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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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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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Cheng J, Zheng H, Wei J, Huang C, Ho HC, Sun S, Phung D, Kim H, Wang X, Bai Z, Hossain MZ, Tong S, Su H, Xu Z. Short-term residential exposure to air pollution and risk of acute myocardial infarction deaths at home in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:76881-76890. [PMID: 37247141 PMCID: PMC10300167 DOI: 10.1007/s11356-023-27813-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 05/17/2023] [Indexed: 05/30/2023]
Abstract
Air pollution remains a major threat to cardiovascular health and most acute myocardial infarction (AMI) deaths occur at home. However, currently established knowledge on the deleterious effect of air pollution on AMI has been limited to routinely monitored air pollutants and overlooked the place of death. In this study, we examined the association between short-term residential exposure to China's routinely monitored and unmonitored air pollutants and the risk of AMI deaths at home. A time-stratified case-crossover analysis was undertaken to associate short-term residential exposure to air pollution with 0.1 million AMI deaths at home in Jiangsu Province (China) during 2016-2019. Individual-level residential exposure to five unmonitored and monitored air pollutants including PM1 (particulate matter with an aerodynamic diameter ≤ 1 μm) and PM2.5 (particulate matter with an aerodynamic diameter ≤ 2.5 μm), SO2 (sulfur dioxide), NO2 (nitrogen dioxide), and O3 (ozone) was estimated from satellite remote sensing and machine learning technique. We found that exposure to five air pollutants, even below the recently released stricter air quality standards of the World Health Organization (WHO), was all associated with increased odds of AMI deaths at home. The odds of AMI deaths increased by 20% (95% confidence interval: 8 to 33%), 22% (12 to 33%), 14% (2 to 27%), 13% (3 to 25%), and 7% (3 to 12%) for an interquartile range increase in PM1, PM2.5, SO2, NO2, and O3, respectively. A greater magnitude of association between NO2 or O3 and AMI deaths was observed in females and in the warm season. The greatest association between PM1 and AMI deaths was found in individuals aged ≤ 64 years. This study for the first time suggests that residential exposure to routinely monitored and unmonitored air pollutants, even below the newest WHO air quality standards, is still associated with higher odds of AMI deaths at home. Future studies are warranted to understand the biological mechanisms behind the triggering of AMI deaths by air pollution exposure, to develop intervention strategies to reduce AMI deaths triggered by air pollution exposure, and to evaluate the cost-effectiveness, accessibility, and sustainability of these intervention strategies.
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Affiliation(s)
- Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Hao Zheng
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Hung Chak Ho
- Department of Public and International Affairs, City University of Hong Kong , Hong Kong, China
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing, China
| | - Dung Phung
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Ho Kim
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
- Institute of Health and Environment and Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Xiling Wang
- School of Public Health, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China
| | - Zhongliang Bai
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - Mohammad Zahid Hossain
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Shilu Tong
- Department of Clinical Epidemiology and Biostatistics, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
- School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei, China
- Center for Global Health, Nanjing Medical University, Nanjing, China
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Hong Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, 4222, Australia.
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Jin JQ, Lin GZ, Wu SY, Zheng MR, Liu H, Liu XY, Yan MQ, Chen ZY, Ou CQ. Short-term effects of individual exposure to PM 2.5 on hospital admissions for myocardial infarction and stroke: a population-based case-crossover study in Guangzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-28058-y. [PMID: 37273056 DOI: 10.1007/s11356-023-28058-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 05/29/2023] [Indexed: 06/06/2023]
Abstract
Some studies have investigated the effects of PM2.5 on cardiovascular diseases based on the population-average exposure data from several monitoring stations. No one has explored the short-term effect of PM2.5 on cardiovascular hospitalizations using individual-level exposure data. We assessed the short-term effects of individual exposure to PM2.5 on hospitalizations for myocardial infarction (MI) and stroke in Guangzhou, China, during 2014-2019. The population-based data on cardio-cerebrovascular events were provided by Guangzhou Center for Disease Control and Prevention. Average annual percent changes (AAPCs) were used to describe trends in the hospitalization rates of MI and stroke. The conditional logistic regression model with a time-stratified case-crossover design was applied to estimate the effects of satellite-retrieved PM2.5 with 1-km resolution as individual-level exposure. Furthermore, we performed stratified analyses by demographic characteristics and season. There were 28,346 cases of MI, 188,611, and 36,850 cases of ischemic stroke (IS) and hemorrhagic stroke (HS), respectively, with an annual average hospitalization rate of 37.2, 247, and 48.4 per 100,000 people. Over the six-year study period, significant increasing trends in the hospitalization rates were observed with AAPCs of 12.3% (95% confidence interval [CI]: 7.24%, 17.6%), 13.1% (95% CI: 9.54%, 16.7%), and 9.57% (95% CI: 6.27%, 13.0%) for MI, IS, and HS, respectively. A 10 μg/m3 increase in PM2.5 was associated with an increase of 1.15% (95% CI: 0.308%, 1.99%) in MI hospitalization and 1.29% (95% CI: 0.882%, 1.70%) in IS hospitalization. A PM2.5-associated reduction of 1.17% (95% CI: 0.298%, 2.03%) was found for HS hospitalization. The impact of PM2.5 was greater in males than in females for MI hospitalization, and greater effects were observed in the elderly (≥ 65 years) and in cold seasons for IS hospitalization. Our study added important evidence on the adverse effect of PM2.5 based on satellite-retrieved individual-level exposure data.
