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Fang B, Wei J, Chen L, Jin S, Li Q, Cai R, Qian N, Gu Z, Chen L, Santon R, Wang C, Song W. Short-term association of particulate matter and cardiovascular disease mortality in Shanghai, China between 2003 and 2020. Front Public Health 2024; 12:1388069. [PMID: 38651122 PMCID: PMC11034551 DOI: 10.3389/fpubh.2024.1388069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 03/18/2024] [Indexed: 04/25/2024] Open
Abstract
Objective Evidence regarding the effects of particulate matter (PM) pollutants on cardiovascular disease (CVD) mortality remains limited in Shanghai, China. Our objective was to thoroughly evaluate associations between PM pollutants and CVD mortality. Methods Daily data on CVD mortality, PM (PM10 and PM2.5) pollutants, and meteorological variables in Shanghai, China were gathered from 2003 to 2020. We utilized a time-series design with the generalized additive model to assess associations between PM pollutants and CVD mortality. Additionally, we conducted stratified analyses based on sex, age, education, and seasons using the same model. Results We found that PM pollutants had a significant association with CVD mortality during the study period. Specifically, there was a 0.29% (95%CI: 0.14, 0.44) increase in CVD mortality for every 10 μg/m3 rise in a 2-day average (lag01) concentration of PM10. A 0.28% (95% CI: 0.07, 0.49) increase in CVD mortality was associated with every 10 μg/m3 rise in PM2.5 concentration at lag01. Overall, the estimated effects of PM10 and PM2.5 were larger in the warm period compared with the cold period. Furthermore, males and the older adult exhibited greater susceptibility to PM10 and PM2.5 exposure, and individuals with lower education levels experienced more significant effects from PM10 and PM2.5 than those with higher education levels. Conclusion Our findings suggested that PM pollutants have a substantial impact on increasing CVD mortality in Shanghai, China. Moreover, the impacts of air pollution on health may be altered by factors such as season, sex, age, and educational levels.
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Affiliation(s)
- Bo Fang
- School of Public Health, Fudan University, Shanghai, China
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
| | - Lei Chen
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Shan Jin
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Qi Li
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Renzhi Cai
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Naisi Qian
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Zhen Gu
- Vital Strategies, Shanghai, China
| | - Lei Chen
- Vital Strategies, Shanghai, China
| | | | - Chunfang Wang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Weimin Song
- School of Public Health, Fudan University, Shanghai, China
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Sun W, Han X, Cao M, Pan Z, Guo J, Huang D, Mi J, Liu Y, Guan T, Li P, Huang C, Wang M, Xue T. Middle-term nitrogen dioxide exposure and electrocardiogram abnormalities: A nationwide longitudinal study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 266:115562. [PMID: 37866032 DOI: 10.1016/j.ecoenv.2023.115562] [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: 07/19/2023] [Revised: 10/03/2023] [Accepted: 10/07/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Recently, professionals, such as those from the World Health Organization, have recommended a rigorous standard for nitrogen dioxide (NO2), a typical urban air pollutant affected by regular traffic emissions, based on its short-term and long-term cardiorespiratory effects. However, the association between middle-term NO2 exposure and cardiovascular disorders remains unknown. OBJECTIVES This study was conducted to examine the relationship between NO2 exposure and its middle-term cardiovascular risks indicated by electrocardiogram (ECG) abnormalities. METHOD We included 61,094 subjects (132,249 visits) with repeated ECG observations based on longitudinal data from the China National Stroke Screening Survey (CNSSS). The NO2 exposure concentration was derived from a predictive model, measured as the monthly average concentration in the 6 months of preceding the ECG measurement. We used the generalized estimation equation to assess the association between NO2 exposure and ECG abnormalities. RESULT For each 10 µg/m3 increase in monthly average NO2 concentration, the odds ratio of ECG abnormalities was 1.10 (95% confidence interval [CI] 1.09-1.12) after multiple adjustments. Stratified regression analyses of urban and rural residents showed associations between middle-term NO2 exposure and ECG abnormalities in urban (OR 1.09 [95% CI 1.08-1.11]) and rural residents (OR 1.14 [95% CI 1.10-1.19]). The association was robust within different subpopulations. Associations generally remained statistically significant (OR 1.03 [95% CI 1.02-1.05]) after extra adjustment for PM2.5. Exposure-response relationship analysis revealed a nearly linear relationship between NO2 exposure and the risk for ECG abnormalities. CONCLUSION Using the variation in ECG signals as a potentially reversible indicator for subclinical risk in cardiovascular systems, our study provides additional evidence on the increased risk posed by middle-term NO2 exposure. Our study showed that policies controlling for NO2 concentrations are beneficial to prevent cardiovascular diseases among Chinese adults.
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Affiliation(s)
- Wei Sun
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Xueyan Han
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Man Cao
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Zhaoyang Pan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jian Guo
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Dengmin Huang
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jiarun Mi
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Tianjia Guan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
| | - Pengfei Li
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing 100191, China
| | - Conghong Huang
- College of Land Management, Nanjing Agricultural University, Nanjing 210095, China
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14214, United States
| | - Tao Xue
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing 100191, China; Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China.
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Mazeli MI, Pahrol MA, Abdul Shakor AS, Kanniah KD, Omar MA. Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 874:162130. [PMID: 36804978 DOI: 10.1016/j.scitotenv.2023.162130] [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: 12/07/2022] [Revised: 01/14/2023] [Accepted: 02/05/2023] [Indexed: 06/18/2023]
Abstract
In 2016, the World Health Organization (WHO) estimated that approximately 4.2 million premature deaths worldwide were attributable to exposure to particulate matter 2.5 μm (PM2.5). This study assessed the environmental burden of disease attributable to PM2.5 at the national level in Malaysia. We estimated the population-weighted exposure level (PWEL) of PM10 concentrations in Malaysia for 2000, 2008, and 2013 using aerosol optical density (AOD) data from publicly available remote sensing satellite data (MODIS Terra). The PWEL was then converted to PM2.5 using Malaysia's WHO ambient air conversion factor. We used AirQ+ 2.0 software to calculate all-cause (natural), ischemic heart disease (IHD), stroke, chronic obstructive pulmonary disease (COPD), lung cancer (LC), and acute lower respiratory infection (ALRI) excess deaths from the National Burden of Disease data for 2000, 2008 and 2013. The average PWELs for annual PM2.5 for 2000, 2008, and 2013 were 22 μg m-3, 18 μg m-3 and 24 μg m-3, respectively. Using the WHO 2005 Air Quality Guideline cut-off point of PM2.5 of 10 μg m-3, the estimated excess deaths for 2000, 2008, and 2013 from all-cause (natural) mortality were between 5893 and 9781 (95 % CI: 3347-12,791), COPD was between 164 and 957 (95 % CI: 95-1411), lung cancer was between 109 and 307 (95 % CI: 63-437), IHD was between 3 and 163 deaths, according to age groups (95 % CI: 2-394) and stroke was between 6 and 155 deaths, according to age groups (95 % CI: 3-261). An increase in estimated health endpoints was associated with increased estimated PWEL PM2.5 for 2013 compared to 2000 and 2008. Adhering the ambient PM2.5 level to the Malaysian Air Quality Standard IT-2 would reduce the national health endpoints mortality.
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Affiliation(s)
- Mohamad Iqbal Mazeli
- Environmental Health Research Centre, Institute for Medical Research, National Institute of Health Malaysia, Ministry of Health Malaysia, 40170 Shah Alam, Selangor Darul Ehsan, Malaysia.
| | - Muhammad Alfatih Pahrol
- Environmental Health Research Centre, Institute for Medical Research, National Institute of Health Malaysia, Ministry of Health Malaysia, 40170 Shah Alam, Selangor Darul Ehsan, Malaysia.
| | - Ameerah Su'ad Abdul Shakor
- Environmental Health Research Centre, Institute for Medical Research, National Institute of Health Malaysia, Ministry of Health Malaysia, 40170 Shah Alam, Selangor Darul Ehsan, Malaysia.
| | - Kasturi Devi Kanniah
- Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia; Centre for Environmental Sustainability and Water Security (IPASA), Research Institute for Sustainable Environment (RISE), Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.
| | - Mohd Azahadi Omar
- Sector for Biostatistics and Data Repository, Office of NIH Manager, National Institute of Health Malaysia, Ministry of Health Malaysia, 40170 Shah Alam, Selangor Darul Ehsan, Malaysia.
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Li X, Li Y, Yu B, Zhu H, Zhou Z, Yang Y, Liu S, Tian Y, Xiao J, Xing X, Yin L. Health and economic impacts of ambient air pollution on hospital admissions for overall and specific cardiovascular diseases in Panzhihua, Southwestern China. J Glob Health 2022; 12:11012. [PMID: 36538381 PMCID: PMC9805700 DOI: 10.7189/jogh.12.11012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background The associations of ambient air pollution with hospital admissions (HAs) for overall and specific causes of cardiovascular diseases (CVDs), as well as related morbidity and economic burdens remain understudied, especially in low-pollution areas of low- and middle-income countries (LMICs). We evaluated the short-term effects of exposure to PM2.5 (particles with an aerodynamic diameter ≤2.5 μm), PM10 (particles with an aerodynamic diameter ≤10 μm), and SO2 (sulfur dioxide) on HAs for CVDs in Panzhihua, China, during 2016-2020, and calculated corresponding attributable risks and economic burden. Methods We used a generalized additive model (GAM) while controlling for time trends, meteorological conditions, holidays, and days of the week to estimate the associations. The cost of illness (COI) method was adopted to further assess corresponding hospitalization costs and productivity losses. Results A total of 27 660 HAs for CVDs were included in this study. PM10 and SO2 were significantly associated with elevated risks of CVDs hospitalizations. Each 10 μg/m3 increase in PM10 and SO2 at lag06 corresponded to an increase of 2.48% (95% confidence interval (CI) = 0.92%-4.06%), and 5.50% (95% CI = 3.09%-7.97%) in risk of HAs for CVDs, respectively. The risk estimates of PM10 and SO2 on CVD hospitalizations were generally robust after adjustment for other pollutants in two-pollutant models. We found stronger associations between air pollution (PM10 and SO2) and CVDs in cool seasons than in warm seasons. For specific causes of CVDs, significant associations of PM10 and SO2 exposure with cerebrovascular disease and ischaemic heart disease were observed. Using 0 μg/m3 as the reference concentrations, 11.91% (95%CI = 4.64%-18.56%) and 15.71% (95%CI = 9.30%-21.60%) of HAs for CVDs could be attributable to PM10 and SO2, respectively. During the study period, PM10 and SO2 brought 144.34 million Yuan economic losses for overall CVDs, accounting for 0.028% of local GDP. Conclusions Our results suggest that PM10 and SO2 exposure might be an important trigger of HAs for CVDs and accounted for substantial morbidity and economic burden.
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Affiliation(s)
- Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention, Lhasa, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University – Hong Kong Polytechnic University, Chengdu, China
| | - Hongwei Zhu
- Department of dermatology, Panzhihua Central Hospital, Panzhihua, China
| | - Zonglei Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Yan Yang
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China,Department of Respiratory and Critical Care Medicine, Panzhihua Central Hospital, Panzhihua, China
| | - Shunjin Liu
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
| | - Yunyun Tian
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
| | - Junjie Xiao
- Department of Medical Records and Statistics, Panzhihua Central Hospital, Panzhihua, China
| | - Xiangyi Xing
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China,Department of Pharmacy, Panzhihua Central Hospital, Panzhihua, China
| | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
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5
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Lou X, Zhang P, Shi N, Ding Z, Xu Z, Liu B, Hu W, Yan T, Wang J, Liu L, Zha Y, Wang J, Chen W, Xu C, Xu J, Jiang H, Ma H, Yuan W, Wang C, Liao Y, Wang D, Yao L, Chen M, Li G, Li Y, Wang P, Li X, Lu C, Tang W, Wan J, Li R, Xiao X, Zhang C, Jiao J, Zhang W, Yuan J, Lan L, Li J, Zhang P, Zheng W, Chen J. Associations between short-term exposure of ambient particulate matter and hemodialysis patients death: A nationwide, longitudinal case-control study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 852:158215. [PMID: 36028020 DOI: 10.1016/j.scitotenv.2022.158215] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/18/2022] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Long-term exposure to particulate air pollutants can lead to an increase in mortality of hemodialysis patients, but evidence of mortality risk with short-term exposure to ambient particulate matter is lacking. This study aimed to estimate the association of short-term exposure to ambient particulate matter across a wide range of concentrations with hemodialysis patients mortality. METHODS We performed a time-stratified case-crossover study to estimate the association between short-term exposures to PM2.5 and PM10 and mortality of hemodialysis patients. The study included 18,114 hemodialysis death case from 279 hospitals in 41 cities since 2013. Daily particulate matter exposures were calculated by the inverse distance-weighted model based on each case's dialysis center address. Conditional logistic regression were implemented to quantify exposure-response associations. The sensitivity analysis mainly explored the lag effect of particulate matter. RESULTS During the study period, there were 18,114 case days and 61,726 control days. Of all case and control days, average PM2.5 and PM10 levels were 43.98 μg/m3 and 70.86 μg/m3, respectively. Each short-term increase of 10 μg/m3 in PM2.5 and PM10 were statistically significantly associated with a relative increase of 1.07 % (95 % confidence interval [CI]: 0.99 % - 1.15 %) and 0.89 % (95 % CI: 0.84 % - 0.94 %) in daily mortality rate of hemodialysis patients, respectively. There was no evidence of a threshold in the exposure-response relationship. The mean of daily exposure on the same day of death and one-day prior (Lag 01 Day) was the most plausible exposure time window. CONCLUSIONS This study confirms that short-term exposure to particulate matter leads to increased mortality in hemodialysis patients. Policy makers and public health practices have a clear and urgent opportunity to pass air quality control policies that care for hemodialysis populations and incorporate air quality into the daily medical management of hemodialysis patients.
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Affiliation(s)
- Xiaowei Lou
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China; College of Medicine, Zhejiang University, Hangzhou, PR China
| | - Ping Zhang
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China; Zhejiang Dialysis Quality Control Center, PR China
| | - Nan Shi
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China
| | - Zhe Ding
- College of Medicine, Zhejiang University, Hangzhou, PR China
| | - Zhonggao Xu
- First Hospital of Jilin University, PR China
| | - Bicheng Liu
- Affiliated Zhongda Hospital of Southeast University, PR China
| | - Wenbo Hu
- Qinghai Provincial Peoples Hospital, PR China
| | - Tiekun Yan
- Tianjin Medical University General Hospital, PR China
| | - Jinwen Wang
- Yan'an Hospital of Kunming Medical University, PR China
| | - Ling Liu
- Second Affiliated Hospital of Chongqing Medical University, PR China
| | - Yan Zha
- Guizhou Provincial People's Hospital, PR China
| | - Jianqin Wang
- Second Affiliated Hospital of Lanzhou University, PR China
| | - Wei Chen
- First Affiliated Hospital of Sun yat-sen University, PR China
| | - Chenyun Xu
- Second Affiliated Hospital of Nanchang University, PR China
| | - Jinsheng Xu
- Fourth Hospital of Hebei Medical University, PR China
| | - Hongli Jiang
- First Affiliated Hospital of Xian Jiaotong University, PR China
| | - Huichao Ma
- Second Hospital of Tibet Autonomous Region, PR China
| | | | - Caili Wang
- First Affiliated Hospital of Baotou Medical College, PR China
| | - Yunhua Liao
- First Affiliated Hospital of Guangxi Medical University, PR China
| | - Deguang Wang
- Second Affiliated Hospital of Anhui Medical University, PR China
| | - Li Yao
- First Affiliated Hospital of China Medical University, PR China
| | - Menghua Chen
- General Hospital of Ningxia Medical University, PR China
| | - Guisen Li
- Sichuan Provincial Peoples Hospital, PR China
| | - Yun Li
- Jiangxi Provincial Peoples Hospital, PR China
| | - Pei Wang
- First Affiliated Hospital of Zhengzhou University, PR China
| | - Xuemei Li
- Peking Union Medical College Hospital, PR China
| | - Chen Lu
- Peoples Hospital of Xinjiang Uygur Autonomous Region, PR China
| | | | - Jianxin Wan
- First Affiliated Hospital of Fujian Medical University, PR China
| | - Rongshan Li
- Shanxi Provincial People's Hospital, PR China
| | | | - Chun Zhang
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, PR China
| | - Jundong Jiao
- Second Affiliated Hospital of Harbin Medical University, PR China
| | - Wei Zhang
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China
| | - Jing Yuan
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China
| | - Lan Lan
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China
| | - Jingsong Li
- Research Center for Healthcare Data Science, Zhejiang Lab, PR China
| | - Peng Zhang
- School of Mathematical Sciences, Zhejiang University, PR China.
| | - Weijun Zheng
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, PR China.
| | - Jianghua Chen
- Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, PR China; National Key Clinical Department of Kidney Diseases, PR China; Institute of Nephropathy, Zhejiang University, Hangzhou, PR China; Zhejiang Dialysis Quality Control Center, PR China.
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Chen Z, Liu N, Tang H, Gao X, Zhang Y, Kan H, Deng F, Zhao B, Zeng X, Sun Y, Qian H, Liu W, Mo J, Zheng X, Huang C, Sun C, Zhao Z. Health effects of exposure to sulfur dioxide, nitrogen dioxide, ozone, and carbon monoxide between 1980 and 2019: A systematic review and meta-analysis. INDOOR AIR 2022; 32:e13170. [PMID: 36437665 DOI: 10.1111/ina.13170] [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: 08/05/2022] [Revised: 10/23/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
The burden of disease attributed to the indoor exposure to sulfur dioxide (SO2 ), nitrogen dioxide (NO2 ), ozone (O3 ), and carbon monoxide (CO) is not clear, and the quantitative concentration-response relationship is a prerequisite. This is a systematic review to summarize the quantitative concentration-response relationships by screening and analyzing the polled effects of population-based epidemiological studies. After collecting literature published between 1980 and 2019, a total of 19 health outcomes in 101 studies with 182 health risk estimates were recruited. By meta-analysis, the leave-one-out sensitivity analysis and Egger's test for publication bias, the robust and reliable effects were found for SO2 (per 10 μg/m3 ) with chronic obstructive pulmonary diseases (COPD) (pooled relative risks [RRs] 1.016, 95% CI: 1.012-1.021) and cardiovascular diseases (CVD) (RR 1.012, 95%CI: 007-1.018), respectively. NO2 (per 10 μg/m3 ) had the pooled RRs for childhood asthma, preterm birth, lung cancer, diabetes, and COPD by 1.134 (1.084-1.186), 1.079 (1.007-1.157), 1.055 (1.010-1.101), 1.019 (1.009-1.029), and 1.016 (1.012-1.120), respectively. CO (per 1 mg/m3 ) was significantly associated with Parkinson's disease (RR 1.574, 95% CI: 1.069-2.317) and CVD (RR 1.024, 95% CI: 1.011-1.038). No robust effects were observed for O3 . This study provided evidence and basis for further estimation of the health burden attributable to the four gaseous pollutants.
