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Regencia ZJG, Zhao W, Torres-Roja C, Jones BC, Baja ES. Association between lead and circulating markers of inflammation among traffic enforcers in Metro Manila, Philippines: the MMDA traffic enforcer's health study. Int Arch Occup Environ Health 2024; 97:303-311. [PMID: 38351350 DOI: 10.1007/s00420-023-02044-w] [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: 10/23/2023] [Accepted: 12/30/2023] [Indexed: 03/19/2024]
Abstract
PURPOSE Several epidemiological studies have linked lead (Pb) exposure to induced oxidative stress and the promotion of inflammatory response. We performed a within-subjects study (repeated measures study) to evaluate the relationship between the concentration of blood lead (B-Pb) and toenail lead (T-Pb) and circulating markers of inflammation. METHODS We evaluated the associations between B-Pb concentrations and T-Pb concentrations and circulating markers of inflammation, soluble intracellular adhesion molecule-1 (s-ICAM-1), soluble vascular adhesion molecule-1 (s-VCAM-1), and high-sensitivity C-reactive protein (hs-CRP) on 158 traffic enforcers from the Metropolitan Manila Development Authority (MMDA) traffic enforcer's health study. Linear mixed-effects models with random subject-specific intercepts were fitted to estimate the association between B-Pb and T-Pb exposure and circulating markers of inflammation, adjusting for confounding factors. RESULTS Traffic enforcers were middle-aged men (89.4%) with a mean age (± SD) of 37.1 years ± 8.9 years and had a total of 293 valid markers of inflammation measurements. B-Pb concentration was related to increased hs-CRP levels. A 10% increase in B-Pb was associated with a 5.7% increase in hs-CRP level [95% confidence interval (95% CI): 1.3-10.1]. However, B-Pb was not associated with s-ICAM-1 and s-VCAM-1. Furthermore, no associations were observed between T-Pb and all the circulating markers of inflammation. CONCLUSIONS Low-level B-Pb may increase hs-CRP among traffic enforcers. Moreover, the study suggests that Pb via the oxidative and inflammation pathways may have an essential role in the development of cardiovascular disease. Furthermore, MMDA and the Department of Labor and Employment can use our study's findings as evidence to conduct routine screening of blood heavy metals, especially Pb, among MMDA and other traffic enforcers as part of their yearly medical examination.
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Affiliation(s)
- Zypher Jude G Regencia
- Department of Clinical Epidemiology, College of Medicine, University of the Philippines Manila, Room 103, Paz Mendoza Bldg., 547 Pedro Gil Street, 1000, Manila, Philippines
- Institute of Clinical Epidemiology, National Institutes of Health, University of the Philippines Manila, Room 201, NIH Bldg., 623 Pedro Gil Street, Ermita, 1000, Manila, Philippines
| | - Wenyuan Zhao
- Department of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Carolina Torres-Roja
- Department of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Byron C Jones
- Department of Genetics, Genomics and Informatics, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Emmanuel S Baja
- Department of Clinical Epidemiology, College of Medicine, University of the Philippines Manila, Room 103, Paz Mendoza Bldg., 547 Pedro Gil Street, 1000, Manila, Philippines.
- Institute of Clinical Epidemiology, National Institutes of Health, University of the Philippines Manila, Room 201, NIH Bldg., 623 Pedro Gil Street, Ermita, 1000, Manila, Philippines.
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Zhang X, Colicino E, Cowell W, Enlow MB, Kloog I, Coull BA, Schwartz JD, Wright RO, Wright RJ. Prenatal exposure to air pollution and BWGA Z-score: Modifying effects of placenta leukocyte telomere length and infant sex. ENVIRONMENTAL RESEARCH 2024; 246:117986. [PMID: 38145728 DOI: 10.1016/j.envres.2023.117986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 12/01/2023] [Accepted: 12/17/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Air pollutants, such as fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3), have been associated with adverse birth outcomes, including low birth weight, often exhibiting sex-specific effects. However, the modifying effect of placental telomere length (TL), reflecting cumulative lifetime oxidative stress in mothers, remains unexplored. METHOD Using data from a Northeastern U.S. birth cohort (n = 306), we employed linear regression and weighted quantile sum models to assess trimester-average air pollution exposures and birth weight for gestational age (BWGA) z-scores. Placental TL, categorized by median split, was considered as an effect modifier. Interactions among air pollutants, placental TL, infant sex, and BWGA z-score were evaluated. RESULTS Without placental TL as a modifier, only 1st trimester O3 was significantly associated with BWGA z-scores (coefficient: 0.33, 95% CI: 0.03, 0.63). In models considering TL interactions, a significant modifying effect was observed between 3rd trimester NO2 and BWGA z-scores (interaction p-value = 0.02). Specifically, a one interquartile range (1-IQR) increase in 3rd trimester NO2 was linked to a 0.28 (95% CI: 0.06, 0.52) change in BWGA z-score among shorter placental TL group, with no significant association among longer TL group. Among male infants, there were significant associations between 3rd trimester PM2.5 exposure and BWGA z-scores in the longer TL group (coefficient: -0.34, 95% CI: -0.61, -0.02), and between 1st trimester O3 exposure and BWGA z-scores among males in the shorter TL group (coefficient: 0.59, 95% CI: 0.06, 1.08). For females, only a negative association in 2nd trimester mixture model was observed within the longer TL group (coefficient: -0.10, 95% CI: -0.21, -0.01). CONCLUSION These findings highlight the need to consider the complex interactions among prenatal air pollutant exposures, placental TL, and fetal sex to better elucidate those at greatest risk for adverse birth outcomes.
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Affiliation(s)
- Xueying Zhang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Whitney Cowell
- Department of Pediatrics, Grossman School of Medicine, New York University, New York, NY, USA
| | - Michelle Bosquet Enlow
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Liu X, Wang Y, Fang J, Chen R, Sun Y, Tang S, Wang M, Kan H, Li T, Chen D. Plastic additive components of PM 2.5 increase corrected QT interval: Screening for exposure markers based on airborne exposome. PNAS NEXUS 2023; 2:pgad397. [PMID: 38047040 PMCID: PMC10691654 DOI: 10.1093/pnasnexus/pgad397] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Accepted: 11/06/2023] [Indexed: 12/05/2023]
Abstract
The impact of industrial chemical components of ambient fine particles (e.g. PM2.5) on cardiovascular health has been poorly explored. Our study reports for the first time the associations between human exposure to complex plastic additive (PA) components of PM2.5 and prolongation of heart rate-corrected QT (QTC) interval by employing a screening-to-validation strategy based on a cohort of 373 participants (136 in the screening set and 237 in the validation set) recruited from 7 communities across China. The high-throughput airborne exposome framework revealed ubiquitous occurrences of 95 of 224 target PAs in PM2.5, totaling from 66.3 to 555 ng m-3 across the study locations. Joint effects were identified for 9 of the 13 groups of PAs with positive associations with QTC interval. Independent effect analysis also identified and validated tris(2-chloroisopropyl) phosphate, di-n-butyl/diisobutyl adipate, and 3,5-di-tert-butyl-4-hydroxybenzaldehyde as the key exposure markers for QTC interval prolongation and changes of selected cardiovascular biomarkers. Our findings highlight the important contributions of airborne industrial chemicals to the risks of cardiovascular diseases and underline the critical need for further research on the underlying mechanisms, toxic modes of action, and human exposure risks.
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Affiliation(s)
- Xiaotu Liu
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 511443, China
| | - Yanwen Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Yue Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Shuqin Tang
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 511443, China
| | - Minghao Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Da Chen
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 511443, China
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Han X, Cao M, Pan Z, Guo J, Huang D, Sun W, Mi J, Li P, Liu Y, Xue T, Guan T. Association between long-term exposure to PM 2.5 constituents and electrocardiographic abnormality: A nationwide longitudinal study in China. ENVIRONMENT INTERNATIONAL 2023; 178:108130. [PMID: 37572496 DOI: 10.1016/j.envint.2023.108130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 07/17/2023] [Accepted: 08/01/2023] [Indexed: 08/14/2023]
Abstract
BACKGROUND Electrocardiogram (ECG) abnormalities are known to have prognostic value for heart conditions, while evidence on the relationship between long-term exposure to PM2.5 constituents and electrocardiographic (ECG) abnormalities is limited. This study aimed to quantify the association between long-term exposure to PM2.5 constituents and changes in ECG diagnoses. METHODS We designed a longitudinal study among participants with repeated records of ECG examination based on the China National Stroke Screening Survey 2013-2018. Logistic regressions with multiple adjustment, estimated by the generalized estimating equation to incorporate repeated measurements, were used to assess the associations between the occurrence of any physician-diagnosed ECG abnormalities and long-term exposure to PM2.5 constituents. RESULTS We included 61,094 participants with 132,249 visits. All five constituents (sulfate, nitrate, ammonium, organic matter, and black carbon) were significantly associated with an increased risk of ECG abnormalities. The excess risk of ECG abnormalities per interquartile-range increase in exposure was the highest for sulfate (26%, 95% confidence interval [CI] 23-29%), followed by ammonium (22%, 19-26%), nitrate (21%, 17-24%), black carbon (16%, 13-10%) and organic matter (9%,6%-11%). We also found that atrial fibrillation patients might be susceptible to the adverse effects of PM2.5 constituents on ECG. CONCLUSION Differential associations between various constituents of PM2.5 and ECG abnormalities were found. The unequal toxicities for different chemical constituents of ambient particles on cardiovascular electrophysiological endpoints should be taken into consideration when considering the biological pathways linking PM2.5 and cardiovascular conditions.
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Affiliation(s)
- Xueyan Han
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Man Cao
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Zhaoyang Pan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jian Guo
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Dengmin Huang
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Wei Sun
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jiarun Mi
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Pengfei Li
- Institute of Reproductive and Child Health/ National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Tao Xue
- Institute of Reproductive and Child Health/ National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
| | - Tianjia Guan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
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Peralta AA, Gold DR, Yazdi MD, Wei Y, Schwartz J. The role of short-term air pollution and temperature on arterial stiffness in a longitudinal closed cohort of elderly individuals. ENVIRONMENTAL RESEARCH 2023; 216:114597. [PMID: 36279911 DOI: 10.1016/j.envres.2022.114597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND/AIMS Our study adds to the sparse literature that examines whether arterial stiffness, related to cardiovascular risk, increases with exposure to air pollution. We assessed the associations between spatiotemporally resolved air pollutants and vascular and hemodynamic parameters in an elderly population-based in Eastern Massachusetts. METHODS Among 397 men living in Eastern Massachusetts between 2007 and 2013, we utilized time-varying linear mixed-effects regressions to examine associations between central augmentation index (%) and central pulse pressure (mmHg) and short-term (0-7 days) exposure to air pollution concentrations (fine particulate matter (PM2.5), nitrogen dioxide (NO2), ozone (O3)), and temperature adjusted for known cardiovascular risk factors. Central augmentation index (AIx) and pulse pressure (AP) were measured at each visit using radial artery applanation tonometry for pulse wave analysis. Each air pollutant and temperature were geocoded to the participant's residential address using validated ensemble and hybrid exposure models and gridMET predictions. RESULTS We found consistent results that higher short-term PM2.5 concentrations (0-7 day moving averages) were associated with significantly higher measures of arterial stiffness. Each 4.52 μg/m3 interquartile range (IQR) increase in daily PM2.5 for a 3-day moving average was associated with a 0.63% (95% confidence interval (CI): 0.11, 1.15) increase in AIx and a 1.65 mmHg (95% CI: 0.42, 2.88) increase in pulse pressure. Furthermore, each 3.83 μg/m3 IQR increase in daily PM2.5 for a 7-day moving average was associated with a 0.57% (95% CI: -0.01, 1.14) increase in AIx and a 1.91 mmHg (95% CI: 0.54, 3.28) increase in pulse pressure. Smaller increases in AIx and AP were observed for the other short-term moving averages of PM2.5 exposure apart from days zero and five for AIx. We found no clear association between O3, NO2, temperature, and the outcomes. CONCLUSIONS Short-term PM2.5 exposure was associated with markers of arterial stiffness and central hemodynamics.
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Affiliation(s)
- Adjani A Peralta
- Department of Environmental Health; Harvard T.H. Chan School of Public Health, United States.
| | - Diane R Gold
- Department of Environmental Health; Harvard T.H. Chan School of Public Health, United States; Channing Division of Network Medicine, Department of Medicine; Brigham and Women's Hospital and Harvard Medical School, United States
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health; Harvard T.H. Chan School of Public Health, United States
| | - Yaguang Wei
- Department of Environmental Health; Harvard T.H. Chan School of Public Health, United States
| | - Joel Schwartz
- Department of Environmental Health; Harvard T.H. Chan School of Public Health, United States; Department of Epidemiology; Harvard T.H. Chan School of Public Health, United States
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Du P, Du H, Lu K, He MZ, Feng D, He M, Liu T, Hu J, Li T. Traffic-related PM 2.5 and its specific constituents on circulatory mortality: A nationwide modelling study in China. ENVIRONMENT INTERNATIONAL 2022; 170:107652. [PMID: 36446182 DOI: 10.1016/j.envint.2022.107652] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/18/2022] [Accepted: 11/20/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Short-term fine particulate matter (PM2.5) exposure and increased circulatory mortality have been well documented. However, there are inconsistent findings on mortality effects of traffic-related pollutants from the perspective of sources or constituents. Few studies have examined such associations using source and constituents simultaneously, and even less are based on large-scale, nationally representative data. We aimed to conduct a comprehensive analysis to investigate source- and constituent-specific mortality effects due to traffic-related PM2.5 pollution in China. METHODS We extracted daily mortality data in 280 counties from the China Disease Surveillance Points system (DSPs) from January 2013 to December 2018. Daily concentrations of traffic-related PM2.5 and specific constituents were simulated using the Community Multiscale Air Quality (CMAQ) model. The downscaling and adjustment methods were carried out to generate a refined exposure assessment. We estimated the circulatory mortality risk using a standard two-stage approach, combining generalized linear model (GLM) with a quasi-Poisson distribution and random-effects meta-analysis. RESULTS We observed that traffic-related PM2.5 and specific constituents were significantly associated with increased circulatory mortality. An increase of interquartile range of traffic-related PM2.5, elemental carbon (EC), organic carbon (OC), and nitrate (NO3-) were associated with elevated circulatory mortality risks of 1.80 % (95 % confidence interval, CI: 1.27, 2.33), 1.85 % (1.33, 2.37), 1.42 % (0.90, 1.94), and 1.10 % (0.55, 1.66) at 3-day moving average (lag 0-2 days), respectively. We also found relatively high associations between traffic-related PM2.5 and EC exposures and cardiovascular mortality, and OC exposure and cerebrovascular mortality. Moreover, our stratified analysis demonstrated such mortality risks tended to be stronger in males, individuals age 65 years or older, and during the cold season. CONCLUSION Our findings provided robust evidence on significant associations of traffic-related PM2.5 and specific constituents with circulatory mortality. Further emissions abatement from the transportation sector and corresponding pollutants should merit a particular focus in China.