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Affiliation(s)
- Jie-Qi Jin
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Guo-Zhen Lin
- Guangzhou Center for Disease Control and Prevention, 15, Guangzhou, 510440, China
| | - Shuang-Ying Wu
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Mu-Rui Zheng
- Guangzhou Center for Disease Control and Prevention, 15, Guangzhou, 510440, China
| | - Hui Liu
- Guangzhou Center for Disease Control and Prevention, 15, Guangzhou, 510440, China
| | - Xiang-Yi Liu
- Guangzhou Center for Disease Control and Prevention, 15, Guangzhou, 510440, China
| | - Min-Qian Yan
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Zhao-Yue Chen
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Chun-Quan Ou
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
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Ma X, Zhang B, Duan H, Wu H, Dong J, Guo X, Lu Z, Ma J, Xi B. Estimating future PM 2.5-attributed acute myocardial infarction incident cases under climate mitigation and population change scenarios in Shandong Province, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 256:114893. [PMID: 37059016 DOI: 10.1016/j.ecoenv.2023.114893] [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: 01/17/2023] [Revised: 04/07/2023] [Accepted: 04/08/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND The effects of fine particulate matter (PM2.5) on acute myocardial infarction (AMI) have been widely recognized. However, no studies have comprehensively evaluated future PM2.5-attributed AMI burdens under different climate mitigation and population change scenarios. We aimed to quantify the PM2.5-AMI association and estimate the future change in PM2.5-attributed AMI incident cases under six integrated scenarios in 2030 and 2060 in Shandong Province, China. METHODS Daily AMI incident cases and air pollutant data were collected from 136 districts/counties in Shandong Province from 2017 - 2019. A two-stage analysis with a distributed lag nonlinear model was conducted to quantify the baseline PM2.5-AMI association. The future change in PM2.5-attributed AMI incident cases was estimated by combining the fitted PM2.5-AMI association with the projected daily PM2.5 concentrations under six integrated scenarios. We further analyzed the factors driving changes in PM2.5-related AMI incidence using a decomposition method. RESULTS Each 10 μg/m3 increase in PM2.5 exposure at lag05 was related to an excess risk of 1.3 % (95 % confidence intervals: 0.9 %, 1.7 %) for AMI incidence from 2017 - 2019 in Shandong Province. The estimated total PM2.5-attributed AMI incident cases would increase by 10.9-125.9 % and 6.4-244.6 % under Scenarios 1 - 3 in 2030 and 2060, whereas they would decrease by 0.9-5.2 % and 33.0-46.2 % under Scenarios 5 - 6 in 2030 and 2060, respectively. Furthermore, the percentage increases in PM2.5-attributed female cases (2030: -0.3 % to 135.1 %; 2060: -33.2 % to 321.5 %) and aging cases (2030: 15.2-171.8 %; 2060: -21.5 % to 394.2 %) would wholly exceed those in male cases (2030: -1.8 % to 133.2 %; 2060: -41.1 % to 264.3 %) and non-aging cases (2030: -41.0 % to 45.7 %; 2060: -89.5 % to -17.0 %) under six scenarios in 2030 and 2060. Population aging is the main driver of increased PM2.5-related AMI incidence under Scenarios 1 - 3 in 2030 and 2060, while improved air quality can offset these negative effects of population aging under the implementation of the carbon neutrality and 1.5 °C targets. CONCLUSION The combination of ambitious climate policies (i.e., 1.5 °C warming limits and carbon neutrality targets) with stringent clean air policies is necessary to reduce the health impacts of air pollution in Shandong Province, China, regardless of population aging.
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Affiliation(s)
- Xiaoyun Ma
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Bingyin Zhang
- Shandong Center for Disease Control and Prevention, and Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
| | - Haiping Duan
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China
| | - Han Wu
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Jing Dong
- Shandong Center for Disease Control and Prevention, and Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
| | - Xiaolei Guo
- Shandong Center for Disease Control and Prevention, and Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
| | - Zilong Lu
- Shandong Center for Disease Control and Prevention, and Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
| | - Jixiang Ma
- Shandong Center for Disease Control and Prevention, and Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China.
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
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6
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Mohammadian-Khoshnoud M, Habibi H, Manafi B, Safarpour G, Soltanian AR. Effects of Air Pollutant Exposure on Acute Myocardial Infarction. Heart Lung Circ 2023; 32:79-89. [PMID: 36428180 DOI: 10.1016/j.hlc.2022.10.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 10/11/2022] [Accepted: 10/13/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Air pollution is a consequence of industrial development that is exacerbated as a result of population growth, and urbanisation. AIM The goal of the study is to investigate the effects of air pollution on the number of cases of acute myocardial infarction (AMI) according to gender using the Zero-inflated Poisson Regression model in Hamadan, Iran. METHODS The study used an ecological design, and data collected from March 2016 to September 2020 in Hamadan were included. The intended response was the number of cases of AMI recorded in the investigated period. The time lag of the pollutants was used to investigate the effect of air pollution on the number of AMIs. RESULTS The number of AMI recorded for men and women was 1,195 and 553, respectively. The average age (±SD) for men and women was 64.60 (±12.27) and 70.98 (±11.79) years, respectively. According to the air quality index in Hamadan, the values of particulate matter < 2.5 μm (PM2.5), SO2, O3, and CO were below moderate levels. Also, according to NO2 and particulate matter between 25 μm-10 μm (PM10), the air quality index of Hamadan was in the very unhealthy mode just for 2 and 3 days, respectively. The O3 and NO2 are significant positive effects on AMI among men. But, PM2.5, PM10, and SO2 are negative impacts on hospitalisation in men due to AMI. For women, PM2.5 and O3 had positive effects on AMI. But, NO2 and PM10 had a significant negative impact on hospitalisation in women during different time lags. CONCLUSIONS The results of the study showed that if the analyses are based on gender, the responses to pollutants are different and hence the stratified analysis is important.
