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Kim MG, Lee SJ, Park D, Kim CH, Lee KH, Hwang JM. Relationship between the actual fine dust concentration and media exposure that influenced the changes in outdoor activity behavior in South Korea. Sci Rep 2020; 10:12006. [PMID: 32686706 PMCID: PMC7371889 DOI: 10.1038/s41598-020-68580-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 06/29/2020] [Indexed: 11/09/2022] Open
Abstract
The one reason of the decrease of walking time for adults in South Korea among various factors is the sense of fear about fine dust sparked by media reports, which has created a negative perception of fine dust. This study aimed to assess the change in concentration of fine dust, as well as individuals' walking time and health status, in South Korea, and to investigate the relationship between the media reports on fine dust. Using the national government statistics data, we analyzed the relationship between walking time, concentration of fine dust, and amount of media reports on fine dust. From 2008 to 2017, the average walking time and PM10 levels decreased from 76.17 to 49.47 min and 52 to 45 μg/m3; whereas PM10 media frequency increased from 349 to 9,234. No positive correlation existed between walking time in South Korea and exposure to fine dust. However, media reports on fine dust increased steadily from 2012 and peaked in 2015. The decrease in average walking time in South Korea was due to the negative perception created by the increase in media reports on fine dust, rather than the increase in the actual concentration of fine dust.
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Affiliation(s)
- Myung-Gwan Kim
- Graduate School of Public Health, Kyungpook National University, Daegu, South Korea
| | - Su-Jin Lee
- Graduate School of Public Health, Kyungpook National University, Daegu, South Korea
| | - Donghwi Park
- Department of Physical Medicine and Rehabilitation, Ulsan University Hospital, Ulsan, South Korea.,University of Ulsan College of Medicine, Dong-gu, Ulsan, South Korea
| | - Chul-Hyun Kim
- Department of Rehabilitation Medicine, Kyungpook National University Hospital, 200 Dongduk-ro Jung-gu, Daegu, 700-721, South Korea.,Department of Rehabilitation Medicine, School of Medicine, Kyungpook National University, 200 Dongduk-ro Jung-gu, Daegu, 700-721, South Korea
| | - Ki- Hoon Lee
- Mompyeonhan Rehabilitation Clinic, Daegu, South Korea
| | - Jong-Moon Hwang
- Department of Rehabilitation Medicine, Kyungpook National University Hospital, 200 Dongduk-ro Jung-gu, Daegu, 700-721, South Korea. .,Department of Rehabilitation Medicine, School of Medicine, Kyungpook National University, 200 Dongduk-ro Jung-gu, Daegu, 700-721, South Korea.
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Arku RE, Brauer M, Ahmed SH, AlHabib KF, Avezum Á, Bo J, Choudhury T, Dans AM, Gupta R, Iqbal R, Ismail N, Kelishadi R, Khatib R, Koon T, Kumar R, Lanas F, Lear SA, Wei L, Lopez-Jaramillo P, Mohan V, Poirier P, Puoane T, Rangarajan S, Rosengren A, Soman B, Caklili OT, Yang S, Yeates K, Yin L, Yusoff K, Zatoński T, Yusuf S, Hystad P. Long-term exposure to outdoor and household air pollution and blood pressure in the Prospective Urban and Rural Epidemiological (PURE) study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 262:114197. [PMID: 32146361 PMCID: PMC7767575 DOI: 10.1016/j.envpol.2020.114197] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 01/27/2020] [Accepted: 02/14/2020] [Indexed: 05/25/2023]
Abstract
Exposure to air pollution has been linked to elevated blood pressure (BP) and hypertension, but most research has focused on short-term (hours, days, or months) exposures at relatively low concentrations. We examined the associations between long-term (3-year average) concentrations of outdoor PM2.5 and household air pollution (HAP) from cooking with solid fuels with BP and hypertension in the Prospective Urban and Rural Epidemiology (PURE) study. Outdoor PM2.5 exposures were estimated at year of enrollment for 137,809 adults aged 35-70 years from 640 urban and rural communities in 21 countries using satellite and ground-based methods. Primary use of solid fuel for cooking was used as an indicator of HAP exposure, with analyses restricted to rural participants (n = 43,313) in 27 study centers in 10 countries. BP was measured following a standardized procedure and associations with air pollution examined with mixed-effect regression models, after adjustment for a comprehensive set of potential confounding factors. Baseline outdoor PM2.5 exposure ranged from 3 to 97 μg/m3 across study communities and was associated with an increased odds ratio (OR) of 1.04 (95% CI: 1.01, 1.07) for hypertension, per 10 μg/m3 increase in concentration. This association demonstrated non-linearity and was strongest for the fourth (PM2.5 > 62 μg/m3) compared to the first (PM2.5 < 14 μg/m3) quartiles (OR = 1.36, 95% CI: 1.10, 1.69). Similar non-linear patterns were observed for systolic BP (β = 2.15 mmHg, 95% CI: -0.59, 4.89) and diastolic BP (β = 1.35, 95% CI: -0.20, 2.89), while there was no overall increase in ORs across the full exposure distribution. Individuals who used solid fuels for cooking had lower BP measures compared to clean fuel users (e.g. 34% of solid fuels users compared to 42% of clean fuel users had hypertension), and even in fully adjusted models had slightly decreased odds of hypertension (OR = 0.93; 95% CI: 0.88, 0.99) and reductions in systolic (-0.51 mmHg; 95% CI: -0.99, -0.03) and diastolic (-0.46 mmHg; 95% CI: -0.75, -0.18) BP. In this large international multi-center study, chronic exposures to outdoor PM2.5 was associated with increased BP and hypertension while there were small inverse associations with HAP.
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Affiliation(s)
- Raphael E Arku
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA; School of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada.
| | - Michael Brauer
- School of Population and Public Health, The University of British Columbia, Vancouver, BC, Canada
| | | | | | - Álvaro Avezum
- Dante Pazzanese Institute of Cardiology and University of Santo Amaro, São Paulo, Brazil
| | - Jian Bo
- Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | | | | | - Rajeev Gupta
- Eternal Heart Care Centre and Research Institute, Jaipur, India
| | - Romaina Iqbal
- Departments of Community Health Sciences and Medicine, The Aga Khan University, Karachi, Pakistan
| | | | - Roya Kelishadi
- Cardiovascular Research Institute, Isfahan University of Medical Sciences, Iran
| | - Rasha Khatib
- Advocate Research Institute, Advocate Health Care, Downers Grove, IL, USA
| | - Teo Koon
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
| | - Rajesh Kumar
- School of Public Health, PGIMER, Chandigarh, India
| | | | | | - Li Wei
- Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | | | | | - Paul Poirier
- Université Laval and Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Canada
| | - Thandi Puoane
- School of Public Health, University of the Western Cape, Bellville, South Africa
| | - Sumathy Rangarajan
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
| | - Annika Rosengren
- University of Gothenburg and Sahlgrenska University Hospital Gothenburg, Sweden
| | - Biju Soman
- Sree Chitra Tirunal Institute for Medical Sciences & Technology, Trivandrum, Kerala, India
| | - Ozge Telci Caklili
- Istanbul University, Faculty of Medicine, Department of Endocrinology and Metabolism, Turkey
| | - Shunyun Yang
- Center for Disease Control and Prevention, Yunnan, China
| | | | - Lu Yin
- Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Khalid Yusoff
- UCSI University, Kuala Lumpur, Malaysia & Universiti Teknologi MARA, Selayang, Malaysia
| | - Tomasz Zatoński
- Department of Otolaryngology Head and Neck Surgery, Medical University, Wrocław, Poland
| | - Salim Yusuf
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
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Guan T, Xue T, Wang X, Zheng Y, Guo J, Kang Y, Chen Z, Zhang L, Zheng C, Jiang L, Yang Y, Zhang Q, Wang Z, Gao R. Geographic variations in the blood pressure responses to short-term fine particulate matter exposure in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 722:137842. [PMID: 32197160 DOI: 10.1016/j.scitotenv.2020.137842] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Revised: 03/07/2020] [Accepted: 03/08/2020] [Indexed: 06/10/2023]
Abstract
Results from recent studies on associations between blood pressure (BP) and short-term exposure to fine particulate matter (PM2.5) have been inconsistent. Most studies have been evaluations of small geographic areas, with no national study in China. This study aimed to examine the acute BP responses to ambient PM2.5 among the general population of Chinese adults. During 2012-2015, systolic and diastolic BP levels were obtained from a large national representative sample, the China Hypertension Survey database (n = 479,842). Daily PM2.5 average exposures with a spatial resolution of 0.1° were estimated using a data assimilation that combines satellite measurements, air model simulations, and monitoring values. Overall, a 10-μg/m3 increase in daily PM2.5 was associated with a 0.035 (95% confidence interval: 0.020, 0.049) mmHg change in systolic BP and 0.001 (-0.008, 0.011) mmHg in diastolic BP after adjustments. Stratified by geographic regions, the systolic and diastolic BP levels varied from -0.050 (-0.109, 0.010) to 0.242 (0.176, 0.307) mmHg, and from -0.026 (-0.053, 0.001) to 0.051 (0.020, 0.082) mmHg, respectively. Statistically significant positive BP-PM2.5 associations were only found in South and North China for systolic levels and in Southwest China for diastolic levels. We further explored the regional study population characteristics and exposure-response curves, and found that the geographic variations in BP-PM2.5 associations were probably due to different population compositions or different PM2.5 exposure levels. Our study provided national-level evidence on the associations between ambient PM2.5 exposure and elevated BP levels. The magnitude of the estimated associations varied substantially by geographic location in China. CLINICAL TRIAL REGISTRATION: The Clinical trial registration name was Survey on prevalence of hypertension in China; the registration number was ChiCTR-ECS-14004641. http://www.chictr.org.cn/showproj.aspx?proj=4932.
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Affiliation(s)
- Tianjia Guan
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
| | - Tao Xue
- Institute of Reproductive and Child Health/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Xin Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Yixuan Zheng
- Department of Earth System Science, Tsinghua University, Beijing 100084, China.
| | - Jian Guo
- Department of Cardiology and Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
| | - Yuting Kang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Zuo Chen
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Linfeng Zhang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Congyi Zheng
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Linlin Jiang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China.
| | - Ying Yang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Qiang Zhang
- Department of Earth System Science, Tsinghua University, Beijing 100084, China.
| | - Zengwu Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China.
| | - Runlin Gao
- Department of Cardiology, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100037, China.
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Wang X, Tian J, Li Z, Lai J, Huang X, He Y, Ye Z, Li G. Relationship between different particle size fractions and all-cause and cause-specific emergency ambulance dispatches. Environ Health 2020; 19:69. [PMID: 32552755 PMCID: PMC7301562 DOI: 10.1186/s12940-020-00619-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 05/29/2020] [Indexed: 05/29/2023]
Abstract
BACKGROUND Evidence on the relationship between different particle size fractions and emergency ambulance dispatches (EAD) remains limited and sparse. METHODS We collected daily data of EAD, ambient air pollution and meteorological data from 2014 to 2018 in Guangzhou, China. We used a generalized additive model with covariate adjustments to estimate the associations between different particle size fractions and EAD related to all-cause, cardiovascular diseases, and respiratory diseases. Several subgroup and sensitivity analyses were also performed. RESULTS Significant associations were observed between PM2.5, PM2.5-10, PM10 and EADs. A 10 μg/m3 increase of PM2.5, PM2.5-10, and PM10 was associated with an increase of 0.98% (95% CI: 0.67, 1.28%), 2.06% (95% CI: 1.44, 2.68%), and 0.75% (95%CI: 0.53, 0.96%) in all-cause EAD, with an increase of 0.69% (95% CI: 0.00, 1.39%), 2.04% (95% CI: 0.64, 3.45%), and 0.60% (95%CI: 0.11,1.10%) in cardiovascular-related EAD, and an increase of 1.14% (95% CI: 0.25, 2.04%), 2.52% (95% CI: 0.72, 4.35%), and 0.89% (95%CI: 0.25,1.52%) in respiratory-related EAD at lag03, respectively. The results were robust in subgroup and sensitivity analyses. CONCLUSIONS This study revealed that PM2.5, PM2.5-10 and PM10 were significantly related with risks of all-cause and cause-specific EAD. More evidence of high quality may be needed to further support our results in this ecological study.
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Affiliation(s)
- Xiaojie Wang
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Junzhang Tian
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Ziyi Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Jun Lai
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Xin Huang
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yongcong He
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Zebing Ye
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou, China.
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China.
- Department of Health research methods, Evidence, and Impact (HEI), McMaster University, 1280 Main St West, Hamilton, ON, L8S 4L8, Canada.
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Tan YQ, Rashid SKA, Pan WC, Chen YC, Yu LE, Seow WJ. Association between microenvironment air quality and cardiovascular health outcomes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 716:137027. [PMID: 32044485 DOI: 10.1016/j.scitotenv.2020.137027] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 01/29/2020] [Accepted: 01/29/2020] [Indexed: 06/10/2023]
Abstract
Exposure to fine particulate matter (PM2.5) is associated with cardiovascular disease risk. To date, there are few studies on short-term PM2.5 exposure in different microenvironments and its impact on immediate health effects, particularly in the Southeast Asia region. This study assessed PM2.5 concentrations in different microenvironments in a densely populated city in the tropics using low-cost personal PM2.5 sensors as well as their associations with acute cardiovascular health outcomes. A total of 49 adult participants affiliated with the National University of Singapore (NUS) community were recruited. Personal low-cost sensors were used to measure PM2.5 concentrations between September 2017 and March 2019. Demographic information and time-activity patterns were collected using questionnaires. Wilcoxon pairwise comparisons were used to determine statistical differences between PM2.5 exposures at 18 different microenvironments. Generalized Estimating Equations (GEE) models were used to assess the association between PM2.5 exposure and blood pressure as well as heart rate. All models were adjusted for age, sex, body mass index, physical activity, temperature, duration of exposure, and baseline cardiovascular parameters. Significant differences in PM2.5 concentrations were observed across different microenvironments. Air-conditioned offices and tertiary teaching spaces had the lowest (median = 13.1 μg/m3) and hawker centres had the highest (median = 32.0 μg/m3) PM2.5 concentrations. Significant positive associations between PM2.5 exposure and heart rate (β = 0.40, p = 4.6 × 10-5) as well as diastolic blood pressure (β = 0.16, p = 0.0077) were also observed. Short-term exposure to PM2.5 was significantly associated with higher heart rate and blood pressure. Further work is needed to investigate the variations within each type of microenvironment and expand the study to other sub-populations such as the elderly and children.
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Affiliation(s)
- Yue Qian Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - S K Abdur Rashid
- Department of Civil & Environmental Engineering, National University of Singapore and NUS Environmental Research Institute, Singapore
| | - Wen-Chi Pan
- Institute of Environmental and Occupational Health Sciences, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Yu-Cheng Chen
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Liya E Yu
- Department of Civil & Environmental Engineering, National University of Singapore and NUS Environmental Research Institute, Singapore
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore.
