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Ning Z, Ma Y, He S, Li G, Hua X, Ma C, Wu J. Effects of combined exposure to fine particulate matter and cold waves and on IHD hospitalizations at low and high altitudes. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 283:116977. [PMID: 39216221 DOI: 10.1016/j.ecoenv.2024.116977] [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: 06/14/2024] [Revised: 07/30/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024]
Abstract
Climate change and air pollution are major challenges facing the world today. Cold waves and air pollution significantly impact ischemic heart disease (IHD), but the extent of these effects at different altitudes remains unclear, especially their interactions. We collected daily meteorological, pollutant, and IHD hospitalization data from Xining and Xinxiang from 2016 to 2021. Using a time-stratified case-crossover approach, we fitted conditional Poisson regression models to assess the association between cold waves, PM2.5, and IHD hospitalizations and quantified their interactions. Additionally, we calculated the attributable fraction (AF) and attributable number (AN) of hospitalizations due to exposure to cold waves and medium to high-level PM2.5. We also performed stratified analyses by altitude, gender, and age. Both cold waves and PM2.5 were positively associated with IHD hospitalization rates in Xining and Xinxiang, but the differences between the two regions were not significant. The relative risk of cold waves was 1.15 (1.07, 1.24) in Xining and 1.16 (1.11, 1.21) in Xinxiang. In Xining, there was an interaction between cold waves and different levels of PM2.5. We estimated the attributable fraction due to the joint exposure of cold waves and PM2.5 to be 0.14-0.49 in Xining and 0.26-0.36 in Xinxiang. Older adults and males faced higher risks. This study highlights the importance of reducing PM2.5 exposure and optimizing extreme weather warning systems and suggests further exploration of the impacts of individual behaviors and regional characteristics on IHD.
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Affiliation(s)
- Zhenxu Ning
- Department of Public Health, Qinghai University Medical College, Xining, Qinghai 810016, China
| | - Yanjun Ma
- Qinghai Institute of Health Sciences, Xining, Qinghai 810016, China.
| | - Shuzhen He
- Xining Centre for Disease Control and Prevention, Xining, Qinghai 810000, China.
| | - Genshan Li
- Department of Public Health, Qinghai University Medical College, Xining, Qinghai 810016, China
| | - Xiaojuan Hua
- Department of Public Health, Qinghai University Medical College, Xining, Qinghai 810016, China
| | - Chunguang Ma
- Xining Centre for Disease Control and Prevention, Xining, Qinghai 810000, China
| | - Jing Wu
- Xining Centre for Disease Control and Prevention, Xining, Qinghai 810000, China
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Zhang S, Li X, Zhang L, Zhang Z, Li X, Xing Y, Wenger JC, Long X, Bao Z, Qi X, Han Y, Prévôt ASH, Cao J, Chen Y. Disease types and pathogenic mechanisms induced by PM 2.5 in five human systems: An analysis using omics and human disease databases. ENVIRONMENT INTERNATIONAL 2024; 190:108863. [PMID: 38959566 DOI: 10.1016/j.envint.2024.108863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/21/2024] [Accepted: 06/28/2024] [Indexed: 07/05/2024]
Abstract
Atmospheric fine particulate matter (PM2.5) can harm various systems in the human body. Due to limitations in the current understanding of epidemiology and toxicology, the disease types and pathogenic mechanisms induced by PM2.5 in various human systems remain unclear. In this study, the disease types induced by PM2.5 in the respiratory, circulatory, endocrine, and female and male urogenital systems have been investigated and the pathogenic mechanisms identified at molecular level. The results reveal that PM2.5 is highly likely to induce pulmonary emphysema, reperfusion injury, malignant thyroid neoplasm, ovarian endometriosis, and nephritis in each of the above systems respectively. The most important co-existing gene, cellular component, biological process, molecular function, and pathway in the five systems targeted by PM2.5 are Fos proto-oncogene (FOS), extracellular matrix, urogenital system development, extracellular matrix structural constituent conferring tensile strength, and ferroptosis respectively. Differentially expressed genes that are significantly and uniquely targeted by PM2.5 in each system are BTG2 (respiratory), BIRC5 (circulatory), NFE2L2 (endocrine), TBK1 (female urogenital) and STAT1 (male urogenital). Important disease-related cellular components, biological processes, and molecular functions are specifically induced by PM2.5. For example, response to wounding, blood vessel morphogenesis, body morphogenesis, negative regulation of response to endoplasmic reticulum stress, and response to type I interferon are the top uniquely existing biological processes in each system respectively. PM2.5 mainly acts on key disease-related pathways such as the PD-L1 expression and PD-1 checkpoint pathway in cancer (respiratory), cell cycle (circulatory), apoptosis (endocrine), antigen processing and presentation (female urogenital), and neuroactive ligand-receptor interaction (male urogenital). This study provides a novel analysis strategy for elucidating PM2.5-related disease types and is an important supplement to epidemiological investigation. It clarifies the risks of PM2.5 exposure, elucidates the pathogenic mechanisms, and provides scientific support for promoting the precise prevention and treatment of PM2.5-related diseases.
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Affiliation(s)
- Shumin Zhang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - Xiaomeng Li
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China; Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; Department of Laboratory Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - Liru Zhang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - Zhengliang Zhang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China; School of Public Health, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - Xuan Li
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China; School of Public Health, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - Yan Xing
- Department of Laboratory Medicine, North Sichuan Medical College, Nanchong 637000, Sichuan, China
| | - John C Wenger
- School of Chemistry and Environmental Research Institute, University College Cork, Cork, Ireland
| | - Xin Long
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Zhier Bao
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Xin Qi
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Yan Han
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - André S H Prévôt
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institut, Villigen, PSI 5232, Switzerland
| | - Junji Cao
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yang Chen
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.
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Han C, Cheng C, Liu Y, Fang Q, Li C, Cui F, Li X. Enhancing the health benefits of air quality improvement: a comparative study across diverse scenarios. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:44244-44253. [PMID: 38937357 DOI: 10.1007/s11356-024-33919-1] [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: 02/15/2024] [Accepted: 06/03/2024] [Indexed: 06/29/2024]
Abstract
In many studies, linear methods were used to calculate health benefits of air quality improvement, but the relationship between air pollutants and diseases may be complex and nonlinear. In addition, previous studies using reference number as average number of diseases may overestimate the health benefits. Therefore, the nonlinear model estimation and resetting of the reference number were very important. Hospital admission data for coronary heart disease (CHD), meteorological data, and air pollutant data of Zibo City from 2015 to 2019 were collected. The generalized additive model (GAM) was used to explore the association between air pollutants and hospital admission for CHD, and to evaluate the effects on health benefits under different reference number settings. A total of 21,105 hospitalized cases for CHD were reported in Zibo during the study period. The results of the GAM showed there was a log-linear exposure-response relationship between O3 and hospital admissions for CHD, with RR (relative risk) of 1.0143 (95% CI: 1.0047 ~ 1.0239). There were log-nonlinear exposure-response relationships between PM10, PM2.5, SO2, and hospital admissions for CHD. With the increase of pollutants concentrations, the risk for hospital admission showed a trend of increasing first and then decreasing. Compared with the average hospital admissions as the reference number, health benefits calculated by hospital admissions predicted by the GAM model yielded lower. Using the World Health Organization air quality guidelines as reference, attributable fractions of O3, PM10, and PM2.5 were 1.97% (95% CI: 0.63 ~ 3.40%), 11.82% (95% CI: 8.60 ~ 15.24%), and 11.82% (95% CI: 8.79 ~ 15.04%), respectively. When quantifying health benefits brought by improving air quality, corresponding calculation methods should first be determined according to the exposure-response relationships between air pollutants and outcomes. Then, applying the average hospital admissions as reference number may overestimate health benefits resulting from improved air quality.
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Affiliation(s)
- Chuang Han
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Chuanlong Cheng
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Ying Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Qidi Fang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Chunyu Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Feng Cui
- Zibo Center for Disease Control and Prevention, Zibo, Shandong, China
| | - Xiujun Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China.
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Huang SP, Su CC, Lin CY, Nethery R, Josey K, Bates B, Robinson D, Gandhi P, Rua M, Parthasarathi A, Setoguchi S, Kao Yang YH. Exposure-Response to High PM 2.5 Levels for Cardiovascular Events in High-risk Older Adults in Taiwan. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.08.24306967. [PMID: 38766145 PMCID: PMC11100932 DOI: 10.1101/2024.05.08.24306967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Background Multiple studies from countries with relatively lower PM 2.5 level demonstrated that acute and chronic exposure even at lower than recommended level, e.g., 9 μg/m 3 in the US increased the risk of cardiovascular (CV) events. However, limited studies using individual level data exist from countries with a wider range of PM levels to illustrate shape of the exposure-response curve throughout the range including > 20 μg/m 3 PM 2·5 concentrations. Taiwan with its policies reduced PM 2.5 over time provide opportunities to illustrate the dose response curves and how reductions of PM 2.5 over time correlated with CV events incidence in a nationwide sample. Methods Using data from the 2009-2019 Taiwan National Health Insurance Database linked to nationwide PM2.5 data. We examined the shape and magnitude of the exposure-response curve between seasonal average PM 2·5 level and CV events-related hospitalizations among older adults at high-risk for CV events. We used history-adjusted marginal structural models including potential confounding by individual demographic factors, baseline comorbidities, and health service measures. To quantify the risk below and above 20 μg/m 3 we conducted stratified Cox regression. We also plotted PM 2.5 and CV events from 2009-2019 as well as average temperature as a comparison. Findings Using the PM 2.5 concentration <15 μg/m 3 (Taiwan regulatory standard) as a reference, the seasonal average PM 2.5 concentration (15-23.5μg/m 3 and > 23.5 μg/m 3 ) were associated with hazard ration of 1.13 (95%CI 1.09-1.18) and 1.19 (95%CI 1.14-1.24), 1.07 (95%CI 1.03-1.11) and 1.14 (95%CI 1.10-1.18), 1.22 (95%CI 1.08-1.38) and 1.31 (95%CI 1.16-1.48), 1.04 (95%CI 0.98-1.10) and 1.10 (95%CI 1.04-1.16) respectively for HF, IS/TIA,PE/DVT and MI/ACS. A nonlinear relationship between PM 2·5 and CV events outcomes was observed at PM 2·5 levels above 20 μg/m 3 . Interpretation A nonlinear exposure-response relationship between PM2·5 concentration and the incidence of cardiovascular events exists when PM2.5 is higher than the levels recommended by WHO Air Quality Guidelines. Further lowering PM2·5 levels beyond current regulatory standards may effectively reduce the incidence of cardiovascular events, particularly HF and DVT, and can lead to tangible health benefits in high-risk elderly population.
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Chen H, Wu J, Yang R, Yu H, Shang S, Hu Y. Ambient fine particulate matter is associated with daily outpatient visits for ankylosing spondylitis: A time-series analysis in Beijing, China. Heliyon 2024; 10:e28933. [PMID: 38633636 PMCID: PMC11021888 DOI: 10.1016/j.heliyon.2024.e28933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 03/20/2024] [Accepted: 03/27/2024] [Indexed: 04/19/2024] Open
Abstract
Exposure to ambient fine particulate matter (PM2.5) has a great impact on human body's immune system, but the correlation between PM2.5 and ankylosing spondylitis has not yet been clarified. We extracted 58,600 outpatient visits for ankylosing spondylitis from the Beijing Medical Claim Data for Employees database from 2010 to 2017. The percentage of outpatient visits following PM2.5 concentrations was estimated using generalized additive models with Poisson connections. Increase by 10 μ g/m3, PM2.5 is associated with daily outpatient visits for ankylosing spondylitis. In this test, the average concentration of PM2.5 was 86.8 ± 74.3 μ g/m3. For every 10 μg/m3 increase in PM2.5 concentration, there was a 0.34% (95% CI, 0.26-0.42%) increase in the risk of patients who visited the doctor on the same day. Females and younger patients were most susceptible to the impact of PM2.5 exposure (P<0.05). This study revealed the relationship between exposure to PM2.5 and ankylosing spondylitis, and future research can further confirm this finding and explore the potential mechanisms.
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Affiliation(s)
- Hongbo Chen
- Peking University Third Hospital, Beijing, China
| | - Junhui Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- School of Nursing, Peking University, Beijing, China
| | - Ruotong Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Huan Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Shaomei Shang
- School of Nursing, Peking University, Beijing, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Medical Informatics Center, Peking University, Beijing, China
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Baharane V, Shatalov AB. Assessment of the health impacts of air pollution exposure in East African countries. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:413. [PMID: 38565772 DOI: 10.1007/s10661-024-12588-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 03/26/2024] [Indexed: 04/04/2024]
Abstract
The health effects of air pollution remain a public concern worldwide. Using data from the Global Burden of Disease 2019 report, we statistically analyzed total mortality, disability-adjusted life years (DALY), and years of life lost (YLL) attributable to air pollution in eight East African countries between 1990 and 2019. We acquired ambient ozone (O3), PM2.5 concentrations and household air pollution (HAP) from the solid fuel from the State of Global Air report. The multilinear regression model was used to evaluate the predictability of YLLs by the air pollutants. We estimated the ratio rate for each health burden attributable to air pollution to compare the country's efforts in the reduction of air pollution health burden. This study found that the total number of deaths attributable to air pollution decreased by 14.26% for 30 years. The drop came from the reduction of 43.09% in mortality related to Lower Respiratory tract Infection (LRI). However, only five out of eight countries managed to decrease the total number of deaths attributable to air pollution with the highest decrease observed in Ethiopia (40.90%) and the highest increase in Somalia (67.49%). The linear regression model showed that HAP is the pollutant of the most concern in the region, with a 1% increase in HAP resulting in a 31.06% increase in regional YLL (R2 = 0.93; p < 0.05). With the increasing ground-level ozone, accompanied by the lack of adequate measures to reduce particulate pollutants, the health burdens attributable to air pollution are still a threat in the region.
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Affiliation(s)
- Valérien Baharane
- Institute of Ecology, Peoples' Friendship University of Russia Named After Patrice Lumumba, 117198, Moscow, Russia.
