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Dauter UM, Gliga AR, Albin M, Broberg K. Longitudinal changes in cardiovascular disease-related proteins in welders. Int Arch Occup Environ Health 2024; 97:803-812. [PMID: 38958674 PMCID: PMC11416389 DOI: 10.1007/s00420-024-02086-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 06/26/2024] [Indexed: 07/04/2024]
Abstract
OBJECTIVE Occupational exposure to welding fumes is linked to a higher risk of cardiovascular disease; however, the threshold exposure level is unknown. Here, we aimed to identify changes in proteins associated with cardiovascular disease in relation to exposure to welding fumes. METHODS Data were obtained from two timepoints six years apart for 338 non-smoking men (171 welders, 167 controls); of these, 174 (78 welders, 96 controls) had measurements available at both timepoints. Exposure was measured as personal respirable dust (adjusted for personal protective equipment), welding years, and cumulative exposure. Proximity extension assays were used to measure a panel of 92 proteins involved in cardiovascular processes in serum samples. Linear mixed models were used for longitudinal analysis. The biological functions and diseases related to the identified proteins were explored using the Ingenuity Pathway Analysis software. RESULTS At both timepoints, the median respirable dust exposure was 0.7 mg/m3 for the welders. Seven proteins were differentially abundant between the welders and controls and increased incrementally with respirable dust: FGF23, CEACAM8, CD40L, PGF, CXCL1, CD84, and HO1. CD84 was significant after adjusting for multiple comparisons. These proteins have been linked to disorders of blood pressure, damage related to clogged blood vessels, and chronic inflammatory disorders. CONCLUSION Exposure to mild steel welding fumes below current occupational exposure limits for respirable particles and welding fumes in Europe and the US (1-5 mg/m3) was associated with changes in the abundance of proteins related to cardiovascular disease. Further research should evaluate the utility of these proteins as prospective biomarkers of occupational cardiovascular disease.
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Affiliation(s)
- Ulrike Maria Dauter
- Institute of Environmental Medicine, Karolinska Institute, Nobels Väg 13, 171 77, Stockholm, Sweden
| | - Anda Roxana Gliga
- Institute of Environmental Medicine, Karolinska Institute, Nobels Väg 13, 171 77, Stockholm, Sweden
| | - Maria Albin
- Institute of Environmental Medicine, Karolinska Institute, Nobels Väg 13, 171 77, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Karin Broberg
- Institute of Environmental Medicine, Karolinska Institute, Nobels Väg 13, 171 77, Stockholm, Sweden.
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden.
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Moazami TN, Svendsen KVH, Buhagen M, Jørgensen RB. Comparing PM 2.5, respirable dust, and total dust fractions using real-time and gravimetric samples in an exposure chamber study. Heliyon 2023; 9:e16127. [PMID: 37274722 PMCID: PMC10238574 DOI: 10.1016/j.heliyon.2023.e16127] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 04/21/2023] [Accepted: 05/06/2023] [Indexed: 06/06/2023] Open
Abstract
Using an exposure chamber, we investigate the precision of the DustTrak DRX monitor by comparing its results to those obtained from taking traditional gravimetric samples of two stone minerals commonly used in asphalt and lactose powder. We also discuss the possibility of using real-time monitors such as DustTrak DRX for occupational exposure monitoring purposes. The results are based on 19 days of experiment, each day with measurements collected over 4 h. Compared to the gravimetric samples, the DustTrak DRX overestimated the PM2.5 and respirable dust concentrations, while it underestimated the total dust concentration by a factor of nearly two. However, the ratios, being done for more than one material, between the DustTrak DRX and the gravimetric sample readings varied daily and across the different exposure materials. Real-time sensors have the potential to excel at identifying exposure sources, evaluating the measured control efficiency, visualizing variations in exposure to motivate workers, and contributing to the identification of measures to be implemented to reduce exposure. For total dust, a correction factor of at least two should be used to bring its readings up to those for the corresponding gravimetric samples. Also, if the DustTrak DRX is used in the initial profiling of occupational exposure, the exposure could be considered acceptable if the readings are well below the occupational exposure limit (OELs) after correction. If the DustTrak DRX readings, after correction, is close to, or above, the accepted exposure concentrations, more thorough approaches would be required to validate the exposure.
