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Brook RD, Brook AR, Levy PD, Korzeniewski S, Al-Kindi S, Rajagopalan S. Enhancing Air Quality Index Activity Guidelines for Preventing Cardiovascular Events in the General Adult Population. JACC. ADVANCES 2024; 3:101313. [PMID: 39429238 PMCID: PMC11489059 DOI: 10.1016/j.jacadv.2024.101313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 08/21/2024] [Accepted: 08/27/2024] [Indexed: 10/22/2024]
Abstract
Background The public health relevance of daily Air Quality Index (AQI) activity guidelines for the general adult public in the United States to prevent atherosclerotic cardiovascular disease (ASCVD) events is questionable. Objectives The purpose of the study was to explore the utility of a policy tailoring activity guidance to calculated ASCVD risk rather than uniform recommendations to the general adult public as currently provided. Methods We calculated the number needed to treat (NNT) to prevent one ASCVD event per day by following activity recommendations across 10-year ASCVD risk scores (1% to 20%). Second, we modeled the benefits of tailoring recommendations to ASCVD risk. Results The NNT decreased as ASCVD risk and/or AQI levels increased. At AQIs up to 151 (68% of days with AQIs above moderate in the United States), the NNTs remained untenably high (>2.7-55.3 million) across ASCVD risk. Under unhealthy conditions (AQIs 151-200), 28% of elevated AQIs, NNTs <1 million could be achieved by current guidance (15% exposure reduction), but only among the highest-risk individuals (ASCVD 18% to 20%) on the most polluted days (AQIs 192-200). Tailoring guidance to ASCVD risk could yield NNTs <1 million at risk thresholds of 7.5% and 10% if activity restrictions were more stringent (35% to 50% exposure reductions) during unhealthy conditions. Conclusions ASCVD risk has a major influence on the NNT to prevent cardiovascular events by following AQI guidance. It may be possible for a future policy to improve the utility of AQI activity guidance for the general adult public by tailoring activity recommendations to ASCVD risk.
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Affiliation(s)
- Robert D. Brook
- Division of Cardiovascular Diseases, Department of Internal Medicine, Wayne State University, Detroit, Michigan, USA
| | | | - Phillip D. Levy
- Department of Emergency Medicine and Integrated Biosciences Center, Wayne State University, Detroit, Michigan, USA
| | - Steven Korzeniewski
- Department of Emergency Medicine and Integrated Biosciences Center, Wayne State University, Detroit, Michigan, USA
| | - Sadeer Al-Kindi
- DeBakey Heart and Vascular Center, Houston Methodist, Houston, Texas, USA
| | - Sanjay Rajagopalan
- University Hospitals, Case Western Reserve University, Cleveland, Ohio, USA
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Hughes F, Parsons L, Levy JH, Shindell D, Alhanti B, Ohnuma T, Kasibhatla P, Montgomery H, Krishnamoorthy V. Impact of Wildfire Smoke on Acute Illness. Anesthesiology 2024; 141:779-789. [PMID: 39105660 DOI: 10.1097/aln.0000000000005115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/07/2024]
Abstract
Climate change increases wildfire smoke exposure. Inhaled smoke causes inflammation, oxidative stress, and coagulation, which exacerbate cardiovascular and respiratory disease while worsening obstetric and neonatal outcomes.
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Affiliation(s)
- Fintan Hughes
- Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina
| | - Luke Parsons
- Global Science, Nature Conservancy and Nicholas School of the Environment, Duke University, Durham, North Carolina
| | - Jerrold H Levy
- Departments of Anesthesiology and Surgery (Cardiothoracic), Duke University School of Medicine, Durham, North Carolina
| | - Drew Shindell
- Nicholas School of the Environment, Duke University, Durham, North Carolina
| | - Brooke Alhanti
- Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Tetsu Ohnuma
- Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina
| | - Prasad Kasibhatla
- Nicholas School of the Environment, Duke University, Durham, North Carolina
| | - Hugh Montgomery
- Department of Intensive Care Medicine, University College London, London, United Kingdom
| | - Vijay Krishnamoorthy
- Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina
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Pearson JF, Jacobson C, Riss C, Strickland M, Lee L, Wan N, Benney TM, Pace NL, Goodrich B, Gabry J, Kartchner C, Andreae MH. Preoperative Exposure to Fine Particulate Matter and Risk of Postoperative Complications: A Single Center Observational Cohort Bayesian Analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.13.24311943. [PMID: 39211893 PMCID: PMC11361263 DOI: 10.1101/2024.08.13.24311943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Background & Objectives While exposure to fine particulate matter air pollution (PM 2.5 ) is known to cause adverse health effects, its impact on postoperative outcomes in US adults remains understudied. Perioperative exposure to PM 2.5 may induce inflammation that insidiously interacts with the systemic inflammatory response after surgery, leading to higher postoperative complications. Methods We conducted a single center, retrospective cohort study using data from 64,313 surgical patients living along Utah's Wasatch Front and undergoing elective surgical procedures at a single academic medical center from 2016-2018. Patients' addresses were geocoded and linked to daily Census-tract level PM 2.5 estimates preoperatively. We hypothesized that elevated PM 2.5 concentrations in the seven days prior to surgery would be associated with an increase in a bundle of major postoperative complications. A hierarchical Bayesians regression model was fit adjusting for age, sex, season, neighborhood disadvantage, and the Elixhauser index of comorbidities. Results Postoperative complications increased in a dose-dependent manner with higher concentrations of PM 2.5 exposure, with a relative increase of 7% in the odds of complications for every 10ug/m3 increase in the highest single-day 24-hr PM 2.5 exposure during the 7 days prior to surgery. The association persisted after controlling for comorbidities and potential confounders; our inferences were robust to modeling choices and sensitivity analysis. Discussion & Conclusion In this large Utah cohort, exposure to elevated PM 2.5 concentrations in the week before surgery was associated with increased postoperative complications in a dose-dependent manner, suggesting a potential impact of air pollution on surgical outcomes. These findings merit replication in larger datasets to identify populations at risk and to define the interaction and impact of different pollutants. PM 2.5 exposure is a potential perioperative risk factor and, given the unmitigated air pollution in urban areas, a global health concern.
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Bochenek T, Pytlewski A, Bride D, Gruchlik B, Lelek M, Teodorska M, Nowok M, Wita K, Mizia-Stec K, Horne BD. Associations of air pollution with acute coronary syndromes based on A/B/AB versus O blood types: case-crossover study. Sci Rep 2024; 14:14580. [PMID: 38918482 PMCID: PMC11199661 DOI: 10.1038/s41598-024-65506-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 06/20/2024] [Indexed: 06/27/2024] Open
Abstract
Short-term exposure to air pollutants may contribute to an increased risk of acute coronary syndrome (ACS). This study assessed the role of short-term exposure to fine particulate matter (PM2.5) as well as fine and coarse PM (PM10) air pollution in ACS events and the effect of blood groups on this phenomenon. A retrospectively collected database of 9026 patients was evaluated. The study design was a case-crossover using a conditional logistic regression model. The main analysis focused on PM2.5 levels with a 1 day lag until the ACS event, using threshold-modelled predictor for all patients. Secondary analyses utilized separate threshold-modelled predictors for 2-7-days moving averages and for patients from specific ABO blood groups. Additional analysis was performed with the non-threshold models and for PM10 levels. Short-term exposure to increased PM2.5 and PM10 levels at a 1-day lag was associated with elevated risks of ACS (PM2.5: OR = 1.012 per + 10 µg/m3, 95% CI 1.003, 1.021; PM10: OR = 1.014 per + 10 µg/m3, CI 1.002, 1.025) for all patients. Analysis showed that exposure to PM2.5 was associated with increased risk of ACS at a 1-day lag for the A, B or AB group (OR = 1.012 per + 10 µg/m3, CI 1.001, 1.024), but not O group (OR = 1.011 per + 10 µg/m3, CI 0.994, 1.029). Additional analysis showed positive associations between exposure to PM10 and risk of ACS, with 7-days moving average models stratified by blood group revealing that exposures to PM2.5 and PM10 were associated with elevated risk of ACS for patients with group O. Short-term exposures to PM2.5 and PM10 were associated with elevated risk of ACS. Short-term exposure to PM2.5 was positively associated with the risk of ACS for patients with A, B, or AB blood groups for a 1-day lag, while risk in O group was delayed to 7 days.
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Affiliation(s)
- Tomasz Bochenek
- First Department of Cardiology, Medical University of Silesia, Ul. Ziołowa 47, 40-635, Katowice, Poland.
- European Reference Network for Rare, Low Prevalence, Or Complex Diseases of the Heart (ERN GUARD Heart), Amsterdam, The Netherlands.
| | | | - Daniel Bride
- Intermountain Medical Center Heart Institute, Salt Lake City, UT, USA
| | - Bartosz Gruchlik
- First Department of Cardiology, Medical University of Silesia, Ul. Ziołowa 47, 40-635, Katowice, Poland
- European Reference Network for Rare, Low Prevalence, Or Complex Diseases of the Heart (ERN GUARD Heart), Amsterdam, The Netherlands
| | - Michał Lelek
- First Department of Cardiology, Medical University of Silesia, Ul. Ziołowa 47, 40-635, Katowice, Poland
- European Reference Network for Rare, Low Prevalence, Or Complex Diseases of the Heart (ERN GUARD Heart), Amsterdam, The Netherlands
| | | | | | - Krystian Wita
- First Department of Cardiology, Medical University of Silesia, Ul. Ziołowa 47, 40-635, Katowice, Poland
- European Reference Network for Rare, Low Prevalence, Or Complex Diseases of the Heart (ERN GUARD Heart), Amsterdam, The Netherlands
| | - Katarzyna Mizia-Stec
- First Department of Cardiology, Medical University of Silesia, Ul. Ziołowa 47, 40-635, Katowice, Poland
- European Reference Network for Rare, Low Prevalence, Or Complex Diseases of the Heart (ERN GUARD Heart), Amsterdam, The Netherlands
| | - Benjamin D Horne
- Intermountain Medical Center Heart Institute, Salt Lake City, UT, USA
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
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Laskaris Z, O'Neill MS, Batterman SA, Mukherjee B, Fobil JN, Robins TG. Cross-shift changes in pulmonary function and occupational exposure to particulate matter among e-waste workers in Ghana. Front Public Health 2024; 12:1368112. [PMID: 38784567 PMCID: PMC11111984 DOI: 10.3389/fpubh.2024.1368112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 04/15/2024] [Indexed: 05/25/2024] Open
Abstract
Introduction Little is known on the association between cross-shift changes in pulmonary function and personal inhalation exposure to particulate matter (PM) among informal electronic-waste (e-waste) recovery workers who have substantial occupational exposure to airborne pollutants from burning e-waste. Methods Using a cross-shift design, pre- and post-shift pulmonary function assessments and accompanying personal inhalation exposure to PM (sizes <1, <2.5 μm, and the coarse fraction, 2.5-10 μm in aerodynamic diameter) were measured among e-waste workers (n = 142) at the Agbogbloshie e-waste site and a comparison population (n = 65) in Accra, Ghana during 2017 and 2018. Linear mixed models estimated associations between percent changes in pulmonary function and personal PM. Results Declines in forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) per hour were not significantly associated with increases in PM (all sizes) among either study population, despite breathing zone concentrations of PM (all sizes) that exceeded health-based guidelines in both populations. E-waste workers who worked "yesterday" did, however, have larger cross-shift declines in FVC [-2.4% (95%CI: -4.04%, -0.81%)] in comparison to those who did not work "yesterday," suggesting a possible role of cumulative exposure. Discussion Overall, short-term respiratory-related health effects related to PM exposure among e-waste workers were not seen in this sample. Selection bias due to the "healthy worker" effect, short shift duration, and inability to capture a true "pre-shift" pulmonary function test among workers who live at the worksite may explain results and suggest the need to adapt cross-shift studies for informal settings.
