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Ferreira ML, Hunter DJ, Fu A, Raihana S, Urquhart D, Ferreira PH. Come rain or shine: Is weather a risk factor for musculoskeletal pain? A systematic review with meta-analysis of case-crossover studies. Semin Arthritis Rheum 2024; 65:152392. [PMID: 38340613 DOI: 10.1016/j.semarthrit.2024.152392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024]
Abstract
OBJECTIVES The weather is frequently blamed for changes in musculoskeletal health behaviour and adverse events. However, despite the frequency with which this phenomenon is endorsed, past research is largely conflicting. This meta-analysis has reviewed, appraised and summarised case-crossover studies assessing the transient risk of musculoskeletal health events associated with weather parameters (e.g. temperature, relative humidity, air pressure, and precipitation). METHODS A meta-analysis of case-crossover studies was conducted. Two reviewers independently searched MEDLINE, EMBASE, CINAHL, Web of Science, Scopus, and PsycINFO from inception to 10/09/2023. Published studies that employed a case-crossover design to evaluate the risk of musculoskeletal health events (e.g. symptoms, hospitalisation) associated with weather parameters were included. Primary outcome was pain (new episodes of pain or flares). Quality of included studies was assessed based on selection bias, exposure assessment, confounding, and outcome assessment. Pooling of results was conducted using random effects models and separately performed for each condition and weather factor. Heterogeneity among included studies was assessed using I2 measures. FINDINGS Of the 1,107 studies identified in the search, 11 were included (15,315 participants), providing data on 28,010 events (102,536 control periods), for seven musculoskeletal conditions. Pooled analyses showed no association between relative humidity, air pressure, temperature, or precipitation and the risk of rheumatoid arthritis, knee pain or low back pain. High temperatures combined with low humidity were associated with increased pain, redness, and joint swelling in people with gout (Odds Ratio: 2.04; 95 % Confidence Interval: 1.26 to 3.30). INTERPRETATION Despite anecdotal reports from patients, changes in weather factors do not seem to be risk factors for rheumatoid arthritis, knee, hip, or low back pain, but may have a significant influence in gout disease.
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Affiliation(s)
- Manuela L Ferreira
- The University of Sydney, Sydney Musculoskeletal Health, The Kolling Institute, School of Health Sciences, Faculty of Medicine and Health, Sydney, NSW, Australia.
| | - David J Hunter
- The University of Sydney, Sydney Musculoskeletal Health, The Kolling Institute, Sydney Medical School, Faculty of Medicine and Health, Sydney, NSW, Australia
| | - Allan Fu
- The University of Sydney, Sydney Musculoskeletal Health, The Kolling Institute, School of Health Sciences, Faculty of Medicine and Health, Sydney, NSW, Australia; The University of Sydney, Discipline of Physiotherapy, School of Health Sciences, Faculty of Medicine and Health, Sydney, NSW, Australia; The University of Sydney, Sydney Musculoskeletal Health, Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, Sydney, NSW, Australia
| | - Shahreen Raihana
- Northern Sydney Local Health District Executive Unit, Sydney, NSW, Australia
| | - Donna Urquhart
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Paulo H Ferreira
- The University of Sydney, Sydney Musculoskeletal Health, Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, Sydney, NSW, Australia
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Wu Y, Shen P, Yang Z, Yu L, Xu L, Zhu Z, Li T, Luo D, Lin H, Shui L, Tang M, Jin M, Chen K, Wang J. Outdoor Light at Night, Air Pollution, and Risk of Cerebrovascular Disease: A Cohort Study in China. Stroke 2024; 55:990-998. [PMID: 38527152 DOI: 10.1161/strokeaha.123.044904] [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: 08/19/2023] [Revised: 01/09/2024] [Accepted: 01/22/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND We sought to explore the associations of outdoor light at night (LAN) and air pollution with the risk of cerebrovascular disease (CeVD). METHODS We included a total of 28 302 participants enrolled in Ningbo, China from 2015 to 2018. Outdoor LAN and air pollution were assessed by Satellite-derived images and land-use regression models. CeVD cases were confirmed by medical records and death certificates and further subdivided into ischemic and hemorrhagic stroke. Cox proportional hazard models