- Department of Physics, College of Science and Technology, University of Rwanda, KN7 Ave, Kigali, Rwanda.
| | - Andrey Borisovich Shatalov
- Department of Environmental Safety and Product Quality Management of the Institute of Ecology, Peoples' Friendship University of Russia Named After Patrice Lumumba, 117198, Moscow, Russia
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Zgłobicki W, Baran-Zgłobicka B. Air pollution in major Polish cities in the period 2005-2021: Intensity, effects and attempts to reduce it. ENVIRONMENTAL RESEARCH 2024; 240:117497. [PMID: 37914007 DOI: 10.1016/j.envres.2023.117497] [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: 09/13/2023] [Revised: 10/22/2023] [Accepted: 10/23/2023] [Indexed: 11/03/2023]
Abstract
Air quality in Poland is among the lowest in Europe due to high emissions of harmful substances. This causes the development of diseases and leads to a high number of premature deaths. Particularly high pollution occurs in parts of urban areas. The most serious problem is unregulated emissions from buildings and vehicles. That is why it is so important to take action to improve air quality at the local level. The study assessed changes in the concentrations of NO2, O3, PM10, PM2.5 and benzo(a)pyrene in 11 major Polish cities between 2005 and 2021. In 2021 average levels were: NO2 - 25 μg/m3, O3 - 45 μg/m3, PM10 - 26 μg/m3, PM2.5 -17 μg/m3, benzo(a)pyrene - 2.1 ng/m3. The highest exceedances of WHO standards over the studied period were for PM2.5, followed by NO2 and PM10. The annual average levels fell by 17% for NO2 and by 18% for PM10 between 2005 and 2021, and by 34% for PM2.5 and 27% for benzo(a)pyrene between 2010 and 2021. The most polluted cities are Kraków, Katowice and Łódź. The highest concentrations of pollutants typically occurred in 2006 and 2011, the lowest in 2020. Strategic documents and programmes that formulate objectives for reducing emissions and improving air quality were evaluated. Policy documents enable numerous measures to improve air quality. Plans are not always effectively implemented due to a lack of formal tools and financial resources.
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Affiliation(s)
- Wojciech Zgłobicki
- Institute of Earth and Environmental Sciences, Maria Curie-Skłodowska University, Kraśnicka 2d, 20-718, Poland.
| | - Bogusława Baran-Zgłobicka
- Institute of Socio-Economic Geography and Spatial Management, Maria Curie-Skłodowska University, Kraśnicka 2d, 20-718, Lublin, Poland
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Liu N, Deng Q, Hu P, Chang J, Li Y, Zhang Y, Su Y, Liu J, Long Y. Associations between urban exposome and recurrence risk among survivors of acute myocardial infarction in Beijing, China. ENVIRONMENTAL RESEARCH 2023; 238:117267. [PMID: 37776939 PMCID: PMC7615203 DOI: 10.1016/j.envres.2023.117267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/24/2023] [Accepted: 09/27/2023] [Indexed: 10/02/2023]
Abstract
Few previous studies have investigated the impacts of coexposure to multiple urban environmental factors on the prognosis of acute myocardial infarction (AMI) events. This study aimed to evaluate the associations between the urban exposome and AMI recurrence. We used data from 88,509 AMI patients from a large cohort obtained from the Beijing Cardiovascular Disease Surveillance System between 2013 and 2019. Twenty-six types of urban exposures were assessed within 300-m, 500-m, and 1000-m buffers of patients' home addresses in the baseline and cumulative average levels. We used the Cox proportional hazard model along with the Elastic Net (ENET) algorithm to estimate the hazard ratios (HRs) of recurrent AMI per interquartile range increase in each selected urban exposure. The increased risk of AMI recurrence was significantly associated with lower urban function diversity in the 500-m buffer, longer distance to subway stations and higher PM2.5 for both baseline and cumulative average exposure. The cumulative averages of two urban factors, including the distance to parks, and the density of fruit and vegetable shops in the 1000-m buffer, were also identified as significant factors affecting the risk of AMI recurrence. These findings can help improve the urban design for promoting human cardiovascular health.
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Affiliation(s)
- Ningrui Liu
- School of Architecture, Tsinghua University, Beijing, China
| | - Qiuju Deng
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University; Beijing Institute of Heart, Lung, and Blood Vessel Diseases; National Clinical Research Center of Cardiovascular Diseases, Beijing, China
| | - Piaopiao Hu
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University; Beijing Institute of Heart, Lung, and Blood Vessel Diseases; National Clinical Research Center of Cardiovascular Diseases, Beijing, China
| | - Jie Chang
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University; Beijing Institute of Heart, Lung, and Blood Vessel Diseases; National Clinical Research Center of Cardiovascular Diseases, Beijing, China
| | - Yan Li
- School of Architecture, Tsinghua University, Beijing, China
| | - Yuyang Zhang
- School of Architecture, Tsinghua University, Beijing, China
| | - Yuwei Su
- School of Architecture, Tsinghua University, Beijing, China; School of Urban Design, Wuhan University, Wuhan, China
| | - Jing Liu
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University; Beijing Institute of Heart, Lung, and Blood Vessel Diseases; National Clinical Research Center of Cardiovascular Diseases, Beijing, China.
| | - Ying Long
- School of Architecture, Tsinghua University, Beijing, China; Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing, China.
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Hu P, Chang J, Huang Y, Guo M, Lu F, Long Y, Liu H, Yang X, Qi Y, Sun J, Yang Z, Deng Q, Liu J. Nonoptimum Temperatures Are More Closely Associated With Fatal Myocardial Infarction Than With Nonfatal Events. Can J Cardiol 2023; 39:1974-1983. [PMID: 37924969 PMCID: PMC10715678 DOI: 10.1016/j.cjca.2023.08.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 08/10/2023] [Accepted: 08/26/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Ambient temperatures trigger hospitalisation, mortality, and emergency department visits for myocardial infarction (MI). However, nonoptimum temperature-related risks of fatal and nonfatal MI have not yet been compared. METHODS From 2007 to 2019, 416,894 MI events (233,071 fatal and 183,823 nonfatal) were identified in Beijing, China. A time-series analysis with a distributed-lag nonlinear model was used to compare the relative and population-attributable risks of fatal and nonfatal MI associated with nonoptimum temperatures. RESULTS The reference was the optimum temperature of 24.3°C. For single-lag effects, cold (-5.2°C) and heat (29.6°C) effects had associations that persisted for more days for fatal MI than for nonfatal MI. For cumulative-lag effects over 0 to 21 days, cold effects were higher for fatal MI (relative risk [RR] 1.99, 95% confidence interval [CI] 1.68-2.35) than for nonfatal MI (RR 1.60, 95% CI 1.32-1.94) with a P value for difference in effect sizes of 0.048. In addition, heat effects were higher for fatal MI (RR 1.33, 95% CI 1.24-1.44) than for nonfatal MI (RR 0.99, 95% CI 0.91-1.08) with a P value for difference in effect sizes of 0.002. The attributable fraction of nonoptimum temperatures was higher for fatal MI (25.6%, 95% CI 19.7%-30.6%) than for nonfatal MI (19.1%, 95% CI 12.1%-25.0%). CONCLUSIONS Fatal MI was more closely associated with nonoptimum temperatures than nonfatal MI, as evidenced by single-lag effects that have associations which persisted for more days, higher cumulative-lag effects, and higher attributable risks for fatal MI. Strategies are needed to mitigate the adverse effects of nonoptimum temperatures.
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Affiliation(s)
- Piaopiao Hu
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China; National Clinical Research Center of Cardiovascular Diseases, Beijing, China; Key Laboratory of Remodelling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jie Chang
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China; National Clinical Research Center of Cardiovascular Diseases, Beijing, China; Key Laboratory of Remodelling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yulin Huang
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China; National Clinical Research Center of Cardiovascular Diseases, Beijing, China; Key Laboratory of Remodelling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Moning Guo
- Beijing Municipal Health Big Data and Policy Research Center, Beijing, China; Beijing Institute of Hospital Management, Beijing, China
| | - Feng Lu
- Beijing Municipal Health Big Data and Policy Research Center, Beijing, China; Beijing Institute of Hospital Management, Beijing, China
| | - Ying Long
- School of Architecture, Tsinghua University, Beijing, China
| | - Huan Liu
- State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, School of Environment, Tsinghua University, Beijing, China
| | - Xudong Yang
- Departments of Building Science and Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Yue Qi
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China; National Clinical Research Center of Cardiovascular Diseases, Beijing, China; Key Laboratory of Remodelling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jiayi Sun
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China; National Clinical Research Center of Cardiovascular Diseases, Beijing, China; Key Laboratory of Remodelling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhao Yang
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China; National Clinical Research Center of Cardiovascular Diseases, Beijing, China; Key Laboratory of Remodelling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qiuju Deng
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China; National Clinical Research Center of Cardiovascular Diseases, Beijing, China; Key Laboratory of Remodelling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - Jing Liu
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, China; National Clinical Research Center of Cardiovascular Diseases, Beijing, China; Key Laboratory of Remodelling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
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10
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Mallah MA, Soomro T, Ali M, Noreen S, Khatoon N, Kafle A, Feng F, Wang W, Naveed M, Zhang Q. Cigarette smoking and air pollution exposure and their effects on cardiovascular diseases. Front Public Health 2023; 11:967047. [PMID: 38045957 PMCID: PMC10691265 DOI: 10.3389/fpubh.2023.967047] [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: 06/16/2022] [Accepted: 06/26/2023] [Indexed: 12/05/2023] Open
Abstract
Cardiovascular disease (CVD) has no socioeconomic, topographical, or sex limitations as reported by the World Health Organization (WHO). The significant drivers of CVD are cardio-metabolic, behavioral, environmental, and social risk factors. However, some significant risk factors for CVD (e.g., a pitiable diet, tobacco smoking, and a lack of physical activities), have also been linked to an elevated risk of cardiovascular disease. Lifestyles and environmental factors are known key variables in cardiovascular disease. The familiarity with smoke goes along with the contact with the environment: air pollution is considered a source of toxins that contribute to the CVD burden. The incidence of myocardial infarction increases in males and females and may lead to fatal coronary artery disease, as confirmed by epidemiological studies. Lipid modification, inflammation, and vasomotor dysfunction are integral components of atherosclerosis development and advancement. These aspects are essential for the identification of atherosclerosis in clinical investigations. This article aims to show the findings on the influence of CVD on the health of individuals and human populations, as well as possible pathology and their involvement in smoking-related cardiovascular diseases. This review also explains lifestyle and environmental factors that are known to contribute to CVD, with indications suggesting an affiliation between cigarette smoking, air pollution, and CVD.
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Affiliation(s)
| | - Tahmina Soomro
- Department of Sociology, Shah Abdul Latif University, Khairpur, Pakistan
| | - Mukhtiar Ali
- Department of Chemical Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Sindh, Pakistan
| | - Sobia Noreen
- Department of Pharmaceutics Technology, Institute of Pharmacy, University of Innsbruck, Insbruck, Austria
| | - Nafeesa Khatoon
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Akriti Kafle
- School of Nursing, Zhengzhou University, Zhengzhou, China
| | - Feifei Feng
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wei Wang
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Muhammad Naveed
- Department of Physiology and Pharmacology, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
| | - Qiao Zhang
- College of Public Health, Zhengzhou University, Zhengzhou, China
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11
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Mo S, Hu J, Yu C, Bao J, Shi Z, Zhou P, Yang Z, Luo S, Yin Z, Zhang Y. Short-term effects of fine particulate matter constituents on myocardial infarction death. J Environ Sci (China) 2023; 133:60-69. [PMID: 37451789 DOI: 10.1016/j.jes.2022.07.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 07/07/2022] [Accepted: 07/11/2022] [Indexed: 07/18/2023]
Abstract
Existing evidence suggested that short-term exposure to fine particulate matter (PM2.5) may increase the risk of death from myocardial infarction (MI), while PM2.5 constituents responsible for this association has not been determined. We collected 12,927 MI deaths from 32 counties in southern China during 2011-2013. County-level exposures of ambient PM2.5 and its 5 constituents (i.e., elemental carbon (EC), organic carbon (OC), sulfate (SO42-), ammonium (NH4+), and nitrate (NO3-)) were aggregated from gridded datasets predicted by Community Multiscale Air Quality Modeling System. We employed a space-time-stratified case-crossover design and conditional logistic regression models to quantify the association of MI mortality with short-term exposure to PM2.5 and its constituents across various lag days. Over the study period, the daily mean PM2.5 mass concentration was 77.8 (standard deviation (SD) = 72.7) µg/m3. We estimated an odds ratio of 1.038 (95% confidence interval (CI): 1.003-1.074), 1.038 (1.013-1.063) and 1.057 (1.023-1.097) for MI mortality associated with per interquartile range (IQR) increase in the 3-day moving-average exposure to PM2.5 (IQR = 76.3 µg/m3), EC (4.1 µg/m3) and OC (9.1 µg/m3), respectively. We did not identify significant association between MI death and exposure to water-soluble ions (SO42-, NH4+ and NO3-). Likelihood ratio tests supported no evident violations of linear assumptions for constituents-MI associations. Subgroup analyses showed stronger associations between MI death and EC/OC exposure in the elderly, males and cold months. Short-term exposure to PM2.5 constituents, particularly those carbonaceous aerosols, was associated with increased risks of MI mortality.
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Affiliation(s)
- Shaocai Mo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Jianlin Hu
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Junzhe Bao
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Zhihao Shi
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Peixuan Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Zhiming Yang
- School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
| | - Siqi Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Zhouxin Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China.
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12
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Fan J. The burden of ischemic heart disease attributable to ambient and household particulate matter pollution, 1990-2019: a global analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:114514-114524. [PMID: 37861827 DOI: 10.1007/s11356-023-30336-8] [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: 06/12/2023] [Accepted: 10/04/2023] [Indexed: 10/21/2023]
Abstract
Elevated risk of ischemic heart disease (IHD) is associated with exposure to fine particulate matter. However, there is limited data on trends and comparisons in the global burden of IHD due to household air pollution from solid fuels (HAP) and ambient particulate matter pollution (APMP), particularly in regions of varying socio-economic levels. Based on the Global Burden of Disease Study 2019 (GBD 2019), we obtained age-standardized mortality rates (ASMR) and age-standardized disability-adjusted life years (ASDR) of IHD due to APMP and HAP from 1990 to 2019. Trends in the burden of IHD attributable to APMP and HAP during the period 1990 to 2019 were calculated by Joinpoint models. We estimated the relationship between ASMR with the socio-demographic indexes (SDI) and the health care accessibility and quality (HAQ) index by the Loess regression model. In 2019, the global burden of IHD ASMR attributed to APMP stabilized, but the most significant increases were observed in low-middle SDI regions. The global IHD ASMR attributed to APMP was 16.60 [95% Uncertainty Interval (UI), 13.61 to 19.44] per 100,000 population, with the highest APMP burden in middle SDI regions. From 1990 to 2019, the global ASMR for HAP-attributable IHD declined. The global ASMR of IHD attributable to HAP in 2019 was 6.30 (95% UI, 4.28 to 8.80) per 100,000 population, with the highest burden observed in the low SDI regions. From 1990 to 2019, the global burden of ASMR and ASDR of IHD attributable to APMP showed stabilization, whereas the HAP burden exhibited a decrease. There are a large burden of APMP particularly in middle SDI countries and a higher burden of HAP in low SDI countries. The burden of IHD due to APMP and HAP in men, the elderly, and populations in low, medium, and low SDI regions should be noticed.