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Exposure to Submicron Particles and Estimation of the Dose Received by Children in School and Non-School Environments. ATMOSPHERE 2020. [DOI: 10.3390/atmos11050485] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
In the present study, the daily dose in terms of submicron particle surface area received by children attending schools located in three different areas (rural, suburban, and urban), characterized by different outdoor concentrations, was evaluated. For this purpose, the exposure to submicron particle concentration levels of the children were measured through a direct exposure assessment approach. In particular, measurements of particle number and lung-deposited surface area concentrations at “personal scale” of 60 children were performed through a handheld particle counter to obtain exposure data in the different microenvironments they resided. Such data were combined with the time–activity pattern data, characteristics of each child, and inhalation rates (related to the activity performed) to obtain the total daily dose in terms of particle surface area. The highest daily dose was estimated for children attending the schools located in the urban and suburban areas (>1000 mm2), whereas the lowest value was estimated for children attending the school located in a rural area (646 mm2). Non-school indoor environments were recognized as the most influential in terms of children’s exposure and, thus, of received dose (>70%), whereas school environments contribute not significantly to the children daily dose, with dose fractions of 15–19% for schools located in urban and suburban areas and just 6% for the rural one. Therefore, the study clearly demonstrates that, whatever the school location, the children daily dose cannot be determined on the basis of the exposures in outdoor or school environments, but a direct assessment able to investigate the exposure of children during indoor environment is essential.
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Ran J, Sun S, Han L, Zhao S, Chen D, Guo F, Li J, Qiu H, Lei Y, Tian L. Fine particulate matter and cause-specific mortality in the Hong Kong elder patients with chronic kidney disease. CHEMOSPHERE 2020; 247:125913. [PMID: 31962222 DOI: 10.1016/j.chemosphere.2020.125913] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/31/2019] [Accepted: 01/12/2020] [Indexed: 06/10/2023]
Abstract
Emerging epidemiologic studies suggested that particulate matter (PM) was a risk factor for the incidence of chronic kidney disease (CKD). However, few studies were conducted to examine whether PM was associated with cause-specific deaths in the CKD progression. This study aimed to estimate the association between fine particulate matter (PM2.5) and a spectrum of deaths among CKD patients. We took leverage of the Elderly Health Service cohort (n = 66,820), a large Hong Kong elderly cohort followed up till 2010. A total of 902 CKD incident patients in the cohort were identified during the follow-up period. We estimated yearly PM2.5 at the residential address for each CKD patient based on a satellite-based spatiotemporal model. We used Cox proportional hazards models with attained age as the underlying timescale to assess the association between long-term exposure to PM2.5 and cause-specific mortality among CKD patients. A total of 496 patients died during the follow-up, where 147 died from cardiovascular disease, 61 from respiratory disease and 154 from renal failure. The mortality hazard ratio (HR) per interquartile-range increase in PM2.5 (4.0 μg/m3) was 1.97 (95% confidence interval (CI): 1.34 to 2.91) for ischemic heart disease (IHD) among CKD patients, and was 1.42 (95%CI: 1.05 to 1.93) for CKD among those patients concomitantly with hypertension. Associations were not of statistical significance between PM2.5 and mortality hazard ratios of all-cause, stroke, and pneumonia among CKD patients. Our findings suggest that long-term exposure to PM2.5 may contribute to the CKD progression into ischemic heart diseases.
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Affiliation(s)
- Jinjun Ran
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China
| | - Shengzhi Sun
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, 02912, USA
| | - Lefei Han
- School of Nursing, The Hong Kong Polytechnic University, China
| | - Shi Zhao
- Department of Applied Mathematics, The Hong Kong Polytechnic University, China
| | - Dieyi Chen
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Fang Guo
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China
| | - Jinhui Li
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China
| | - Hong Qiu
- Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, China
| | - Yujie Lei
- Department of Thoracic Surgery I, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming, China.
| | - Linwei Tian
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, China.
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Abstract
OBJECTIVE The present study aims to describe a widely held misconception in the literature concerning preoperative hypertension diagnosis. The blood pressure elevation occurring in the operative room is seen commonly even in subjects considered hitherto fully normotensive. As these patients have a condition which - similar to White Coat Hypertension (WCH) - indicates the presence of hypertension, and thus necessitates more frequent intraoperative checks. METHODS We have named a condition 'Diagnosed in Operating Room (DIOR) with Hypertension', following the preoperative stage at which it is detected. RESULT Our observational study evaluated 718 elective noncardiac surgery adult patients, finding 28% of them (n = 204) to be 'DIOR-tensive' and thus at risk for suboptimal intraoperative care. CONCLUSION In addition to recommending a modification to the domain's best practices, we provide a preliminary description of DIOR hypertension patient identifying characteristics (older, higher body weight and BMI, and higher rates of chronic obstructive pulmonary disease, hypothyroidism and obesity), so that DIOR hypertension patients may be more readily identified, and that future research may build on the findings, and that the operating team may remain generally aware that this problem can occur and be dealt with regardless of the patient's medical history.
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Li N, Chen G, Liu F, Mao S, Liu Y, Liu S, Mao Z, Lu Y, Wang C, Guo Y, Xiang H, Li S. Associations between long-term exposure to air pollution and blood pressure and effect modifications by behavioral factors. ENVIRONMENTAL RESEARCH 2020; 182:109109. [PMID: 32069739 PMCID: PMC7043011 DOI: 10.1016/j.envres.2019.109109] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 12/31/2019] [Accepted: 12/31/2019] [Indexed: 05/21/2023]
Abstract
BACKGROUND Studies on the hypertensive effect of long-term air pollution exposure were inconclusive and showed scarce evidence from rural areas in developing countries. In this context, we examined the associations of air pollution exposure with hypertension and blood pressure, and their effect modifiers in rural Chinese adults. METHODS We studied 39,259 participants from a cohort established in five rural regions of central China. Individual exposures to PM2.5 and PM10 (particulate matter with an aerodynamic diameter less than or equal to 2.5 μm and 10 μm) and nitrogen dioxide (NO2) was evaluated using satellite-based spatiotemporal models. Mixed-effect regression models were applied to examine the associations of long-term exposure to air pollution with hypertension and four blood pressure component measurements, including systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP) and pulse pressure (PP). Several potential effect modifiers related to demographic and behavioral factors were also examined. RESULTS The results showed that for each 1 μg/m3 increase in PM2.5, PM10 and NO2, the adjusted odds ratio of hypertension was 1.029 (95%CI: 1.001,1.057), 1.015 (95%CI: 1.001, 1.029) and 1.069 (95%CI: 1.038, 1.100), respectively. These three air pollutants were also associated with increased SBP (except for PM10), DBP and MAP. The hypertensive effects of air pollution were more pronounced among males, smokers, drinkers, individuals with a high-fat diet, and those with high-level physical activity. CONCLUSION Long-term exposure to PM2.5, PM10 and NO2 was associated with increased blood pressure and hypertension in rural Chinese adults, and the associations were modified by several behavioral factors.
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Affiliation(s)
- Na Li
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China; Global Health Institute, Wuhan University, Wuhan, China
| | - Gongbo Chen
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China; Global Health Institute, Wuhan University, Wuhan, China
| | - Feifei Liu
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China; Global Health Institute, Wuhan University, Wuhan, China
| | - Shuyuan Mao
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China; Global Health Institute, Wuhan University, Wuhan, China
| | - Yisi Liu
- Department of Environmental and Occupational Health Sciences, University of Washington, 1959 NE Pacific Street, Seattle, USA
| | - Suyang Liu
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China; Global Health Institute, Wuhan University, Wuhan, China
| | - Zongfu Mao
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China; Global Health Institute, Wuhan University, Wuhan, China
| | - Yuanan Lu
- Environmental Health Laboratory, Department of Public Health Sciences, University Hawaii at Manoa, 1960 East West Rd, Biomed Bldg, D105, Honolulu, USA
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yuming Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou, China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Hao Xiang
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China; Global Health Institute, Wuhan University, Wuhan, China; Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Wuhan University, Wuhan, China.
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Song L, Smith GS, Adar SD, Post WS, Guallar E, Navas-Acien A, Kaufman JD, Jones MR. Ambient air pollution as a mediator in the pathway linking race/ethnicity to blood pressure elevation: The multi-ethnic study of atherosclerosis (MESA). ENVIRONMENTAL RESEARCH 2020; 180:108776. [PMID: 31639655 DOI: 10.1016/j.envres.2019.108776] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 09/24/2019] [Accepted: 09/25/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Racial/ethnic disparities in blood pressure and hypertension have been evident in previous studies, as were associations between race/ethnicity with ambient air pollution and those between air pollution with hypertension. The role of air pollution exposure to racial/ethnic differences in hypertension has not been explored. OBJECTIVE To assess the potential mediating effects of ambient air pollution on the association between race/ethnicity and blood pressure levels. METHODS We studied 6,463 White, Black, Hispanic and Chinese adults enrolled across 6 US cities. Systolic (SBP) and diastolic blood pressure (DBP) were measured at Exam 1 (2000-2002) and Exam 2 (2002-2004). Household-level annual average concentrations of fine particulate matter (PM2.5), oxides of nitrogen (NOX), and ozone (O3) for the year 2000 were estimated for participants. RESULTS The difference in SBP levels by race/ethnicity that was related to higher PM2.5 concentrations compared with White men ("indirect associations") was 0.3 (95% CI: 0.1, 0.6) mmHg for Black men, 0.3 (95% CI: 0.1, 0.6) mmHg for Hispanic men and 1.0 (95% CI: 0.2, 1.8) mmHg for Chinese men. Findings were similar although not statistically significant for women. PM2.5 did not mediate racial/ethnic differences in DBP. Indirect associations were significant for O3 for SBP among women and men and for DBP among men. In contrast, racial/ethnic disparities were attenuated due to exposure to NOX. CONCLUSION Racial disparities in blood pressure were reduced after accounting for PM2.5 and ozone while increased after accounting for NOX.
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Affiliation(s)
- Lanxin Song
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Genee S Smith
- Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sara D Adar
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Wendy S Post
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, School of Public Health, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
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Fan F, Wang S, Zhang Y, Xu D, Jia J, Li J, Li T, Zhang Y, Huo Y. Acute Effects of High-Level PM 2.5 Exposure on Central Blood Pressure. Hypertension 2019; 74:1349-1356. [PMID: 31630576 DOI: 10.1161/hypertensionaha.119.13408] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Central aortic blood pressure (BP) has been increasingly recognized as having a closer relationship with cardiovascular risks than peripheral BP. However, the effects of particulate matter pollution on central aortic BP have not been clearly demonstrated. In this study, we assessed the association between short-term ambient fine particulate matter (with an aerodynamic diameter ≤2.5 μm; PM2.5) exposure and central aortic BP in a Chinese community-based population. A total of 4715 visits were in our final analysis, including 2151 visits at the baseline and 2564 visits at the follow-up. Central aortic systolic BP (cSBP) was measured noninvasively using the method of radial artery tonometry with Omron HEM-9000AI machine. Data from air pollution monitoring stations were used to estimate daily PM2.5 exposure. Generalized additive mixed models with clinical and meteorologic covariates adjusted were used to examine the association between PM2.5 exposure and cSBP. The relationships between PM2.5 exposure and cSBP were nonlinear, and significant increments of cSBP were observed when the PM2.5 exposure concentration was above 100 μg/cm3. An interquartile range increase (80.25 μg/m3) in daily PM2.5 on the day of cSBP measurement (lag 0 day) was associated with 2.54 mm Hg (95% CI, 0.92-4.16) elevation in cSBP. The associations of PM2.5 with cSBP were not modified by age, sex, body mass index, medications, and comorbid diseases except for cardiovascular disease. Our findings demonstrated that short-term exposure to high concentration of ambient PM2.5 above 100 μg/cm3 was associated with significant increases in central aortic BP in a Chinese community-based population.
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Affiliation(s)
- Fangfang Fan
- From the Department of Cardiology (F.F., J.J., J.L., Yan Zhang, Y.H.), Peking University First Hospital, Beijing, China
| | - Shixuan Wang
- Department of Respiration (S.W.), Peking University First Hospital, Beijing, China
| | - Yi Zhang
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China (Yi Zhang, D.X., T.L.)
| | - Dandan Xu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China (Yi Zhang, D.X., T.L.).,Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China (D.X.)
| | - Jia Jia
- From the Department of Cardiology (F.F., J.J., J.L., Yan Zhang, Y.H.), Peking University First Hospital, Beijing, China
| | - Jianping Li
- From the Department of Cardiology (F.F., J.J., J.L., Yan Zhang, Y.H.), Peking University First Hospital, Beijing, China
| | - Tiantian Li
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China (Yi Zhang, D.X., T.L.)
| | - Yan Zhang
- From the Department of Cardiology (F.F., J.J., J.L., Yan Zhang, Y.H.), Peking University First Hospital, Beijing, China
| | - Yong Huo
- From the Department of Cardiology (F.F., J.J., J.L., Yan Zhang, Y.H.), Peking University First Hospital, Beijing, China
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Gilbey SE, Reid CM, Huxley RR, Soares MJ, Zhao Y, Rumchev K. Associations Between Sub-Clinical Markers of Cardiometabolic Risk and Exposure to Residential Indoor Air Pollutants in Healthy Adults in Perth, Western Australia: A Study Protocol. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16193548. [PMID: 31546738 PMCID: PMC6801858 DOI: 10.3390/ijerph16193548] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 09/17/2019] [Accepted: 09/20/2019] [Indexed: 11/16/2022]
Abstract
BACKGROUND A growing body of epidemiological and clinical evidence has implicated air pollution as an emerging risk factor for cardiometabolic disease. Whilst individuals spend up to two-thirds of daily time in their domestic residential environment, very few studies have been designed to objectively measure the sub-clinical markers of cardiometabolic risk with exposure to domestic indoor air pollutants. This cross-sectional study aims to investigate associations between the components of domestic indoor air quality and selected sub-clinical cardiometabolic risk factors in a cohort of healthy adults living in Perth, Western Australia. METHODS One hundred and eleven non-smoking adults (65% female) living in non-smoking households who were aged between 35-69 years were recruited for the project. Study subjects were invited to participate in all sections of the study, which included: Domestic indoor air monitoring along with the concurrent 24 h ambulatory monitoring of peripheral and central blood pressure and measures of central hemodynamic indices, standardized questionnaires on aspects relating to current health status and the domestic environment, a 24 h time-activity diary during the monitoring period, and clinic-based health assessment involving collection of blood and urine biomarkers for lipid and glucose profiles, as well as measures of renal function and an analysis of central pulse wave and pulse wave velocity. RESULTS This study provides a standardized approach to the study of sub-clinical cardiometabolic health effects that are related to the exposure to indoor air pollution. CONCLUSION The findings of this study may provide direction for future research that will further contribute to our understanding of the relationship that exists between indoor air pollution and sub-clinical markers of cardiometabolic risk.
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Affiliation(s)
- Suzanne E Gilbey
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
| | - Christopher M Reid
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
- School of Public Health and Preventative Medicine, Monash University, Melbourne, VIC 3800, Australia.
| | - Rachel R Huxley
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
- College of Science, La Trobe University, Melbourne, VIC 3086, Australia.
| | - Mario J Soares
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
| | - Yun Zhao
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
| | - Krassi Rumchev
- School of Public Health, Curtin University, Perth, WA 6148, Australia.
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The Association between Air Pollution and Sleep Duration: A Cohort Study of Freshmen at a University in Beijing, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16183362. [PMID: 31514480 PMCID: PMC6766077 DOI: 10.3390/ijerph16183362] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/05/2019] [Accepted: 09/06/2019] [Indexed: 12/12/2022]
Abstract
Background: Rising levels of air pollution in Beijing, China have become a serious environmental issue affecting human health, and young adults are experiencing high rates of insufficient sleep duration or a lack of sleep. Gaps in previous research remain regarding the relationship between air pollution and sleep duration among young adults. The purpose of this study is to assess the associations between air pollution and sleep duration among college students living in Beijing, China. Methods: We conducted follow-up health surveys on 16,889 freshman students enrolled at Tsinghua University over a five-year study period (2013–2018). Sleep duration was measured using the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), which has been validated in China to measure sleep duration. Corresponding levels of the average hourly air quality index (AQI), PM2.5 (µg/m3), PM10 (µg/m3), and NO2 (µg/m3) were gathered from data provided by the Beijing Municipal Ecological Environment Bureau in a closed site at Tsinghua University. Multilevel mixed-effects linear regression models were used to analyze the data. Results: One standard deviation increase in air pollution concentration in AQI, PM2.5, PM10, and NO2 was associated with a reduction in daily hours of sleep by 0.68 (95% confidence interval (CI) = 0.63, 0.73), 0.55 (95% CI = 0.51, 0.59), 0.70 (95% CI = 0.64, 0.76), and 0.51 (95% CI = 0.47, 0.54), respectively. Conclusions: Air pollution was associated with a reduction in sleep duration among freshman students living in Beijing, China. Replication of this study is warranted among various populations within China.