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Affiliation(s)
- Zoey Laskaris
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Marie S. O'Neill
- Department of Epidemiology, Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Stuart A. Batterman
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Julius N. Fobil
- Department of Biological, Environmental, and Occupational Health Sciences, University of Ghana School of Public Health, Accra, Ghana
| | - Thomas G. Robins
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, United States
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Strobl K, Irfan SA, Masood H, Latif N, Kurmi O. Association between PM10 exposure and risk of myocardial infarction in adults: A systematic review and meta-analysis. PLoS One 2024; 19:e0301374. [PMID: 38691568 PMCID: PMC11062553 DOI: 10.1371/journal.pone.0301374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 03/11/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND Air pollution has several negative health effects. Particulate matter (PM) is a pollutant that is often linked to health adversities. PM2.5 (PM with an aerodynamic diameter of ≤2.5μm) exposure has been associated with negative cardiovascular (CV) outcomes. However, the impact of PM10 (PM with an aerodynamic diameter of ≤10μm) exposure is often overlooked due to its limited ability to pass the alveolar barrier. This study aims to assess the association between PM10 exposure and risk of myocardial infarction (MI) amongst adults (≥18 years of age) as this has been poorly studied. METHODS The study protocol was published on the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42023409796) on March 31, 2023. Literature searches were conducted on 4 databases (Ovid Medline, Embase, CINAHL (Cumulative Index to Nursing and Allied Health Literature), and Web of Science) on January 17, 2023, for studies looking at associations between PM and MI. English studies from all time periods were assessed. Studies selected for review were time-series, case-crossover, and cohort studies which investigated the risk of MI as an outcome upon PM10 exposure. The quality of evidence was assessed using Cochrane's Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. Data for different risk outcomes (risk ratio (RR), odds ratio (OR), hazard ratio (HR)) and 3 lags was meta-analyzed using an inverse variance statistical analysis using a random effects model. The pooled effect sizes and the 95% confidence intervals (CIs) were reported in forest plots. RESULTS Among the 1,099 studies identified, 41 were included for review and 23 were deemed eligible for meta-analysis. Our analysis revealed that there is an increased risk (OR = 1.01; 95% CI:1.00-1.02) of MI with a 10 μg/m3 increase in PM10 after a lag 0 and lag 1 delay. CONCLUSIONS Our findings indicate that PM10 exposure is associated with an increased risk of MI. This can aid in informing environmental policy-making, personal-level preventative measures, and global public health action.
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Affiliation(s)
- Kleiton Strobl
- Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Syed Asad Irfan
- Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Hassan Masood
- Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Noor Latif
- Faculty of Science, McMaster University, Hamilton, Canada
| | - Om Kurmi
- Faculty of Health Sciences, McMaster University, Hamilton, Canada
- Faculty Research Centre for Healthcare and Communities, Coventry University, Coventry, United Kingdom
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Brook RD, Rajagopalan S, Al-Kindi S. Public Health Relevance of US EPA Air Quality Index Activity Recommendations. JAMA Netw Open 2024; 7:e245292. [PMID: 38587845 PMCID: PMC11002695 DOI: 10.1001/jamanetworkopen.2024.5292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 01/28/2024] [Indexed: 04/09/2024] Open
Abstract
Importance Reducing exposure to fine particulate matter (<2.5 μm [PM2.5]) air pollution improves cardiopulmonary morbidity and mortality. However, the public health relevance of air quality index (AQI) activity guidelines under present-day environmental conditions in the US has not been critically assessed. Objective To evaluate the public health relevance of following PM2.5 AQI activity guidance in preventing serious atherosclerotic cardiovascular disease (ASCVD) and pulmonary events among adults in the US. Design, Setting, and Participants This cross-sectional modeling study involved the general adult population and sensitive individuals as designated by the US Environmental Protection Agency (EPA), including adults with preexisting ASCVD or lung disease (asthma or chronic obstructive pulmonary disease). The study was conducted between August 1, 2023, and January 31, 2024. Exposures Daily AQI strata for PM2.5 and the corresponding activity recommendations. Main Outcomes and Measures The main outcome was the number needed to treat (NNT) per day by following activity guidance across daily AQI strata to prevent 1 serious ASCVD or pulmonary event among relevant populations. To calculate PM2.5-induced excess disease event rates per day, estimated baseline disease-specific daily event rates for each group were multiplied by the increase in risks due to PM2.5 levels at each AQI stratum. The number of events prevented per day was calculated by multiplying each excess disease event rate by the percentage in exposure reduction plausibly incurred by following population-specific activity guidance at each AQI level. The NNT is the reciprocal of the number of events prevented. Results The NNT to prevent ASCVD events was high for the general population and for patients with ASCVD across all AQI strata. The range of values was comparatively lower to prevent pulmonary events among adults with lung disease. During most days (96%) when activity recommendations were promulgated due to elevated PM2.5 (AQI, 101-200), the NNT to prevent a serious disease event remained very high for the general population (>18 million), patients with ASCVD (approximately 1.6-5 million), and adults with lung disease (approximately 66 000-202 000). Conclusions and Relevance These findings suggest that existing PM2.5 AQI activity recommendations are of questionable public health relevance in present-day conditions and merit consideration for updating to improve their potential effectiveness.
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Affiliation(s)
- Robert D. Brook
- Division of Cardiovascular Diseases, Department of Internal Medicine, Wayne State University, Detroit, Michigan
| | | | - Sadeer Al-Kindi
- DeBakey Heart and Vascular Center, Houston Methodist, Houston, Texas
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Humphrey JL, Kinnee EJ, Robinson LF, Clougherty JE. Disentangling impacts of multiple pollutants on acute cardiovascular events in New York city: A case-crossover analysis. ENVIRONMENTAL RESEARCH 2024; 242:117758. [PMID: 38029813 PMCID: PMC11378578 DOI: 10.1016/j.envres.2023.117758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 10/29/2023] [Accepted: 11/21/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Ambient air pollution contributes to an estimated 6.67 million deaths annually, and has been linked to cardiovascular disease (CVD), the leading cause of death. Short-term increases in air pollution have been associated with increased risk of CVD event, though relatively few studies have directly compared effects of multiple pollutants using fine-scale spatio-temporal data, thoroughly adjusting for co-pollutants and temperature, in an exhaustive citywide hospitals dataset, towards identifying key pollution sources within the urban environment to most reduce, and reduce disparities in, the leading cause of death worldwide. OBJECTIVES We aimed to examine multiple pollutants against multiple CVD diagnoses, across lag days, in models adjusted for co-pollutants and meteorology, and inherently adjusted by design for non-time-varying individual and aggregate-level covariates, using fine-scale space-time exposure estimates, in an exhaustive dataset of emergency department visits and hospitalizations across an entire city, thereby capturing the full population-at-risk. METHODS We used conditional logistic regression in a case-crossover design - inherently controlling for all confounders not varying within case month - to examine associations between spatio-temporal nitrogen dioxide (NO2), fine particulate matter (PM2.5), sulfur dioxide (SO2), and ozone (O3) in New York City, 2005-2011, on individual risk of acute CVD event (n = 837,523), by sub-diagnosis [ischemic heart disease (IHD), heart failure (HF), stroke, ischemic stroke, acute myocardial infarction]. RESULTS We found significant same-day associations between NO2 and risk of overall CVD, IHD, and HF - and between PM2.5 and overall CVD or HF event risk - robust to all adjustments and multiple comparisons. Results were comparable by sex and race - though median age at CVD was 10 years younger for Black New Yorkers than White New Yorkers. Associations for NO2 were comparable for adults younger or older than 69 years, though PM2.5 associations were stronger among older adults. DISCUSSION Our results indicate immediate, robust effects of combustion-related pollution on CVD risk, by sub-diagnosis. Though acute impacts differed minimally by age, sex, or race, the much younger age-at-event for Black New Yorkers calls attention to cumulative social susceptibility.
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Affiliation(s)
- Jamie L Humphrey
- Center Public Health Methods; RTI International, Research Triangle Park, NC, 27709, USA
| | - Ellen J Kinnee
- University Center for Social and Urban Research, University of Pittsburgh, Pittsburgh, PA, 15260, USA
| | - Lucy F Robinson
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA
| | - Jane E Clougherty
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.
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Chen H, Zhao Y, Wang M, Wang G, Liu J, Liu H, Yang B, Shan H, Wang L, Shi Y, Li H, Han C. Associations between short-term exposure to ambient PM 2.5 and incident cases of cardiovascular disease in Yantai, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:1124-1135. [PMID: 37092899 DOI: 10.1080/09603123.2023.2202899] [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: 10/31/2022] [Accepted: 04/11/2023] [Indexed: 05/03/2023]
Abstract
There are limited studies investigating the association between short-term exposure to PM2.5 and incident cardiovascular disease (CVD) cases in China. This study aims to examine the short-term effects of PM2.5 on the incidence of cardiovascular diseases. A combination of Poisson-distribution generalized linear model and distributed lag non-linear model was used to examine the association between short-term exposure to PM2.5 and incident cases of CVD. The results revealed that per 10 µg/m3 increment of PM2.5 would increase the incident CVD cases by 0.147% (Relative Risk: 1.00147, 95% Confidence Interval: 1.00008-1.00286) at a lag of 2 days. The stratified analyses showed higher effects risk in females, older residents (aged 60-75 years), and acute myocardial infarction group (p-value for difference <0.05). This study indicates that short-term exposure to PM2.5 may increase the risk of CVD and highlights the necessity for a higher air quality standard in Yantai, China.
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Affiliation(s)
- Haotian Chen
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Yang Zhao
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- Digital Health and Stroke Program, The George Institute for Global Health, Beijing, China
| | - Maobo Wang
- Department of Prevention and Treatment of Chronic Noncommunicable Diseases, Yantai Center for Disease Control and Prevention, Yantai, Shandong, China
| | - Guangcheng Wang
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Junyan Liu
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Haiyun Liu
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Baoshun Yang
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Haifeng Shan
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Luyang Wang
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Yukun Shi
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Hongyu Li
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Chunlei Han
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
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Chen W, Zhang F, Shang X, Zhang T, Guan F. The effects of surface vegetation coverage on the spatial distribution of PM 2.5 in the central area of Nanchang City, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:125977-125990. [PMID: 38008837 DOI: 10.1007/s11356-023-31031-4] [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: 05/22/2023] [Accepted: 11/08/2023] [Indexed: 11/28/2023]
Abstract
The frequent occurrence of haze has caused widespread concern in China, and PM2.5 is thought to be the main cause. Previous research showed that PM2.5 was not only influenced by meteorological conditions but also by land cover especially surface vegetation. It was concluded that PM2.5 concentration is significantly influenced by surface vegetation, but spatially how and in what manner are still unanswered. Taking the central area of Nanchang City, China, as a case, this study firstly applied land use regression (LUR) model to simulate the distribution of PM2.5 in 2020. Then, the dichotomous model was used to determine vegetation coverage. A statistical regression model was used to analyze the influence of vegetation cover on PM2.5 and the scale effects. The results showed that (1) vegetation coverage and PM2.5 concentration were both significantly negatively correlated at the spatial scales selected for this study. (2) The effect of vegetation coverage on PM2.5 varied with season and the 500 m had the best correlation. (3) The non-linear regression model fits better than the linear model, and the effect of vegetation coverage on PM2.5 was complex. (4) The effect of vegetation coverage on PM2.5 concentration was different with PM2.5 concentration level. The higher the PM2.5 concentration, the more pronounced the effect of vegetation coverage on it. This study proposed the idea and method of coupling vegetation coverage with PM2.5 concentration at the regional scale from gradient landscape's point of view and provided some references for mitigating PM2.5 pollution through optimizing urban vegetation patterns.
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Affiliation(s)
- Wenbo Chen
- School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, 330013, China
| | - Fuqing Zhang
- School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang, 330013, China.
| | - Xue Shang
- Nanchang Key Laboratory of Landscape Process and Territorial Spatial Ecological Restoration, Nanchang, 330013, China
| | - Tongyue Zhang
- Nanchang Key Laboratory of Landscape Process and Territorial Spatial Ecological Restoration, Nanchang, 330013, China
| | - Feiying Guan
- Nanchang Key Laboratory of Landscape Process and Territorial Spatial Ecological Restoration, Nanchang, 330013, China
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Krittanawong C, Qadeer YK, Hayes RB, Wang Z, Thurston GD, Virani S, Lavie CJ. PM 2.5 and cardiovascular diseases: State-of-the-Art review. INTERNATIONAL JOURNAL OF CARDIOLOGY. CARDIOVASCULAR RISK AND PREVENTION 2023; 19:200217. [PMID: 37869561 PMCID: PMC10585625 DOI: 10.1016/j.ijcrp.2023.200217] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/09/2023] [Accepted: 09/20/2023] [Indexed: 10/24/2023]
Abstract
Air pollution, especially exposure to particulate matter 2.5 (PM2.5), has been associated with an increase in morbidity and mortality around the world. Specifically, it seems that PM2.5 promotes the development of cardiovascular risk factors such as hypertension and atherosclerosis, while being associated with an increased risk of cardiovascular diseases, including myocardial infarction (MI), stroke, heart failure, and arrhythmias. In this review, we seek to elucidate the pathophysiological mechanisms by which exposure to PM2.5 can result in adverse cardiovascular outcomes, in addition to understanding the link between exposure to PM2.5 and cardiovascular events. It is hypothesized that PM2.5 functions via 3 mechanisms: increased oxidative stress, activation of the inflammatory pathway of the immune system, and stimulation of the autonomic nervous system which ultimately promote endothelial dysfunction, atherosclerosis, and systemic inflammation that can thus lead to cardiovascular events. It is important to note that the various cardiovascular associations of PM2.5 differ regarding the duration of exposure (short vs long) to PM2.5, the source of PM2.5, and regulations regarding air pollution in the area where PM2.5 is prominent. Current strategies to reduce PM2.5 exposure include personal strategies such as avoiding high PM2.5 areas such as highways or wearing masks outdoors, to governmental policies restricting the amount of PM2.5 produced by organizations. This review, by highlighting the significant impact between PM2.5 exposure and cardiovascular health will hopefully bring awareness and produce significant change regarding dealing with PM2.5 levels worldwide.