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Affiliation(s)
- Zhuoru Chen
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Ningrui Liu
- Department of Building Science, Tsinghua University, Beijing, China
| | - Hao Tang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xuehuan Gao
- Anhui Provincial Center for Disease Control and Prevention, Hefei, China
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing, China
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Furong Deng
- School of Public Health, Peking University, Beijing, China
| | - Bin Zhao
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xiangang Zeng
- School of Environment and Natural Resources, Renmin University of China, Beijing, China
| | - Yuexia Sun
- School of Environmental Science and Engineering, Tianjin University, Tianjin, China
| | - Hua Qian
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Wei Liu
- Institute for Health and Environment, Chongqing University of Science and Technology, Chongqing, China
| | - Jinhan Mo
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xiaohong Zheng
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Chanjuan Sun
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Zhuohui Zhao
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, WMO/IGAC MAP-AQ Asian Office Shanghai, Fudan University, Shanghai, China
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7
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Hoogland M, Ploeger A. Two Different Mismatches: Integrating the Developmental and the Evolutionary-Mismatch Hypothesis. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2022; 17:1737-1745. [PMID: 35834332 PMCID: PMC9634284 DOI: 10.1177/17456916221078318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Evolutionary psychology aims to understand the origins of the human mind,
including disease. Several theories about the origins of disease have been
proposed. One concerns a developmental mismatch—a mismatch might occur at the
individual level between the environment experienced during childhood and the
environment the adult finds herself in, possibly resulting in disease. A second
theory concerns the idea of an evolutionary mismatch—humans are adapted to
ancestral conditions so they might now experience a mismatch with their modern
environment, possibly resulting in disease. A third theory—differential
susceptibility—outlines how genetic and epigenetic differences influence the
extent to which humans are susceptible to rearing, including positive and
negative experiences. Because of these differences, some individuals are more
prone to develop disease than others. We review empirical studies that
substantiate these theories and argue that an overarching theory that integrates
these three lines into one provides a more accurate understanding of disease
from an evolutionary perspective.
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8
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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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9
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Wang M, Li H, Huang S, Qian Y, Steenland K, Xie Y, Papatheodorou S, Shi L. Short-term exposure to nitrogen dioxide and mortality: A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2021; 202:111766. [PMID: 34331919 PMCID: PMC8578359 DOI: 10.1016/j.envres.2021.111766] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 07/18/2021] [Accepted: 07/23/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Ambient air pollution has been characterized as a leading cause of mortality worldwide and has been associated with cardiovascular and respiratory diseases. There is increasing evidence that short-term exposure to nitrogen dioxide (NO2), is related to adverse health effects and mortality. METHODS We conducted a systematic review of short-term NO2 and daily mortality, which were indexed in PubMed and Embase up to June 2021. We calculated random-effects estimates by different continents and globally, and tested for heterogeneity and publication bias. RESULTS We included 87 articles in our quantitative analysis. NO2 and all-cause as well as cause-specific mortality were positively associated in the main analysis. For all-cause mortality, a 10 ppb increase in NO2 was associated with a 1.58% (95%CI 1.28%-1.88%, I2 = 96.3%, Eggers' test p < 0.01, N = 57) increase in the risk of death. For cause-specific mortality, a 10 ppb increase in NO2 was associated with a 1.72% (95%CI 1.41%-2.04%, I2 = 87.4%, Eggers' test p < 0.01, N = 42) increase in cardiovascular mortality and a 2.05% (95%CI 1.52%-2.59%, I2 = 78.5%, Eggers' test p < 0.01, N = 38) increase in respiratory mortality. In the sensitivity analysis, the meta-estimates for all-cause mortality, cardiovascular and respiratory mortality were nearly identical. The heterogeneity would decline to varying degrees through regional and study-design stratification. CONCLUSIONS This study provides evidence of an association between short-term exposure to NO2, a proxy for traffic-sourced air pollutants, and all-cause, cardiovascular and respiratory mortality.
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Affiliation(s)
- Mingrui Wang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Haomin Li
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Shiwen Huang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yaoyao Qian
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yang Xie
- School of Economics and Management, Beihang University, Beijing, China
| | | | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
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10
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Association between short-term exposure to sulfur dioxide and carbon monoxide and ischemic heart disease and non-accidental death in Changsha city, China. PLoS One 2021; 16:e0251108. [PMID: 33939751 PMCID: PMC8092655 DOI: 10.1371/journal.pone.0251108] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 04/20/2021] [Indexed: 11/19/2022] Open
Abstract
Background To investigate the effects of short-term exposure to sulfur dioxide (SO2) and carbon monoxide (CO) in the central and southern China areas on ischemic heart disease (IHD) and non-accidental deaths. Method We investigated the associations between short-term exposure to SO2 and CO in a city in south-central China and IHD and non-accidental death using a time-series design and generalized additive models with up to a 5-day lag adjusting for day of the week, temperature, air pressure, wind speed, and relative humidity. The relative risks of IHD and non-accidental death per 10-unit increase in SO2 and CO were derived from zero to five days in single-pollutant models. Results Between 2016 and 2018, a total of 10,507 IHD and 44,070 non-accidental deaths were identified. The largest significant relative risk for IHD death was lag 02 for both SO2 (1.080; 95% confidence interval: 1.075–1.084) and CO (5.297; 95% confidence interval: 5.177–5.418) in single-pollutants models. A significant association was shown at all lag multiple-day moving averages. Two-pollutant models identified an association between SO2 and mortality when adjusting for CO. In stratified analyses, SO2 exhibited a stronger association with death during the cold season, while CO exhibited a stronger association with mortality from IHD during the warm season. The risk of death was more robust in the elderly for both pollutants, but was greater in men for CO and in women for SO2. Conclusions Overall, we found an association between short-term exposure to low-level SO2 and CO and the risk of IHD and non-accidental death.
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11
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Is Urbanization Good for the Health of Middle-Aged and Elderly People in China?—Based on CHARLS Data. SUSTAINABILITY 2021. [DOI: 10.3390/su13094996] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The purpose of this paper is to test whether improved healthcare services can mitigate health hazards resulting from environmental pollution in the urbanization process. Specifically, using China Health and Retirement Longitudinal Study (CHARLS) data and official statistics, this paper constructs comprehensive urbanization indicators and healthcare service indicators by applying the fully arrayed polygonal graphical indication method. Then, we introduce healthcare service indicators, urbanization indicators, environmental pollution indicators, and the interaction term between environmental pollution and healthcare into an ordered-logistics regression model. Our results indicate that improvement in health conditions can decrease the health risks from multiplied emissions of industrial sulfur dioxide, industrial soot and dust, and industrial effluents, but it cannot counteract the adverse health effects of PM2.5. Furthermore, heterogeneity tests show that, when considering the multidimensionality of urbanization, the positive influence of healthcare is the greatest in residential surroundings urbanization and economic urbanization, which reduces the prevalence of chronic diseases by 18.4% and 14.9%, respectively. Among the diverse city types, mixed-economy cities have the most obvious positive effects, where healthcare has the greatest mitigating effect on the health damage caused by industrial sulfur dioxide and industrial soot and dust, decreasing the prevalence of chronic diseases among the middle-aged and elderly by 27.3% and 16.4%, respectively. When considering the regional impacts of urbanization, there is a large difference in the positive effects brought about by medical care, which is reflected mainly in eastern and western China. In eastern China, although healthcare does not offset the health damage of PM2.5, the increase in chronic diseases among the middle-aged and elderly is only 0.5%, while in western China, the increase rises to 22.4%.
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12
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Su PF, Sie FC, Yang CT, Mau YL, Kuo S, Ou HT. Association of ambient air pollution with cardiovascular disease risks in people with type 2 diabetes: a Bayesian spatial survival analysis. Environ Health 2020; 19:110. [PMID: 33153466 PMCID: PMC7643356 DOI: 10.1186/s12940-020-00664-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 10/12/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Evidence is limited on excess risks of cardiovascular diseases (CVDs) associated with ambient air pollution in diabetic populations. Survival analyses without considering the spatial structure and possible spatial correlations in health and environmental data may affect the precision of estimation of adverse environmental pollution effects. We assessed the association between air pollution and CVDs in type 2 diabetes through a Bayesian spatial survival approach. METHODS Taiwan's national-level health claims and air pollution databases were utilized. Fine individual-level latitude and longitude were used to determine pollution exposure. The exponential spatial correlation between air pollution and CVDs was analyzed in our Bayesian model compared to traditional Weibull and Cox models. RESULTS There were 2072 diabetic patients included in analyses. PM2.5 and SO2 were significant CVD risk factors in our Bayesian model, but such associations were attenuated or underestimated in traditional models; adjusted hazard ratio (HR) and 95% credible interval (CrI) or confidence interval (CI) of CVDs for a 1 μg/m3 increase in the monthly PM2.5 concentration for our model, the Weibull and Cox models was 1.040 (1.004-1.073), 0.994 (0.984-1.004), and 0.994 (0.984-1.004), respectively. With a 1 ppb increase in the monthly SO2 concentration, adjusted HR (95% CrI or CI) was 1.886 (1.642-2.113), 1.092 (1.022-1.168), and 1.091 (1.021-1.166) for these models, respectively. CONCLUSIONS Against traditional non-spatial analyses, our Bayesian spatial survival model enhances the assessment precision for environmental research with spatial survival data to reveal significant adverse cardiovascular effects of air pollution among vulnerable diabetic patients.