were used to estimate hazard ratios and 95% CIs. RESULTS A total of 1278 CeVD cases (including 777 ischemic and 133 hemorrhagic stroke cases) were identified during 127 877 person-years of follow-up. In the single-exposure models, the hazard ratios for CeVD were 1.17 (95% CI, 1.06-1.29) for outdoor LAN, 1.25 (1.12-1.39) for particulate matter with an aerodynamic diameter ≤2.5 µm, 1.14 (1.06-1.22) for particulate matter with aerodynamic diameter ≤10 μm, and 1.21 (1.06-1.38) for NO2 in every interquartile range increase. The results were similar for ischemic stroke, whereas no association was observed for hemorrhagic stroke. In the multiple-exposure models, the associations of outdoor LAN and PM with CeVD persisted but not for ischemic stroke. Furthermore, no interaction was observed between outdoor LAN and air pollution. CONCLUSIONS Levels of exposure to outdoor LAN and air pollution were positively associated with the risk of CeVD. Furthermore, the detrimental effects of outdoor LAN and air pollution might be mutually independent.
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Affiliation(s)
- Yonghao Wu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
| | - Peng Shen
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China (P.S., H.L.)
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
| | - Luhua Yu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
| | - Lisha Xu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
| | - Zhanghang Zhu
- Department of Public Health, Second Affiliated Hospital (Z.Z., M.J., K.C.), Zhejiang University School of Medicine, Hangzhou, China
| | - Tiezheng Li
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
| | - Dan Luo
- Department of Public Health, Hangzhou Medical College, China (D.L.)
| | - Hongbo Lin
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo, China (P.S., H.L.)
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, China (L.S.)
| | - Mengling Tang
- Department of Public Health, Fourth Affiliated Hospital (M.T.), Zhejiang University School of Medicine, Hangzhou, China
| | - Mingjuan Jin
- Department of Public Health, Second Affiliated Hospital (Z.Z., M.J., K.C.), Zhejiang University School of Medicine, Hangzhou, China
| | - Kun Chen
- Department of Public Health, Second Affiliated Hospital (Z.Z., M.J., K.C.), Zhejiang University School of Medicine, Hangzhou, China
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital (Y.W., Z.Y., L.Y., L.X., T.L., J.W.), Zhejiang University School of Medicine, Hangzhou, China
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Amnuaylojaroen T, Parasin N. Pathogenesis of PM 2.5-Related Disorders in Different Age Groups: Children, Adults, and the Elderly. EPIGENOMES 2024; 8:13. [PMID: 38651366 PMCID: PMC11036283 DOI: 10.3390/epigenomes8020013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 02/07/2024] [Accepted: 03/08/2024] [Indexed: 04/25/2024] Open
Abstract
The effects of PM2.5 on human health fluctuate greatly among various age groups, influenced by a range of physiological and immunological reactions. This paper compares the pathogenesis of the disease caused by PM2.5 in people of different ages, focusing on how children, adults, and the elderly are each susceptible to it because of differences in their bodies. Regarding children, exposure to PM2.5 is linked to many negative consequences. These factors consist of inflammation, oxidative stress, and respiratory problems, which might worsen pre-existing conditions and potentially cause neurotoxicity and developmental issues. Epigenetic changes can affect the immune system and make people more likely to get respiratory diseases. On the other hand, exposures during pregnancy can change how the cardiovascular and central nervous systems develop. In adults, the inhalation of PM2.5 is associated with a wide range of health problems. These include respiratory difficulties, reduced pulmonary function, and an increased susceptibility to illnesses such as asthma, chronic obstructive pulmonary disease (COPD), and lung cancer. In addition, exposure to PM2.5 induces systemic inflammation, cardiovascular diseases, insulin resistance, and neurotoxic consequences. Evident disturbances in the immune system and cognitive function demonstrate the broad impact of PM2.5. The elderly population is prone to developing respiratory and cardiovascular difficulties, which worsen their pre-existing health issues and raise the risk of cognitive decline and neurological illnesses. Having additional medical conditions, such as peptic ulcer disease, significantly increases the likelihood of being admitted to hospital.
