1
|
He F, Yanosky JD, Bixler EO, Fernandez-Mendoza J, Chinchilli VM, Al-Shaar L, Vgontzas AN, Liao D. Short-term and intermediate-term fine particulate air pollution are synergistically associated with habitual sleep variability in adolescents - A cross-sectional study. ENVIRONMENTAL RESEARCH 2023; 227:115726. [PMID: 36958382 PMCID: PMC10164704 DOI: 10.1016/j.envres.2023.115726] [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: 05/09/2022] [Revised: 03/17/2023] [Accepted: 03/18/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND Both air pollution and poor sleep have been associated with increased risk of cardiovascular diseases. However, the association between air pollution and sleep health, especially among adolescents, is rarely investigated. METHODS To investigate the association between fine particulate (PM2.5) air pollution and habitual sleep patterns, we analyzed data obtained from 246 adolescents who participated in the Penn State Child Cohort follow-up examination. We collected their individual-level 24-h (short-term) PM2.5 concentration by using a portable monitor. We estimated their residential-level PM2.5 concentration during the 60-day period prior to the examination (intermediate-term) using a kriging approach. Actigraphy was used to measure participants' sleep durations for seven consecutive nights. Habitual sleep duration (HSD) and sleep variability (HSV) were calculated as the mean and SD of the seven-night sleep duration. Multivariable-adjusted linear regression models were used to assess the association between PM2.5 exposures and HSD/HSV. An interaction between short-term and intermediate-term PM2.5 was created to explore their synergistic associations with HSD/HSV. RESULTS Elevated short-term and intermediate-term PM2.5 exposure were significantly (p < 0.05) associated with higher HSV, but not HSD. Specifically, the mean (95% CI) increase in HSV associated with 1 SD higher 24-h (26.3 μg/m3) and 60-day average (2.2 μg/m3) PM2.5 were 14.6 (9.4, 14.8) and 4.9 (0.5, 9.2) minutes, respectively. In addition, there was a synergistic interaction (p = 0.08) between short-term and intermediate-term PM2.5 exposure on HSV, indicative that the association between intermediate-term PM2.5 and HSV became stronger as short-term PM2.5 increases, and vice versa. CONCLUSION Short-term individual-level and intermediate-term residential-level PM2.5 exposures are adversely and synergistically associated with increased sleep variability, an indicator of instability of sleep quantity, in adolescents. Through such an association with sleep pattern, PM2.5 air pollution may increase long-term cardiometabolic risks.
Collapse
Affiliation(s)
- Fan He
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA.
| | - Jeff D Yanosky
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Edward O Bixler
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Julio Fernandez-Mendoza
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Vernon M Chinchilli
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Laila Al-Shaar
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Alexandros N Vgontzas
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Duanping Liao
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| |
Collapse
|
2
|
Mohammadian-Khoshnoud M, Habibi H, Manafi B, Safarpour G, Soltanian AR. Effects of Air Pollutant Exposure on Acute Myocardial Infarction. Heart Lung Circ 2023; 32:79-89. [PMID: 36428180 DOI: 10.1016/j.hlc.2022.10.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 10/11/2022] [Accepted: 10/13/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Air pollution is a consequence of industrial development that is exacerbated as a result of population growth, and urbanisation. AIM The goal of the study is to investigate the effects of air pollution on the number of cases of acute myocardial infarction (AMI) according to gender using the Zero-inflated Poisson Regression model in Hamadan, Iran. METHODS The study used an ecological design, and data collected from March 2016 to September 2020 in Hamadan were included. The intended response was the number of cases of AMI recorded in the investigated period. The time lag of the pollutants was used to investigate the effect of air pollution on the number of AMIs. RESULTS The number of AMI recorded for men and women was 1,195 and 553, respectively. The average age (±SD) for men and women was 64.60 (±12.27) and 70.98 (±11.79) years, respectively. According to the air quality index in Hamadan, the values of particulate matter < 2.5 μm (PM2.5), SO2, O3, and CO were below moderate levels. Also, according to NO2 and particulate matter between 25 μm-10 μm (PM10), the air quality index of Hamadan was in the very unhealthy mode just for 2 and 3 days, respectively. The O3 and NO2 are significant positive effects on AMI among men. But, PM2.5, PM10, and SO2 are negative impacts on hospitalisation in men due to AMI. For women, PM2.5 and O3 had positive effects on AMI. But, NO2 and PM10 had a significant negative impact on hospitalisation in women during different time lags. CONCLUSIONS The results of the study showed that if the analyses are based on gender, the responses to pollutants are different and hence the stratified analysis is important.
Collapse
Affiliation(s)
| | - Hossein Habibi
- Department of Environment, College of Basic Sciences, Hamedan Branch, Islamic Azad University, Hamedan, Iran
| | - Babak Manafi
- Department of Heart Surgery, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Gholamreza Safarpour
- Department of Heart Surgery, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ali Reza Soltanian
- Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
| |
Collapse
|
3
|
Luo H, Zhang Q, Niu Y, Kan H, Chen R. Fine particulate matter and cardiorespiratory health in China: A systematic review and meta-analysis of epidemiological studies. J Environ Sci (China) 2023; 123:306-316. [PMID: 36521994 DOI: 10.1016/j.jes.2022.04.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 06/17/2023]
Abstract
This review aimed to systematically summarize the epidemiological literature on the cardiorespiratory effects of PM2.5 published during the 13th Five-Year Plan period (2016-2020) in China. Original articles published between January 1, 2016 and June 30, 2021 were searched in PubMed, Web of Science, the China National Knowledge Internet Database and Wanfang Database. Random- or fixed-effects models were used to pool effect estimates where appropriate. Of 8558 records identified, 145 met the full eligibility criteria. A 10 µg/m³ increase in short-term PM2.5 exposure was significantly associated with increases of 0.70%, 0.86%, 0.38% and 0.96% in cardiovascular mortality, respiratory mortality, cardiovascular morbidity, and respiratory morbidity, respectively. The specific diseases with significant associations included stroke, ischemic heart disease, heart failure, arrhythmia, chronic obstructive pulmonary disease, pneumonia and allergic rhinitis. The pooled estimates per 10 µg/m³ increase in long-term PM2.5 exposure were 15.1%, 11.9% and 21.0% increases in cardiovascular, stroke and lung cancer mortality, and 17.4%, 11.0% and 4.88% increases in cardiovascular, hypertension and lung cancer incidence respectively. Adverse changes in blood pressure, heart rate variability, systemic inflammation, blood lipids, lung function and airway inflammation were observed for either short-term or long-term PM2.5 exposure, or both. Collectively, we summarized representative exposure-response relationships between short- and long-term PM2.5 exposure and a wide range of cardiorespiratory outcomes applicable to China. The magnitudes of estimates were generally smaller in short-term associations and comparable in long-term associations compared with those in developed countries. Our findings are helpful for future standard revisions and policy formulation. There are still some notable gaps that merit further investigation in China.
Collapse
Affiliation(s)
- Huihuan Luo
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yue Niu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, 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, Fudan University, Shanghai 200032, 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, Fudan University, Shanghai 200032, China.
| |
Collapse
|
4
|
He F, Yanosky JD, Fernandez‐Mendoza J, Chinchilli VM, Al‐Shaar L, Vgontzas AN, Bixler EO, Liao D. Acute Impact of Fine Particulate Air Pollution on Cardiac Arrhythmias in a Population‐Based Sample of Adolescents: The Penn State Child Cohort. J Am Heart Assoc 2022; 11:e026370. [DOI: 10.1161/jaha.122.026370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background
Fine particulate (fine particles with aerodynamic diameters ≤2.5 μm [PM
2.5
]) exposure has been associated with a risk of cardiac arrhythmias in adults. However, the association between PM
2.5
exposure and cardiac arrhythmias in adolescents remains unclear.
Methods and Results
To investigate the association and time course between PM
2.5
exposure with cardiac arrhythmias in adolescents, we analyzed the data collected from 322 adolescents who participated in the PSCC (Penn State Child Cohort) follow‐up examination. We obtained individual‐level 24‐hour PM
2.5
concentrations with a nephelometer. Concurrent with the PM
2.5
measure, we obtained 24‐hour ECG data using a Holter monitor, from which cardiac arrhythmias, including premature atrial contractions and premature ventricular contractions (PVCs), were identified. PM
2.5
concentration and numbers of premature atrial contractions/PVCs were summarized into 30‐minute‐based segments. Polynomial distributed lag models within a framework of a negative binomial model were used to assess the effect of PM
2.5
concentration on numbers of premature atrial contractions and PVCs. PM
2.5
exposure was associated with an acute increase in number of PVCs. Specifically, a 10 μg/m
3
increase in PM
2.5
concentration was associated with a 2% (95% CI, 0.4%–3.3%) increase in PVC counts 0.5 to 1.0, 1.0 to 1.5, and 1.5 to 2.0 hours after the exposure. Cumulatively, a 10 μg/m
3
increment in PM
2.5
was associated with a 5% (95% CI, 1%–10%) increase in PVC counts within 2 hours after exposure. PM
2.5
concentration was not associated with premature atrial contraction.
Conclusions
PM
2.5
exposure was associated with an acute increased number of ventricular arrhythmias in a population‐based sample of adolescents. The time course of the effect of PM
2.5
on ventricular arrhythmia is within 2 hours after exposure.
Collapse
Affiliation(s)
- Fan He
- Department of Public Health Sciences Pennsylvania State University College of Medicine Hershey PA
| | - Jeff D. Yanosky
- Department of Public Health Sciences Pennsylvania State University College of Medicine Hershey PA
| | - Julio Fernandez‐Mendoza
- Department of Psychiatry & Behavioral Health, Sleep Research and Treatment Center Pennsylvania State University College of Medicine Hershey PA
| | - Vernon M. Chinchilli
- Department of Public Health Sciences Pennsylvania State University College of Medicine Hershey PA
| | - Laila Al‐Shaar
- Department of Public Health Sciences Pennsylvania State University College of Medicine Hershey PA
| | - Alexandros N. Vgontzas
- Department of Psychiatry & Behavioral Health, Sleep Research and Treatment Center Pennsylvania State University College of Medicine Hershey PA
| | - Edward O. Bixler
- Department of Psychiatry & Behavioral Health, Sleep Research and Treatment Center Pennsylvania State University College of Medicine Hershey PA
| | - Duanping Liao
- Department of Public Health Sciences Pennsylvania State University College of Medicine Hershey PA
| |
Collapse
|
5
|
Pallikadavath S, Vali Z, Patel R, Mavilakandy A, Peckham N, Clegg M, Sandilands AJ, Ng GA. The Influence of Environmental Air Pollution on Ventricular Arrhythmias: A Scoping Review. Curr Cardiol Rev 2022; 18:e160422203685. [PMID: 35430968 PMCID: PMC9893149 DOI: 10.2174/1573403x18666220416203716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 12/07/2021] [Accepted: 01/16/2022] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Exposure to air pollution is a recognised risk factor for cardiovascular disease and has been associated with supraventricular arrhythmias. The effect of air pollution on ventricular arrhythmias is less clear. This scoping review assessed the effects of particulate and gaseous air pollutants on the incidence of ventricular arrhythmias. METHODS MEDLINE and EMBASE databases were searched for studies assessing the effects of air pollutants on ventricular tachycardia and ventricular fibrillation. These pollutants were particulate matter (PM) 2.5, PM10, Nitrogen Dioxide (NO2), Carbon Monoxide (CO), Sulphur Dioxide (SO2), and Ozone (O3). RESULTS This review identified 27 studies: nine in individuals with implantable cardioverter defibrillators, five in those with ischaemic heart disease, and 13 in the general population. Those with ischaemic heart disease appear to have the strongest association with ventricular arrhythmias in both gaseous and particulate pollution, with all three studies assessing the effects of PM2.5 demonstrating some association with ventricular arrythmia. Results in the general and ICD population were less consistent. CONCLUSION Individuals with ischaemic heart disease may be at an increased risk of ventricular arrhythmias following exposure to air pollution.
Collapse
Affiliation(s)
- Susil Pallikadavath
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Zakariyya Vali
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Roshan Patel
- Leicester Medical School, College of Life Sciences, University of Leicester, UK
| | - Akash Mavilakandy
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Nicholas Peckham
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Matt Clegg
- Department of Geography, University of Birmingham, Birmingham, UK
| | - Alastair J. Sandilands
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - G. André Ng
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| |
Collapse
|
6
|
Zhu Q, Xia B, Zhao Y, Dai H, Zhou Y, Wang Y, Yang Q, Zhao Y, Wang P, La X, Shi H, Liu Y, Zhang Y. Predicting gestational personal exposure to PM 2.5 from satellite-driven ambient concentrations in Shanghai. CHEMOSPHERE 2019; 233:452-461. [PMID: 31176908 DOI: 10.1016/j.chemosphere.2019.05.251] [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: 03/12/2019] [Revised: 05/22/2019] [Accepted: 05/27/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND It has been widely reported that gestational exposure to fine particulate matters (PM2.5) is associated with a series of adverse birth outcomes. However, the discrepancy between ambient PM2.5 concentrations and personal PM2.5 exposure would significantly affect the estimation of exposure-response relationship. OBJECTIVE Our study aimed to predict gestational personal exposure to PM2.5 from the satellite-driven ambient concentrations and analyze the influence of other potential determinants. METHOD We collected 762 72-h personal exposure samples from a panel of 329 pregnant women in Shanghai, China as well as their time-activity patterns from Feb 2017 to Jun 2018. We established an ambient PM2.5 model based on MAIAC AOD at 1 km resolution, then used its output as a major predictor to develop a personal exposure model. RESULTS Our ambient PM2.5 model yielded a cross-validation R2 of 0.96. Personal PM2.5 exposure levels were almost identical to the corresponding ambient concentrations. After adjusting for time-activity patterns and meteorological factors, our personal exposure has a CV R2 of 0.76. CONCLUSION We established a prediction model for gestational personal exposure to PM2.5 from satellite-based ambient concentrations and provided a methodological reference for further epidemiological studies.
Collapse
Affiliation(s)
- Qingyang Zhu
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Bin Xia
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Yingya Zhao
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Haixia Dai
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
| | - Yuhan Zhou
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Ying Wang
- Songjiang Maternity & Child Health Hospital, Shanghai, 201600, China
| | - Qing Yang
- Songjiang Maternity & Child Health Institute, Shanghai, 201600, China
| | - Yan Zhao
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 200126, China
| | - Pengpeng Wang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Xuena La
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Huijing Shi
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Yang Liu
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.
| | - Yunhui Zhang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China.
| |
Collapse
|
7
|
Fisher JA, Puett RC, Laden F, Wellenius GA, Sapkota A, Liao D, Yanosky JD, Carter-Pokras O, He X, Hart JE. Case-crossover analysis of short-term particulate matter exposures and stroke in the health professionals follow-up study. ENVIRONMENT INTERNATIONAL 2019; 124:153-160. [PMID: 30641259 PMCID: PMC6692897 DOI: 10.1016/j.envint.2018.12.044] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 12/16/2018] [Accepted: 12/19/2018] [Indexed: 05/20/2023]
Abstract
BACKGROUND Stroke is a leading cause of morbidity and mortality in the United States. Associations between short-term exposures to particulate matter (PM) air pollution and stroke are inconsistent. Many prior studies have used administrative and hospitalization databases where misclassification of the type and timing of the stroke event may be problematic. METHODS In this case-crossover study, we used a nationwide kriging model to examine short-term ambient exposure to PM10 and PM2.5 and risk of ischemic and hemorrhagic stroke among men enrolled in the Health Professionals Follow-up Study. Conditional logistic regression models were used to obtain estimates of odds ratios (OR) and 95% confidence intervals (CI) associated with an interquartile range (IQR) increase in PM2.5 or PM10. Lag periods up to 3 days prior to the stroke event were considered in addition to a 4-day average. Stratified models were used to examine effect modification by patient characteristics. RESULTS Of the 727 strokes that occurred between 1999 and 2010, 539 were ischemic and 122 were hemorrhagic. We observed positive statistically significant associations between PM10 and ischemic stroke (ORlag0-3 = 1.26; 95% CI: 1.03-1.55 per IQR increase [14.46 μg/m3]), and associations were elevated for nonsmokers, aspirin nonusers, and those without a history of high cholesterol. However, we observed no evidence of a positive association between short-term exposure to PM and hemorrhagic stroke or between PM2.5 and ischemic stroke in this cohort. CONCLUSIONS Our study provides evidence that ambient PM10 may be associated with higher risk of ischemic stroke and highlights that ischemic and hemorrhagic strokes are heterogeneous outcomes that should be treated as such in analyses related to air pollution.