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Affiliation(s)
- Pei-Fang Su
- Department of Statistics, National Cheng Kung University, Tainan, Taiwan
| | - Fei-Ci Sie
- Department of Statistics, National Cheng Kung University, Tainan, Taiwan
| | - Chun-Ting Yang
- Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, 1 University Road, Tainan, 701 Taiwan
| | - Yu-Lin Mau
- Department of Statistics, National Cheng Kung University, Tainan, Taiwan
| | - Shihchen Kuo
- Division of Metabolism, Endocrinology & Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI USA
| | - Huang-Tz Ou
- Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, 1 University Road, Tainan, 701 Taiwan
- Department of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Pharmacy, National Cheng Kung University Hospital, Tainan, Taiwan
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13
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Moccia F, Gerbino A, Lionetti V, Miragoli M, Munaron LM, Pagliaro P, Pasqua T, Penna C, Rocca C, Samaja M, Angelone T. COVID-19-associated cardiovascular morbidity in older adults: a position paper from the Italian Society of Cardiovascular Researches. GeroScience 2020; 42:1021-1049. [PMID: 32430627 PMCID: PMC7237344 DOI: 10.1007/s11357-020-00198-w] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 04/28/2020] [Indexed: 01/08/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infects host cells following binding with the cell surface ACE2 receptors, thereby leading to coronavirus disease 2019 (COVID-19). SARS-CoV-2 causes viral pneumonia with additional extrapulmonary manifestations and major complications, including acute myocardial injury, arrhythmia, and shock mainly in elderly patients. Furthermore, patients with existing cardiovascular comorbidities, such as hypertension and coronary heart disease, have a worse clinical outcome following contraction of the viral illness. A striking feature of COVID-19 pandemics is the high incidence of fatalities in advanced aged patients: this might be due to the prevalence of frailty and cardiovascular disease increase with age due to endothelial dysfunction and loss of endogenous cardioprotective mechanisms. Although experimental evidence on this topic is still at its infancy, the aim of this position paper is to hypothesize and discuss more suggestive cellular and molecular mechanisms whereby SARS-CoV-2 may lead to detrimental consequences to the cardiovascular system. We will focus on aging, cytokine storm, NLRP3/inflammasome, hypoxemia, and air pollution, which is an emerging cardiovascular risk factor associated with rapid urbanization and globalization. We will finally discuss the impact of clinically available CV drugs on the clinical course of COVID-19 patients. Understanding the role played by SARS-CoV2 on the CV system is indeed mandatory to get further insights into COVID-19 pathogenesis and to design a therapeutic strategy of cardio-protection for frail patients.
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Affiliation(s)
- F Moccia
- Laboratory of General Physiology, Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | - A Gerbino
- CNR-Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, Bari, Italy
| | - V Lionetti
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
- UOS Anesthesiology and Intensive Care Medicine, Fondazione Toscana G. Monasterio, Pisa, Italy.
| | - M Miragoli
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Humanitas Clinical and Research Center, Rozzano, Milan, Italy
| | - L M Munaron
- Department of Life Sciences and Systems Biology, University of Turin, Turin, Italy
| | - P Pagliaro
- Clinical and Biological Sciences Department, University of Turin, Orbassano, Turin, Italy.
| | - T Pasqua
- Laboratory of Cellular and Molecular Cardiovascular Patho-physiology, Department of Biology, E. and E.S., University of Calabria, Arcavacata di Rende, CS, Italy
| | - C Penna
- Clinical and Biological Sciences Department, University of Turin, Orbassano, Turin, Italy
| | - C Rocca
- Laboratory of Cellular and Molecular Cardiovascular Patho-physiology, Department of Biology, E. and E.S., University of Calabria, Arcavacata di Rende, CS, Italy
| | - M Samaja
- Department of Health Science, University of Milano, Milan, Italy
| | - T Angelone
- Laboratory of Cellular and Molecular Cardiovascular Patho-physiology, Department of Biology, E. and E.S., University of Calabria, Arcavacata di Rende, CS, Italy
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14
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Short-term exposure to ambient air pollution and acute myocardial infarction attack risk. J Public Health (Oxf) 2020. [DOI: 10.1007/s10389-019-01033-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022] Open
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15
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Cheng FJ, Wu KH, Hung SC, Lee KH, Lee CW, Liu KY, Hsu PC. Association between ambient air pollution and out-of-hospital cardiac arrest: are there potentially susceptible groups? JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2020; 30:641-649. [PMID: 31578416 DOI: 10.1038/s41370-019-0140-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 03/08/2019] [Accepted: 03/18/2019] [Indexed: 06/10/2023]
Abstract
This study aimed to examine the association between air pollution and out-of-hospital cardiac arrest (OHCA), and the effects of underlying diseases. Between January 2015 and December 2016, data on particulate matter (PM)2.5 and other air pollutants in Kaohsiung City were collected, and an emergency medical service database was used for information on patients who experienced OHCA. Overall, 3566 patients were analyzed and subgroup analyses by sex, age, and preexisting morbidities were performed. Interquartile increments in PM2.5, PM10, and O3 levels on lag 1 and NO2 level on lag 3 were associated with increments of 10.8%, 11.3%, 6.2%, and 1.7% in OHCA incidence, respectively. Subgroup analyses showed that patients with diabetes (1.363; interaction p = 0.009), heart disease (1.612; interaction p = 0.001), and advanced age (≥70 years, 1.297; interaction p = 0.003) were more susceptible to NO2 on lag 3. Moreover, patients were more susceptible to O3 during the cold season (1.194; interaction p = 0.001). We found that PM2.5, PM10, NO2, and O3 may play an important role in OHCA events, and the effects vary by underlying condition, age and season.
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Affiliation(s)
- Fu-Jen Cheng
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
- Department of Safety, Health and Environmental Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan
| | - Kuan-Han Wu
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - Shih-Chiang Hung
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung City, Taiwan
| | - Kuo-Hsin Lee
- Department of Emergency Medicine, E-Da Hospital, I-Shou University, Kaohsiung City, Taiwan
| | - Chia-Wei Lee
- Department of Safety, Health and Environmental Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan
| | - Kun-Ying Liu
- Fire Bureau, Kaohsiung City Government, Kaohsiung City, Taiwan
| | - Ping-Chi Hsu
- Department of Safety, Health and Environmental Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan.
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16
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Liu D, Deng Q, Ren Z, Zhou Z, Song Z, Huang J, Hu R. Variation trends and principal component analysis of nitrogen oxide emissions from motor vehicles in Wuhan City from 2012 to 2017. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 704:134987. [PMID: 31838298 DOI: 10.1016/j.scitotenv.2019.134987] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/25/2019] [Accepted: 10/13/2019] [Indexed: 06/10/2023]
Abstract
In addition to fine particulate matter and oxysulfides, nitrogen oxides (NOx) emitted by motor vehicles are among the most important pollutants affecting air quality and public health in those urban areas where centralized heating and chemical industry absent. We utilized correlation analysis (pearson correlation coefficient and spearman correlation coefficient) and principal component analysis (PCA) to identify the variation trends and main causes of NOx emissions from motor vehicles in Wuhan City. We considered the total number of motor vehicles (TN), ratios of motor vehicles of different emission standards (RE), rations of labeled motor vehicles (RL), and rations of motor vehicles' fuel types (RF). The results show that: 1) with an increase in the total amount of motor vehicles, the NOx emissions of motor vehicles have been decreasing since 2015; 2) three sub-categories (the ratio of the State III emission standard, the ration of yellow label diesel vehicles, and the ration of diesel vehicles) were recognized as key indexes of PE, PL and PF, respectively, in the PCA; 3) a new parameter, the ESindex is proposed as an index to represent the variation trend of the NOx emissions of motor vehicles in Wuhan City.
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Affiliation(s)
- Daoru Liu
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
| | - Qinli Deng
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China.
| | - Zhigang Ren
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China.
| | - Zeng Zhou
- School of Urban Planning, Wuhan University, Wuhan 430070, China.
| | - Zhe Song
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
| | - Jiahui Huang
- School of Civil Engineering, Technical University of Denmark, Copenhagen 2800 Kgs, Denmark
| | - Ruibo Hu
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
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Deng Q, Wei Y, Chen L, Liang W, Du J, Tan Y, Zhao Y. Relationship between Air Pollution and Regional Longevity in Guangxi, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16193733. [PMID: 31623378 PMCID: PMC6801524 DOI: 10.3390/ijerph16193733] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 09/12/2019] [Accepted: 09/23/2019] [Indexed: 11/24/2022]
Abstract
Air pollution has become a global environmental challenge and poses major threats to human health, particularly for the aging population. However, few studies have investigated the effects of air pollutants on human longevity, especially based on the total regional quantities and sources. Based on investigation of the spatiotemporal variations of three air pollutants (PM10, SO2, and NOx) and three longevity indicators (centenarian ratio, centenarity index, and aging tendency), this study aims to identify the relationship between air pollution and regional longevity in Guangxi Province. Air pollutant and population data from 109 counties and areas of Guangxi were collected from environmental research reports and statistical yearbooks. Cluster and outlier analysis was used to detect the regions with high and low clusters of the longevity indicators and air pollutants. Geographically weighted regression analyses were performed to determine the relationship between longevity and air pollutants. A negative relationship between the air pollutants PM10, SO2, and NOx on the aged population was observed. From a provincial level, industrial sources from the urban areas of cities located in the central province, including Liuzhou, Nanning, Laibing, Guigang and Yulin, were important contributors to the air pollutants PM10, SO2, and NOx, and thus could contribute to negative impacts on regional longevity. The key findings from this study will provide a case for management of air pollutants based on public health policies in China as well as other developing communities.
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Affiliation(s)
- Qucheng Deng
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane 4072, Australia.
| | - Yongping Wei
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane 4072, Australia.
| | - Lijuan Chen
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane 4072, Australia.
- Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.
| | - Wei Liang
- Guangxi Environmental Information Center, Nanning 530028, China.
| | - Jijun Du
- Chinese Research Academy of Environmental Sciences, Beijing 100101, China.
| | - Yuling Tan
- Chinese Research Academy of Environmental Sciences, Beijing 100101, China.
| | - Yinjun Zhao
- Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, China.
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18
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Cheng CY, Cheng SY, Chen CC, Pan HY, Wu KH, Cheng FJ. Ambient air pollution is associated with pediatric pneumonia: a time-stratified case-crossover study in an urban area. Environ Health 2019; 18:77. [PMID: 31462279 PMCID: PMC6714311 DOI: 10.1186/s12940-019-0520-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Accepted: 08/22/2019] [Indexed: 05/07/2023]
Abstract
BACKGROUND Pneumonia, the leading reason underlying childhood deaths, may be triggered or exacerbated by air pollution. To date, only a few studies have examined the association of air pollution with emergency department (ED) visits for pediatric pneumonia, with inconsistent results. Therefore, we aimed to elucidate the impact of short-term exposure to particulate matter (PM) and other air pollutants on the incidence of ED visits for pediatric pneumonia. METHODS PM2.5, PM10, and other air pollutant levels were measured at 11 air quality-monitoring stations in Kaohsiung City, Taiwan, between 2008 and 2014. Further, we extracted the medical records of non-trauma patients aged ≤17 years and who had visited an ED with the principal diagnosis of pneumonia. A time-stratified case-crossover study design was employed to determine the hazard effect of air pollution in a total of 4024 patients. RESULTS The single-pollutant model suggested that per interquartile range increment in PM2.5, PM10, nitrogen dioxide (NO2), and sulfur dioxide (SO2) on 3 days before the event increased the odds of pediatric pneumonia by 14.0% [95% confidence interval (CI), 5.1-23.8%], 10.9% (95% CI, 2.4-20.0%), 14.1% (95% CI, 5.0-24.1%), and 4.5% (95% CI, 0.8-8.4%), respectively. In two-pollutant models, PM2.5 and NO2 were significant after adjusting for PM10 and SO2. Subgroup analyses showed that older children (aged ≥4 years) were more susceptible to PM2.5 (interaction p = 0.024) and children were more susceptible to NO2 during warm days (≥26.5 °C, interaction p = 0.011). CONCLUSIONS Short-term exposure to PM2.5 and NO2 possibly plays an important role in pediatric pneumonia in Kaohsiung, Taiwan. Older children are more susceptible to PM2.5, and all children are more susceptible to NO2 during warm days.
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Affiliation(s)
- Chi-Yung Cheng
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, No. 123, Dapi Rd., Niaosong Township, Kaohsiung, County, 833, Taiwan
- Chang Gung University College of Medicine, No.259, Wenhua 1st Road, Guishan District, Taoyuan City, 333, Taiwan
| | - Shih-Yu Cheng
- Chang Gung University College of Medicine, No.259, Wenhua 1st Road, Guishan District, Taoyuan City, 333, Taiwan
- Department of Emergency Medicine, Yunlin Chang Gung Memorial Hospital, No. 1500, Gongye Rd, Mailiao Township, Yunlin County, 638, Taiwan
| | - Chien-Chih Chen
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, No. 123, Dapi Rd., Niaosong Township, Kaohsiung, County, 833, Taiwan
- Chang Gung University College of Medicine, No.259, Wenhua 1st Road, Guishan District, Taoyuan City, 333, Taiwan
| | - Hsiu-Yung Pan
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, No. 123, Dapi Rd., Niaosong Township, Kaohsiung, County, 833, Taiwan
- Chang Gung University College of Medicine, No.259, Wenhua 1st Road, Guishan District, Taoyuan City, 333, Taiwan
| | - Kuan-Han Wu
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, No. 123, Dapi Rd., Niaosong Township, Kaohsiung, County, 833, Taiwan
- Chang Gung University College of Medicine, No.259, Wenhua 1st Road, Guishan District, Taoyuan City, 333, Taiwan
| | - Fu-Jen Cheng
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, No. 123, Dapi Rd., Niaosong Township, Kaohsiung, County, 833, Taiwan.
- Chang Gung University College of Medicine, No.259, Wenhua 1st Road, Guishan District, Taoyuan City, 333, Taiwan.
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19
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Liu M, Xue X, Zhou B, Zhang Y, Sun B, Chen J, Li X. Population susceptibility differences and effects of air pollution on cardiovascular mortality: epidemiological evidence from a time-series study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:15943-15952. [PMID: 30963427 DOI: 10.1007/s11356-019-04960-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 03/22/2019] [Indexed: 05/22/2023]
Abstract
There is insufficient evidence on the relationship between air pollution and mortality from cardiovascular disease (CVD) in northeast China. Here, we explored the short-term effects of air pollution on CVD mortality and preliminarily investigated differences in population susceptibility to air pollution in Shenyang, China. CVD mortality, air pollution, and meteorological data during 2013-2016 were obtained. Time-series analysis was applied to evaluate the association between air pollution and daily CVD mortality with different lag structures. In the single-pollutant model, each 10 μg/m3 increase in PM2.5, PM10, SO2, NO2, and O3 concentrations and 1 mg/m3 increase in CO concentrations at lag0 (same day) was significantly associated with an increase of 0.40% (95% confidence interval, 0.22-0.59%), 0.26% (0.12-0.40%), 0.43% (0.16-0.70%), 0.90% (0.14-1.67%), 0.76% (0.21-1.32%), and 3.33% (0.97-5.75%), respectively, in overall CVD mortality. Susceptibility to air pollutants was higher among females, elderly people, and ischemic heart disease patients. Furthermore, air pollution effects on CVD mortality were 2-8 times greater during the non-heating period. In conclusion, the air pollutants PM2.5, PM10, SO2, NO2, O3, and CO showed significant positive effects on CVD mortality in Shenyang, China. These findings highlight the adverse effects of air pollution and suggest the need for personal protective equipment and reduction of air pollution sources.
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Affiliation(s)
- Mengyao Liu
- Department of Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, People's Republic of China
| | - Xiaoxia Xue
- Science Experiment Center, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, People's Republic of China
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, People's Republic of China
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale Cancer Center, Yale School of Public Health, 60 College Street LEPH 440, New Haven, CT, 06520, USA
| | - Baijun Sun
- Shenyang Center for Disease Control and Prevention, No. 37 Qishan Road, Huanggu District, Shenyang, 110031, Liaoning Province, People's Republic of China
| | - Jianping Chen
- Shenyang Center for Disease Control and Prevention, No. 37 Qishan Road, Huanggu District, Shenyang, 110031, Liaoning Province, People's Republic of China
| | - Xuelian Li
- Department of Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, People's Republic of China.
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Li S, Xu Z, Xia J, Qin G, Sang N. Sulfur dioxide induces apoptosis via reactive oxygen species generation in rat cardiomyocytes. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:8758-8767. [PMID: 30712210 DOI: 10.1007/s11356-019-04319-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Accepted: 01/22/2019] [Indexed: 06/09/2023]
Abstract
Epidemiological evidence suggests that the incidence and mortality of cardiovascular diseases are closely related to sulfur dioxide (SO2). In the present study, H9C2 cells were incubated with 100 μM NaHSO3 with or without pretreatment of an antioxidant, N-acetyl-L-cysteine (NAC). The changes of apoptosis rate, mitochondrial membrane potential (MMP), ATP content, caspase-3 activity, and reactive oxygen species (ROS) were detected. Rats were inhaled 7 mg/m3 SO2 and/or intraperitoneal injected with 50 mg/kg (bw) of NAC for 30 days. RT-PCR and Western blot were used to detect the mRNA and protein levels of apoptosis-related genes. We found that the apoptosis of H9C2 cells was induced by NaHSO3, which decreased the content of MMP and ATP, and induced the expression of caspase-3. NAC can inhibit the apoptosis induced by NaHSO3 treatment. SO2 and NaHSO3 decreased the expression of Bcl-2 and the ratio of Bcl-2/Bax, increased the expression of Bax and P53 accumulation and phosphorylation, and activated caspase-9 and caspase-3. Whereas NAC can reduce the changes of apoptosis-related proteins in rat heart. Our results suggest that SO2 induces ROS-mediated P53 and caspase-dependent mitochondrial signaling pathways in H9C2 cells and rat hearts. Antioxidant therapy can reduce the adverse reactions of SO2 and lead to a decline in the cardiovascular disease induced by SO2.
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Affiliation(s)
- Shuyue Li
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, 030006, Shanxi, People's Republic of China
| | - Zhifang Xu
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, 030006, Shanxi, People's Republic of China
- Shan Xi Academy for Environmental Planning, Taiyuan, 030001, Shanxi, People's Republic of China
| | - Jin Xia
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, 030006, Shanxi, People's Republic of China
| | - Guohua Qin
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, 030006, Shanxi, People's Republic of China.
| | - Nan Sang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, 030006, Shanxi, People's Republic of China.