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Affiliation(s)
- Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Hang Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Kailai Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Mike Z He
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, NY 10029, USA
| | - Da Feng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Miao He
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Ting Liu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; School of Public Health, Nanjing Medical University, Nanjing 211166, China.
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Peralta AA, Schwartz J, Gold DR, Coull B, Koutrakis P. Associations between acute and long-term exposure to PM2.5 components and temperature with QT interval length in the VA Normative Aging Study. Eur J Prev Cardiol 2021; 28:1610-1617. [PMID: 33580791 PMCID: PMC8289946 DOI: 10.1093/eurjpc/zwaa161] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 11/30/2020] [Accepted: 12/15/2020] [Indexed: 11/12/2022]
Abstract
AIMS Our study adds to the sparse literature on the effect of multiple fine particulate matter (PM2.5) components on QT interval length, an outcome with high clinical relevance in vulnerable populations. To our knowledge, this is the first study to examine the association between spatiotemporally resolved exposures to PM2.5 components and QT interval length. METHODS AND RESULTS Among 578 men living in Eastern Massachusetts between 2000 and 2011, we utilized time-varying linear mixed-effects regressions with a random intercept to examine associations between acute (0-3 days), intermediate (4-28 days), and long-term (1 year) exposure to PM2.5 components, temperature, and heart-rate corrected QT interval (QTc). Each of the PM2.5 components and temperature was geocoded to the participant's residential address using validated ensemble and hybrid exposure models and gridMET predictions. We also evaluated whether diabetic status modified the association between PM2.5 components and QTc interval. We found consistent results that higher sulfate levels and colder temperatures were associated with significant longer QTc across all moving averages except the day of exposure. The greatest effect of sulfate and temperature was detected for the 28-day moving average. In the multi-pollutant model, each 1.5 µg/m3 IQR increase in daily sulfate was associated with a 15.1 ms [95% confidence interval (CI): 10.2-20.0] increase in QTc interval and in the single-pollutant models a 15.3 ms (95% CI: 11.6-19.1) increase in QTc interval. Other secondary particles, such as nitrate and organic carbon, also prolonged QT interval, while elemental carbon decreased QT interval. We found that diabetic status did not modify the association between PM2.5 components and QTc interval. CONCLUSION Acute and long-term exposure to PM2.5 components and temperature are associated with changes in ventricular repolarization as measured by QT interval.
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Affiliation(s)
- Adjani A. Peralta
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue Building 1, Boston, Massachusetts 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue Building 1, Boston, Massachusetts 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Diane R. Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue Building 1, Boston, Massachusetts 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue Building 1, Boston, Massachusetts 02115, USA
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Oka M. Interpreting a standardized and normalized measure of neighborhood socioeconomic status for a better understanding of health differences. Arch Public Health 2021; 79:226. [PMID: 34911564 PMCID: PMC8672510 DOI: 10.1186/s13690-021-00750-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 11/27/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Standardization and normalization of continuous covariates are used to ease the interpretation of regression coefficients. Although these scaling techniques serve different purposes, they are sometimes used interchangeably or confused for one another. Therefore, the objective of this study is to demonstrate how these scaling techniques lead to different interpretations of the regression coefficient in multilevel logistic regression analyses. METHODS Area-based socioeconomic data at the census tract level were obtained from the 2015-2019 American Community Survey for creating two measures of neighborhood socioeconomic status (SES), and a hypothetical data on health condition (favorable versus unfavorable) was constructed to represent 3000 individuals living across 300 census tracts (i.e., neighborhoods). Two measures of neighborhood SES were standardized by subtracting its mean and dividing by its standard deviation (SD) or by dividing by its interquartile range (IQR), and were normalized into a range between 0 and 1. Then, four separate multilevel logistic regression analyses were conducted to assess the association between neighborhood SES and health condition. RESULTS Based on standardized measures, the odds of having unfavorable health condition was roughly 1.34 times higher for a one-SD change or a one-IQR change in neighborhood SES; these reflect a health difference of individuals living in relatively high SES (relatively affluent) neighborhoods and those living in relatively low SES (relatively deprived) neighborhoods. On the other hand, when these standardized measures were replaced by its respective normalized measures, the odds of having unfavorable health condition was roughly 3.48 times higher for a full unit change in neighborhood SES; these reflect a health difference of individuals living in highest SES (most affluent) neighborhoods and those living in lowest SES (most deprived) neighborhoods. CONCLUSION Multilevel logistic regression analyses using standardized and normalized measures of neighborhood SES lead to different interpretations of the effect of neighborhood SES on health. Since both measures are valuable in their own right, interpreting a standardized and normalized measure of neighborhood SES will allow us to gain a more rounded view of the health differences of individuals along the gradient of neighborhood SES in a certain geographic location as well as across different geographic locations.
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Affiliation(s)
- Masayoshi Oka
- Department of Management, Faculty of Management, Josai University, 1-1 Keyakidai, Sakado City, Saitama Prefecture, 350-0295, Japan.
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Short-Term Cumulative Exposure to Ambient Traffic-Related Black Carbon and Blood Pressure: MMDA Traffic Enforcers' Health Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182212122. [PMID: 34831878 PMCID: PMC8619089 DOI: 10.3390/ijerph182212122] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 12/19/2022]
Abstract
Exposure to traffic-related air pollution is linked with acute alterations in blood pressure (BP). We examined the cumulative short-term effect of black carbon (BC) exposure on systolic (SBP) and diastolic (DBP) BP and assessed effect modification by participant characteristics. SBP and DBP were repeatedly measured on 152 traffic enforcers. Using a linear mixed-effects model with random intercepts, quadratic (QCDL) and cubic (CCDL) constrained distributed lag models were fitted to estimate the cumulative effect of BC concentration on SBP and DBP during the 10 hours (daily exposure) and 7 days (weekly exposure) before the BP measurement. Ambient BC was related to increased BP with QCDL models. An interquartile range change in BC cumulative during the 7 days before the BP measurement was associated with increased BP (1.2% change in mean SBP, 95% confidence interval (CI), 0.1 to 2.3; and 0.5% change in mean DBP, 95% CI, −0.8 to 1.7). Moreover, the association between the 10-h cumulative BC exposure and SBP was stronger for female (4.0% change, 95% CI: 2.1–5.9) versus male and for obese (2.9% change, 95% CI: 1.0–4.8) vs. non-obese traffic enforcers. Short-term cumulative exposure to ambient traffic-related BC could bring about cardiovascular diseases through mechanisms involving increased BP.
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Integrated Mobile Laboratory for Air Pollution Assessment: Literature Review and cc-TrAIRer Design. ATMOSPHERE 2021. [DOI: 10.3390/atmos12081004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
To promote research studies on air pollution and climate change, the mobile laboratory cc-TrAIRer (Climate Change—TRailer for AIR and Environmental Research) was designed and built. It consists of a trailer which affords particles, gas, meteorological and noise measurements. Thanks to its structure and its versatility, it can easily conduct field campaigns in remote areas. The literature review presented in this paper shows the main characteristics of the existing mobile laboratories. The cc-TrAIRer was built by evaluating technical aspects, instrumentations and auxiliary systems that emerged from previous studies in the literature. Some of the studies conducted in heterogeneous topography areas, such as the Po Valley and the Alps, using instruments that were chosen to be located on the mobile laboratory are here reported. The preliminary results highlight the future applications of the trailer and the importance of high temporal resolution data acquisition for the characterization of pollution phenomena. The potential applications of the cc-TrAIRer concern different fields, such as complex terrain, emergency situations, worksite and local source impacts and temporal and spatial distributions of atmospheric compounds. The integrated use of gas and particle analysers, a weather station and environment monitoring systems in a single easily transportable vehicle will contribute to research studies on global aspects of climate change.
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11
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Peralta AA, Schwartz J, Gold DR, Coull B, Koutrakis P. Associations between PM 2.5 metal components and QT interval length in the Normative Aging Study. ENVIRONMENTAL RESEARCH 2021; 195:110827. [PMID: 33549618 PMCID: PMC7987821 DOI: 10.1016/j.envres.2021.110827] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 01/15/2021] [Accepted: 01/28/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Several studies have found associations between increases in QT interval length, a marker of cardiac electrical instability, and short-term fine particulate matter (PM2.5) exposures. To our knowledge, this is the first study to examine the association between specific PM2.5 metal components and QT interval length. METHODS We measured heart-rate corrected QT interval (QTc) duration among 630 participants in the Normative Aging Study (NAS) based in Eastern Massachusetts between 2000 and 2011. We utilized time-varying linear mixed-effects regressions with a random intercept for each participant to analyze associations between QTc interval and moving averages (0-7 day moving averages) of 24-h mean concentrations of PM2.5 metal components (vanadium, nickel, copper, zinc and lead) measured at the Harvard Supersite monitoring station. Models were adjusted for daily PM2.5 mass estimated at a 1 km × 1 km grid cell from a previously validated prediction model and other covariates. Bayesian kernel machine regression (BKMR) was utilized to assess the overall joint effect of the PM2.5 metal components. RESULTS We found consistent results with higher lead (Pb) associated with significant higher QTc intervals for both the multi-pollutant and the two pollutant (PM2.5 mass and a PM2.5 component) models across the moving averages. The greatest effect of lead on QTc interval was detected for the 4-day moving average lead exposure. In the multi-pollutant model, each 2.72 ng/m3 increase in daily lead levels for a 4-day moving average was associated with a 7.91 ms (95% CI: 3.63, 12.18) increase in QTc interval. In the two-pollutant models with PM2.5 mass and lead, each 2.72 ng/m3 increase in daily lead levels for a 4-day moving average was associated with an 8.50 ms (95% CI: 4.59, 12.41) increase in QTc interval. We found that 4-day moving average of copper has a negative association with QTc interval when compared to the other PM2.5 metal components. In the multi-pollutant model, each 1.81 ng/m3 increase in daily copper levels for a 4-day moving average was associated with an -3.89 ms (95% CI: -6.98, -0.79) increase in QTc interval. Copper's essential function inside the human body could mediate its cardiotoxicity on cardiac conductivity and explain why we found that copper in comparison to the other metals was less harmful for QTc interval. CONCLUSIONS Exposure to metals contained in PM2.5 are associated with acute changes in ventricular repolarization as indicated by QT interval characteristics.
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Affiliation(s)
- Adjani A Peralta
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Diane R Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
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Du X, Zhang Y, Liu C, Fang J, Zhao F, Chen C, Du P, Wang Q, Wang J, Shi W, van Donkelaar A, Martin RV, Bachwenkizi J, Chen R, Li T, Kan H, Shi X. Fine particulate matter constituents and sub-clinical outcomes of cardiovascular diseases: A multi-center study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 759:143555. [PMID: 33189387 DOI: 10.1016/j.scitotenv.2020.143555] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 10/20/2020] [Accepted: 10/30/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Limited evidence is available on the associations of long-term exposure to various fine particulate matter (PM2.5) constituents with sub-clinical outcomes of cardiovascular disease (CVD) in China. OBJECTIVES We aimed to explore the associations of PM2.5 and its constituents with blood pressure (BP), fasting glucose, and cardiac electrophysiological (ECG) properties based on a national survey of 5852 Chinese adults, who participated in the Sub-Clinical Outcome of Polluted Air study, from July 2017 to March 2019. METHODS Annual residential exposure to PM2.5 and its constituents of each subject was predicted by a satellite-based mode. We assessed the associations between five main constituents [organic matter (OM), black carbon (BC), sulfate (SO42-), nitrate (NO3-), ammonium (NH4+)] of PM2.5 and systolic BP (SBP), diastolic BP (DBP), fasting glucose, and ECG measurements (PR, QRS, QT, and QTc interval) using multivariable linear regression models. RESULTS Long-term PM2.5 exposure was significantly associated with increased levels of fasting glucose, DBP, and ECG measurements. An IQR increase in OM (8.2 μg/m3) showed considerably stronger associations with an elevated fasting glucose of 0.39 mmol/L (95%CI confidence interval: 0.28, 0.49) compared with other PM2.5 constituents. Meanwhile, an IQR increase in NO3-, NH4+ and OM had stronger associations with DBP and ECG parameters compared with BC and SO42-. CONCLUSIONS This nationwide multi-center study in China indicated that some constituents (i.e., OM, NO3-, and NH4+) might be mainly responsible for the association of PM2.5 with sub-clinical outcomes of CVD including BP, fasting glucose, and ECG measurements.