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Affiliation(s)
| | | | - Richard B. Hayes
- Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Zhen Wang
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - George D. Thurston
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo, New York, USA
| | - Salim Virani
- Section of Cardiology, Baylor College of Medicine, Houston, TX, USA
- The Aga Khan University, Karachi, Pakistan
| | - Carl J. Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA, USA
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Tabaghi S, Sheibani M, Khaheshi I, Miri R, Haji Aghajani M, Safi M, Eslami V, Pishgahi M, Alipour Parsa S, Namazi MH, Beyranvand MR, Sohrabifar N, Hassanian‐Moghaddam H, Pourmotahari F, Khaiat S, Akbarzadeh MA. Associations between short-term exposure to fine particulate matter and acute myocardial infarction: A case-crossover study. Clin Cardiol 2023; 46:1319-1325. [PMID: 37501642 PMCID: PMC10642339 DOI: 10.1002/clc.24111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/21/2023] [Accepted: 07/27/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND Previous studies evaluated the impact of particle matters (PM) on the risk of acute myocardial infarction (AMI) based on local registries. HYPOTHESIS This study aimed to evaluate possible short term effect of air pollutants on occurrence of AMI based on a specific case report sheet that was designed for this purpose. METHODS AMI was documented among 982 patients who referred to the emergency departments in Tehran, Iran, between July 2017 to March 2019. For each patient, case period was defined as 24 hour period preceding the time of emergency admission and referent periods were defined as the corresponding time in 1, 2, and 3 weeks before the admission. The associations of particulate matter with an aerodynamic diameter ≤2.5 μm (PM2 .5 ) and particulate matter with an aerodynamic diameter ≤10 μm (PM10 ) with AMI were analyzed using conditional logistic regression in a case-crossover design. RESULT Increase in PM2.5 and PM10 was significantly associated with the occurrence of AMI with and without adjustment for the temperature and humidity. In the adjusted model each 10 μg/m3 increase of PM10 and PM2.5 in case periods was significantly associated with increase myocardial infarction events (95% CI = 1.041-1.099, OR = 1.069 and 95% CI = 1.073-1.196, and OR = 1.133, respectively). Subgroup analysis showed that increase in PM10 did not increase AMI events in diabetic subgroup, but in all other subgroups PM10 and PM2 .5 concentration showed positive associations with increased AMI events. CONCLUSION Acute exposure to ambient air pollution was associated with increased risk of AMI irrespective of temperature and humidity.
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Affiliation(s)
- Shiva Tabaghi
- Cardiovascular Research CenterShahid Beheshti University of Medical SciencesTehranIran
| | - Mehdi Sheibani
- Cardiovascular Research CenterShahid Beheshti University of Medical SciencesTehranIran
| | - Isa Khaheshi
- Cardiovascular Research CenterShahid Beheshti University of Medical SciencesTehranIran
| | - Reza Miri
- Prevention of Cardiovascular Disease Research CenterShahid Beheshti University of Medical SciencesTehranIran
| | - Mohammad Haji Aghajani
- Prevention of Cardiovascular Disease Research CenterShahid Beheshti University of Medical SciencesTehranIran
| | - Morteza Safi
- Cardiovascular Research CenterShahid Beheshti University of Medical SciencesTehranIran
| | - Vahid Eslami
- Department of CardiologyShahid Labbafinejad Hospital, Shahid Beheshti University of Medical SciencesTehranIran
| | - Mehdi Pishgahi
- Department of CardiologyShohada‐e Tajrish Hospital, Shahid Beheshti University of Medical SciencesTehranIran
| | - Saeed Alipour Parsa
- Cardiovascular Research CenterShahid Beheshti University of Medical SciencesTehranIran
| | | | - Mohammad Reza Beyranvand
- Department of CardiologyTaleghani Hospital, Shahid Beheshti University of Medical SciencesTehranIran
| | - Nasim Sohrabifar
- Cardiovascular Research CenterShahid Beheshti University of Medical SciencesTehranIran
| | | | - Fatemeh Pourmotahari
- Department of Community MedicineSchool of Medicine, Dezful University of Medical SciencesDezfulIran
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Mo S, Hu J, Yu C, Bao J, Shi Z, Zhou P, Yang Z, Luo S, Yin Z, Zhang Y. Short-term effects of fine particulate matter constituents on myocardial infarction death. J Environ Sci (China) 2023; 133:60-69. [PMID: 37451789 DOI: 10.1016/j.jes.2022.07.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 07/07/2022] [Accepted: 07/11/2022] [Indexed: 07/18/2023]
Abstract
Existing evidence suggested that short-term exposure to fine particulate matter (PM2.5) may increase the risk of death from myocardial infarction (MI), while PM2.5 constituents responsible for this association has not been determined. We collected 12,927 MI deaths from 32 counties in southern China during 2011-2013. County-level exposures of ambient PM2.5 and its 5 constituents (i.e., elemental carbon (EC), organic carbon (OC), sulfate (SO42-), ammonium (NH4+), and nitrate (NO3-)) were aggregated from gridded datasets predicted by Community Multiscale Air Quality Modeling System. We employed a space-time-stratified case-crossover design and conditional logistic regression models to quantify the association of MI mortality with short-term exposure to PM2.5 and its constituents across various lag days. Over the study period, the daily mean PM2.5 mass concentration was 77.8 (standard deviation (SD) = 72.7) µg/m3. We estimated an odds ratio of 1.038 (95% confidence interval (CI): 1.003-1.074), 1.038 (1.013-1.063) and 1.057 (1.023-1.097) for MI mortality associated with per interquartile range (IQR) increase in the 3-day moving-average exposure to PM2.5 (IQR = 76.3 µg/m3), EC (4.1 µg/m3) and OC (9.1 µg/m3), respectively. We did not identify significant association between MI death and exposure to water-soluble ions (SO42-, NH4+ and NO3-). Likelihood ratio tests supported no evident violations of linear assumptions for constituents-MI associations. Subgroup analyses showed stronger associations between MI death and EC/OC exposure in the elderly, males and cold months. Short-term exposure to PM2.5 constituents, particularly those carbonaceous aerosols, was associated with increased risks of MI mortality.
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Affiliation(s)
- Shaocai Mo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Jianlin Hu
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Junzhe Bao
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Zhihao Shi
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Peixuan Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Zhiming Yang
- School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
| | - Siqi Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Zhouxin Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China.
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Ortiz LE, Stiles R, Whitaker S, Maibach E, Kinter J, Henneman L, Krall J, Bubbosh P, Cash B. Public health benefits of zero-emission electric power generation in Virginia. Heliyon 2023; 9:e20198. [PMID: 37809521 PMCID: PMC10559951 DOI: 10.1016/j.heliyon.2023.e20198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 09/12/2023] [Accepted: 09/13/2023] [Indexed: 10/10/2023] Open
Abstract
Curbing the worst impacts of global climate change will require rapidly transitioning away from fossil fuel across all sectors of the economy. This transition will also yield substantial co-benefits, as fossil fuel combustion releases harmful pollutants into the air. In this article, we present an analysis of the co-benefits to health and health-care costs related from decarbonization of the power sector, using the Virginia Clean Economy Act (VCEA) as a case study. Using a model that combines a source-response matrix approach to pollutant concentration modelling tied to health impact functions, our analysis shows that, by 2045, the VCEA will save up to 32 lives per year across the state, and avoid up to $355 million per year in health-related costs. Fossil-fuel free generation will also help the most disadvantaged communities, as counties in the highest poverty rate quintile also avoid the most pollutant-related deaths.
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Affiliation(s)
- Luis E. Ortiz
- Virginia Climate Center, George Mason University, Fairfax, VA, USA
- Department of Atmospheric, Oceanic, and Earth Sciences, George Mason University, Fairfax, VA, USA
- Center for Ocean, Land and Atmosphere Studies, George Mason University, Fairfax, VA, USA
| | - Reilly Stiles
- Virginia Climate Center, George Mason University, Fairfax, VA, USA
- Department of Atmospheric, Oceanic, and Earth Sciences, George Mason University, Fairfax, VA, USA
| | - Sophia Whitaker
- Virginia Climate Center, George Mason University, Fairfax, VA, USA
| | - Edward Maibach
- Virginia Climate Center, George Mason University, Fairfax, VA, USA
- Center for Climate Change Communication, George Mason University, Fairfax, VA, USA
| | - James Kinter
- Virginia Climate Center, George Mason University, Fairfax, VA, USA
- Department of Atmospheric, Oceanic, and Earth Sciences, George Mason University, Fairfax, VA, USA
- Center for Ocean, Land and Atmosphere Studies, George Mason University, Fairfax, VA, USA
| | - Lucas Henneman
- Virginia Climate Center, George Mason University, Fairfax, VA, USA
- Department of Civil, Environmental And Infrastructure Engineering, George Mason University, Fairfax, VA, USA
| | - Jenna Krall
- Virginia Climate Center, George Mason University, Fairfax, VA, USA
- Department of Global and Community Health, George Mason University, Fairfax, VA, USA
| | - Paul Bubbosh
- Virginia Climate Center, George Mason University, Fairfax, VA, USA
- Schar School of Policy and Government, George Mason University, Fairfax, VA, USA
| | - Benjamin Cash
- Virginia Climate Center, George Mason University, Fairfax, VA, USA
- Department of Atmospheric, Oceanic, and Earth Sciences, George Mason University, Fairfax, VA, USA
- Center for Ocean, Land and Atmosphere Studies, George Mason University, Fairfax, VA, USA
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15
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Wang Q, Wang Z, Chen M, Mu W, Xu Z, Xue M. Causality of particulate matter on cardiovascular diseases and cardiovascular biomarkers. Front Public Health 2023; 11:1201479. [PMID: 37732088 PMCID: PMC10507646 DOI: 10.3389/fpubh.2023.1201479] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/31/2023] [Indexed: 09/22/2023] Open
Abstract
Background Previous observational studies have shown that the prevalence of cardiovascular diseases (CVDs) is related to particulate matter (PM). However, given the methodological limitations of conventional observational research, it is difficult to identify causality conclusively. To explore the causality of PM on CVDs and cardiovascular biomarkers, we conducted a Mendelian randomization (MR) analysis. Method In this study, we obtained summary-level data for CVDs and cardiovascular biomarkers including atrial fibrillation (AF), heart failure (HF), myocardial infarction (MI), ischemic stroke (IS), stroke subtypes, body mass index (BMI), lipid traits, fasting glucose, fasting insulin, and blood pressure from several large genome-wide association studies (GWASs). Then we used two-sample MR to assess the causality of PM on CVDs and cardiovascular biomarkers, 16 single nucleotide polymorphisms (SNPs) for PM2.5 and 6 SNPs for PM10 were obtained from UK Biobank participants. Inverse variance weighting (IVW) analyses under the fixed effects model were used as the main analytical method to calculate MR Estimates, followed by multiple sensitivity analyses to confirm the robustness of the results. Results Our study revealed increases in PM2.5 concentration were significantly related to a higher risk of MI (odds ratio (OR), 2.578; 95% confidence interval (CI), 1.611-4.127; p = 7.920 × 10-5). Suggestive evidence was found between PM10 concentration and HF (OR, 2.015; 95% CI, 1.082-3.753; p = 0.027) and IS (OR, 2.279; 95% CI,1.099-4.723; p = 0.027). There was no evidence for an effect of PM concentration on other CVDs. Furthermore, PM2.5 concentration increases were significantly associated with increases in triglyceride (TG) (OR, 1.426; 95% CI, 1.133-1.795; p = 2.469 × 10-3) and decreases in high-density lipoprotein cholesterol (HDL-C) (OR, 0.779; 95% CI, 0.615-0.986; p = 0.038). The PM10 concentration increases were also closely related to the decreases in HDL-C (OR, 0.563; 95% CI, 0.366-0.865; p = 8.756 × 10-3). We observed no causal effect of PM on other cardiovascular biomarkers. Conclusion At the genetic level, our study suggested the causality of PM2.5 on MI, TG, as well HDL-C, and revealed the causality of PM10 on HF, IS, and HDL-C. Our findings indicated the need for continued improvements in air pollution abatement for CVDs prevention.