Collapse
Affiliation(s)
- Jared A Fisher
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA; Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA.
| | - Robin C Puett
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, 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
| | - Gregory A Wellenius
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Amir Sapkota
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Duanping Liao
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Jeff D Yanosky
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Olivia Carter-Pokras
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA
| | - Xin He
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, 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
| |
Collapse
|
8
|
Napier MD, Franceschini N, Gondalia R, Stewart JD, Méndez-Giráldez R, Sitlani CM, Seyerle AA, Highland HM, Li Y, Wilhelmsen KC, Yan S, Duan Q, Roach J, Yao J, Guo X, Taylor KD, Heckbert SR, Rotter JI, North KE, Reiner AP, Zhang ZM, Tinker LF, Liao D, Laurie CC, Gogarten SM, Lin HJ, Brody JA, Bartz TM, Psaty BM, Sotoodehnia N, Soliman EZ, Avery CL, Whitsel EA. Genome-wide association study and meta-analysis identify loci associated with ventricular and supraventricular ectopy. Sci Rep 2018; 8:5675. [PMID: 29618737 PMCID: PMC5884864 DOI: 10.1038/s41598-018-23843-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 03/09/2018] [Indexed: 01/03/2023] Open
Abstract
The genetic basis of supraventricular and ventricular ectopy (SVE, VE) remains largely uncharacterized, despite established genetic mechanisms of arrhythmogenesis. To identify novel genetic variants associated with SVE/VE in ancestrally diverse human populations, we conducted a genome-wide association study of electrocardiographically identified SVE and VE in five cohorts including approximately 43,000 participants of African, European and Hispanic/Latino ancestry. In thirteen ancestry-stratified subgroups, we tested multivariable-adjusted associations of SVE and VE with single nucleotide polymorphism (SNP) dosage. We combined subgroup-specific association estimates in inverse variance-weighted, fixed-effects and Bayesian meta-analyses. We also combined fixed-effects meta-analytic t-test statistics for SVE and VE in multi-trait SNP association analyses. No loci reached genome-wide significance in trans-ethnic meta-analyses. However, we found genome-wide significant SNPs intronic to an apoptosis-enhancing gene previously associated with QRS interval duration (FAF1; lead SNP rs7545860; effect allele frequency = 0.02; P = 2.0 × 10−8) in multi-trait analysis among European ancestry participants and near a locus encoding calcium-dependent glycoproteins (DSC3; lead SNP rs8086068; effect allele frequency = 0.17) in meta-analysis of SVE (P = 4.0 × 10−8) and multi-trait analysis (P = 2.9 × 10−9) among African ancestry participants. The novel findings suggest several mechanisms by which genetic variation may predispose to ectopy in humans and highlight the potential value of leveraging pleiotropy in future studies of ectopy-related phenotypes.
Collapse
Affiliation(s)
- Melanie D Napier
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA.
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Rahul Gondalia
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - James D Stewart
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA.,Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - Raúl Méndez-Giráldez
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Colleen M Sitlani
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Amanda A Seyerle
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Heather M Highland
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.,Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.,Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - Kirk C Wilhelmsen
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.,Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Song Yan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.,Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - Qing Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Jeffrey Roach
- Research Computing Center, University of North Carolina, Chapel Hill, NC, USA
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, USA.,Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, USA.,Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, USA.,Division of Genomic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Susan R Heckbert
- Cardiovascular Health Research Unit and the Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, USA.,Division of Genomic Outcomes, Departments of Pediatrics and Medicine, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Kari E North
- Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA.,Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
| | - Alexander P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Zhu-Ming Zhang
- Epidemiological Cardiology Research Center, Department of Epidemiology and Prevention, Wake Forest University, Winston-Salem, NC, USA
| | - Lesley F Tinker
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Duanping Liao
- Department of Public Health Sciences, Penn State University College of Medicine, Hershey, PA, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Henry J Lin
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, USA.,Division of Medical Genetics, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Jennifer A Brody
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA.,Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Nona Sotoodehnia
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA.,Cardiovascular Health Research Unit and the Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Elsayed Z Soliman
- Department of Epidemiology, School of Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Christy L Avery
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA.,Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA. .,Department of Medicine, University of North Carolina, Chapel Hill, NC, USA.
| |
Collapse
|
9
|
Gondalia R, Avery CL, Napier MD, Méndez-Giráldez R, Stewart JD, Sitlani CM, Li Y, Wilhelmsen KC, Duan Q, Roach J, North KE, Reiner AP, Zhang ZM, Tinker LF, Yanosky JD, Liao D, Whitsel EA. Genome-wide Association Study of Susceptibility to Particulate Matter-Associated QT Prolongation. ENVIRONMENTAL HEALTH PERSPECTIVES 2017; 125:067002. [PMID: 28749367 PMCID: PMC5714283 DOI: 10.1289/ehp347] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 09/07/2016] [Accepted: 09/19/2016] [Indexed: 05/02/2023]
Abstract
BACKGROUND Ambient particulate matter (PM) air pollution exposure has been associated with increases in QT interval duration (QT). However, innate susceptibility to PM-associated QT prolongation has not been characterized. OBJECTIVE To characterize genetic susceptibility to PM-associated QT prolongation in a multi-racial/ethnic, genome-wide association study (GWAS). METHODS Using repeated electrocardiograms (1986–2004), longitudinal data on PM<10 μm in diameter (PM10), and generalized estimating equations methods adapted for low-prevalence exposure, we estimated approximately 2.5×106 SNP×PM10 interactions among nine Women’s Health Initiative clinical trials and Atherosclerosis Risk in Communities Study subpopulations (n=22,158), then combined subpopulation-specific results in a fixed-effects, inverse variance-weighted meta-analysis. RESULTS A common variant (rs1619661; coded allele: T) significantly modified the QT-PM10 association (p=2.11×10−8). At PM10 concentrations >90th percentile, QT increased 7 ms across the CC and TT genotypes: 397 (95% confidence interval: 396, 399) to 404 (403, 404) ms. However, QT changed minimally across rs1619661 genotypes at lower PM10 concentrations. The rs1619661 variant is on chromosome 10, 132 kilobase (kb) downstream from CXCL12, which encodes a chemokine, stromal cell-derived factor 1, that is expressed in cardiomyocytes and decreases calcium influx across the L-type Ca2+ channel. CONCLUSIONS The findings suggest that biologically plausible genetic factors may alter susceptibility to PM10-associated QT prolongation in populations protected by the U.S. Environmental Protection Agency’s National Ambient Air Quality Standards. Independent replication and functional characterization are necessary to validate our findings. https://doi.org/10.1289/EHP347
Collapse
Affiliation(s)
- Rahul Gondalia
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Christy L Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Melanie D Napier
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Raúl Méndez-Giráldez
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - James D Stewart
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
- Carolina Population Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, USA
| | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Kirk C Wilhelmsen
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
- The Renaissance Computing Institute, Chapel Hill, North Carolina, USA
| | - Qing Duan
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jeffrey Roach
- Research Computing Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Alexander P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Zhu-Ming Zhang
- Epidemiologic Cardiology Research Center, Dept. of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Lesley F Tinker
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Jeff D Yanosky
- Division of Epidemiology, Dept. of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Duanping Liao
- Division of Epidemiology, Dept. of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Eric A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
| |
Collapse
|
10
|
O’Neal WT, Soliman EZ, Efird JT, Judd SE, Howard VJ, Howard G, McClure LA. Fine particulate air pollution and premature atrial contractions: The REasons for Geographic And Racial Differences in Stroke study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2017; 27:271-275. [PMID: 27649843 PMCID: PMC5457811 DOI: 10.1038/jes.2016.46] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2016] [Accepted: 05/26/2016] [Indexed: 05/03/2023]
Abstract
Several reports have suggested that particulate matter (PM) exposure increases the risk for atrial arrhythmias. However, data from large-scale epidemiologic studies supporting this hypothesis are lacking. We examined the association of PM <2.5 μm in diameter (PM2.5) concentration with premature atrial contractions (PACs) in 26,609 (mean age=65±9.4 years; 55% female; 41% black) participants from the REGARDS (REasons for Geographic And Racial Differences in Stroke) study. Estimates of short- (2 weeks) and long-term (1 year) PM2.5 exposure were computed before each participant's baseline visit using geographic information system data on the individual level at the coordinates of study participants' residences. PACs were identified from baseline electrocardiograms. A total of 2140 (8.2%) participants had evidence of PACs on the baseline electrocardiogram. Short-term PM2.5 (per 10 μg/m3) exposure was not associated with PACs (OR=1.09, 95% CI=0.98, 1.23). Increases in long-term PM2.5 (per 10 μg/m3) were associated with PACs (OR=1.40, 95% CI=1.10, 1.78). Interactions were not detected for short- and long-term PM2.5 exposure by age, sex, or race. Long- but not short-term PM2.5 exposure is associated with PACs. This suggests a role for long-term PM2.5 exposure in initiating supraventricular arrhythmias that are triggered by PACs.