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Affiliation(s)
- Xihao Du
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qiong Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jiaonan Wang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, B3H 4R2 Halifax, Nova Scotia, Canada
| | - Randall V Martin
- Department of Physics and Atmospheric Science, Dalhousie University, B3H 4R2 Halifax, Nova Scotia, Canada
| | - Jovine Bachwenkizi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Cole-Hunter T, Dhingra R, Fedak KM, Good N, L'Orange C, Luckasen G, Mehaffy J, Walker E, Wilson A, Balmes J, Brook RD, Clark ML, Devlin RB, Volckens J, Peel JL. Short-term differences in cardiac function following controlled exposure to cookstove air pollution: The subclinical tests on volunteers exposed to smoke (STOVES) study. ENVIRONMENT INTERNATIONAL 2021; 146:106254. [PMID: 33221594 PMCID: PMC7775898 DOI: 10.1016/j.envint.2020.106254] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 10/09/2020] [Accepted: 10/27/2020] [Indexed: 05/24/2023]
Abstract
BACKGROUND Exposure to household air pollution from solid fuel combustion for cooking and heating is an important risk factor for premature death and disability worldwide. Current evidence supports an association of ambient air pollution with cardiovascular disease but is limited for household air pollution and for cardiac function. Controlled exposure studies can complement evidence provided by field studies. OBJECTIVES To investigate effects of short-term, controlled exposures to emissions from five cookstoves on measures of cardiac function. METHODS Forty-eight healthy adults (46% female; 20-36 years) participated in six, 2-h exposures ('treatments'), including emissions from five cookstoves and a filtered-air control. Target fine particulate matter (PM2.5) exposure-concentrations per treatment were: control, 0 µg/m3; liquefied petroleum gas, 10 µg/m3; gasifier, 35 µg/m3; fan rocket, 100 µg/m3; rocket elbow, 250 µg/m3; and three stone fire, 500 µg/m3. Participants were treated in a set (pre-randomized) sequence as groups of 4 to minimize order bias and time-varying confounders. Heart rate variability (HRV) and cardiac repolarization metrics were calculated as 5-min means immediately and at 3 h following treatment, for analysis in linear mixed-effects models comparing cookstove to control. RESULTS Short-term differences in SDNN (standard deviation of duration of all NN intervals) and VLF (very-low frequency power) existed for several cookstoves compared to control. While all cookstoves compared to control followed a similar trend for SDNN, the greatest effect was seen immediately following three stone fire (β = -0.13 ms {%}; 95% confidence interval = -0.22, -0.03%), which reversed in direction at 3 h (0.03%; -0.06, 0.13%). VLF results were similar in direction and timing to SDNN; however, other HRV or cardiac repolarization results were not similar to those for SDNN. DISCUSSION We observed some evidence of short-term, effects on HRV immediately following cookstove treatments compared to control. Our results suggest that cookstoves with lower PM2.5 emissions are potentially capable of affecting cardiac function, similar to stoves emitting higher PM2.5 emissions.
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Affiliation(s)
- Tom Cole-Hunter
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Centre for Air Pollution, Energy, and Health Research, University of New South Wales, Sydney, NSW, Australia; International Laboratory for Air Quality and Health, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, QLD, Australia; Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Radhika Dhingra
- Department of Environmental Sciences and Engineering, University of North Carolina, NC, USA; Environmental Public Health Division, United States Environmental Protection Agency, Chapel Hill, NC, USA
| | - Kristen M Fedak
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Nicholas Good
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Christian L'Orange
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | | | - John Mehaffy
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Ethan Walker
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - John Balmes
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Robert D Brook
- Division of Cardiovascular Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Robert B Devlin
- Environmental Public Health Division, United States Environmental Protection Agency, Chapel Hill, NC, USA
| | - John Volckens
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
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Regencia ZJG, Dalmacion GV, Baja ES. Effect of heavy metals on ventricular repolarization and depolarization in the Metropolitan Manila Development Authority (MMDA) traffic enforcers' health study. ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH 2020; 77:87-95. [PMID: 34027826 DOI: 10.1080/19338244.2020.1853017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
We examined the relationships between blood heavy metals [cadmium (B-Cd), mercury (B-Hg), and lead (B-Pb)] and heart rate-corrected QT interval (QTc), JT interval (JTc), and QRS complex duration (QRSc), electrocardiogram markers of ventricular repolarization and depolarization among 60 traffic enforcers in the MMDA traffic enforcers' health study. We fitted regression models to estimate the mean change effect on QTc, JTc, and QRSc, of B-Cd, B-Hg, and B-Pb concentrations, adjusted for potential confounding factors. We looked at effect modification by sex and smoking status. An interquartile range increase in B-Cd (0.9 μg/L) was related to a 6.6% increase in mean QRSc [95% confidence interval (CI): 2.5, 10.8], and a 1.7% increase in mean QTc (95% CI: 0.2, 3.3). We also found that the associations between B-Cd and QRSc and QTc were higher among participants who were never smokers than ever smokers. Moreover, the association between B-Cd and QRSc was also higher among males than females.
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Affiliation(s)
- Zypher Jude G Regencia
- Exposure Assessment, Epidemiology, and Risk Lab, Institute of Clinical Epidemiology, National Institutes of Health, University of the Philippines-Manila, City of Manila, Philippines
| | - Godofreda V Dalmacion
- Exposure Assessment, Epidemiology, and Risk Lab, Institute of Clinical Epidemiology, National Institutes of Health, University of the Philippines-Manila, City of Manila, Philippines
- Department of Clinical Epidemiology, College of Medicine, University of the Philippines-Manila, City of Manila, Philippines
- Department of Pharmacology and Toxicology, College of Medicine, University of the Philippines-Manila, City of Manila, Philippines
| | - Emmanuel S Baja
- Exposure Assessment, Epidemiology, and Risk Lab, Institute of Clinical Epidemiology, National Institutes of Health, University of the Philippines-Manila, City of Manila, Philippines
- Department of Clinical Epidemiology, College of Medicine, University of the Philippines-Manila, City of Manila, Philippines
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15
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Cao H, Li B, Peng W, Pan L, Cui Z, Zhao W, Zhang H, Tang N, Niu K, Sun J, Han X, Wang Z, Liu K, He H, Cao Y, Xu Z, Shan A, Meng G, Sun Y, Guo C, Liu X, Xie Y, Wen F, Shan G, Zhang L. Associations of long-term exposure to ambient air pollution with cardiac conduction abnormalities in Chinese adults: The CHCN-BTH cohort study. ENVIRONMENT INTERNATIONAL 2020; 143:105981. [PMID: 32738766 DOI: 10.1016/j.envint.2020.105981] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 07/06/2020] [Accepted: 07/13/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Evidence regarding the effects of long-term and high-level ambient air pollution exposure on cardiac conduction systems remains sparse. OBJECTIVES To investigate the associations of long-term exposure to air pollution and cardiac conduction abnormalities in Chinese adults and explore the susceptibility characteristics. METHODS In 2017, a total of 27,047 participants aged 18-80 years were recruited from the baseline survey of the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei (CHCN-BTH). The three year (2014-2016) average pollutant concentrations were assessed by a spatial statistical model for PM2.5 and air monitoring stations for PM10, SO2, NO2, O3 and CO. Residential proximity to a roadway was calculated by neighborhood analysis. Associations were estimated by two-level generalized linear mixed models. Stratified analyses related to demographic characteristics, health behaviors, and cardiometabolic risk factors were performed. Two-pollutant models were used to evaluate the possible role of single pollutants. RESULTS We detected significant associations of long-term air pollutant exposure with increased heart rate (HR), QRS and QTc, such that an interquartile range increase in PM2.5 was associated with 3.63% (95% CI: 3.07%, 4.19%), 1.21% (95% CI: 0.83%, 1.60%), and 0.13% (95% CI: 0.07%, 0.18%) changes in HR, QRS and QTc, respectively. Compared to the other pollutants, the estimates of PM2.5 remained the most stable across all two-pollutant models. Similarly, significant associations were observed between living closer to a major roadway and higher HR, QRS and QTc. Stratified analyses showed generally greater association estimates in older people, males, smokers, alcohol drinkers, and those with obesity, hypertension and diabetes. CONCLUSIONS Long-term exposure to ambient air pollution was associated with cardiac conduction abnormalities in Chinese adults, especially in older people, males, smokers, alcohol drinkers, and those with cardiometabolic risk factors. PM2.5 may be the most stable pollutant to reflect the associations.
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Affiliation(s)
- Han Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Bingxiao Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Wenjuan Peng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, and School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Ze Cui
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, Hebei, China
| | - Wei Zhao
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Han Zhang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, China
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jixin Sun
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, Hebei, China
| | - Xiaoyan Han
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Zhengfang Wang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, China
| | - Kuo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, and School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Yajing Cao
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, Hebei, China
| | - Zhiyuan Xu
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Anqi Shan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yanyan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Chunyue Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiaohui Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yunyi Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Fuyuan Wen
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, and School of Basic Medicine, Peking Union Medical College, Beijing, China.
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
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Miller MR. Oxidative stress and the cardiovascular effects of air pollution. Free Radic Biol Med 2020; 151:69-87. [PMID: 31923583 PMCID: PMC7322534 DOI: 10.1016/j.freeradbiomed.2020.01.004] [Citation(s) in RCA: 105] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 12/31/2019] [Accepted: 01/03/2020] [Indexed: 12/11/2022]
Abstract
Cardiovascular causes have been estimated to be responsible for more than two thirds of the considerable mortality attributed to air pollution. There is now a substantial body of research demonstrating that exposure to air pollution has many detrimental effects throughout the cardiovascular system. Multiple biological mechanisms are responsible, however, oxidative stress is a prominent observation at many levels of the cardiovascular impairment induced by pollutant exposure. This review provides an overview of the evidence that oxidative stress is a key pathway for the different cardiovascular actions of air pollution.
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Affiliation(s)
- Mark R Miller
- University/BHF Centre for Cardiovascular Science, University of Edinburgh, 47 Little France Crescent, Edinburgh, EH4 3RL, United Kingdom.
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17
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Fuertes E, van der Plaat DA, Minelli C. Antioxidant genes and susceptibility to air pollution for respiratory and cardiovascular health. Free Radic Biol Med 2020; 151:88-98. [PMID: 32007521 DOI: 10.1016/j.freeradbiomed.2020.01.181] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 01/23/2020] [Accepted: 01/24/2020] [Indexed: 12/25/2022]
Abstract
Oxidative stress occurs when antioxidant defences, which are regulated by a complex network of genes, are insufficient to maintain the level of reactive oxygen species below a toxic threshold. Outdoor air pollution has long been known to adversely affect health and one prominent mechanism of action common to all pollutants is the induction of oxidative stress. An individual's susceptibility to the effects of air pollution partly depends on variation in their antioxidant genes. Thus, understanding antioxidant gene-pollution interactions has significant potential clinical and public health impacts, including the development of targeted and cost-effective preventive measures, such as setting appropriate standards which protect all members of the population. In this review, we aimed to summarize the latest epidemiological evidence on interactions between antioxidant genes and outdoor air pollution, in the context of respiratory and cardiovascular health. The evidence supporting the existence of interactions between antioxidant genes and outdoor air pollution is strongest for childhood asthma and wheeze, especially for interactions with GSTT1, GSTM1 and GSTP1, for lung function in both children and adults for several antioxidant genes (GSTT1, GSTM1, GSTP1, HMOX1, NQO1, and SOD2) and, to a more limited extent, for heart rate variability in adults for GSTM1 and HMOX1. Methodological challenges hampering a clear interpretation of these findings and understanding of true potential heterogeneity are discussed.
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Affiliation(s)
- Elaine Fuertes
- National Heart and Lung Institute, Imperial College London, London, United Kingdom.
| | | | - Cosetta Minelli
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
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18
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Herman DA, Wingen LM, Johnson RM, Keebaugh AJ, Renusch SR, Hasen I, Ting A, Kleinman MT. Seasonal effects of ambient PM 2.5 on the cardiovascular system of hyperlipidemic mice. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (1995) 2020; 70:307-323. [PMID: 31951803 DOI: 10.1080/10962247.2020.1717674] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 11/15/2019] [Accepted: 11/19/2019] [Indexed: 06/10/2023]
Abstract
People in polluted communities are often exposed to both PM and ozone (O3), albeit not always simultaneously; an important question is whether exposure to particles with seasonal compositional differences can influence biological outcomes. We addressed this question using a mouse model of cardiovascular disease by contrasting the health outcomes of exposures to particles formed or aged during periods of relatively high photochemical activity (i.e. spring/summer), which has increased ambient O3 concentrations, with outcomes of exposures to fall/winter particles which are associated with lower O3 concentrations. Electrocardiographs (ECGs) and blood pressures (BPs) were acquired following exposures to concentrated ambient particles (CAPs). ECGs were analyzed to changes in specific waveform parameters and changes in heart rate variability (HRV). Exposures elicited several types of waveform abnormalities that were associated with seasonal differences in particle constituents. Alterations in R-R interval and P-R interval were seen following exposure to summer CAPs but not fall CAPs and differential responses were seen in the corrected Q-T interval following the two seasonal exposures. Measures of HRV increased after exposure to summer CAPs compared to air-exposed controls but not following the winter CAPs exposure. There were chemical differences with respect to the organic constituents in ambient particles between summer and fall aerosol. The oxygen to carbon ratios (O:C) were generally higher in the spring and summer than in the fall, consistent with seasonal differences in atmospheric photochemical activity. Seasonal differences in atmospheric photochemical activity can modify ambient aerosol composition and can alter biological responses in the cardiovascular system. The results from this study confirm that ambient photochemical activity can alter the toxicity of ambient PM. Regional and seasonal differences in PM2.5 composition should be important considerations when evaluating the effects of PM exposure on cardiovascular health.Implications: Particles formed during periods of high photochemical activity (e.g. spring/summer) elicit more adverse cardiovascular health effects than particles formed during periods of low photochemical activity (e.g. fall/winter). Seasonal differences in atmospheric photochemical activity modified ambient aerosol composition and worsened cardiovascular responses. These results can inform regulatory agencies and may help design air quality regulations for PM2.5 that consider seasonal and regional variations.