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Affiliation(s)
- Qiubo Wang
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhimiao Wang
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Mingyou Chen
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Wei Mu
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Zhenxing Xu
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Mei Xue
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
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Wongnakae P, Chitchum P, Sripramong R, Phosri A. Application of satellite remote sensing data and random forest approach to estimate ground-level PM 2.5 concentration in Northern region of Thailand. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:88905-88917. [PMID: 37442931 DOI: 10.1007/s11356-023-28698-0] [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: 02/15/2023] [Accepted: 07/05/2023] [Indexed: 07/15/2023]
Abstract
Numerous epidemiological studies have shown that particulate matter with aerodynamic diameter up to 2.5 μm (PM2.5) is associated with many health consequences, where PM2.5 concentration obtained from the monitoring station was normally applied as the exposure level, so that the concentration of PM2.5 in unmonitored areas has not been captured. The satellite-derived aerosol optical depth (AOD) product is then used to spatially predict ground truth of PM2.5 concentration that covers the locations with no air quality monitoring station, but this method has seldom been developed in Thailand. This study aimed at estimating ground-level PM2.5 concentration at 3 km × 3 km spatial resolution over Northern region of Thailand in 2021 using the random forest model integrating the Moderate Resolution Imaging Spectroradiometer (MODIS) AOD products from Terra and Aqua satellites, meteorological factors, and land use data. A random forest model contained 100 decision trees was utilized to train the model, and 10-fold cross-validation approach was implemented to validate the model performance. The good consistency between actual (observed) and predicted concentrations of PM2.5 in Northern region of Thailand was observed, where a coefficient of determination (R2) and root mean square error (RMSE) of the model fitting were 0.803 and 14.30 μg/m3, respectively, and those of 10-fold cross-validation approach were 0.796 and 14.64 μg/m3, respectively. The three most important predictors for estimating the ground-level concentrations of PM2.5 in this study were normalized difference vegetation index (NDVI), relative humidity, and number of fire hotspot, respectively. Findings from this study revealed that integrating the MODIS AOD, meteorological variables, and land use data into the random forest model precisely and accurately estimated ground-level PM2.5 concentration over Northern region of Thailand that can be further used to investigate the effects of PM2.5 exposure on health consequences, even in unmonitored locations, in epidemiological studies.
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Affiliation(s)
- Pimchanok Wongnakae
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400, Thailand
| | - Pakkapong Chitchum
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400, Thailand
| | - Rungduen Sripramong
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400, Thailand
| | - Arthit Phosri
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400, Thailand.
- Center of Excellence on Environmental Health and Toxicology (EHT), OPS, Ministry of Higher Education, Research, Science and Innovation, Bangkok, Thailand.
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Doubleday A, Sheppard L, Austin E, Busch Isaksen T. Wildfire smoke exposure and emergency department visits in Washington State. ENVIRONMENTAL RESEARCH, HEALTH : ERH 2023; 1:025006. [PMID: 37252333 PMCID: PMC10213826 DOI: 10.1088/2752-5309/acd3a1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 04/27/2023] [Accepted: 05/09/2023] [Indexed: 05/31/2023]
Abstract
Wildfires are increasing in prevalence in western North America due to changing climate conditions. A growing number of studies examine the impact of wildfire smoke on morbidity; however, few evaluate these impacts using syndromic surveillance data that cover many emergency departments (EDs). We used syndromic surveillance data to explore the effect of wildfire smoke exposure on all-cause respiratory and cardiovascular ED visits in Washington state. Using a time-stratified case crossover design, we observed an increased odds of asthma visits immediately after and in all five days following initial exposure (lag 0 OR: 1.13; 95% CI: 1.10, 1.17; lag 1-5 ORs all 1.05 or greater with a lower CI of 1.02 or higher), and an increased odds of respiratory visits in all five days following initial exposure (lag 1 OR: 1.02; 95% CI: 1.00, 1.03; lag 2-5 ORs and lower CIs were all at least as large) comparing wildfire smoke to non-wildfire smoke days. We observed mixed results for cardiovascular visits, with evidence of increased odds emerging only several days following initial exposure. We also found increased odds across all visit categories for a 10 μg m-3 increase in smoke-impacted PM2.5. In stratified analyses, we observed elevated odds for respiratory visits among ages 19-64, for asthma visits among ages 5-64, and mixed risk estimates for cardiovascular visits by age group. This study provides evidence of an increased risk of respiratory ED visits immediately following initial wildfire smoke exposure, and increased risk of cardiovascular ED visits several days following initial exposure. These increased risks are seen particularly among children and younger to middle-aged adults.
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Affiliation(s)
- Annie Doubleday
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States of America
| | - Lianne Sheppard
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States of America
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Elena Austin
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States of America
| | - Tania Busch Isaksen
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States of America
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Hasegawa K, Tsukahara T, Nomiyama T. Short-term associations of low-level fine particulate matter (PM 2.5) with cardiorespiratory hospitalizations in 139 Japanese cities. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 258:114961. [PMID: 37137261 DOI: 10.1016/j.ecoenv.2023.114961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/09/2023] [Accepted: 04/24/2023] [Indexed: 05/05/2023]
Abstract
There have been few studies in non-western countries on the relationship between low levels of daily fine particulate matter (PM2.5) exposure and morbidity or mortality, and the impact of PM2.5 concentrations below 15 μg/m3, which is the latest World Health Organization Air Quality Guideline (WHO AQG) value for the 24-h mean, is not yet clear. We assessed the associations between low-level PM2.5 exposure and cardiorespiratory admissions in Japan. We collected the daily hospital admission count data, air pollutant data, and meteorological condition data recorded from April 2016 to March 2019 in 139 Japanese cities. City-specific estimates were obtained from conditional logistic regression models in a time-stratified case-crossover design and pooled by random-effect models. We estimated that every 10-μg/m3 increase in the concurrent-day PM2.5 concentration was related to a 0.52% increase in cardiovascular admissions (95% CI: 0.13-0.92%) and a 1.74% increase in respiratory admissions (95% CI: 1.41-2.07%). These values were nearly the same when the datasets were filtered to contain only daily PM2.5 concentrations <15 μg/m3. The exposure-response curves showed approximately sublinear-to-linear curves with no indication of thresholds. These associations with cardiovascular diseases weakened after adjusting for nitrogen dioxide or sulfur dioxide, but associations with respiratory diseases were almost unchanged when additionally adjusted for other pollutants. This study demonstrated that associations between daily PM2.5 and daily cardiorespiratory hospitalizations might persist at low concentrations, including those below the latest WHO AQG value. Our findings suggest that the updated guideline value may still be insufficient from the perspective of public health.
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Affiliation(s)
- Kohei Hasegawa
- Department of Preventive Medicine and Public Health, School of Medicine, Shinshu University, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan.
| | - Teruomi Tsukahara
- Department of Preventive Medicine and Public Health, School of Medicine, Shinshu University, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan; Department of Occupational Medicine, School of Medicine, Shinshu University, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan
| | - Tetsuo Nomiyama
- Department of Preventive Medicine and Public Health, School of Medicine, Shinshu University, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan; Department of Occupational Medicine, School of Medicine, Shinshu University, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan
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Applying principal component pursuit to investigate the association between source-specific fine particulate matter and myocardial infarction hospitalizations in New York City. Environ Epidemiol 2023; 7:e243. [PMID: 37064426 PMCID: PMC10097537 DOI: 10.1097/ee9.0000000000000243] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 01/20/2023] [Indexed: 02/17/2023] Open
Abstract
The association between fine particulate matter (PM2.5) and cardiovascular outcomes is well established. To evaluate whether source-specific PM2.5 is differentially associated with cardiovascular disease in New York City (NYC), we identified PM2.5 sources and examined the association between source-specific PM2.5 exposure and risk of hospitalization for myocardial infarction (MI). Methods We adapted principal component pursuit (PCP), a dimensionality-reduction technique previously used in computer vision, as a novel pattern recognition method for environmental mixtures to apportion speciated PM2.5 to its sources. We used data from the NY Department of Health Statewide Planning and Research Cooperative System of daily city-wide counts of MI admissions (2007-2015). We examined associations between same-day, lag 1, and lag 2 source-specific PM2.5 exposure and MI admissions in a time-series analysis, using a quasi-Poisson regression model adjusting for potential confounders. Results We identified four sources of PM2.5 pollution: crustal, salt, traffic, and regional and detected three single-species factors: cadmium, chromium, and barium. In adjusted models, we observed a 0.40% (95% confidence interval [CI]: -0.21, 1.01%) increase in MI admission rates per 1 μg/m3 increase in traffic PM2.5, a 0.44% (95% CI: -0.04, 0.93%) increase per 1 μg/m3 increase in crustal PM2.5, and a 1.34% (95% CI: -0.46, 3.17%) increase per 1 μg/m3 increase in chromium-related PM2.5, on average. Conclusions In our NYC study, we identified traffic, crustal dust, and chromium PM2.5 as potentially relevant sources for cardiovascular disease. We also demonstrated the potential utility of PCP as a pattern recognition method for environmental mixtures.
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Chen D, Sandler DP, Keil AP, Heiss G, Whitsel EA, Pratt GC, Stewart PA, Stenzel MR, Groth CP, Banerjee S, Huynh TB, Edwards JK, Jackson WB, Engeda J, Kwok RK, Werder EJ, Lawrence KG, Engel LS. Fine particulate matter and incident coronary heart disease events up to 10 years of follow-up among Deepwater Horizon oil spill workers. ENVIRONMENTAL RESEARCH 2023; 217:114841. [PMID: 36403648 PMCID: PMC9825646 DOI: 10.1016/j.envres.2022.114841] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/05/2022] [Accepted: 11/15/2022] [Indexed: 05/31/2023]
Abstract
BACKGROUND During the 2010 Deepwater Horizon (DWH) disaster, in-situ burning and flaring were conducted to remove oil from the water. Workers near combustion sites were potentially exposed to burning-related fine particulate matter (PM2.5). Exposure to PM2.5 has been linked to increased risk of coronary heart disease (CHD), but no study has examined the relationship among oil spill workers. OBJECTIVES To investigate the association between estimated PM2.5 from burning/flaring of oil/gas and CHD risk among the DWH oil spill workers. METHODS We included workers who participated in response and cleanup activities on the water during the DWH disaster (N = 9091). PM2.5 exposures were estimated using a job-exposure matrix that linked modelled PM2.5 concentrations to detailed DWH spill work histories provided by participants. We ascertained CHD events as the first self-reported physician-diagnosed CHD or a fatal CHD event that occurred after each worker's last day of burning exposure. We estimated hazard ratios (HR) and 95% confidence intervals (95%CI) for the associations between categories of average or cumulative daily maximum PM2.5 exposure (versus a referent category of water workers not near controlled burning) and subsequent CHD. We assessed exposure-response trends by examining continuous exposure parameters in models. RESULTS We observed increased CHD hazard among workers with higher levels of average daily maximum exposure (low vs. referent: HR = 1.26, 95% CI: 0.93, 1.70; high vs. referent: HR = 2.11, 95% CI: 1.08, 4.12; per 10 μg/m3 increase: HR = 1.10, 95% CI: 1.02, 1.19). We also observed suggestively elevated HRs among workers with higher cumulative daily maximum exposure (low vs. referent: HR = 1.19, 95% CI: 0.68, 2.08; medium vs. referent: HR = 1.38, 95% CI: 0.88, 2.16; high vs. referent: HR = 1.44, 95% CI: 0.96, 2.14; per 100 μg/m3-d increase: HR = 1.03, 95% CI: 1.00, 1.05). CONCLUSIONS Among oil spill workers, exposure to PM2.5 from flaring/burning of oil/gas was associated with increased risk of CHD.
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Affiliation(s)
- Dazhe Chen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Alexander P Keil
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Gerardo Heiss
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gregory C Pratt
- Division of Environmental Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | | | - Mark R Stenzel
- Exposure Assessment Applications, LLC, Arlington, VA, USA
| | - Caroline P Groth
- Department of Epidemiology and Biostatistics, School of Public Health, West Virginia University, Morgantown, WV, USA
| | - Sudipto Banerjee
- Department of Biostatistics, Fielding School of Public Health, University of California - Los Angeles, Los Angeles, CA, USA
| | - Tran B Huynh
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Jessie K Edwards
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - W Braxton Jackson
- Social & Scientific Systems, Inc, a DLH Holdings Company, Durham, NC, USA
| | - Joseph Engeda
- Social & Scientific Systems, Inc, a DLH Holdings Company, Durham, NC, USA
| | - Richard K Kwok
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA; Office of the Director, National Institute of Environmental Health Sciences, Bethesda, MD, USA
| | - Emily J Werder
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Kaitlyn G Lawrence
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Lawrence S Engel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
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21
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Feng S, Huang F, Zhang Y, Feng Y, Zhang Y, Cao Y, Wang X. The pathophysiological and molecular mechanisms of atmospheric PM 2.5 affecting cardiovascular health: A review. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 249:114444. [PMID: 38321663 DOI: 10.1016/j.ecoenv.2022.114444] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 02/08/2024]
Abstract
BACKGROUND Exposure to ambient fine particulate matter (PM2.5, with aerodynamic diameter less than 2.5 µm) is a leading environmental risk factor for global cardiovascular health concern. OBJECTIVE To provide a roadmap for those new to this field, we reviewed the new insights into the pathophysiological and cellular/molecular mechanisms of PM2.5 responsible for cardiovascular health. MAIN FINDINGS PM2.5 is able to disrupt multiple physiological barriers integrity and translocate into the systemic circulation and get access to a range of secondary target organs. An ever-growing body of epidemiological and controlled exposure studies has evidenced a causal relationship between PM2.5 exposure and cardiovascular morbidity and mortality. A variety of cellular and molecular biology mechanisms responsible for the detrimental cardiovascular outcomes attributable to PM2.5 exposure have been described, including metabolic activation, oxidative stress, genotoxicity, inflammation, dysregulation of Ca2+ signaling, disturbance of autophagy, and induction of apoptosis, by which PM2.5 exposure impacts the functions and fates of multiple target cells in cardiovascular system or related organs and further alters a series of pathophysiological processes, such as cardiac autonomic nervous system imbalance, increasing blood pressure, metabolic disorder, accelerated atherosclerosis and plaque vulnerability, platelet aggregation and thrombosis, and disruption in cardiac structure and function, ultimately leading to cardiovascular events and death. Therein, oxidative stress and inflammation were suggested to play pivotal roles in those pathophysiological processes. CONCLUSION Those biology mechanisms have deepen insights into the etiology, course, prevention and treatment of this public health concern, although the underlying mechanisms have not yet been entirely clarified.