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Affiliation(s)
- Therese Nitter Moazami
- Department of Industrial Economics and Technology Management (IØT), Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway
| | - Kristin v Hirsch Svendsen
- Department of Industrial Economics and Technology Management (IØT), Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway
| | - Morten Buhagen
- Department of Occupational Medicine, St. Olav's University Hospital, 7006, Trondheim, Norway
| | - Rikke Bramming Jørgensen
- Department of Industrial Economics and Technology Management (IØT), Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway
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Lucas D, Guerrero F, Jouve E, Hery S, Capellmann P, Mansourati J. Effect of occupational exposure to welding fumes and noise on heart rate variability: An exposed-unexposed study on welders and airport workers' population. Front Public Health 2022; 10:937774. [PMID: 36249234 PMCID: PMC9554501 DOI: 10.3389/fpubh.2022.937774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/07/2022] [Indexed: 01/25/2023] Open
Abstract
Introduction Welding fumes (WF) are a complex mixture of gas and particles. Action of occupational exposure to WF on cardiovascular system has been recently studied as for noise. Research question The main objectives of our study are therefore to evaluate the impact of exposure to WF, noise, and combined WF and noise on autonomic nervous system as assessed by heart rate variability (HRV). Methods The study groups were 16 welders and eight airport workers (as a control group). All the participants underwent ambulatory electrocardiogram, personal WF, and noise exposure monitoring, respectively, with dust track and calibrated noise dosimeter during workday. Atmospheric environmental assessments at workplaces have been also performed. HRV parameters were summarized for all the workday and hourly. Correlation tests were used to examine relation between HRV parameters and levels of noise exposure in the two population. Analysis of covariance (ANCOVA) was used for mean of each HRV parameters. Results For HRV parameters, we found significant higher levels for mean range of high frequency (HF), standard deviation of normal-to-normal R-R interval (SDNN), and root mean square of successive heartbeat interval difference (RMSSD) in welders which suggested an imbalance between sympathetic and parasympathetic nervous system in this population. For relation between noise and HRV parameters, we noted that levels of low frequency (LF), HF, and SDNN were significantly correlated with mean noise levels for welders (respectively, r = 0.62, r = 0.357, r = 0.48), not in control group. Using ANCOVA, we found that working as a welder significantly increases mean of HF (p = 0.01) and RMSSD (p = 0.02) and decreases in LF/HF (p = 0.008). Indeed, the interaction between exposure to WF and mean noise levels for HF (p = 0.005), LF/HF (p = 0.01), and RMSSD (p = 0.007) was significant. Conclusion This study shows an impact of WF and noise on ANS balance. One hypothesis is WF exposure could increase sensibility to noise exposure on autonomic nervous system or there is a synergic effect.
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Affiliation(s)
- David Lucas
- Center of Environmental and Occupational Diseases, Department of Occupational Health, Brest Teaching Hospital, Brest, France,ORPHY Laboratory, Department of Sciences, Occidental Brittany University Brest, Brest, France,*Correspondence: David Lucas
| | - François Guerrero
- ORPHY Laboratory, Department of Sciences, Occidental Brittany University Brest, Brest, France
| | - Emmanuel Jouve
- Carsat Bretagne (Regional Agency of Occupational Health), Department of Occupational Prevention, Rennes, France
| | - Sophie Hery
- Occupational Health Service, Department of Occupational Prevention, Naval Group, Brest, France
| | - Pascale Capellmann
- Iroise Occupational Health Service, Department of Occupational Prevention 22 Rue de Kervezennec, Brest, France
| | - Jacques Mansourati
- ORPHY Laboratory, Department of Sciences, Occidental Brittany University Brest, Brest, France,Cardiology Unit, Department of Cardiovascular Diseases, Brest Teaching Hospital, Brest, France
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Pallikadavath S, Vali Z, Patel R, Mavilakandy A, Peckham N, Clegg M, Sandilands AJ, Ng GA. The Influence of Environmental Air Pollution on Ventricular Arrhythmias: A Scoping Review. Curr Cardiol Rev 2022; 18:e160422203685. [PMID: 35430968 PMCID: PMC9893149 DOI: 10.2174/1573403x18666220416203716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 12/07/2021] [Accepted: 01/16/2022] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Exposure to air pollution is a recognised risk factor for cardiovascular disease and has been associated with supraventricular arrhythmias. The effect of air pollution on ventricular arrhythmias is less clear. This scoping review assessed the effects of particulate and gaseous air pollutants on the incidence of ventricular arrhythmias. METHODS MEDLINE and EMBASE databases were searched for studies assessing the effects of air pollutants on ventricular tachycardia and ventricular fibrillation. These pollutants were particulate matter (PM) 2.5, PM10, Nitrogen Dioxide (NO2), Carbon Monoxide (CO), Sulphur Dioxide (SO2), and Ozone (O3). RESULTS This review identified 27 studies: nine in individuals with implantable cardioverter defibrillators, five in those with ischaemic heart disease, and 13 in the general population. Those with ischaemic heart disease appear to have the strongest association with ventricular arrhythmias in both gaseous and particulate pollution, with all three studies assessing the effects of PM2.5 demonstrating some association with ventricular arrythmia. Results in the general and ICD population were less consistent. CONCLUSION Individuals with ischaemic heart disease may be at an increased risk of ventricular arrhythmias following exposure to air pollution.