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Affiliation(s)
- David A Herman
- Division of Occupational and Environmental Medicine, University of California Irvine, Irvine, CA, USA
| | - Lisa M Wingen
- Department of Chemistry, University of California Irvine, Irvine, CA, USA
| | - Rebecca M Johnson
- Division of Occupational and Environmental Medicine, University of California Irvine, Irvine, CA, USA
| | - Andrew J Keebaugh
- Division of Occupational and Environmental Medicine, University of California Irvine, Irvine, CA, USA
| | - Samantha R Renusch
- Division of Occupational and Environmental Medicine, University of California Irvine, Irvine, CA, USA
| | - Irene Hasen
- Division of Occupational and Environmental Medicine, University of California Irvine, Irvine, CA, USA
| | - Amanda Ting
- Division of Occupational and Environmental Medicine, University of California Irvine, Irvine, CA, USA
| | - Michael T Kleinman
- Division of Occupational and Environmental Medicine, University of California Irvine, Irvine, CA, USA
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Requia WJ, Coull BA, Koutrakis P. The influence of spatial patterning on modeling PM 2.5 constituents in Eastern Massachusetts. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 682:247-258. [PMID: 31121351 DOI: 10.1016/j.scitotenv.2019.05.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 04/26/2019] [Accepted: 05/01/2019] [Indexed: 06/09/2023]
Abstract
Geostatistical exposure methods for air pollution have inherent uncertainties, resulting in varying levels of exposure misclassification. In this study, we propose that areas representing clusters of PM2.5 elements are potential predictor variables to be included in spatial models for particle composition. The inclusion of these clusters may minimize the exposure misclassification. We evaluated the influence of spatial patterning on modeling of 10 components of ambient PM2.5, which included Al, Cu, Fe, K, Ni, Pb, S, Ti, V, and Zn. This study was performed in three stages. First, we applied a hybrid approach (combination of Empirical Bayesian Kriging and land use regression) to estimate spatial variability for each one of the 10 components of ambient PM2.5. In this stage, we accounted for numerous predictors representing land use, transportation, demographic, and geographical characteristics. In the second stage, we applied the same hybrid approach adding clusters of each PM2.5 component to the set of predictor variables. The clusters here were estimated by a multivariate clustering approach based on k means. Finally, in the last stage, we compared the estimates obtained from the model without clusters (first stage) and the model with clusters (second stage). Overall, our findings suggest significant influence of spatial clusters on modeling some PM2.5 components. We observed that the clusters may affect the error of the prediction values and especially the proportion of explained variance for most of the PM2.5 constituents evaluated in this study. The model with cluster presented a better performance for all PM2.5 components, except for Pb, which the R2 value decreased 8.51% when we included the clusters in the analysis; and for V, which the R2 value did not change with the clusters. Models for Cu and Fe explained the highest concentration variance. The R2 value for the model without cluster was 0.55 for both pollutants. When we accounted for clusters, R2 value increased 13 and 7% for Cu (R2 = 0.62) and Fe (R2 = 0.59), respectively. The models for K and S presented the lowest performance for both models with and without cluster (although the model with cluster improved substantially the R2 values). Better knowledge of the influence of spatial patterns on air pollution modeling should be of interest to policy makers to devise future strategies to improve human exposure assessment to air particulates while controlling for spatial patterns of ambient PM2.5 elemental concentration.
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Affiliation(s)
- Weeberb J Requia
- Harvard University, Department of Environmental Health, School of Public Health, Boston, MA, United States.
| | - Brent A Coull
- Harvard University, Department of Biostatistics, School of Public Health, Boston, MA, United States
| | - Petros Koutrakis
- Harvard University, Department of Environmental Health, School of Public Health, Boston, MA, United States
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20
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Requia WJ, Coull BA, Koutrakis P. Multivariate spatial patterns of ambient PM 2.5 elemental concentrations in Eastern Massachusetts. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 252:1942-1952. [PMID: 31227351 DOI: 10.1016/j.envpol.2019.05.127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 05/20/2019] [Accepted: 05/24/2019] [Indexed: 06/09/2023]
Abstract
Understanding the factors that affect spatial differences in PM2.5 composition is crucial for implementing emissions control and health policies. Although previous studies have explored modeling of spatial patterns as a tool to improve human exposure assessment, little work has employed a multivariate clustering approach to identify spatial patterns in particle composition. In this study, we used this approach to assess the spatial patterns of ambient PM2.5 elemental concentrations in Eastern Massachusetts in the United States. To distinguish one cluster of sites from another, we considered air pollution sources and geodemographic variables. We evaluated spatial patterns for 11 elemental components of ambient PM2.5, which included S, K, Ca, Fe, Zn, Cu, Ti, Al, Pb, V, and Ni. The analyses for S, Ca, Cu, Ti, Al, and Pb resulted in: 2 clusters for Fe, Zn, V, and Ni; 3 clusters; and for 12 clusters for K. Overall, our findings suggest substantial variation of clusters among PM2.5 components. In addition, land use, population density, and daily traffic were used as variables to more effectively characterize clusters of sites. We used R2 values to estimate the effectiveness of each variable in characterizing clusters. Larger R2 values indicate better the discrimination among the sites. For example, population density had the highest R2 value when the analysis was performed for S, Ca, Zn, Ti, Al, Pb, and V; land use presented the highest R2 value for Cu, V, and Ni; and, traffic showed the highest R2 value for PM2.5 mass concentration. This study improves the ability to model both the between- and within-area variability of source emissions and pollution regime, using concentrations of PM2.5 components.
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Affiliation(s)
- Weeberb J Requia
- Harvard University, Department of Environmental Health, School of Public Health, 401 Park Drive, Landmark Center 4th Floor West, Boston, MA, United States.
| | - Brent A Coull
- Harvard University, Department of Biostatistics, School of Public Health, 655 Huntington Avenue, Building II, Boston, MA, United States.
| | - Petros Koutrakis
- Harvard University, Department of Environmental Health, School of Public Health, 401 Park Drive, Landmark Center 4th Floor West, Boston, MA, United States.
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21
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Requia WJ, Coull BA, Koutrakis P. Evaluation of predictive capabilities of ordinary geostatistical interpolation, hybrid interpolation, and machine learning methods for estimating PM 2.5 constituents over space. ENVIRONMENTAL RESEARCH 2019; 175:421-433. [PMID: 31154232 DOI: 10.1016/j.envres.2019.05.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 04/24/2019] [Accepted: 05/16/2019] [Indexed: 06/09/2023]
Abstract
Numerous modeling approaches to estimate concentrations of PM2.5 components have been developed to derive better exposures for health studies, including geostatistical interpolation approaches, land use regression models and, models based on remote sensing technology. Recently, there have been some efforts to develop models based on machine learning algorithms. Each one of these exposure assessment methods has inherent uncertainties resulting in varying levels of exposure misclassification. To date, only a few studies have attempted to systematically compare exposure estimates from different PM2.5 constituent models. Our research addresses this gap, by comparing the predictive capabilities of ordinary geostatistical interpolation (Ordinary Kriging - OK), hybrid interpolation (combination of Empirical Bayesian Kriging and land use regression), and machine learning techniques (forest-based regression) for estimating PM2.5 constituents in Eastern Massachusetts in the United States. We compared the estimates of 10 ambient PM2.5 components, which included Al, Cu, Fe, K, Ni, Pb, S, Ti, V, and Zn. The OK model performed poorest for all PM2.5 components, with an R2 under 0.30. The hybrid model presented a slight improvement, especially for Cu and Fe, for which the R2 value increased to 0.62 and 0.59, respectively. These elements presented the highest R2 value from the hybrid model. The forest model presented the best performance, with R2 values higher than 0.7 for most of the particle components, including Cu, Fe, Ni, Pb, Ti, and V. Same as observed with the hybrid model, the forest model for Cu and Fe explained the highest concentration variance, with a R2 value equal to 0.88 and 0.92, respectively. The forest model for K, S, and Zn performed poorest with an R2 value of 0.54, 0.37, and 0.44, respectively. The results presented here can be useful for the environmental health community to more accurately estimate PM2.5 constituents over space.
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Affiliation(s)
- Weeberb J Requia
- Harvard University, Department of Environmental Health, School of Public Health, Boston, MA, United States.
| | - Brent A Coull
- Harvard University, Department of Biostatistics, School of Public Health, Boston, MA, United States
| | - Petros Koutrakis
- Harvard University, Department of Environmental Health, School of Public Health, Boston, MA, United States
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22
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Kirrane EF, Luben TJ, Benson A, Owens EO, Sacks JD, Dutton SJ, Madden M, Nichols JL. A systematic review of cardiovascular responses associated with ambient black carbon and fine particulate matter. ENVIRONMENT INTERNATIONAL 2019; 127:305-316. [PMID: 30953813 PMCID: PMC8517909 DOI: 10.1016/j.envint.2019.02.027] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 02/07/2019] [Accepted: 02/10/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND Exposure to fine particulate matter (PM2.5), an ambient air pollutant with mass-based standards promulgated under the Clean Air Act, and black carbon (BC), a common component of PM2.5, are both associated with cardiovascular health effects. OBJECTIVES To elucidate whether BC is associated with distinct, or stronger, cardiovascular responses compared to PM2.5, we conducted a systematic review. We evaluated the associations of short- and long-term BC, or the related component elemental carbon (EC), with cardiovascular endpoints including heart rate variability, heart rhythm, blood pressure and vascular function, ST segment depression, repolarization abnormalities, atherosclerosis and heart function, in the context of what is already known about PM2.5. DATA SOURCES We conducted a stepwise systematic literature search of the PubMed, Web of Science and TOXLINE databases and applied Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines for reporting our results. STUDY ELIGIBILITY CRITERIA Studies reporting effect estimates for the association of quantitative measurements of ambient BC (or EC) and PM2.5, with relevant cardiovascular endpoints (i.e. meeting inclusion criteria) were included in the review. Included studies were evaluated for risk of bias in study design and results. STUDY APPRAISAL AND SYNTHESIS METHODS Risk of bias evaluations assessed aspects of internal validity of study findings based on study design, conduct, and reporting to identify potential issues related to confounding or other biases. Study results are presented to facilitate comparison of the consistency of associations with PM2.5 and BC within and across studies. RESULTS Our results demonstrate similar associations for BC (or EC) and PM2.5 with the cardiovascular endpoints examined. Across studies, associations for BC and PM2.5 varied in their magnitude and precision, and confidence intervals were generally overlapping within studies. Where differences in the magnitude of the association between BC or EC and PM2.5 within a study could be discerned, no consistent pattern across the studies examined was apparent. LIMITATIONS We were unable to assess the independence of the effect of BC, relative the effect of PM2.5, on the cardiovascular system, nor was information available to understand the impact of differential exposure misclassification. CONCLUSIONS Overall, the evidence indicates that both BC (or EC) and PM2.5 are associated with cardiovascular effects but the available evidence is not sufficient to distinguish the effect of BC (or EC) from that of PM2.5 mass.
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Affiliation(s)
- E F Kirrane
- National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
| | - T J Luben
- National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - A Benson
- Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA
| | - E O Owens
- National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA; National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati, OH, USA
| | - J D Sacks
- National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - S J Dutton
- National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - M Madden
- Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA; Economics Department, Duke University, Durham, NC, USA
| | - J L Nichols
- National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
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23
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Ward-Caviness CK. A review of gene-by-air pollution interactions for cardiovascular disease, risk factors, and biomarkers. Hum Genet 2019; 138:547-561. [DOI: 10.1007/s00439-019-02004-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 03/22/2019] [Indexed: 02/07/2023]
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24
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Xu H, Chen J, Zhao Q, Zhang Y, Wang T, Feng B, Wang Y, Liu S, Yi T, Liu S, Wu R, Zhang Q, Fang J, Song X, Rajagopalan S, Li J, Brook RD, Huang W. Ambient air pollution is associated with cardiac repolarization abnormalities in healthy adults. ENVIRONMENTAL RESEARCH 2019; 171:239-246. [PMID: 30690270 DOI: 10.1016/j.envres.2019.01.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 01/08/2019] [Accepted: 01/10/2019] [Indexed: 05/24/2023]
Abstract
BACKGROUND Ambient air pollution has been associated with acute cardiovascular events; however, the underlying mechanisms remain incompletely understood. We aimed to examine the impacts of ambient air pollutants on cardiac ventricular repolarization in a highly polluted urban region. METHODS Seventy-three healthy non-smoking young adults (66% female, mean age of 23.3 ± 5.4 years) were followed with four repeated 24-h electrocardiogram recordings in 2014-2016 in Beijing, China. Continuous concentrations of ambient particulates in size fractions of 5-560 nm diameter, black carbon (BC), nitrogen dioxide (NO2), carbon monoxide (CO), sulfur dioxide (SO2), and ozone (O3) were measured at a fixed-location air pollution monitoring station. Generalized linear mixed models, with adjustment for individual risk factors, time-varying factors and meteorological parameters, were used to evaluate the effects of air pollution on 5-min segments of heart rate-corrected QT interval (QTc), an index of cardiac ventricular repolarization. RESULTS During the study period, the mean levels of number concentrations of particulates in size range of 5-560 nm (PNC5-560) were 20,711 particles/cm3. Significant increases in QTc of 0.56% (95% CI: 0.27, 0.84) to 1.76% (95% CI: 0.73, 2.79) were associated with interquartile range increases in PNC50-560 at prior 1-5 moving average days. Significant increases in QTc were also associated with increases in exposures to traffic-related air pollutants (BC, NO2 and CO), a combustion pollutant SO2, and the secondary pollutant O3. The associations were stronger in participants who were male, overweight, with abdominal obesity, and with higher levels of high-sensitivity C-reactive protein. CONCLUSIONS Our findings suggest that exposures to higher levels of ambient particulates in small size fractions and traffic pollutants were associated with cardiac repolarization abnormalities in healthy adults, and the cardio-metabolic risks may modify the adverse cardiac effects attributable to air pollution.
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Affiliation(s)
- Hongbing Xu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Jie Chen
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Qian Zhao
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Yi Zhang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Tong Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Baihuan Feng
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Yang Wang
- Department of Prevention and Health Care, Hospital of Health Science Center, Peking University, Beijing 100191, China
| | - Shengcong Liu
- Division of Cardiology, Peking University First Hospital, Beijing 100034, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Tieci Yi
- Division of Cardiology, Peking University First Hospital, Beijing 100034, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Shuo Liu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Rongshan Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Qiaochi Zhang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Jiakun Fang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Sanjay Rajagopalan
- Division of Cardiovascular Medicine, Case Western Reserve University, OH 10900, USA
| | - Jianping Li
- Division of Cardiology, Peking University First Hospital, Beijing 100034, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China
| | - Robert D Brook
- Division of Cardiovascular Medicine, University of Michigan, MI 48109, USA
| | - Wei Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Health Science Center, Peking University Medicine, Beijing 100191, China.
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25
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Xu Y, Wang W, Zhou J, Chen M, Huang X, Zhu Y, Xie X, Li W, Zhang Y, Kan H, Ying Z. Metabolomics analysis of a mouse model for chronic exposure to ambient PM 2.5. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 247:953-963. [PMID: 30823350 PMCID: PMC6536002 DOI: 10.1016/j.envpol.2019.01.118] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 01/29/2019] [Accepted: 01/29/2019] [Indexed: 05/04/2023]
Abstract
Chronic ambient fine particulate matter (PM2.5) exposure correlates with various adverse health outcomes. Its impact on the circulating metabolome-a comprehensive functional readout of the interaction between an organism's genome and environment-has not however been fully understood. This study thus performed metabolomics analyses using a chronic PM2.5 exposure mouse model. C57Bl/6J mice (female) were subjected to inhalational concentrated ambient PM2.5 (CAP) or filtered air (FA) exposure for 10 months. Their sera were then analyzed by liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS). These analyses identified 2570 metabolites in total, and 148 of them were significantly different between FA- and CAP-exposed mice. The orthogonal partial least-squares discriminant analysis (OPLS-DA) and heatmap analyses displayed evident clustering of FA- and CAP-exposed samples. Pathway analyses identified 6 perturbed metabolic pathways related to amino acid metabolism. In contrast, biological characterization revealed that 71 differential metabolites were related to lipid metabolism. Furthermore, our results showed that CAP exposure increased stress hormone metabolites, 18-oxocortisol and 5a-tetrahydrocortisol, and altered the levels of circadian rhythm biomarkers including melatonin, retinal and 5-methoxytryptophol.