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Affiliation(s)
- Shaolong Feng
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin 541199, China; Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou 510640, China; The State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China.
| | - Fangfang Huang
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin 541199, China
| | - Yuqi Zhang
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin 541199, China
| | - Yashi Feng
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin 541199, China
| | - Ying Zhang
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin 541199, China
| | - Yunchang Cao
- The Department of Molecular Biology, School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, China
| | - Xinming Wang
- Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou 510640, China; The State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
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22
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Dwivedi AK, Vishwakarma D, Dubey P, Reddy SY. Air Pollution and the Heart: Updated Evidence from Meta-analysis Studies. Curr Cardiol Rep 2022; 24:1811-1835. [PMID: 36434404 DOI: 10.1007/s11886-022-01819-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/18/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE OF REVIEW Although environmental exposure such as air pollution is detrimental to cardiovascular disease (CVD), the effects of different air pollutants on different CVD endpoints produced variable findings. We provide updated evidence between air pollutants and CVD outcomes including mitigation strategies with meta-analytic evidence. RECENT FINDINGS An increased exposure to any class of air pollutants including particulate matter (PM), gas, toxic metals, and disruptive chemicals has been associated with CVD events. Exposure to PM < 2.5 μm has been consistently associated with most heart diseases and stroke as well as CVDs among at-risk individuals. Despite this, there is no clinical approach available for systemic evaluation of air pollution exposure and management. A large number of epidemiological evidence clearly suggests the importance of air pollution prevention and control for reducing the risk of CVDs and mortality. Cost-effective and feasible strategies for air pollution monitoring, screening, and necessary interventions are urgently required among at-risk populations and those living or working, or frequently commuting in polluted areas.
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Affiliation(s)
- Alok Kumar Dwivedi
- Division of Biostatistics & Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, 5001, El Paso Drive, El Paso, TX, 79905, USA. .,Biostatistics and Epidemiology Consulting Lab, Office of Research, Texas Tech University Health Sciences Center El Paso, El Paso, TX, USA.
| | - Deepanjali Vishwakarma
- Division of Biostatistics & Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, 5001, El Paso Drive, El Paso, TX, 79905, USA
| | - Pallavi Dubey
- Department of Obstetrics and Gynecology, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, USA
| | - Sireesha Y Reddy
- Department of Obstetrics and Gynecology, Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, TX, USA
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23
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Bista S, Fancello G, Chaix B. Acute ambulatory blood pressure response to short-term black carbon exposure: The MobiliSense sensor-based study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 846:157350. [PMID: 35870594 DOI: 10.1016/j.scitotenv.2022.157350] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 07/07/2022] [Accepted: 07/10/2022] [Indexed: 06/15/2023]
Abstract
Documented relationships between black carbon (BC) exposure and blood pressure (BP) have been inconsistent. Very few studies measured both BC exposure and ambulatory BP across the multiple daily environments visited in the general population, and none adjusted for personal noise exposure, a major confounder. Our study addresses these gaps by considering 245 adults living in the Grand Paris region. Personal exposure to BC was monitored for 2 days using AE51 microaethalometers. Ambulatory BP was measured every 30 min after waking up using Arteriograph 24 monitors (n = 6772). Mixed effect models with a random intercept at the individual level and time-autocorrelation structure adjusted for personal noise exposure were used to evaluate the associations between BC exposure (averaged from 5 min to 1 h before each BP measurement) and BP. To increase the robustness of findings, we eliminated confounding by unmeasured time-invariant personal variables, by modelling the associations with fixed-effect models. All models were adjusted for potential confounders and short-term time trends. Results from mixed models show that a 1-μg/m3 increase in 5-minute averaged BC exposure was associated with an increase of 0.57 mmHg in ambulatory systolic blood pressure (SBP) (95 % CI: 0.30, 0.83) and with an increase of 0.36 mmHg in diastolic blood pressure (DBP) (95 % CI: 0.14, 0.58). The slope of the exposure-response relationship gradually decreased for both SBP and DBP with the increase in the averaging period of BC exposure from 5 min to 1 h preceding each BP measurement. Findings from the fixed-effect models were consistent with these results. There was no effect modification by noise in the associations, across all exposure windows. We found evidence of a relationship between BC exposure and acute increase in ambulatory SBP and DBP after adjustment for personal noise exposure, with potential implications for the development of adverse cardiovascular outcomes.
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Affiliation(s)
- Sanjeev Bista
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Nemesis team, Faculté de Médecine Saint-Antoine, 27 rue Chaligny, 75012 Paris, France.
| | - Giovanna Fancello
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Nemesis team, Faculté de Médecine Saint-Antoine, 27 rue Chaligny, 75012 Paris, France
| | - Basile Chaix
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Nemesis team, Faculté de Médecine Saint-Antoine, 27 rue Chaligny, 75012 Paris, France
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24
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Mehmood U, Tariq S, Haq ZU, Agyekum EB, Uhunamure SE, Shale K, Nawaz H, Ali S, Hameed A. Financial Institutional and Market Deepening, and Environmental Quality Nexus: A Case Study in G-11 Economies Using CS-ARDL. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11984. [PMID: 36231285 PMCID: PMC9565658 DOI: 10.3390/ijerph191911984] [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: 08/14/2022] [Revised: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 05/05/2023]
Abstract
This study presents a new insight into the dynamic relationship between financial institutional deepening (FID), financial deepening, financial market deepening (FMD), foreign direct investment (FDI), economic growth (GDP), population, and carbon dioxide emissions (CO2e) in the G-11 economies by employing a cross-sectionally augmented autoregressive distributed lag (CS-ARDL) approach during 1990-2019. The outcomes from the CS-ARDL and dynamic common correlated effects mean group (DCCEMG) models shows that financial deepening, GDP, FDI, and population degraded environmental quality both in the short run and the long run. Contrary to this, FID and FMD improves environmental quality in these countries. The government should work to maximize financial institutions (access, depth, efficiency) and financial markets (access, depth, efficiency) to reduce the CO2e. A strong positive and in-phase correlation of CO2e with economic growth and population is observed for G-11 countries. These results suggest policy makers should further improve financial institutions by creating opportunities for their populations. Moreover, the governments of G-11 countries should revise their foreign direct investment policies and attention should be given to import efficient means of energy production.
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Affiliation(s)
- Usman Mehmood
- Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Centre for Remote Sensing, University of the Punjab, Lahore 54590, Pakistan
- Department of Political Science, University of Management and Technology, Lahore 54590, Pakistan
| | - Salman Tariq
- Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Department of Space Science, University of the Punjab, Lahore 54590, Pakistan
| | - Zia ul Haq
- Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Department of Space Science, University of the Punjab, Lahore 54590, Pakistan
| | - Ephraim Bonah Agyekum
- Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris Yeltsin, 19 Mira Street, Eka-Terinburg 620002, Russia
| | - Solomon Eghosa Uhunamure
- Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town 8000, South Africa
| | - Karabo Shale
- Faculty of Applied Sciences, Cape Peninsula University of Technology, P.O. Box 652, Cape Town 8000, South Africa
| | - Hasan Nawaz
- Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Centre for Remote Sensing, University of the Punjab, Lahore 54590, Pakistan
| | - Shafqat Ali
- Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Centre for Remote Sensing, University of the Punjab, Lahore 54590, Pakistan
| | - Ammar Hameed
- Remote Sensing, GIS and Climatic Research Lab, National Center of GIS and Space Applications, Centre for Remote Sensing, University of the Punjab, Lahore 54590, Pakistan
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25
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Sun Q, Cao B, Jiang Y, Zhuang J, Zhang C, Jiang B. Association between ambient particulate matter (PM 2.5/PM 10) and first incident ST-elevation myocardial infarction in Suzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:62690-62697. [PMID: 35404033 DOI: 10.1007/s11356-022-20150-z] [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: 01/01/2022] [Accepted: 04/04/2022] [Indexed: 06/14/2023]
Abstract
Interests in evaluation of the effect of air pollution and weather conditions on cardiovascular disease have increased. However, the relationship between short-term particulate matter (PM) exposure and first incident ST-elevation myocardial infarction (STEMI) remains unclear. Medical records were collected from December 2013 to December 2016. A total of 1354 patients with first incident STEMI were included. The daily average of air pollution and weather conditions were calculated. In this case-crossover study, conditional logistic regression was performed to assess the association between daily concentrations of PM and first incident STEMI. The daily average of PM2.5 and PM10 were 58.9 μg/m3 and 80.2 μg/m3, respectively. In this case-crossover study, single-pollutant models showed that each 10 μg/m3 increase in PM2.5 was associated with a percent change of 3.36, 95% confidence interval (CI): (1.01-5.77), or in PM10 percent change of 2.1%, 95%CI: (0.2-4.04) for patients with first incident STEMI. The association remained stable after adjusting for ozone (O3). The results from subgroup analysis showed the association slightly enhanced in women, elder patients, patients with history of diabetes, patients without history of smoking, and cold seasons. The p values were not significant between these strata, which may be due to small sample size. This investigation showed that short-term PM exposure associated with first incident STEMI in Suzhou. Given the effect of PM on the first incident STEMI, strategies to decrease PM should be considered.
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Affiliation(s)
- Qian Sun
- Department of Pulmonary and Critical Care Medicine, the Affiliated Hospital 4 of Nantong University, the First Hospital of Yancheng, Yancheng City, Jiangsu Province, China
| | - Bangming Cao
- Department of Cardiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai City, Shandong Province, China
| | - Yufeng Jiang
- Department of Cardiology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou City, Jiangsu Province, China
| | - Jin Zhuang
- Department of Pulmonary and Critical Care Medicine, the Affiliated Hospital 4 of Nantong University, the First Hospital of Yancheng, Yancheng City, Jiangsu Province, China
| | - Chi Zhang
- Department of Cardiology, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, China.
| | - Bin Jiang
- Department of Cardiology, the First Affiliated Hospital of Soochow University, Suzhou City, Jiangsu Province, China
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26
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Peng-in B, Sanitluea P, Monjatturat P, Boonkerd P, Phosri A. Estimating ground-level PM 2.5 over Bangkok Metropolitan Region in Thailand using aerosol optical depth retrieved by MODIS. AIR QUALITY, ATMOSPHERE, & HEALTH 2022; 15:2091-2102. [PMID: 36043224 PMCID: PMC9411850 DOI: 10.1007/s11869-022-01238-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 08/15/2022] [Indexed: 06/15/2023]
Abstract
UNLABELLED A number of previous studies have shown that statistical model with a combination of satellite-derived aerosol optical depth (AOD) and PM2.5 measured by the monitoring stations could be applied to predict spatial ground-level PM2.5 concentration, but few studies have been conducted in Thailand. This study aimed to estimate ground-level PM2.5 over the Bangkok Metropolitan Region in 2020 using linear regression model that incorporates the Moderate Resolution Imaging Spectroradiometer (MODIS) AOD measurements and other air pollutants, as well as various meteorological factors and greenness indicators into the model. The 12-fold cross-validation technique was used to examine the accuracy of model performance. The annual mean (standard deviation) concentration of observed PM2.5 was 22.37 (± 12.55) µg/m3 and the mean (standard deviation) of PM2.5 during summer, winter, and rainy season was 18.36 (± 7.14) µg/m3, 33.60 (± 14.48) µg/m3, and 15.30 (± 4.78) µg/m3, respectively. The cross-validation yielded R 2 of 0.48, 0.55, 0.21, and 0.52 with the average of predicted PM2.5 concentration of 22.25 (± 9.97) µg/m3, 21.68 (± 9.14) µg/m3, 29.43 (± 9.45) µg/m3, and 15.74 (± 5.68) µg/m3 for the year round, summer, winter, and rainy season, respectively. We also observed that integrating NO2 and O3 into the regression model improved the prediction accuracy significantly for a year round, summer, winter, and rainy season over the Bangkok Metropolitan Region. In conclusion, estimating ground-level PM2.5 concentration from the MODIS AOD measurement using linear regression model provided the satisfactory model performance when incorporating many possible predictor variables that would affect the association between MODIS AOD and PM2.5 concentration. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11869-022-01238-4.