Collapse
Affiliation(s)
- Wesley T. O’Neal
- Department of Medicine, Division of Cardiology, Emory University
School of Medicine, Atlanta, GA
| | - Elsayed Z. Soliman
- Department of Medicine, Section on Cardiology, Wake Forest School of
Medicine, Winston-Salem, NC
- Epidemiological Cardiology Research Center (EPICARE), Department of
Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jimmy T. Efird
- Department of Cardiovascular Sciences, East Carolina Heart
Institute, Brody School of Medicine, East Carolina University, Greenville, NC
| | - Suzanne E. Judd
- Department of Biostatistics, School of Public Health, University of
Alabama at Birmingham, Birmingham, AL
| | - Virginia J. Howard
- Department of Epidemiology, School of Public Health, University of
Alabama at Birmingham, Birmingham, AL
| | - George Howard
- Department of Biostatistics, School of Public Health, University of
Alabama at Birmingham, Birmingham, AL
| | - Leslie A. McClure
- Department of Epidemiology and Biostatistics, Dornsife School of
Public Health, Drexel University, Philadelphia, PA
| |
Collapse
|
11
|
O'Neal WT, Soliman EZ, Efird JT, Howard VJ, Howard G, McClure LA. Fine particulate air pollution and premature ventricular contractions: The REasons for Geographic And Racial Differences in Stroke (REGARDS) Study. ENVIRONMENTAL RESEARCH 2017; 154:115-119. [PMID: 28061370 PMCID: PMC5354125 DOI: 10.1016/j.envres.2016.12.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Revised: 12/26/2016] [Accepted: 12/27/2016] [Indexed: 06/01/2023]
Abstract
BACKGROUND It is unknown if higher levels of ambient particulate matter (PM) exposure increase the risk for premature ventricular contractions (PVC) in a population-based study of men and women, and if this relationship varies by race or sex. METHODS We examined the association of PM <2.5µm in diameter (PM2.5) concentration with PVCs in 26,121 (mean age=64±9.3 years; 55% female; 41% black) participants from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Estimates of short- (2-week) and long-term (1-year) PM2.5 exposures were computed prior to the baseline visit using geographic information system data on the individual level at the coordinates of study participants' residences. PVCs were identified from baseline electrocardiograms. RESULTS PVCs were detected in 1719 (6.6%) study participants. Short- (OR=1.08, 95%CI=1.03, 1.14) and long- (OR=1.06, 95%CI=1.01, 1.12) term PM2.5 exposures were associated with PVCs. Interactions were not detected by race or sex. An interaction between short-term PM2.5 exposure and PVCs was detected for those with cardiovascular disease (OR=1.16, 95%CI=1.06, 1.27) compared with those without cardiovascular disease (OR=1.05, 95%CI=0.99, 1.12; p-interaction=0.027). CONCLUSION Our findings suggest that PM2.5 exposure is associated with an increased risk for PVCs in a biracial population-based study of men and women. We also have identified persons with cardiovascular disease as an at-risk population for PVCs when increases in short-term PM2.5 concentration occur.
Collapse
Affiliation(s)
- Wesley T O'Neal
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
| | - Elsayed Z Soliman
- Department of Medicine, Section on Cardiology, Wake Forest School of Medicine, Winston-Salem, NC, USA; Epidemiological Cardiology Research Center (EPICARE), Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jimmy T Efird
- Department of Cardiovascular Sciences, East Carolina Heart Institute, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - George Howard
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Leslie A McClure
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| |
Collapse
|
12
|
Cavallari JM, Fang SC, Eisen EA, Mittleman MA, Christiani DC. Environmental and occupational particulate matter exposures and ectopic heart beats in welders. Occup Environ Med 2016; 73:435-41. [PMID: 27052768 DOI: 10.1136/oemed-2015-103256] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2015] [Accepted: 03/18/2016] [Indexed: 11/03/2022]
Abstract
OBJECTIVES Links between arrhythmias and particulate matter exposures have been found among sensitive populations. We examined the relationship between personal particulate matter ≤2.5 µm aerodynamic diameter (PM2.5) exposures and ectopy in a panel study of healthy welders. METHODS Simultaneous ambulatory ECG and personal PM2.5 exposure monitoring with DustTrak Aerosol Monitor was performed on 72 males during work and non-work periods for 5-90 h (median 40 h). ECGs were summarised hourly for supraventricular ectopy (SVE) and ventricular ectopy (VE). PM2.5 exposures both work and non-work periods were averaged hourly with lags from 0 to 7 h. Generalised linear mixed-effects models with a random participant intercept were used to examine the relationship between PM2.5 exposure and the odds of SVE or VE. Sensitivity analyses were performed to assess whether relationships differed by work period and among current smokers. RESULTS Participants had a mean (SD) age of 38 (11) years and were monitored over 2993 person-hours. The number of hourly ectopic events was highly skewed with mean (SD) of 14 (69) VE and 1 (4) SVE. We found marginally significant increases in VE with PM2.5 exposures in the sixth and seventh hour lags, yet no association with SVE. For every 100 μg/m(3) increase in sixth hour lagged PM2.5, the adjusted OR (95% CI) for VE was 1.03 (1.00 to 1.05). Results persisted in work or non-work exposure periods and non-smokers had increased odds of VE associated with PM2.5 as compared with smokers. CONCLUSIONS A small increase in the odds of VE with short-term PM2.5 exposure was observed among relatively healthy men with environmental and occupational exposures.
Collapse
Affiliation(s)
- Jennifer M Cavallari
- Division of Occupational and Environmental Medicine, UConn Health Center, Farmington, Connecticut, USA Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Shona C Fang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Ellen A Eisen
- School of Public Health, University of California, Berkeley, California, USA
| | - Murray A Mittleman
- Cardiovascular Epidemiology Research Unit, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA Massachusetts General Hospital, Boston, Massachusetts, USA
| |
Collapse
|
13
|
Huang CC, Wen HJ, Chen PC, Chiang TL, Lin SJ, Guo YL. Prenatal air pollutant exposure and occurrence of atopic dermatitis. Br J Dermatol 2015. [PMID: 26202732 DOI: 10.1111/bjd.14039] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Hereditary and environmental factors have been related to the occurrence of atopic dermatitis (AD) in early childhood. However, the role of prenatal and early postnatal exposure to air pollutants has not been totally elucidated. OBJECTIVES To evaluate the association between prenatal air pollutant exposure and occurrence of AD. METHODS In total 24 200 infant-mother pairs were recruited to participate in the Taiwan Birth Cohort Study in 2005 using multistage stratified sampling. Medical history, including physician-diagnosed AD, was inquired by questionnaire at the infant's age of 6 months. Monthly averages of five criteria air pollutants - NO2 , CO, O3 , SO2 and PM10 - were retrieved from 66 air-quality-monitoring stations, and interpolated to all administrative districts using the kriging method. Exposure data during each of the three gestational trimesters and three months after birth were calculated for each study subject, and odds ratios (ORs) of AD occurrence were calculated by logistic regression. RESULTS Among the participants, 16 686 mother-infant pairs were qualified for and included in the analysis. Among them, 1206 infants (7·2%) had been diagnosed as having AD before the age of 6 months, and the prevalence was higher in boys (8·3%) than in girls (6·1%). The occurrence of AD was significantly associated with CO exposure during the whole gestational period [adjusted OR (aOR) 1·37, 95% confidence interval (CI) 1·06-1·78] and the first trimester (aOR 1·51, 95% CI 1·16-1·97). We did not observe any significant association among the other air pollutants during either the whole gestational period or any period of the three trimesters and 3 months after birth. CONCLUSIONS Our study found a relationship between AD occurrence and gestational exposure to CO, where exposure during the first trimester seemed to be the most important.