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Affiliation(s)
- Yanyi Xu
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, 200032, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
| | - Wanjun Wang
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, 200032, China.
| | - Ji Zhou
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
| | - Minjie Chen
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
| | - Xingke Huang
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, 200032, China.
| | - Yaning Zhu
- Department of Pathology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, China.
| | - Xiaoyun Xie
- Department of Interventional & Vascular Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Weihua Li
- Reproductive and Developmental Research Institute of Fudan University, Shanghai, 200032, China.
| | - Yuhao Zhang
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, 200032, China.
| | - Zhekang Ying
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
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26
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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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27
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Huang S, Lawrence J, Kang CM, Li J, Martins M, Vokonas P, Gold DR, Schwartz J, Coull BA, Koutrakis P. Road proximity influences indoor exposures to ambient fine particle mass and components. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 243:978-987. [PMID: 30248605 DOI: 10.1016/j.envpol.2018.09.046] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 09/05/2018] [Accepted: 09/07/2018] [Indexed: 05/09/2023]
Abstract
Exposure to traffic-related PM2.5 mass and its components can affect human health. Meanwhile, indoor concentrations are better exposure predictors as compared to outdoor concentrations because individuals spend the majority of their time indoors. We estimated the impact of traffic emissions on indoor PM2.5 mass and its species as a function of road proximity in Massachusetts. A linear regression model was built using 662 indoor samples and 580 ambient samples. Analysis shows that indoor exposures to traffic-related particles increased dramatically with road proximity. We defined relative concentration decrease, R(α), as the ratio of the indoor concentration at perpendicular distance α in meters from the closest major road to the indoor concentration at 1800 m from the major road. R(13) values for PM2.5 mass and Black Carbon (BC) were 1.3 (95%CI: 1.4, 1.6) and 2.1 (95%CI: 1.3, 2.8) for A12 roads, and 1.3 (95%CI: 1.2, 1.4) and 1.2 (95%CI: 1.1, 1.3) for A3 roads. R(α) values were also estimated for Fe, Mn, Mo, Sr and Ti for A12 roads, and Ca, Cu, Fe, Mn, Mo, Ni, Si, Sr, V and Zn for A3 roads. R(α) values for species associated mainly with brakes, tires or road dust (e.g., Mn, Mo and Sr) were higher than others. For A12 roads, R(13) values for Mn and Mo were 10.9 (95%CI: 0.9, 20.9) and 6.5 (95%CI: 1.4, 11.5), and ranged from 1.3 to 2.1 for other species; for A3 roads, R(13) values for Mn, Mo and Sr were 1.9 (95%CI: 1.1, 2.9), 1.8 (95%CI: 1.1, 2.4), and 8.5 (95%CI: 5.9, 10.9), and ranged from 1.2 to 1.6 for others. Our results indicate a significant impact of local traffic emissions on indoor air, which depends on road proximity. Thus road proximity which has been used in many epidemiological studies is a reasonable exposure metric.
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Affiliation(s)
- Shaodan Huang
- Department of Environmental Health, Harvard T.H. Chan School of Public Healtlh, Boston 02115, USA
| | - Joy Lawrence
- Department of Environmental Health, Harvard T.H. Chan School of Public Healtlh, Boston 02115, USA
| | - Choong-Min Kang
- Department of Environmental Health, Harvard T.H. Chan School of Public Healtlh, Boston 02115, USA
| | - Jing Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Healtlh, Boston 02115, USA
| | - Marco Martins
- Department of Environmental Health, Harvard T.H. Chan School of Public Healtlh, Boston 02115, USA
| | - Pantel Vokonas
- VA Normative Aging Study, VA Boston Healthcare System, Boston 02130, USA; Boston University School of Medicine, Boston, 02118, USA
| | - Diane R Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Healtlh, Boston 02115, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Healtlh, Boston 02115, USA
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Healtlh, Boston 02115, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, 02115, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Healtlh, Boston 02115, USA.
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28
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Kim KJ, Shin J, Choi J. Cancer Risk from Exposure to Particulate Matter and Ozone According to Obesity and Health-Related Behaviors: A Nationwide Population-Based Cross-Sectional Study. Cancer Epidemiol Biomarkers Prev 2018; 28:357-362. [PMID: 30420440 DOI: 10.1158/1055-9965.epi-18-0508] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 08/10/2018] [Accepted: 11/02/2018] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND There is little evidence of an association between cancer risk and long-term exposure to ambient particulate matter <10 μm (PM10) and ozone (O3), according to obesity and health-related behaviors. METHODS In the 2012 Korean Community Health Survey, survey data on socioeconomic characteristics, health-related behaviors, and previous cancer history were collected from 100,867 participants. Daily average concentrations of PM10 and O3 (2003-2012) were obtained from the Korean Air Pollutants Emission Service. The cancer risks for interquartile increases in PM10 and O3 were evaluated using multiple logistic regression and were stratified by age, sex, obesity, and health-related behaviors. RESULTS Increased cancer risk was found among obese subjects aged ≥50 years after adjusting for confounding factors [PM10: ≥60 years: OR 1.34, 95% confidence interval (CI) 1.03-1.74; 50-60 years: OR 1.40, CI 1.01-1.96; O3: ≥60 years: OR 1.12, CI 1.04-1.20; 50-60 years: OR 1.20, CI 1.08-1.33]. However, we did not observe similar trends in the nonobese subjects. Among obese subjects aged ≥50 who had been exposed to PM10, men, ever smokers, and inactive subjects were at increased cancer risk. Regarding O3, the cancer risk was significantly higher among obese adults >50 years old, regardless of sex or health-related behaviors. CONCLUSIONS Long-term exposure to PM10 and O3 was found to increase cancer risk. In particular, the risk differed according to obesity status, age, sex, and health-related behaviors. IMPACT The effect of air pollution on cancer risk was compounded by obesity, smoking, and physical inactivity among subjects over 50 years old.
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Affiliation(s)
- Kyoung Jin Kim
- Department of Family Medicine, Konkuk University School of Medicine, Konkuk University Medical Center, Seoul, South Korea
| | - Jinyoung Shin
- Department of Family Medicine, Konkuk University School of Medicine, Konkuk University Medical Center, Seoul, South Korea.
| | - Jaekyung Choi
- Department of Family Medicine, Konkuk University School of Medicine, Konkuk University Medical Center, Seoul, South Korea
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29
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Liang D, Moutinho JL, Golan R, Yu T, Ladva CN, Niedzwiecki M, Walker DI, Sarnat SE, Chang HH, Greenwald R, Jones DP, Russell AG, Sarnat JA. Use of high-resolution metabolomics for the identification of metabolic signals associated with traffic-related air pollution. ENVIRONMENT INTERNATIONAL 2018; 120:145-154. [PMID: 30092452 PMCID: PMC6414207 DOI: 10.1016/j.envint.2018.07.044] [Citation(s) in RCA: 108] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 07/27/2018] [Accepted: 07/27/2018] [Indexed: 05/03/2023]
Abstract
BACKGROUND High-resolution metabolomics (HRM) is emerging as a sensitive tool for measuring environmental exposures and biological responses. The aim of this analysis is to assess the ability of high-resolution metabolomics (HRM) to reflect internal exposures to complex traffic-related air pollution mixtures. METHODS We used untargeted HRM profiling to characterize plasma and saliva collected from participants in the Dorm Room Inhalation to Vehicle Emission (DRIVE) study to identify metabolic pathways associated with traffic emission exposures. We measured a suite of traffic-related pollutants at multiple ambient and indoor sites at varying distances from a major highway artery for 12 weeks in 2014. In parallel, 54 students living in dormitories near (20 m) or far (1.4 km) from the highway contributed plasma and saliva samples. Untargeted HRM profiling was completed for both plasma and saliva samples; metabolite and metabolic pathway alternations were evaluated using a metabolome-wide association study (MWAS) framework with pathway analyses. RESULTS Weekly levels of traffic pollutants were significantly higher at the near dorm when compared to the far dorm (p < 0.05 for all pollutants). In total, 20,766 metabolic features were extracted from plasma samples and 29,013 from saliva samples. 45% of features were detected and shared in both plasma and saliva samples. 1291 unique metabolic features were significantly associated with at least one or more traffic indicator, including black carbon, carbon monoxide, nitrogen oxides and fine particulate matter (p < 0.05 for all significant features), after controlling for confounding and false discovery rate. Pathway analysis of metabolic features associated with traffic exposure indicated elicitation of inflammatory and oxidative stress related pathways, including leukotriene and vitamin E metabolism. We confirmed the chemical identities of 10 metabolites associated with traffic pollutants, including arginine, histidine, γ‑linolenic acid, and hypoxanthine. CONCLUSIONS Using HRM, we identified and verified biological perturbations associated with primary traffic pollutant in panel-based setting with repeated measurement. Observed response was consistent with endogenous metabolic signaling related to oxidative stress, inflammation, and nucleic acid damage and repair. Collectively, the current findings provide support for the use of untargeted HRM in the development of metabolic biomarkers of traffic pollution exposure and response.
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Affiliation(s)
- Donghai Liang
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA.
| | - Jennifer L Moutinho
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, USA
| | - Rachel Golan
- Department of Public Health, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Tianwei Yu
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Chandresh N Ladva
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Megan Niedzwiecki
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Douglas I Walker
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Stefanie Ebelt Sarnat
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Roby Greenwald
- Division of Environmental Health, Georgia State University School of Public Health, Atlanta, USA
| | - Dean P Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, USA
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, USA
| | - Jeremy A Sarnat
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA
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Zhang S, Breitner S, Cascio WE, Devlin RB, Neas LM, Diaz-Sanchez D, Kraus WE, Schwartz J, Hauser ER, Peters A, Schneider A. Short-term effects of fine particulate matter and ozone on the cardiac conduction system in patients undergoing cardiac catheterization. Part Fibre Toxicol 2018; 15:38. [PMID: 30305173 PMCID: PMC6180522 DOI: 10.1186/s12989-018-0275-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 09/28/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Air pollution-induced changes in cardiac electrophysiological properties could be a pathway linking air pollution and cardiovascular events. The evidence of air pollution effects on the cardiac conduction system is incomplete yet. We investigated short-term effects of particulate matter ≤ 2.5 μm in aerodynamic diameter (PM2.5) and ozone (O3) on cardiac electrical impulse propagation and repolarization as recorded in surface electrocardiograms (ECG). METHODS We analyzed repeated 12-lead ECG measurements performed on 5,332 patients between 2001 and 2012. The participants came from the Duke CATHGEN Study who underwent cardiac catheterization and resided in North Carolina, United States (NC, U.S.). Daily concentrations of PM2.5 and O3 at each participant's home address were predicted with a hybrid air quality exposure model. We used generalized additive mixed models to investigate the associations of PM2.5 and O3 with the PR interval, QRS interval, heart rate-corrected QT interval (QTc), and heart rate (HR). The temporal lag structures of the associations were examined using distributed-lag models. RESULTS Elevated PM2.5 and O3 were associated with four-day lagged lengthening of the PR and QRS intervals, and with one-day lagged increases in HR. We observed immediate effects on the lengthening of the QTc interval for both PM2.5 and O3, as well as delayed effects for PM2.5 (lagged by 3 - 4 days). The associations of PM2.5 and O3 with the PR interval and the association of O3 with the QRS interval persisted until up to seven days after exposure. CONCLUSIONS In patients undergoing cardiac catheterization, short-term exposure to air pollution was associated with increased HR and delays in atrioventricular conduction, ventricular depolarization and repolarization.
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Affiliation(s)
- Siqi Zhang
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, P.O. Box 11 29, D-85764, Neuherberg, Germany.
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, P.O. Box 11 29, D-85764, Neuherberg, Germany
| | - Wayne E Cascio
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, Durham, NC, USA
| | - Robert B Devlin
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, Durham, NC, USA
| | - Lucas M Neas
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, Durham, NC, USA
| | - David Diaz-Sanchez
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, Durham, NC, USA
| | - William E Kraus
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Elizabeth R Hauser
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, P.O. Box 11 29, D-85764, Neuherberg, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, P.O. Box 11 29, D-85764, Neuherberg, Germany
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31
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Yang BY, Qian ZM, Vaughn MG, Howard SW, Pemberton JP, Ma H, Chen DH, Hu LW, Zeng XW, Zhang C, Tian YP, Nian M, Xiao X, Dong GH. Overweight modifies the association between long-term ambient air pollution and prehypertension in Chinese adults: the 33 Communities Chinese Health Study. Environ Health 2018; 17:57. [PMID: 29954383 PMCID: PMC6022431 DOI: 10.1186/s12940-018-0401-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Accepted: 06/15/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Research regarding the interaction of ambient air pollution and overweight on prehypertension is scarce. We aimed to test whether overweight modifies the association between long-term exposure to ambient air pollution and prehypertension in Chinese adults. METHODS A total of 16,188 Chinese adults, aged 18-74 years old, from 33 communities in 3 Northeastern Chinese cities were evaluated. Three-year average levels of particles with an aerodynamic diameter ≤ 10 μm (PM10), sulfur dioxides (SO2), nitrogen dioxides (NO2), and ozone (O3) were calculated at monitoring stations. Generalized additive models and 2-level regression analyses were applied. RESULTS We observed significant interactions between air pollutants and overweight on prehypertension and blood pressure. The associations of PM10, SO2, NO2, and O3 with prehypertension were significant among overweight participants (Prevalence Rate Ratios (PRRs) per interquartile range (IQR) of air pollutants: 1.14-1.20), but not among normal weight participants (PRRs: 0.98-1.04). PM10, SO2, and O3 were significantly associated with systolic blood pressure (SBP), and the magnitudes of these associations were higher among overweight adults (increases in SBP per IQR of air pollutants: 1.82-4.53 mmHg) than those among normal weight adults (increases in SBP: 0.42-0.61 mmHg). For diastolic blood pressure (DBP), significant associations were mainly observed in overweight participants (increases in DBP: 0.80-1.63 mmHg). Further stratified analyses showed that all these interactions were stronger in women, the older, and participants living in areas with lower income levels or higher population density. CONCLUSIONS Being overweight may enhance the effects of ambient air pollution on prehypertension and blood pressure in Chinese adults.
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Affiliation(s)
- Bo-Yi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment; Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment; Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 People’s Republic of 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
| | - Steven W. Howard
- Department of Health Management & Policy, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104 USA
| | - John Phillip Pemberton
- Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, Saint Louis, 63104 USA
| | - Huimin Ma
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640 China
| | - Duo-Hong Chen
- 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; Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment; Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 People’s Republic of China
| | - Xiao-Wen Zeng
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment; Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment; Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 People’s Republic of China
| | - Chuan Zhang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment; Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment; Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 People’s Republic of China
| | - Yan-Peng Tian
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment; Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment; Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 People’s Republic of China
| | - Min Nian
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment; Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment; Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 People’s Republic of China
| | - Xiang Xiao
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment; Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment; Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 People’s Republic of China
| | - Guang-Hui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment; Guangdong Provincial Engineering Technology Research Center of Environmental and Health risk Assessment; Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 People’s Republic of China
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Grady ST, Koutrakis P, Hart JE, Coull BA, Schwartz J, Laden F, Zhang JJ, Gong J, Moy ML, Garshick E. Indoor black carbon of outdoor origin and oxidative stress biomarkers in patients with chronic obstructive pulmonary disease. ENVIRONMENT INTERNATIONAL 2018; 115:188-195. [PMID: 29574339 PMCID: PMC5970068 DOI: 10.1016/j.envint.2018.02.040] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 02/22/2018] [Accepted: 02/23/2018] [Indexed: 05/21/2023]
Abstract
OBJECTIVES We assessed relationships between indoor black carbon (BC) exposure and urinary oxidative stress biomarkers, 8-hydroxy-2'-deoxyguanosine (8-OHdG) and malondialdehyde (MDA), in participants with chronic obstructive pulmonary disease (COPD). METHODS Eighty-two participants completed in-home air sampling for one week prior to providing urine samples up to four times in a year. Weekly indoor and daily outdoor concentrations were used to estimate indoor daily lags and moving averages. There were no reported in-home BC sources, thus indoor levels closely represented outdoor BC infiltration. Mixed effects regression models with a random intercept for each participant were used to assess relationships between indoor BC and 8-OHdG and MDA, adjusting for age, race, BMI, diabetes, heart disease, season, time of urine collection, urine creatinine, and outdoor humidity and temperature. RESULTS There were positive effects of BC on 8-OHdG and MDA, with the greatest effect the day before urine collection (6.9% increase; 95% CI 0.9-13.3%, per interquartile range: 0.22 μg/m3) for 8-OHdG and 1 to 4 days before collection (8.3% increase; 95% CI 0.03-17.3% per IQR) for MDA. Results were similar in models adjusting for PM2.5 not associated with BC and NO2 (10.4% increase, 95% CI: 3.5-17.9 for 8-OHdG; 8.1% increase, 95% CI: -1.1-18.1 for MDA). Effects on 8-OHdG were greater in obese participants. CONCLUSIONS We found positive associations between BC exposure and 8-OHdG and MDA, in which associations with 8-OHdG were stronger in obese participants. These results suggest that exposure to low levels of traffic-related pollution results in lipid peroxidation and oxidative DNA damage in individuals with COPD.
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Affiliation(s)
- Stephanie T Grady
- Research and Development Service, VA Boston Healthcare System, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Junfeng Jim Zhang
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - Jicheng Gong
- Nicholas School of the Environment, Duke University, Durham, NC, USA; BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Marilyn L Moy
- Pulmonary, Allergy, Sleep, and Critical Care Medicine, VA Boston Healthcare System and Harvard Medical School, Boston, MA, USA
| | - Eric Garshick
- Pulmonary, Allergy, Sleep, and Critical Care Medicine, VA Boston Healthcare System and Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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Dong W, Pan L, Li H, Miller MR, Loh M, Wu S, Xu J, Yang X, Shan J, Chen Y, Deng F, Guo X. Association of size-fractionated indoor particulate matter and black carbon with heart rate variability in healthy elderly women in Beijing. INDOOR AIR 2018; 28:373-382. [PMID: 29315830 DOI: 10.1111/ina.12449] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 12/22/2017] [Indexed: 05/09/2023]
Abstract
Associations between size-fractionated indoor particulate matter (PM) and black carbon (BC) and heart rate variability (HRV) and heart rate (HR) in elderly women remain unclear. Twenty-nine healthy elderly women were measured for 24-hour HRV/HR indices. Real-time size-fractionated indoor PM and BC were monitored on the same day and on the preceding day. Mixed-effects models were applied to investigate the associations between pollutants and HRV/HR indices. Increases in size-fractionated indoor PM were significantly associated with declines in power in the high-frequency band (HF), power in the low-frequency band (LF), and standard deviation of all NN intervals (SDNN). The largest decline in HF was 19% at 5-minute moving average for an interquartile range (IQR) increase (24 μg/m3 ) in PM0.5 . The results showed that smaller particles could lead to greater reductions in HRV indices. The reported associations were modified by body mass index (BMI): Declines in HF at 5-minute average for an IQR increase in PM0.5 were 34.5% and 1.0% for overweight (BMI ≥25 kg/m2 ) and normal-weight (BMI <25 kg/m2 ) participants, respectively. Moreover, negative associations between BC and HRV indices were found to be significant in overweight participants. Increases in size-fractionated indoor PM and BC were associated with compromised cardiac autonomic function in healthy elderly women, especially overweight ones.
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Affiliation(s)
- W Dong
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
| | - L Pan
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
| | - H Li
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
| | - M R Miller
- University/BHF Centre for Cardiovascular Science, Queens Medical Research Institute, The University of Edinburgh, Edinburgh, UK
| | - M Loh
- Institute of Occupational Medicine, Edinburgh, UK
| | - S Wu
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
| | - J Xu
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
| | - X Yang
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
| | - J Shan
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
| | - Y Chen
- Respiratory Department, Peking University Third Hospital, Beijing, China
| | - F Deng
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
| | - X Guo
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
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Rao X, Zhong J, Brook RD, Rajagopalan S. Effect of Particulate Matter Air Pollution on Cardiovascular Oxidative Stress Pathways. Antioxid Redox Signal 2018; 28:797-818. [PMID: 29084451 PMCID: PMC5831906 DOI: 10.1089/ars.2017.7394] [Citation(s) in RCA: 200] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
SIGNIFICANCE Particulate matter (PM) air pollution is a leading cause of global cardiovascular morbidity and mortality. Understanding the biological action of PM is of particular importance in improvement of public health. Recent Advances: Both fine (PM <2.5 μM) and ultrafine particles (<0.1 μM) are widely believed to mediate their effects through redox regulated pathways. A rather simplistic graded ramp model of redox stress has been replaced by a more sophisticated understanding of the role of oxidative stress in signaling, and the realization that many of the observed effects may involve disruption and/or enhancement of normal endogenous redox signaling and induction of a potent immune-mediated response, through entrainment of multiple reactive oxygen species (ROS). CRITICAL ISSUES The molecular events by which pulmonary oxidative stress in response to inhalational exposure to air pollution triggers inflammation, major ROS (e.g., superoxide, hydroxyl radical, nitric oxide, and peroxynitrite) generated in air pollution exposure, types of oxidative tissue damage in target organs, contributions of nonimmune and immune cells in inflammation, and the role of protective proteins (e.g., surfactant, proteins, and antioxidants) are highly complex and may differ depending on models and concomitant disease states. FUTURE DIRECTIONS While the role of oxidative stress in the lung has been well demonstrated, the role of oxidative stress in mediating systemic effects especially in inflammation and injury processes needs further work. The role of antioxidant defenses with chronic exposure will also need further exploration. Antioxid. Redox Signal. 28, 797-818.
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Affiliation(s)
- Xiaoquan Rao
- 1 Department of Medicine, Case Cardiovascular Research Institute, Case Western Reserve University , Cleveland, Ohio
| | - Jixin Zhong
- 1 Department of Medicine, Case Cardiovascular Research Institute, Case Western Reserve University , Cleveland, Ohio
| | - Robert D Brook
- 2 Department of Medicine, Division of Cardiovascular Medicine, University of Michigan , Ann Arbor, Michigan
| | - Sanjay Rajagopalan
- 1 Department of Medicine, Case Cardiovascular Research Institute, Case Western Reserve University , Cleveland, Ohio
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Abstract
PURPOSE OF REVIEW Worldwide demographic changes occurring in a relatively short period have led to a growing interest in the determinants of aging "successfully" and how to promote a healthier old age. As environmental exposures such as ambient air pollution are believed to play a role in the process of aging, they might represent one of the pathways turning potential successful agers to unsuccessful agers. We aimed to critically review the current epidemiological evidence of the associations between chronic exposure to ambient air pollution and several key determinants of unsuccessful aging and to identify specific populations of unsuccessful agers that are potentially more vulnerable to air pollution's health effects. RECENT FINDINGS Epidemiologic evidence supports the association between air pollution and increased risk for several major chronic diseases, cognitive impairment, frailty, and decreased longevity-all important determinants of unsuccessful aging-as well as evidence for higher vulnerability among frail populations. However, several methodological shortcomings, including possible publication bias, lack of use of an adequate indicator of unsuccessful aging, limitations in exposure assessment, and residual confounding particularly due to socioeconomic status, hinder inference of causal relationship at this stage. Future studies should use constructs such as frailty index to estimate successful aging, as well as integrate time activity patterns into the exposure assessment metric. Additionally, studies in low- and middle-income countries are needed.
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Perčič S, Kukec A, Cegnar T, Hojs A. Number of Heat Wave Deaths by Diagnosis, Sex, Age Groups, and Area, in Slovenia, 2015 vs. 2003. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15010173. [PMID: 29361792 PMCID: PMC5800272 DOI: 10.3390/ijerph15010173] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 01/05/2018] [Accepted: 01/18/2018] [Indexed: 12/20/2022]
Abstract
Background: Number of deaths increases during periods of elevated heat. Objectives: To examine whether differences in heat-related deaths between 2003 and 2015 occurred in Slovenia. Materials and Methods: We estimated relative risks for deaths for the observed diagnoses, sex, age, and area, as well as 95% confidence intervals and excess deaths associated with heat waves occurring in 2015 and 2003. For comparison between 2015 and 2003, we calculated relative risks ratio and 95% confidence intervals. Results: Statistically significant in 2015 were the following: age group 75+, all causes of deaths (RR = 1.10, 95% CI 1.00–1.22); all population, circulatory system diseases (RR = 1.14, 95% CI 1.01–1.30) and age group 75+, diseases of circulatory system (RR = 1.17, 95% CI 1.01–1.34). Statistically significant in 2003 were the following: female, age group 5–74, circulatory system diseases (RR = 1.69, 95% CI 1.08–2.62). Discussion: Comparison between 2015 and 2003, all, circulatory system diseases (RRR = 1.25, 95% CI 1.01–1.55); male, circulatory system diseases (RRR = 1.85, 95% CI 1.41–2.43); all, age group 75+ circulatory system diseases (RRR = 1.34, 95% CI 1.07–1.69); male, age group 75+, circulatory system diseases (RRR = 1.52, 95% CI 1.03–2.25) and female, age group 75+, circulatory system diseases (RRR = 1.43, 95% CI 1.08–1.89). Conclusions: Public health efforts are urgent and should address circulatory system causes and old age groups.
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Affiliation(s)
- Simona Perčič
- Centre for Environmental Health, National Institute of Public Health Slovenia, Zaloška 29, 1000 Ljubljana, Slovenia.
| | - Andreja Kukec
- Department for Public Health, Medical Faculty, University of Ljubljana, Zaloška 4, 1000 Ljubljana, Slovenia.
| | - Tanja Cegnar
- Slovenian Environment Agency, Vojkova cesta 1b, 1000 Ljubljana, Slovenia.
| | - Ana Hojs
- Centre for Environmental Health, National Institute of Public Health Slovenia, Zaloška 29, 1000 Ljubljana, Slovenia.
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Evaluation of Traffic Density Parameters as an Indicator of Vehicle Emission-Related Near-Road Air Pollution: A Case Study with NEXUS Measurement Data on Black Carbon. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14121581. [PMID: 29244754 PMCID: PMC5750999 DOI: 10.3390/ijerph14121581] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 11/23/2017] [Accepted: 12/11/2017] [Indexed: 11/16/2022]
Abstract
An important factor in evaluating health risk of near-road air pollution is to accurately estimate the traffic-related vehicle emission of air pollutants. Inclusion of traffic parameters such as road length/area, distance to roads, and traffic volume/intensity into models such as land use regression (LUR) models has improved exposure estimation. To better understand the relationship between vehicle emissions and near-road air pollution, we evaluated three traffic density-based indices: Major-Road Density (MRD), All-Traffic Density (ATD) and Heavy-Traffic Density (HTD) which represent the proportions of major roads, major road with annual average daily traffic (AADT), and major road with commercial annual average daily traffic (CAADT) in a buffered area, respectively. We evaluated the potential of these indices as vehicle emission-specific near-road air pollutant indicators by analyzing their correlation with black carbon (BC), a marker for mobile source air pollutants, using measurement data obtained from the Near-road Exposures and Effects of Urban Air Pollutants Study (NEXUS). The average BC concentrations during a day showed variations consistent with changes in traffic volume which were classified into high, medium, and low for the morning rush hours, the evening rush hours, and the rest of the day, respectively. The average correlation coefficients between BC concentrations and MRD, ATD, and HTD, were 0.26, 0.18, and 0.48, respectively, as compared with −0.31 and 0.25 for two commonly used traffic indicators: nearest distance to a major road and total length of the major road. HTD, which includes only heavy-duty diesel vehicles in its traffic count, gives statistically significant correlation coefficients for all near-road distances (50, 100, 150, 200, 250, and 300 m) that were analyzed. Generalized linear model (GLM) analyses show that season, traffic volume, HTD, and distance from major roads are highly related to BC measurements. Our analyses indicate that traffic density parameters may be more specific indicators of near-road BC concentrations for health risk studies. HTD is the best index for reflecting near-road BC concentrations which are influenced mainly by the emissions of heavy-duty diesel engines.