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Affiliation(s)
| | - Hossein Habibi
- Department of Environment, College of Basic Sciences, Hamedan Branch, Islamic Azad University, Hamedan, Iran
| | - Babak Manafi
- Department of Heart Surgery, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Gholamreza Safarpour
- Department of Heart Surgery, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ali Reza Soltanian
- Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
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Inglis SC, Ferguson C, Eddington R, McDonagh J, Aldridge CJ, Bardsley K, Candelaria D, Chen YY, Clark RA, Halcomb E, Hendriks JM, Hickman LD, Wynne R. Cardiovascular Nursing and Climate Change: A Call to Action From the CSANZ Cardiovascular Nursing Council. Heart Lung Circ 2023; 32:16-25. [PMID: 36464619 DOI: 10.1016/j.hlc.2022.10.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/11/2022] [Accepted: 10/11/2022] [Indexed: 12/03/2022]
Abstract
This Call to Action aims to provide key considerations for cardiovascular nursing, related to climate and environmental impacts. Strategies to optimise nursing preparation, immediate response and adaptation to climate emergencies are crucial to ensure those at greatest risk, including First Nations peoples, are protected from potentially avoidable harm. Professionals who manage climate consequences must also understand the impact of their care on the root cause of the problem.
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Affiliation(s)
- Sally C Inglis
- IMPACCT (Improving Palliative, Aged and Chronic Care through Clinical Research and Translation), Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia. https://twitter.com/CSANZCNC
| | - Caleb Ferguson
- School of Nursing, Faculty of Science, Medicine & Health, University of Wollongong, Wollongong, NSW, Australia; Illawarra Health & Medical Research Institute, Wollongong, NSW, Australia; Western Sydney Local Health District, Blacktown Hospital, Sydney, NSW, Australia. https://twitter.com/CSANZCNC
| | - Rebecca Eddington
- Nelson Marlborough District Health Board, New Zealand. https://twitter.com/CSANZCNC
| | - Julee McDonagh
- School of Nursing and Midwifery, College of Health Medicine and Wellbeing, The University of Newcastle, Newcastle, NSW, Australia. https://twitter.com/CSANZCNC
| | - Chris J Aldridge
- Middlemore Hospital, Auckland, New Zealand. https://twitter.com/CSANZCNC
| | - Kimberley Bardsley
- The Prince Charles Hospital, Brisbane, Qld, Australia. https://twitter.com/CSANZCNC
| | - Dion Candelaria
- Susan Wakil School of Nursing & Midwifery, Faculty of Medicine & Health, and Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia. https://twitter.com/CSANZCNC
| | - Y Y Chen
- School of Nursing, Midwifery & Paramedicine, University of the Sunshine Coast, Brisbane, Qld, Australia. https://twitter.com/CSANZCNC
| | - Robyn A Clark
- Caring Futures Research Institute, College of Nursing & Health Sciences, Flinders University, Adelaide, SA, Australia. https://twitter.com/CSANZCNC
| | - Elizabeth Halcomb
- School of Nursing, Faculty of Science, Medicine & Health, University of Wollongong, Wollongong, NSW, Australia; Illawarra Health & Medical Research Institute, Wollongong, NSW, Australia. https://twitter.com/CSANZCNC
| | - Jeroen M Hendriks
- Caring Futures Research Institute, College of Nursing & Health Sciences, Flinders University, Adelaide, SA, Australia; Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, SA, Australia. https://twitter.com/CSANZCNC
| | - Louise D Hickman
- University of Wollongong, Wollongong, NSW, Australia. https://twitter.com/CSANZCNC
| | - Rochelle Wynne
- School of Nursing, Faculty of Science, Medicine & Health, University of Wollongong, Wollongong, NSW, Australia; The Royal Melbourne Hospital, Melbourne, Vic, Australia.
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8
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Association between out-patient visits and air pollution in Chiang Mai, Thailand: Lessons from a unique situation involving a large data set showing high seasonal levels of air pollution. PLoS One 2022; 17:e0272995. [PMID: 35980887 PMCID: PMC9387779 DOI: 10.1371/journal.pone.0272995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 07/29/2022] [Indexed: 11/19/2022] Open
Abstract
Chiang Mai is one of the most known cities of Northern Thailand, representative for various cities in the East and South-East Asian region exhibiting seasonal smog crises. While a few studies have attempted to address smog crises effects on human health in that geographic region, research in this regard is still in its infancy. We exploited a unique situation based on two factors: large pollutant concentration variations due to the Chiang Mai smog crises and a relatively large sample of out-patient visits. About 216,000 out-patient visits in the area of Chiang Mai during the period of 2011 to 2014 for upper (J30-J39) and lower (J44) respiratory tract diseases were evaluated with respect to associations with particulate matter (PM10), ozone (O3), and nitrogen dioxide (NO2) concentrations using single-pollutant and multiple-pollutants Poisson regression models. All three pollutants were found to be associated with visits due to upper respiratory tract diseases (with relative risks RR = 1.023 at cumulative lag 05, 95% CI: 1.021–1.025, per 10 μg/m3 PM10 increase, RR = 1.123 at lag 05, 95% CI: 1.118–1.129, per 10 ppb O3 increase, and RR = 1.110 at lag 05, 95% CI: 1.102–1.119, per 10 ppb NO2 increase). Likewise, all three pollutants were found to be associated with visits due to lower respiratory tract diseases (with RR = 1.016 at lag 06, 95% CI: 1.015–1.017, per 10 μg/m3 PM10 increase, RR = 1.073 at lag 06, 95% CI: 1.070–1.076, per 10 ppb O3 increase, and RR = 1.046 at lag 06, 95% CI: 1.040–1.051, per 10 ppb NO2 increase). Multi-pollutants modeling analysis identified O3 as a relatively independent risk factor and PM10-NO2 pollutants models as promising two-pollutants models. Overall, these results demonstrate the adverse effects of all three air pollutants on respiratory morbidity and call for air pollution reduction and control.