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Affiliation(s)
- Teerachai Amnuaylojaroen
- School of Energy and Environment, University of Phayao, Phayao 56000, Thailand
- Atmospheric Pollution and Climate Research Unit, School of Energy and Environment, University of Phayao, Phayao 56000, Thailand
| | - Nichapa Parasin
- School of Allied Health Science, University of Phayao, Phayao 56000, Thailand;
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Ban J, Cheng J, Zhang C, Lu K, Zhou Z, Liu Z, Chen Y, Wang C, Cai W, Gong P, Luo Y, Tong D, Hu J, Guo X, Hao J, Li T. China's carbon-neutral policies will reduce short-term PM 2.5-associated excess incidence of cardiovascular diseases. ONE EARTH (CAMBRIDGE, MASS.) 2024; 7:497-505. [PMID: 38532982 PMCID: PMC10962059 DOI: 10.1016/j.oneear.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/31/2023] [Accepted: 01/08/2024] [Indexed: 03/28/2024]
Abstract
China's carbon-neutral target could have benefits for ambient fine particulate matter (PM2.5)-associated mortality. Although previous studies have researched such benefits, the potential impact on cardiovascular disease incidence burden is yet to be investigated thoroughly. Here, we first estimate the association between short-term PM2.5 exposure and the incidence of stroke and coronary heart disease (CHD) via a case-crossover study before projecting future changes in short-term PM2.5-associated excess incidence across China from 2025 to 2060 under three different emission scenarios. We find that, compared to the 2015-2020 baseline, average PM2.5 concentrations nationwide in 2060 under SSP119 (an approximation of a carbon-neutral scenario) are projected to decrease by 81.07%. The short-term PM2.5-related excess incidence of stroke and CHD is projected to be reduced to 3,352 cases (95% confidence interval: 939, 5,738)-compared with 34,485 cases under a medium-emissions scenario (SSP245)-and is expected to be accompanied by a 95% reduction in the related economic burden. China's carbon-neutral policies are likely to bring health benefits for cardiovascular disease by reducing short-term PM2.5-related incidence burden.
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Affiliation(s)
- Jie Ban
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Jing Cheng
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
| | - Can Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Kailai Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Zhen Zhou
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Zhao Liu
- School of Linkong Economics and Management, Beijing Institute of Economics and Management, Beijing 100024, China
| | - Yidan Chen
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China
| | - Can Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China
| | - Wenjia Cai
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
| | - Peng Gong
- Department of Earth Sciences and Geography, University of Hong Kong, Hong Kong Special Administrative Region 999077, China
| | - Yong Luo
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
| | - Dan Tong
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
| | - Jianlin Hu
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing 100191, China
| | - Junwei Hao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, No. 45 Changchun Street, Xicheng District, Beijing 100053, China
- Key Laboratory for Neurodegenerative Diseases of Ministry of Education, No. 45 Changchun Street, Xicheng District, Beijing 100053, China
- Beijing Municipal Geriatric Medical Research Center, No. 45 Changchun Street, Xicheng District, Beijing 100053, China
| | - Tiantian Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Carver A, Beare R, Knibbs LD, Mavoa S, Grocott K, Wheeler AJ, Srikanth V, Andrew NE. Exploring associations of greenery, air pollution and walkability with cardiometabolic health in people at midlife and beyond. Geriatr Gerontol Int 2024; 24 Suppl 1:208-214. [PMID: 38115171 PMCID: PMC11503538 DOI: 10.1111/ggi.14743] [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: 08/31/2023] [Revised: 10/25/2023] [Accepted: 11/04/2023] [Indexed: 12/21/2023]
Abstract
AIM To examine associations of neighborhood greenery, air pollution and walkability with cardiometabolic disease in adults aged ