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Yue J, Zhang J, He Q, Jiang T, Li D. The declining effectiveness of air quality index in China: A perspective of air pollution alert system. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2025; 373:123517. [PMID: 39626383 DOI: 10.1016/j.jenvman.2024.123517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 10/06/2024] [Accepted: 11/27/2024] [Indexed: 01/15/2025]
Abstract
Since 2013, the air quality in China has improved dramatically. However, the regulatory standard as defined in air quality index (AQI) is still the one introduced in 2012. To evaluate the gap between reality and regulation, we study the effectiveness of China's AQI from the perspective of air pollution alert, a system that reflects AQI standard directly. Specifically, based on the respiratory hospitalization data in Chengdu and three models for potential nonlinearity between air pollution and hospitalization, we assess the percentages of hospitalization that can get alerted by the different categories of AQI. We find that while the total hospitalization due to air pollution declined fast due to reduced air pollution, the percentages of hospitalization that can get alerted by different categories of AQI declined faster, resulting in an AQI system that is progressively less binding and effective. Further, we show that a counterfactual tighter standard will bring China's AQI standard closer to international ones, and reverse AQI's declining effectiveness.
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Affiliation(s)
- Jiahui Yue
- Research Institute of Economics and Management, Southwestern University of Finance and Economics, Sichuan, China.
| | - Jin Zhang
- Research Institute of Economics and Management, Southwestern University of Finance and Economics, Sichuan, China.
| | - Qingyue He
- Center for Health Care Management, Chengdu Integrated TCM & Western Medicine Hospital, Sichuan, China.
| | - Tao Jiang
- Research Institute of Economics and Management, Southwestern University of Finance and Economics, Sichuan, China.
| | - Ding Li
- School of Public Administration, Southwestern University of Finance and Economics, Sichuan, China.
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Li J, Liu Q, Tian Z, Wang J, Zhang Y, Cheng X, Wang Y, Wang H, Guo X, Li H, Sun L, Hu B, Zhang D, Liang C, Sheng J, Tao F, Chen G, Yang L. The interaction between physical activity and ambient particulate matters on cognitive function among Chinese community-dwelling older adults. J Affect Disord 2024; 363:391-400. [PMID: 39029694 DOI: 10.1016/j.jad.2024.07.108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 06/21/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND The interaction between physical activity (PA) and ambient particulate matters (PMs) on cognition is rarely investigated. Our study aimed to assess the interactions of PA and PMs on cognitive function in older adults. METHODS Our study comprised 3937 Chinese community-dwelling older adults. Cognition was evaluated using the Mini-Mental State Examination. PA information was gathered using the International Physical Activity Questionnaire. The data of PMs were obtained from China High Air Pollutants (CHAP). Linear regressions model and interaction plots were applied to assess and visualize the interaction of PA and PMs on cognition, respectively. Bayesian kernel machine regression (BKMR) method was employed to visualize discernible thresholds for the interaction. RESULTS PMs were negatively associated with MMSE scores (PM1: β = -0.40, 95 % CI: -0.58, -0.28; PM2.5: β = -0.46, 95 % CI: -0.64, -0.29; PM10: β = -0.44, 95 % CI: -0.61, -0.26), and PA was positively affiliated with MMSE scores (β = 0.18, 95 % CI: -0.01, 0.38). Interaction plots and BKMR demonstrated that adverse connotations of PMs with MMSE increased with the elevated PA levels, and the positive associations of PA with MMSE scores were attenuated by increased PMs (all Pinteraction < 0.20). Discernible thresholds for the interaction between PMs and PA on MMSE were found. CONCLUSIONS Our findings suggest that PA should not be taken at higher PMs concentrations, and that low level of PA could be performed in PMs polluted environment to improve cognitive function. Further experimental and cohort researches are required to reproduce our discovery.