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Affiliation(s)
- Susil Pallikadavath
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Zakariyya Vali
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Roshan Patel
- Leicester Medical School, College of Life Sciences, University of Leicester, UK
| | - Akash Mavilakandy
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Nicholas Peckham
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Matt Clegg
- Department of Geography, University of Birmingham, Birmingham, UK
| | - Alastair J. Sandilands
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - G. André Ng
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
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Taj T, Gliga AR, Hedmer M, Wahlberg K, Assarsson E, Lundh T, Tinnerberg H, Albin M, Broberg K. Effect of welding fumes on the cardiovascular system: a six-year longitudinal study. Scand J Work Environ Health 2021; 47:52-61. [PMID: 32725248 PMCID: PMC7801138 DOI: 10.5271/sjweh.3908] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Objective This study investigated whether low-to-moderate exposure to welding fumes is associated with adverse effects on the cardiovascular system. Methods To test this, we performed a longitudinal analysis of 78 mild steel welders and 96 controls; these subjects were examined twice, six years apart (ie, timepoints 1 and 2). All subjects (male and non-smoking at recruitment) completed questionnaires describing their health, work history, and lifestyle. We measured their blood pressure, endothelial function (by EndoPAT), and risk markers for cardiovascular disease [low-density lioprotein (LDL), homocysteine, C-reactive protein]. Exposure to welding fumes was assessed from the responses to questionnaires and measurements of respirable dust in their breathing zones adjusted for use of respiratory protection equipment. Linear mixed-effect regression models were used for the longitudinal analysis. Results Median respirable dust concentrations, adjusted for respirable protection, of the welders were 0.7 (5-95 percentile range 0.2-4.2) and 0.5 (0.1-1.9) mg/m 3at timepoints 1 and 2, respectively. Over the six-year period, welders showed a statistically significant increase in systolic [5.11 mm Hg, 95% confidence interval (CI) 1.92-8.31] and diastolic (3.12 mm Hg, 95% CI 0.74-5.5) blood pressure compared with controls (multi-variable adjusted mixed effect models). Diastolic blood pressure increased non-significantly by 0.22 mm Hg (95% CI -0.02-0.45) with every additional year of welding work. No consistent significant associations were found between exposure and endothelial function, LDL, homocysteine, or C-reactive protein. Conclusion Exposure to welding fumes at low-to-moderate levels is associated with increased blood pressure, suggesting that reducing the occupational exposure limit (2.5 mg/m 3for inorganic respirable dust in Sweden) is needed to protect cardiovascular health of workers.
