beijing 100049, China.
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Li R, Zhou R, Zhang J. Function of PM2.5 in the pathogenesis of lung cancer and chronic airway inflammatory diseases. Oncol Lett 2018; 15:7506-7514. [PMID: 29725457 DOI: 10.3892/ol.2018.8355] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 02/28/2018] [Indexed: 12/14/2022] Open
Abstract
Previous research has identified that air pollution is associated with various respiratory diseases, but few studies have investigated the function served by particulate matter 2.5 (PM2.5) in these diseases. PM2.5 is known to cause epigenetic and microenvironmental alterations in lung cancer, including tumor-associated signaling pathway activation mediated by microRNA dysregulation, DNA methylation, and increased levels of cytokines and inflammatory cells. Autophagy and apoptosis of tumor cells may also be detected in lung cancer associated with PM2.5 exposure. A number of mechanisms are involved in triggering and aggravating asthma and COPD, including PM2.5-induced cytokine release and oxidative stress. The present review is an overview of the underlying molecular mechanisms of PM2.5-induced pathogenesis in lung cancer and chronic airway inflammatory diseases.
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Affiliation(s)
- Ruyi Li
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China
| | - Rui Zhou
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China
| | - Jiange Zhang
- Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, P.R. China
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Yang WY, Zhang ZY, Thijs L, Bijnens EM, Janssen BG, Vanpoucke C, Lefebvre W, Cauwenberghs N, Wei FF, Luttun A, Verhamme P, Van Hecke E, Kuznetsova T, D'hooge J, Nawrot TS, Staessen JA. Left ventricular function in relation to chronic residential air pollution in a general population. Eur J Prev Cardiol 2017; 24:1416-1428. [PMID: 28617090 PMCID: PMC5574492 DOI: 10.1177/2047487317715109] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Background In view of the increasing heart failure epidemic and awareness of the adverse impact of environmental pollution on human health, we investigated the association of left ventricular structure and function with air pollutants in a general population. Methods In 671 randomly recruited Flemish (51.7% women; mean age, 50.4 years) we echocardiographically assessed left ventricular systolic strain and strain rate and the early and late peak velocities of transmitral blood flow and mitral annular movement (2005−2009). Using subject-level data, left ventricular function was cross-sectionally correlated with residential long-term exposure to air pollutants, including black carbon, PM2.5, PM10 (particulate matter) and nitrogen dioxide (NO2), while accounting for clustering by residential address and confounders. Results Annual exposures to black carbon, PM2.5, PM10 and NO2 averaged 1.19, 13.0, 17.7, and 16.8 µg/m3. Systolic left ventricular function was worse (p ≤ 0.027) with higher black carbon, PM2.5, PM10 and NO2 with association sizes per interquartile interval increment ranging from −0.339 to −0.458% for longitudinal strain and from −0.033 to −0.049 s−1 for longitudinal strain rate. Mitral E and a′ peak velocities were lower (p ≤ 0.021) with higher black carbon, PM2.5 and PM10 with association sizes ranging from −1.727 to −1.947 cm/s and from −0.175 to −0.235 cm/s, respectively. In the geographic analysis, the systolic longitudinal strain sided with gradients in air pollution. The path analysis identified systemic inflammation as a possible mediator of associations with black carbon. Conclusions Long-term low-level air pollution is associated with subclinical impairment of left ventricular performance and might be a risk factor for heart failure.
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Affiliation(s)
- Wen-Yi Yang
- 1 Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Faculty of Medicine, University of Leuven, Belgium
| | - Zhen-Yu Zhang
- 1 Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Faculty of Medicine, University of Leuven, Belgium
| | - Lutgarde Thijs
- 1 Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Faculty of Medicine, University of Leuven, Belgium
| | - Esmée M Bijnens
- 2 Centre for Environmental Sciences, Hasselt University, Belgium
| | - Bram G Janssen
- 2 Centre for Environmental Sciences, Hasselt University, Belgium
| | | | - Wouter Lefebvre
- 4 Flemish Institute for Technological Research, Mol, Belgium
| | - Nicholas Cauwenberghs
- 1 Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Faculty of Medicine, University of Leuven, Belgium
| | - Fang-Fei Wei
- 1 Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Faculty of Medicine, University of Leuven, Belgium
| | - Aernout Luttun
- 5 Centre for Molecular and Vascular Biology, KU Leuven Department of Cardiovascular Sciences, Faculty of Medicine, University of Leuven, Belgium
| | - Peter Verhamme
- 5 Centre for Molecular and Vascular Biology, KU Leuven Department of Cardiovascular Sciences, Faculty of Medicine, University of Leuven, Belgium
| | - Etienne Van Hecke
- 6 Division of Geography and Tourism, Faculty of Science, University of Leuven, Belgium
| | - Tatiana Kuznetsova
- 1 Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Faculty of Medicine, University of Leuven, Belgium
| | - Jan D'hooge
- 7 Laboratory on Cardiovascular Imaging and Dynamics, KU Leuven Department of Cardiovascular Sciences, Faculty of Medicine, University of Leuven, Belgium
| | - Tim S Nawrot
- 2 Centre for Environmental Sciences, Hasselt University, Belgium
| | - Jan A Staessen
- 1 Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Faculty of Medicine, University of Leuven, Belgium.,8 R&D Group VitaK, Maastricht University, The Netherlands
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Hu LW, Lawrence WR, Liu Y, Yang BY, Zeng XW, Chen W, Dong GH. Ambient Air Pollution and Morbidity in Chinese. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 1017:123-151. [PMID: 29177961 DOI: 10.1007/978-981-10-5657-4_6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The rapid economic growth in China is coupled with a severe ambient air pollution, which poses a huge threat to human health and the sustainable development of social economy. The rapid urbanization and industrialization over the last three decades have placed China as one of countries with the greatest disease burden in world. Notably, the prevalence rate of chronic noncommunicable diseases (CND), including respiratory diseases, CVD, and stroke, in 2010 reaches 16.9%. The continuous growth of the incidence of CND urgent needs for effective regulatory action for health protection. This study aims to evaluate the impact of rapid urbanization on status of ambient air pollution and associated adverse health effects on the incidence and the burden of CND and risk assessment. Our findings would be greatly significant in the prediction of the risk of ambient air pollution on CND and for evidence-based policy making and risk management in China.
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Affiliation(s)
- Li-Wen Hu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China
| | - Wayne R Lawrence
- Department of Epidemiology and Biostatistics, School of Public Health, State University of New York, Albany, NY, 12144-3445, USA
| | - Yimin Liu
- Laboratory of Occupational Environment and Health Effects, Guangzhou Key Medical Discipline of Occupational Health Guardianship, Guangzhou Prevention and Treatment Center for Occupational Diseases, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Bo-Yi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China
| | - Xiao-Wen Zeng
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China
| | - Wen Chen
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, 510080, Guangdong, China.
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