Collapse
Affiliation(s)
- C C Huang
- Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University, Taipei, Taiwan.,Department of Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
| | - H J Wen
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - P C Chen
- Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University, Taipei, Taiwan.,Department of Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
| | - T L Chiang
- Institute of Health Policy and Management, National Taiwan University, Taipei, Taiwan
| | - S J Lin
- Department of Pediatrics, Chi Mei Hospital, Tainan, Taiwan
| | - Y L Guo
- Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University, Taipei, Taiwan.,Department of Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
| |
Collapse
|
14
|
Pan A, Clark ML, Ang LW, Yu MC, Yuan JM, Koh WP. Incense use and cardiovascular mortality among Chinese in Singapore: the Singapore Chinese Health Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2014; 122:1279-84. [PMID: 25127437 PMCID: PMC4256695 DOI: 10.1289/ehp.1307662] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2013] [Accepted: 08/13/2014] [Indexed: 05/16/2023]
Abstract
BACKGROUND Incense burning is common in many parts of the world. Although it is perceived that particulate matter from incense smoke is deleterious to health, there is no epidemiologic evidence linking domestic exposure to cardiovascular mortality. OBJECTIVE We examined the association between exposure to incense burning and cardiovascular mortality in the Singapore Chinese Health Study. METHODS We enrolled a total of 63,257 Singapore Chinese 45-74 years of age during 1993-1998. All participants were interviewed in person to collect information about lifestyle behaviors, including the practice of burning incense at home. We identified cardiovascular deaths via record linkage with the nationwide death registry through 31 December 2011. RESULTS In this cohort, 76.9% were current incense users, and most of the current users (89.9%) had burned incense daily for ≥ 20 years. Relative to noncurrent users, current users had a 12% higher risk of cardiovascular mortality [multivariable adjusted hazard ratio (HR) = 1.12; 95% CI: 1.04, 1.20]. The HR was 1.19 (95% CI: 1.03, 1.37) for mortality due to stroke and 1.10 (95% CI: 1.00, 1.21) for mortality due to coronary heart disease. The association between current incense use and cardiovascular mortality appeared to be limited to participants without a history of cardiovascular disease at baseline (HR = 1.16; 95% CI: 1.07, 1.26) but not linked to those with a history (HR = 1.00; 95% CI: 0.86, 1.17). In addition, the association was stronger in never-smokers (HR = 1.12; 95% CI: 1.02, 1.23) and former smokers (HR = 1.19; 95% CI: 1.00, 1.42) than in current smokers (HR = 1.05; 95% CI: 0.91, 1.22). CONCLUSIONS Long-term exposure to incense burning in the home environment was associated with an increased risk of cardiovascular mortality in the study population.
Collapse
Affiliation(s)
- An Pan
- Saw Swee Hock School of Public Health, and
| | | | | | | | | | | |
Collapse
|
15
|
Holliday KM, Avery CL, Poole C, McGraw K, Williams R, Liao D, Smith RL, Whitsel EA. Estimating personal exposures from ambient air pollution measures: using meta-analysis to assess measurement error. Epidemiology 2014; 25:35-43. [PMID: 24220191 PMCID: PMC3973436 DOI: 10.1097/ede.0000000000000006] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Although ambient concentrations of particulate matter ≤10 μm (PM10) are often used as proxies for total personal exposure, correlation (r) between ambient and personal PM10 concentrations varies. Factors underlying this variation and its effect on health outcome-PM exposure relationships remain poorly understood. METHODS We conducted a random-effects meta-analysis to estimate effects of study, participant, and environmental factors on r; used the estimates to impute personal exposure from ambient PM10 concentrations among 4,012 nonsmoking, participants with diabetes in the Women's Health Initiative clinical trial; and then estimated the associations of ambient and imputed personal PM10 concentrations with electrocardiographic measures, such as heart rate variability. RESULTS We identified 15 studies (in years 1990-2009) of 342 participants in five countries. The median r was 0.46 (range = 0.13 to 0.72). There was little evidence of funnel plot asymmetry but substantial heterogeneity of r, which increased 0.05 (95% confidence interval = 0.01 to 0.09) per 10 µg/m increase in mean ambient PM10 concentration. Substituting imputed personal exposure for ambient PM10 concentrations shifted mean percent changes in electrocardiographic measures per 10 µg/m increase in exposure away from the null and decreased their precision, for example, -2.0% (-4.6% to 0.7%) versus -7.9% (-15.9% to 0.9%), for the standard deviation of normal-to-normal RR interval duration. CONCLUSIONS Analogous distributions and heterogeneity of r in extant meta-analyses of ambient and personal PM2.5 concentrations suggest that observed shifts in mean percent change and decreases in precision may be generalizable across particle size.
Collapse
Affiliation(s)
- Katelyn M Holliday
- From the aDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC; bHealth Sciences Library, University of North Carolina, Chapel Hill, NC; cUnited States Environmental Protection Agency, Research Triangle Park, Durham, NC; dDepartment of Public Health Sciences, Pennsylvania State University, Hershey, PA; eStatistical and Mathematical Sciences Institute, Research Triangle Park, Durham, NC; fDepartment of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC; and gDepartment of Medicine, University of North Carolina, Chapel Hill, NC
| | | | | | | | | | | | | | | |
Collapse
|
16
|
Koton S, Molshatzki N, Yuval, Myers V, Broday DM, Drory Y, Steinberg DM, Gerber Y. Cumulative exposure to particulate matter air pollution and long-term post-myocardial infarction outcomes. Prev Med 2013; 57:339-44. [PMID: 23777671 DOI: 10.1016/j.ypmed.2013.06.009] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2013] [Revised: 06/03/2013] [Accepted: 06/06/2013] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Chronic environmental exposure to particulate matter <2.5μm in diameter (PM2.5) has been associated with cardiovascular disease; however, the effect of air pollution on myocardial infarction (MI) survivors is not clear. We studied the association of chronic exposure to PM2.5 with death and recurrent cardiovascular events in MI survivors. METHODS Consecutive patients aged ≤65years admitted to all medical centers in central Israel after first-MI in 1992-1993 were followed through 2005 for cardiovascular events and 2011 for survival. Data on sociodemographic and prognostic factors were collected at baseline and during follow-up. Residential exposure to PM2.5 was estimated for each patient based on data recorded at air quality monitoring stations. Cox and Andersen-Gill proportional hazards models were used to study the pollution-outcome association. RESULTS Among the 1120 patients, 469 (41.9%) died and 541 (48.3%) experienced one or more recurrent cardiovascular event. The adjusted hazard ratios associated with a 10μg/m(3) increase in PM2.5 exposure were 1.3 (95% CI 0.8-2.1) for death and 1.5 (95% CI 1.1-1.9) for multiple recurrences of cardiovascular events (MI, heart failure and stroke). CONCLUSION When adjustment for socio-demographic factors is performed, cumulative chronic exposure to PM2.5 is positively associated with recurrence of cardiovascular events in patients after a first MI.
Collapse
Affiliation(s)
- Silvia Koton
- School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | | | | | | | | | | | | | | |
Collapse
|
17
|
Meng Q, Richmond-Bryant J, Lu SE, Buckley B, Welsh WJ, Whitsel EA, Hanna A, Yeatts KB, Warren J, Herring AH, Xiu A. Cardiovascular outcomes and the physical and chemical properties of metal ions found in particulate matter air pollution: a QICAR study. ENVIRONMENTAL HEALTH PERSPECTIVES 2013; 121:558-64. [PMID: 23462649 PMCID: PMC3673192 DOI: 10.1289/ehp.1205793] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2012] [Accepted: 03/04/2013] [Indexed: 05/04/2023]
Abstract
BACKGROUND This paper presents an application of quantitative ion character-activity relationships (QICAR) to estimate associations of human cardiovascular (CV) diseases (CVDs) with a set of metal ion properties commonly observed in ambient air pollutants. QICAR has previously been used to predict ecotoxicity of inorganic metal ions based on ion properties. OBJECTIVES The objective of this work was to examine potential associations of biological end points with a set of physical and chemical properties describing inorganic metal ions present in exposures using QICAR. METHODS Chemical and physical properties of 17 metal ions were obtained from peer-reviewed publications. Associations of cardiac arrhythmia, myocardial ischemia, myocardial infarction, stroke, and thrombosis with exposures to metal ions (measured as inference scores) were obtained from the Comparative Toxicogenomics Database (CTD). Robust regressions were applied to estimate the associations of CVDs with ion properties. RESULTS CVD was statistically significantly associated (Bonferroni-adjusted significance level of 0.003) with many ion properties reflecting ion size, solubility, oxidation potential, and abilities to form covalent and ionic bonds. The properties are relevant for reactive oxygen species (ROS) generation, which has been identified as a possible mechanism leading to CVDs. CONCLUSION QICAR has the potential to complement existing epidemiologic methods for estimating associations between CVDs and air pollutant exposures by providing clues about the underlying mechanisms that may explain these associations.