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Posadas-Sánchez R, Vargas-Alarcón G, Cardenas A, Texcalac-Sangrador JL, Osorio-Yáñez C, Sanchez-Guerra M. Long-Term Exposure to Ozone and Fine Particulate Matter and Risk of Premature Coronary Artery Disease: Results from Genetics of Atherosclerotic Disease Mexican Study. BIOLOGY 2022; 11:biology11081122. [PMID: 35892978 PMCID: PMC9332787 DOI: 10.3390/biology11081122] [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: 05/31/2022] [Revised: 07/22/2022] [Accepted: 07/24/2022] [Indexed: 11/26/2022]
Abstract
(1) Background: Epidemiological studies have identified associations between fine particulate matter (PM2.5) and ozone exposure with cardiovascular disease; however, studies linking ambient air pollution and premature coronary artery disease (pCAD) in Latin America are non-existing. (2) Methods: Our study was a case−control analysis nested in the Genetics of Atherosclerotic Disease (GEA) Mexican study. We included 1615 participants (869 controls and 746 patients with pCAD), recruited at the Instituto Nacional de Cardiología Ignacio Chávez from June 2008 to January 2013. We defined pCAD as history of myocardial infarction, angioplasty, revascularization surgery or coronary stenosis > 50% diagnosed before age 55 in men and age 65 in women. Controls were healthy individuals without personal or family history of pCAD and with coronary artery calcification equal to zero. Hourly measurements of ozone and PM2.5 from the Atmospheric Monitoring System in Mexico City (SIMAT in Spanish; Sistema de Monitero Atmosférico de la Ciudad de México) were used to calculate annual exposure to ozone and PM2.5 in the study participants. (3) Results: Each ppb increase in ozone at 1-year, 2-year, 3-year and 5-year averages was significantly associated with increased odds (OR = 1.10; 95% CI: 1.03−1.18; OR = 1.17; 95% CI: 1.05−1.30; OR = 1.18; 95% CI: 1.05−1.33, and OR = 1.13; 95% CI: 1.04−1.23, respectively) of pCAD. We observed higher risk of pCAD for each 5 µg/m3 increase only for the 5-year average of PM2.5 exposure (OR = 2.75; 95% CI: 1.47−5.16), compared to controls. (4) Conclusions: Ozone exposure at different time points and PM2.5 exposure at 5 years were associated with increased odds of pCAD. Our results highlight the importance of reducing long-term exposure to ambient air pollution levels to reduce the burden of cardiovascular disease in Mexico City and other metropolitan areas.
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Affiliation(s)
| | - Gilberto Vargas-Alarcón
- Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico; (R.P.-S.); (G.V.-A.)
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA 94720, USA;
| | | | - Citlalli Osorio-Yáñez
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City 04510, Mexico
- Laboratorio de Fisiología Cardiovascular y Trasplante Renal, Unidad de Investigación en Medicina Traslacional, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México and Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico
- Correspondence: (C.O.-Y.); (M.S.-G.); Tel.: +52-55-5573-2911 (ext. 27319) (C.O.-Y.); +52-55-5520-9900 (ext. 129) (M.S.-G.)
| | - Marco Sanchez-Guerra
- Instituto Nacional de Perinatología, Mexico City 11000, Mexico
- Correspondence: (C.O.-Y.); (M.S.-G.); Tel.: +52-55-5573-2911 (ext. 27319) (C.O.-Y.); +52-55-5520-9900 (ext. 129) (M.S.-G.)
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10
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Effect of Short-Term Exposure to Fine Particulate Matter and Particulate Matter Pollutants on Triggering Acute Myocardial Infarction and Acute Heart Failure. Am J Cardiol 2022; 175:158-163. [PMID: 35595553 DOI: 10.1016/j.amjcard.2022.03.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/16/2022] [Accepted: 03/18/2022] [Indexed: 11/20/2022]
Abstract
Long-term exposure to high concentrations of air pollution is known to lead to increased cardiovascular disease, but it remains unclear whether short-term exposure increases the incidence of acute myocardial infarction (AMI) and acute heart failure (AHF). A time-stratified case-crossover design was used, including data from the 2-year period (January 1, 2017 to December 31, 2018), from the National Health Insurance Academic Research Database of Taiwan. Air pollution data were obtained from the Air Quality Monitoring Station of the Environmental Protection Agency of the Executive Yuan. A generalized linear model was used for statistical analysis. In areas with a long-term moderate severity of air pollution, a 10 μg/m3 increase in fine particulate matter (PM2.5) and particulate matter (PM10) exposure in a short period of time coincided with an increase in AMI by 6.5% to 6.7% and 0.9% to 1.1%, respectively, and AHF by 6.1% to 6.4% and 0.9% to 1.0%, respectively. A long-term high severity of air pollution (PM2.5 and PM10) coincided with an increase in AMI by 7.9% to 8.8% and 4.4% to 4.9%, respectively, and AHF by 7.6% to 8.4% and 4.3% to 4.8%, respectively. In areas with a long-term moderate or high severity of air pollution, short-term exposure to high concentrations of PM2.5 and PM10 pollution is positively correlated with AMI and AHF.