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Affiliation(s)
- Jinsong Fan
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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13
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Hu Y, Tan J, Zhang N, Liu C. Effect of agricultural carbon emissions on farmers' health expenditure of China: evidence from the educational threshold effect. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:102586-102603. [PMID: 37670090 DOI: 10.1007/s11356-023-29559-6] [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: 12/10/2022] [Accepted: 08/24/2023] [Indexed: 09/07/2023]
Abstract
Environmental pollution, especially agricultural carbon emissions (ACE), has led to public health problems to rural areas in China and accompanied by a heavy medical economic burden. However, most studies on carbon dioxide emissions and healthcare expenditures focused on the industrial sector, and the effect of ACE was overlooked. Therefore, studying the effect of ACE on rural residents' healthcare expenditures (NHCE) is not only conducive to accelerating the low-carbon transformation of agriculture but also has important implications for reducing healthcare expenditures. In addition, the effect of ACE on NHCE in different areas might be complex and nonlinear due to differences in years of schooling (EDU) leading to different awareness of environmental protection and health among farmers. Therefore, this paper used the Bayesian quantile regression (BQR) model and the panel threshold model to explore the effect of ACE on NHCE in different areas, based on the panel data of 31 provinces in China from 2007 to 2019. The results showed that ACE and NHCE experienced similar spatial distribution from 2007 to 2019. The BQR estimation results found that ACE had a significant positive effect on NHCE at different quantile levels during the sample period, public health concern, and thereby increasing the medical and economic burden of rural households. Meanwhile, ACE had a positive effect on NHCE with a significant single threshold effect from EDU. Specifically, farmers gradually realize the harm of environmental pollution to health with the continuous improvement of education level, and then ACE aggravated the improvement of NHCE after exceeding the threshold. EDU was more essential for farmers in contiguous poverty (CP) areas than in relatively developed (RD) areas and played an important role between ACE and NHCE. Furthermore, demographic structure, economic development, and public services were also positive driving factors for NHCE. The results of analysis provide a valuable reference for understanding the factors influencing NHCE and enable formulation of ACE emission reduction policies according to local conditions.
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Affiliation(s)
- Yuling Hu
- School of Economics, Lanzhou University, Lanzhou, 730000, China.
| | - Junyin Tan
- School of Economics, Lanzhou University, Lanzhou, 730000, China
| | - Na Zhang
- Research Center for Economy of Upper Reaches of the Yangtze River, Chongqing Technology and Business University, Chongqing, 400067, China
| | - Chengjie Liu
- Research Center for Economy of Upper Reaches of the Yangtze River, Chongqing Technology and Business University, Chongqing, 400067, China
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14
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Chen D, Sun X, Cheke RA. Inferring a Causal Relationship between Environmental Factors and Respiratory Infections Using Convergent Cross-Mapping. ENTROPY (BASEL, SWITZERLAND) 2023; 25:e25050807. [PMID: 37238562 DOI: 10.3390/e25050807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/12/2023] [Accepted: 05/13/2023] [Indexed: 05/28/2023]
Abstract
The incidence of respiratory infections in the population is related to many factors, among which environmental factors such as air quality, temperature, and humidity have attracted much attention. In particular, air pollution has caused widespread discomfort and concern in developing countries. Although the correlation between respiratory infections and air pollution is well known, establishing causality between them remains elusive. In this study, by conducting theoretical analysis, we updated the procedure of performing the extended convergent cross-mapping (CCM, a method of causal inference) to infer the causality between periodic variables. Consistently, we validated this new procedure on the synthetic data generated by a mathematical model. For real data in Shaanxi province of China in the period of 1 January 2010 to 15 November 2016, we first confirmed that the refined method is applicable by investigating the periodicity of influenza-like illness cases, an air quality index, temperature, and humidity through wavelet analysis. We next illustrated that air quality (quantified by AQI), temperature, and humidity affect the daily influenza-like illness cases, and, in particular, the respiratory infection cases increased progressively with increased AQI with a time delay of 11 days.
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Affiliation(s)
- Daipeng Chen
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China
- Mathematical Institute, Leiden University, 2333 CA Leiden, The Netherlands
| | - Xiaodan Sun
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China
| | - Robert A Cheke
- Natural Resources Institute, University of Greenwich at Medway, Central Avenue, Chatham Maritime, Chatham ME4 4TB, Kent, UK
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15
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Zhang Y, Deng Q, Guo M, Li Y, Lu F, Chen J, Sun J, Chang J, Hu P, Liu N, Liu J, Long Y. Using street view imagery to examine the association between urban neighborhood disorder and the long-term recurrence risk of patients discharged with acute myocardial infarction in central Beijing, China. CITIES (LONDON, ENGLAND) 2023; 138:104366. [PMID: 37250183 PMCID: PMC7614582 DOI: 10.1016/j.cities.2023.104366] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Background To examine the association between urban neighborhood disorder and the recurrence risk of patients with acute myocardial infarction (AMI) in central Beijing, China. Methods Recurrent AMI was identified by the Beijing Monitoring System for Cardiovascular Diseases through the end of 2019 for patients discharged with AMI between 2007 and 2017. Cox proportional hazards models were performed to estimate associations between neighborhood disorder and AMI recurrence. Results Of 66,238 AMI patients, 11,872 had a recurrent event, and 3117 died from AMI during a median followup of 5.92 years. After covariate adjustment, AMI patients living in the high tertile of neighborhood disorder had a higher recurrence risk (hazard ratio [HR] 1.08, 95 % confidence interval [CI], 1.03-1.14) compared with those in the low tertile. A stronger association was noted for fatal recurrent AMI (HR 1.21, 95 % CI 1.10-1.34). The association was mainly observed in females (HR 1.04, 95 % CI: 1.02 to 1.06). Conclusions Serious neighborhood disorder may contribute to higher recurrence risk, particularly fatal recurrence, among AMI patients. Policies to eliminate neighborhood disorders may play an important role in the secondary prevention of cardiovascular disease.
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Affiliation(s)
- Yuyang Zhang
- School of Architecture, Tsinghua University, Beijing 100084, China
| | - Qiuju Deng
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Moning Guo
- Beijing Municipal Health Commission Information Center (Beijing Municipal Health Commission Policy Research Center), Beijing, China
| | - Yan Li
- School of Architecture, Tsinghua University, Beijing 100084, China
| | - Feng Lu
- Beijing Municipal Health Commission Information Center (Beijing Municipal Health Commission Policy Research Center), Beijing, China
| | - Jingjia Chen
- School of Architecture, Tsinghua University, Beijing 100084, China
| | - Jiayi Sun
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Jie Chang
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Piaopiao Hu
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Ningrui Liu
- School of Architecture, Tsinghua University, Beijing 100084, China
| | - Jing Liu
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Ying Long
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, 100084, China
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16
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Zhang L, Zhang WS, Meng QF, Hu YC, Schmidhalter U, Zhong CH, Zou GY, Chen XP. Optimizing Agronomic, Environmental, Health and Economic Performances in Summer Maize Production through Fertilizer Nitrogen Management Strategies. PLANTS (BASEL, SWITZERLAND) 2023; 12:1490. [PMID: 37050116 PMCID: PMC10097194 DOI: 10.3390/plants12071490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/14/2023] [Accepted: 03/18/2023] [Indexed: 06/19/2023]
Abstract
Although nitrogen (N) fertilizer application plays an essential role in improving crop productivity, an inappropriate management can result in negative impacts on environment and human health. To break this dilemma, a 12-year field experiment (2008-2019) with five N application rates was conducted on the North China Plain (NCP) to evaluate the integrated impacts of optimizing N management (Opt. N, 160 kg N ha-1 on average) on agronomic, environmental, health, and economic performances of summer maize production. Over the 12-year study, the Opt. N treatment achieved the maximal average grain yield (10.6 Mg ha-1) and grain protein yield (793 kg ha-1) among five N treatments. The life cycle assessment methodology was applied to determine the negative impacts on environmental and human health, and both of them increased with the N rate. Compared with the farmers' conventional N rate (250 kg N ha-1), the Opt. N treatment reduced acidification, eutrophication, global warming, and energy depletion potentials by 29%, 42%, 35%, and 18%, respectively, and reduced the health impact by 32% per Mg of grain yield or grain protein yield produced. Both the Opt. N and Opt. N*50-70% treatments resulted in high private profitability (2038 USD ha-1), ecosystem economic benefit (1811 USD ha-1), and integrated compensation benefit (17,548 USD ha-1). This study demonstrates the potential benefits of long-term optimizing of N management to maintain high maize yields and grain quality, to reduce various environmental impacts and health impacts, and to enhance economic benefits. These benefits can be further enhanced when Opt. N was combined with advanced agronomic management practices. The results also suggest that reducing the optimal N rate from 160 to 145 kg N ha-1 is achievable to further reduce the negative impacts while maintaining high crop productivity. In conclusion, optimizing the N management is essential to promote sustainable summer maize production on the NCP.
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Affiliation(s)
- Ling Zhang
- College of Resources and Environment, Academy of Agricultural Science, Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, Southwest University, Chongqing 400716, China; (L.Z.); (W.-S.Z.)
- Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;
- Department of Plant Sciences, Chair of Plant Nutrition, Technical University of Munich, 85354 Freising, Germany; (Y.-C.H.); (U.S.)
| | - Wu-Shuai Zhang
- College of Resources and Environment, Academy of Agricultural Science, Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, Southwest University, Chongqing 400716, China; (L.Z.); (W.-S.Z.)
| | - Qing-Feng Meng
- College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China;
| | - Yun-Cai Hu
- Department of Plant Sciences, Chair of Plant Nutrition, Technical University of Munich, 85354 Freising, Germany; (Y.-C.H.); (U.S.)
| | - Urs Schmidhalter
- Department of Plant Sciences, Chair of Plant Nutrition, Technical University of Munich, 85354 Freising, Germany; (Y.-C.H.); (U.S.)
| | - Cheng-Hu Zhong
- Moith Agricultural Technology Co., Ltd., Chizhou 242800, China;
| | - Guo-Yuan Zou
- Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;
| | - Xin-Ping Chen
- College of Resources and Environment, Academy of Agricultural Science, Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, Southwest University, Chongqing 400716, China; (L.Z.); (W.-S.Z.)
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17
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Psistaki K, Achilleos S, Middleton N, Paschalidou AK. Exploring the impact of particulate matter on mortality in coastal Mediterranean environments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 865:161147. [PMID: 36587685 DOI: 10.1016/j.scitotenv.2022.161147] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 12/19/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
Air pollution is one of the most important problems the world is facing nowadays, adversely affecting public health and causing millions of deaths every year. Particulate matter is a criteria pollutant that has been linked to increased morbidity, as well as all-cause and cause-specific mortality. However, this association remains under-investigated in smaller-size cities in the Eastern Mediterranean, which are also frequently affected by heat waves and dust storms. This study explores the impact of particulate matter with an aerodynamic diameter ≤ 10 μm (PM10) and ≤ 2.5 μm (PM2.5) on mortality (all-cause, cardiovascular, respiratory) in two coastal cities in the Eastern Mediterranean; Thessaloniki, Greece and Limassol, Cyprus. Generalized additive Poisson models were used to explore overall and gender-specific associations, controlling for long- and short-term patterns, day of week and the effect of weather variables. Moreover, the effect of different lags, season, co-pollutants and dust storms on primary associations was investigated. A 10 μg/m3 increase in PM2.5 resulted in 1.10 % (95 % CI: -0.13, 2.34) increase in cardiovascular mortality in Thessaloniki, and in 3.07 % (95 % CI: -0.90, 7.20) increase in all-cause mortality in Limassol on the same day. Additionally, significant positive associations were observed between PM2.5 as well as PM10 and mortality at different lags up to seven days. Interestingly, an association with dust storms was observed only in Thessaloniki, having a protective effect, while the gender-specific analysis revealed significant associations only for the males in both cities. The outcome of this study highlights the need of city- or county-specific public health interventions to address the impact of climate, population lifestyle behaviour and other socioeconomic factors that affect the exposure to air pollution and other synergistic effects that alter the effect of PM on population health.
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Affiliation(s)
- K Psistaki
- Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Orestiada 68200, Greece
| | - S Achilleos
- Department of Primary Care and Population Health, University of Nicosia Medical School, Nicosia, Cyprus
| | - N Middleton
- Department of Nursing, School of Health Sciences, Cyprus University of Technology, Limassol, Cyprus
| | - A K Paschalidou
- Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Orestiada 68200, Greece.
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18
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Chang J, Deng Q, Hu P, Yang Z, Guo M, Lu F, Su Y, Sun J, Qi Y, Long Y, Liu J. Driving Time to the Nearest Percutaneous Coronary Intervention-Capable Hospital and the Risk of Case Fatality in Patients with Acute Myocardial Infarction in Beijing. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3166. [PMID: 36833858 PMCID: PMC9961430 DOI: 10.3390/ijerph20043166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/24/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Timely arrival at a hospital capable of percutaneous coronary intervention (PCI) is critical in treating acute myocardial infarction (AMI). We examined the association between driving time to the nearest PCI-capable hospital and case fatality among AMI patients. A total of 142,474 AMI events during 2013-2019 from the Beijing Cardiovascular Disease Surveillance System were included in this cross-sectional study. The driving time from the residential address to the nearest PCI-capable hospital was calculated. Logistic regression was used to estimate the risk of AMI death associated with driving time. In 2019, 54.5% of patients lived within a 15-min drive to a PCI-capable hospital, with a higher proportion in urban than peri-urban areas (71.2% vs. 31.8%, p < 0.001). Compared with patients who had driving times ≤15 min, the adjusted odds ratios (95% CI, p value) for AMI fatality risk associated with driving times 16-30, 31-45, and >45 min were 1.068 (95% CI 1.033-1.104, p < 0.001), 1.189 (95% CI 1.127-1.255, p < 0.001), and 1.436 (95% CI 1.334-1.544, p < 0.001), respectively. Despite the high accessibility to PCI-capable hospitals for AMI patients in Beijing, inequality between urban and peri-urban areas exists. A longer driving time is associated with an elevated AMI fatality risk. These findings may help guide the allocation of health resources.