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Xiong L, Xu Z, Tan J, Wang H, Liu Z, Wang A, Xie D, Kong F. Acute effects of air pollutants on adverse birth outcomes in Changsha, China: A population data with time-series analysis from 2015 to 2017. Medicine (Baltimore) 2019; 98:e14127. [PMID: 30653143 PMCID: PMC6370066 DOI: 10.1097/md.0000000000014127] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Evidence for the acute effects of air pollutants on adverse birth outcomes is not yet conclusive. Furthermore, there are no investigations relating to the association between air pollutants and macrosomia. The aim of this study was to determine the relationship between air pollutants and low birth weight, preterm birth, and macrosomia in Changsha. Time-series analysis, using a generalized additive model was applied. Data about the adverse birth outcomes was collected from 78 midwifery institutions. Air pollution data including SO2, NO2, particulate matter <10 μm in diameter (PM10), particulate matter <2.5 μm in diameter (PM2.5), O3, CO, and climate data were respectively collected from the Changsha Environmental Protection Agency and the Changsha Meteorological Bureau from January 2015 to December 2017. During the study period, there were 344,880 live births to be studied. In a single pollutant model, for every increase of 10 μg/m in PM10 and PM2.5, low birth weight increased by 0.12% (95% confidence interval [CI]: 0.01-0.23%) at a lag 06 and 0.44% (95% CI: 0.35-0.53%) at a lag 3, respectively. Preterm birth increased most by 1.60% (95% CI: 1.41-1.80%) at a lag 2 for every increase of 10 μg/m in SO2. The highest increases in macrosomia associated with a 10 μg/m increase in air pollutant were 3.53% (95% CI: 3.41-3.64%) for NO2 at lag 0, 3.33% (95% CI: 3.05-3.60%) for SO2 at lag03. Multi-pollutant models showed that only PM10 increased the low birth weight and preterm birth risk effect by 3.91% (95% CI: 3.67-4.12%) and 0.25% (95% CI: 0.14-0.37%). NO2 increased macrosomia risk by 4.14% (95% CI: 3.97-4.31%) with a 10 μg/m increase. There was no association observed between the air pollutants O3 and CO and adverse birth outcomes. Pregnant women should also take steps to limit their exposure to high levels of air pollutants during the final weeks of pregnancy.
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Affiliation(s)
- Lili Xiong
- Hunan Province Maternal and Children Care Hospital
| | | | - Jie Tan
- Hunan Province Environmental Monitoring Centre, Changsha, China
| | - Hua Wang
- Hunan Province Maternal and Children Care Hospital
| | - Zhiyu Liu
- Hunan Province Maternal and Children Care Hospital
| | - Aihua Wang
- Hunan Province Maternal and Children Care Hospital
| | - Donghua Xie
- Hunan Province Maternal and Children Care Hospital
| | - Fanjuan Kong
- Hunan Province Maternal and Children Care Hospital
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De Marco A, Amoatey P, Khaniabadi YO, Sicard P, Hopke PK. Mortality and morbidity for cardiopulmonary diseases attributed to PM 2.5 exposure in the metropolis of Rome, Italy. Eur J Intern Med 2018; 57:49-57. [PMID: 30122285 DOI: 10.1016/j.ejim.2018.07.027] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Revised: 07/29/2018] [Accepted: 07/31/2018] [Indexed: 11/24/2022]
Abstract
The aim of the study was to evaluate the health effects associated with the exposure to ground-level of particulate matters with aerodynamic diameter ≤ 2.5 μm (PM2.5) on citizens in Rome (Italy) in 2015 and 2016. Based on the new version of the World Health Organization's AirQ+ model, we have estimated the short- and long-term effects of PM2.5 on hospital admissions due to cardiovascular (HA-CVD) and respiratory diseases (HA-RD) as well as on mortality for ischemic heart disease (M-IHD) and chronic obstructive pulmonary disease (M-COPD). In this study, city-specific relative risk values and baseline incidence rates were used to calculate the association between PM2.5 and daily counts of emergency hospitalizations and mortality. The annual mean PM2.5 concentrations were 18 μg m-3 and 14 μg m-3 in 2015 and 2016, respectively. In Rome, the citizens are mostly exposed to daily mean PM2.5 concentrations of 10-20 μg m-3 during the study period. In 2015-2016, 0.4-0.6% for HA-CVD, 1.1-1.5% for HA-RD, 16.5-18.1% for M-IHD and 8.5-9.2% for M-COPD are attributed to PM2.5. In 2015-2016, 134-186 HA-CVD, 126-175 HA-RD, 947-1037 M-IHD and 244-279 M-COPD, caused by PM2.5 exposure, could be "avoided" if PM2.5 concentrations would not exceed 10 μg m-3, i.e. the threshold recommended by the World Health Organization. Thus, a consistent air quality management and sustainable city planning are needed, urgently, to mitigate the adverse effects of PM2.5 exposure in Rome.
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Affiliation(s)
- Alessandra De Marco
- Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy
| | - Patrick Amoatey
- Department of Biology, Sultan Qaboos University, Al-Khould, Muscat, Oman
| | - Yusef Omidi Khaniabadi
- Health Care System of Karoon, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Philip K Hopke
- Center for Air Resources Engineering and Science, Clarkson University, Potsdam, USA; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, USA
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Yang WT, Wang VS, Chang LT, Chuang KJ, Chuang HC, Liu CS, Bao BY, Chang TY. Road Traffic Noise, Air Pollutants, and the Prevalence of Cardiovascular Disease in Taichung, Taiwan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15081707. [PMID: 30096942 PMCID: PMC6121634 DOI: 10.3390/ijerph15081707] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Revised: 08/03/2018] [Accepted: 08/07/2018] [Indexed: 11/16/2022]
Abstract
Background: A few studies have investigated the interaction between exposure to road traffic noise, air pollutants, and cardiovascular disease (CVD), but their results were inconsistent. This cross-sectional study investigated whether road traffic noise, particulate matter with dynamic diameter less than 10 μm (PM10) and nitrogen dioxides (NO₂) exposure were independently associated with the risk of CVD. Methods: We recruited 663 volunteers who had been living near main roads for more than three years in 2008. Information concerning the subjects' home addresses was combined with noise measurements at 42 locations and annual average of air pollutants from 2 monitoring stations to estimate individual exposure. Multivariate logistic regression was used to calculate the odds ratio (OR) for diagnosed CVD, adjusting for potential confounders and co-exposure. Results: Only per 5-dBA increase in road traffic noise was significantly associated with elevated risk of CVD (adjusted OR = 2.23, 95% confidence interval (CI) = 1.26⁻3.93) in the single-exposure models. Such association was aggravated (adjusted OR = 2.96, 95% CI = 1.41⁻6.23) after adjustment for total traffic and PM10 or NO₂ in the two-exposure models. Conclusions: Road traffic noise exposure may be associated with the increasing prevalence of CVD. No synergistic association was observed between co-exposure to noise and air pollutants and the risk of CVD.
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Affiliation(s)
- Wei-Ting Yang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan.
| | - Ven-Shing Wang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan.
| | - Li-Te Chang
- Department of Environmental Engineering and Science, Feng Chia University, No. 100, Wen-Hwa Road, Taichung 40724, Taiwan.
| | - Kai-Jen Chuang
- Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wu-Hsing Street, Taipei 11031, Taiwan.
- School of Public Health, College of Public Health and Nutrition, Taipei Medical University, No. 250, Wu-Hsing Street, Taipei 11031, Taiwan.
| | - Hsiao-Chi Chuang
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, No. 250, Wu-Hsing Street, Taipei 11031, Taiwan.
- Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wu-Hsing Street, Taipei 11031, Taiwan.
| | - Chiu-Shong Liu
- Department of Family Medicine, China Medical University Hospital, Taichung 40447, Taiwan.
| | - Bo-Ying Bao
- Department of Pharmacy, College of Pharmacy, China Medical University, No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan.
- Department of Nursing, Asia University, No. 500, Lioufeng Road, Wufeng, Taichung 41354, Taiwan.
| | - Ta-Yuan Chang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan.
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Newell K, Kartsonaki C, Lam KBH, Kurmi O. Cardiorespiratory health effects of gaseous ambient air pollution exposure in low and middle income countries: a systematic review and meta-analysis. Environ Health 2018; 17:41. [PMID: 29669550 PMCID: PMC5907176 DOI: 10.1186/s12940-018-0380-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 03/29/2018] [Indexed: 05/16/2023]
Abstract
BACKGROUND Lack of research on the effects of gaseous pollutants (nitrogen oxides [NOx], sulfur dioxide [SO2], carbon monoxide [CO] and ozone [O3]) in the ambient environment on health outcomes from within low and middle income countries (LMICs) is leading to reliance on results from studies performed within high income countries (HICs). This systematic review and meta-analysis examines the cardiorespiratory health effects of gaseous pollutants in LMICs exclusively. METHODS Systematic searching was carried out and estimates pooled by pollutant, lag and outcome, and presented as excess relative risk per 10 μg/m3 (NOx, SO2, O3) or 1 ppm (CO) increase pollutant. Sub-group analysis was performed examining estimates by specific outcomes, city and co-pollutant adjustment. RESULTS Sixty studies met the inclusion criteria, most (44) from the East Asia and Pacific region. A 10 μg/m3 increase in same day NOx was associated with 0.92% (95% CI: 0.44, 1.39), and 0.70% (0.01, 1.40) increases in cardiovascular and respiratory mortality respectively, same day NOx was not associated with morbidity. Same day sulfur dioxide was associated with 0.73% (0.04, 1.42) and 0.50% (0.01, 1.00) increases in respiratory morbidity and in cardiovascular mortality respectively. CONCLUSIONS Acute exposure to gaseous ambient air pollution (AAP) is associated with increases in morbidity and mortality in LMICs, with greatest associations observed for cardiorespiratory mortality.