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11
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Heo S, Son JY, Lim CC, Fong KC, Choi HM, Hernandez-Ramirez RU, Nyhan K, Dhillon PK, Kapoor S, Prabhakaran D, Spiegelman D, Bell ML. Effect modification by sex for associations of fine particulate matter (PM 2.5) with cardiovascular mortality, hospitalization, and emergency room visits: systematic review and meta-analysis. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2022; 17:053006. [PMID: 35662857 PMCID: PMC9162078 DOI: 10.1088/1748-9326/ac6cfb] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Particulate matter with aerodynamic diameter no larger than 2.5 μm (PM2.5) has been linked to cardiovascular diseases (CVDs) but evidence for vulnerability by sex remains unclear. We performed systematic review and meta-analysis to synthesize the state of scientific evidence on whether cardiovascular risks from PM2.5 differ for men compared to women. The databases Pubmed, Scopus, Embase, and GreenFILE were searched for studies published Jan. 1995 to Feb. 2020. Observational studies conducting subgroup analysis by sex for impacts of short-term or long-term exposure to PM2.5 on target CVDs were included. Data were independently extracted in duplicate and pooled with random-effects meta-regression. Risk ratios (RRs) for long-term exposure and percent changes in outcomes for short-term exposure were calculated per 10 μg/m3 PM2.5 increase. Quality of evidence of risk differences by sex was rated following Grading of Recommendations Assessment, Development and Evaluation (GRADE). A total of 12,502 articles were screened, with 61 meeting inclusion criteria. An additional 32 studies were added from citation chaining. RRs of all CVD mortality for long-term PM2.5 for men and women were the same (1.14; 95% CI: 1.09, 1.22) indicating no statistically different risks. Men and women did not have statistically different risks of daily CVD mortality, hospitalizations from all CVD, ischemic heart disease, cardiac arrest, acute myocardial infarction, and heart failure from short-term PM2.5 exposure (difference in % change in risk per 10 μg/m3 PM2.5: 0.04 (95% CI, -0.42 to 0.51); -0.05 (-0.47 to 0.38); 0.17 (-0.90, 1.24); 1.42 (-1.06, 3.97); 1.33 (-0.05, 2.73); and -0.48 (-1.94, 1.01), respectively). Analysis using GRADE found low or very low quality of evidence for sex differences for PM2.5-CVD risks. In conclusion, this meta-analysis and quality of evidence assessment of current observational studies found very limited evidence of the effect modification by sex for effects of PM2.5 on CVD outcomes in adults, which can inform clinical approaches and policies.
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Affiliation(s)
- Seulkee Heo
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Ji-Young Son
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Chris C Lim
- School of the Environment, Yale University, New Haven, CT, United States of America
- Community, Environment & Policy Department, Mel & Enid Zuckerman College of Public Health, The University of Arizona, Tucson, AZ, United States of America
| | - Kelvin C Fong
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Hayon Michelle Choi
- School of the Environment, Yale University, New Haven, CT, United States of America
| | - Raul U Hernandez-Ramirez
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | - Kate Nyhan
- Harvey Cushing / John Hay Whitney Medical Library, Yale School of Public Health, Yale University, New Haven, CT, United States of America
- Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | | | | | - Dorairaj Prabhakaran
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Donna Spiegelman
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven, CT, United States of America
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12
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Yen CC, Chen PL. Regional air pollution severity affects the incidence of acute myocardial infarction triggered by short-term pollutant exposure: a time-stratified case-crossover analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:8473-8478. [PMID: 34487323 PMCID: PMC8420147 DOI: 10.1007/s11356-021-16273-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 08/27/2021] [Indexed: 06/01/2023]
Abstract
Long-term exposure to air pollution results in a high incidence of cardiovascular disease. Many studies have found that short-term exposure to air pollution can trigger acute myocardial infarction. This study aims to determine whether results in areas with different levels of severity of air pollution are similar. The study design is a time-stratified case-crossover analysis. This was a retrospective study based on hospital medical records. The study period was since 1 January 2017 to 31 December 2018. Research data were collected from Taoyuan Hospital, located in an area with low severity of pollution, and Taichung Hospital, located in an area with high severity of pollution. The correlation between short-term air pollution exposure and acute myocardial infarction was analyzed. The correlation between short-term exposure to ambient air pollutants and acute myocardial infarction was not significant for the cases collected from Taoyuan Hospital (PM2.5 OR: 1.006 and 95% CI: 0.995-1.017; PM10 OR: 0.996 and 95% CI: 0.988-1.003). However, for the cases collected from Taichung Hospital, short-term exposure to ambient PM2.5 (odds ratio: 1.021; 95% confidence interval: 1.002-1.040) and PM10 (odds ratio: 1.010; 95% confidence interval: 1.001-1.020) resulted in high incidence of acute myocardial infarction. Short-term pollutant exposure will increase the incidence of acute myocardial infarction based on the severity of regional air pollution. In addition to addressing traditional cardiovascular disease risk factors, the government must formulate relevant policies for reducing air pollution and the resulting hazards to citizens' health.
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Affiliation(s)
- Chih-Chien Yen
- Division of Cardiovascular Surgery, Department of Surgery, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan, Republic of China
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, No. 250, Wu-Hsing St., Xinyi Dist., Taipei City, 110, Taiwan, Republic of China
| | - Ping-Ling Chen
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, No. 250, Wu-Hsing St., Xinyi Dist., Taipei City, 110, Taiwan, Republic of China.