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An R, Shen J, Ying B, Tainio M, Andersen ZJ, de Nazelle A. Impact of ambient air pollution on physical activity and sedentary behavior in China: A systematic review. ENVIRONMENTAL RESEARCH 2019; 176:108545. [PMID: 31280030 DOI: 10.1016/j.envres.2019.108545] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 06/14/2019] [Accepted: 06/17/2019] [Indexed: 06/09/2023]
Abstract
This study systematically reviewed scientific evidence linking ambient air pollution to physical activity and sedentary behavior in China. A keyword and reference search was conducted in PubMed, Web of Science, and the Cochrane Library. Predetermined selection criteria included-study designs: interventions or experiments, retrospective or prospective cohort studies, cross-sectional studies, and case-control studies; subjects: people of all ages; exposures: specific air pollutants and/or overall air quality; outcomes: physical activity and/or sedentary behavior; and country/area: mainland China. Ten studies met the selection criteria and were included in the review. Six adopted a cross-sectional design and the remaining four adopted a prospective cohort design. Four studies assessed a specific air pollutant namely particulate matter with diameter <2.5 μg/m3 (PM2.5), whereas the remaining six focused on overall air quality, defined using air quality indexes. Decline in overall air quality and increase in PM2.5 concentration were found to be associated with reduced daily/weekly duration of outdoor leisure-time and/or transportation-related physical activity such as walking but increased duration of daytime/nighttime sleeping among Chinese residents. In contrast, evidence linking overall air quality and PM2.5 concentration to sedentary behavior remains mixed and inconclusive. In conclusion, preliminary evidence indicates that ambient air pollution impacts Chinese residents' daily physical activity-related behaviors. Future studies adopting objective measures of physical activity and a longitudinal or experimental study design are warranted to examine the impact of air pollution on sensitive sub-populations such as children, older adults and people with pre-existing conditions, and in locations outside China.
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Affiliation(s)
- Ruopeng An
- Guangzhou Sport University, Guangzhou, Guangdong, China; Brown School, Washington University, St. Louis, MO, USA
| | - Jing Shen
- College of Education, Beijing Sport University, Beijing, China.
| | - Binbin Ying
- Shanghai University of Sport, Shanghai, China
| | - Marko Tainio
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK; Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
| | | | - Audrey de Nazelle
- Centre for Environmental Policy, Imperial College London, London, UK
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Wang X, Zou Z, Dong B, Dong Y, Ma Y, Gao D, Yang Z, Wu S, Ma J. Association of School Residential PM 2.5 with Childhood High Blood Pressure: Results from an Observational Study in 6 Cities in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16142515. [PMID: 31337125 PMCID: PMC6678215 DOI: 10.3390/ijerph16142515] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 07/04/2019] [Accepted: 07/12/2019] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To investigate the association of long-term PM2.5 exposure with blood pressure (BP) outcomes in children aged 6-18 years, and to examine the population attributable risk (PAR) of PM2.5 exposure. METHODS A total of 53,289 participants aged 6-18 years with full record of age, sex, BP, height, and local PM2.5 exposure from a cross-sectional survey conducted in 6 cities of China in 2013 were involved in the present study. PM2.5 data from 18 January 2013 to 31 December 2013 were obtained from the nearest environmental monitoring station for each selected school. Two-level linear and logistic regression models were used to evaluate the influence of PM2.5 on children's BP, and PAR was calculated in each sex and age group. RESULTS Participants had a mean age of 10.8 (standard deviation: 3.4) years at enrollment, 51.7% of them were boys. U-shaped trends along with increased PM2.5 concentration were found for both systolic blood pressure (SBP) and diastolic blood pressure (DBP), with the thresholds of 57.8 and 65.0 μg/m3, respectively. Both increased annual mean of PM2.5 concentration and ratio of polluted days were associated with increased BP levels and high blood pressure (HBP), with effect estimates for BP ranging from 2.80 (95% CI: -0.51, 6.11) mmHg to 5.78 (95% CI: 2.32, 9.25) mmHg for SBP and from 0.77 (95% CI: -1.98, 3.52) mmHg to 2.66 (-0.35, 5.66) mmHg for DBP, and the odds ratios for HBP from 1.21 (0.43, 3.38) to 1.92 (0.65, 5.67) in the highest vs. the lowest quartiles. Overall, 1.16% of HBP in our participants could be attributed to increased annual mean of PM2.5 concentration, while 2.82% could be attributed to increased ratio of polluted days. These proportions increased with age. CONCLUSIONS The association between long-term PM2.5 exposure and BP values appeared to be U-shaped in Chinese children aged 6-18 years, and increased PM2.5 exposure was associated with higher risk of HBP.
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Affiliation(s)
- Xijie Wang
- Institute of Child and Adolescent Health & School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Zhiyong Zou
- Institute of Child and Adolescent Health & School of Public Health, Peking University Health Science Center, Beijing 100191, China.
- Key laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China.
| | - Bin Dong
- Institute of Child and Adolescent Health & School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health & School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Yinghua Ma
- Institute of Child and Adolescent Health & School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Di Gao
- Institute of Child and Adolescent Health & School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Zhaogeng Yang
- Institute of Child and Adolescent Health & School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Shaowei Wu
- School of Public Health, Peking University, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences, Peking University, Ministry of Education, Beijing 100191, China
| | - Jun Ma
- Institute of Child and Adolescent Health & School of Public Health, Peking University Health Science Center, Beijing 100191, China.
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Finch J, Riggs DW, O’Toole TE, Pope CA, Bhatnagar A, Conklin DJ. Acute exposure to air pollution is associated with novel changes in blood levels of endothelin-1 and circulating angiogenic cells in young, healthy adults. AIMS ENVIRONMENTAL SCIENCE 2019; 6:265-276. [PMID: 32309625 PMCID: PMC7164546 DOI: 10.3934/environsci.2019.4.265] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Acute and chronic exposures to particulate matter (PM2.5) air pollution increase the risk for cardiovascular disease (CVD). A hypothesized mechanism linking PM2.5 exposure and CVD is the induction of endothelial dysfunction - a key step to increased CVD risk. Although PM2.5 exposure is associated with endothelial dysfunction and the vasoconstrictor peptide endothelin-1 (ET-1) is upregulated in endothelial dysfunction, the effects of PM2.5 on ET-1 and whether or not ET-1 mediates the downstream effects of PM2.5 are unclear. In addition to examining associations between acute changes in ambient PM2.5 and circulating levels of ET-1, we also looked at whether changes in ET-1 were associated with changes in markers of vascular health and systemic injury. For example, endothelial function is maintained in part by circulating angiogenic cell (CAC)-mediated repair, and our recent studies show that CACs in humans and mice are decreased by ambient PM2.5 exposure. In the current study, we recruited young, healthy adults who were exposed to natural variations in PM2.5, and we analyzed associations between PM2.5 and circulating levels of ET-1, between ET-1 and CACs, and between ET-1 and other biomarkers of injury using linear regression analyses. Surprisingly, ET-1 levels were negatively associated with PM2.5 levels (β = -0.773, P = 0.0005), yet, in contrast, positively associated with two CACs: CAC-2 (CD31+/CD34+/CD45+) and CAC-4 (CD31+/CD34+/CD45+/CD133+). Interestingly, ET-1 levels were negatively associated with some biomarkers (platelet factor 4, β = -0.148, P = 0.0003; triglycerides, β = -0.095, P = 0.041) and positively with other biomarkers: albumin (β = 0.035, P = 0.006) and IL-lβ (β = 0.082, P = 0.012). These findings further reveal the insidious nature of PI2.5's anti-angiogenic effect including a novel relationship between ET-1 and CACs in young adults exposed to acute elevations of air pollution.
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Affiliation(s)
- Jordan Finch
- Department of Pharmacology and Toxicology, School of Medicine, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA
- Christina Lee Brown Envirome Institute, University of Louisville, 302 E. Muhammad Ali Boulevard, Louisville, KY 40202, USA
- Diabetes & Obesity Center, University of Louisville, 580 S. Preston Street, Louisville, KY 40202, USA
| | - Daniel W. Riggs
- Christina Lee Brown Envirome Institute, University of Louisville, 302 E. Muhammad Ali Boulevard, Louisville, KY 40202, USA
- Diabetes & Obesity Center, University of Louisville, 580 S. Preston Street, Louisville, KY 40202, USA
| | - Timothy E. O’Toole
- Christina Lee Brown Envirome Institute, University of Louisville, 302 E. Muhammad Ali Boulevard, Louisville, KY 40202, USA
- Diabetes & Obesity Center, University of Louisville, 580 S. Preston Street, Louisville, KY 40202, USA
- Department of Medicine, School of Medicine, University of Louisville, 500 S. Preston Street Louisville, KY 40202, USA
| | - C. Arden Pope
- Department of Economics, College of Family, Home, and Social Sciences, Brigham Young University, E 1060 N Street, Provo, UT 84604, USA
| | - Aruni Bhatnagar
- Christina Lee Brown Envirome Institute, University of Louisville, 302 E. Muhammad Ali Boulevard, Louisville, KY 40202, USA
- Diabetes & Obesity Center, University of Louisville, 580 S. Preston Street, Louisville, KY 40202, USA
- Department of Medicine, School of Medicine, University of Louisville, 500 S. Preston Street Louisville, KY 40202, USA
| | - Daniel J. Conklin
- Department of Pharmacology and Toxicology, School of Medicine, University of Louisville, 505 S. Hancock Street, Louisville, KY 40202, USA
- Christina Lee Brown Envirome Institute, University of Louisville, 302 E. Muhammad Ali Boulevard, Louisville, KY 40202, USA
- Diabetes & Obesity Center, University of Louisville, 580 S. Preston Street, Louisville, KY 40202, USA
- Department of Medicine, School of Medicine, University of Louisville, 500 S. Preston Street Louisville, KY 40202, USA
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Vilcassim MJR, Thurston GD, Chen LC, Lim CC, Saunders E, Yao Y, Gordon T. Exposure to air pollution is associated with adverse cardiopulmonary health effects in international travellers. J Travel Med 2019; 26:taz032. [PMID: 31058996 PMCID: PMC6621915 DOI: 10.1093/jtm/taz032] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 04/26/2019] [Accepted: 04/26/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND With the number of annual global travellers reaching 1.2 billion, many individuals encounter greater levels of air pollution when they travel abroad to megacities around the world. This study's objective was to determine if visits to cities abroad with greater levels of air pollution adversely impact cardiopulmonary health. METHODS A total of 34 non-smoking healthy adult participants who travelled abroad to selected cities from the New York City (NYC) metropolitan area were pre-trained to measure lung function, blood pressure and heart rate (HR)/HR variability (HRV) and record symptoms before, during and after travelling abroad. Outdoor particulate matter (PM)2.5 concentrations were obtained from central monitors in each city. Associations between PM exposure concentrations and cardiopulmonary health endpoints were analysed using a mixed effects statistical design. RESULTS East and South Asian cities had significantly higher PM2.5 concentrations compared with pre-travel NYC PM2.5 levels, with maximum concentrations reaching 503 μg/m3. PM exposure-related associations for lung function were statistically significant and strongest between evening Forced Expiratory Volume in the first second (FEV1) and same-day morning PM2.5 concentrations; a 10-μg/m3 increase in outdoor PM2.5 was associated with a mean decrease of 7 mL. Travel to a highly polluted city (PM2.5 > 100 μg/m3) was associated with a 209-ml reduction in evening FEV1 compared with a low polluted city (PM2.5 < 35 μg/m3). In general, participants who travelled to East and South Asian cities experienced increased respiratory symptoms/scores and changes in HR and HRV. CONCLUSIONS Exposure to increased levels of PM2.5 in cities abroad caused small but statistically significant acute changes in cardiopulmonary function and respiratory symptoms in healthy young adults. These data suggest that travel-related exposure to increased PM2.5 adversely impacts cardiopulmonary health, which may be particularly important for travellers with pre-existing respiratory or cardiac disease.
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Affiliation(s)
- M J Ruzmyn Vilcassim
- Department of Environmental Medicine, New York University School of Medicine, 341 East 25th Street, New York, NY 10010, USA
| | - George D Thurston
- Department of Environmental Medicine, New York University School of Medicine, 341 East 25th Street, New York, NY 10010, USA
| | - Lung-Chi Chen
- Department of Environmental Medicine, New York University School of Medicine, 341 East 25th Street, New York, NY 10010, USA
| | - Chris C Lim
- Department of Environmental Medicine, New York University School of Medicine, 341 East 25th Street, New York, NY 10010, USA
| | - Eric Saunders
- Department of Environmental Medicine, New York University School of Medicine, 341 East 25th Street, New York, NY 10010, USA
| | - Yixin Yao
- Department of Environmental Medicine, New York University School of Medicine, 341 East 25th Street, New York, NY 10010, USA
| | - Terry Gordon
- Department of Environmental Medicine, New York University School of Medicine, 341 East 25th Street, New York, NY 10010, USA
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Boussetta N, Abedelmalek S, Mallek H, Aloui K, Souissi N. Effect of air pollution and time of day on performance, heart rate hematological parameters and blood gases, following the YYIRT-1 in smoker and non-smoker soccer players. Sci Sports 2019. [DOI: 10.1016/j.scispo.2018.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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McKenzie LM, Crooks J, Peel JL, Blair BD, Brindley S, Allshouse WB, Malin S, Adgate JL. Relationships between indicators of cardiovascular disease and intensity of oil and natural gas activity in Northeastern Colorado. ENVIRONMENTAL RESEARCH 2019; 170:56-64. [PMID: 30557692 PMCID: PMC6360130 DOI: 10.1016/j.envres.2018.12.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 11/30/2018] [Accepted: 12/04/2018] [Indexed: 05/23/2023]
Abstract
BACKGROUND Oil and natural gas (O&G) extraction emits pollutants that are associated with cardiovascular disease, the leading cause of mortality in the United States. OBJECTIVE We evaluated associations between intensity of O&G activity and cardiovascular disease indicators. METHODS Between October 2015 and May 2016, we conducted a cross-sectional study of 97 adults living in Northeastern Colorado. For each participant, we collected 1-3 measurements of augmentation index, systolic and diastolic blood pressure (SBP and DBP), and plasma concentrations of interleukin (IL)- 1β, IL-6, IL-8 and tumor necrosis factor alpha (TNF-α). We modelled the intensity of O&G activity by weighting O&G well counts within 16 km of a participant's home by intensity and distance. We used linear models accounting for repeated measures within person to evaluate associations. RESULTS Adjusted mean augmentation index differed by 6.0% (95% CI: 0.6, 11.4%) and 5.1% (95%CI: -0.1, 10.4%) between high and medium, respectively, and low exposure tertiles. The greatest mean IL-1β, and α-TNF plasma concentrations were observed for participants in the highest exposure tertile. IL-6 and IL-8 results were consistent with a null result. For participants not taking prescription medications, the adjusted mean SBP differed by 6 and 1 mm Hg (95% CIs: 0.1, 13 mm Hg and -6, 8 mm Hg) between the high and medium, respectively, and low exposure tertiles. DBP results were similar. For participants taking prescription medications, SBP and DBP results were consistent with a null result. CONCLUSIONS Despite limitations, our results support associations between O&G activity and augmentation index, SBP, DBP, IL-1β, and TNF-α. Our study was not able to elucidate possible mechanisms or environmental stressors, such as air pollution and noise.
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Affiliation(s)
- Lisa M McKenzie
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, CO, USA.
| | - James Crooks
- Division of Biostatistics and Bioinformatics, National Jewish Health, Denver, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
| | - Jennifer L Peel
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA; Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Benjamin D Blair
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
| | - Stephen Brindley
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
| | - Stephanie Malin
- Department of Sociology & Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
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Tan BY, Leong AZ, Leow AS, Ngiam NJ, Ng BS, Sharma M, Yeo LL, Seow PA, Hong CS, Chee YH, Chen J, Du Z, Wong LY, Batra A, Sarkar N, Teoh HL, Ho RC, Sharma VK. Psychosomatic symptoms during South East Asian haze crisis are related to changes in cerebral hemodynamics. PLoS One 2019; 14:e0208724. [PMID: 30615620 PMCID: PMC6322770 DOI: 10.1371/journal.pone.0208724] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 11/22/2018] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES Forest fires in South Asia lead to widespread haze, where many healthy individuals develop psychosomatic symptoms. We investigated the effects of haze exposure on cerebral hemodynamics and new symptoms. We hypothesised that vasoactive substances present in the haze, would lead to vasodilation of cerebral vasculature, thereby altering cerebral hemodynamics, which in turn may account for new psychosomatic symptoms. METHODS Seventy-four healthy volunteers were recruited, and serial transcranial Doppler (TCD) ultrasonography was performed to record blood flow parameters of bilateral middle cerebral arteries (MCA). The first TCD was performed in an air-conditioned environment. It was repeated outdoors after the participants spent 30-minutes in the haze environment. The prevailing level of pollutant standards index (PSI) was recorded. Appropriate statistical analyses were performed to compare cerebral hemodynamics at baseline and after haze exposure in all participants. Subgroup analyses were then employed to compare the findings between symptomatic and asymptomatic participants. RESULTS Study participants' median age was 30 years (IQR 26-34), and new psychosomatic symptoms were reported by 35 (47.3%). There was a modest but significant decrease in pulsatility index (PI) and resistivity index (RI) in the left MCA after haze exposure (PI: p = 0.026; RI: p = 0.021). When compared to baseline parameters, haze exposure resulted in significantly lower mean PI (p = 0.001) and RI (p = 0.001) in symptomatic patients, but this difference was not present in asymptomatic patients (PI: p = 0.919; RI: p = 0.970). CONCLUSION Haze causes significant alterations in cerebral hemodynamics in susceptible individuals, probably responsible for various psychosomatic symptoms. The prognostic implications and health effects of haze require evaluation in a larger study.
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Affiliation(s)
- Benjamin Y. Tan
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Adriel Z. Leong
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Aloysius S. Leow
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Nicholas J. Ngiam
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Bridget S. Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Manasi Sharma
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Leonard L. Yeo
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Philip A. Seow
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Chiew S. Hong
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Young H. Chee
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Jintao Chen
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Zhengdao Du
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Lily Y. Wong
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Amit Batra
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Nabin Sarkar
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Hock-Luen Teoh
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Roger C. Ho
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Psychological Medicine, National University Health System, Singapore
| | - Vijay K. Sharma
- Division of Neurology, Department of Medicine, National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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71
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Yu H, Cheng J, Gordon SP, An R, Yu M, Chen X, Yue Q, Qiu J. Impact of Air Pollution on Sedentary Behavior: A Cohort Study of Freshmen at a University in Beijing, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15122811. [PMID: 30544739 PMCID: PMC6313684 DOI: 10.3390/ijerph15122811] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 12/05/2018] [Accepted: 12/07/2018] [Indexed: 12/22/2022]
Abstract
Human populations worldwide have experienced substantial environmental issues in part due to air pollution, notably in China. Gaps in the scientific literature remain regarding the relationship between air pollution and sedentary behavior among young adults in China. The purpose of this study is to examine the effect of air pollution on sedentary behavior among college students living in Beijing, China. We conducted follow-up health surveys on 12,174 freshman students enrolled at Tsinghua University from 2013 to 2017. Sedentary behavior was measured using the short version of the International Physical Activity Questionnaire (IPAQ). Corresponding air pollution data measured by the Ministry of Environmental Protection of the People's Republic of China were collected to include the average hourly air quality index (AQI), PM2.5, PM10, and NO₂ (µg/m³). The data were analyzed using linear individual fixed-effect regressions. An increase in air pollution concentration of one standard deviation in AQI, PM2.5, PM10, and NO₂ was associated with an increase in weekly total hours of sedentary behavior by 7.35 (95% confidence interval (CI) = 5.89, 8.80), 6.24 (95% CI = 5.00, 7.49), 6.80 (95% CI = 5.46, 8.15), and 7.06 (95% CI = 5.65, 8.47), respectively. In the presence of air pollution, women students tended to increase their sedentary behavior more than men. Air pollution increases sedentary behavior among freshman students living in Beijing, China. Replication of this study is warranted among various populations within China.
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Affiliation(s)
- Hongjun Yu
- Department of Physical Education, Tsinghua University, Beijing 100084, China.
| | - Jiali Cheng
- Department of Physical Education, Tsinghua University, Beijing 100084, China.
| | - Shelby Paige Gordon
- Department of Interdisciplinary Health Sciences, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.
| | - Ruopeng An
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.
| | - Miao Yu
- Renmin University of China Libraries, Beijing 100872, China.
| | - Xiaodan Chen
- Department of Martial Art, Guangzhou Sport University, Guangzhou, Guangdong 510500, China.
| | - Qingli Yue
- Department of Olympic Games, Beijing Sport University, Beijing 100084, China.
| | - Jun Qiu
- Department of Physical Education, Tsinghua University, Beijing 100084, China.
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Tavera Busso I, Mateos AC, Juncos LI, Canals N, Carreras HA. Kidney damage induced by sub-chronic fine particulate matter exposure. ENVIRONMENT INTERNATIONAL 2018; 121:635-642. [PMID: 30316178 DOI: 10.1016/j.envint.2018.10.007] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 10/01/2018] [Accepted: 10/02/2018] [Indexed: 06/08/2023]
Abstract
According to the WHO, about 3 million people die each year due to ambient air pollution. Most of the in vivo studies on the PM2.5 effects have been done on respiratory and cardiovascular tissues. However, little is known about the effects on the tissues involved on xenobiotic removal, such as kidneys. In the present study we assess the harmful effects of sub-chronic exposure to PM2.5 on the kidney, by investigating histologic and serum alterations in healthy and hypertensive rat models. Mean PM2.5 concentrations during exposures were slightly above the daily WHO standard. Exposed animals showed fibrosis, mesangial expansion, decrease glomerular and tubular lumen volumes in kidneys, with an elevated BUN. Hypertensive animals also exhibited much more severe alterations than healthy animals. We conclude that PM2.5 induces minimal or small-scale abnormalities that can be determinant for renal health preservation.
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Affiliation(s)
- Iván Tavera Busso
- Instituto Multidisciplinario de Biología Vegetal (IMBIV), CONICET, Departamento de Química, Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina; Fundación J. Robert Cade, Córdoba, Argentina.
| | - Ana Carolina Mateos
- Instituto Multidisciplinario de Biología Vegetal (IMBIV), CONICET, Departamento de Química, Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina
| | | | | | - Hebe Alejandra Carreras
- Instituto Multidisciplinario de Biología Vegetal (IMBIV), CONICET, Departamento de Química, Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina
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73
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Dröge J, Müller R, Scutaru C, Braun M, Groneberg DA. Mobile Measurements of Particulate Matter in a Car Cabin: Local Variations, Contrasting Data from Mobile versus Stationary Measurements and the Effect of an Opened versus a Closed Window. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E2642. [PMID: 30486237 PMCID: PMC6313680 DOI: 10.3390/ijerph15122642] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 11/20/2018] [Accepted: 11/21/2018] [Indexed: 11/16/2022]
Abstract
Air pollution of particulate matter (PM) from traffic emissions has a significant impact on human health. Risk assessments for different traffic participants are often performed on the basis of data from local air quality monitoring stations. Numerous studies demonstrated the limitation of this approach. To assess the risk of PM exposure to a car driver more realistically, we measure the exposure to PM in a car cabin with a mobile aerosol spectrometer in Frankfurt am Main under different settings (local variations, opened versus a closed window) and compare it with data from stationary measurement. A video camera monitored the surroundings for potential PM source detection. In-cabin concentrations peaked at 508 µg m-3 for PM10, 133.9 µg m-3 for PM2.5, and 401.3 µg m-3 for coarse particles, and strongly depended on PM size and PM concentration in ambient air. The concentration of smaller particles showed low fluctuations, but the concentration of coarse particles showed high fluctuations with maximum values on busy roads. Several of these concentration peaks were assigned to the corresponding sources with characteristic particle size distribution profiles. The closure of the car window reduced the exposure to PM, and in particular to coarse particles. The mobile measured PM values differed significantly from stationary PM measures, although good correlations were computed for finer particles. Mobile rather than stationary measurements are essential to assess the risk of PM exposure for car passengers.
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Affiliation(s)
- Janis Dröge
- Institute of Occupational, Social, and Environmental Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
| | - Ruth Müller
- Institute of Occupational, Social, and Environmental Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
| | - Cristian Scutaru
- Institute of Occupational Medicine, Charité⁻School of Medicine, Humboldt-University & Free University, Augustenburger Platz 1, 13353 Berlin, Germany.
| | - Markus Braun
- Institute of Occupational, Social, and Environmental Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
| | - David A Groneberg
- Institute of Occupational, Social, and Environmental Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.
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Afsar B, Elsurer Afsar R, Kanbay A, Covic A, Ortiz A, Kanbay M. Air pollution and kidney disease: review of current evidence. Clin Kidney J 2018; 12:19-32. [PMID: 30746128 PMCID: PMC6366136 DOI: 10.1093/ckj/sfy111] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 10/02/2018] [Indexed: 12/22/2022] Open
Abstract
Along with amazing technological advances, the industrial revolution of the mid-19th century introduced new sources of pollution. By the mid-20th century, the effects of these changes were beginning to be felt around the world. Among these changes, health problems due to environmental air pollution are increasingly recognized. At the beginning, respiratory and cardiovascular diseases were emphasized. However, accumulated data indicate that every organ system in the body may be involved, and the kidney is no exception. Although research on air pollution and kidney damage is recent, there is now scientific evidence that air pollution harms the kidney. In this holistic review, we have summarized the epidemiology, disease states and mechanisms of air pollution and kidney damage.
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Affiliation(s)
- Baris Afsar
- Department of Nephrology, Suleyman Demirel University School of Medicine, Isparta, Turkey
| | - Rengin Elsurer Afsar
- Department of Nephrology, Suleyman Demirel University School of Medicine, Isparta, Turkey
| | - Asiye Kanbay
- Department of Pulmonary Medicine, Istanbul Medeniyet University School of Medicine, Istanbul, Turkey
| | - Adrian Covic
- Nephrology Department, Dialysis and Renal Transplant Center, "Dr. C.I. Parhon" University Hospital, "Grigore T. Popa" University of Medicine and Pharmacy, Iasi, Romania
| | - Alberto Ortiz
- Dialysis Unit, School of Medicine, IIS-Fundacion Jimenez Diaz, Universidad Autónoma de Madrid, Madrid, Spain
| | - Mehmet Kanbay
- Division of Nephrology, Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
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Rodosthenous RS, Kloog I, Colicino E, Zhong J, Herrera LA, Vokonas P, Schwartz J, Baccarelli AA, Prada D. Extracellular vesicle-enriched microRNAs interact in the association between long-term particulate matter and blood pressure in elderly men. ENVIRONMENTAL RESEARCH 2018; 167:640-649. [PMID: 30216846 PMCID: PMC6173640 DOI: 10.1016/j.envres.2018.09.002] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 08/31/2018] [Accepted: 09/04/2018] [Indexed: 05/19/2023]
Abstract
BACKGROUND Several studies have shown that exposure to particulate matter (PM) may lead to increased systemic blood pressure, but the underlying biological mechanisms remain unknown. Emerging evidence shows that extracellular vesicle-enriched miRNAs (evmiRNAs) are associated with PM exposure and cardiovascular risk. In this study, we investigated the role of evmiRNAs in the association between PM and blood pressure, as well as their epigenetic regulation by DNA methylation. METHODS Participants (n = 22, men) were randomly selected from the Veterans Affairs Normative Aging Study (NAS). Long-term (1-year and 6-month average) PM2.5 exposure was estimated at 1 × 1-km resolution using spatio-temporal prediction models and BC was estimated using validated time varying land use regression models. We analyzed 31 evmiRNAs detected in ≥ 90% of all individuals and for statistical analysis, we used mixed effects models with random intercept adjusted for age, body mass index, smoking, C-reactive protein, platelets, and white blood cells. RESULTS We found that per each 2-standard deviations increase in 6-month PM2.5 ambient levels, there was an increase in 0.19 mm Hg (95% Confidence Interval [95%CI]: 0.11, 0.28 mmHg; p < 0.001) in systolic blood pressure (SBP). Per each 2-standard deviations increase in 1-year PM2.5 levels, there was an increase in 0.11 mm Hg (95% Confidence Interval [95% CI]: 0.03, 0.19 mmHg; p = 0.012) in SBP in older male individuals. We also found that both miR-199a/b (β = 6.13 mmHg; 95% CI: 0.87, 11.39; pinteraction = 0.07) and miR-223-3p (β = 30.17 mmHg; 95% CI: 11.96, 48.39 mmHg; pinteraction = 0.01) modified the association between 1-year PM2.5 and SBP. When exploring DNA methylation as a potential mechanism that could epigenetically regulate expression of evmiRNAs, we found that PM2.5 ambient levels were negatively associated with DNA methylation levels at CpG (cg23972892) near the enhancer region of miR-199a/b (β = -13.11; 95% CI: -17.70, -8.52; pBonferroni< 0.01), but not miR-223-3p. CONCLUSIONS Our findings suggest that expression of evmiRNAs may be regulated by DNA methylation in response to long-term PM2.5 ambient levels and modify the magnitude of association between PM2.5 and systolic blood pressure in older individuals.
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Affiliation(s)
- Rodosthenis S Rodosthenous
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Ave, Boston, MA 02115, United States; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, United States.
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, 663 Beer Sheva, Israel.
| | - Elena Colicino
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Ave, Boston, MA 02115, United States; Icahn School of Medicine, Mount Sinai Hospital, 1 Gustave L. Levy Place, New York, NY 10029-5674, United States.
| | - Jia Zhong
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Ave, Boston, MA 02115, United States.
| | - Luis A Herrera
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología - Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City 14080, Mexico.
| | - Pantel Vokonas
- Veterans Affairs Boston Healthcare System, 150 South Huntington Ave, Boston, MA 02130, United States; Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, United States; Department of Medicine, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, United States.
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Ave, Boston, MA 02115, United States.
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, United States.
| | - Diddier Prada
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Ave, Boston, MA 02115, United States; Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología - Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City 14080, Mexico.