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Affiliation(s)
- Tahir Taj
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
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Carll AP, Salatini R, Pirela SV, Wang Y, Xie Z, Lorkiewicz P, Naeem N, Qian Y, Castranova V, Godleski JJ, Demokritou P. Inhalation of printer-emitted particles impairs cardiac conduction, hemodynamics, and autonomic regulation and induces arrhythmia and electrical remodeling in rats. Part Fibre Toxicol 2020; 17:7. [PMID: 31996220 PMCID: PMC6990551 DOI: 10.1186/s12989-019-0335-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 12/29/2019] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Using engineered nanomaterial-based toners, laser printers generate aerosols with alarming levels of nanoparticles that bear high bioactivity and potential health risks. Yet, the cardiac impacts of printer-emitted particles (PEPs) are unknown. Inhalation of particulate matter (PM) promotes cardiovascular morbidity and mortality, and ultra-fine particulates (< 0.1 μm aerodynamic diameter) may bear toxicity unique from larger particles. Toxicological studies suggest that PM impairs left ventricular (LV) performance; however, such investigations have heretofore required animal restraint, anesthesia, or ex vivo preparations that can confound physiologic endpoints and/or prohibit LV mechanical assessments during exposure. To assess the acute and chronic effects of PEPs on cardiac physiology, male Sprague Dawley rats were exposed to PEPs (21 days, 5 h/day) while monitoring LV pressure (LVP) and electrocardiogram (ECG) via conscious telemetry, analyzing LVP and heart rate variability (HRV) in four-day increments from exposure days 1 to 21, as well as ECG and baroreflex sensitivity. At 2, 35, and 70 days after PEPs exposure ceased, rats received stress tests. RESULTS On day 21 of exposure, PEPs significantly (P < 0.05 vs. Air) increased LV end systolic pressure (LVESP, + 18 mmHg) and rate-pressure-product (+ 19%), and decreased HRV indicating sympathetic dominance (root means squared of successive differences [RMSSD], - 21%). Overall, PEPs decreased LV ejection time (- 9%), relaxation time (- 3%), tau (- 5%), RMSSD (- 21%), and P-wave duration (- 9%). PEPs increased QTc interval (+ 5%) and low:high frequency HRV (+ 24%; all P < 0.05 vs. Air), while tending to decrease baroreflex sensitivity and contractility index (- 15% and - 3%, P < 0.10 vs. Air). Relative to Air, at both 2 and 35 days after PEPs, ventricular arrhythmias increased, and at 70 days post-exposure LVESP increased. PEPs impaired ventricular repolarization at 2 and 35 days post-exposure, but only during stress tests. At 72 days post-exposure, PEPs increased urinary dopamine 5-fold and protein expression of ventricular repolarizing channels, Kv1.5, Kv4.2, and Kv7.1, by 50%. CONCLUSIONS Our findings suggest exposure to PEPs increases cardiovascular risk by augmenting sympathetic influence, impairing ventricular performance and repolarization, and inducing hypertension and arrhythmia. PEPs may present significant health risks through adverse cardiovascular effects, especially in occupational settings, among susceptible individuals, and with long-term exposure.
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Affiliation(s)
- Alex P. Carll
- Department of Physiology, School of Medicine, University of Louisville, Louisville, KY USA
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY USA
- Center for Nanotechnology and Nanotoxicology. Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Room 1310, Boston, MA 02115 USA
| | - Renata Salatini
- Department of Physiology, School of Medicine, University of Louisville, Louisville, KY USA
- Department of Surgery, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Sandra V. Pirela
- Center for Nanotechnology and Nanotoxicology. Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Room 1310, Boston, MA 02115 USA
| | - Yun Wang
- Center for Nanotechnology and Nanotoxicology. Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Room 1310, Boston, MA 02115 USA
- Department of Occupational and Environmental Health Sciences,School of Public Health, Peking University, Beijing, People’s Republic of China
| | - Zhengzhi Xie
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY USA
| | - Pawel Lorkiewicz
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY USA
| | - Nazratan Naeem
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY USA
| | - Yong Qian
- Pathology and Physiology Research Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, WV USA
| | - Vincent Castranova
- Department of Pharmaceutical Sciences/Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, WV USA
| | - John J. Godleski
- Center for Nanotechnology and Nanotoxicology. Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Room 1310, Boston, MA 02115 USA
| | - Philip Demokritou
- Center for Nanotechnology and Nanotoxicology. Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Room 1310, Boston, MA 02115 USA
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Feng B, Song X, Dan M, Yu J, Wang Q, Shu M, Xu H, Wang T, Chen J, Zhang Y, Zhao Q, Wu R, Liu S, Yu JZ, Wang T, Huang W. High level of source-specific particulate matter air pollution associated with cardiac arrhythmias. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 657:1285-1293. [PMID: 30677895 DOI: 10.1016/j.scitotenv.2018.12.178] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 12/06/2018] [Accepted: 12/11/2018] [Indexed: 06/09/2023]
Abstract
Epidemiological evidence linking source-specific ambient particulate matter with aerodynamic diameter <2.5 μm (PM2.5) and cardiac arrhythmias is limited. In this study, we investigated the impact of source-specific PM2.5 on cardiac arrhythmias in a panel of forty-five healthy adults living in Beijing, China, between 2015 and 2016. Repeated measures of 24-hour electrocardiograms were conducted during clinical visits, and daily counts of four arrhythmia events including supraventricular premature beat (SVPB), atrial tachycardia (AT), premature ventricular contraction (PVC) and ventricular tachycardia (VT) were recorded. One hundred forty-seven constituents in PM2.5 were analyzed for collected particulate samples, in which fifty-six of them above laboratory detection limits were selected for source apportionment analysis using positive matrix factorization. The average contributions of identified five major sources to PM2.5 were 45.9% from secondary nitrate/sulfate, 18.0% from coal combustion, 16.9% from crustal soil, 13.8% from biomass burning, and 5.4% from cooking. Generalized estimating equation models were used to estimate relative risks (RR) of arrhythmias in association with interquartile-range (IQR) increases in PM2.5 constituents and specific sources. Total PM2.5 mass as well as several combustion related constituents were found of significant impacts on increased risks of arrhythmia events. Among the identified sources of PM2.5, coal burning has been found the major source that associated with increased risks of SVPB, PVC and VT with RR of 1.19 [95% confidence intervals (CI): 1.04, 1.36] to 1.64 (95% CI: 1.35, 2.00). PM2.5 from combustion related secondary nitrate/sulfate was also found of significant impact on SVPB and AT, followed by PM2.5 from biomass burning and crustal soil. Our results indicated that PM2.5 from anthropogenic activity related sources were most responsible for increased risks of arrhythmia events. Our findings enhance the understanding of increased risks of arrhythmias from exposure to PM2.5, and provide evidence on source-specific PM control priorities.