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Yin J, Xia W, Li Y, Guo C, Zhang Y, Huang S, Jia Z, Zhang A. COX-2 mediates PM2.5-induced apoptosis and inflammation in vascular endothelial cells. Am J Transl Res 2017; 9:3967-3976. [PMID: 28979673 PMCID: PMC5622242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 08/29/2017] [Indexed: 06/07/2023]
Abstract
Emerging evidence demonstrated that particulate matter 2.5 (PM2.5) exposure served as an important risk factor of cardiovascular diseases. Some studies also reported that COX-2/mPGES-1/PGE2 cascade played a pathogenic role in vascular injury. However, the relationship between the PM2.5 exposure and the activation of COX-2/mPGES-1/PGE2 cascade in endothelial cells is still unknown. In the present study, mouse aorta endothelial cells were exposed to PM2.5. Strikingly, following the PM2.5 treatment, we observed dose- and time-dependent upregulation of COX-2 at both protein and mRNA levels as determined by Western blotting and qRT-PCR, respectively. However, COX-1 mRNA expression was not affected by PM2.5 treatment. Next, we examined mPGES-1 expression. As expected, mPGES-1 protein was markedly increased by PM2.5 exposure in line with a significant increment of PGE2 release in medium. At the same time, we observed a dose-dependent upregulation of another two PGE2 synthases of mPGES-2 and cPGES determined by qRT-PCR. Inhibition of COX-2 by using a specific COX-2 inhibitor NS-398 markedly blocked cell apoptosis, inflammation, and PGE2 secretion. Taken together, these results suggested that PM2.5 could activate inflammatory axis of COX-2/PGES/PGE2 in vascular endothelial cells to promote cell apoptosis and inflammatory response.
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Affiliation(s)
- Jie Yin
- Department of Nephrology, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
- Jiangsu Key Laboratory of Pediatrics, Nanjing Medical UniversityNanjing 210029, China
- Nanjing Key Laboratory of Pediatrics, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
| | - Weiwei Xia
- Department of Nephrology, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
- Jiangsu Key Laboratory of Pediatrics, Nanjing Medical UniversityNanjing 210029, China
- Nanjing Key Laboratory of Pediatrics, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
- Department of Clinical Laboratory, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
| | - Yuanyuan Li
- Department of Nephrology, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
- Jiangsu Key Laboratory of Pediatrics, Nanjing Medical UniversityNanjing 210029, China
- Nanjing Key Laboratory of Pediatrics, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
| | - Chuchu Guo
- Department of Nephrology, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
- Jiangsu Key Laboratory of Pediatrics, Nanjing Medical UniversityNanjing 210029, China
- Nanjing Key Laboratory of Pediatrics, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
| | - Yue Zhang
- Department of Nephrology, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
- Jiangsu Key Laboratory of Pediatrics, Nanjing Medical UniversityNanjing 210029, China
- Nanjing Key Laboratory of Pediatrics, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
| | - Songming Huang
- Department of Nephrology, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
- Jiangsu Key Laboratory of Pediatrics, Nanjing Medical UniversityNanjing 210029, China
- Nanjing Key Laboratory of Pediatrics, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
| | - Zhanjun Jia
- Department of Nephrology, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
- Jiangsu Key Laboratory of Pediatrics, Nanjing Medical UniversityNanjing 210029, China
- Nanjing Key Laboratory of Pediatrics, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
| | - Aihua Zhang
- Department of Nephrology, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
- Jiangsu Key Laboratory of Pediatrics, Nanjing Medical UniversityNanjing 210029, China
- Nanjing Key Laboratory of Pediatrics, Children’s Hospital of Nanjing Medical UniversityNanjing 210008, China
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Kelly FJ, Fussell JC. Role of oxidative stress in cardiovascular disease outcomes following exposure to ambient air pollution. Free Radic Biol Med 2017; 110:345-367. [PMID: 28669628 DOI: 10.1016/j.freeradbiomed.2017.06.019] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 06/02/2017] [Accepted: 06/28/2017] [Indexed: 12/19/2022]
Abstract
Exposure to ambient air pollution is associated with adverse cardiovascular outcomes. These are manifested through several, likely overlapping, pathways including at the functional level, endothelial dysfunction, atherosclerosis, pro-coagulation and alterations in autonomic nervous system balance and blood pressure. At numerous points within each of these pathways, there is potential for cellular oxidative imbalances to occur. The current review examines epidemiological, occupational and controlled exposure studies and research employing healthy and diseased animal models, isolated organs and cell cultures in assessing the importance of the pro-oxidant potential of air pollution in the development of cardiovascular disease outcomes. The collective body of data provides evidence that oxidative stress (OS) is not only central to eliciting specific cardiac endpoints, but is also implicated in modulating the risk of succumbing to cardiovascular disease, sensitivity to ischemia/reperfusion injury and the onset and progression of metabolic disease following ambient pollution exposure. To add to this large research effort conducted to date, further work is required to provide greater insight into areas such as (a) whether an oxidative imbalance triggers and/or worsens the effect and/or is representative of the consequence of disease progression, (b) OS pathways and cardiac outcomes caused by individual pollutants within air pollution mixtures, or as a consequence of inter-pollutant interactions and (c) potential protection provided by nutritional supplements and/or pharmacological agents with antioxidant properties, in susceptible populations residing in polluted urban cities.
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Affiliation(s)
- Frank J Kelly
- NIHR Health Protection Research Unit in Health Impact of Environmental Hazards, Facility of Life Sciences and Medicine, King's College London, 150 Stamford Street, London SE1 9NH, UK.
| | - Julia C Fussell
- NIHR Health Protection Research Unit in Health Impact of Environmental Hazards, Facility of Life Sciences and Medicine, King's College London, 150 Stamford Street, London SE1 9NH, UK
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Association Between Particulate Air Pollution and QT Interval Duration in an Elderly Cohort. Epidemiology 2017; 27:284-90. [PMID: 26605812 DOI: 10.1097/ede.0000000000000424] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Short-term fine particulate matter (PM2.5) exposure has been linked with increased QT interval duration, a marker of ventricular repolarization and a risk factor for cardiac arrhythmia and sudden death, in several studies. Only one previous study evaluated whether long-term PM exposure is related to the QT interval. We aim to evaluate whether subchronic and long-term exposure to PM2.5 at home is linked with QT duration in an elderly cohort. METHODS We measured heart-rate corrected QT interval duration among 404 participants from the Greater Boston area between 2003 and 2011. We modeled residential PM2.5 exposures using a hybrid satellite- and land use-based model. We evaluated associations between moving averages of short-term (1-2 days), subchronic (3-28 days), and long-term (1 year) pollutant exposures and corrected QT duration using linear mixed models. We also evaluated effect modification by oxidative stress genetic score using separated regression models and interaction terms. RESULTS We observed positive associations between subchronic and long-term PM2.5 exposure and corrected QT duration, with the strongest results for longer-term exposures. For example, a one standard deviation increase in 1-year PM2.5 was associated with a 6.3 ms increase in corrected QT (95% confidence interval: 1.8, 11). We observed somewhat greater effects among subjects with higher (8.5 ms) rather than lower (3.1 ms) oxidative stress allelic profiles (P interaction = 0.25). CONCLUSIONS PM2.5 was associated with increased corrected QT duration in an elderly cohort. While most previous studies focused on short-term air pollution exposures, our results suggest that longer-term exposures are associated with cardiac repolarization.
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Chu H, Shang J, Jin M, Li Q, Chen Y, Huang H, Li Y, Pan Y, Tao X, Cheng Z, Meng Q, Jia G, Zhu T, Wei X, Hao W. Comparison of lung damage in mice exposed to black carbon particles and ozone-oxidized black carbon particles. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 573:303-312. [PMID: 27570198 DOI: 10.1016/j.scitotenv.2016.08.137] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Revised: 08/18/2016] [Accepted: 08/19/2016] [Indexed: 06/06/2023]
Abstract
Black carbon (BC) is a key component of atmospheric particles and has a significant effect on human health. Oxidation could change the characteristics of BC and increase its toxicity. The comparison of lung damage in mice exposed to BC and ozone-oxidized BC (oBC) particles is investigated in this study. Mice which were intratracheally instilled with particles have a higher expression of IL-1β, IL-6 and IL-33 in bronchoalveolar lavage fluid (BALF). Also, the IL-6, IL-33 mRNA expression in the lung tissue of mice instilled with oBC was higher than that of mice instilled with BC. The expression of CD3 in the lung tissue of mice intratracheally instilled with oBC was higher than the mice distilled with BC. The pathology results showed that the lung tissue of mice instilled with oBC particles have much more inflammatory cells infiltration than that of mice treated with BC. It is believed that the PI3K-AKT pathway might be involved in the oBC particles caused lung damage. Results indicated that oBC particles in the atmosphere may cause more damage to health.
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Affiliation(s)
- Hongqian Chu
- Department of Toxicology, School of Public Health, Peking University, Beijing 100191, PR China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, PR China
| | - Jing Shang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Ming Jin
- Department of Toxicology, School of Public Health, Peking University, Beijing 100191, PR China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, PR China
| | - Qian Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China; POTEN Environment Group Co., Ltd., Beijing 100082, PR China
| | - Yueyue Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Hongpeng Huang
- Department of Toxicology, School of Public Health, Peking University, Beijing 100191, PR China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, PR China
| | - Yuan Li
- Department of Toxicology, School of Public Health, Peking University, Beijing 100191, PR China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, PR China
| | - Yao Pan
- Department of Toxicology, School of Public Health, Peking University, Beijing 100191, PR China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, PR China
| | - Xi Tao
- Department of Toxicology, School of Public Health, Peking University, Beijing 100191, PR China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, PR China
| | - Zhiyuan Cheng
- Department of Toxicology, School of Public Health, Peking University, Beijing 100191, PR China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, PR China
| | - Qinghe Meng
- Department of Toxicology, School of Public Health, Peking University, Beijing 100191, PR China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, PR China
| | - Guang Jia
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, PR China
| | - Tong Zhu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Xuetao Wei
- Department of Toxicology, School of Public Health, Peking University, Beijing 100191, PR China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, PR China.
| | - Weidong Hao
- Department of Toxicology, School of Public Health, Peking University, Beijing 100191, PR China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing 100191, PR China.
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Palacio IC, Oliveira IF, Franklin RL, Barros SBM, Roubicek DA. Evaluating the mutagenicity of the water-soluble fraction of air particulate matter: A comparison of two extraction strategies. CHEMOSPHERE 2016; 158:124-130. [PMID: 27258903 DOI: 10.1016/j.chemosphere.2016.05.058] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Accepted: 05/19/2016] [Indexed: 06/05/2023]
Abstract
Many studies have focused on assessing the genotoxic potential of the organic fraction of airborne particulate matter. However, the determination of water-soluble compounds, and the evaluation of the toxic effects of these elements can also provide valuable information for the development of novel strategies to control atmospheric air pollution. To determine an appropriate extraction method for assessing the mutagenicity of the water-soluble fraction of PM, we performed microwave assisted (MW) and ultrasonic bath (US) extractions, using water as solvent, in eight different air samples (TSP and PM10). Mutagenicity and extraction performances were evaluated using the Salmonella/microsome assay with strains TA98 and TA100, followed by chemical determination of water-soluble metals. Additionally, we evaluated the chemical and biological stability of the extracts testing their mutagenic potential and chemically determining elements present in the samples along several periods after extraction. Reference material SRM 1648a was used. The comparison of MW and US extractions did not show differences on the metals concentrations, however positive mutagenic responses were detected with TA98 strain in all samples extracted using the MW method, but not with the US bath extraction. The recovery, using reference material was better in samples extracted with MW. We concluded that the MW extraction is more efficient to assess the mutagenic activity of the soluble fraction of airborne PM. We also observed that the extract freezing and storage over 60 days has a significant effect on the mutagenic and analytical results on PM samples, and should be avoided.
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Affiliation(s)
- Isabel C Palacio
- Dept. Environmental Analyses, São Paulo State Environmental Agency, CETESB, Av. Prof. Frederico Hermann Jr, 345, 05459-900, São Paulo, SP, Brazil; Dept. Clinical Analyses and Toxicology, Faculty of Pharmaceutical Sciences, University of São Paulo, Av. Professor Lineu Prestes, 580, 05508-000, São Paulo, SP, Brazil.
| | - Ivo F Oliveira
- Dept. Environmental Analyses, São Paulo State Environmental Agency, CETESB, Av. Prof. Frederico Hermann Jr, 345, 05459-900, São Paulo, SP, Brazil.
| | - Robson L Franklin
- Dept. Environmental Analyses, São Paulo State Environmental Agency, CETESB, Av. Prof. Frederico Hermann Jr, 345, 05459-900, São Paulo, SP, Brazil.
| | - Silvia B M Barros
- Dept. Clinical Analyses and Toxicology, Faculty of Pharmaceutical Sciences, University of São Paulo, Av. Professor Lineu Prestes, 580, 05508-000, São Paulo, SP, Brazil.
| | - Deborah A Roubicek
- Dept. Environmental Analyses, São Paulo State Environmental Agency, CETESB, Av. Prof. Frederico Hermann Jr, 345, 05459-900, São Paulo, SP, Brazil.