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13
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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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14
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Zhou H, Geng H, Dong C, Bai T. The short-term harvesting effects of ambient particulate matter on mortality in Taiyuan elderly residents: A time-series analysis with a generalized additive distributed lag model. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 207:111235. [PMID: 32942099 DOI: 10.1016/j.ecoenv.2020.111235] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 08/17/2020] [Accepted: 08/23/2020] [Indexed: 06/11/2023]
Abstract
The evaluation on mortality displacement and distributed lag effects of airborne particulate matter (PM) on death risks is important to understand the positive association of short-term pollution from both ambient PM10 and PM2.5 with daily mortality. Herein, short-term influences of urban PM10 and PM2.5 exposure on the mortality of respiratory diseases (RD) and cardiovascular diseases (CVD) were studied at Taiyuan, China, a typical inland city suffering from heavy ambient PM loading and having high morbidity of RD and CVD. Using a time-series analysis with generalized additive distributed lag model (DLM), the potential mortality displacement was determined and the single-day and cumulative lag-day effects of PM on mortality were estimated after the daily mass concentrations of urban PM2.5 and PM10 from January 2013 to October 2015 and the daily number of non-accidental death (NAD) and cause-specific mortality in the residents aged more than 65 years old were obtained. Results showed there were significant associations of PM2.5 and PM10 with daily mortality on the current day and within one week. And a statistically significant increase (P < 0.05) in the cumulative effect estimates of PM2.5 and PM10 on CVD, ischemic heart disease (IHD), and myocardial infarction (MI) mortality (as well as PM2.5 on NAD) was observed, while the associations of PM2.5 with RD and pneumonia mortality, PM10 with NAD and RD mortality were not statistically significant, when the exposure window was extended to lag 0-30 days. It was concluded that there were harvesting effects and cumulative effects of ambient PM2.5 and PM10 on the elderly residents' mortality due to RD and CVD at Taiyuan and they could be estimated quantitatively when the broader time window was used, suggesting that the underestimation on the association of ambient PM with non-accidental death can be avoided using the present method in our study.
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Affiliation(s)
- Huan Zhou
- Institute of Environmental Science, Shanxi University, Taiyuan, 030006, China
| | - Hong Geng
- Institute of Environmental Science, Shanxi University, Taiyuan, 030006, China.
| | - Chuan Dong
- Institute of Environmental Science, Shanxi University, Taiyuan, 030006, China.
| | - Tao Bai
- Department of pathology, the First Hospital of Shanxi Medical University, Taiyuan, 030001, China
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15
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Zhang S, Routledge MN. The contribution of PM 2.5 to cardiovascular disease in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:37502-37513. [PMID: 32691311 PMCID: PMC7496016 DOI: 10.1007/s11356-020-09996-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 07/01/2020] [Indexed: 05/02/2023]
Abstract
China is experiencing rapid urbanization and industrialization with correspondingly high levels of air pollution. Although the harm of PM2.5 has been long reported, it is only quite recently that there is increasing concern in China for its possible adverse health effects on cardiovascular disease. We reviewed the epidemiologic evidence of potential health effects of PM2.5 on cardiovascular disease reported from recent studies in China (2013 onwards). There is clear evidence for the contribution of PM2.5 to cardiovascular outcomes, including mortality, ischemic heart disease, and stroke from studies based in various regions in China. This evidence adds to the global evidence that PM2.5 contributes to adverse cardiovascular health risk and highlights the need for improved air quality in China.
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Affiliation(s)
- Shuqi Zhang
- School of Public Health, Fudan University, Shanghai, 200032 China
| | - Michael N. Routledge
- Leeds Institute of Cardiovascular & Metabolic Medicine, University of Leeds, Leeds, LS2 9JT UK
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China
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16
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Stieb DM, Zheng C, Salama D, BerjawI R, Emode M, Hocking R, Lyrette N, Matz C, Lavigne E, Shin HH. Systematic review and meta-analysis of case-crossover and time-series studies of short term outdoor nitrogen dioxide exposure and ischemic heart disease morbidity. Environ Health 2020; 19:47. [PMID: 32357902 PMCID: PMC7195719 DOI: 10.1186/s12940-020-00601-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 04/20/2020] [Indexed: 05/25/2023]
Abstract
BACKGROUND Nitrogen dioxide (NO2) is a pervasive urban pollutant originating primarily from vehicle emissions. Ischemic heart disease (IHD) is associated with a considerable public health burden worldwide, but whether NO2 exposure is causally related to IHD morbidity remains in question. Our objective was to determine whether short term exposure to outdoor NO2 is causally associated with IHD-related morbidity based on a synthesis of findings from case-crossover and time-series studies. METHODS MEDLINE, Embase, CENTRAL, Global Health and Toxline databases were searched using terms developed by a librarian. Screening, data extraction and risk of bias assessment were completed independently by two reviewers. Conflicts between reviewers were resolved through consensus and/or involvement of a third reviewer. Pooling of results across studies was conducted using random effects models, heterogeneity among included studies was assessed using Cochran's Q and I2 measures, and sources of heterogeneity were evaluated using meta-regression. Sensitivity of pooled estimates to individual studies was examined using Leave One Out analysis and publication bias was evaluated using Funnel plots, Begg's and Egger's tests, and trim and fill. RESULTS Thirty-eight case-crossover studies and 48 time-series studies were included in our analysis. NO2 was significantly associated with IHD morbidity (pooled odds ratio from case-crossover studies: 1.074 95% CI 1.052-1.097; pooled relative risk from time-series studies: 1.022 95% CI 1.016-1.029 per 10 ppb). Pooled estimates for case-crossover studies from Europe and North America were significantly lower than for studies conducted elsewhere. The high degree of heterogeneity among studies was only partially accounted for in meta-regression. There was evidence of publication bias, particularly for case-crossover studies. For both case-crossover and time-series studies, pooled estimates based on multi-pollutant models were smaller than those from single pollutant models, and those based on older populations were larger than those based on younger populations, but these differences were not statistically significant. CONCLUSIONS We concluded that there is a likely causal relationship between short term NO2 exposure and IHD-related morbidity, but important uncertainties remain, particularly related to the contribution of co-pollutants or other concomitant exposures, and the lack of supporting evidence from toxicological and controlled human studies.