Collapse
Affiliation(s)
- Qingyu Meng
- School of Public Health, University of Medicine and Dentistry of New Jersey, Piscataway, New Jersey, USA
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
18
|
Watkins A, Danilewitz M, Kusha M, Massé S, Urch B, Quadros K, Spears D, Farid T, Nanthakumar K. Air pollution and arrhythmic risk: the smog is yet to clear. Can J Cardiol 2012; 29:734-41. [PMID: 23219609 DOI: 10.1016/j.cjca.2012.09.005] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2011] [Revised: 09/11/2012] [Accepted: 09/11/2012] [Indexed: 11/24/2022] Open
Abstract
Epidemiologic evidence has demonstrated that air pollution may impair cardiovascular health, leading to potentially life-threatening arrhythmias. Efforts have been made, with the use of epidemiologic data and controlled exposures in diverse animal and human populations, to verify the relationship between air pollution and arrhythmias. The purpose of this review is to examine and contrast the epidemiologic and toxicologic evidence to date that relates airborne pollutants with cardiac arrhythmia. We have explored the potential biological mechanisms driving this association. Using the PubMed database, we conducted a literature search that included the terms "air pollution" and "arrhythmia" and eventually divergent synonyms such as "particulate matter," "bradycardia," and "atrial fibrillation." We reviewed epidemiologic studies and controlled human and animal exposures independently to determine whether observational conclusions were corroborated by toxicologic results. Numerous pollutants have demonstrated some arrhythmic capacity among healthy and health-compromised populations. However, some exposure studies have shown no significant correlation of air pollutants with arrhythmia, which suggests some uncertainty about the arrhythmogenic potential of air pollution and the mechanisms involved in arrhythmogenesis. While data from an increasing number of controlled exposures with human volunteers suggest a potential mechanistic link between air pollution and altered cardiac electrophysiology, definite conclusions regarding air pollution and arrhythmia are elusive as the direct arrhythmic effects of air pollutants are not entirely consistent across all studies.
Collapse
Affiliation(s)
- Alex Watkins
- Department of Environmental Services, University of Waterloo, Ontario, Canada
| | | | | | | | | | | | | | | | | |
Collapse
|
19
|
Akita Y, Chen JC, Serre ML. The moving-window Bayesian maximum entropy framework: estimation of PM(2.5) yearly average concentration across the contiguous United States. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2012; 22:496-501. [PMID: 22739679 PMCID: PMC3601029 DOI: 10.1038/jes.2012.57] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2011] [Accepted: 04/23/2012] [Indexed: 05/20/2023]
Abstract
Geostatistical methods are widely used in estimating long-term exposures for epidemiological studies on air pollution, despite their limited capabilities to handle spatial non-stationarity over large geographic domains and the uncertainty associated with missing monitoring data. We developed a moving-window (MW) Bayesian maximum entropy (BME) method and applied this framework to estimate fine particulate matter (PM(2.5)) yearly average concentrations over the contiguous US. The MW approach accounts for the spatial non-stationarity, while the BME method rigorously processes the uncertainty associated with data missingness in the air-monitoring system. In the cross-validation analyses conducted on a set of randomly selected complete PM(2.5) data in 2003 and on simulated data with different degrees of missing data, we demonstrate that the MW approach alone leads to at least 17.8% reduction in mean square error (MSE) in estimating the yearly PM(2.5). Moreover, the MWBME method further reduces the MSE by 8.4-43.7%, with the proportion of incomplete data increased from 18.3% to 82.0%. The MWBME approach leads to significant reductions in estimation error and thus is recommended for epidemiological studies investigating the effect of long-term exposure to PM(2.5) across large geographical domains with expected spatial non-stationarity.
Collapse
Affiliation(s)
- Yasuyuki Akita
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Jiu-Chiuan Chen
- Division of Environmental Health, Department of Preventive Medicine, University of Southern California Keck School of Medicine
| | - Marc L. Serre
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
- Corresponding author Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1303 Michael Hooker Research Center, Chapel Hill, NC 27599-7431 Phone: (919) 966 7014, Fax: (919) 966 7911
| |
Collapse
|
20
|
Mieczkowska J, Mosiewicz J, Sak J, Grzybowski A, Terlecki P, Barud W, Kwaśniewski W, Tutka P. Effects of cigarette smoking, metabolic syndrome and dehydroepiandrosterone deficiency on intima-media thickness and endothelial function in hypertensive postmenopausal women. Med Sci Monit 2012; 18:CR225-34. [PMID: 22460094 PMCID: PMC3560833 DOI: 10.12659/msm.882622] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Background Cigarette smoking is a major risk factor of atherosclerosis. The aim of this study was to assess the relationship between smoking and arterial hypertension as well as endothelial dysfunction in postmenopausal women without clinically manifested symptoms of atherosclerosis. Material/Methods The study groups consisted of 35 current smokers and 45 nonsmokers. The thickness of intima-media complex (IMT), a marker of atherosclerosis, was measured in carotid arteries. Plasma concentrations of fasting glucose, insulin, lipoproteins, inflammatory markers (tumor necrosis factor-alpha, intercellular adhesion molecule-1), matrix metalloproteinases (metalloproteinase-9, tissue inhibitor of metalloproteinase-1), insulin, and dehydroepiandrosterone sulfate (DHEA-S) were measured. Results Smokers compared with nonsmokers showed lower fasting glucose levels in blood (87.0±10.9 and 93.2±13.6 mg/dl, p<0.05), higher mean systolic (131.1±15.9 vs. 123.0±10.9 mm Hg, p<0.05) and diastolic (81.7±11.4 vs. 75.2±9.2 mm Hg, p<0.05) blood pressure during daytime, and higher average heart rate during the daytime (78.2±9.3/min vs. 71.5±9.5/min, p<0.01) and at night (67.2±10.6/min vs. 61.7±7.7/min, p<0.05), respectively. The IMT in the right carotid artery was significantly higher in smokers than in nonsmokers (0.96±0.16 mm vs. 0.82±0.21, p<0.05) and was positively correlated with smoking intensity (R=0.36) and habit duration (R=0.35). The comparison of inflammatory markers, metalloproteinases, and DHEA-S concentrations in plasma did not reveal significant differences between the 2 groups. A significant negative correlation between DHEA-S concentration in plasma and IMT in right carotid artery was found in smokers. Conclusions Smoking in hypertensive postmenopausal women is associated with lower fasting blood glucose and BMI values, but higher arterial pressure and heart rate, and increases in IMT in right carotid artery.
Collapse
Affiliation(s)
- Jolanta Mieczkowska
- Department of Internal Medicine, Medical University of Lublin, Lublin, Poland
| | | | | | | | | | | | | | | |
Collapse
|
21
|
Ghio AJ, Bassett M, Montilla T, Chung EH, Smith CB, Cascio WE, Carraway MS. Case report: supraventricular arrhythmia after exposure to concentrated ambient air pollution particles. ENVIRONMENTAL HEALTH PERSPECTIVES 2012; 120:275-7. [PMID: 21896397 PMCID: PMC3279446 DOI: 10.1289/ehp.1103877] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2011] [Accepted: 09/06/2011] [Indexed: 05/15/2023]
Abstract
CONTEXT Exposure to air pollution can result in the onset of arrhythmias. CASE PRESENTATION We present a case of a 58-year-old woman who volunteered to participate in a controlled exposure to concentrated ambient particles. Twenty minutes into the exposure, telemetry revealed new onset of atrial fibrillation. The exposure was discontinued, and she reverted to normal sinus rhythm approximately 2 hr later. No abnormality was evident on the volunteer's laboratory examination or echocardiography that could explain an increased risk for supraventricular arrhythmia. DISCUSSION Epidemiologic evidence strongly supports a relationship between exposure to air pollutants and cardiovascular disease, but population-level data are not directly relevant to the clinical presentation of individual cases. To our knowledge, this is the only case report of an individual suffering an episode of atrial fibrillation after exposure to an air pollutant. The resolution of the arrhythmia with termination of the particle exposure further supports a causal relationship between the two. RELEVANCE TO CLINICAL PRACTICE Exposure to air pollution, including particulate matter, may cause supraventricular arrhythmias.
Collapse
Affiliation(s)
- Andrew J Ghio
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Chapel Hill, North Carolina, USA.
| | | | | | | | | | | | | |
Collapse
|
22
|
He F, Shaffer ML, Rodriguez-Colon S, Yanosky JD, Bixler E, Cascio WE, Liao D. Acute effects of fine particulate air pollution on cardiac arrhythmia: the APACR study. ENVIRONMENTAL HEALTH PERSPECTIVES 2011; 119:927-32. [PMID: 21398201 PMCID: PMC3222979 DOI: 10.1289/ehp.1002640] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2010] [Accepted: 03/11/2011] [Indexed: 05/19/2023]
Abstract
BACKGROUND The mechanisms underlying the relationship between particulate matter (PM) air pollution and cardiac disease are not fully understood. OBJECTIVES We examined the effects and time course of exposure to fine PM [aerodynamic diameter ≤ 2.5 μm (PM(2.5))] on cardiac arrhythmia in 105 middle-age community-dwelling healthy nonsmokers in central Pennsylvania. METHODS The 24-hr beat-to-beat electrocardiography data were obtained using a high-resolution Holter system. After visually identifying and removing artifacts, we summarized the total number of premature ventricular contractions (PVCs) and premature atrial contractions (PACs) for each 30-min segment. A personal PM(2.5) nephelometer was used to measure individual-level real-time PM(2.5) exposures for 24 hr. We averaged these data to obtain 30-min average time-specific PM(2.5) exposures. Distributed lag models under the framework of negative binomial regression and generalized estimating equations were used to estimate the rate ratio between 10-μg/m³ increases in average PM(2.5) over 30-min intervals and ectopy counts. RESULTS The mean ± SD age of participants was 56 ± 8 years, with 40% male and 73% non-Hispanic white. The 30-min mean ± SD for PM(2.5) exposure was 13 ± 22 μg/m³, and PAC and PVC counts were 0.92 ± 4.94 and 1.22 ± 7.18. Increases of 10 μg/m³ in average PM(2.5) concentrations during the same 30 min or the previous 30 min were associated with 8% and 3% increases in average PVC counts, respectively. PM(2.5) was not significantly associated with PAC count. CONCLUSION PM(2.5) exposure within approximately 60 min was associated with increased PVC counts in healthy individuals.