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Affiliation(s)
- Junzhe Li
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Qiang Liu
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Ziwei Tian
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Jun Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Yan Zhang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Xuqiu Cheng
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Yuan Wang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Hongli Wang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Huaibiao Li
- Fuyang Center for Diseases Prevention and Control, Fuyang 236069, Anhui, China
| | - Liang Sun
- Fuyang Center for Diseases Prevention and Control, Fuyang 236069, Anhui, China
| | - Bing Hu
- Fuyang Center for Diseases Prevention and Control, Fuyang 236069, Anhui, China
| | - Dongmei Zhang
- School of Health Services Management, Anhui Medical University, Hefei 230032, Anhui, China
| | - Chunmei Liang
- Department of Hygiene Inspection and Quarantine, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Jie Sheng
- Scientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China
| | - Fangbiao Tao
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei 230032, Anhui, China
| | - Guimei Chen
- School of Health Services Management, Anhui Medical University, Hefei 230032, Anhui, China
| | - Linsheng Yang
- Department of Epidemiology and Health Statistics, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei 230032, Anhui, China.
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Antaya TC, Espino-Alvarado PH, Oiamo T, Wilk P, Speechley KN, Burneo JG. Association of outdoor air and noise pollution with unprovoked seizures and new onset epilepsy: A systematic review and meta-analysis. Epilepsia 2024; 65:1847-1867. [PMID: 38776166 DOI: 10.1111/epi.18010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/29/2024] [Accepted: 04/30/2024] [Indexed: 05/24/2024]
Abstract
Research has indicated that certain environmental exposures may increase the risk of unprovoked seizures and new onset epilepsy. This study aimed to synthesize the literature that has estimated the associations between short- and long-term exposure to outdoor air and noise pollution and the risk of unprovoked seizures and new onset epilepsy. We searched Embase, MEDLINE, Scopus, Web of Science, BIOSIS Previews, Latin American and Caribbean Health Sciences Literature, Proquest Dissertations and Theses, conference abstracts, and the gray literature and conducted citation tracing in June 2023. Observational and ecological studies assessing the associations of air and noise pollution with unprovoked seizures or new onset epilepsy were eligible. One reviewer extracted summary data. Using fixed and random effects models, we calculated the pooled risk ratios (RRs) for the studies assessing the associations between short-term exposure to air pollution and unprovoked seizures. Seventeen studies were included, 16 assessing the association of air pollution with seizures and one with epilepsy. Eight studies were pooled quantitatively. Ozone (O3; RR = .99, 95% confidence interval [CI] = .99-.99) and nitrogen dioxide (NO2) exposure adjusted for particulate matter (RR = 1.02, 95% CI = 1.01-1.02) on the same day, and carbon monoxide (CO) exposure 2 days prior (RR = 1.12, 95% CI = 1.02-1.22), were associated with seizure risk. A single study of air pollution and epilepsy did not report a significant association. The risk of bias and heterogeneity across studies was moderate or high. Short-term exposure to O3, NO2, and CO may affect the risk of seizures; however, the effect estimates for O3 and NO2 were minimal. Additional research should continue to explore these and the associations between outdoor air pollution and epilepsy and between noise pollution and seizures and epilepsy.
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Affiliation(s)
- Tresah C Antaya
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Neuroepidemiology Research Unit, Western University, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
| | - Poul H Espino-Alvarado
- Lawson Health Research Institute, London, Ontario, Canada
- Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Tor Oiamo
- Department of Geography and Environmental Studies, Toronto Metropolitan University, Toronto, Ontario, Canada
| | - Piotr Wilk
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
- Department of Paediatrics, Western University, London, Ontario, Canada
| | - Kathy N Speechley
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
- Department of Paediatrics, Western University, London, Ontario, Canada
| | - Jorge G Burneo
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Neuroepidemiology Research Unit, Western University, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
- Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada
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Feng Q, Chen Y, Su S, Zhang X, Lin X. Acute effect of fine particulate matter and respiratory mortality in Changsha, China: a time-series analysis. BMC Pulm Med 2022; 22:416. [PMID: 36368963 PMCID: PMC9652800 DOI: 10.1186/s12890-022-02216-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 11/02/2022] [Indexed: 11/13/2022] Open
Abstract
Background Previous studies have confirmed that exposure to fine particulate matter (PM2.5) is associated with respiratory disease mortality. However, due to the differences in PM2.5 concentration, composition and population susceptibility within different regions, the estimates of the association between PM2.5 concentration and mortality are different. Moreover, few studies have examined the potential hazard of excessive PM2.5 exposure in terms of respiratory disease mortality. Methods Daily recorded data on meteorological indices, environmental pollutants, and causes of death data in Changsha from January 2015 to December 2018 were obtained. The potential relationship between PM2.5 concentrations and respiratory disease mortality was determined using distributed lag nonlinear model (DLNM), which includes the relative risk (RR) and cumulative relative risk (CRR) of the lagged effect. The synergistic effects of other air pollutants were also considered. Results A total of 8,825 cases of respiratory disease mortality occurred in Changsha between 2015 and 2018. The acute effect of PM2.5 concentration was associated with an increased risk of respiratory disease mortality. Regarding the lag specific effect, a 10 μg/m3 increase in PM2.5 concentration on respiratory disease mortality was statistically significant at lag day 0 and lag day 7 with a relative risk of 1.019 (95% CI 1.007- 1.031) and 1.013(95%CI: 1.002-1.024). As for the cumulative lag effect, a 4-day moving average of PM2.5 concentrations was significantly associated with a cumulative relative risk of 1.027 (95%CI: 1.011-1.031). The single-day lag effect and cumulative 4-day lag effect for male individuals were more significant than those observed in females. The effect of PM2.5 concentrations and respiratory disease mortality remained statistically significant in the multi-pollutant models (SO2, NO2, and O3). A higher risk was observed in the cold season than in the warm season. Conclusions Our findings show a potential association between exposure to PM2.5 concentration and respiratory disease mortality in Changsha, with male individuals observed to have particularly higher risk.
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Wang T, Wang Y, Cui N. Traffic costs of air pollution: the effect of PM 2.5 on traffic violation. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:72699-72717. [PMID: 35614355 DOI: 10.1007/s11356-022-20790-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 05/09/2022] [Indexed: 06/15/2023]
Abstract
Although emerging studies have investigated the effect of air pollution on traffic crashes, it is unclear to scholars whether air pollution affects another road safety problem-traffic violations. To address this gap, the current paper constructs a data set from 1,390,221 traffic violation records of 640,971 drivers from the Wuhan Traffic Management Bureau between January 2018 and December 2018. An ordered logistic regression was conducted to verify our hypotheses. The result shows that PM2.5 has no overall impact on the severity of traffic violations, but each 1% increase in the daily concentration of PM2.5 leads to a 1.02-fold increase in the odds of serious inexperience-related violations and a 0.99-fold decrease in the odds of serious overconfidence-related violations. This effect is the strongest in PM2.5, followed by NO2, and has not been observed in CO and O3. In addition, robustness tests indicate that the relationship between air pollution and traffic violations is consistent among the different subsets (e.g., clear weather, no rain and snow, and good visibility). We also provide valuable practical advice for drivers and traffic authorities.
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Affiliation(s)
- Tao Wang
- School of Economics and Management, Wuhan University, Wuhan, People's Republic of China
- Research Center For Organizational Marketing of Wuhan University, Wuhan University, Wuhan, People's Republic of China
| | - Yu Wang
- School of Economics and Management, Wuhan University, Wuhan, People's Republic of China.
| | - Nan Cui
- School of Economics and Management, Wuhan University, Wuhan, People's Republic of China
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Ye T, Guo S, Xie Y, Chen Z, Abramson MJ, Heyworth J, Hales S, Woodward A, Bell M, Guo Y, Li S. Health and related economic benefits associated with reduction in air pollution during COVID-19 outbreak in 367 cities in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 222:112481. [PMID: 34229169 PMCID: PMC8241793 DOI: 10.1016/j.ecoenv.2021.112481] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 06/24/2021] [Accepted: 06/28/2021] [Indexed: 05/17/2023]
Abstract
Due to the COVID-19 outbreak, the Chinese government implemented nationwide traffic restrictions and self-quarantine measures from January 23 to April 8 (in Wuhan), 2020. We estimated how these measures impacted ambient air pollution and the subsequent consequences on health and the health-related economy in 367 Chinese cities. A random forests modeling was used to predict the business-as-usual air pollution concentrations in 2020, after adjusting for the impact of long-term trend and weather conditions. We calculated changes in mortality attributable to reductions in air pollution in early 2020 and health-related economic benefits based on the value of statistical life (VSL). Compared with the business-as-usual scenario, we estimated 1239 (95% CI: 844-1578) PM2.5-related deaths were avoided, as were 2777 (95% CI: 1565-3995) PM10-related deaths, 1587 (95% CI: 98-3104) CO-related deaths, 4711 (95% CI: 3649-5781) NO2-related deaths, 215 (95% CI: 116-314) O3-related deaths, and 1088 (95% CI: 774-1421) SO2-related deaths. Based on the reduction in deaths, economic benefits for in PM2.5, PM10, CO, NO2, O3, and SO2 were 1.22, 2.60, 1.36, 4.05, 0.20, and 0.95 billion USD, respectively. Our findings demonstrate the substantial benefits in human health and health-related costs due to improved urban air quality during the COVID lockdown period in China in early 2020.