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Affiliation(s)
- Bussayaporn Peng-in
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Peeyaporn Sanitluea
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Pimnapat Monjatturat
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Pattaraporn Boonkerd
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
| | - Arthit Phosri
- Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, 4th Floor, 2nd Building, Rajvithi Road, Bangkok, 10400 Thailand
- Center of Excellence on Environmental Health and Toxicology (EHT), OPS, Ministry of Higher Education, Research, Science and Innovation, Bangkok, Thailand
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27
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Shamsa EH, Song Z, Kim H, Shamsa F, Hazlett LD, Zhang K. The links of fine airborne particulate matter exposure to occurrence of cardiovascular and metabolic diseases in Michigan, USA. PLOS GLOBAL PUBLIC HEALTH 2022; 2:e0000707. [PMID: 36962575 PMCID: PMC10021276 DOI: 10.1371/journal.pgph.0000707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/13/2022] [Indexed: 11/18/2022]
Abstract
Air pollutants, particularly airborne particulate matter with aerodynamic diameter < 2.5μm (PM2.5), have been linked to the increase in mortality and morbidity associated with cardiovascular and metabolic diseases. In this study, we investigated the dose-risk relationships between PM2.5 concentrations and occurrences of cardiovascular and metabolic diseases as well as the confounding socioeconomic factors in Michigan, USA, where PM2.5 levels are generally considered acceptable. Multivariate linear regression analyses were performed to investigate the relationship between health outcome and annual ground-level PM2.5 concentrations of 82 counties in Michigan. The analyses revelated significant linear dose-response associations between PM2.5 concentrations and cardiovascular disease (CVD) hospitalization. A 10 μg/m3 increase in PM2.5 exposure was found to be associated with a 3.0% increase in total CVD, 0.45% increase in Stroke, and a 0.3% increase in Hypertension hospitalization rates in Medicare beneficiaries. While the hospitalization rates of Total Stroke, Hemorrhagic Stroke, and Hypertension in urbanized counties were significantly higher than those of rural counties, the death rates of coronary heart disease and ischemic stroke in urbanized counties were significantly lower than those of rural counties. These results were correlated with the facts that PM2.5 levels in urbanized counties were significantly higher than that in rural counties and that the percentage of the population with health insurance and the median household income in rural counties were significantly lower. While obesity prevalence showed evidence of a weak positive correlation (ρ = 0.20, p-value = 0.078) with PM2.5 levels, there was no significant dose-response association between county diabetes prevalence rates and PM2.5 exposure in Michigan. In summary, this study revealed strong dose-response associations between PM2.5 concentrations and CVD incidence in Michigan, USA. The socioeconomic factors, such as access to healthcare resources and median household income, represent important confounding factors that could override the impact of PM2.5 exposure on CVD mortality.
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Affiliation(s)
- El Hussain Shamsa
- Center for Molecular Medicine & Genetics, The Wayne State University School of Medicine, Detroit, MI, United States of America
| | - Zhenfeng Song
- Center for Molecular Medicine & Genetics, The Wayne State University School of Medicine, Detroit, MI, United States of America
| | - Hyunbae Kim
- Center for Molecular Medicine & Genetics, The Wayne State University School of Medicine, Detroit, MI, United States of America
| | - Falah Shamsa
- Cancer Coalition of Georgia, Atlanta, GA, United States of America
| | - Linda D. Hazlett
- Ophthalmology, Visual and Anatomical Sciences, The Wayne State University School of Medicine, Detroit, MI, United States of America
| | - Kezhong Zhang
- Center for Molecular Medicine & Genetics, The Wayne State University School of Medicine, Detroit, MI, United States of America
- Department of Immunology and Microbiology, The Wayne State University School of Medicine, Detroit, MI, United States of America
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28
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Basith S, Manavalan B, Shin TH, Park CB, Lee WS, Kim J, Lee G. The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible Killer. NANOMATERIALS 2022; 12:nano12152656. [PMID: 35957086 PMCID: PMC9370264 DOI: 10.3390/nano12152656] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/29/2022] [Accepted: 07/30/2022] [Indexed: 12/26/2022]
Abstract
Air pollution exerts several deleterious effects on the cardiovascular system, with cardiovascular disease (CVD) accounting for 80% of all premature deaths caused by air pollution. Short-term exposure to particulate matter 2.5 (PM2.5) leads to acute CVD-associated deaths and nonfatal events, whereas long-term exposure increases CVD-associated risk of death and reduces longevity. Here, we summarize published data illustrating how PM2.5 may impact the cardiovascular system to provide information on the mechanisms by which it may contribute to CVDs. We provide an overview of PM2.5, its associated health risks, global statistics, mechanistic underpinnings related to mitochondria, and hazardous biological effects. We elaborate on the association between PM2.5 exposure and CVD development and examine preventive PM2.5 exposure measures and future strategies for combating PM2.5-related adverse health effects. The insights gained can provide critical guidelines for preventing pollution-related CVDs through governmental, societal, and personal measures, thereby benefitting humanity and slowing climate change.
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Affiliation(s)
- Shaherin Basith
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
| | - Balachandran Manavalan
- Computational Biology and Bioinformatics Laboratory, Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon 16419, Korea;
| | - Tae Hwan Shin
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
| | - Chan Bae Park
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
| | - Wang-Soo Lee
- Department of Internal Medicine, Division of Cardiology, College of Medicine, Chung-Ang University, Seoul 06973, Korea;
| | - Jaetaek Kim
- Department of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Chung-Ang University, Seoul 06973, Korea
- Correspondence: (J.K.); (G.L.)
| | - Gwang Lee
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea
- Correspondence: (J.K.); (G.L.)
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Daily Mortality in Different Age Groups Associated with Exposure to Particles, Nitrogen Dioxide and Ozone in Two Northern European Capitals: Stockholm and Tallinn. ENVIRONMENTS 2022. [DOI: 10.3390/environments9070083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Although the association between air pollution and mortality is well established, less is known about the effects in different age groups. This study analyzes the short-term associations between mortality in different age groups (0–14 years of age, 15–64 years of age, and 65+ years of age) and a number of air pollutants in two relatively clean northern European capitals: Stockholm and Tallinn. The concentrations in PM10 (particles with an aerodynamic diameter smaller than or equal to 10 µm), PM2.5–10 (coarse particles), PM2.5 (particles with an aerodynamic diameter smaller than or equal to 2.5 µm), BC (black carbon), PNC4 (particle number count of particles larger than or equal to 4 nm), NO2 (nitrogen dioxide), and O3 (ozone) were measured during the period of 2000–2016 in Stockholm and 2001–2018 in Tallinn (except for BC and PNC4 which were only measured in Stockholm). The excess risks in daily mortality associated with an interquartile range (IQR) increase in the measured air pollutants were calculated in both single- and multi-pollutant models for lag01 and lag02 (average concentration during the same and the previous day, and the same and the previous two days, respectively) using a quasi-Poisson regression model with a logistic link function. In general, the calculated excess risks per IQR increase were highest in the age group 0–14 years of age in both Stockholm and Tallinn. However, in Stockholm, a statistically significant effect was shown for PM2.5–10, and in Tallinn for O3. In the oldest age group (65+), statistically significant effects were shown for both PM2.5–10, PM10, and O3 in Stockholm, and for O3 in Tallinn.
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Khosravipour M, Safari-Faramani R, Rajati F, Omidi F. The long-term effect of exposure to respirable particulate matter on the incidence of myocardial infarction: a systematic review and meta-analysis study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:42347-42371. [PMID: 35355187 DOI: 10.1007/s11356-022-18986-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 01/27/2022] [Indexed: 06/14/2023]
Abstract
Although several studies have investigated the long-term association of respirable particulate matter (PM ≤ 10 µm) with the incidence of myocardial infarction (MI), this association is inconclusive or even contradictory. This systematic review and meta-analysis study aimed to quantify the long-term effect of exposure to respirable PM on the incidence of MI. To find relevant publications, online databases, including Scopus, PubMed, and Web of Science, were searched on October 10, 2021. A random-effect model was used to calculate the pooled hazard ratio (HR) and 95% confidence interval (95% CI) of MI across studies. Heterogeneity was presented with reporting I2 index. Of 4591 records found in the primary searching, the number of 24 prospective cohort studies with more than 70 million participants was included. The pooled HR (95% CI) of MI per 1 µg/m3 increment of respirable PM was estimated as 1.01 (1.00, 1.01). Subgroup analyses according to aerodynamic diameter of PM showed an only significant stronger risk of MI per 1 µg/m3 increase in PM with aerodynamic diameter < 2.5 µm (HR = 1.01, 95% CI = 1.00, 1.01). No sex difference was found in the association of respirable PM with MI incidence. There was only a significant association among studies defined MI as ICD-10: I21 code (HR = 1.01, 95% CI = 1.00, 1.01) and studies defined MI as ICD-10: I21-22 (HR = 1.02, 95% CI = 1.00, 1.04). No significant publication bias was observed across studies. In conclusion, this study confirms a significant association between long-term exposure to respirable PM air pollution and development of MI.
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Affiliation(s)
- Masoud Khosravipour
- Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Roya Safari-Faramani
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Department of Epidemiology, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Fatemeh Rajati
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
| | - Fariborz Omidi
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Department of Occupational Health Engineering, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
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31
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de Bont J, Jaganathan S, Dahlquist M, Persson Å, Stafoggia M, Ljungman P. Ambient air pollution and cardiovascular diseases: An umbrella review of systematic reviews and meta-analyses. J Intern Med 2022; 291:779-800. [PMID: 35138681 PMCID: PMC9310863 DOI: 10.1111/joim.13467] [Citation(s) in RCA: 173] [Impact Index Per Article: 86.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The available evidence on the effects of ambient air pollution on cardiovascular diseases (CVDs) has increased substantially. In this umbrella review, we summarized the current epidemiological evidence from systematic reviews and meta-analyses linking ambient air pollution and CVDs, with a focus on geographical differences and vulnerable subpopulations. We performed a search strategy through multiple databases including articles between 2010 and 31 January 2021. We performed a quality assessment and evaluated the strength of evidence. Of the 56 included reviews, the most studied outcomes were stroke (22 reviews), all-cause CVD mortality, and morbidity (19). The strongest evidence was found between higher short- and long-term ambient air pollution exposure and all-cause CVD mortality and morbidity, stroke, blood pressure, and ischemic heart diseases (IHD). Short-term exposures to particulate matter <2.5 μm (PM2.5 ), <10 μm (PM10 ), and nitrogen oxides (NOx ) were consistently associated with increased risks of hypertension and triggering of myocardial infarction (MI), and stroke (fatal and nonfatal). Long-term exposures of PM2.5 were largely associated with increased risk of atherosclerosis, incident MI, hypertension, and incident stroke and stroke mortality. Few reviews evaluated other CVD outcomes including arrhythmias, atrial fibrillation, or heart failure but they generally reported positive statistical associations. Stronger associations were found in Asian countries and vulnerable subpopulations, especially among the elderly, cardiac patients, and people with higher weight status. Consistent with experimental data, this comprehensive umbrella review found strong evidence that higher levels of ambient air pollution increase the risk of CVDs, especially all-cause CVD mortality, stroke, and IHD. These results emphasize the importance of reducing the alarming levels of air pollution across the globe, especially in Asia, and among vulnerable subpopulations.