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Affiliation(s)
- Jie Chang
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Qiuju Deng
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Piaopiao Hu
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Zhao Yang
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Moning Guo
- Beijing Municipal Health Big Data and Policy Research Center, Beijing Institute of Hospital Management, Beijing 100034, China
| | - Feng Lu
- Beijing Municipal Health Big Data and Policy Research Center, Beijing Institute of Hospital Management, Beijing 100034, China
| | - Yuwei Su
- School of Urban Design, Wuhan University, Wuhan 430072, China
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing 100084, China
| | - Jiayi Sun
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Yue Qi
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Ying Long
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing 100084, China
| | - Jing Liu
- Center for Clinical and Epidemiologic Research, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center of Cardiovascular Diseases, Beijing 100029, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
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19
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Chen H, Wu J, Wang M, Wang S, Wang J, Yu H, Hu Y, Shang S. Association between ambient fine particulate matter and adult outpatient visits for rheumatoid arthritis in Beijing, China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:149-156. [PMID: 36399197 DOI: 10.1007/s00484-022-02393-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 09/23/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
The association between fine particulate matter (PM2.5) and rheumatoid arthritis (RA) is currently unclear, especially in Beijing, a city with severe air pollution. Our study aimed to explore the relationship between short-term outdoor exposure to PM2.5 and RA outpatient visits using a time-series analysis in Beijing. We used the Beijing's Medical Claims for Employees database to identify patients with RA in 2010-2012. A generalized additive model with a Poisson link was used to estimate the percentage change in RA outpatient visits after the PM2.5 concentration increased by 10 μg/m3. From January 1, 2010, to June 30, 2012, a total of 541,061 RA outpatient visits were identified. During the study period, the average daily (standard deviation) concentration of PM2.5 was 99.5 (75.3) µg/m3. A 10 µg/m3 increase in PM2.5 concentration was correlated with a 0.21% (95% CI, 0.18-0.23%) increase in outpatient visits for RA on the same day. A significant association for the cumulative effect of PM2.5 was found, and the largest significant association was observed for a lag of 0-3 days (0.26%; 95% CI, 0.23-0.29%). Stratified analyses revealed that females (0.29%, 95% CI: 0.26-0.33%) and 18-65 years old patients (0.29%, 95% CI: 0.25-0.32%) were most susceptible to the effects of PM2.5 exposure. The current findings showed that short-term exposure to PM2.5 was followed by an increase in the number of outpatient visits for RA in Beijing. Future studies should investigate the mechanisms underlying this association.
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Affiliation(s)
- Hongbo Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China
- School of Nursing, Peking University, China, No. 38 Xueyuan Road, Beijing, 100191, China
| | - Junhui Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China
- School of Nursing, Peking University, China, No. 38 Xueyuan Road, Beijing, 100191, China
| | - Mengying Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China
| | - Siyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China
| | - Jiating Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China
| | - Huan Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China.
- Medical Informatics Center, Peking University, No. 38 Xueyuan Road, Beijing, 100191, China.
| | - Shaomei Shang
- School of Nursing, Peking University, China, No. 38 Xueyuan Road, Beijing, 100191, China.
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20
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Ji Y, Chen C, Xu G, Song J, Su H, Wang H. Effects of sunshine duration on daily outpatient visits for depression in Suzhou, Anhui Province, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:2075-2085. [PMID: 35927404 DOI: 10.1007/s11356-022-22390-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]
Abstract
Previous epidemiological studies have reported seasonal variation patterns of depression symptoms, which may be influenced by bad weather conditions, such as a lack of sunlight. However, evidence on the acute effects of sunshine duration on outpatient visits for depression is limited, especially in developing countries, and the results are inconsistent. We collected daily outpatient visits for depression from the local mental health centre in Suzhou, Anhui Province, China, during 2017-2019. We defined the 5th and 95th sunshine percentiles as short and long sunshine durations, respectively. A quasi-Poisson generalized linear regression model combined with a distributed lag nonlinear model was used to quantitatively assess the effects of short and long sunshine durations on outpatient visits for depression. Stratified analyses were further performed by gender, age and number of visits to identify vulnerable populations. A total of 26,343 depression cases were collected during the study period. An approximate U-shaped exposure-response association was observed between sunshine duration and depression outpatient visits. The cumulative estimated relative risks (RRs) for short and long sunshine durations at lag 0-21 days were 1.53 [95% confidence intervals (CI): 1.14, 2.06] and 1.13 (95% CI: 0.88, 1.44), respectively. Moreover, a short sunshine duration was associated with a greater disease burden than a long sunshine duration, with attributable fractions (AFs) of 16.64% (95% CI: 7.8%, 23.89%) and 2.24% (95% CI: -2.65%, 5.74%), respectively. Subgroup analysis showed that males, people aged less than 45 years and first-visit cases may be more susceptible to a lack of sunlight. For a long sunshine duration, no statistically significant associations were found in any population groups. Our study found that a short sunshine duration was associated with an increased risk of depression. The government, medical institutions, family members and patients themselves should fully recognize the important role of sunlight and take active measures to prevent depression.
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Affiliation(s)
- Yanhu Ji
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Changhao Chen
- Department of Psychiatry, Suzhou Second People's Hospital, Suzhou, China
| | - Guangxing Xu
- Shantou Center for Disease Control and Prevention, Shantou, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Heng Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China.
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21
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Shang M, Tang M, Xue Y. Neurodevelopmental toxicity induced by airborne particulate matter. J Appl Toxicol 2023; 43:167-185. [PMID: 35995895 DOI: 10.1002/jat.4382] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 08/17/2022] [Accepted: 08/17/2022] [Indexed: 11/08/2022]
Abstract
Airborne particulate matter (PM), the primary component associated with health risks in air pollution, can negatively impact human health. Studies have shown that PM can enter the brain by inhalation, but data on the exact quantity of particles that reach the brain are unknown. Particulate matter exposure can result in neurotoxicity. Exposure to PM poses a greater health risk to infants and children because their nervous systems are not fully developed. This review paper highlights the association between PM and neurodevelopmental toxicity (NDT). Exposure to PM can induce oxidative stress and inflammation, potentially resulting in blood-brain barrier damage and increased susceptibility to development of neurodevelopmental disorders (NDD), such as autism spectrum disorders and attention deficit disorders. In addition, human and animal exposure to PM can induce microglia activation and epigenetic alterations and alter the neurotransmitter levels, which may increase risks for development of NDD. However, the systematic comparisons of the effects of PM on NDD at different ages of exposure are deficient. The elucidation of PM exposure risks and NDT in children during the early developmental stages are of great importance. The synthesis of current research may help to identify markers and mechanisms of PM-induced neurodevelopmental toxicity, allowing for the development of strategies to prevent permanent damage of developing brain.
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Affiliation(s)
- Mengting Shang
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Meng Tang
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Yuying Xue
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
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22
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Vancil A, Strawn JR, Rasnick E, Levine A, Schroeder HK, Specht AM, Turner AL, Ryan PH, Brokamp C. Pediatric anxiety and daily fine particulate matter: A longitudinal study. PSYCHIATRY RESEARCH COMMUNICATIONS 2022; 2:100077. [PMID: 36644031 PMCID: PMC9837744 DOI: 10.1016/j.psycom.2022.100077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Daily variations in ambient fine particulate matter (PM2.5) could contribute to the morbidity of anxiety disorders in children and adolescents, but has not yet been studied longitudinally at a daily level. We tested this association using repeated weekly measures of anxiety symptom severity in a group of 23 adolescents with generalized anxiety disorder. After estimating ambient PM2.5 concentrations using a validated model, we found that increased concentrations were significantly associated with increased anxiety symptom severity and frequency two, three, and four days later. PM2.5 may be a novel, modifiable exposure that could inform population level interventions to decrease psychiatric morbidity.
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Affiliation(s)
- Andrew Vancil
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA
| | - Jeffrey R. Strawn
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA,University of Cincinnati, Anxiety Disorders Research Program, Department of Psychiatry & Behavioral Neuroscience, USA
| | - Erika Rasnick
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA
| | - Amir Levine
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, USA,Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, USA
| | - Heidi K. Schroeder
- University of Cincinnati, Anxiety Disorders Research Program, Department of Psychiatry & Behavioral Neuroscience, USA
| | - Ashley M. Specht
- University of Cincinnati, Anxiety Disorders Research Program, Department of Psychiatry & Behavioral Neuroscience, USA
| | - Ashley L. Turner
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA
| | - Patrick H. Ryan
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA,University of Cincinnati, College of Medicine, Department of Pediatrics, USA
| | - Cole Brokamp
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA,University of Cincinnati, College of Medicine, Department of Pediatrics, USA,Corresponding author. Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45219, USA. (C. Brokamp)
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23
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Zhou W, Ji L, Liu X, Tu D, Shi N, Yangqu W, Chen S, Gao P, Zhu H, Ruan C. AIFM1, negatively regulated by miR-145-5p, aggravates hypoxia-induced cardiomyocyte injury. Biomed J 2022; 45:870-882. [PMID: 34863964 PMCID: PMC9795367 DOI: 10.1016/j.bj.2021.11.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 11/06/2021] [Accepted: 11/25/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Hypoxia-induced apoptosis is linked to the pathogenesis of myocardial infarction. The role of apoptosis-inducing factor mitochondria associated 1 (AIFM1) in cardiomyocyte injury remains unclear. This study was aimed at probing into the role and the underlying regulatory mechanism of AIFM1 in myocardial injury. METHODS H9c2 cardiomyocytes and C57BL/6 mice were used for myocardial hypoxic/ischemic injury and myocardial infarction animal models. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to evaluate the expression levels of AIFM1 mRNA and miR-145-5p. Western blot was used for examining the expression levels of AIFM1, caspase-3, cleaved caspase-3, p-53, and γ-H2AX. Cell viability was examined by cell counting kit-8 (CCK-8) assay and BrdU assay. Interaction between AIFM1 and miR-145-5p was determined by bioinformatics analysis, qRT-PCR, Western blot, and dual-luciferase reporter assay. RESULTS AIFM1 expression was markedly highly elevated, while miR-145-5p expression was significantly down-regulated in the myocardial infarction animal model and H9c2 cells under hypoxia. Augmentation of AIFM1 led to a dramatic decrease of cell viability, accompanied by an increase of the secretion of the inflammatory cytokines IL-1β, TNF-α, IL-6, and the expression of cleaved caspase-3. Furthermore, AIFM1 was identified as a target of miR-145-5p. In addition, miR-145-5p/AIFM1 axis regulated the expression of p53. CONCLUSION AIFM1 may exacerbate myocardial ischemic injury by promoting inflammation and the injury of cardiomyocytes, and its up-regulation may be partly due to the down-regulation of miR-145-5p.
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Affiliation(s)
- Wugang Zhou
- Department of Emergency, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,Department of Intensive Care Unit, Shigatse People's Hospital, Shigatse, Tibet Autonomous Region, China
| | - Lv Ji
- Department of Intensive Care Unit, Shigatse People's Hospital, Shigatse, Tibet Autonomous Region, China
| | - Xuqin Liu
- Department of Intensive Care Unit, Shigatse People's Hospital, Shigatse, Tibet Autonomous Region, China
| | - Dan Tu
- Department of Intensive Care Unit, Shigatse People's Hospital, Shigatse, Tibet Autonomous Region, China
| | - Ningning Shi
- Department of Intensive Care Unit, Shigatse People's Hospital, Shigatse, Tibet Autonomous Region, China
| | - Wangmu Yangqu
- Department of Intensive Care Unit, Shigatse People's Hospital, Shigatse, Tibet Autonomous Region, China
| | - Shi Chen
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery Ministry of Education, School of Pharmaceutical Sciences, Wuhan University, Wuhan, Hubei, China,Brain Center, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, China
| | - Pingjin Gao
- State Key Laboratory of Medical Genomics, Shanghai Key Laboratory of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Department of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Key Laboratory of Stem Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Hong Zhu
- Clinical Medical School, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,Corresponding author. Clinical Medical School, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Room 401, Building 1, Jinzun Rd. 115, Pudong Dist., Shanghai 200125, China.
| | - Chengchao Ruan
- State Key Laboratory of Medical Genomics, Shanghai Key Laboratory of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Department of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Key Laboratory of Stem Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China,Corresponding author. Department of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Ruijin 2nd Rd. 197, Shanghai 200024, China.
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24
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Su Y, Liu Z, Chang J, Deng Q, Zhang Y, Liu J, Long Y. Measuring Accessibility to Healthcare Using Taxi Trajectories Data: A Case Study of Acute Myocardial Infarction Cases in Beijing. Int J Health Policy Manag 2022; 12:6653. [PMID: 36243946 PMCID: PMC10125134 DOI: 10.34172/ijhpm.2022.6653] [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: 07/24/2021] [Accepted: 09/06/2022] [Indexed: 11/09/2022] Open
Abstract
Several methods have been applied to measure healthcare accessibility, ie, the Euclidean distance, the network distance, and the transport time based on speed limits. However, these methods generally produce less accurate estimates than actual measurements. This research proposed a method to estimate historical healthcare accessibility more accurately by using taxi Global Positioning System (GPS) traces. The proposed method's advantages were evaluated vis a case study using acute myocardial infarction (AMI) cases in Beijing in 2008. Comparative analyses of the new measure and three conventionally used measures suggested that the median estimated transport time to the closest hospital with percutaneous coronary intervention (PCI) capability for AMI patients was 5.72 minutes by the taxi GPS trace-based measure, 2.42 minutes by the network distance-based measure, 2.28 minutes by the speed limit-based measure, 1.73 minutes by the Euclidean distance-based measure; and the estimated proportion of patients who lived within 5 minutes of a PCI-capable hospital was 38.17%, 89.20%, 92.52%, 95.05%, respectively. The three conventionally used measures underestimated the travel time cost and overestimated the percentage of patients with timely access to healthcare facilities. In addition, the new measure more accurately identifies the areas with low or high access to healthcare facilities. The taxi GPS trace-based accessibility measure provides a promising start for more accurately estimating accessibility to healthcare facilities, increasing the use of medical records in studying the effects of historical healthcare accessibility on health outcomes, and evaluating how accessibility to healthcare changes over time.
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Affiliation(s)
- Yuwei Su
- School of Architecture, Tsinghua University, Beijing, China
- School of Urban Design, Wuhan University, Wuhan, China
| | - Zhengying Liu
- School of Architecture, Tsinghua University, Beijing, China
| | - Jie Chang
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qiuju Deng
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yuyang Zhang
- School of Architecture, Tsinghua University, Beijing, China
| | - Jing Liu
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Ying Long
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing, China
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25
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Chen Q, Chen Q, Wang Q, Xu R, Liu T, Liu Y, Ding Z, Sun H. Particulate matter and ozone might trigger deaths from chronic ischemic heart disease. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 242:113931. [PMID: 35914398 DOI: 10.1016/j.ecoenv.2022.113931] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/26/2022] [Accepted: 07/27/2022] [Indexed: 06/15/2023]
Abstract
AIMS To study the association between short-term exposure to air pollutants and mortality of Chronic Ischemic Heart Disease (CIHD). METHODS Using a case-crossover design, we investigated 148,443 CIHD deaths from 2015 to 2020 in Jiangsu Province, China. Exposure to six ambient pollutants, including PM10, PM2.5, NO2, CO, SO2, and O3, was assessed by extracting daily concentrations from validated 10 km × 10 km pollutant grids at each subject's residential address. A conditional logistic regression approach was used to explore the exposure-response relationship with adjustment for temperature and relative humidity. We calculated the Population Attributable Fractions (PAFs) and the attributable deaths number of CIHD. RESULTS An increase of 10 μg/m3 in PM10 and PM2.5 exposure was associated with a 1.16% (95% CI: 0.85-1.48%) and 1.80% (1.36-2.24%) increase in CIHD mortality, respectively. A threshold value of 123 µg/m3 was identified for the association between O3 exposure and CIHD mortality. Controlling for PM2.5, each increase of 10 µg/m3 in O3 (>threshold) was statistically significantly associated with a 0.94% (0.19-1.71%) increase in CIHD mortality, however there was no association between NO2, SO2, CO exposure and CIHD mortality. Reducing PM2.5, PM10 and O3 to the WHO air quality guidelines would prevent 6.16% (95% CI: 4.70-7.58%), 4.30% (3.18-5.43%) and 1.29% (0.48-4.20%) of CIHD deaths, respectively. During the warm season, mortality and PAFs of CIHD associated with PM2.5, PM10, and O3 were significantly higher. CONCLUSIONS Short-term exposure to ambient PM2.5, PM10, and O3 might trigger deaths from CIHD. These findings indicate that the premature deaths of CIHD patients can be alleviated by reducing exposure to polluted air.
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Affiliation(s)
- Qing Chen
- Department of Planning and Finance, First People's Hospital of Lianyungang City 6, Zhenhua East Road, Lianyungang, Jiangsu, 222000, China
| | - Qi Chen
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, Jiangsu, 210009, China
| | - Qingqing Wang
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, Jiangsu, 210009, China
| | - Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 74 Zhongshan Second Road, Guangzhou, Guangdong 510080, China
| | - Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 74 Zhongshan Second Road, Guangzhou, Guangdong 510080, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 74 Zhongshan Second Road, Guangzhou, Guangdong 510080, China
| | - Zhen Ding
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, Jiangsu, 210009, China
| | - Hong Sun
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, Jiangsu, 210009, China.
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26
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Wang Y, Sun K, Li L, Lei Y, Wu S, Jiang Y, Xi Y, Wang F, Cui Y. Assessing the Public Health Economic Loss from PM 2.5 Pollution in '2 + 26' Cities. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191710647. [PMID: 36078362 PMCID: PMC9518564 DOI: 10.3390/ijerph191710647] [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: 06/28/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 05/16/2023]
Abstract
Due to the fast growth of China's economy, urban atmospheric pollution has become a serious problem affecting the public's physical and mental health. The '2 + 26' cities, as the Jing-Jin-Ji atmospheric pollution transmission channel, has attracted widespread concern. There were several previous studies on the economic loss of public health caused by PM2.5 pollution in '2 + 26' cities. To assess the economic loss caused by PM2.5 on human health in '2 + 26' cities, this paper used the exposure-response model, the health effect loss model and willingness to pay method to obtain the economic loss from PM2.5 pollution with the latest available data in 2020. It was concluded that, in 2020, the economic loss of '2 + 26' cities from PM2.5 was spatially distributed low in the east and high in the west. In addition, it was larger in the southern and northern part, which was smaller in the middle of the region. Based on the conclusions, policy recommendations were put forward.
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Affiliation(s)
- Yifeng Wang
- School of Economics and Management, China University of Geosciences, Beijing 100083, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China
| | - Ken Sun
- College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
| | - Li Li
- School of Economics and Management, China University of Geosciences, Beijing 100083, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China
- State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 100011, China
- Correspondence:
| | - Yalin Lei
- School of Economics and Management, China University of Geosciences, Beijing 100083, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China
| | - Sanmang Wu
- School of Economics and Management, China University of Geosciences, Beijing 100083, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China
| | - Yong Jiang
- School of Economics and Management, China University of Geosciences, Beijing 100083, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China
| | - Yanling Xi
- Tianjin Academy of Social Sciences, Tianjin 300191, China
| | - Fang Wang
- School of Economics and Management, China University of Geosciences, Beijing 100083, China
- Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 100083, China
| | - Yanfang Cui
- School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
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27
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Basith S, Manavalan B, Shin TH, Park CB, Lee WS, Kim J, Lee G. The Impact of Fine Particulate Matter 2.5 on the Cardiovascular System: A Review of the Invisible Killer. NANOMATERIALS 2022; 12:nano12152656. [PMID: 35957086 PMCID: PMC9370264 DOI: 10.3390/nano12152656] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/29/2022] [Accepted: 07/30/2022] [Indexed: 12/26/2022]
Abstract
Air pollution exerts several deleterious effects on the cardiovascular system, with cardiovascular disease (CVD) accounting for 80% of all premature deaths caused by air pollution. Short-term exposure to particulate matter 2.5 (PM2.5) leads to acute CVD-associated deaths and nonfatal events, whereas long-term exposure increases CVD-associated risk of death and reduces longevity. Here, we summarize published data illustrating how PM2.5 may impact the cardiovascular system to provide information on the mechanisms by which it may contribute to CVDs. We provide an overview of PM2.5, its associated health risks, global statistics, mechanistic underpinnings related to mitochondria, and hazardous biological effects. We elaborate on the association between PM2.5 exposure and CVD development and examine preventive PM2.5 exposure measures and future strategies for combating PM2.5-related adverse health effects. The insights gained can provide critical guidelines for preventing pollution-related CVDs through governmental, societal, and personal measures, thereby benefitting humanity and slowing climate change.
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Affiliation(s)
- Shaherin Basith
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
| | - Balachandran Manavalan
- Computational Biology and Bioinformatics Laboratory, Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon 16419, Korea;
| | - Tae Hwan Shin
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
| | - Chan Bae Park
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
| | - Wang-Soo Lee
- Department of Internal Medicine, Division of Cardiology, College of Medicine, Chung-Ang University, Seoul 06973, Korea;
| | - Jaetaek Kim
- Department of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Chung-Ang University, Seoul 06973, Korea
- Correspondence: (J.K.); (G.L.)
| | - Gwang Lee
- Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea; (S.B.); (T.H.S.); (C.B.P.)
- Department of Molecular Science and Technology, Ajou University, Suwon 16499, Korea
- Correspondence: (J.K.); (G.L.)
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PM<sub>2.5</sub> Air Pollution and Cardiovascular Disease-Associated Disability among Middle-Aged and Older Adults. Glob Heart 2022; 17:41. [PMID: 35837365 PMCID: PMC9205374 DOI: 10.5334/gh.1118] [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: 11/29/2022] [Accepted: 04/05/2022] [Indexed: 11/20/2022] Open
Abstract
Background: Increasing evidence regards the role of ambient particles on morbidity and mortality caused by cardiovascular diseases (CVDs). However, there was no evidence about the association between ambient particles and CVD-associated disability. This study used large national representative data to investigate the relationship between long-term exposure to an aerodynamic diameter less than or equal to 2.5 µm (PM2.5) and CVD-associated disability among Chinese adults aged 45 years old and above and estimated the burden of CVD-associated disability attributed to PM2.5. Methods: Using data from the Second National Sample Survey on Disability, this study used a combination of self-reports or family members’ reports and on-site medical diagnosis by experienced specialists to ascertain CVD-associated disability in 852,742 adults aged 45 years old and above. Logistic regression models and spline regression models were used to examine the association between PM2.5 long-term exposure and CVD-associated disability, and the population attributable risk was calculated to assess the burden of CVD-associated disability contributed to PM2.5. Results: Every increase of 10 μg/m3 in PM2.5 was associated with an 8% (OR = 1.08, 95% CI: 1.05, 1.10) increase the odds of CVD-associated disability. Stratified analyses by demographic factors suggested that this association was robust. There were 1.05 (0.74,1.35) million -3.53 (3.29,3.75) million CVD-associated disabilities attributed to high PM2.5 concentration exposure (≥35 µg/m3) among middle-aged and older adults in 2006. A reduction in PM2.5 concentrations to 35 µg/m3 corresponded to a decrease of 13.59% (9.55%, 17.46%)–23.98% (17.17%, 30.25%) in CVD-associated disability by age group, respectively, and this magnitude increased in areas with a high prevalence of CVD-related disability. Conclusions: This study suggests that reducing PM2.5 concentrations may contribute to preventing CVD-associated disability and decreasing air pollution-related medical expenditures and rehabilitation fees.
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Sang S, Chu C, Zhang T, Chen H, Yang X. The global burden of disease attributable to ambient fine particulate matter in 204 countries and territories, 1990-2019: A systematic analysis of the Global Burden of Disease Study 2019. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 238:113588. [PMID: 35525115 DOI: 10.1016/j.ecoenv.2022.113588] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 04/01/2022] [Accepted: 04/28/2022] [Indexed: 06/14/2023]
Abstract
Understanding the spatio-temporal patterns of the disease burden attributable to ambient PM2.5 across the world is essential for the prevention of related diseases, as well as ambient PM2.5 control. Following the framework and methodology of the Global Burden of Disease Study (GBD) in 2019, the global, regional, and national data on ambient PM2.5-attributable death and disability-adjusted life years (DALYs), and the age-standardized rates of mortality (ASMR) and disability-adjusted life years (ASDR) were summarized based on age, gender, year, location and specific diseases. We calculated the average annual percentage change (AAPC) to depict the secular trends of ASMR and ASDR from 1990 to 2019. In 2019, the global ambient PM2.5-related deaths and DALYs were 4,140,970 and 118.2 million, respectively, with 1,702,150 deaths and 47.5 million DALYs for females and 2,438,820 deaths and 70.7 million DALYs for male. In the 13 level-three causes, ischemic heart disease, stroke, chronic obstructive and pulmonary disease (COPD) were the leading three causes of deaths and DALYs attributable to ambient PM2.5. The number of global deaths and DALYs attributable to ambient PM2.5 has increased by 102.3% and 67.7% from 1990 to 2019, respectively. However, ASMR and ASDR showed little change. In the 13 level-three diseases, ischemic heart disease, stroke, COPD, diabetes mellitus, and lung cancer were the top five contributors to the increase of global deaths or DALYs, among which diabetes mellitus had the fastest increase of ASMR and ASDR, with AAPC of 1.5 (95% CI: 1.43, 1.58) and 2.21 (95% CI: 2.15, 2.27), respectively. The population attributable fractions (PAF) of causes in ASMR or ASDR varied significantly across regions, of which PAF of COPD, stroke and lung cancer were the top three. Regarding the GBD region, high PAF mainly occurred in North Africa and Middle East, South Asia, and East Asia. The age-specific PAFs of ischemic heart disease and stroke deaths and DALYs due to ambient PM2.5 were negatively correlated with age. ASMR and ASDR of overall PM2.5 related-burden showed an inverted "V/U" relationship with the socio-demographic index (SDI). The AAPC of ASMR and ASDR of the overall causes showed a strong negative correlation with SDI in 2019, especially at the SDI larger than 0.5. The deaths and DALYs attributable to ambient PM2.5 continued to increase under the context of population growth and aging. Decision-makers should consider controlling the PM2.5 emission when developing the economy.
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Affiliation(s)
- Shaowei Sang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China; Clinical Research Center of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Chong Chu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Tongchao Zhang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China; Clinical Research Center of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Hui Chen
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China; Clinical Research Center of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Xiaorong Yang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China; Clinical Research Center of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
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Estimating the Impact of Air Pollution on Healthcare-Seeking Behaviour by Applying a Difference-in-Differences Method to Syndromic Surveillance Data. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127097. [PMID: 35742342 PMCID: PMC9222304 DOI: 10.3390/ijerph19127097] [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: 04/08/2022] [Revised: 06/06/2022] [Accepted: 06/07/2022] [Indexed: 11/16/2022]
Abstract
Syndromic surveillance data were used to estimate the direct impact of air pollution on healthcare-seeking behaviour, between 1 April 2012 and 31 December 2017. A difference-in-differences approach was used to control for spatial and temporal variations that were not due to air pollution and a meta-analysis was conducted to combine estimates from different pollution periods. Significant increases were found in general practitioner (GP) out-of-hours consultations, including a 98% increase (2–386, 95% confidence interval) in acute bronchitis and a 16% (3–30) increase in National Health Service (NHS) 111 calls for eye problems. However, the numbers involved are small; for instance, roughly one extra acute bronchitis consultation in a local authority on a day when air quality is poor. These results provide additional information for healthcare planners on the impacts of localised poor air quality. However, further work is required to identify the separate impact of different pollutants.
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Neo EX, Hasikin K, Mokhtar MI, Lai KW, Azizan MM, Razak SA, Hizaddin HF. Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review. Front Public Health 2022; 10:851553. [PMID: 35664109 PMCID: PMC9160600 DOI: 10.3389/fpubh.2022.851553] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 04/01/2022] [Indexed: 12/12/2022] Open
Abstract
Environmental issues such as environmental pollutions and climate change are the impacts of globalization and become debatable issues among academics and industry key players. One of the environmental issues which is air pollution has been catching attention among industrialists, researchers, and communities around the world. However, it has always neglected until the impacts on human health become worse, and at times, irreversible. Human exposure to air pollutant such as particulate matters, sulfur dioxide, ozone and carbon monoxide contributed to adverse health hazards which result in respiratory diseases, cardiorespiratory diseases, cancers, and worst, can lead to death. This has led to a spike increase of hospitalization and emergency department visits especially at areas with worse pollution cases that seriously impacting human life and health. To address this alarming issue, a predictive model of air pollution is crucial in assessing the impacts of health due to air pollution. It is also critical in predicting the air quality index when assessing the risk contributed by air pollutant exposure. Hence, this systemic review explores the existing studies on anticipating air quality impact to human health using the advancement of Artificial Intelligence (AI). From the extensive review, we highlighted research gaps in this field that are worth to inquire. Our study proposes to develop an AI-based integrated environmental and health impact assessment system using federated learning. This is specifically aims to identify the association of health impact and pollution based on socio-economic activities and predict the Air Quality Index (AQI) for impact assessment. The output of the system will be utilized for hospitals and healthcare services management and planning. The proposed solution is expected to accommodate the needs of the critical and prioritization of sensitive group of publics during pollution seasons. Our finding will bring positive impacts to the society in terms of improved healthcare services quality, environmental and health sustainability. The findings are beneficial to local authorities either in healthcare or environmental monitoring institutions especially in the developing countries.