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Affiliation(s)
- Katherine Newell
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Christiana Kartsonaki
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kin Bong Hubert Lam
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Om Kurmi
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Kim HJ, Min JY, Seo YS, Min KB. Association between exposure to ambient air pollution and renal function in Korean adults. Ann Occup Environ Med 2018; 30:14. [PMID: 29507730 PMCID: PMC5831208 DOI: 10.1186/s40557-018-0226-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 02/22/2018] [Indexed: 02/07/2023] Open
Abstract
Background Ambient air pollution has a negative effect on many diseases, such as cardiovascular and respiratory diseases. Recent studies have reported a relationship between air pollution and renal function, but the results were limited to exposure to particulate matter (PM). This study was to identify associations between various air pollutants and renal function among Korean adults. Methods Nationwide survey data for a total of 24,407 adults were analyzed. We calculated the estimated glomerular filtration rate (eGFR) for each individual to assess their renal function and used this to categorize those with chronic kidney disease (CKD). To evaluate exposure to ambient air pollution, we used the annual mean concentrations of four ambient air pollutants: PM with an aerodynamic diameter ≤ 10 μm (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO). Results We identified significant inverse relationships between the air pollutants PM10 and NO2 and eGFR in all statistical adjustment models (all p < 0.05). In the full covariate model, interquartile range increases in the annual mean concentrations of PM10 and NO2 were associated with decreases in eGFR levels of 0.46 (95% CI = − 0.87, − 0.04) and 0.85 (95% CI = − 1.40, − 0.30), respectively. Three of the ambient air pollutants were significantly related to an increased risk of CKD in the unadjusted model (p < 0.0001), but all significant associations disappeared after adjusting for covariates (all p > 0.05). Conclusions Exposures to PM10 and NO2 were significantly associated with decreases in eGFR levels, but not CKD, in Korean adults.
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Affiliation(s)
- Hyun-Jin Kim
- 1Institute of Health and Environment, Seoul National University, Seoul, 08826 Republic of Korea
| | - Jin-Young Min
- 2Institute of Health and Environment, Seoul National University, Seoul, 08826 Republic of Korea
| | - Yong-Seok Seo
- 3Institute of Environmental Research, Kangwon National University, Chuncheon, 24341 Gangwon-do Republic of Korea
| | - Kyoung-Bok Min
- 4Department of Preventive Medicine, College of Medicine, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080 Republic of Korea
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Newell K, Kartsonaki C, Lam KBH, Kurmi OP. Cardiorespiratory health effects of particulate ambient air pollution exposure in low-income and middle-income countries: a systematic review and meta-analysis. Lancet Planet Health 2017; 1:e368-e380. [PMID: 29851649 DOI: 10.1016/s2542-5196(17)30166-3] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2017] [Revised: 10/17/2017] [Accepted: 11/20/2017] [Indexed: 05/21/2023]
Abstract
BACKGROUND Most prospective studies on the health effects of particulate ambient air pollution exposure have focused on high-income countries, which have much lower pollutant concentrations than low-income and middle-income countries (LMICs) and different sources of pollution. We aimed to investigate the cardiorespiratory health effects of particulate ambient air pollution exposure in LMICs exclusively. METHODS For this systematic review and meta-analysis, we searched PubMed, Web of Science, Embase, LILACS, Global Health, and Proquest for studies published between database inception and Nov 28, 2016, investigating the cardiorespiratory health effects of particulate ambient air pollution exposure in LMICs. Data were extracted from published studies by one author, and then checked and verified by all authors independently. We pooled estimates by pollutant type (particulate matter with a diameter of <2·5 μm [PM2·5] or 2·5-10 μm [PM10]), lag, and outcome, and presented them as excess relative risk per 10 μg/m3 increase in particulate ambient air pollution. We used a random-effects model to derive overall excess risk. The study protocol is registered with PROSPERO, number CRD42016051733. FINDINGS Of 1553 studies identified, 91 met the full eligibility criteria. Only four long-term exposure studies from China were identified and not included in the meta-analysis. A 10 μg/m3 increase in same-day PM2·5 was associated with a 0·47% (95% CI 0·34-0·61) increase in cardiovascular mortality and a 0·57% (0·28-0·86) increase in respiratory mortality. A 10 μg/m3 increase in same-day PM10 was associated with a 0·27% (0·11-0·44) increase in cardiovascular mortality and a 0·56% (0·24-0·87) increase in respiratory mortality. INTERPRETATION Short-term exposure to particulate ambient air pollution is associated with increases in cardiorespiratory morbidity and mortality in LMIC's, with apparent regional-specific variations. FUNDING None.
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Affiliation(s)
- Katherine Newell
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Christiana Kartsonaki
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kin Bong Hubert Lam
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Om P Kurmi
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Ma Y, Zhao Y, Yang S, Zhou J, Xin J, Wang S, Yang D. Short-term effects of ambient air pollution on emergency room admissions due to cardiovascular causes in Beijing, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 230:974-980. [PMID: 28753900 DOI: 10.1016/j.envpol.2017.06.104] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2017] [Revised: 06/19/2017] [Accepted: 06/19/2017] [Indexed: 05/06/2023]
Abstract
Ambient air pollution has been a major global public health issue. A number of studies have shown various adverse effects of ambient air pollution on cardiovascular diseases. In the current study, we investigated the short-term effects of ambient air pollution on emergency room (ER) admissions due to cardiovascular causes in Beijing from 2009 to 2012 using a time-series analysis. A total of 82430 ER cardiovascular admissions were recorded. Different gender (male and female) and age groups (15yrs ≤ age <65 yrs and age ≥ 65 yrs) were also examined by single model and multiple-pollutant model. Three major pollutants (SO2, NO2 and PM10) had lag effects of 0-2 days on cardiovascular ER admissions. The relative risks (95% CI) of per 10 μg/m3 increase in PM10, SO2 and NO2 were 1.008 (0.997-1.020), 1.008(0.999-1.018) and 1.014(1.003-1.024), respectively. The effect was more pronounced in age ≥65 and males in Beijing. We also found the stronger acute effects on the elderly and females at lag 0 than on the younger people and males at lag 2.
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Affiliation(s)
- Yuxia Ma
- College of Atmospheric Science, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China.
| | - Yuxin Zhao
- College of Atmospheric Science, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Sixu Yang
- College of Atmospheric Science, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Jianding Zhou
- College of Atmospheric Science, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Jinyuan Xin
- Chengdu University of Information Technology, Chengdu 610225, China; Institute of Atmospheric Sciences, Chinese Academy of Sciences, Beijing 10081, China
| | - Shigong Wang
- Chengdu University of Information Technology, Chengdu 610225, China
| | - Dandan Yang
- Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China.
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Zhang C, Ding R, Xiao C, Xu Y, Cheng H, Zhu F, Lei R, Di D, Zhao Q, Cao J. Association between air pollution and cardiovascular mortality in Hefei, China: A time-series analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 229:790-797. [PMID: 28797522 DOI: 10.1016/j.envpol.2017.06.022] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 06/08/2017] [Accepted: 06/09/2017] [Indexed: 05/05/2023]
Abstract
In recent years, air pollution has become an alarming problem in China. However, evidence on the effects of air pollution on cardiovascular mortality is still not conclusive to date. This research aimed to assess the short-term effects of air pollution on cardiovascular morbidity in Hefei, China. Data of air pollution, cardiovascular mortality, and meteorological characteristics in Hefei between 2010 and 2015 were collected. Time-series analysis in generalized additive model was applied to evaluate the association between air pollution and daily cardiovascular mortality. During the study period, the annual average concentration of PM10, SO2, and NO2 was 105.91, 20.58, and 30.93 μg/m3, respectively. 21,816 people (including 11,876 man, and 14,494 people over 75 years of age) died of cardiovascular diseases. In single pollutant model, the effects of multi-day exposure were greater than single-day exposure of the air pollution. For every increase of 10 μg/m3 in SO2, NO2, and PM10 levels, CVD mortality increased by 5.26% (95%CI: 3.31%-7.23%), 2.71% (95%CI: 1.23%-4.22%), and 0.68% (95%CI: 0.33%-1.04%) at a lag03, respectively. The multi-pollutant models showed that PM10 and SO2 remained associated with CVD mortality, although the effect estimates attenuated. However, the effect of NO2 on CVD mortality decreased to statistically insignificant. Subgroup analyses further showed that women were more vulnerable than man upon air pollution exposure. These findings showed that air pollution could significantly increase the CVD mortality.
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Affiliation(s)
- Chao Zhang
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Rui Ding
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Changchun Xiao
- Hefei Centre for Disease Control and Prevention, Hefei, Anhui, China
| | - Yachun Xu
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Han Cheng
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Furong Zhu
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Ruoqian Lei
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Dongsheng Di
- Department of Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Qihong Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Jiyu Cao
- Department of Occupational Health and Environmental Heath, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China.
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Lee MW, Choi BG, Kim SW, Rha SW, Shim MS, Kim DJ, Seo HS, Oh DJ, Jeong MH. Air pollution and short-term clinical outcomes of patients with acute myocardial infarction. Clin Exp Pharmacol Physiol 2017; 44:631-638. [DOI: 10.1111/1440-1681.12755] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 03/06/2017] [Accepted: 03/13/2017] [Indexed: 12/20/2022]
Affiliation(s)
- Min Woo Lee
- Department of Integrated Biomedical and Life Sciences; Korea University Graduate School; Seoul Korea
| | - Byoung Geol Choi
- Department of Medicine; Korea University Graduate School; Seoul Korea
| | - Suhng Wook Kim
- Department of Integrated Biomedical and Life Sciences; Korea University Graduate School; Seoul Korea
| | - Seung-Woon Rha
- Department of Medicine; Korea University Graduate School; Seoul Korea
- Korea University Guro Hospital; Seoul Korea
| | | | - Dae Jin Kim
- Department of Integrated Biomedical and Life Sciences; Korea University Graduate School; Seoul Korea
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30
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Oliveri Conti G, Heibati B, Kloog I, Fiore M, Ferrante M. A review of AirQ Models and their applications for forecasting the air pollution health outcomes. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:6426-6445. [PMID: 28054264 DOI: 10.1007/s11356-016-8180-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Accepted: 11/28/2016] [Indexed: 05/22/2023]
Abstract
Even though clean air is considered as a basic requirement for the maintenance of human health, air pollution continues to pose a significant health threat in developed and developing countries alike. Monitoring and modeling of classic and emerging pollutants is vital to our knowledge of health outcomes in exposed subjects and to our ability to predict them. The ability to anticipate and manage changes in atmospheric pollutant concentrations relies on an accurate representation of the chemical state of the atmosphere. The task of providing the best possible analysis of air pollution thus requires efficient computational tools enabling efficient integration of observational data into models. A number of air quality models have been developed and play an important role in air quality management. Even though a large number of air quality models have been discussed or applied, their heterogeneity makes it difficult to select one approach above the others. This paper provides a brief review on air quality models with respect to several aspects such as prediction of health effects.