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Adar SD, Chen YH, D'Souza JC, O'Neill MS, Szpiro AA, Auchincloss AH, Park SK, Daviglus ML, Diez Roux AV, Kaufman JD. Longitudinal Analysis of Long-Term Air Pollution Levels and Blood Pressure: A Cautionary Tale from the Multi-Ethnic Study of Atherosclerosis. ENVIRONMENTAL HEALTH PERSPECTIVES 2018; 126:107003. [PMID: 30392401 PMCID: PMC6371645 DOI: 10.1289/ehp2966] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
BACKGROUND Air pollution exposures are hypothesized to impact blood pressure, yet few longitudinal studies exist, their findings are inconsistent, and different adjustments have been made for potentially distinct confounding by calendar time and age. OBJECTIVE We aimed to investigate the associations of long- and short-term [Formula: see text] and [Formula: see text] concentrations with systolic and diastolic blood pressures and incident hypertension while also accounting for potential confounding by age and time. METHODS Between 2000 and 2012, Multi-Ethnic Study of Atherosclerosis participants were measured for systolic and diastolic blood pressure at five exams. We estimated annual average and daily [Formula: see text] and [Formula: see text] concentrations for 6,569 participants using spatiotemporal models and measurements, respectively. Associations of exposures with blood pressure corrected for medication were studied using mixed-effects models. Incident hypertension was examined with Cox regression. We adjusted all models for sex, race/ethnicity, socioeconomic status, smoking, physical activity, diet, season, and site. We compared associations from models adjusting for time-varying age with those that adjusted for both time-varying age and calendar time. RESULTS We observed decreases in pollution and blood pressures (adjusted for age and medication) over time. Strong, positive associations of long- and short-term exposures with blood pressure were found only in models with adjustment for time-varying age but not adjustment for both time-varying age and calendar time. For example, [Formula: see text] higher annual average [Formula: see text] concentrations were associated with 2.7 (95% CI: 1.5, 4.0) and [Formula: see text] (95% CI: [Formula: see text] 1.0) mmHg in systolic blood pressure with and without additional adjustment for time, respectively. Associations with incident hypertension were similarly weakened by additional adjustment for time. Sensitivity analyses indicated that air pollution did not likely cause the temporal trends in blood pressure. CONCLUSIONS In contrast to experimental evidence, we found no associations between long- or short-term exposures to air pollution and blood pressure after accounting for both time-varying age and calendar time. This research suggests that careful consideration of both age and time is needed in longitudinal studies with trending exposures. https://doi.org/10.1289/EHP2966.
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Affiliation(s)
- Sara D Adar
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Yeh-Hsin Chen
- Harris County Public and Environmental Services, Houston, Texas, USA
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Jennifer C D'Souza
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Marie S O'Neill
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Adam A Szpiro
- Department of Biostatistics, University of Washington School of Public Health, Seattle, Washington, USA
| | - Amy H Auchincloss
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA
| | - Sung Kyun Park
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Martha L Daviglus
- Institute of Minority Health Research, University of Illinois College of Medicine, Chicago, Illinois, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Ana V Diez Roux
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, Washington, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
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Honda T, Pun VC, Manjourides J, Suh H. Associations of long-term fine particulate matter exposure with prevalent hypertension and increased blood pressure in older Americans. ENVIRONMENTAL RESEARCH 2018; 164:1-8. [PMID: 29459230 PMCID: PMC5911215 DOI: 10.1016/j.envres.2018.02.008] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 02/02/2018] [Accepted: 02/08/2018] [Indexed: 05/29/2023]
Abstract
BACKGROUND Hypertension is a highly prevalent cardiovascular risk factor. It is possible that air pollution, also an established cardiovascular risk factor, may contribute to cardiovascular disease through increasing blood pressure. Previous studies evaluating associations between air pollution and blood pressure have had mixed results. METHODS We examined the association between long-term (one-year moving average) air pollutant exposures, prevalent hypertension and blood pressure in 4121 older Americans (57+ years) enrolled in the National Social Life, Health, and Aging Project. We estimated exposures to PM2.5 using spatio-temporal models and used logistic regression accounting for repeated measures to evaluate the association between long-term average PM2.5 and prevalence odds of hypertension. We additionally used linear regression to evaluate the associations between air pollutants and systolic, diastolic, mean arterial, and pulse pressures. Health effect models were adjusted for a number of demographic, health and socioeconomic covariates. RESULTS An inter-quartile range (3.91 μg/m3) increase in the one-year moving average of PM2.5 was associated with increased: Odds of prevalent hypertension (POR 1.24, 95% CI: 1.11, 1.38), systolic blood pressure (0.93 mm Hg, 95% CI: 0.05, 1.80) and pulse pressure (0.89 mm Hg, 95% CI: 0.21, 1.58). Dose-response relationships were also observed. CONCLUSIONS PM2.5 was associated with increased odds of prevalent hypertension, and increased systolic pressure and pulse pressure in a cohort of older Americans. These findings add to the growing evidence that air pollution may be an important risk factor for hypertension and perturbations in blood pressure.
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Affiliation(s)
- Trenton Honda
- Department of Health Sciences, Northeastern University, Boston, MA, USA.
| | - Vivian C Pun
- Department of Health Sciences, Northeastern University, Boston, MA, USA
| | | | - Helen Suh
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA, USA
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Mazidi M, Speakman JR. Impact of Obesity and Ozone on the Association Between Particulate Air Pollution and Cardiovascular Disease and Stroke Mortality Among US Adults. J Am Heart Assoc 2018; 7:JAHA.117.008006. [PMID: 29848499 PMCID: PMC6015356 DOI: 10.1161/jaha.117.008006] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Cardiovascular diseases (CVDs) and stroke are the highest and third highest causes of death, respectively, in the whole United States. It is well established that both long‐ and short‐term exposure to particulate air pollution (particulate matter with diameters <2.5 μm [PM2.5]) increases the risks of both CVD and stroke mortality. Methods and Results We combined county‐level data for CVD and stroke mortality, and prevalence of hypertension and obesity, with spatial patterns of PM2.5 and ozone in a cross‐sectional ecological study. We found significant positive associations between both CVD (β=15.4, P<0.001) and stroke (β=2.7, P<0.001) mortality with PM2.5. Ozone had significant link with just CVD (β=1372.1, P<0.001). Once poverty, ethnicity, and education were taken into account, there were still significant positive associations between PM2.5 and both CVD (β=1.2, P<0.001) and stroke (β=1.1, P<0.001) mortality. Moreover, the association between CVD and ozone remained after adjustment for these factors (β=21.8, P<0.001). PM2.5 and ozone were independent risk factors. The impact of PM2.5 on CVD and stroke mortality was strongly dependent on the prevalence of obesity. Hypertension partially mediated the associations of PM2.5 and mortality from CVD and stroke. Conclusions There was a spatial association between PM2.5 exposure and the leading causes of death and disability in United States. The effect of PM2.5 was considerably greater in areas where obesity is more prevalent. Hypertension is a possible mediator of the association of PM2.5 and both CVD and stroke.
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Affiliation(s)
- Mohsen Mazidi
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Chaoyang Beijing, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - John R Speakman
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Chaoyang Beijing, China .,Institute of Biological and Environmental Science, University of Aberdeen, Scotland, United Kingdom
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Day DB, Xiang J, Mo J, Clyde MA, Weschler CJ, Li F, Gong J, Chung M, Zhang Y, Zhang J(J. Combined use of an electrostatic precipitator and a high-efficiency particulate air filter in building ventilation systems: Effects on cardiorespiratory health indicators in healthy adults. INDOOR AIR 2018; 28:360-372. [PMID: 29288500 PMCID: PMC5903943 DOI: 10.1111/ina.12447] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Accepted: 12/19/2017] [Indexed: 05/08/2023]
Abstract
High-efficiency particulate air (HEPA) filtration in combination with an electrostatic precipitator (ESP) can be a cost-effective approach to reducing indoor particulate exposure, but ESPs produce ozone. The health effect of combined ESP-HEPA filtration has not been examined. We conducted an intervention study in 89 volunteers. At baseline, the air-handling units of offices and residences for all subjects were comprised of coarse, ESP, and HEPA filtration. During the 5-week long intervention, the subjects were split into 2 groups, 1 with just the ESP removed and the other with both the ESP and HEPA removed. Each subject was measured for cardiopulmonary risk indicators once at baseline, twice during the intervention, and once 2 weeks after baseline conditions were restored. Measured indoor and outdoor PM2.5 and ozone concentrations, coupled with time-activity data, were used to calculate exposures. Removal of HEPA filters increased 24-hour mean PM2.5 exposure by 38 (95% CI: 31, 45) μg/m3 . Removal of ESPs decreased 24-hour mean ozone exposure by 2.2 (2.0, 2.5) ppb. No biomarkers were significantly associated with HEPA filter removal. In contrast, ESP removal was associated with a -16.1% (-21.5%, -10.4%) change in plasma-soluble P-selectin and a -3.0% (-5.1%, -0.8%) change in systolic blood pressure, suggesting reduced cardiovascular risks.
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Affiliation(s)
- Drew B Day
- Global Health Institute and Nicholas School of the Environment, Duke University, Box 90328, Durham, NC 27708, USA
| | - Jianbang Xiang
- Department of Building Science, Tsinghua University, Beijing 100084, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Beijing 100084, China
| | - Jinhan Mo
- Department of Building Science, Tsinghua University, Beijing 100084, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Beijing 100084, China
| | - Merlise A Clyde
- Department of Statistical Science, Duke University, 214A Old Chemistry Building, Box 90251, Durham, NC 27708, USA
| | - Charles J Weschler
- Department of Building Science, Tsinghua University, Beijing 100084, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Beijing 100084, China
- Environmental and Occupational Health Sciences Institute, Rutgers University, Robert Wood Johnson Medical School, Room N100, 675 Hoes Lane West, Piscataway, NJ 08854, USA
| | - Feng Li
- Department of Respiratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University, 100 Haining Road, Shanghai, China 200080
| | - Jicheng Gong
- Department of Environmental Science, Peking University, 116 Old Geosciences Building, Beijing, China 100871
| | - Mingkei Chung
- Department of Biomedical Informatics, Harvard Medical School, Harvard University, 10 Shattuck Street, Boston, MA 02115, USA
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing 100084, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Beijing 100084, China
| | - Junfeng (Jim) Zhang
- Global Health Institute and Nicholas School of the Environment, Duke University, Box 90328, Durham, NC 27708, USA
- Department of Environmental Science, Peking University, 116 Old Geosciences Building, Beijing, China 100871
- Duke Kunshan University, No. 8 Duke Avenue, Kunshan, Jiangsu Province, China 215316
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80
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Yang BY, Qian Z, Howard SW, Vaughn MG, Fan SJ, Liu KK, Dong GH. Global association between ambient air pollution and blood pressure: A systematic review and meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 235:576-588. [PMID: 29331891 DOI: 10.1016/j.envpol.2018.01.001] [Citation(s) in RCA: 343] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 12/07/2017] [Accepted: 01/01/2018] [Indexed: 05/21/2023]
Abstract
Although numerous studies have investigated the association of ambient air pollution with hypertension and blood pressure (BP), the results were inconsistent. We performed a comprehensive systematic review and meta-analysis of these studies. Seven international and Chinese databases were searched for studies examining the associations of particulate (diameter<2.5 μm (PM2.5), 2.5-10 μm (PM2.5-10) or >10 μm (PM10)) and gaseous (sulfur dioxide (SO2), nitrogen dioxide (NO2), nitrogen oxides (NOx), ozone (O3), carbon monoxide (CO)) air pollutants with hypertension or BP. Odds ratios (OR), regression coefficients (β) and their 95% confidence intervals were calculated to evaluate the strength of the associations. Subgroup analysis, sensitivity analysis, and meta-regression analysis were also conducted. The overall meta-analysis showed significant associations of long-term exposures to PM2.5 with hypertension (OR = 1.05), and of PM10, PM2.5, and NO2 with DBP (β values: 0.47-0.86 mmHg). In addition, short-term exposures to four (PM10, PM2.5, SO2, NO2), two (PM2.5 and SO2), and four air pollutants (PM10, PM2.5, SO2, and NO2), were significantly associated with hypertension (ORs: 1.05-1.10), SBP (β values: 0.53-0.75 mmHg) and DBP (β values: 0.15-0.64 mmHg), respectively. Stratified analyses showed a generally stronger relationship among studies of men, Asians, North Americans, and areas with higher air pollutant levels. In conclusion, our study indicates a positive association between ambient air pollution and increased BP and hypertension. Geographical and socio-demographic factors may modify the pro-hypertensive effects of air pollutants.
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Affiliation(s)
- Bo-Yi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhengmin Qian
- Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, Saint Louis 63104, USA
| | - Steven W Howard
- Department of Health Management and Policy, College for Public Health and Social Justice, Saint Louis University, Saint Louis 63104, USA
| | - Michael G Vaughn
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis 63104, USA
| | - Shu-Jun Fan
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - Kang-Kang Liu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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81
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An R, Yu H. Impact of ambient fine particulate matter air pollution on health behaviors: a longitudinal study of university students in Beijing, China. Public Health 2018; 159:107-115. [PMID: 29567011 DOI: 10.1016/j.puhe.2018.02.007] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Revised: 01/31/2018] [Accepted: 02/08/2018] [Indexed: 01/28/2023]
Abstract
OBJECTIVES Poor air quality has become a national public health concern in China. This study examines the impact of ambient fine particulate matter (PM2.5) air pollution on health behaviors among college students in Beijing, China. STUDY DESIGN Prospective cohort study. METHODS Health surveys were repeatedly administered among 12,000 newly admitted students at Tsinghua University during 2012-2015 over their freshman year. Linear individual fixed-effect regressions were performed to estimate the impacts of ambient PM2.5 concentration on health behaviors among survey participants, adjusting for various time-variant individual characteristics and environmental measures. RESULTS Ambient PM2.5 concentration was found to be negatively associated with time spent on walking, vigorous physical activity and sedentary behavior in the last week, but positively associated with time spent on nighttime/daytime sleep among survey participants. An increase in the ambient PM2.5 concentration by one standard deviation (36.5 μg/m³) was associated with a reduction in weekly total minutes of walking by 7.3 (95% confidence interval [CI] = 5.3-9.4), a reduction in weekly total minutes of vigorous physical activity by 10.1 (95% CI = 8.5-11.7), a reduction in daily average hours of sedentary behavior by 0.06 (95% CI = 0.02-0.10) but an increase in daily average hours of nighttime/daytime sleep by 1.07 (95% CI = 1.04-1.11). CONCLUSIONS Ambient PM2.5 air pollution was inversely associated with physical activity level but positively associated with sleep duration among college students. Future studies are warranted to replicate study findings in other Chinese cities and universities, and policy interventions are urgently called to reduce air pollution level in China's urban areas.