Collapse
Affiliation(s)
- Fan He
- Department of Public Health Sciences, the Pennsylvania State University College of Medicine, Hershey, Pennsylvania 17033, USA
| | | | | | | | | | | | | |
Collapse
|
23
|
He F, Shaffer ML, Li X, Rodriguez-Colon S, Wolbrette DL, Williams R, Cascio WE, Liao D. Individual-level PM₂.₅ exposure and the time course of impaired heart rate variability: the APACR Study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2011; 21:65-73. [PMID: 20372190 PMCID: PMC3647364 DOI: 10.1038/jes.2010.21] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2009] [Accepted: 03/02/2010] [Indexed: 05/17/2023]
Abstract
In 106 community-dwelling middle-aged non-smokers we examined the time-course and the acute effects of fine particles (PM₂.₅) on heart rate variability (HRV), which measures cardiac autonomic modulation (CAM). Twenty-four hours beat-to-beat ECG data were visually examined. Artifacts and arrhythmic beats were removed. Normal beat-to-beat RR data were used to calculate HRV indices. Personal PM₂.₅ nephelometry was used to estimate 24-h individual-level real-time PM₂.₅ exposures. We use linear mixed-effects models to assess autocorrelation- and other major confounder-adjusted regression coefficients between 1-6 h moving averages of PM₂.₅ and HRV indices. The increases in preceding 1-6 h moving averages of PM₂.₅ was significantly associated with lower HF, LF, and SDNN, with the largest effect size at 4-6 h moving averages and smallest effects size at 1 h moving average. For example, a 10 μg/m³ increase in 1 and 6-h moving averages was associated with 0.027 and 0.068 ms² decrease in log-HF, respectively, and with 0.024 and 0.071 ms² decrease in log-LF, respectively, and with 0.81 and 1.75 ms decrease in SDNN, respectively (all P-values <0.05). PM₂.₅ exposures are associated with immediate impairment of CAM. With a time-course of within 6 h after elevated PM₂.₅ exposure, with the largest effects around 4-6 h.
Collapse
Affiliation(s)
- Fan He
- Department of Public Health Sciences. Penn State University College of Medicine, US EPA
| | - Michele L. Shaffer
- Department of Public Health Sciences. Penn State University College of Medicine, US EPA
| | - Xian Li
- Department of Public Health Sciences. Penn State University College of Medicine, US EPA
| | - Sol Rodriguez-Colon
- Department of Public Health Sciences. Penn State University College of Medicine, US EPA
| | - Deborah L. Wolbrette
- Department of Medicine, Division of Cardiology, Penn State University College of Medicine, US EPA
| | | | - Wayne E. Cascio
- Department of Cardiovascular Sciences, Brody School of Medicine, and the East Carolina Heart Institute at East Carolina University, Greenville, NC
| | - Duanping Liao
- Department of Public Health Sciences. Penn State University College of Medicine, US EPA
| |
Collapse
|
24
|
He F, Shaffer ML, Rodriguez-Colon S, Bixler EO, Vgontzas AN, Williams RW, Wu R, Cascio WE, Liao D. Acute effects of fine particulate air pollution on ST segment height: a longitudinal study. Environ Health 2010; 9:68. [PMID: 21059260 PMCID: PMC2989950 DOI: 10.1186/1476-069x-9-68] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2010] [Accepted: 11/08/2010] [Indexed: 05/23/2023]
Abstract
BACKGROUND The mechanisms for the relationship between particulate air pollution and cardiac disease are not fully understood. Air pollution-induced myocardial ischemia is one of the potentially important mechanisms. METHODS We investigate the acute effects and the time course of fine particulate pollution (PM2.5) on myocardium ischemic injury as assessed by ST-segment height in a community-based sample of 106 healthy non-smokers. Twenty-four hour beat-to-beat electrocardiogram (ECG) data were obtained using a high resolution 12-lead Holter ECG system. After visually identifying and removing all the artifacts and arrhythmic beats, we calculated beat-to-beat ST-height from ten leads (inferior leads II, III, and aVF; anterior leads V3 and V4; septal leads V1 and V2; lateral leads I, V5, and V6,). Individual-level 24-hour real-time PM2.5 concentration was obtained by a continuous personal PM2.5 monitor. We then calculated, on a 30-minute basis, the corresponding time-of-the-day specific average exposure to PM2.5 for each participant. Distributed lag models under a linear mixed-effects models framework were used to assess the regression coefficients between 30-minute PM2.5 and ST-height measures from each lead; i.e., one lag indicates a 30-minute separation between the exposure and outcome. RESULTS The mean (SD) age was 56 (7.6) years, with 41% male and 74% white. The mean (SD) PM2.5 exposure was 14 (22) μg/m3. All inferior leads (II, III, and aVF) and two out of three lateral leads (I and V6), showed a significant association between higher PM2.5 levels and higher ST-height. Most of the adverse effects occurred within two hours after PM2.5 exposure. The multivariable adjusted regression coefficients β (95% CI) of the cumulative effect due to a 10 μg/m3 increase in Lag 0-4 PM2.5 on ST-I, II, III, aVF and ST-V6 were 0.29 (0.01-0.56) μV, 0.79 (0.20-1.39) μV, 0.52 (0.01-1.05) μV, 0.65 (0.11-1.19) μV, and 0.58 (0.07-1.09) μV, respectively, with all p < 0.05. CONCLUSIONS Increased PM2.5 concentration is associated with immediate increase in ST-segment height in inferior and lateral leads, generally within two hours. Such an acute effect of PM2.5 may contribute to increased potential for regional myocardial ischemic injury among healthy individuals.
Collapse
Affiliation(s)
- Fan He
- Department of Public Health Sciences, Penn State University College of Medicine, A210, 600 Centerview Dr. Suite 2200, Hershey, PA, 17033, USA
| | - Michele L Shaffer
- Department of Public Health Sciences, Penn State University College of Medicine, A210, 600 Centerview Dr. Suite 2200, Hershey, PA, 17033, USA
| | - Sol Rodriguez-Colon
- Department of Public Health Sciences, Penn State University College of Medicine, A210, 600 Centerview Dr. Suite 2200, Hershey, PA, 17033, USA
| | - Edward O Bixler
- Sleep Research & Treatment Center, Department of Psychiatry, Penn State University College of Medicine, 500 University Dr., Hershey, PA, 17033, USA
| | - Alexandros N Vgontzas
- Sleep Research & Treatment Center, Department of Psychiatry, Penn State University College of Medicine, 500 University Dr., Hershey, PA, 17033, USA
| | - Ronald W Williams
- Exposure Measurements and Analysis Branch, Human Exposure and Atmospheric Sciences Division, U.S. EPA, MD-E205-04, Research Triangle Park, NC, 27711, USA
| | - Rongling Wu
- Department of Public Health Sciences, Penn State University College of Medicine, A210, 600 Centerview Dr. Suite 2200, Hershey, PA, 17033, USA
| | - Wayne E Cascio
- Department of Cardiovascular Sciences, Brody School of Medicine, and the East Carolina Heart Institute and East Carolina University, Ste C, 2315 Executive Cir, Greenville, NC, 27834, USA
| | - Duanping Liao
- Department of Public Health Sciences, Penn State University College of Medicine, A210, 600 Centerview Dr. Suite 2200, Hershey, PA, 17033, USA
| |
Collapse
|
25
|
Abstract
BACKGROUND Air pollution may increase the incidence of ventricular cardiac arrhythmias. We investigated this in patients with implantable cardioverter defibrillators attending London clinics. METHOD We explored associations between dates of activation of defibrillators and daily concentrations of various metrics of particulate matter and of pollutant gases at lags from 0 to 5 days, using a fixed-stratum case-crossover analysis controlling for confounding factors. RESULTS Over an average of 1200 days of observation, 705 patients experienced 5462 activation days. Of 11 pollutants considered, we found positive associations with particle sulfate, particulate matter with aerodynamic diameter less than 10 microm and less than 2.5 microm, ozone, and sulfur dioxide. Only the association for particle sulfate was not easily explainable by chance (for 1 microg/m, lag 0-1 day, odds ratio = 1.025 [95% confidence interval = 1.003 to 1.047]). There was little or no evidence of associations with markers of primary vehicle emissions (particle number concentration, black smoke, nitrogen oxides, and carbon monoxide). There was little evidence of interactions with clinical factors such as ischemic heart disease, frequency of activation, or cardiac drugs. CONCLUSION Overall there was little evidence of an association between air pollution and activation of implantable cardioverter defibrillators. The pollutants with positive associations tended to be those of secondary origin with a regional distribution, rather than primary pollutants emitted from transport sources.