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Affiliation(s)
- En Xin Neo
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Khairunnisa Hasikin
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
- Center of Image and Signal Processing (CISIP), Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Mohd Istajib Mokhtar
- Department of Science and Technology Studies, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Khin Wee Lai
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Muhammad Mokhzaini Azizan
- Department of Electrical and Electronic Engineering, Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Nilai, Malaysia
| | - Sarah Abdul Razak
- Institute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Hanee Farzana Hizaddin
- Department of Chemical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia
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Zhang Z, Wu L, Cui T, Ahmed RZ, Yu H, Zhang R, Wei Y, Li D, Zheng Y, Chen W, Jin X. Oxygen sensors mediated HIF-1α accumulation and translocation: A pivotal mechanism of fine particles-exacerbated myocardial hypoxia injury. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 300:118937. [PMID: 35114305 DOI: 10.1016/j.envpol.2022.118937] [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: 09/07/2021] [Revised: 01/13/2022] [Accepted: 01/30/2022] [Indexed: 06/14/2023]
Abstract
Epidemiological studies have demonstrated a strong association of ambient fine particulate matter (PM2.5) exposure with the increasing mortality by ischemic heart disease (IHD), but the involved mechanisms remain poorly understood. Herein, we found that the chronic exposure of real ambient PM2.5 led to the upregulation of hypoxia-inducible factor-1 alpha (HIF-1α) protein in the myocardium of mice, accompanied by obvious myocardial injury and hypertrophy. Further data from the hypoxia-ischemia cellular model indicated that PM2.5-induced HIF-1α accumulation was responsible for the promotion of myocardial hypoxia injury. Moreover, the declined ATP level due to the HIF-1α-mediated energy metabolism remodeling from β-oxidation to glycolysis had a critical role in the PM2.5-increased myocardial hypoxia injury. The in-depth analysis delineated that PM2.5 exposure decreased the binding of prolyl hydroxylase domain 2 (PHD2) and HIF-1α and subsequent ubiquitin protease levels, thereby leading to the accumulation of HIF-1α. Meanwhile, factor-inhibiting HIF1 (FIH1) expression was down-regulated by PM2.5, resulting in the enhanced translocation of HIF-1α to the nucleus. Overall, our study provides valuable insight into the regulatory role of oxygen sensor-mediated HIF-1α stabilization and translocation in PM-exacerbated myocardial hypoxia injury, we suggest this adds significantly to understanding the mechanisms of haze particles-caused burden of cardiovascular disease.
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Affiliation(s)
- Ze Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao, China
| | - Liu Wu
- Department of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao, China
| | - Tenglong Cui
- Department of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao, China
| | | | - Haiyi Yu
- Department of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao, China
| | - Rong Zhang
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Yanhong Wei
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Daochuan Li
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yuxin Zheng
- Department of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao, China
| | - Wen Chen
- Department of Toxicology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaoting Jin
- Department of Occupational Health and Environmental Health, School of Public Health, Qingdao University, Qingdao, China.
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Ugalde-Resano R, Riojas-Rodríguez H, Texcalac-Sangrador JL, Cruz JC, Hurtado-Díaz M. Short term exposure to ambient air pollutants and cardiovascular emergency department visits in Mexico city. ENVIRONMENTAL RESEARCH 2022; 207:112600. [PMID: 34990608 DOI: 10.1016/j.envres.2021.112600] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 12/09/2021] [Accepted: 12/17/2021] [Indexed: 06/14/2023]
Abstract
Available data on the acute cardiovascular effect of ambient air pollution (AAP) in Latin America is limited considering that over 80% of its 1 billion inhabitants live in urban settlements with poor air quality. The study aim was to evaluate the association between Cardiovascular Emergency Department Visits (CEDVs) and AAP in Mexico City from 2016 to 2019 using generalized additive models with distributed lags to examine the percentage change of CEDVs and a backward approach of time-series model to calculate attributable fractions. A total of 48,891 CEDVs were recorded in a period of 1019 days. We estimated a significant percentage increase for each 10 μg/m3 of PM10 at Lag0-5 (2.8%, 95%CI 0.6-5.0), PM2.5 at Lag0-6 (3.7%, 95%CI 0.1-7.6), O3 at Lag0-5 (1.1%, 95%CI 0.2-2.0), NO2 at Lag0-4 (2.5%, 95%CI 0.3-4.7) and for each 1 mg/m3 of CO at Lag0 (6.6%, 95%CI 0.3-13.2). Overall, 10.3% of CEDVs in Mexico City may be related to PM10 exposure, 9.5% to PM2.5, 10.3% to O3, 11% to NO2 and 5.7% to CO. AAP significantly increase cardiovascular morbidity impacting on emergency medical services.
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Affiliation(s)
- Rodrigo Ugalde-Resano
- Department of Environmental Health, Center for Population Health Research, National Institute of Public Health, 655 Avenida Universidad, Santa María Ahuacatitlan, Cuernavaca, Morelos, 62100, Mexico
| | - Horacio Riojas-Rodríguez
- Department of Environmental Health, Center for Population Health Research, National Institute of Public Health, 655 Avenida Universidad, Santa María Ahuacatitlan, Cuernavaca, Morelos, 62100, Mexico
| | - José Luis Texcalac-Sangrador
- Department of Environmental Health, Center for Population Health Research, National Institute of Public Health, 655 Avenida Universidad, Santa María Ahuacatitlan, Cuernavaca, Morelos, 62100, Mexico
| | - Julio C Cruz
- Department of Environmental Health, Center for Population Health Research, National Institute of Public Health, 655 Avenida Universidad, Santa María Ahuacatitlan, Cuernavaca, Morelos, 62100, Mexico
| | - Magali Hurtado-Díaz
- Department of Environmental Health, Center for Population Health Research, National Institute of Public Health, 655 Avenida Universidad, Santa María Ahuacatitlan, Cuernavaca, Morelos, 62100, Mexico.
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Deng Q, Long Y, Guo M, Wang M, Sun J, Lu F, Chang J, Su Y, Hu P, Zhao D, Liu J. Overall and gender-specific associations between marital status and out-of-hospital coronary death during acute coronary events: a cross-sectional study based on data linkage in Beijing, China. BMJ Open 2022; 12:e059893. [PMID: 35450912 PMCID: PMC9024228 DOI: 10.1136/bmjopen-2021-059893] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES To assess overall and gender-specific associations between marital status and out-of-hospital coronary death (OHCD) compared with patients surviving to hospital admission. DESIGN A cross-sectional study based on linkage of administrative health databases. SETTING Beijing, China. PARTICIPANTS From 2007 to 2019, 378 883 patients with acute coronary event were identified in the Beijing Monitoring System for Cardiovascular Diseases, a validated city-wide registration system based on individual linkage of vital registration and hospital discharge data. OUTCOME MEASURES OHCD was defined as coronary death occurring before admission. Multilevel modified Poisson regression models were used to calculate the prevalence ratios (PR) and 95% CIs. RESULTS Among 378 883 acute coronary events, OHCD accounted for 33.8%, with a higher proportion in women compared with men (41.5% vs 28.7%, p<0.001). Not being married was associated with a higher proportion of OHCD in both genders, with a stronger association in women (PR 2.18, 95% CI 2.10 to 2.26) than in men (PR 1.97, 95% CI 1.91 to 2.02; p for interaction <0.001). The associations of OHCD with never being married (PR 1.98, 95% CI 1.88 to 2.08) and being divorced (PR 2.54, 95% CI 2.42 to 2.67) were stronger in men than in women (never married: PR 0.98, 95% CI 0.82 to 1.16; divorced: PR 1.47, 95% CI 1.34 to 1.61) (p for interaction <0.001 for both). Being widowed was associated with a higher proportion of OHCD in both genders, with a stronger association in women (PR 2.26, 95% CI 2.17 to 2.35) compared with men (PR 1.89, 95% CI 1.84 to 1.95) (p for interaction <0.001). CONCLUSIONS Not being married was independently associated with a higher proportion of OHCD and the associations differed by gender. Our study may aid the development of gender-specific public health interventions in high-risk populations characterised by marital status to reduce OHCD burden.
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Affiliation(s)
- Qiuju Deng
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Ying Long
- School of Architecture, Tsinghua University, Beijing, China
| | - Moning Guo
- Beijing Municipal Health Big Data and Policy Research Center, Beijing Institute of Hospital Management, Beijing, China
| | - Miao Wang
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jiayi Sun
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Feng Lu
- Beijing Municipal Health Big Data and Policy Research Center, Beijing Institute of Hospital Management, Beijing, China
| | - Jie Chang
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yuwei Su
- School of Architecture, Tsinghua University, Beijing, China
| | - Piaopiao Hu
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Dong Zhao
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jing Liu
- Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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Liang L, Cai Y, Lyu B, Zhang D, Chu S, Jing H, Rahimi K, Tong Z. Air pollution and hospitalization of patients with idiopathic pulmonary fibrosis in Beijing: a time-series study. Respir Res 2022; 23:81. [PMID: 35382829 PMCID: PMC8985349 DOI: 10.1186/s12931-022-01998-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 03/18/2022] [Indexed: 11/24/2022] Open
Abstract
Background A small number of studies suggested that air pollution was associated with idiopathic pulmonary fibrosis (IPF) exacerbation, incidence and mortality. However, no studies to date were conducted in regions where air pollution is substantial. We aimed to investigate whether there are associations between acute increases in air pollution and hospitalization of patients with a confirmed primary diagnosis of IPF in Beijing. Methods Daily count of IPF hospitalizations (International Classification of Disease-10th Revision, J84.1) was obtained from an administrative database for 2013–2017 while daily city-wide average concentrations of PM10, PM2.5, NO2, Ozone, SO2 were obtained from 35 municipal monitoring stations for the same period. The association between daily IPF hospitalization and average concentration of each pollutant was analyzed with a generalized additive model estimating Poisson distribution. Results Daily 24-h mean PM2.5 concentration during 2013–2017 was 76.7 μg/m3. The relative risk (RR) of IPF hospitalization per interquartile range (IQR) higher (72 μg/m3) in PM2.5 was 1.049 (95% CI 1.024–1.074) and 1.031 (95% CI 1.007–1.056) for lag0 and moving averages 0–1 days respectively. No significant associations were observed for other lags. Statistically significant positive associations were also observed at lag0 with SO2, Ozone and NO2 (in men only). Positive associations were seen at moving averages 0–30 days for PM10 (RR per 86 μg/m3: 1.021, 95% CI 0.994–1.049), NO2 (RR per 30 μg/m3: 1.029, 95% CI 0.999–1.060), and SO2 (RR per 15 μg/m3: 1.060 (95% CI 1.025–1.097), but not with PM2.5 or Ozone. Conclusions Despite improvement in air quality since the implementation of clean air policy in 2013, acute exposure to higher levels of air pollution is significantly associated with IPF hospitalization in Beijing. Air quality policy should be continuously enforced to protect vulnerable IPF populations as well as the general public. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-01998-8.
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Affiliation(s)
- Lirong Liang
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yutong Cai
- Centre for Environmental Health and Sustainability, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, UK
| | - Baolei Lyu
- Huayun Sounding Meteorology Technology Corporation, Beijing, China
| | - Di Zhang
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Shuilian Chu
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Hang Jing
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Kazem Rahimi
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Zhaohui Tong
- Department of Clinical Epidemiology & Tobacco Dependence Treatment Research, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China. .,Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
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Liao H, Chen Q, Liu L, Zhong S, Xiao C. Utilization of Risk Scores for Coronary Heart Disease Diagnosis in Rural China. Int J Gen Med 2022; 15:2541-2548. [PMID: 35282649 PMCID: PMC8907025 DOI: 10.2147/ijgm.s355573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 02/17/2022] [Indexed: 11/29/2022] Open
Abstract
Objective The current study was to design a cardiovascular risk score for the diagnosis of coronary heart disease (CHD) in the rural area of China and the sensitivity and specificity of this score would be assessed. Methods A total of 520 patients were enrolled and based on the results from coronary artery angiography, patients were divided into three groups: CHD group (coronary artery ≥50% stenosis), atherosclerosis group (coronary artery <50% stenosis) and normal groups (without stenosis). Between-group differences were evaluated and the sensitivity and specificity of cardiovascular risk score were evaluated. Results Compared to the normal and atherosclerosis groups, patients in the CHD group were older, had higher body mass index, and more likely to be smoking and obese, and had dyslipidemia, hypertension and diabetes, and had higher cardiovascular risk score (4.05 ± 2.15 vs 2.94 ± 1.90 vs 2.54 ± 1.59). Patients in the CHD group were more likely to have cardiovascular risk scores ≥2 (90.2% CHD group vs 74.2% atherosclerosis group vs 76.1% normal group, P < 0.05). The area under the ROC was 0.673, with 95% confidence interval was 0.623-0.722 (P < 0.001), and the sensitivity and specificity were highest when the cardiovascular risk score was 4, indicating that the value of cardiovascular risk score of 4 was a good cutoff point for CHD diagnosis. Conclusion Using cardiovascular risk score can improve CHD diagnosis which may help to reduce health disparities between rural and urban area.
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Affiliation(s)
- Huocheng Liao
- Department of Cardiology, The Third People’s Hospital of Huizhou and the Affiliated Hospital of Guangzhou Medical University, Huizhou City, Guangdong Province, People’s Republic of China
| | - Qiuyue Chen
- Department of Cardiology, The Third People’s Hospital of Huizhou and the Affiliated Hospital of Guangzhou Medical University, Huizhou City, Guangdong Province, People’s Republic of China
| | - Lin Liu
- Department of Cardiology, The Third People’s Hospital of Huizhou and the Affiliated Hospital of Guangzhou Medical University, Huizhou City, Guangdong Province, People’s Republic of China
| | - Sigan Zhong
- Department of Cardiology, The Third People’s Hospital of Huizhou and the Affiliated Hospital of Guangzhou Medical University, Huizhou City, Guangdong Province, People’s Republic of China
| | - Chun Xiao
- Department of Cardiology, The Third People’s Hospital of Huizhou and the Affiliated Hospital of Guangzhou Medical University, Huizhou City, Guangdong Province, People’s Republic of China
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Moradi M, Mokhtari A, Mohammadi MJ, Hadei M, Vosoughi M. Estimation of long-term and short-term health effects attributed to PM 2.5 standard pollutants in the air of Ardabil (using Air Q + model). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:21508-21516. [PMID: 34761318 DOI: 10.1007/s11356-021-17303-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
Clean air is considered as a basic need for human health. However, air pollution is a significant threat to health in developed and developing countries. The aim of this study was to estimate the health effects attributed to PM2.5 pollutants in the air of Ardabil in 2018 (using Air Q + model). Raw data related to particles were collected from the Department of Environment and processed in Excel software and converted into an input file of the Air Q + model, and in the final stage, by considering appropriate epidemiological parameters and combining these data with air quality data, it was possible to estimate the health effects of air pollution. The results showed that the average annual concentrations of PM2.5 and PM10 were 15.47 and 30.94 in the study year, respectively. The total number of deaths due to ALRI, COPD, lung cancer, IHD, and stroke deaths on average during the study period were estimated to be 73, 11, 7, 15, and 14 deaths, respectively, which include 14.62, 15.78, 4.9, 12.43, and 11.6% of deaths due to ALRI, COPD, lung cancer, IHD, and stroke deaths, respectively. In conditions of concentration above 5 µg/m3, attributed proportion, total number of attributed cases and number of attributed cases per 100,000 population (with moderate relative risk and confidence interval of 95%) for cardiovascular diseases have been estimated to be 0.95% 103 people and 42.19 people. Also, the attributed proportion, the total number of attributable cases, and the number of attributable cases per 100,000 population (with moderate relative risk and confidence of 95%) for the admission of respiratory diseases have been estimated at 97.1%, 68 persons and 3 persons, respectively. Our results suggest that particle exposure even at low concentrations is associated with an increased risk of overall mortality and specific cause mortality and hospital admissions for respiratory and cardiovascular diseases.