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Affiliation(s)
- R An
- Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
| | - H Yu
- Department of Physical Education, Tsinghua University, Beijing, China
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82
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Nyhan MM, Coull BA, Blomberg AJ, Vieira CLZ, Garshick E, Aba A, Vokonas P, Gold DR, Schwartz J, Koutrakis P. Associations Between Ambient Particle Radioactivity and Blood Pressure: The NAS (Normative Aging Study). J Am Heart Assoc 2018; 7:e008245. [PMID: 29545261 PMCID: PMC5907574 DOI: 10.1161/jaha.117.008245] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 02/13/2018] [Indexed: 01/24/2023]
Abstract
BACKGROUND The cardiovascular effects of low-level environmental radiation exposures are poorly understood. Although particulate matter (PM) has been linked to cardiovascular morbidity and mortality, and elevated blood pressure (BP), the properties promoting its toxicity remain uncertain. Addressing a knowledge gap, we evaluated whether BP increased with higher exposures to radioactive components of ambient PM, herein referred to as particle radioactivity (PR). METHODS AND RESULTS We performed a repeated-measures analysis of 852 men to examine associations between PR exposure and BP using mixed-effects regression models. As a surrogate for PR, we used gross β activity, measured by the US Environmental Protection Agency's radiation monitoring network. Higher PR exposure was associated with increases in both diastolic BP and systolic BP, for exposures from 1 to 28 days. An interquartile range increase in 28-day PR exposure was associated with a 2.95-mm Hg increase in diastolic BP (95% confidence interval, 2.25-3.66; P<0.001) and a 3.94-mm Hg increase in systolic BP (95% confidence interval, 2.62-5.27; P<0.001). For models including both PR and PM ≤2.5 µm, the PR-BP associations remained stable and significant. For models including PR and black carbon or PR and particle number, the PR-BP associations were attenuated; however, they remained significant for many exposure durations. CONCLUSIONS This is the first study to demonstrate the potential adverse effects of PR on both systolic and diastolic BPs. These were independent and similar in magnitude to those of PM ≤2.5 µm, black carbon, and particle number. Understanding the effects of particle-bound radionuclide exposures on BP may have important implications for environmental and public health policy.
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Affiliation(s)
- Marguerite M Nyhan
- Harvard T.H. Chan School of Public Health Harvard University, Boston, MA
| | - Brent A Coull
- Harvard T.H. Chan School of Public Health Harvard University, Boston, MA
| | | | - Carol L Z Vieira
- Harvard T.H. Chan School of Public Health Harvard University, Boston, MA
| | - Eric Garshick
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard University, Boston, MA
- Pulmonary, Allergy, Sleep, and Critical Care Medicine Section, Medical Service, VA Boston Healthcare System, Boston, MA
| | - Abdulaziz Aba
- Kuwait Institute for Scientific Research, Kuwait City, Kuwait
| | - Pantel Vokonas
- Pulmonary, Allergy, Sleep, and Critical Care Medicine Section, Medical Service, VA Boston Healthcare System, Boston, MA
| | - Diane R Gold
- Harvard T.H. Chan School of Public Health Harvard University, Boston, MA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard University, Boston, MA
| | - Joel Schwartz
- Harvard T.H. Chan School of Public Health Harvard University, Boston, MA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Harvard University, Boston, MA
| | - Petros Koutrakis
- Harvard T.H. Chan School of Public Health Harvard University, Boston, MA
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83
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Pacitto A, Stabile L, Viana M, Scungio M, Reche C, Querol X, Alastuey A, Rivas I, Álvarez-Pedrerol M, Sunyer J, van Drooge BL, Grimalt JO, Sozzi R, Vigo P, Buonanno G. Particle-related exposure, dose and lung cancer risk of primary school children in two European countries. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 616-617:720-729. [PMID: 29089125 DOI: 10.1016/j.scitotenv.2017.10.256] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 10/19/2017] [Accepted: 10/25/2017] [Indexed: 06/07/2023]
Abstract
Schools represent a critical microenvironment in terms of air quality due to the proximity to outdoor particle sources and the frequent lack of proper ventilation and filtering systems. Moreover, the population exposed in schools (i.e. children) represents a susceptible population due to their age. Air quality-based studies involving students' exposure at schools are still scarce and often limited to mass-based particle metrics and may thus underestimate the possible effect of sub-micron particles and particle toxicity. To this purpose, the present paper aims to evaluate the exposure to different airborne particle metrics (including both sub- and super-micron particles) and attached carcinogenic compounds. Measurements in terms of particle number, lung-deposited surface area, and PM fraction concentrations were measured inside and outside schools in Barcelona (Spain) and Cassino (Italy). Simultaneously, PM samples were collected and chemically analysed to obtain mass fractions of carcinogenic compounds. School time airborne particle doses received by students in classrooms were evaluated as well as their excess lung cancer risk due to a five-year primary school period. Median surface area dose received by students during school time in Barcelona and Cassino resulted equal to 110mm2 and 303mm2, respectively. The risk related to the five-year primary school period was estimated as about 2.9×10-5 and 1.4×10-4 for students of Barcelona and Cassino, respectively. The risk in Barcelona is slightly higher with respect to the maximum tolerable value (10-5, according to the U.S. Environmental Protection Agency), mainly due to toxic compounds on particles generated from anthropogenic emissions (mainly industry). On the other hand, the excess lung cancer risk in Cassino is cause of concern, being one order of magnitude higher than the above-mentioned threshold value due to the presence of biomass burning heating systems and winter thermal inversion that cause larger doses and great amount of toxic compounds on particles.
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Affiliation(s)
- A Pacitto
- Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, FR, Italy
| | - L Stabile
- Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, FR, Italy
| | - M Viana
- Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain
| | - M Scungio
- Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, FR, Italy
| | - C Reche
- Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain
| | - X Querol
- Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain
| | - A Alastuey
- Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain
| | - I Rivas
- Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain
| | | | - J Sunyer
- ISGlobal - Barcelona Institute for Global Health, Barcelona, Spain
| | - B L van Drooge
- Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain
| | - J O Grimalt
- Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain
| | - R Sozzi
- ARPA Lazio, Via Garibaldi, 114, 02100 Rieti, Italy
| | - P Vigo
- Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, FR, Italy
| | - G Buonanno
- Queensland University of Technology, Brisbane, Australia; Department of Engineering, University "Parthenope", Naples, Italy; Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, FR, Italy.
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84
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Hassanvand MS, Naddafi K, Malek M, Valojerdi AE, Mirzadeh M, Samavat T, Hezaveh AM, Hodjatzadeh A, Khamseh ME. Effect of long-term exposure to ambient particulate matter on prevalence of type 2 diabetes and hypertension in Iranian adults: an ecologic study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:1713-1718. [PMID: 29101696 DOI: 10.1007/s11356-017-0561-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 10/23/2017] [Indexed: 06/07/2023]
Abstract
Air pollution is considered as an environmental risk to health worldwide. Current evidence is mostly from Western populations exposed to lower levels of pollutants. This study was to explore the association of type 2 diabetes (T2D) and hypertension prevalence with exposure to high levels of air pollution in Iranian adults. The air pollution data were obtained from the air quality monitoring stations of five large cities in Iran from 2006 to 2011. The air quality monitoring stations could only detect ambient particulate matter_10 (PM10) during the study period; therefore, the average PM10 concentration was considered for comparison. We grouped the cities as group 1 (Tehran, Shiraz) with PM10 concentration < 100 μg/m3, and group 2 (Kermanshah, Ahwaz, Esfahan) with PM10 concentration > 100 μg/m3. Data from the Surveillance of Risk Factors of Non-Communicable Disease (SuRFNCD) study were used to calculate the prevalence of T2D and hypertension. We assessed the association between air pollution and the prevalence of T2D using logistic regression models. Odds ratios (ORs) with 95% CI for each outcome were calculated after adjusting for age, sex, BMI, physical activity, and other covariates. The 5-year average of PM10 concentration was higher in group 2 (120.15 ± 6.81 μg/m3) compared to group 1 (83.95 ± 7.81 μg/m3). The prevalence of T2D in group 2 was 13.8%, while it was 10.7% in group 1 (p = 0.01), OR = 1.32 (95% CI 1.03-1.69). Similarly, hypertension was more prevalent in group 2 (15.7 vs. 11.9%, p = 0.005, OR = 1.55, 95% CI 1.20-1.99). PM10 is associated with higher prevalence of T2D and hypertension in Iranian adults.
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Affiliation(s)
- Mohammad Sadegh Hassanvand
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Kazem Naddafi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Mojtaba Malek
- Research Center for Prevention of Cardiovascular Disease, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | - Ameneh Ebrahim Valojerdi
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
| | | | - Tahereh Samavat
- Center for Non-Communicable Diseases Management, Deputy for Health, Ministry of Health and Medical Education, Tehran, Iran
| | - Alireza Mahdavi Hezaveh
- Center for Non-Communicable Diseases Management, Deputy for Health, Ministry of Health and Medical Education, Tehran, Iran
| | - Alieh Hodjatzadeh
- Center for Non-Communicable Diseases Management, Deputy for Health, Ministry of Health and Medical Education, Tehran, Iran
| | - Mohammad Ebrahim Khamseh
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.
- , No. 10, Firoozeh St., South Vali-asr Ave., Vali-asr Sq., Tehran, Iran.
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85
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Pacitto A, Stabile L, Moreno T, Kumar P, Wierzbicka A, Morawska L, Buonanno G. The influence of lifestyle on airborne particle surface area doses received by different Western populations. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 232:113-122. [PMID: 28919325 DOI: 10.1016/j.envpol.2017.09.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 09/08/2017] [Accepted: 09/08/2017] [Indexed: 06/07/2023]
Abstract
In the present study, the daily dose in terms of particle surface area received by citizens living in five cities in Western countries, characterized by different lifestyle, culture, climate and built-up environment, was evaluated and compared. For this purpose, the exposure to sub-micron particle concentration levels of the population living in Barcelona (Spain), Cassino (Italy), Guilford (United Kingdom), Lund (Sweden), and Brisbane (Australia) was measured through a direct exposure assessment approach. In particular, measurements of the exposure at a personal scale were performed by volunteers (15 per each population) that used a personal particle counter for different days in order to obtain exposure data in microenvironments/activities they resided/performed. Non-smoking volunteers performing non-industrial jobs were considered in the study. Particle concentration data allowed obtaining the exposure of the population living in each city. Such data were combined in a Monte Carlo method with the time activity pattern data characteristics of each population and inhalation rate to obtain the most probable daily dose in term of particle surface area as a function of the population gender, age, and nationality. The highest daily dose was estimated for citizens living in Cassino and Guilford (>1000 mm2), whereas the lowest value was recognized for Lund citizens (around 100 mm2). Indoor air quality, and in particular cooking and eating activities, was recognized as the main influencing factor in terms of exposure (and thus dose) of the population: then confirming that lifestyle (e.g. time spent in cooking activities) strongly affect the daily dose of the population. On the contrary, a minor or negligible contribution of the outdoor microenvironments was documented.
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Affiliation(s)
- A Pacitto
- Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy
| | - L Stabile
- Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy.
| | - T Moreno
- Institute of Environmental Assessment and Water Research (IDÆA) Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain
| | - P Kumar
- Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom; Environmental Flow (EnFlo) Research Centre, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom
| | - A Wierzbicka
- Division of Ergonomics and Aerosol Technology, Lund University, Lund, Sweden
| | - L Morawska
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Australia
| | - G Buonanno
- Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy; International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Australia; Department of Engineering, University "Parthenope", Naples, Italy
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86
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Geographical variations in hypertension prevalence, awareness, treatment and control in China. J Hypertens 2018; 36:178-187. [DOI: 10.1097/hjh.0000000000001531] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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87
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Association between Exposure to Ambient Air Particulates and Metabolic Syndrome Components in a Saudi Arabian Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 15:ijerph15010027. [PMID: 29295575 PMCID: PMC5800127 DOI: 10.3390/ijerph15010027] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2017] [Revised: 12/14/2017] [Accepted: 12/19/2017] [Indexed: 12/17/2022]
Abstract
Recent epidemiological evidence suggests that exposure to particulates may be a factor in the etiology of metabolic syndrome (MetS). In this novel study, we investigated the relationship between particulate levels and prevalence of MetS component abnormalities (hypertension, hyperglycemia, obesity) in a recruited cohort (N = 2025) in Jeddah, Saudi Arabia. We observed significant associations between a 10 μg/m³ increase in PM2.5 and increased risks for MetS (Risk Ratio (RR): 1.12; 95% Confidence Interval (CI): 1.06-1.19), hyperglycemia (RR: 1.08; 95% CI: 1.03-1.14), and hypertension (RR: 1.09; 95% CI: 1.04-1.14). PM2.5 from soil/road dust was found to be associated with hyperglycemia (RR: 1.12; 95% CI: 1.06-1.19) and hypertension (RR: 1.11; 95% CI: 1.05-1.18), while PM2.5 from traffic was associated with hyperglycemia (RR: 1.33; 95% CI: 1.05-1.71). We did not observe any health associations with source-specific mass exposures. Our findings suggest that exposure to specific elemental components of PM2.5, especially Ni, may contribute to the development of cardiometabolic disorders.
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88
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Park EJ, Chae JB, Lyu J, Yoon C, Kim S, Yeom C, Kim Y, Chang J. Ambient fine particulate matters induce cell death and inflammatory response by influencing mitochondria function in human corneal epithelial cells. ENVIRONMENTAL RESEARCH 2017; 159:595-605. [PMID: 28915507 DOI: 10.1016/j.envres.2017.08.044] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 08/24/2017] [Accepted: 08/26/2017] [Indexed: 06/07/2023]
Abstract
Ambient fine particulate matter (AFP) is a main risk factor for the cornea as ultraviolet light. However, the mechanism of corneal damage following exposure to AFP has been poorly understood. In this study, we first confirmed that AFP can penetrate the cornea of mice, considering that two-dimensional cell culture systems are limited in reflecting the situation in vivo. Then, we investigated the toxic mechanism using human corneal epithelial (HCET) cells. At 24h after exposure, AFP located within the autophagosome-like vacuoles, and cell proliferation was clearly inhibited in all the tested concentration. Production of ROS and NO and secretion of pro-inflammatory cytokines were elevated in a dose-dependent manner. Additionally, conversion of LC3B from I-type to II-type and activation of caspase cascade which show autophagic- and apoptotic cell death, respectively, were observed in cells exposed to AFP. Furthermore, AFP decreased mitochondrial volume, inhibited ATP production, and altered the expression of metabolism-related genes. Taken together, we suggest that AFP induces cell death and inflammatory response by influencing mitochondrial function in HCET cells. In addition, we recommend that stringent air quality regulations are needed for eye health.
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Affiliation(s)
- Eun-Jung Park
- Department of Brain Science, Ajou University School of Medicine, Suwon, Republic of Korea.
| | - Jae-Byoung Chae
- Department of Medical Science, Konyang University, Daejeon, Republic of Korea
| | - Jungmook Lyu
- Department of Medical Science, Konyang University, Daejeon, Republic of Korea
| | - Cheolho Yoon
- Seoul Center, Korea Basic Science Institute, Seoul 126-16, Republic of Korea
| | - Sanghwa Kim
- College of Veterinary Medicine, Seoul National University, Seoul 151-742, Republic of Korea
| | - Changjoo Yeom
- Department of Chemical Engineering, Kwangwoon University, Seoul, Republic of Korea
| | - Younghun Kim
- Department of Chemical Engineering, Kwangwoon University, Seoul, Republic of Korea
| | - Jaerak Chang
- Department of Brain Science, Ajou University School of Medicine, Suwon, Republic of Korea; Department of Biomedical Sciences, Ajou University School of Medicine, Suwon, Republic of Korea
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89
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The association between ambient fine particulate air pollution and physical activity: a cohort study of university students living in Beijing. Int J Behav Nutr Phys Act 2017; 14:136. [PMID: 28982357 PMCID: PMC5629773 DOI: 10.1186/s12966-017-0592-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 09/27/2017] [Indexed: 12/20/2022] Open
Abstract
Background Air pollution has become a substantial environmental issue affecting human health and health-related behavior in China. Physical activity is widely accepted as a method to promote health and well-being and is potentially influenced by air pollution. Previous population-based studies have focused on the impact of air pollution on physical activity in the U.S. using a cross-sectional survey method; however, few have examined the impact on middle income countries such as China using follow-up data. The purpose of this study is to examine the impact of ambient fine particulate matter (PM2.5) air pollution on physical activity among freshmen students living in Beijing by use of follow-up data. Methods We conducted 4 follow-up health surveys on 3445 freshmen students from Tsinghua University from 2012 to 2013 and 2480 freshmen completed all 4 surveys. Linear individual fixed-effect regressions were performed based on repeated-measure physical activity-related health behaviors and ambient PM2.5 concentrations among the follow-up participants. Results An increase in ambient PM2.5 concentration by one standard deviation (44.72 μg/m3) was associated with a reduction in 22.32 weekly minutes of vigorous physical activity (95% confidence interval [CI] = 24.88–19.77), a reduction in 10.63 weekly minutes of moderate physical activity (95% CI = 14.61–6.64), a reduction in 32.45 weekly minutes of moderate to vigorous physical activity (MVPA) (95% CI = 37.63–27.28), and a reduction in 226.14 weekly physical activity MET-minute scores (95% CI = 256.06–196.21). The impact of ambient PM2.5 concentration on weekly total minutes of moderate physical activity tended to be greater among males than among females. Conclusions Ambient PM2.5 air pollution significantly discouraged physical activity among Chinese freshmen students living in Beijing. Future studies are warranted to replicate study findings in other Chinese cities and universities, and policy interventions are urgently needed to reduce air pollution levels in China.