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Affiliation(s)
- Baihuan Feng
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Mo Dan
- Beijing Municipal Institute of Labor Protection, Beijing, China
| | - Jie Yu
- George Institute for Global Health, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia; Department of Cardiology, Peking University Third Hospital, Beijing, China
| | - Qiongqiong Wang
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Mushui Shu
- Beijing Municipal Institute of Labor Protection, Beijing, China
| | - Hongbing Xu
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Tong Wang
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Jie Chen
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Yi Zhang
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Qian Zhao
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Rongshan Wu
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Shuo Liu
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China
| | - Jian Zhen Yu
- Department of Chemistry, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Tong Wang
- Beijing Municipal Institute of Labor Protection, Beijing, China
| | - Wei Huang
- Department of Occupational and Environmental Health, Peking University School of Public Health, Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China.
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Tsai T, Lo L, Liu S, Cheng W, Chou Y, Lin W, Shinya Y, Lin Y, Chang S, Hu Y, Chung F, Liao J, Chao T, Tuan T, Chen S. Ambient fine particulate matter (PM2.5) exposure is associated with idiopathic ventricular premature complexes burden: A cohort study with consecutive Holter recordings. J Cardiovasc Electrophysiol 2019; 30:487-492. [DOI: 10.1111/jce.13829] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 11/20/2018] [Accepted: 12/03/2018] [Indexed: 01/02/2023]
Affiliation(s)
- Tsung‐Ying Tsai
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
| | - Li‐Wei Lo
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
- Institute of Clinical Medicine, and Cardiovascular Research Institute, National Yang‐Ming UniversityTaipei Taiwan
| | - Shin‐Huei Liu
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
| | - Wen‐Han Cheng
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
| | - Yu‐Hui Chou
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
| | - Wei‐Lun Lin
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
- Institute of Clinical Medicine, and Cardiovascular Research Institute, National Yang‐Ming UniversityTaipei Taiwan
| | - Yamada Shinya
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
| | - Yenn‐Jiang Lin
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
- Institute of Clinical Medicine, and Cardiovascular Research Institute, National Yang‐Ming UniversityTaipei Taiwan
| | - Shih‐Lin Chang
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
- Institute of Clinical Medicine, and Cardiovascular Research Institute, National Yang‐Ming UniversityTaipei Taiwan
| | - Yu‐Feng Hu
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
- Institute of Clinical Medicine, and Cardiovascular Research Institute, National Yang‐Ming UniversityTaipei Taiwan
| | - Fa‐Po Chung
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
- Institute of Clinical Medicine, and Cardiovascular Research Institute, National Yang‐Ming UniversityTaipei Taiwan
| | - Jo‐Nan Liao
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
- Institute of Clinical Medicine, and Cardiovascular Research Institute, National Yang‐Ming UniversityTaipei Taiwan
| | - Tze‐Fan Chao
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
- Institute of Clinical Medicine, and Cardiovascular Research Institute, National Yang‐Ming UniversityTaipei Taiwan
| | - Ta‐Chuan Tuan
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
- Institute of Clinical Medicine, and Cardiovascular Research Institute, National Yang‐Ming UniversityTaipei Taiwan
| | - Shih‐Ann Chen
- Division of Cardiology, Department of MedicineTaipei Veterans General HospitalTaipei Taiwan
- Institute of Clinical Medicine, and Cardiovascular Research Institute, National Yang‐Ming UniversityTaipei Taiwan
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