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Affiliation(s)
- Mina Moradi
- Students Research Committee, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Ahmad Mokhtari
- Department of Environmental Health Engineering, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Mohammad Javad Mohammadi
- Department of Environmental Health Engineering, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mostafa Hadei
- Department of Environmental Health Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Vosoughi
- Department of Environmental Health Engineering, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran.
- Social Determinants of Health Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
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Abstract
PURPOSE OF REVIEW With cardiovascular disease (CVD) being the top cause of deaths worldwide, it is important to ensure healthy cardiovascular aging through enhanced understanding and prevention of adverse health effects exerted by external factors. This review aims to provide an updated understanding of environmental influences on cardiovascular aging, by summarizing epidemiological and mechanistic evidence for the cardiovascular health impact of major environmental stressors, including air pollution, endocrine-disrupting chemicals (EDCs), metals, and climate change. RECENT FINDINGS Recent studies generally support positive associations of exposure to multiple chemical environmental stressors (air pollution, EDCs, toxic metals) and extreme temperatures with increased risks of cardiovascular mortality and morbidity in the population. Environmental stressors have also been associated with a number of cardiovascular aging-related subclinical changes including biomarkers in the population, which are supported by evidence from relevant experimental studies. The elderly and patients are the most vulnerable demographic groups to majority environmental stressors. Future studies should account for the totality of individuals' exposome in addition to single chemical pollutants or environmental factors. Specific factors most responsible for the observed health effects related to cardiovascular aging remain to be elucidated.
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Affiliation(s)
- Yang Lan
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, 76 Yanta West Road, Yanta District, Xi'an City, Shaanxi Province, 710061, People's Republic of China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, 76 Yanta West Road, Yanta District, Xi'an City, Shaanxi Province, 710061, People's Republic of China.
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China.
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China.
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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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Jiang W, Chen H, Liao J, Yang X, Yang B, Zhang Y, Pan X, Lian L, Yang L. The short-term effects and burden of particle air pollution on hospitalization for coronary heart disease: a time-stratified case-crossover study in Sichuan, China. Environ Health 2022; 21:19. [PMID: 35045878 PMCID: PMC8767695 DOI: 10.1186/s12940-022-00832-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 01/11/2022] [Indexed: 05/13/2023]
Abstract
BACKGROUND Coronary heart disease (CHD), the leading cause of death globally, might be developed or exacerbated by air pollution, resulting high burden to patients. To date, limited studies have estimated the relations between short-term exposure to air pollution and CHD disease burden in China, with inconsistent results. Hence, we aimed to estimate the short-term impact and burden of ambient PM pollutants on hospitalizations of CHD and specific CHD. METHODS PM10 and PM2.5 were measured at 82 monitoring stations in 9 cities in Sichuan Province, China during 2017-2018. Based on the time-stratified case-crossover design, the effects of short-term exposure to particle matter (PM) pollution on coronary heart disease (CHD) hospital admissions were estimated. Meanwhile, the linked burden of CHD owing to ambient PM pollution were estimated. RESULTS A total of 104,779 CHD records were derived from 153 hospitals from these 9 cities. There were significant effects of PM pollution on hospital admissions (HAs) for CHD and specific CHD in Sichuan Province. A 10 μg/m3 increase of PM10 and PM2.5 was linked with a 0.46% (95% CI: 0.08, 0.84%), and 0.57% (95% CI: 0.05, 1.09%) increments in HAs for CHD at lag7, respectively. The health effects of air pollutants were comparable modified by age, season and gender, showing old (≥ 65 years) and in cold season being more vulnerable to the effects of ambient air pollution, while gender-specific effects is positive but not conclusive. Involving the WHO's air quality guidelines as the reference, 1784 and 2847 total cases of HAs for CHD could be attributable to PM10 and PM2.5, separately. The total medical cost that could be attributable to exceeding PM10 and PM2.5 were 42.04 and 67.25 million CNY from 2017 to 2018, respectively. CONCLUSIONS This study suggested that the short-term exposure to air pollutants were associated with increased HAs for CHD in Sichuan Province, which could be implications for local environment improvement and policy reference.
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Affiliation(s)
- Wanyanhan Jiang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China
| | - Han Chen
- State Key Laboratory of Grassland and Agro-ecosystem, School of Life Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Jiaqiang Liao
- West China School of Public Health, Sichuan University, No. 17 People's South Road, Wuhou District, Chengdu, 610041, Sichuan, China
| | - Xi Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China
| | - Biao Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China
| | - Yuqin Zhang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China
| | - Xiaoqi Pan
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China
| | - Lulu Lian
- Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Lian Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, Sichuan, China.
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Trends and Inequalities in the Incidence of Acute Myocardial Infarction among Beijing Townships, 2007-2018. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182312276. [PMID: 34886003 PMCID: PMC8656834 DOI: 10.3390/ijerph182312276] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/15/2021] [Accepted: 11/17/2021] [Indexed: 11/28/2022]
Abstract
Acute myocardial infarction (AMI) poses a serious disease burden in China, but studies on small-area characteristics of AMI incidence are lacking. We therefore examined temporal trends and geographic variations in AMI incidence at the township level in Beijing. In this cross-sectional analysis, 259,830 AMI events during 2007–2018 from the Beijing Cardiovascular Disease Surveillance System were included. We estimated AMI incidence for 307 consistent townships during consecutive 3-year periods with a Bayesian spatial model. From 2007 to 2018, the median AMI incidence in townships increased from 216.3 to 231.6 per 100,000, with a greater relative increase in young and middle-aged males (35–49 years: 54.2%; 50–64 years: 33.2%). The most pronounced increases in the relative inequalities was observed among young residents (2.1 to 2.8 for males and 2.8 to 3.4 for females). Townships with high rates and larger relative increases were primarily located in Beijing’s northeastern and southwestern peri-urban areas. However, large increases among young and middle-aged males were observed throughout peri-urban areas. AMI incidence and their changes over time varied substantially at the township level in Beijing, especially among young adults. Targeted mitigation strategies are required for high-risk populations and areas to reduce health disparities across Beijing.
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Zhuang J, Bai H, Sun J, Zhang T, Li J, Chen Y, Zhang H, Sun Q. The association between fine particulate matter and acute lower respiratory infections in Yancheng City, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:61723-61731. [PMID: 34184226 DOI: 10.1007/s11356-021-15102-y] [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: 03/17/2021] [Accepted: 06/21/2021] [Indexed: 06/13/2023]
Abstract
Due to the rapid economic development and acceleration of industrialization, most cities in China are experiencing severe air pollution. Exposure to fine particulate matter (PM2.5) has been associated with acute lower respiratory tract infection (ALRI). To estimate associations between short-term exposure to PM2.5 and ALRI hospitalization in Yancheng City, China. This was a 6-year time-series study from 2014 to 2019. Data on hospitalization were collected from four high-ranked general hospitals, including for community-acquired pneumonia (CAP), acute exacerbation of chronic bronchitis (AECB), acute exacerbation of chronic obstructive pulmonary disease (AECOPD), and acute exacerbation of bronchiectasis (AEB), and the sum was termed total ALRIs. We obtained pollutant exposure data from five fixed monitoring stations. The association between PM2.5 and ALRI hospitalization was estimated using the generalized linear model with quasi-Poisson regression. Two-pollutant models were applied to test the robustness of the observed correlations. Subgroup analyses included sex, age, and season. During the study period, a total of 43,283 cases of total ALRIs were recorded. The average annual mean PM2.5 concentration was 45.4 ± 32.3 μg/m3. A 10-μg/m3 increase in PM2.5 concentration (lag 0) was significantly associated with increases in hospitalizations for total ALRIs (at 0.73%; 95% CI: 0.40%, 1.06%), in CAP (at 0.80%; 95% CI: 0.02%, 1.57%), in for AECOPD (1.08%; 95% CI: 0.38%, 1.78%), and AECB (0.67%; 95% CI: 0.23%, 1.11%). The estimated effects for total ALRIs and AECB were relatively robust with adjustment for other air pollutants. Associations between PM2.5 and total ALRIs were stronger in females, in the elderly, and in the cold season. PM2.5 exposure was significantly associated with ALRI morbidity, and females and older people were more susceptible to PM2.5 air pollution, especially in the cold season.
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Affiliation(s)
- Jin Zhuang
- Department of Respiratory Medicine, The First People's Hospital of Yancheng, Affiliated Hospital 4 of Nantong University, No. 166 Yulong West Road, Yancheng, Jiangsu Province, 224006, China
- School of Medicine, Nantong University, Nantong, Jiangsu Province, 224006, China
| | - Hongjian Bai
- Department of Respiratory Medicine, The First People's Hospital of Yancheng, Affiliated Hospital 4 of Nantong University, No. 166 Yulong West Road, Yancheng, Jiangsu Province, 224006, China
- School of Medicine, Nantong University, Nantong, Jiangsu Province, 224006, China
| | - Jian Sun
- Department of Respiratory Medicine, The First People's Hospital of Yancheng, Affiliated Hospital 4 of Nantong University, No. 166 Yulong West Road, Yancheng, Jiangsu Province, 224006, China
| | - Ting Zhang
- Department of Respiratory Medicine, The First People's Hospital of Yancheng, Affiliated Hospital 4 of Nantong University, No. 166 Yulong West Road, Yancheng, Jiangsu Province, 224006, China
| | - Jingjing Li
- Department of Respiratory Medicine, The First People's Hospital of Yancheng, Affiliated Hospital 4 of Nantong University, No. 166 Yulong West Road, Yancheng, Jiangsu Province, 224006, China
| | - Yanjun Chen
- Department of Respiratory Medicine, The First People's Hospital of Yancheng, Affiliated Hospital 4 of Nantong University, No. 166 Yulong West Road, Yancheng, Jiangsu Province, 224006, China
| | - Haiyan Zhang
- Department of Respiratory Medicine, The First People's Hospital of Yancheng, Affiliated Hospital 4 of Nantong University, No. 166 Yulong West Road, Yancheng, Jiangsu Province, 224006, China
| | - Qian Sun
- Department of Respiratory Medicine, The First People's Hospital of Yancheng, Affiliated Hospital 4 of Nantong University, No. 166 Yulong West Road, Yancheng, Jiangsu Province, 224006, China.
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Wang Z, Li X, Hu P, Li S, Guan J, Wang B, Yang F, Zhang D. Influence of air pollutants on varicella among adults. Sci Rep 2021; 11:21020. [PMID: 34697367 PMCID: PMC8546085 DOI: 10.1038/s41598-021-00507-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 10/08/2021] [Indexed: 11/09/2022] Open
Abstract
Little attention has been paid to the relationship between air pollutants and varicella among adults. We used data collected in Qingdao, China from 2014 to 2019. A combination of quasi-Poisson generalized linear model (GLM) and distributed lag non-linear model (DLNM) was applied to evaluate the association between exposure to air pollutants and varicella. And the effects of exposure to extremely high concentration (at 97.5th percentile) and low concentration (at 2.5th percentile) of air pollutants on varicella were also calculated. The level II of GB3095-2012 was used as the reference. A 10 μg/m3 increase of PM2.5 was significantly associated with an increased risk of varicella (lag day: 4, 5 and 6). The negative associations were found for NO2 per 10 μg/m3 increase from lag 15 to 19 day. The high PM2.5 concentration (135 μg/m3) was significantly associated with the increased risk of varicella (lag day: 6, 7). For NO2, the negative association was found at high concentration (75 μg/m3) on lag 15 to 20 day; and the positive relationship was shown at low concentration (10 μg/m3) on lag 15 to 20 day. Exposure to PM2.5 and NO2 were significantly associated with the risk of varicella among adults.
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Affiliation(s)
- Zixuan Wang
- Department of Epidemiology and Health Statistics, The School of Public Health, Qingdao University, No. 308 Ningxia Road, QingdaoShandong, 266021, China
| | - Xiaofan Li
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China
| | - Ping Hu
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China
| | - Shanpeng Li
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China
| | - Jing Guan
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China
| | - Bingling Wang
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China
| | - Feng Yang
- Qingdao Municipal Center for Disease Control and Prevention of Qingdao, Qingdao, Institute of Preventive Medicine, Qingdao, 266034, Shandong, China.
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, The School of Public Health, Qingdao University, No. 308 Ningxia Road, QingdaoShandong, 266021, China.
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Chen C, Zhang Y, Bai Y, Li W. The impact of green credit on economic growth-The mediating effect of environment on labor supply. PLoS One 2021; 16:e0257612. [PMID: 34547050 PMCID: PMC8454949 DOI: 10.1371/journal.pone.0257612] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 09/03/2021] [Indexed: 11/18/2022] Open
Abstract
Background The progress of green credit in China is accelerating, but its development is uneven and insufficient in different regions. And whether the issuance of green credit can effectively promote the improvement of the environment and economy is not well understood. Objective Previous research has found that green credit promotes economic growth through improvement of the industrial structure and green technological innovation. However, these studies have not considered the positive externality of environmental improvement even though environmental improvement and economic growth are requirements of the sustainable development concept. Methods We use the chain-mediated model to estimate the impact of green credit issuance on the economic growth of different provinces since the large-scale implementation of green credit in China with data from 2008 to 2016. Results and conclusion This paper shows that the issuance of green credit can improve labor supply rather than labor productivity through the improvement of air quality to achieve regional economic growth. Such a chain-mediated path is different from the economic growth caused by industrial structural adjustment and green technology innovation. At the national level, every 1% increase in green credit issuance relative to industrial loans will increase the per capita gross domestic product (GDP) by approximately 4.6 yuan, or 0.012%, through air quality and labor supply, accounting for 2.875% of the total effect. Heterogeneity analysis indicates that due to regional industrial structure differences and diminishing marginal effects, the impact of green credit is stronger in the western region than in the eastern and central regions. For every 1% increase in the proportion of green credit issuance relative to industrial loans, the per capita GDP growth achieved through the chain-mediated path is approximately 30.17 yuan in the western region, approximately 6.6 times greater than that at the national level. Within a 95% confidence interval of 5000 bootstrap samples, this path is found to be true, and the chain-mediated effect accounts for approximately 12.96% of the total indirect effect. Limitations The limitation of this paper is the measurement of green credit. Although green credit has a large volume, it remains underdeveloped, and there is a lack of perfect indicators. Most existing studies have adopted only alternative or reverse indicators to measure the issuance of green credit. For example, this paper takes the interest expenditure of six high-energy-consuming enterprises as the reverse indicator, which may to a certain extent lead to the overestimation of the issuance of green credit and its impact on the environment and economy. Future research can accurately explore the performance of green credit on the basis of its mature development.