Collapse
|
26
|
Liao D, Shaffer ML, Rodriguez-Colon S, He F, Li X, Wolbrette DL, Yanosky J, Cascio WE. Acute adverse effects of fine particulate air pollution on ventricular repolarization. ENVIRONMENTAL HEALTH PERSPECTIVES 2010; 118:1010-5. [PMID: 20363686 PMCID: PMC2920900 DOI: 10.1289/ehp.0901648] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2009] [Accepted: 04/02/2010] [Indexed: 05/18/2023]
Abstract
BACKGROUND The mechanisms for the relationship between particulate pollution and cardiac disease are not fully understood. OBJECTIVE We examined the effects and time course of exposure to fine particulate matter < or = 2.5 microm in aerodynamic diameter (PM(2.5)) on ventricular repolarization of 106 nonsmoking adults who were living in communities in central Pennsylvania. METHODS The 24-hr beat-to-beat electrocardiogram (ECG) data were obtained using a high-resolution 12-lead Holter system. After visually identifying and removing artifacts and arrhythmic beats, we summarized normal beat-to-beat QTs from each 30-min segment as heart rate (HR)-corrected QT measures: QT prolongation index (QTI), Bazett's HR-corrected QT (QTcB), and Fridericia's HR-corrected QT (QTcF). A personal PM(2.5) monitor was used to measure individual-level real-time PM(2.5) exposures for 24 hr. We averaged these data and used 30-min time-specific average PM(2.5) exposures. RESULTS The mean age of the participants was 56 +/- 8 years, with 41% male and 74% white. The means +/- SDs for QTI, QTcB, and QTcF were 111 +/- 6.6, 438 +/- 23 msec, and 422 +/- 22 msec, respectively; and for PM(2.5), the mean +/- SD was 14 +/- 22 microg/m3. We used distributed lag models under a framework of linear mixed-effects models to assess the autocorrelation-corrected regression coefficients (beta) between 30-min PM(2.5) and the HR-corrected QT measures. Most of the adverse ventricular repolarization effects from PM(2.5) exposure occurred within 3-4 hr. The multivariable adjusted beta (SE, p-value) due to a 10-microg/m3 increase in lag 7 PM(2.5) on QTI, QTcB, and QTcF were 0.08 (0.04, p < 0.05), 0.22 (0.08, p < 0.01), and 0.09 (0.05, p < 0.05), respectively. CONCLUSIONS Our results suggest a significant adverse effect of PM(2.5) on ventricular repolarization. The time course of the effect is within 3-4 hr of elevated PM(2.5).
Collapse
Affiliation(s)
- Duanping Liao
- Department of Public Health Sciences, Penn State University College of Medicine, Hershey, Pennsylvania 17033, USA.
| | | | | | | | | | | | | | | |
Collapse
|
27
|
Avery CL, Mills KT, Williams R, McGraw KA, Poole C, Smith RL, Whitsel EA. Estimating error in using residential outdoor PM2.5 concentrations as proxies for personal exposures: a meta-analysis. ENVIRONMENTAL HEALTH PERSPECTIVES 2010; 118:673-8. [PMID: 20075021 PMCID: PMC2866684 DOI: 10.1289/ehp.0901158] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2009] [Accepted: 01/14/2010] [Indexed: 05/02/2023]
Abstract
BACKGROUND Studies examining the health effects of particulate matter <or= 2.5 microm in aerodynamic diameter (PM2.5) commonly use ambient PM2.5 concentrations measured at distal monitoring sites as proxies for personal exposure and assume spatial homogeneity of ambient PM2.5. An alternative proxy-the residential outdoor PM2.5 concentration measured adjacent to participant homes-has few advantages under this assumption. OBJECTIVES We systematically reviewed the correlation between residential outdoor PM2.5 and personal PM2.5 (-rj) as a means of comparing the magnitude and sources of measurement error associated with their use as exposure surrogates. METHODS We searched seven electronic reference databases for studies of the within-participant residential outdoor-personal PM2.5 correlation. RESULTS The search identified 567 candidate studies, nine of which were abstracted in duplicate, that were published between 1996 and 2008. They represented 329 nonsmoking participants 6-93 years of age in eight U.S. cities, among whom -rj was estimated (median, 0.53; range, 0.25-0.79) based on a median of seven residential outdoor-personal PM2.5 pairs per participant. We found modest evidence of publication bias (symmetric funnel plot; pBegg = 0.4; pEgger = 0.2); however, we identified evidence of heterogeneity (Cochran's Q-test p = 0.05). Of the 20 characteristics examined, earlier study midpoints, eastern longitudes, older mean age, higher outdoor temperatures, and lower personal-residential outdoor PM2.5 differences were associated with increased within-participant residential outdoor-personal PM2.5 correlations. CONCLUSIONS These findings were similar to those from a contemporaneous meta-analysis that examined ambient-personal PM2.5 correlations (rj = median, 0.54; range, 0.09-0.83). Collectively, the meta-analyses suggest that residential outdoor-personal and ambient-personal PM2.5 correlations merit greater consideration when evaluating the potential for bias in studies of PM2.5-mediated health effects.
Collapse
Affiliation(s)
- Christy L Avery
- Department of Epidemiology, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina 27514 , USA.
| | | | | | | | | | | | | |
Collapse
|
28
|
Abstract
PURPOSE OF REVIEW The last 5 years have witnessed an explosion in interest regarding cardiac arrhythmias and air pollution. The data have been strongest with respect to ventricular arrhythmias but there is accumulating evidence that air pollution is also associated with supraventricular arrhythmias. RECENT FINDINGS There is clear epidemiological evidence linking air pollution and cardiac mortality. Whether the cardiac mortality was from myocardial ischemia, congestive heart failure or arrhythmic, or all of these pathways, is not clear from the epidemiological data. There is a large body of evidence that air pollution can modify autonomic tone. More recent data, utilizing patients with cardiac disease and implantable cardioverter defibrillators (ICDs), have clarified the association of air pollution and arrhythmias. Data are also accumulating that air pollution may be associated with atrial arrhythmias. SUMMARY The incremental risk of air pollution in triggering arrhythmias or other acute cardiac events is greatest for those patients with underlying cardiac disease. Cardiovascular patients and those at high risk of cardiovascular disease should be educated about the risks for triggering of arrhythmias and other cardiac events by air pollution. These patients should monitor the local forecasted Air Quality Index and follow the recommendations to reduce exposures and limit activities.
Collapse
|
29
|
Polichetti G, Cocco S, Spinali A, Trimarco V, Nunziata A. Effects of particulate matter (PM(10), PM(2.5) and PM(1)) on the cardiovascular system. Toxicology 2009; 261:1-8. [PMID: 19379789 DOI: 10.1016/j.tox.2009.04.035] [Citation(s) in RCA: 143] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2009] [Revised: 04/08/2009] [Accepted: 04/13/2009] [Indexed: 02/08/2023]
Abstract
Several studies have demonstrated that exposure to particulate matter (PM) of different size fractions is associated with an increased risk of cardiovascular disease (CVD). In this review, we have taken into consideration the possible correlation between the "short term" and "long term" effects of PM exposure and the onset of CVDs as well as the possible molecular mechanisms by which PM elicits the development of these events. Particularly, it is here underlined that these adverse health effects depend not only on the level of PM concentration in the air but also on its particular internal composition. Furthermore, we have also synthesized the findings gleaned from those few studies indicating that PM produced by tobacco smoke can give rise to cardiovascular injury.
Collapse
Affiliation(s)
- Giuliano Polichetti
- Department of Neuroscience, School of Medicine, Federico II University of Naples, Via S. Pansini 5, 80131 Naples, Italy.
| | | | | | | | | |
Collapse
|