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Affiliation(s)
- Jeroen de Bont
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Suganthi Jaganathan
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Environmental Health, Public Health Foundation of India, Delhi-NCR, India.,Centre for Chronic Disease Control, New Delhi, India
| | - Marcus Dahlquist
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Åsa Persson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Epidemiology, Lazio Region Health Service, Rome, Italy
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Cardiology, Danderyd University Hospital, Danderyd, Sweden
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Gul S, Khan GM, Yousaf S. Multi-step short-term [Formula: see text] forecasting for enactment of proactive environmental regulation strategies. ENVIRONMENTAL MONITORING AND ASSESSMENT 2022; 194:386. [PMID: 35445884 PMCID: PMC9022063 DOI: 10.1007/s10661-022-10029-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 04/05/2022] [Indexed: 06/14/2023]
Abstract
Particulate matter is one of the key contributors of air pollution and climate change. Long-term exposure to constituents of air pollutants has exerted serious health implications in both humans and plants leading to a detrimental impact on economy. Among the pollutants contributing to air quality determination, particulate matter has been linked to serious health implications causing pulmonary complications, cardiovascular diseases, growth retardation and ultimately death. In agriculture, crop yield is also negatively impacted by the deposition of particulate matter on stomata of the plant which is alarming and can cause food security concerns. The deleterious impact of air pollutants on human health, agricultural and economic well-being highlights the importance of quantifying and forecasting particulate matter. Several deterministic and deep learning models have been employed in the recent years to forecast the concentration of particulate matter. Among them, deep learning models have shown promising results when it comes to modeling time series data and forecasting it. We have explored recurrent neural networks with LSTM model which shows potential to predict the particulate matter ([Formula: see text]) based on multi-step multi-variate data of two of the most polluted regions of South Asia, Beijing, China and Punjab, Pakistan effectively. The LSTM model is tuned using Bayesian optimization technique to employ the appropriate hyper-parameters and weight initialization strategies based on the dataset. The model was able to predict [Formula: see text] for the next hour with root-mean-square error (RMSE) of 0.1913 (91.5% accuracy) and this error gradually increases with the number of time steps with next 24 hours steps prediction having RMSE of 0.7290. While in case of Punjab dataset with data recorded once a day, the RMSE for the next day forecast is 0.2192. These multi-step short-term forecasts would play a pivotal role in establishing an early warning system based on the air quality index (AQI) calculated and enable the government in enacting policies to contain it.
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Affiliation(s)
- Saba Gul
- School Of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, Pakistan
- National Center of Artificial Intelligence, University of Engineering and Technology, Peshawar, Pakistan
| | - Gul Muhammad Khan
- National Center of Artificial Intelligence, University of Engineering and Technology, Peshawar, Pakistan
| | - Sohail Yousaf
- National Center of Artificial Intelligence, University of Engineering and Technology, Peshawar, Pakistan
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Influence of air pollutants on circulating inflammatory cells and microRNA expression in acute myocardial infarction. Sci Rep 2022; 12:5350. [PMID: 35354890 PMCID: PMC8967857 DOI: 10.1038/s41598-022-09383-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 03/09/2022] [Indexed: 02/07/2023] Open
Abstract
Air pollutants increase the risk and mortality of myocardial infarction (MI). The aim of this study was to assess the inflammatory changes in circulating immune cells and microRNAs in MIs related to short-term exposure to air pollutants. We studied 192 patients with acute coronary syndromes and 57 controls with stable angina. For each patient, air pollution exposure in the 24-h before admission, was collected. All patients underwent systematic circulating inflammatory cell analyses. According to PM2.5 exposure, 31 patients were selected for microRNA analyses. STEMI patients exposed to PM2.5 showed a reduction of CD4+ regulatory T cells. Furthermore, in STEMI patients the exposure to PM2.5 was associated with an increase of miR-146a-5p and miR-423-3p. In STEMI and NSTEMI patients PM2.5 exposure was associated with an increase of miR-let-7f-5p. STEMI related to PM2.5 short-term exposure is associated with changes involving regulatory T cells, miR-146a-5p and miR-423-3p.
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Olmedo-Suárez MÁ, Ramírez-Díaz I, Pérez-González A, Molina-Herrera A, Coral-García MÁ, Lobato S, Sarvari P, Barreto G, Rubio K. Epigenetic Regulation in Exposome-Induced Tumorigenesis: Emerging Roles of ncRNAs. Biomolecules 2022; 12:513. [PMID: 35454102 PMCID: PMC9032613 DOI: 10.3390/biom12040513] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/18/2022] [Accepted: 03/21/2022] [Indexed: 02/06/2023] Open
Abstract
Environmental factors, including pollutants and lifestyle, constitute a significant role in severe, chronic pathologies with an essential societal, economic burden. The measurement of all environmental exposures and assessing their correlation with effects on individual health is defined as the exposome, which interacts with our unique characteristics such as genetics, physiology, and epigenetics. Epigenetics investigates modifications in the expression of genes that do not depend on the underlying DNA sequence. Some studies have confirmed that environmental factors may promote disease in individuals or subsequent progeny through epigenetic alterations. Variations in the epigenetic machinery cause a spectrum of different disorders since these mechanisms are more sensitive to the environment than the genome, due to the inherent reversible nature of the epigenetic landscape. Several epigenetic mechanisms, including modifications in DNA (e.g., methylation), histones, and noncoding RNAs can change genome expression under the exogenous influence. Notably, the role of long noncoding RNAs in epigenetic processes has not been well explored in the context of exposome-induced tumorigenesis. In the present review, our scope is to provide relevant evidence indicating that epigenetic alterations mediate those detrimental effects caused by exposure to environmental toxicants, focusing mainly on a multi-step regulation by diverse noncoding RNAs subtypes.
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Affiliation(s)
- Miguel Ángel Olmedo-Suárez
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Licenciatura en Médico Cirujano, Universidad de la Salud del Estado de Puebla (USEP), Puebla 72000, Mexico
| | - Ivonne Ramírez-Díaz
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Facultad de Biotecnología, Campus Puebla, Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico
| | - Andrea Pérez-González
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Licenciatura en Médico Cirujano, Universidad de la Salud del Estado de Puebla (USEP), Puebla 72000, Mexico
| | - Alejandro Molina-Herrera
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Licenciatura en Médico Cirujano, Universidad de la Salud del Estado de Puebla (USEP), Puebla 72000, Mexico
| | - Miguel Ángel Coral-García
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Decanato de Ciencias de la Salud, Campus Puebla, Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla 72410, Mexico
| | - Sagrario Lobato
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Licenciatura en Médico Cirujano, Universidad de la Salud del Estado de Puebla (USEP), Puebla 72000, Mexico
| | - Pouya Sarvari
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
| | - Guillermo Barreto
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Laboratoire IMoPA, CNRS, Université de Lorraine, UMR 73635 Nancy, France
- Lung Cancer Epigenetic, Max-Planck-Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
| | - Karla Rubio
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Puebla 72160, Mexico; (M.Á.O.-S.); (I.R.-D.); (A.P.-G.); (A.M.-H.); (M.Á.C.-G.); (S.L.); (P.S.); (G.B.)
- Licenciatura en Médico Cirujano, Universidad de la Salud del Estado de Puebla (USEP), Puebla 72000, Mexico
- Laboratoire IMoPA, CNRS, Université de Lorraine, UMR 73635 Nancy, France
- Lung Cancer Epigenetic, Max-Planck-Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
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35
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Atmospheric features and risk of ST-elevation myocardial infarction in Porto (Portugal): A temperate Mediterranean (Csb) city. Rev Port Cardiol 2021; 41:51-58. [DOI: 10.1016/j.repc.2020.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 10/30/2020] [Accepted: 11/18/2020] [Indexed: 11/20/2022] Open
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36
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Leili M, Nadali A, Karami M, Bahrami A, Afkhami A. Short-term effect of multi-pollutant air quality indexes and PM 2.5 on cardiovascular hospitalization in Hamadan, Iran: a time-series analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:53653-53667. [PMID: 34036506 DOI: 10.1007/s11356-021-14386-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 05/10/2021] [Indexed: 06/12/2023]
Abstract
Air pollutants are the most important environmental factors that contributed to cardiovascular disease (CVD). The present study aimed to investigate the number of hospitalization due to heart failure (HF) and myocardial infarction (MI) following the air pollutant exposure using a time-series regression analysis with a distributed lag model in Hamadan, Iran (2015-2019). A total of 2091 cases of CVD were registered. Based on the findings, the highest health effects on HF hospitalization were observed with air quality health index (AQHI) at lag 9 (RR = 1.043, 95% CI 0.991-1.098), and air quality index (AQI) at lags 2, 7, and 9 (RR = 1.001, 95% CI 0.998-1.002), for an increase in 1 unit of the indexes, and with PM2.5 at lag 0 (RR = 1.001, 95% CI 0.996-1.004) for 10 μg/m3 increase in PM2.5 levels. The highest health effects on MI hospitalization were calculated with AQHI at lag 10 (RR = 1.059, 95% CI 1.001-1.121) and AQI at lags 1 and 2 (RR = 1.001, 95% CI 0.998-1.002), for an increase in 1 unit of the indexes, and with PM2.5 at lag 8 (RR = 1.002, 95% CI 0.997-1.005) for 10 μg/m3 increase in PM2.5 levels. According to a seasonal classification, results showed that hospitalization in the warm season was higher than that of the cold season. Based on our knowledge, the current study is the first study that investigated the effect of air quality indexes on hospitalization due to HF and MI in Iran. Findings can provide basic information to plan preventive measures for reducing exposure chance and hospitalization rate in high-risk people.
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Affiliation(s)
- Mostafa Leili
- Department of Environmental Health Engineering, School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Azam Nadali
- Department of Environmental Health Engineering, School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
| | - Manoochehr Karami
- Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Abdolrahman Bahrami
- Department of Occupational Health, Faculty of Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Abbas Afkhami
- Faculty of Chemistry, Bu-Ali Sina University, Fahmideh Av, Hamadan, 65174, Iran
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37
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Valdés M, Alonso F, Pino P, Nazzal C. Emergency visits and mortality caused by ischemic heart disease attributable to fine particulate matter during the COVID-19 pandemic in Chile. Rev Epidemiol Sante Publique 2021; 69:247-254. [PMID: 34393032 DOI: 10.1016/j.respe.2021.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/30/2021] [Accepted: 07/01/2021] [Indexed: 10/20/2022] Open
Abstract
POSITION DU PROBLèME: Le confinement mis en place au deuxième trimestre 2020 a entrainé une amélioration de la qualité de l'air de Santiago, capitale et plus grande ville du Chili, caractérisée par de fortes concentrations en particules fines PM2,5 liées, en grande partie, au trafic routier. L'objectif était de mettre en évidence une potentielle réduction des visites aux urgences pour infarctus du myocarde aigu (IDM) et des décès dus à une cardiopathie ischémique (CPI) attribuable à l'émission de PM2,5, en comparant les périodes équivalentes de 2019 et de 2020. MéTHODES: À Santiago, la surveillance de la qualité de l'air se fait grâce à neuf moniteurs situés dans neuf communes différentes : Cerro Navia, Cerrillos, El Bosque, Pudahuel, Independencia, La Florida, Quilicura, Santiago centre-ville et Las Condes (classées de la plus haute à la plus basse en matière de pauvreté multidimensionnelle). La concentration moyenne quotidienne de PM2,5 a été décrite avec des séries temporelles, et les visites aux urgences pour IDM et les décès dus à une CPI ont été analysés de façon trimestrielle pour chaque année. Pour estimer l'impact de l'excès de PM2,5, les fractions de risque attribuables (FRA) pour les visites aux urgences pour IDM et les décès pour CPI ont été calculées. RéSULTATS: La moyenne quotidienne des PM2,5 a diminué dans huit des neuf communes de Santiago. Cependant, la réduction n'a été significative que dans trois communes. Les visites aux urgences pour IDM et les décès par CPI attribuables aux PM2,5 ont diminué légèrement mais significativement dans ces trois communes. Les FRA dans les autres communes sont restées similaires à 2019. CONCLUSIONS: Une réduction significative de la FRA des PM2,5 pour les décès par CPI et les visites aux urgences d'IDM n'a été observée que dans les communes avec une réduction significative de la concentration quotidienne moyenne de PM2,5 pendant la pandémie de COVID-19.
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Affiliation(s)
- M Valdés
- Programa de Epidemiología, Instituto de Salud Poblacional - Escuela de Salud Pública, Facultad de Medicina, Universidad de Chile, Santiago. Chile.
| | - F Alonso
- Programa de Epidemiología, Instituto de Salud Poblacional - Escuela de Salud Pública, Facultad de Medicina, Universidad de Chile, Santiago. Chile.
| | - P Pino
- Programa de Epidemiología, Instituto de Salud Poblacional - Escuela de Salud Pública, Facultad de Medicina, Universidad de Chile, Santiago. Chile.
| | - C Nazzal
- Programa de Epidemiología, Instituto de Salud Poblacional - Escuela de Salud Pública, Facultad de Medicina, Universidad de Chile, Santiago. Chile.
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Magnoni P, Murtas R, Russo AG. Residential exposure to traffic-borne pollution as a risk factor for acute cardiocerebrovascular events: a population-based retrospective cohort study in a highly urbanized area. Int J Epidemiol 2021; 50:1160-1171. [PMID: 34279611 PMCID: PMC8522025 DOI: 10.1093/ije/dyab068] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 03/17/2021] [Indexed: 01/03/2023] Open
Abstract
Background Long-term exposure to traffic-borne noise and air pollution has been variably
associated with incidence of acute vascular events, namely acute myocardial
infarction, ischaemic stroke and haemorrhagic stroke. This study aims at
exploring this association within a highly urbanized city. Methods This is a population-based retrospective dynamic cohort study including all
residents aged ≥ 35 years in the municipality of Milan over
the years 2011–18 (1 087 110 inhabitants).