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Affiliation(s)
- Cai Chen
- School of Economics and Management, Shanghai Ocean University, Shanghai, China
| | - Yingli Zhang
- School of Economics and Management, Shanghai Ocean University, Shanghai, China
- * E-mail:
| | - Yun Bai
- School of Economics and Management, Shanghai Ocean University, Shanghai, China
| | - Wenrui Li
- School of Economics and Management, Shanghai Ocean University, Shanghai, China
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Chen H, Wu J, Wang M, Wang S, Wang J, Yu H, Hu Y, Shang S. Impact of Exposure to Ambient Fine Particulate Matter Pollution on Adults with Knee Osteoarthritis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18189644. [PMID: 34574569 PMCID: PMC8466353 DOI: 10.3390/ijerph18189644] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/02/2021] [Accepted: 09/10/2021] [Indexed: 12/18/2022]
Abstract
The impact of exposure to fine particulate matter (PM2.5) on the incidence of knee osteoarthritis is unclear, especially in Beijing which is a highly polluted city. We conducted a time-series study to examine the correlation between PM2.5 exposure and outpatient visits for knee osteoarthritis in Beijing. Changes (in percentage) in the number of outpatient visits corresponding to every 10-μg/m3 increase in the PM2.5 concentration were determined using a generalized additive quasi-Poisson model. There were records of 9,797,446 outpatient visits for knee osteoarthritis in the study period from 1 January 2010 to 31 December 2017. The daily concentration of PM2.5 was 86.8 (74.3) μg/m3 over this period. A 10-μg/m3 increase in PM2.5 concentrations on lag days 0–3 was associated with a 1.41% (95% confidence interval: 1.40–1.41%) increase in outpatient visits for knee osteoarthritis. Females and patients aged above 65 years were more sensitive to the adverse effects of PM2.5 exposure. The present findings demonstrate that short-term exposure to PM2.5 resulted in an increase in the number of outpatient visits for knee osteoarthritis in Beijing. The findings shed light on the effects of air pollution on knee osteoarthritis and could guide risk-mitigating strategies in cities such as Beijing.
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Affiliation(s)
- Hongbo Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
- School of Nursing, Peking University, No. 38 Xueyuan Road, Beijing 100191, China
| | - Junhui Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
| | - Mengying Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
| | - Siyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
| | - Jiating Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
| | - Huan Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China; (H.C.); (J.W.); (M.W.); (S.W.); (J.W.); (H.Y.)
- Medical Informatics Center, Peking University, No. 38 Xueyuan Road, Beijing 100191, China
- Correspondence: (Y.H.); (S.S.)
| | - Shaomei Shang
- School of Nursing, Peking University, No. 38 Xueyuan Road, Beijing 100191, China
- Correspondence: (Y.H.); (S.S.)
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Lu RXZ, Radisic M. Organ-on-a-chip platforms for evaluation of environmental nanoparticle toxicity. Bioact Mater 2021; 6:2801-2819. [PMID: 33665510 PMCID: PMC7900603 DOI: 10.1016/j.bioactmat.2021.01.021] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 01/20/2021] [Accepted: 01/20/2021] [Indexed: 02/07/2023] Open
Abstract
Despite showing a great promise in the field of nanomedicine, nanoparticles have gained a significant attention from regulatory agencies regarding their possible adverse health effects upon environmental exposure. Whether those nanoparticles are generated through intentional or unintentional means, the constant exposure to nanomaterials can inevitably lead to unintended consequences based on epidemiological data, yet the current understanding of nanotoxicity is insufficient relative to the rate of their emission in the environment and the lack of predictive platforms that mimic the human physiology. This calls for a development of more physiologically relevant models, which permit the comprehensive and systematic examination of toxic properties of nanoparticles. With the advancement in microfabrication techniques, scientists have shifted their focus on the development of an engineered system that acts as an intermediate between a well-plate system and animal models, known as organ-on-a-chips. The ability of organ-on-a-chip models to recapitulate in vivo like microenvironment and responses offers a new avenue for nanotoxicological research. In this review, we aim to provide overview of assessing potential risks of nanoparticle exposure using organ-on-a-chip systems and their potential to delineate biological mechanisms of epidemiological findings.
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Affiliation(s)
- Rick Xing Ze Lu
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Milica Radisic
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
- Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada
- Toronto General Research Institute, University Health Network, Toronto, ON, Canada
- The Heart and Stroke/Richard Lewar Centre of Excellence, Toronto, ON, Canada
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47
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Khaniabadi YO, Sicard P. A 10-year assessment of ambient fine particles and related health endpoints in a large Mediterranean city. CHEMOSPHERE 2021; 278:130502. [PMID: 34126698 DOI: 10.1016/j.chemosphere.2021.130502] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 03/30/2021] [Accepted: 04/04/2021] [Indexed: 06/12/2023]
Abstract
Fine particles i.e., with an aerodynamic diameter lower than 2.5 μm (PM2.5) have potentially the most significant effects on human health compared to other air pollutants. The main objectives of this study were to i) investigate the temporal variations of ambient PM2.5 in Marseille (Southern France), where air pollution is again a major public health issue, and ii) estimate their short-term health effects and annual trend (Mann-Kendall test) over a 10-year period from 2010 to 2019. In Marseille, the main sources of PM2.5 could be related to road traffic, industrial complexes, and oil refineries surrounded the city. The number of premature deaths and hospital admissions attributable to ambient PM2.5 exposure for non-accidental causes, cardiovascular and respiratory diseases were estimated by using in-situ air quality data, city-specific relative risk values and baseline incidence. Despite significant reduction of PM2.5 (- 0.80 μg m-3 year-1), Marseille citizens were exposed to PM2.5 levels exceeding the World Health Organization (WHO) Air Quality Guideline for human health protection (10 μg m-3) during entire study period. Exposure to ambient PM2.5 substantially contributed to mortality and hospital admissions: 871 deaths for non-accidental causes, 515 deaths for cardiovascular diseases, 47 deaths for respiratory diseases, as well as 1034 hospital admissions for cardiovascular diseases and 834 for respiratory diseases were reported between 2010 and 2019. Compliance with WHO annual limit values can result in substantial socio-economic benefits by preventing premature deaths and hospital admissions. For instance, based on the value of a statistical life and average cost of a hospital admission, the associated benefit for healthcare would have been €131 million in 2019. Between 2010 and 2019, the number of PM2.5-related non-accidental deaths decreased by 1.15 per 105 inhabitants annually. Compared to 2010-2019, the restrictive measures associated to COVID-19 pandemic led to a reduction in PM2.5 of 11% in Marseille, with 2.6 PM2.5-related deaths averted in 2020.
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Affiliation(s)
- Yusef Omidi Khaniabadi
- Department of Environmental Health Engineering, Industrial Medial and Health, Petroleum Industry Health Organization (PIHO), Ahvaz, Iran
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48
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Wang M, Huang Y, Song Y, Chen J, Liu X. Study on Environmental and Lifestyle Factors for the North-South Differential of Cardiovascular Disease in China. Front Public Health 2021; 9:615152. [PMID: 34336751 PMCID: PMC8322531 DOI: 10.3389/fpubh.2021.615152] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 05/17/2021] [Indexed: 11/13/2022] Open
Abstract
Human death and life span are closely related to the geographical environment and regional lifestyle. These factors considerably vary among counties and regions, leading to the geographical disparity of disease. Quantitative studies on this phenomenon are insufficient. Cerebrovascular and heart diseases are the leading causes of death. The mortality rate of cerebrovascular and heart diseases is statistically higher in northern China than in southern China; the p-value of t-test for cerebrovascular and heart diseases was 0.047 and 0.000, respectively. The population attribution fraction of 12 major risk factors for cardiovascular disease (CVD) in each province was calculated based on their exposure and relative risk. The results found that residents in northern China consume high sodium-containing food, fewer vegetables, and less sea food products, and tend to be overweight. Fine particulate matter is higher in northern China than in southern China. Cold temperatures also cause a greater number of deaths than hot temperatures. All these factors have resulted in a higher CVD mortality rate in northern China. The attributive differential for sodium, vegetable, fruit, smoking, PM2.5, omega-3, obesity, low temperature, and high temperature of heart disease between the two parts of China is 9.1, 0.7, -2.5, 0.1, 1.4, 1.3, 2.0, 4.7, and -2.1%, respectively. Furthermore, the attributive differential for the above factors of cerebrovascular disease between the two parts of China is 8.7, 0.0, -5.2, 0.1, 1.0, 0.0, 2.4, 4.7, and -2.1%. Diet high in sodium is the leading cause of the north-south differential in CVD, resulting in 0.71 less years of life expectancy in northern compared with that in southern China.
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Affiliation(s)
- Mengqi Wang
- School of Geographic Sciences, Nantong University, Nantong, China
| | - Yi Huang
- School of Geographic Sciences, Nantong University, Nantong, China
| | - Yanxin Song
- School of Geographic Sciences, Nantong University, Nantong, China
| | - Jianwei Chen
- School of Geographic Sciences, Nantong University, Nantong, China
| | - Xiaoxiao Liu
- School of Geographic Sciences, Nantong University, Nantong, China
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49
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Gu Y, Xiao ZH, Wu J, Guo M, Lv P, Dou N. Anti-Atherosclerotic Effect of Afrocyclamin A against Vascular Smooth Muscle Cells Is Mediated via p38 MAPK Signaling Pathway. CELL JOURNAL 2021; 23:191-198. [PMID: 34096220 PMCID: PMC8181314 DOI: 10.22074/cellj.2021.7148] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 07/19/2020] [Indexed: 11/04/2022]
Abstract
OBJECTIVE Research suggests that fine particulate matter (PM2.5) contributes to the expansion and development of atherosclerosis. Infiltration and proliferation of vascular smooth muscle cells (VSMCs) from the blood vessel media into the intima, is an important step in the atherosclerosis pathophysiology. Afrocyclamin A, is an oleanane-type triterpene saponin, isolated from Androsace umbellate, which is commonly used in Chinese herbal medicine. In the study, we examined the effect of Afrocyclamin A on PM2.5-induced VSMCs proliferation and scrutinized possible mechanisms of action. MATERIALS AND METHODS In the experimental study, counting Kit-8 (CCK-8) assay was used for estimation of VSMCs viability. BrdU immunofluorescence was used for estimation of VSMCs proliferation. The levels of antioxidant parameters such as malonaldehyde (MDA), superoxide dismutase (SOD), and glutathione (GSH); proinflammatory cytokines such as interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α (TNF-α), nitric oxide (NO), endothelin-1 (ET-1), and vascular cell adhesion molecule-1 (VCAM-1), were estimated. The expression of proliferating cell nuclear antigen (PCNA) and phospho-p38 MAPK (p-p38 MAPK) was assessed. RESULTS Compared to PM2.5-treated cells, in addition to reducing PM2.5-induced VSMCs proliferation, Afrocyclamin A reduced the expression of PCNA and p-p38 MAPK, down-regulated the level of TNF-α, IL-1β, IL-6, VCAM-1, MDA and ET-1, and up-regulated SOD, GSH and NO level. Furthermore, the anti-proliferative effect of Afrocyclamin A was considerably increased following co-incubation of Afrocyclamin A with SB203580 (p38 MAPK inhibitor) in comparison with Afrocyclamin A-treated cells. CONCLUSION Based on the results, we can conclude that Afrocyclamin A might reduce PM2.5-induced VSMCs proliferation via reduction of p38 MAPK signaling pathway.
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Affiliation(s)
- Yan Gu
- Department of Vascular Surgery, Tianjin First Center Hospital, Tianjin, China.
| | - Z Hanzhan Xiao
- Department of Emergency Services, The Fourth People's Hospital of Jinan City, Jinan, Shandong Province, China
| | - Jianlie Wu
- Department of Vascular Surgery, The Affiliated Hospital of Qingdao University, Qingdao City, China
| | - Mingjin Guo
- Department of Vascular Surgery, The Affiliated Hospital of Qingdao University, Qingdao City, China
| | - Ping Lv
- Department of Hematology, The Fourth People's Hospital of Jinan City, Jinan, Shandong Province, China
| | - Ning Dou
- Department of General Surgery, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
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50
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Liu K, Cao H, Guo C, Pan L, Cui Z, Sun J, Zhao W, Han X, Zhang H, Wang Z, Niu K, Tang N, Shan G, Zhang L. Environmental and Genetic Determinants of Major Chronic Disease in Beijing-Tianjin-Hebei Region: Protocol for a Community-Based Cohort Study. Front Public Health 2021; 9:659701. [PMID: 34150703 PMCID: PMC8212971 DOI: 10.3389/fpubh.2021.659701] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/31/2021] [Indexed: 01/23/2023] Open
Abstract
Introduction: Personal lifestyle and air pollution are potential risk factors for major non-communicable diseases (NCDs). However, these risk factors have experienced dramatic changes in the Beijing–Tianjin–Hebei (BTH) region in recent years, and few cohorts have focused on identifying risk factors for major NCDs in this specific region. The current study is a large, prospective, long-term, population-based cohort study that investigated environmental and genetic determinants of NCDs in BTH areas. The results of this study may provide scientific support for efforts to develop health recommendations for personalized prevention. Methods: About 36,000 participants 18 years or older would be obtained by multistage, stratified cluster sampling from five cities for the baseline assessment. Participants underwent seven examinations primarily targeting respiratory and circulatory system function and filled out questionnaires regarding lifestyle behavior, pollutant exposure, medical and family history, medication history, and psychological factors. Biochemistry indicators and inflammation markers were tested, and a biobank was established. Participants will be followed up every 2 years. Genetic determinants of NCDs will be demonstrated by using multiomics, and risk prediction models will be constructed using machine learning methods based on a multitude of environmental exposure, examination data, biomarkers, and psychosocial and behavioral assessments. Significant spatial and temporal differentiation is well-suited to demonstrating the health determinants of NCDs in the BTH region, which may facilitate public health strategies with respect to disease prevention and survivorship-related aspects.
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Affiliation(s)
- Kuo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Han Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Chunyue Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.,School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Ze Cui
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, China
| | - Jixin Sun
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, China
| | - Wei Zhao
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Xiaoyan Han
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Han Zhang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, China
| | - Zhengfang Wang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.,School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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