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90
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Bowe B, Xie Y, Li T, Yan Y, Xian H, Al-Aly Z. Associations of ambient coarse particulate matter, nitrogen dioxide, and carbon monoxide with the risk of kidney disease: a cohort study. Lancet Planet Health 2017; 1:e267-e276. [PMID: 29851625 DOI: 10.1016/s2542-5196(17)30117-1] [Citation(s) in RCA: 130] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Revised: 09/02/2017] [Accepted: 09/11/2017] [Indexed: 05/24/2023]
Abstract
BACKGROUND Experimental evidence and preliminary clinical evidence suggest that environmental air pollution adversely effects kidney health. Previous work has examined the association between fine particulate matter and risk of kidney disease; however, the association between ambient coarse particulate matter (PM10; ≤10 μm in aerodynamic diameter), nitrogen dioxide (NO2), and carbon monoxide (CO) and risk of incident chronic kidney disease, chronic kidney disease progression, and end-stage renal disease is not clear. METHODS We merged multiple large databases, including those of the Environmental Protection Agency and the Department of Veterans Affairs, to build a cohort of US veterans, and used survival models to evaluate the association between PM10, NO2, and CO concentrations and risk of incident estimated glomerular filtration rate (eGFR) of less than 60 mL/min per 1·73 m2, incident chronic kidney disease, eGFR decline of 30% or more, and end-stage renal disease. We treated exposure as time-varying when it was updated annually and as cohort participants moved. FINDINGS Between Oct 1, 2003, and Sept 30, 2012, 2 010 398 cohort participants were followed up over a median of 8·52 years (IQR 8·05-8·80). An increased risk of eGFR of less than 60 mL/min per 1·73 m2 was associated with an IQR increase in concentrations of PM10 (hazard ratio 1·07, 95% CI 1·06-1·08), NO2 (1·09, 1·08-1·10), and CO (1·09, 1·08-1·10). An increased risk of incident chronic kidney disease was associated with an IQR increase in concentrations of PM10 (1·07, 1·05-1·08), NO2 (1·09, 1·08-1·11), and CO (1·10, 1·08-1·11). An increased risk of an eGFR decline of 30% or more was associated with an IQR increase in concentrations of PM10 (1·08, 1·07-1·09), NO2 (1·12, 1·10-1·13), and CO (1·09, 1·08-1·10). An increased risk of end-stage renal disease was associated with an IQR increase in concentrations of PM10 (1·09, 1·06-1·12), NO2 (1·09, 1·06-1·12), and CO (1·05, 1·02-1·08). Spline analyses suggested a monotonic increasing association between PM10, NO2, and CO concentrations and risk of kidney outcomes. INTERPRETATION Environmental exposure to higher concentrations of PM10, NO2, and CO is associated with increased risk of incident chronic kidney disease, eGFR decline, and end-stage renal disease. FUNDING US Department of Veterans Affairs.
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Affiliation(s)
- Benjamin Bowe
- Clinical Epidemiology Center, Research and Education Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, MO, USA
| | - Yan Xie
- Clinical Epidemiology Center, Research and Education Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, MO, USA
| | - Tingting Li
- Clinical Epidemiology Center, Research and Education Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, MO, USA; Department of Medicine, Washington University School of Medicine, Saint Louis, MO, USA
| | - Yan Yan
- Clinical Epidemiology Center, Research and Education Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, MO, USA; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, Saint Louis, MO, USA
| | - Hong Xian
- Clinical Epidemiology Center, Research and Education Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, MO, USA; Department of Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, USA
| | - Ziyad Al-Aly
- Clinical Epidemiology Center, Research and Education Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, MO, USA; Nephrology Section, Medicine Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, MO, USA; Department of Medicine, Washington University School of Medicine, Saint Louis, MO, USA; Institute for Public Health, Washington University School of Medicine, Saint Louis, MO, USA.
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91
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Yang BY, Qian ZM, Vaughn MG, Nelson EJ, Dharmage SC, Heinrich J, Lin S, Lawrence WR, Ma H, Chen DH, Hu LW, Zeng XW, Xu SL, Zhang C, Dong GH. Is prehypertension more strongly associated with long-term ambient air pollution exposure than hypertension? Findings from the 33 Communities Chinese Health Study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2017; 229:696-704. [PMID: 28711568 PMCID: PMC11875023 DOI: 10.1016/j.envpol.2017.07.016] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 07/05/2017] [Indexed: 06/07/2023]
Abstract
Numerous studies have evaluated the effects of long-term exposure to ambient air pollution on hypertension. However, little information exists regarding its effects on prehypertension, a very common, but understudied cardiovascular indicator. We evaluated data from 24,845 adults (ages 18-74 years) living in three Northeastern Chinese cities in 2009. Blood pressure (BP) was measured by trained observers using a standardized mercuric-column sphygmomanometer. Three-year (from 2006 to 2008) average concentrations of particles with an aerodynamic diameter ≤10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxides (NO2), and ozone (O3) were calculated using data from monitoring stations. Effects were analyzed using generalized additive models and two-level regression analyses, controlling for covariates. We found positive associations of all pollutants with prehypertension (e.g. odds ratio (OR) was 1.17 (95% confidence interval (CI), 1.09-1.25) per interquartile range (IQR) of PM10) in a fully adjusted model, as compared to normotensive participants. These associations were stronger than associations with hypertension (e.g. OR was 1.03 (95% CI, 1.00, 1.07) per IQR of PM10). We have also found positive associations of all studied pollutants with systolic and diastolic BP: e.g., associations with PM10 per IQR were 1.24 mmHg (95% CI, 1.03-1.45) for systolic BP and 0.47 mmHg (95% CI, 0.33-0.61) for diastolic BP. Further, we observed that associations with BP were stronger in women and in older participants (systolic BP only). In conclusion, long-term exposure to ambient air pollution was more strongly associated with prehypertension than with hypertension, especially among females and the elderly. Thus, interventions to reduce air pollution are of great significance for preventing future cardiovascular events, particularly among individuals with prehypertension.
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Affiliation(s)
- Bo-Yi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, Saint Louis 63104, USA
| | - Michael G Vaughn
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis 63104, USA
| | - Erik J Nelson
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, IN 47405, USA
| | - Shyamali C Dharmage
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Vic 3052, Australia
| | - Joachim Heinrich
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Clinical Center, Ludwig Maximilian University, Comprehensive Pneumology Centre Munich, German Centre for Lung Research, Muenchen 80336, Germany
| | - Shao Lin
- Department of Epidemiology and Biostatistics, School of Public Health, State University of New York, New York 12144-3445, USA
| | - Wayne R Lawrence
- Department of Epidemiology and Biostatistics, School of Public Health, State University of New York, New York 12144-3445, USA
| | - Huimin Ma
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Duo-Hong Chen
- Department of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou 510308, China
| | - Li-Wen Hu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiao-Wen Zeng
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shu-Li Xu
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Chuan Zhang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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92
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Bowe B, Xie Y, Li T, Yan Y, Xian H, Al-Aly Z. Particulate Matter Air Pollution and the Risk of Incident CKD and Progression to ESRD. J Am Soc Nephrol 2017; 29:218-230. [PMID: 28935655 DOI: 10.1681/asn.2017030253] [Citation(s) in RCA: 230] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Accepted: 06/17/2017] [Indexed: 12/25/2022] Open
Abstract
Elevated levels of fine particulate matter <2.5 µm in aerodynamic diameter (PM2.5) are associated with increased risk of cardiovascular outcomes and death, but their association with risk of CKD and ESRD is unknown. We linked the Environmental Protection Agency and the Department of Veterans Affairs databases to build an observational cohort of 2,482,737 United States veterans, and used survival models to evaluate the association of PM2.5 concentrations and risk of incident eGFR <60 ml/min per 1.73 m2, incident CKD, eGFR decline ≥30%, and ESRD over a median follow-up of 8.52 years. County-level exposure was defined at baseline as the annual average PM2.5 concentrations in 2004, and separately as time-varying where it was updated annually and as cohort participants moved. In analyses of baseline exposure (median, 11.8 [interquartile range, 10.1-13.7] µg/m3), a 10-µg/m3 increase in PM2.5 concentration was associated with increased risk of eGFR<60 ml/min per 1.73 m2 (hazard ratio [HR], 1.21; 95% confidence interval [95% CI], 1.14 to 1.29), CKD (HR, 1.27; 95% CI, 1.17 to 1.38), eGFR decline ≥30% (HR, 1.28; 95% CI, 1.18 to 1.39), and ESRD (HR, 1.26; 95% CI, 1.17 to 1.35). In time-varying analyses, a 10-µg/m3 increase in PM2.5 concentration was associated with similarly increased risk of eGFR<60 ml/min per 1.73 m2, CKD, eGFR decline ≥30%, and ESRD. Spline analyses showed a linear relationship between PM2.5 concentrations and risk of kidney outcomes. Exposure estimates derived from National Aeronautics and Space Administration satellite data yielded consistent results. Our findings demonstrate a significant association between exposure to PM2.5 and risk of incident CKD, eGFR decline, and ESRD.
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Affiliation(s)
- Benjamin Bowe
- Clinical Epidemiology Center, Research and Education Service and
| | - Yan Xie
- Clinical Epidemiology Center, Research and Education Service and
| | - Tingting Li
- Clinical Epidemiology Center, Research and Education Service and.,Department of Medicine
| | - Yan Yan
- Clinical Epidemiology Center, Research and Education Service and.,Division of Public Health Sciences, Department of Surgery, and
| | - Hong Xian
- Clinical Epidemiology Center, Research and Education Service and.,Department of Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, Missouri
| | - Ziyad Al-Aly
- Clinical Epidemiology Center, Research and Education Service and .,Department of Medicine.,Nephrology Section, Medicine Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, Missouri.,Institute for Public Health, Washington University School of Medicine, Saint Louis, Missouri; and
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93
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Gorr MW, Falvo MJ, Wold LE. Air Pollution and Other Environmental Modulators of Cardiac Function. Compr Physiol 2017; 7:1479-1495. [PMID: 28915333 PMCID: PMC7249238 DOI: 10.1002/cphy.c170017] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Cardiovascular disease (CVD) is the leading cause of death in developed regions and a worldwide health concern. Multiple external causes of CVD are well known, including obesity, diabetes, hyperlipidemia, age, and sedentary behavior. Air pollution has been linked with the development of CVD for decades, though the mechanistic characterization remains unknown. In this comprehensive review, we detail the background and epidemiology of the effects of air pollution and other environmental modulators on the heart, including both short- and long-term consequences. Then, we provide the experimental data and current hypotheses of how pollution is able to cause the CVD, and how exposure to pollutants is exacerbated in sensitive states. Published 2017. Compr Physiol 7:1479-1495, 2017.
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Affiliation(s)
- Matthew W. Gorr
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner College of Medicine, Columbus, Ohio, USA
- College of Nursing, The Ohio State University, Columbus, Ohio, USA
| | - Michael J. Falvo
- War Related Illness and Injury Study Center, Department of Veterans Affairs, New Jersey Health Care System, East Orange, New Jersey, USA
- New Jersey Medical School, Rutgers Biomedical and Health Sciences, Newark, New Jersey, USA
| | - Loren E. Wold
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner College of Medicine, Columbus, Ohio, USA
- College of Nursing, The Ohio State University, Columbus, Ohio, USA
- Department of Physiology and Cell Biology, The Ohio State University, Columbus, Ohio, USA
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94
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An R, Zhang S, Ji M, Guan C. Impact of ambient air pollution on physical activity among adults: a systematic review and meta-analysis. Perspect Public Health 2017; 138:111-121. [PMID: 28829249 DOI: 10.1177/1757913917726567] [Citation(s) in RCA: 112] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
AIMS This study systematically reviewed literature regarding the impact of ambient air pollution on physical activity among children and adults. METHODS Keyword and reference search was conducted in PubMed and Web of Science to systematically identify articles meeting all of the following criteria - study designs: interventions or experiments, retrospective or prospective cohort studies, cross-sectional studies, and case-control studies; subjects: adults; exposures: specific air pollutants and overall air quality; outcomes: physical activity and sedentary behaviour; article types: peer-reviewed publications; and language: articles written in English. Meta-analysis was performed to estimate the pooled effect size of ambient PM2.5 air pollution on physical inactivity. RESULTS Seven studies met the inclusion criteria. Among them, six were conducted in the United States, and one was conducted in the United Kingdom. Six adopted a cross-sectional study design, and one used a prospective cohort design. Six had a sample size larger than 10,000. Specific air pollutants assessed included PM2.5, PM10, O3, and NOx, whereas two studies focused on overall air quality. All studies found air pollution level to be negatively associated with physical activity and positively associated with leisure-time physical inactivity. Study participants, and particularly those with respiratory disease, self-reported a reduction in outdoor activities to mitigate the detrimental impact of air pollution. Meta-analysis revealed a one unit (μg/m3) increase in ambient PM2.5 concentration to be associated with an increase in the odds of physical inactivity by 1.1% (odds ratio = 1.011; 95% confidence interval = 1.001, 1.021; p-value < .001) among US adults. CONCLUSIONS Existing literature in general suggested that air pollution discouraged physical activity. Current literature predominantly adopted a cross-sectional design and focused on the United States. Future studies are warranted to implement a longitudinal study design and evaluate the impact of air pollution on physical activity in heavily polluted developing countries.
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Affiliation(s)
- Ruopeng An
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Sheng Zhang
- School of Sports Journalism and Foreign Studies, Shanghai University of Sport, Shanghai, China
| | - Mengmeng Ji
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL, USA
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Li H, Cai J, Chen R, Zhao Z, Ying Z, Wang L, Chen J, Hao K, Kinney PL, Chen H, Kan H. Particulate Matter Exposure and Stress Hormone Levels. Circulation 2017; 136:618-627. [DOI: 10.1161/circulationaha.116.026796] [Citation(s) in RCA: 271] [Impact Index Per Article: 33.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 05/26/2017] [Indexed: 11/16/2022]
Abstract
Background:
Exposure to ambient particulate matter (PM) is associated with a number of adverse health outcomes, but potential mechanisms are largely unknown. Metabolomics represents a powerful approach to study global metabolic changes in response to environmental exposures. We therefore conducted this study to investigate changes in serum metabolites in response to the reduction of PM exposure among healthy college students.