Residential exposure to road traffic noise (day-evening-night levels) and
nitrogen dioxide was estimated using a noise predictive model and a land use
regression model, respectively. Cox proportional hazards regression analyses
were performed to assess the incidence of acute vascular events and specific
outcomes in single-exposure and two-exposure models including adjustment for
sociodemographic confounders, fine particulate matter and surrounding
greenness. Results A total of 27 282 subjects (2.5%) had an acute vascular
event. Models using nitrogen dioxide produced inconsistent results. The
strongest effect was observed for noise, with an optimal cut-off for
dichotomization set at 70 dBA (hazard ratio 1.025, 95% confidence
interval 1.000–1.050). This association was observed specifically
for ischaemic and haemorrhagic stroke. When stratifying by age group and
sex, a remarkable effect was found for haemorrhagic stroke in men aged
<60 years (hazard ratio 1.439, 95% confidence
interval 1.156–1.792). Conclusions Living by roads with a day-evening-night noise level above 70 dBA exerts a
small but tangible independent effect on the risks of both ischaemic and
haemorrhagic stroke. It is urgent to propose mitigation measures against
pollution and noise originating from vehicular traffic in order to reduce
their impact, especially in the population younger than
60 years.
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Affiliation(s)
- Pietro Magnoni
- Epidemiology Unit, Agency for Health Protection of Milan, Milan, Italy.,Postgraduate School of Public Health, Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Rossella Murtas
- Epidemiology Unit, Agency for Health Protection of Milan, Milan, Italy
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Bai L, Zhao Y, Zhao L, Zhang M, Cai Z, Yung KKL, Dong C, Li R. Ambient air PM 2.5 exposure induces heart injury and cardiac hypertrophy in rats through regulation of miR-208a/b, α/β-MHC, and GATA4. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2021; 85:103653. [PMID: 33812011 DOI: 10.1016/j.etap.2021.103653] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/28/2021] [Accepted: 03/29/2021] [Indexed: 06/12/2023]
Abstract
Ambient air fine particulate matter (PM2.5) may increase cardiovascular disease risks. In this study, we investigated the miR-208/GATA4/myosin heavy chain (MHC) regulation mechanisms on cardiac injury in rats after PM2.5 exposure via an animal inhalation device. The results showed that PM2.5 exposure for 2 months caused pathological heart injury, reduced nucleus-cytoplasm ratio, and increased the levels of CK-MB and cTnI, showing cardiac hypertrophy. Oxidative stress and inflammatory responses were also observed in rats' hearts exposed to PM2.5. Of note, PM2.5 exposure for 2-month significantly elevated GATA4 and β-MHC mRNA and protein expression compared with the corresponding controls, along with the high-expression of miR-208b. The ratios of β-MHC/α-MHC expression induced by PM2.5 were remarkably raised in comparison to their controls. It suggested that the up-regulation of miR-208b/β-MHC and GATA4 and the conversion from α-MHC to β-MHC may be the important causes of cardiac hypertrophy in rats incurred by PM2.5.
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Affiliation(s)
- Lirong Bai
- Institute of Environmental Science, Shanxi University, Taiyuan, China
| | - Yufei Zhao
- Institute of Environmental Science, Shanxi University, Taiyuan, China
| | - Lifang Zhao
- Institute of Environmental Science, Shanxi University, Taiyuan, China
| | - Mei Zhang
- Institute of Environmental Science, Shanxi University, Taiyuan, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong Special Administrative Region
| | - Ken Kin Lam Yung
- Institute of Environmental Science, Shanxi University, Taiyuan, China; Department of Biology, Hong Kong Baptist University, Hong Kong Special Administrative Region
| | - Chuan Dong
- Institute of Environmental Science, Shanxi University, Taiyuan, China.
| | - Ruijin Li
- Institute of Environmental Science, Shanxi University, Taiyuan, China.
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Xing Q, Wu M, Chen R, Liang G, Duan H, Li S, Wang Y, Wang L, An C, Qin G, Sang N. Comparative studies on regional variations in PM 2.5 in the induction of myocardial hypertrophy in mice. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 775:145179. [PMID: 33611177 DOI: 10.1016/j.scitotenv.2021.145179] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/02/2021] [Accepted: 01/12/2021] [Indexed: 06/12/2023]
Abstract
Exposure to fine particulate matter (PM2.5) has been indicated to be related to an increased risk of cardiovascular diseases (CVDs) in sensitive people. However, the underlying mechanisms of PM2.5-induced CVDs are poorly understood. In the present study, PM2.5 samples were collected during winter from four cities (Taiyuan, Beijing, Hangzhou, and Guangzhou) in China. Ten-month-old C57BL/6 female mice were exposed to PM2.5 suspension at a dosage of 3 mg·kg-1 (b. w.) every other day for 4 weeks by oropharyngeal aspiration. PM2.5 from Taiyuan increased the blood pressure and the thicknesses of the left ventricular anterior and posterior walls, decreased the ratio of nucleus to cytoplasm in cardiomyocytes and reduced the systolic function of the heart in mice. Further investigation revealed that PM2.5 from Taiyuan induced lung inflammatory cytokines with up-regulated expressions of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6). The mRNA expression levels of myocardial hypertrophy markers atrial natriuretic peptide and the β isoform of myosin heavy chain (ANP and β-MHC), matrix metalloproteinase 2 (MMP2), MMP9, and inflammatory cytokines TNF-α and IL-6 in the myocardium were significantly increased after exposure to PM2.5 of Taiyuan. Furthermore, PM2.5 from Taiyuan activated the IL-6/JAK2/STAT3/β-MHC signaling pathway in the myocardium. The correlation between the PM2.5 components and myocardial hypertrophy markers suggested that Zinc (Zn) and acenaphthene (AC) are related to the changes in ANP and β-MHC at the transcriptional level, respectively. The above results indicated that PM2.5 exposure induced myocardial hypertrophy in older mice, which might be related to the critical contributions of Zn and AC in PM2.5. The present study provides new insights into the mechanism of myocardial hypertrophy after PM2.5 exposure.
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Affiliation(s)
- Qisong Xing
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Meiqiong Wu
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China; School of Public Health, Shanxi Medical University, Shanxi 030001, PR China
| | - Rui Chen
- Beijing Key Laboratory of Occupational Safety and Health, Beijing Municipal Institute of Labour Protection, Beijing Academy of Science and Technology, Beijing 100054, PR China
| | - Gang Liang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Huiling Duan
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Shuyue Li
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
| | - Yuqian Wang
- Beijing Key Laboratory of Occupational Safety and Health, Beijing Municipal Institute of Labour Protection, Beijing Academy of Science and Technology, Beijing 100054, PR China
| | - Lei Wang
- Key laboratory of Mineral Resources and Ecological Environment Monitoring, Hebei Research Center for Geoanalysis, Baoding, Hebei 071000, PR China
| | - Caixiu An
- Key laboratory of Mineral Resources and Ecological Environment Monitoring, Hebei Research Center for Geoanalysis, Baoding, Hebei 071000, PR China
| | - Guohua Qin
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China.
| | - Nan Sang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, PR China
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A Risk and Decision Analysis Framework to Evaluate Future PM 2.5 Risk: A Case Study in Los Angeles-Long Beach Metro Area. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18094905. [PMID: 34064536 PMCID: PMC8124696 DOI: 10.3390/ijerph18094905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 04/25/2021] [Accepted: 04/26/2021] [Indexed: 11/16/2022]
Abstract
This study examines the L.A.-Long Beach Metro area concerning the future risk of the PM2.5 concentration increase. Population expansion, economic growth, and temperature increase are incorporated to estimate the probability of the magnitude of PM2.5 emission increase. Three possible sectors for the reduction of PM2.5 emissions are considered: ocean-going vessels, refineries, and electricity-generating units. The decision of how best to allocate emissions-reduction efforts among these three sectors is analyzed using a quantitative and qualitative decision-analysis framework. For quantitative analysis, Expected Monetary Value (EMV) and Expected Utility (EU) methods are used to select the optimal sector to invest in. Based on the EMV calculation, the refineries sector is 3.5 times and 6.4 times more worthy of investment compared to the electricity-generating units and the ocean-going vessels sector, respectively. For the qualitative analysis, three criteria (investment efficiency, implementation difficulty, time to become effective) are considered in the decision-making process and sensitivity analysis is conducted to inform the ocean-going vessel sector is the optimal alternative for all possible scenarios. The refineries sector is more preferred than the electricity-generating units sector when the implementation difficulty's weight is smaller than 50%. This study provides a valuable risk and decision analysis framework for analyzing the air pollution problem associated with the future PM2.5 concentration increase caused by three risk factors: population growth, economic growth, and climate change.
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Ain NU, Qamar SUR. Particulate Matter-Induced Cardiovascular Dysfunction: A Mechanistic Insight. Cardiovasc Toxicol 2021; 21:505-516. [PMID: 33886046 DOI: 10.1007/s12012-021-09652-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 04/16/2021] [Indexed: 12/13/2022]
Abstract
Air pollution and particulate matter (PM) are significant factors for adverse health effects most prominently cardiovascular disease (CVD). PM is produced from various sources, which include both natural and anthropogenic. It is composed of biological components, organic compounds, minerals, and metals, which are responsible for inducing inflammation and adverse health effects. However, the adverse effects are related to PM size distribution. Finer particles are a significant cause of cardiovascular events. This review discusses the direct and indirect mechanisms of PM-induced CVD like myocardial infarction, the elevation of blood pressure, cardiac arrhythmias, atherosclerosis, and thrombosis. The two potential mechanisms are oxidative stress and systemic inflammation. Prenatal exposure has also been linked with cardiovascular outcomes later in life. Moreover, we also mentioned the epidemiological studies that strongly associate PM with CVD.
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Affiliation(s)
- Noor Ul Ain
- Departmetnt of Environmental Sciences, Fatima Jinnah Women University, The Mall Road, Kachari Chowk, Rawalpindi, 46000, Pakistan
- Applied Biological Sciences Program, Chulabhorn Graduate Institute, 54 Kamphaeng Phet 6 Road, Lak Si, Bangkok, 10210, Thailand
| | - Safi Ur Rehman Qamar
- Integrated Genomics, Cellular, Developmental, and Biotechnology Laboratory (IGCDBL), University of Agriculture, Faisalabad, Punjab, 38000, Pakistan.
- Applied Biological Sciences Program, Chulabhorn Graduate Institute, 54 Kamphaeng Phet 6 Road, Lak Si, Bangkok, 10210, Thailand.
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Mestres G, Díaz MA, Fierro A, Yugueros X, Tripodi P, Riambau V. Climatic influence on the risk of abdominal aortic aneurysm rupture. Vasc Med 2020; 25:443-449. [PMID: 32644915 DOI: 10.1177/1358863x20923399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Our aim is to examine the effects of climatic conditions on the incidence of ruptured abdominal aortic aneurysms (rAAA) in Catalonia, Spain. We combined clinical data from the Public Health official registries in Catalonia, Spain (HD-MBDS) of all rAAA with local climatic data obtained from the closest meteorological station (69 stations, National Meteorological Service: MeteoCat) from 2008 to 2017. We analyzed the median, maximum, minimum, and variability of atmospheric pressure (hPa) and air temperature (°C), solar irradiation (MJ/m2), humidity (%), accumulated precipitation (mm), median wind, and maximum flaw direction and velocity (°, m/s), recorded on the days of events, the previous day, and mean results for 3, 7, and 30 days before, as well as seasonality. Seventy-five control days were randomly selected in a 1-year period around every rAAA day at the same meteorological station, and compared. A total of 717 days and locations with rAAA were identified, and 53,775 controls were randomly selected. For the rAAA days, there were significantly lower temperatures, lower solar global irradiation, and higher mean humidity levels in all time periods (p < 0.001, p < 0.001, p < 0.05); higher atmospheric pressure variability during 1 week and 1 month before (p = 0.011, p = 0.007); and they often occurred during autumn/winter (57.6%, p < 0.001). Logistic regression identified low mean temperatures on the days of ruptures and high mean humidity the week before as independent rupture predictors. In conclusion, low median temperatures the same day and high humidity during 1 week before were identified as independent predictors of rAAA occurrence. The role of climate on pathophysiologic mechanisms may require further investigation.
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Affiliation(s)
- Gaspar Mestres
- Vascular Surgery Division, Cardiovascular Institute, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - María Alejandra Díaz
- Vascular Surgery Division, Cardiovascular Institute, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Alejandro Fierro
- Vascular Surgery Division, Cardiovascular Institute, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Xavier Yugueros
- Vascular Surgery Division, Cardiovascular Institute, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Paolo Tripodi
- Vascular Surgery Division, Cardiovascular Institute, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Vincent Riambau
- Vascular Surgery Division, Cardiovascular Institute, Hospital Clínic, University of Barcelona, Barcelona, Spain
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