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Wang M, Utell MJ, Schneider A, Zareba W, Frampton MW, Oakes D, Hopke PK, Wiltshire J, Kane C, Peters A, Breitner S, Chalupa D, Rich DQ. Does total antioxidant capacity modify adverse cardiac responses associated with ambient ultrafine, accumulation mode, and fine particles in patients undergoing cardiac rehabilitation? ENVIRONMENTAL RESEARCH 2016; 149:15-22. [PMID: 27174779 PMCID: PMC4907837 DOI: 10.1016/j.envres.2016.04.031] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 04/21/2016] [Accepted: 04/22/2016] [Indexed: 05/02/2023]
Abstract
BACKGROUND Previous studies suggest that pathways reducing oxidative stress may have a protective effect against adverse cardiac responses associated with ambient PM. However, few studies have directly assessed total antioxidant capacity (TAC) as a potential effect modifier of cardiac responses to increased ambient PM. OBJECTIVES We examined if TAC modifies the association between ambient PM and markers of heart rate variability (HRV), repolarization, systemic inflammation, and systolic blood pressure (SBP) in post-infarction patients. METHODS We recruited 76 patients with a recent coronary event (myocardial infarction or unstable angina) who participated in a cardiac rehabilitation program from June 2006 to November 2009 in Rochester, New York. Ambient fine particle (PM2.5,≤2.5µm in aerodynamic diameter), accumulation mode particle (AMP, 100-500nm) and ultrafine particle (UFP, 10-100nm) concentrations were measured continuously by fixed-site monitors. Markers of HRV and repolarization were measured by continuous Holter electrocardiogram (ECG) recordings before and during exercise sessions of the rehabilitation program. Blood pressure was measured and venous blood samples were collected before exercise to measure TAC and inflammation markers. We applied linear mixed models to assess changes in markers of HRV, repolarization, systemic inflammation, and SBP associated with increased PM concentrations in the low, medium and high TAC tertile groups, after adjusting for covariates including temperature, calendar time since the beginning of the study, visit number, month of year, and hour of day. RESULTS Based on subject-visits with available TAC, we observed increases in SBP, C-reactive protein, and fibrinogen, and decreases in rMSSD (square root of the mean of the sum of the squared differences between adjacent normal to normal intervals) and SDNN (standard deviation of normal to normal beat intervals) associated with increased PM2.5, AMP and UFP in the previous 6-120h (e.g. change in SBP associated with each interquartile range (IQR) increase in PM2.5 lagged 0-5h was 1.27mmHg [95%CI: 0.09, 2.46mmHg]). However, we did not observe a consistent pattern of effect measure modification by TAC for any combination of pollutant and outcome (e.g. changes in SBP associated with each IQR increase in PM2.5 lagged 0-5h for the low, medium and high TAC tertile groups were 1.93mmHg [95%CI: 0.23, 3.63 mmHg], -0.31 mmHg [95%CI: -2.62, 2.01 mmHg], and 1.29mmHg [95%CI: -0.64, 3.21 mmHg], respectively. P for interaction=0.28). CONCLUSIONS In a post-infarction population, total antioxidant capacity does not appear to modify the association between biomarkers of heart rate variability, repolarization, systemic inflammation, and systolic blood pressure and ambient PM concentrations in the previous 6-120h.
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Affiliation(s)
- Meng Wang
- Division of Epidemiology, Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Mark J Utell
- Division of Pulmonary and Critical Care, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Alexandra Schneider
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
| | - Wojciech Zareba
- Division of Cardiology, Department of Medicine, University of Rochester Medical Center, NY, USA
| | - Mark W Frampton
- Division of Pulmonary and Critical Care, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - David Oakes
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA
| | - Philip K Hopke
- Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY, USA
| | - Jelani Wiltshire
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA
| | - Cathleen Kane
- Division of Epidemiology, Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
| | - Susanne Breitner
- Institute of Epidemiology II, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
| | - David Chalupa
- Division of Pulmonary and Critical Care, Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - David Q Rich
- Division of Epidemiology, Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
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Bind MA, Peters A, Koutrakis P, Coull B, Vokonas P, Schwartz J. Quantile Regression Analysis of the Distributional Effects of Air Pollution on Blood Pressure, Heart Rate Variability, Blood Lipids, and Biomarkers of Inflammation in Elderly American Men: The Normative Aging Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2016; 124:1189-98. [PMID: 26967543 PMCID: PMC4977045 DOI: 10.1289/ehp.1510044] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Revised: 08/03/2015] [Accepted: 02/22/2016] [Indexed: 05/20/2023]
Abstract
BACKGROUND Previous studies have observed associations between air pollution and heart disease. Susceptibility to air pollution effects has been examined mostly with a test of effect modification, but little evidence is available whether air pollution distorts cardiovascular risk factor distribution. OBJECTIVES This paper aims to examine distributional and heterogeneous effects of air pollution on known cardiovascular biomarkers. METHODS A total of 1,112 men from the Normative Aging Study and residents of the greater Boston, Massachusetts, area with mean age of 69 years at baseline were included in this study during the period 1995-2013. We used quantile regression and random slope models to investigate distributional effects and heterogeneity in the traffic-related responses on blood pressure, heart rate variability, repolarization, lipids, and inflammation. We considered 28-day averaged exposure to particle number, PM2.5 black carbon, and PM2.5 mass concentrations (measured at a single monitor near the site of the study visits). RESULTS We observed some evidence suggesting distributional effects of traffic-related pollutants on systolic blood pressure, heart rate variability, corrected QT interval, low density lipoprotein (LDL) cholesterol, triglyceride, and intercellular adhesion molecule-1 (ICAM-1). For example, among participants with LDL cholesterol below 80 mg/dL, an interquartile range increase in PM2.5 black carbon exposure was associated with a 7-mg/dL (95% CI: 5, 10) increase in LDL cholesterol, while among subjects with LDL cholesterol levels close to 160 mg/dL, the same exposure was related to a 16-mg/dL (95% CI: 13, 20) increase in LDL cholesterol. We observed similar heterogeneous associations across low versus high percentiles of the LDL distribution for PM2.5 mass and particle number. CONCLUSIONS These results suggest that air pollution distorts the distribution of cardiovascular risk factors, and that, for several outcomes, effects may be greatest among individuals who are already at high risk. CITATION Bind MA, Peters A, Koutrakis P, Coull B, Vokonas P, Schwartz J. 2016. Quantile regression analysis of the distributional effects of air pollution on blood pressure, heart rate variability, blood lipids, and biomarkers of inflammation in elderly American men: the Normative Aging Study. Environ Health Perspect 124:1189-1198; http://dx.doi.org/10.1289/ehp.1510044.
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Affiliation(s)
- Marie-Abele Bind
- Department of Statistics, Harvard University, Cambridge, Massachusetts, USA
- Address correspondence to M.-A. Bind, Department of Statistics, Science Center, 7th Floor, One Oxford St., Cambridge, MA 02138 USA. Telephone: (617) 384-8740. E-mail:
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Pantel Vokonas
- VA Boston Healthcare System and the Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
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Potential Harmful Effects of PM2.5 on Occurrence and Progression of Acute Coronary Syndrome: Epidemiology, Mechanisms, and Prevention Measures. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13080748. [PMID: 27463723 PMCID: PMC4997434 DOI: 10.3390/ijerph13080748] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Revised: 07/13/2016] [Accepted: 07/20/2016] [Indexed: 12/18/2022]
Abstract
The harmful effects of particulate matter with an aerodynamic diameter of <2.5 µm (PM2.5) and its association with acute coronary syndrome (ACS) has gained increased attention in recent years. Significant associations between PM2.5 and ACS have been found in most studies, although sometimes only observed in specific subgroups. PM2.5-induced detrimental effects and ACS arise through multiple mechanisms, including endothelial injury, an enhanced inflammatory response, oxidative stress, autonomic dysfunction, and mitochondria damage as well as genotoxic effects. These effects can lead to a series of physiopathological changes including coronary artery atherosclerosis, hypertension, an imbalance between energy supply and demand to heart tissue, and a systemic hypercoagulable state. Effective strategies to prevent the harmful effects of PM2.5 include reducing pollution sources of PM2.5 and population exposure to PM2.5, and governments and organizations publicizing the harmful effects of PM2.5 and establishing air quality standards for PM2.5. PM2.5 exposure is a significant risk factor for ACS, and effective strategies with which to prevent both susceptible and healthy populations from an increased risk for ACS have important clinical significance in the prevention and treatment of ACS.
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Cascio WE. Proposed pathophysiologic framework to explain some excess cardiovascular death associated with ambient air particle pollution: Insights for public health translation. Biochim Biophys Acta Gen Subj 2016; 1860:2869-79. [PMID: 27451957 DOI: 10.1016/j.bbagen.2016.07.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Revised: 07/13/2016] [Accepted: 07/18/2016] [Indexed: 02/08/2023]
Abstract
The paper proposes a pathophysiologic framework to explain the well-established epidemiological association between exposure to ambient air particle pollution and premature cardiovascular mortality, and offers insights into public health solutions that extend beyond regulatory environmental protections to actions that can be taken by individuals, public health officials, healthcare professionals, city and regional planners, local and state governmental officials and all those who possess the capacity to improve cardiovascular health within the population. The foundation of the framework rests on the contribution of traditional cardiovascular risk factors acting alone and in concert with long-term exposures to air pollutants to create a conditional susceptibility for clinical vascular events, such as myocardial ischemia and infarction; stroke and lethal ventricular arrhythmias. The conceptual framework focuses on the fact that short-term exposures to ambient air particulate matter (PM) are associated with vascular thrombosis (acute coronary syndrome, stroke, deep venous thrombosis, and pulmonary embolism) and electrical dysfunction (ventricular arrhythmia); and that individuals having prevalent heart disease are at greatest risk. Moreover, exposure is concomitant with changes in autonomic nervous system balance, systemic inflammation, and prothrombotic/anti-thrombotic and profibrinolytic-antifibrinolytic balance. Thus, a comprehensive solution to the problem of premature mortality triggered by air pollutant exposure will require compliance with regulations to control ambient air particle pollution levels, minimize exposures to air pollutants, as well as a concerted effort to decrease the number of people at-risk for serious clinical cardiovascular events triggered by air pollutant exposure by improving the overall state of cardiovascular health in the population. This article is part of a Special Issue entitled Air Pollution, edited by Wenjun Ding, Andrew J. Ghio and Weidong Wu.
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Affiliation(s)
- Wayne E Cascio
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Chapel Hill, NC, USA.
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Interactions Between Air Pollution and Obesity on Blood Pressure and Hypertension in Chinese Children. Epidemiology 2016; 26:740-7. [PMID: 26133026 DOI: 10.1097/ede.0000000000000336] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Little information exists regarding the effect of interaction of obesity and long-term air pollution exposure on children's blood pressure and hypertension in areas with high levels of air pollution. The aim of this study is to assess effect modification by obesity on the association between exposure and blood pressure in Chinese children. METHODS We studied 9,354 Chinese children, ages 5-17 years old, from 24 elementary schools and 24 middle schools in the Seven Northeastern Cities during 2012-2013. Four-year average concentrations of particles with an aerodynamic diameter ≤10 µm (PM10), sulfur dioxide, nitrogen dioxides, and ozone (O3) were measured at the monitoring stations in the 24 districts. We used generalized additive models and two-level logistic regression models to examine the health effects. RESULTS Consistent interactions were found between exposure and obesity on blood pressure and hypertension. The association between exposure and hypertension was consistently larger for overweight/obese children than for children with normal-weight, with odds ratios for hypertension ranging from 1.16 per 46.3μg/m for O3 (95% confidence interval [CI] = 1.12, 1.20) to 2.91 per 30.6μg/m for PM10 (95% CI = 2.32, 3.64), and estimated increases in mean systolic and diastolic blood pressure ranging from 0.57 mmHg (95% CI = 0.36, 0.78) and 0.63 mmHg (95% CI = 0.46, 0.81) per 46.3 μg/m for O3 to 4.04 mmHg (95% CI = 3.00, 5.09) and 2.02 mmHg (95% CI = 1.14, 2.89) per 23.4 μg/m for sulfur dioxide. CONCLUSIONS Obesity amplifies the association of long-term air pollution exposure with blood pressure and hypertension in Chinese children.
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Su JG. An online tool for obesity intervention and public health. BMC Public Health 2016; 16:136. [PMID: 26864125 PMCID: PMC4748626 DOI: 10.1186/s12889-016-2797-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Accepted: 02/01/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Though the United States of America (U.S.A.) obesity rate shows signs of leveling off, rates remain high. Poor nutrition contributes to the development of obesity, and physical inactivity is an important cause of numerous diseases and directly linked to obesity. Efforts to improve diet, increase physical activity and pursue other behavioral changes seem imperative. However, the effective management of intervention strategies for large number of participants are challenging because services in primary, secondary, and tertiary cares are often under-resourced, relatively uncoordinated with other parts of the health system. It is thus necessary to have accompanying intervention strategies that can be carried out at population level. In this paper, we describe an online intervention tool designed for the Obesity Prevention Tailored for Health II project to help achieve such goals. RESULTS The first part of the online tool locates healthy food stores and recreational programs within a specified distance of a participant's home or a place of interest. The food environments include fruit & vegetable stores, farmers' markets and grocery stores, and the companying popup window shows the street address and contact information of each store. The parks and recreational programs are displayed on names of park or recreational program, types of program available, and city each amenity belongs to. The tool also provides spatial coverage of vegetation greenness, air pollution and of historical traffic accidents involving active travel. The second part of the tool provides optimized travel options for reaching various amenities. By incorporating bicycling, walking and public transit into the trip planner, this online tool helps increase active transport and reduce dependence on automobiles. It promotes transportation that encourages safety awareness, physical activity, health, recreation, and resource conservation. CONCLUSIONS We developed the first Google-based online intervention tool that assists obese and overweight participants in finding food and recreational amenities around locations of interest and identifying optimized routes that fit their personal preferences. This tool can also serve general public and policy makers for education, disease prevention and health promotion.
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Affiliation(s)
- Jason G Su
- Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, 94720-7360, USA.
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Dye JA, Ledbetter AD, Schladweiler MC, Costa DL, Kodavanti UP. Whole body plethysmography reveals differential ventilatory responses to ozone in rat models of cardiovascular disease. Inhal Toxicol 2015; 27 Suppl 1:14-25. [DOI: 10.3109/08958378.2014.954167] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Janice A. Dye
- Environmental Public Health Division, NHEERL, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA and
| | - Allen D. Ledbetter
- Environmental Public Health Division, NHEERL, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA and
| | - Mette C. Schladweiler
- Environmental Public Health Division, NHEERL, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA and
| | - Daniel L. Costa
- National Program for Air Climate & Energy Research, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Urmila P. Kodavanti
- Environmental Public Health Division, NHEERL, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA and
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Lee IJ, Jang BK, Lee JW, Son BS, Cheong HK, Ha M, Choi YH, Park M. Association between Metabolic Syndrome and Participation in Clean-up Work at the Hebei Spirit Oil Spill. ACTA ACUST UNITED AC 2015. [DOI: 10.5668/jehs.2015.41.5.335] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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