Methods:
We conducted a randomized, double-blind crossover trial in 55 healthy college students in Shanghai, China. Real and sham air purifiers were placed in participants’ dormitories in random order for 9 days with a 12-day washout period. Serum metabolites were quantified by using gas chromatography-mass spectrometry and ultrahigh performance liquid chromatography-mass spectrometry. Between-treatment differences in metabolites were examined using orthogonal partial least square-discriminant analysis and mixed-effect models. Secondary outcomes include blood pressure, corticotropin-releasing hormone, adrenocorticotropic hormone, insulin resistance, and biomarkers of oxidative stress and inflammation.
Results:
The average personal exposure to PMs with aerodynamic diameters ≤2.5 μm was 24.3 μg/m
3
during the real purification and 53.1 μg/m
3
during the sham purification. Metabolomics analysis showed that higher exposure to PMs with aerodynamic diameters ≤2.5 μm led to significant increases in cortisol, cortisone, epinephrine, and norepinephrine. Between-treatment differences were also observed for glucose, amino acids, fatty acids, and lipids. We found significantly higher blood pressure, hormones, insulin resistance, and biomarkers of oxidative stress and inflammation among individuals exposed to higher PMs with aerodynamic diameters ≤2.5 μm.
Conclusions:
This study suggests that higher PM may induce metabolic alterations that are consistent with activations of the hypothalamus-pituitary-adrenal and sympathetic-adrenal-medullary axes, adding potential mechanistic insights into the adverse health outcomes associated with PM. Furthermore, our study demonstrated short-term reductions in stress hormone following indoor air purification.
Clinical Trial Registration:
URL:
http://www.clinicaltrials.gov
. Unique identifier: NCT02712333.
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Affiliation(s)
- Huichu Li
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
| | - Jing Cai
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
| | - Renjie Chen
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
| | - Zhuohui Zhao
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
| | - Zhekang Ying
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
| | - Lin Wang
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
| | - Jianmin Chen
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
| | - Ke Hao
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
| | - Patrick L. Kinney
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
| | - Honglei Chen
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
| | - Haidong Kan
- From School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China (H.L., J.C., R.C., Z.Z., Z.Y., H.K.); Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, China (J.C., R.C., Z.Y., L.W., J.C.); Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (K.H.); The Icahn Institute for
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Alexander D, Northcross A, Wilson N, Dutta A, Pandya R, Ibigbami T, Adu D, Olamijulo J, Morhason-Bello O, Karrison T, Ojengbede O, Olopade CO. Randomized Controlled Ethanol Cookstove Intervention and Blood Pressure in Pregnant Nigerian Women. Am J Respir Crit Care Med 2017; 195:1629-1639. [PMID: 28081369 DOI: 10.1164/rccm.201606-1177oc] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Hypertension during pregnancy is a leading cause of maternal mortality. Exposure to household air pollution elevates blood pressure (BP). OBJECTIVES To investigate the ability of a clean cookstove intervention to lower BP during pregnancy. METHODS We conducted a randomized controlled trial in Nigeria. Pregnant women cooking with kerosene or firewood were randomly assigned to an ethanol arm (n = 162) or a control arm (n = 162). BP measurements were taken during six antenatal visits. In the primary analysis, we compared ethanol users with control subjects. In subgroup analyses, we compared baseline kerosene users assigned to the intervention with kerosene control subjects and compared baseline firewood users assigned to ethanol with firewood control subjects. MEASUREMENTS AND MAIN RESULTS The change in diastolic blood pressure (DBP) over time was significantly different between ethanol users and control subjects (P = 0.040); systolic blood pressure (SBP) did not differ (P = 0.86). In subgroup analyses, there was no significant intervention effect for SBP; a significant difference for DBP (P = 0.031) existed among preintervention kerosene users. At the last visit, mean DBP was 2.8 mm Hg higher in control subjects than in ethanol users (3.6 mm Hg greater in control subjects than in ethanol users among preintervention kerosene users), and 6.4% of control subjects were hypertensive (SBP ≥140 and/or DBP ≥90 mm Hg) versus 1.9% of ethanol users (P = 0.051). Among preintervention kerosene users, 8.8% of control subjects were hypertensive compared with 1.8% of ethanol users (P = 0.029). CONCLUSIONS To our knowledge, this is the first cookstove randomized controlled trial examining prenatal BP. Ethanol cookstoves have potential to reduce DBP and hypertension during pregnancy. Accordingly, clean cooking fuels may reduce adverse health impacts associated with household air pollution. Clinical trial registered with www.clinicaltrials.gov (NCT02394574).
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Affiliation(s)
| | - Amanda Northcross
- 2 Department of Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia
| | | | - Anindita Dutta
- 1 Center for Global Health.,4 Department of Medicine, and
| | | | - Tope Ibigbami
- 6 Healthy Life for All Foundation, Ibadan, Nigeria; and
| | - Damilola Adu
- 6 Healthy Life for All Foundation, Ibadan, Nigeria; and
| | | | | | - Theodore Karrison
- 8 Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Oladosu Ojengbede
- 7 Department of Obstetrics and Gynecology, University of Ibadan, Ibadan, Nigeria
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97
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Barba-Vasseur M, Bernard N, Pujol S, Sagot P, Riethmuller D, Thiriez G, Houot H, Defrance J, Mariet AS, Luu VP, Barbier A, Benzenine E, Quantin C, Mauny F. Does low to moderate environmental exposure to noise and air pollution influence preterm delivery in medium-sized cities? Int J Epidemiol 2017; 46:2017-2027. [DOI: 10.1093/ije/dyx121] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/09/2017] [Indexed: 11/14/2022] Open
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98
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O’Neal WT, Soliman EZ, Efird JT, Judd SE, Howard VJ, Howard G, McClure LA. Fine particulate air pollution and premature atrial contractions: The REasons for Geographic And Racial Differences in Stroke study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2017; 27:271-275. [PMID: 27649843 PMCID: PMC5457811 DOI: 10.1038/jes.2016.46] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2016] [Accepted: 05/26/2016] [Indexed: 05/03/2023]
Abstract
Several reports have suggested that particulate matter (PM) exposure increases the risk for atrial arrhythmias. However, data from large-scale epidemiologic studies supporting this hypothesis are lacking. We examined the association of PM <2.5 μm in diameter (PM2.5) concentration with premature atrial contractions (PACs) in 26,609 (mean age=65±9.4 years; 55% female; 41% black) participants from the REGARDS (REasons for Geographic And Racial Differences in Stroke) study. Estimates of short- (2 weeks) and long-term (1 year) PM2.5 exposure were computed before each participant's baseline visit using geographic information system data on the individual level at the coordinates of study participants' residences. PACs were identified from baseline electrocardiograms. A total of 2140 (8.2%) participants had evidence of PACs on the baseline electrocardiogram. Short-term PM2.5 (per 10 μg/m3) exposure was not associated with PACs (OR=1.09, 95% CI=0.98, 1.23). Increases in long-term PM2.5 (per 10 μg/m3) were associated with PACs (OR=1.40, 95% CI=1.10, 1.78). Interactions were not detected for short- and long-term PM2.5 exposure by age, sex, or race. Long- but not short-term PM2.5 exposure is associated with PACs. This suggests a role for long-term PM2.5 exposure in initiating supraventricular arrhythmias that are triggered by PACs.
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Affiliation(s)
- Wesley T. O’Neal
- Department of Medicine, Division of Cardiology, Emory University
School of Medicine, Atlanta, GA
| | - Elsayed Z. Soliman
- Department of Medicine, Section on Cardiology, Wake Forest School of
Medicine, Winston-Salem, NC
- Epidemiological Cardiology Research Center (EPICARE), Department of
Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jimmy T. Efird
- Department of Cardiovascular Sciences, East Carolina Heart
Institute, Brody School of Medicine, East Carolina University, Greenville, NC
| | - Suzanne E. Judd
- Department of Biostatistics, School of Public Health, University of
Alabama at Birmingham, Birmingham, AL
| | - Virginia J. Howard
- Department of Epidemiology, School of Public Health, University of
Alabama at Birmingham, Birmingham, AL
| | - George Howard
- Department of Biostatistics, School of Public Health, University of
Alabama at Birmingham, Birmingham, AL
| | - Leslie A. McClure
- Department of Epidemiology and Biostatistics, Dornsife School of
Public Health, Drexel University, Philadelphia, PA
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99
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Kulick ER, Wellenius GA, Kaufman JD, DeRosa JT, Kinney PL, Cheung YK, Wright CB, Sacco RL, Elkind MS. Long-Term Exposure to Ambient Air Pollution and Subclinical Cerebrovascular Disease in NOMAS (the Northern Manhattan Study). Stroke 2017; 48:1966-1968. [PMID: 28455324 DOI: 10.1161/strokeaha.117.016672] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 03/16/2017] [Accepted: 03/29/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Long-term exposure to ambient air pollution is associated with higher risk of cardiovascular disease and stroke. We hypothesized that long-term exposure to air pollution would be associated with magnetic resonance imaging markers of subclinical cerebrovascular disease. METHODS Participants were 1075 stroke-free individuals aged ≥50 years drawn from the magnetic resonance imaging subcohort of the Northern Manhattan Study who had lived at the same residence for at least 2 years before magnetic resonance imaging. Cross-sectional associations between ambient air pollution and subclinical cerebrovascular disease were analyzed. RESULTS We found an association between distance to roadway, a proxy for residential exposure to traffic pollution, and white matter hyperintensity volume; however, after adjusting for risk factors, this relationship was no longer present. All other associations between pollutant measures and white matter hyperintensity volume were null. There was no clear association between exposure to air pollutants and subclinical brain infarcts or total cerebral brain volume. CONCLUSIONS We found no evidence that long-term exposure to ambient air pollution is independently associated with subclinical cerebrovascular disease in an urban population-based cohort.
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Affiliation(s)
- Erin R Kulick
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., M.S.E.), Department of Neurology, College of Physicians and Surgeons (E.R.K., J.T.D., M.S.E.), and Department of Biostatistics, Mailman School of Public Health (Y.K.C.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle (J.D.K.); Department of Environmental Health, Boston University School of Public Health, MA (P.L.K.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (C.B.W., R.L.S.).
| | - Gregory A Wellenius
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., M.S.E.), Department of Neurology, College of Physicians and Surgeons (E.R.K., J.T.D., M.S.E.), and Department of Biostatistics, Mailman School of Public Health (Y.K.C.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle (J.D.K.); Department of Environmental Health, Boston University School of Public Health, MA (P.L.K.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (C.B.W., R.L.S.)
| | - Joel D Kaufman
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., M.S.E.), Department of Neurology, College of Physicians and Surgeons (E.R.K., J.T.D., M.S.E.), and Department of Biostatistics, Mailman School of Public Health (Y.K.C.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle (J.D.K.); Department of Environmental Health, Boston University School of Public Health, MA (P.L.K.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (C.B.W., R.L.S.)
| | - Janet T DeRosa
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., M.S.E.), Department of Neurology, College of Physicians and Surgeons (E.R.K., J.T.D., M.S.E.), and Department of Biostatistics, Mailman School of Public Health (Y.K.C.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle (J.D.K.); Department of Environmental Health, Boston University School of Public Health, MA (P.L.K.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (C.B.W., R.L.S.)
| | - Patrick L Kinney
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., M.S.E.), Department of Neurology, College of Physicians and Surgeons (E.R.K., J.T.D., M.S.E.), and Department of Biostatistics, Mailman School of Public Health (Y.K.C.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle (J.D.K.); Department of Environmental Health, Boston University School of Public Health, MA (P.L.K.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (C.B.W., R.L.S.)
| | - Ying Kuen Cheung
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., M.S.E.), Department of Neurology, College of Physicians and Surgeons (E.R.K., J.T.D., M.S.E.), and Department of Biostatistics, Mailman School of Public Health (Y.K.C.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle (J.D.K.); Department of Environmental Health, Boston University School of Public Health, MA (P.L.K.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (C.B.W., R.L.S.)
| | - Clinton B Wright
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., M.S.E.), Department of Neurology, College of Physicians and Surgeons (E.R.K., J.T.D., M.S.E.), and Department of Biostatistics, Mailman School of Public Health (Y.K.C.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle (J.D.K.); Department of Environmental Health, Boston University School of Public Health, MA (P.L.K.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (C.B.W., R.L.S.)
| | - Ralph L Sacco
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., M.S.E.), Department of Neurology, College of Physicians and Surgeons (E.R.K., J.T.D., M.S.E.), and Department of Biostatistics, Mailman School of Public Health (Y.K.C.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle (J.D.K.); Department of Environmental Health, Boston University School of Public Health, MA (P.L.K.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (C.B.W., R.L.S.)
| | - Mitchell S Elkind
- From the Department of Epidemiology, Mailman School of Public Health (E.R.K., M.S.E.), Department of Neurology, College of Physicians and Surgeons (E.R.K., J.T.D., M.S.E.), and Department of Biostatistics, Mailman School of Public Health (Y.K.C.), Columbia University, New York, NY; Department of Epidemiology, Brown University School of Public Health, Providence, RI (G.A.W.); Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle (J.D.K.); Department of Environmental Health, Boston University School of Public Health, MA (P.L.K.); and Departments of Neurology, Public Health Sciences, and Human Genetics, Miller School of Medicine, University of Miami, FL (C.B.W., R.L.S.)
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100
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Liu C, Chen R, Zhao Y, Ma Z, Bi J, Liu Y, Meng X, Wang Y, Chen X, Li W, Kan H. Associations between ambient fine particulate air pollution and hypertension: A nationwide cross-sectional study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 584-585:869-874. [PMID: 28153400 PMCID: PMC8102884 DOI: 10.1016/j.scitotenv.2017.01.133] [Citation(s) in RCA: 89] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 01/11/2017] [Accepted: 01/20/2017] [Indexed: 05/17/2023]
Abstract
Limited evidence is available regarding the long-term effects of fine particulate (PM2.5) air pollution on hypertension in developing countries. This study aimed to explore the associations of long-term exposure to PM2.5 with hypertension prevalence and blood pressure (BP) in China. We conducted a cross-sectional study based on a nationally representative survey (13,975 participants). We estimated the long-term average exposure to PM2.5 for all subjects during the study period (June 2011 to March 2012) by a satellite-based model with a spatial resolution of 10×10km. We applied multivariable logistic regression models to evaluate the associations between PM2.5 and hypertension prevalence and linear regression models for the associations between PM2.5 and systolic BP and diastolic BP. We also explored potential effect modification by stratification analyses. There were 5715 cases of hypertension, accounting for 40.9% of the study population in this analysis. The annual mean exposure to PM2.5 for all participants was 72.8μg/m3 on average. An interquartile range increase (IQR, 41.7μg/m3) in PM2.5 was associated with higher prevalence of hypertension with an odds ratio of 1.11 [95% confidence interval (CI): 1.05, 1.17]. Systolic BP increased by 0.60mmHg (95% CI: 0.05, 1.15) per an IQR increase in PM2.5. The effects of PM2.5 on hypertension prevalence were stronger among middle-aged, obese and urban participants. This national study indicated that long-term exposure to PM2.5 was associated with increased prevalence of hypertension and slightly higher systolic BP in China.
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Affiliation(s)
- Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China; Shanghai Key Lab of Meteorology and Health, Shanghai, China
| | - Yaohui Zhao
- National School of Development, Peking University, Beijing, China
| | - Zongwei Ma
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu Province, China
| | - Jun Bi
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, Jiangsu Province, China
| | - Yang Liu
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Xia Meng
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Yafeng Wang
- Institute for Social Science Survey, Peking University, Beijing, China
| | - Xinxin Chen
- Institute for Social Science Survey, Peking University, Beijing, China
| | - Weihua Li
- Key Lab of Reproduction Regulation of NPFPC, SIPPR, IRD, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China; Key Lab of Reproduction Regulation of NPFPC, SIPPR, IRD, Fudan University, Shanghai, China.
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