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Affiliation(s)
- Gea Oliveri Conti
- Environmental and Food Hygiene Laboratories (LIAA), Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, via Santa Sofia 87, 95123, Catania, Italy.
| | - Behzad Heibati
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Itai Kloog
- Department of Environmental Health, Harvard University, Landmark Center, 401 Park Drive, Boston, 02215, Massachusetts, USA
| | - Maria Fiore
- Environmental and Food Hygiene Laboratories (LIAA), Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, via Santa Sofia 87, 95123, Catania, Italy
| | - Margherita Ferrante
- Environmental and Food Hygiene Laboratories (LIAA), Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", University of Catania, via Santa Sofia 87, 95123, Catania, Italy
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31
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The short-term effects of air pollutants on respiratory disease mortality in Wuhan, China: comparison of time-series and case-crossover analyses. Sci Rep 2017; 7:40482. [PMID: 28084399 PMCID: PMC5234024 DOI: 10.1038/srep40482] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 12/06/2016] [Indexed: 01/01/2023] Open
Abstract
Few studies have compared different methods when exploring the short-term effects of air pollutants on respiratory disease mortality in Wuhan, China. This study assesses the association between air pollutants and respiratory disease mortality with both time-series and time-stratified-case-crossover designs. The generalized additive model (GAM) and the conditional logistic regression model were used to assess the short-term effects of air pollutants on respiratory disease mortality. Stratified analyses were performed by age, sex, and diseases. A 10 μg/m3 increment in SO2 level was associated with an increase in relative risk for all respiratory disease mortality of 2.4% and 1.9% in the case-crossover and time-series analyses in single pollutant models, respectively. Strong evidence of an association between NO2 and daily respiratory disease mortality among men or people older than 65 years was found in the case-crossover study. There was a positive association between air pollutants and respiratory disease mortality in Wuhan, China. Both time-series and case-crossover analyses consistently reveal the association between three air pollutants and respiratory disease mortality. The estimates of association between air pollution and respiratory disease mortality from the case-crossover analysis displayed greater variation than that from the time-series analysis.
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32
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Tuan TS, Venâncio TS, Nascimento LFC. Effects of Air Pollutant Exposure on Acute Myocardial Infarction, According to Gender. Arq Bras Cardiol 2016; 107:216-222. [PMID: 27533257 PMCID: PMC5053189 DOI: 10.5935/abc.20160117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 05/03/2016] [Indexed: 11/20/2022] Open
Abstract
Background: There is evidence of the effects of air pollution on hospital admissions due
to cardiovascular diseases, including myocardial infarction. Objective: To estimate the association between exposure to air pollutants and hospital
admissions due to myocardial infarction according to gender, between January
1st 2012 and December 31st 2013, in São
Jose dos Campos-SP. Methods: An ecological time series study was carried out with daily data of admissions
due to AMI, pollutants CO, O3, PM10, SO2,
and NO2, according to gender. We used the Poisson regression
generalized linear model to estimate the relative risks of hospital
admissions with lags of 0-5 days, adjusted for temperature, humidity,
seasonality and days of the week. Results: There were 1837 admissions for ischemic heart diseases, with 636 women and
1201 men. For females, the risks were significant for CO in lag 0 (RR =
1,09), lag1 (RR = 1,08) and lag 5 (RR = 1,10) and SO2 in lag 0
(RR = 1,10) and 3 (RR = 1,09). For men there was significance of the CO in,
lag 3 and lag 5 (RR = 1,05). There was significance, regardless of gender,
for CO at lag 1 (RR = 1,05) and lag 5 (RR = 1,07) and lag 0 for
SO2 (RR = 1,06). Conclusion: The data presented show the important role of CO and SO2 in the
genesis of myocardial infarction admissions, and responses to pollutant
exposure are different if analyzed by gender and together - hence the
importance of a stratified analyses.
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Affiliation(s)
- Tássia Soldi Tuan
- Departamento de Medicina - Universidade de Taubaté,Taubaté, SP - Brazil
| | | | - Luiz Fernando Costa Nascimento
- Departamento de Medicina - Universidade de Taubaté,Taubaté, SP - Brazil.,Departamento de Energia - Universidade Estadual Paulista - Campus de Guaratinguetá,Guaratinguetá, SP - Brazil
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Zúñiga J, Tarajia M, Herrera V, Urriola W, Gómez B, Motta J. Assessment of the Possible Association of Air Pollutants PM10, O3, NO2 With an Increase in Cardiovascular, Respiratory, and Diabetes Mortality in Panama City: A 2003 to 2013 Data Analysis. Medicine (Baltimore) 2016; 95:e2464. [PMID: 26765444 PMCID: PMC4718270 DOI: 10.1097/md.0000000000002464] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
In recent years, Panama has experienced a marked economic growth, and this, in turn, has been associated with rapid urban development and degradation of air quality. This study is the first evaluation done in Panama on the association between air pollution and mortality. Our objective was to assess the possible association between monthly levels of PM10, O3, and NO2, and cardiovascular, respiratory, and diabetes mortality, as well as the seasonal variation of mortality in Panama City, Panama.The study was conducted in Panama City, using air pollution data from January 2003 to December 2013. We utilized a Poisson regression model based on generalized linear models, to evaluate the association between PM10, NO2, and O3 exposure and mortality from diabetes, cardiovascular, and respiratory diseases. The sample size for PM10, NO2, and O2 was 132, 132, and 108 monthly averages, respectively.We found that levels of PM10, O3, and NO2 were associated with increases in cardiovascular, respiratory, and diabetes mortality. For PM10 levels ≥ 40 μg/m3, we found an increase in cardiovascular mortality of 9.7% (CI 5.8-13.6%), and an increase of 12.6% (CI 0.2-24.2%) in respiratory mortality. For O3 levels ≥ 20 μg/m3 we found an increase of 32.4% (IC 14.6-52.9) in respiratory mortality, after a 2-month lag period following exposure in the 65 to <74 year-old age group. For NO2 levels ≥20 μg/m3 we found an increase in respiratory mortality of 11.2% (IC 1.9-21.3), after a 2-month lag period following exposure among those aged between 65 and <74 years.There could be an association between the air pollution in Panama City and an increase in cardiovascular, respiratory, and diabetes mortality. This study confirms the urgent need to improve the measurement frequency of air pollutants in Panama.
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Affiliation(s)
- Julio Zúñiga
- From the Gorgas Memorial Institute for Health Studies (JZ, VH, BG, JM); Centro de Biología Molecular y Celular de Enfermedades, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (MT); Región de Panamá Oeste, Caja de Seguro Social, Panama City, Panama (MT); and Institute of Specialized Analysis of the University of Panama, Miraflores, Panama City, Panama (WU)
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Zaky A, Ahmad A, Dell'Italia LJ, Jahromi L, Reisenberg LA, Matalon S, Ahmad S. Inhaled matters of the heart. ACTA ACUST UNITED AC 2015; 2. [PMID: 26665179 DOI: 10.14800/crm.997] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Inhalations of atmospheric pollutants, especially particulate matters, are known to cause severe cardiac effects and to exacerbate preexisting heart disease. Heart failure is an important sequellae of gaseous inhalation such as that of carbon monoxide. Similarly, other gases such as sulphur dioxide are known to cause detrimental cardiovascular events. However, mechanisms of these cardiac toxicities are so far unknown. Increased susceptibility of the heart to oxidative stress may play a role. Low levels of antioxidants in the heart as compared to other organs and high levels of reactive oxygen species produced due to the high energetic demand and metabolic rate in cardiac muscle are important in rendering this susceptibility. Acute inhalation of high concentrations of halogen gases is often fatal. Severe respiratory injury and distress occurs upon inhalation of halogens gases, such as chlorine and bromine; however, studies on their cardiac effects are scant. We have demonstrated that inhalation of high concentrations of halogen gases cause significant cardiac injury, dysfunction, and failure that can be critical in causing mortalities following exposures. Our studies also demonstrated that cardiac dysfunction occurs as a result of a direct insult independent of coexisting hypoxia, since it is not fully reversed by oxygen supplementation. Therefore, studies on offsite organ effects of inhaled toxic gases can impact development of treatment strategies upon accidental or deliberate exposures to these agents. Here we summarize the knowledge of cardiovascular effects of common inhaled toxic gases with the intent to highlight the importance of consideration of cardiac symptoms while treating the victims.
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Affiliation(s)
- Ahmed Zaky
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Alabama ; Department of Medicine, Birmingham Veteran Affairs Medical Center, Birmingham, Alabama and Division of Cardiovascular Disease, University of Alabama Medical Center, Birmingham, Alabama
| | - Aftab Ahmad
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Alabama
| | - Louis J Dell'Italia
- Department of Medicine, Birmingham Veteran Affairs Medical Center, Birmingham, Alabama and Division of Cardiovascular Disease, University of Alabama Medical Center, Birmingham, Alabama
| | - Leila Jahromi
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Alabama
| | - Lee Ann Reisenberg
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Alabama
| | - Sadis Matalon
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Alabama
| | - Shama Ahmad
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Alabama
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