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Yen CC, Hsiao PJ, Chu CM, Chen PL. The impact of COVID-19 pandemic on air particulate matter exposure and heart attacks: a 5-year retrospective cohort study in Taiwan (2017-2021). Front Public Health 2024; 12:1321129. [PMID: 38476499 PMCID: PMC10927788 DOI: 10.3389/fpubh.2024.1321129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 02/12/2024] [Indexed: 03/14/2024] Open
Abstract
Background Heart attacks including acute ST-segment elevation myocardial infarction (STEMI) and acute decompensated heart failure (ADHF) caused from the particulate matter (PM) and air pollutant exposures are positively associated with regional air pollution severity and individual exposure. The exceptional coronavirus disease epidemic of 2019 (COVID-19) may enhance the air conditions in areas under COVID-19 pandemic. We sought to study the impact of COVID-19 pandemic on air particulate matter (PM) exposure and heart attacks in Taiwan. Methods This retrospective cohort study was conducted in one teaching hospital in Taichung, Taiwan. We examined emergency patients diagnosed with acute STEMI and ADHF from January 1, 2017, to March 31, 2020, (i.e., before the COVID-19 pandemic) and from April 1, 2020, to December 31, 2021, (after the COVID-19 pandemic). The effects of particulate matter with a diameter of less than 2.5 micrometers (PM2.5) and PM10 as well as temperature and humidity on environmental air pollutants were recorded. The analysis was performed with a unidirectional case-crossover research design and a conditional logistic regression model. Results Both PM2.5 and PM10 levels had a positive association with the risk of acute STEMI before the COVID-19 pandemic (PM2.5 adjusted odds ratio (OR): 1.016, 95% confidence interval (CI): 1.003-1.032 and PM10 adjusted OR: 1.009, 95% CI: 1.001-1.018) and ADHF (PM2.5 adjusted OR: 1.046, 95% CI: 1.034-1.067 and PM10 adjusted OR: 1.023, 95% CI: 1.027-1.047). Moreover, the results demonstrated that PM2.5 and PM10 were not associated with the risk of acute STEMI or ADHF after the COVID-19 pandemic. Reduction in PM2.5 and PM10 levels after the COVID-19 pandemic were noted. Hospital admissions for acute STEMI (7.4 and 5.8/per month) and ADHF (9.7 and 8.2/per month) also decreased (21.6 and 15.5%) after the COVID-19 pandemic. Conclusion In Taiwan, paradoxical reductions in PM2.5 and PM10 levels during the COVID-19 pandemic may decrease the number of hospital admissions for acute STEMI and ADHF. As the COVID-19 pandemic eases, the condition of air pollution may gradually become worse again. The governments should formulate better policies to improve the health of the public and the quality of the air.
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Affiliation(s)
- Chih-Chien Yen
- Department of Surgery, Division of Cardiovascular Surgery, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan
- Department of Surgery, Division of Cardiovascular Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Po-Jen Hsiao
- Department of Internal Medicine, Division of Nephrology, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan
- Department of Internal Medicine, Division of Nephrology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Department of Life Sciences, National Central University, Taoyuan, Taiwan
| | - Chi-Ming Chu
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
- Department of Public Health, School of Public Health, China Medical University, Taichung, Taiwan
| | - Ping-Ling Chen
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan
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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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Zhao Y, Zou J, Chen Y, Zhou J, Dai W, Peng M, Li X, Jiang S. Changes of the acute myocardial infarction-related resident deaths in a transitioning region: a real-world study involving 3.17 million people. Front Public Health 2023; 11:1096348. [PMID: 37670829 PMCID: PMC10476525 DOI: 10.3389/fpubh.2023.1096348] [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: 11/12/2022] [Accepted: 04/10/2023] [Indexed: 09/07/2023] Open
Abstract
Background The impact of acute myocardial infarction (AMI) on the life span of residents in a transitioning region has not been studied in depth. Therefore, we aimed to evaluate the changes in AMI-related resident deaths in a transitioning region in China. Methods A longitudinal, population-based study was performed to analyze the deaths with/of AMI in Pudong New Area (PNA), Shanghai from 2005 to 2021. The average annual percentage change (AAPC) of AMI in crude mortality rates (CMR), age-standardized mortality rates worldwide (ASMRW), and rates of years of life lost (YLLr) were calculated by the joinpoint regression. The impact of demographic and non-demographic factors on the mortality of residents who died with/of AMI was quantitatively analyzed by the decomposition method. Results In 7,353 residents who died with AMI, 91.74% (6,746) of them were died of AMI from 2005 to 2021. In this period, the CMR and ASMRW of residents died with/of AMI were 15.23/105 and 5.17/105 person-years, the AAPC of CMR was 0.01% (95% CI: -0.71,0.72, p = 0.989) and 0.06% (95% CI: -0.71,0.84, p = 0.868), and the ASMRW decreased by 2.83% (95% CI: -3.66,-2.00, p < 0.001) and 2.76% (95% CI: -3.56,-1.95, p < 0.001), respectively. The CMR of people died of AMI showed a downward trend (all p < 0.05) in people ≥60 years but an upward trend [AAPC = 2.47% (95% CI: 0.07,4.94, p = 0.045)] in people of 45-59 years. The change in CMR of people died with/of AMI caused by demographic factors was 28.70% (95% CI: 12.99,46.60, p = 0.001) and 28.07% (95% CI: 12.71,45.52, p = 0.001) per year, respectively. Conclusion Preventative strategies for AMI should be applied to enhance the health management of residents aged 45-59 years or with comorbidities in the transitioning region.
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Affiliation(s)
- Yajun Zhao
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zou
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yichen Chen
- Office of Scientific Research and Information Management, Centres for Disease Control and Prevention, Shanghai, China
- Office of Scientific Research and Information Management, Pudong Institute of Preventive Medicine, Shanghai, China
- School of Public Health, Fudan University, Shanghai, China
| | - Jing Zhou
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei Dai
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Minghui Peng
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaopan Li
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
- Office of Scientific Research and Information Management, Pudong Institute of Preventive Medicine, Shanghai, China
| | - Sunfang Jiang
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Health Management Centre, Zhongshan Hospital, Fudan University, Shanghai, China
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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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Huang QS, Zhou LX, Yang LL, Jiang YX, Xiao H, Li DW, Zhou YM, Hu YG, Li N, Li YF, Ji AL, Luo P, Cai TJ. Association between ambient carbon monoxide levels and hospitalization costs of patients with myocardial infarction: Potential effect modification by ABO blood group. ENVIRONMENTAL RESEARCH 2023; 216:114516. [PMID: 36220442 DOI: 10.1016/j.envres.2022.114516] [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: 06/24/2022] [Revised: 09/29/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
Previous researches have reported the association between air pollution and various diseases. However, few researches have investigated whether air pollutants are associated with the economic loss resulting from patients' hospitalization, especially the economic loss of hospitalization due to acute cardiovascular events. The purpose of our research was to explore the association between the levels of carbon monoxide (CO), taken as an index of pollution, and the hospitalization costs of myocardial infarction (MI), and the potential effect modification by the ABO blood group. A total of 3237 MI inpatients were included in this study. A multiple linear regression model was used to evaluate the association between ambient CO levels and hospitalization costs of MI patients. Moreover, we performed stratified analyses by age, gender, body mass index (BMI), season, hypertension, and ABO blood types. There was a positive association between the levels of CO in the air and the costs of hospitalization caused by MI. Furthermore, such association was stronger in males, BMI ≥25, <65 years, with hypertension, and non-O blood group. Interestingly, we found the association was particularly significant in patients with blood group B. Overall, our study first found that ambient CO levels could have an impact on the hospitalization costs for MI patients, and those with blood group B can be more sensitive.
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Affiliation(s)
- Qing-Song Huang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Lai-Xin Zhou
- Medical Department, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Li-Li Yang
- Department of Information, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, 400037, China
| | - Yue-Xu Jiang
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Da-Wei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yu-Meng Zhou
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Yue-Gu Hu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Na Li
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Ya-Fei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China
| | - Ai-Ling Ji
- Department of Preventive Medicine, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, China
| | - Peng Luo
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China.
| | - Tong-Jian Cai
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China; Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
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Huang HJ, Yu QY, Zheng T, Wang SS, Yang XJ. Associations between seasonal ambient air pollution and adverse perinatal outcomes: a retrospective cohort study in Wenzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:59903-59914. [PMID: 35397724 DOI: 10.1007/s11356-022-20084-6] [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: 12/20/2021] [Accepted: 03/31/2022] [Indexed: 06/14/2023]
Abstract
Prenatal exposure to ambient air pollution has been associated with adverse perinatal outcomes in previous studies. However, few studies have examined the interaction between air pollution and the season of conception on term low birth weight (TLBW) or macrosomia. Birth registry data of singleton live births in Wenzhou, China, between January 2015 and December 2016 were accessed from the Wenzhou Maternal and Child Health Information Management platform, and data on the ambient air pollutants in Wenzhou were obtained from the Chinese Air Quality Online Monitoring and Analysis Platform. Single-/two-pollutant binary logistic regression models were used to assess the associations between ambient air pollutants (PM2.5, PM10, NO2, SO2, and O3) and TLBW/macrosomia, further exploring whether the season of conception interacts with air pollution to impact birth weight. Finally, 213,959 term newborns were selected, including 2452 (1.1%) infants with TLBW and 13,173 (6.1%) infants with macrosomia. In the single-/two-pollutant models, we observed an increased risk of TLBW associated with maternal exposure to PM2.5, PM10, SO2, and NO2 during the entire pregnancy, especially in the 2nd trimester. Maternal exposure to O3 during the 1st trimester was associated with increased macrosomia risk, and O3 exposure during the 3rd trimester was associated with increased TLBW risk. Pregnant women who conceive in the warm season may experience a more adverse ambient air environment that is related to the risks of TLBW. These findings add to the evidence suggesting that air pollution and the season of conception may have synergistic effects on adverse perinatal outcomes, especially TLBW. Further prospective cohort studies are needed to validate our results.
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Affiliation(s)
- Hui-Jun Huang
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Qiu-Yan Yu
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Tian Zheng
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Shan-Shan Wang
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xin-Jun Yang
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
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