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Affiliation(s)
- Tingting Ye
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia; School of Public Health and Management, Binzhou Medical University, Yantai, Shandong 264003, China
| | - Suying Guo
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); NHC Key Laboratory of Parasite and Vector Biology (National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention), Shanghai 200025, China
| | - Yang Xie
- School of Economics and Management, Beihang University, Beijing 100191, China; Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Beihang University, Beijing 100191, China
| | - Zhaoyue Chen
- Barcelona Institute for Global Health (ISGlobal), Barcelona 08003, Spain
| | - Michael J Abramson
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Jane Heyworth
- School of Population and Global Health, The University of Western Australia, Crawley, WA 6009, Australia
| | - Simon Hales
- Department of Public Health, University of Otago, Wellington, Otago 9016, New Zealand
| | - Alistair Woodward
- School of Population Health, University of Auckland, Auckland 1010, New Zealand
| | - Michelle Bell
- School of the Environment, Yale University, New Haven, CT 06520, USA
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia; School of Public Health and Management, Binzhou Medical University, Yantai, Shandong 264003, China.
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia.
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Wu M, Lu J, Yang Z, Wei F, Shen P, Yu Z, Tang M, Jin M, Lin H, Chen K, Wang J. Ambient air pollution and hospital visits for peptic ulcer disease in China: A three-year analysis. ENVIRONMENTAL RESEARCH 2021; 196:110347. [PMID: 33130162 DOI: 10.1016/j.envres.2020.110347] [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: 07/17/2020] [Revised: 09/14/2020] [Accepted: 10/15/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Peptic ulcer disease (PUD) continued to be a source of significant morbidity and mortality worldwide. Recently, it has been reported that exposure to air pollution is a potential risk factor for PUD, but evidence on the association still remains inconsistent. METHODS We performed an ecological study to examine the association between short-term exposure to air pollution and daily hospital visits for PUD in Yinzhou, China from January 1st, 2017 to December 31st, 2019. Distributed lag nonlinear models were used to estimate the nonlinear and lag-response effects of air pollutants. Subgroup analyses stratified by sex, age and season were conducted to examine the effect modifications. RESULTS Overall, we found that short-term exposure to air pollution including SO2, NO2, CO, O3 and PM2.5 was significantly associated with hospital visits for PUD among all subjects. The lag-response effects of SO2, NO2 and O3 varied at different concentrations and lag days. The cumulative risk ratios of CO and PM2.5 showed nearly linear adverse effects and increased to maxima of 2.68 (95% CI: 1.49-4.78) and 2.40 (95% CI: 1.36-4.24) with their ranges from the references to the maximum concentrations, respectively. Moreover, the cumulative risks of particulate matters on hospital visits for PUD increased significantly in cold seasons, but not in warm seasons. CONCLUSIONS Our findings could provide growing evidence regarding the adverse health effects of air pollution on PUD, thereby strengthening the hypothesis that air pollutants have harmful impacts on digestive system.
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Affiliation(s)
- Mengyin Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Jieming Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Zongming Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Fang Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Peng Shen
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China
| | - Zhebin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Mengling Tang
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, China
| | - Mingjuan Jin
- Cancer Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hongbo Lin
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China
| | - Kun Chen
- Cancer Institute, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jianbing Wang
- Department of Epidemiology and Biostatistics, The Children's Hospital, National Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China.
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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: 4.6] [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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