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Affiliation(s)
- David M. Stieb
- Environmental Health Science and Research Bureau, Health Canada, 420-757 West Hastings St. - Federal Tower, Vancouver, BC V6C 1A1 Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Carine Zheng
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Dina Salama
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Rania BerjawI
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Monica Emode
- School of Population and Public Health, University of British Columbia, Vancouver, Canada
| | - Robyn Hocking
- Learning, Knowledge and Library Services, Health Canada, Ottawa, Canada
| | - Ninon Lyrette
- Water and Air Quality Bureau, Health, Canada, Ottawa, Canada
| | - Carlyn Matz
- Water and Air Quality Bureau, Health, Canada, Ottawa, Canada
| | - Eric Lavigne
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
- Water and Air Quality Bureau, Health, Canada, Ottawa, Canada
| | - Hwashin H. Shin
- Environmental Health Science and Research Bureau, Health Canada, 420-757 West Hastings St. - Federal Tower, Vancouver, BC V6C 1A1 Canada
- Department of Mathematics and Statistics, Queen’s University, Kingston, Canada
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17
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Farhadi Z, Abulghasem Gorgi H, Shabaninejad H, Aghajani Delavar M, Torani S. Association between PM 2.5 and risk of hospitalization for myocardial infarction: a systematic review and a meta-analysis. BMC Public Health 2020; 20:314. [PMID: 32164596 PMCID: PMC7068986 DOI: 10.1186/s12889-020-8262-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 01/22/2020] [Indexed: 12/11/2022] Open
Abstract
Background It is generally assumed that there have been mixed results in the literature regarding the association between ambient particulate matter (PM) and myocardial infarction (MI). The aim of this meta-analysis was to explore the rate of short-term exposure PM with aerodynamic diameters ≤2.5 μm (PM2.5) and examine its potential effect(s) on the risk of MI. Methods A systematic search was conducted on databases like PubMed, Scopus, Web of Science, and Embase with components: “air pollution” and “myocardial infarction”. The summary relative risk (RR) and 95% confidence intervals (95%CI) were also calculated to assess the association between the PM2.5 and MI. Results Twenty-six published studies were ultimately identified as eligible candidates for the meta-analysis of MI until Jun 1, 2018. The results illustrated that a 10-μg/m 3 increase in PM2.5 was associated with the risk of MI (RR = 1.02; 95% CI 1.01–1.03; P ≤ 0.0001). The heterogeneity of the studies was assessed through a random-effects model with p < 0.0001 and the I2 was 69.52%, indicating a moderate degree of heterogeneity. We also conducted subgroup analyses including study quality, study design, and study period. Accordingly, it was found that subgroups time series study design and high study period could substantially decrease heterogeneity (I2 = 41.61, 41.78). Conclusions This meta-analysis indicated that exposure – response between PM2.5 and MI. It is vital decision makers implement effective strategies to help improve air pollution, especially in developing countries or prevent exposure to PM2.5 to protect human health.
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Affiliation(s)
- Zeynab Farhadi
- Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Hasan Abulghasem Gorgi
- Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran. .,Department of Health Economics, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
| | - Hosein Shabaninejad
- Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Mouloud Aghajani Delavar
- Infertility and Reproductive Health Research Center, Research Institute for Health, Babol University of Medical Sciences, Babol, Iran
| | - Sogand Torani
- Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
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18
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Ishii M, Seki T, Kaikita K, Sakamoto K, Nakai M, Sumita Y, Nishimura K, Miyamoto Y, Noguchi T, Yasuda S, Kanaoka K, Terasaki S, Saito Y, Tsutsui H, Komuro I, Ogawa H, Tsujita K, Kawakami K. Association of short-term exposure to air pollution with myocardial infarction with and without obstructive coronary artery disease. Eur J Prev Cardiol 2020; 28:1435-1444. [PMID: 34695220 DOI: 10.1177/2047487320904641] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 10/09/2019] [Indexed: 11/16/2022]
Abstract
Background Air pollution including particulate matter with an aerodynamic diameter ≤2.5 µm (PM2.5) increases the risk of acute myocardial infarction. However, whether short-term exposure to PM2.5 triggers the onset of myocardial infarction with nonobstructive coronary arteries, compared with myocardial infarction with coronary artery disease, has not been elucidated. This study aimed to estimate the association between short-term exposure to PM2.5 and admission for acute myocardial infarction, myocardial infarction with coronary artery disease, and myocardial infarction with nonobstructive coronary arteries. Design This was a time-stratified case-crossover study and multicenter validation study. Methods This study used a nationwide administrative database in Japan between April 2012–March 2016. Of 137,678 acute myocardial infarction cases, 123,633 myocardial infarction with coronary artery disease and 14,045 myocardial infarction with nonobstructive coronary arteries were identified by a validated algorithm combined with International Classification of Disease (10th revision), diagnostic, and procedure codes. Air pollutants and meteorological data were obtained from the monitoring station nearest to the admitting hospital. Results In spring (March–May), the short-term increase of 10 µg/m3 in PM2.5 2 days before admission was significantly associated with admission for acute myocardial infarction, myocardial infarction with nonobstructive coronary arteries, and myocardial infarction with coronary artery disease after adjustment for meteorological variables (odds ratio 1.060, 95% confidence interval 1.038–1.082; odds ratio 1.151, 1.079–1.227; odds ratio 1.049, 1.026–1.073, respectively), while the association was not significant in other variables. These associations were also observed after adjustment for other co-pollutants. The risk for myocardial infarction with nonobstructive coronary arteries (vs myocardial infarction with coronary artery disease) was associated with an even lower concentration of PM2.5 under the current environmental standards. Conclusions This study showed the seasonal difference of acute myocardial infarction risk attributable to PM2.5 and the difference in the threshold of triggering the onset of acute myocardial infarction subtype.
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Affiliation(s)
- Masanobu Ishii
- Graduate School of Medical Sciences, Kumamoto University, Japan
- Graduate School of Medicine and Public Health, Kyoto University, Japan
- National Cerebral and Cardiovascular Center, Japan
| | - Tomotsugu Seki
- Graduate School of Medicine and Public Health, Kyoto University, Japan
| | - Koichi Kaikita
- Graduate School of Medical Sciences, Kumamoto University, Japan
| | - Kenji Sakamoto
- Graduate School of Medical Sciences, Kumamoto University, Japan
| | | | - Yoko Sumita
- National Cerebral and Cardiovascular Center, Japan
| | | | | | | | | | | | | | | | | | - Issei Komuro
- Graduate School of Medicine and Faculty of Medicine, University of Tokyo, Japan
| | - Hisao Ogawa
- National Cerebral and Cardiovascular Center, Japan
| | - Kenichi Tsujita
- Graduate School of Medical Sciences, Kumamoto University, Japan
| | - Koji Kawakami
- Graduate School of Medicine and Public Health, Kyoto University, Japan
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19
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Wu Y, Li M, Tian Y, Cao Y, Song J, Huang Z, Wang X, Hu Y. Short-term effects of ambient fine particulate air pollution on inpatient visits for myocardial infarction in Beijing, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:14178-14183. [PMID: 30859442 DOI: 10.1007/s11356-019-04728-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 02/27/2019] [Indexed: 06/09/2023]
Abstract
The effects of ambient fine particulate matter (PM2.5) on the incidence of myocardial infarction have been reported, but little is known about this association in China. We conducted a time-series study of ambient PM2.5 concentrations and inpatient visits for myocardial infarction in Beijing. A generalized additive model with a Poisson link was applied to estimate the percentage change in inpatient visits for myocardial infarction following a 10-μg/m3 increase in PM2.5 concentrations. A total of 15,432 inpatient visits for myocardial infarction were identified between January 1, 2010, and June 30, 2012. A 10-μg/m3 increase in PM2.5 concentrations was associated with a 0.46% (P ≤ 0.001) increase in daily inpatient visits for myocardial infarction. Males were more sensitive to the adverse effects, and the association was more significant during the warm season (May through October). Short-term exposure to PM2.5 was associated with increased risk of inpatient visits for myocardial infarction in Beijing. The findings may be useful in developing more accurate targeted interventions.
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Affiliation(s)
- Yao Wu
- School of Public Health, Peking University, Beijing, 100191, China
| | - Man Li
- School of Public Health, Peking University, Beijing, 100191, China
| | - Yaohua Tian
- School of Public Health, Peking University, Beijing, 100191, China
| | - Yaying Cao
- School of Public Health, Peking University, Beijing, 100191, China
| | - Jing Song
- School of Public Health, Peking University, Beijing, 100191, China
| | - Zhe Huang
- School of Public Health, Peking University, Beijing, 100191, China
| | - Xiaowen Wang
- School of Public Health, Peking University, Beijing, 100191, China
| | - Yonghua Hu
- School of Public Health, Peking University, Beijing, 100191, China.
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20
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Yu Y, Yao S, Dong H, Wang L, Wang C, Ji X, Ji M, Yao X, Zhang Z. Association between short-term exposure to particulate matter air pollution and cause-specific mortality in Changzhou, China. ENVIRONMENTAL RESEARCH 2019; 170:7-15. [PMID: 30554054 DOI: 10.1016/j.envres.2018.11.041] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 11/08/2018] [Accepted: 11/25/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND Extensive studies have linked ambient particulate matter (PM) to an increased mortality burden from a wide range of causes. However, the effects of PM on mortality rates from specific causes were unclear. This study aimed to estimate the detrimental effects of PM on cause specific deaths in Changzhou, China. METHOD Data representing daily mortality rates, weather conditions and particulate air pollution levels were obtained from government-controlled agencies of Changzhou, from January 1, 2015 to December 31, 2016. An inverse distance weighting method was used to assess the population exposure to PM and a time-series was performed to detect the detrimental effects of PM. RESULTS Positive associations were identified between PMs and daily mortality rates from non-accidental, circulatory, hypertensive, respiratory and chronic lower respiratory causes at a lag of 0-3 days. The effects of PMs were strongest on hypertensive mortality, with an increase of 5.27% (95% confidence interval (CI): 2.43-8.19%) and 3.52% (95% CI: 1.55-5.53%), per 10 μg/m3 increment in PM2.5 and PM10 respectively. The elderly exhibited a higher mortality risk with PMs exposure. Females were more vulnerable to circulatory, hypertensive and respiratory death while males were more sensitive to chronic lower respiratory and neurodegenerative mortality. The effects were stronger in warm seasons for circulatory mortality and stronger in cold seasons for respiratory mortality. CONCLUSION These findings indicate that PM could exert adverse influences on the outcomes of several pathological processes, especially for women and the elderly with hypertension disease.
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Affiliation(s)
- Yongquan Yu
- Department of Occupational Medicine and Environmental Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, PR China
| | - Shen Yao
- Department of Occupational Medicine and Environmental Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, PR China; Department of Chronic Disease Control and Prevention, Changzhou Center for Disease Control and Prevention, 203 Taishan Road, Changzhou, Jiangsu 213022, PR China
| | - Huibin Dong
- Department of Chronic Disease Control and Prevention, Changzhou Center for Disease Control and Prevention, 203 Taishan Road, Changzhou, Jiangsu 213022, PR China
| | - Li Wang
- Department of Hygiene Analysis and Detection, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, PR China
| | - Chao Wang
- Department of Occupational Medicine and Environmental Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, PR China
| | - Xiaoming Ji
- Department of Occupational Medicine and Environmental Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, PR China
| | - Minghui Ji
- Department of Occupational Medicine and Environmental Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, PR China
| | - Xingjuan Yao
- Department of Chronic Disease Control and Prevention, Changzhou Center for Disease Control and Prevention, 203 Taishan Road, Changzhou, Jiangsu 213022, PR China
| | - Zhan Zhang
- Department of Occupational Medicine and Environmental Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, PR China; Department of Hygiene Analysis and Detection, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, PR China.
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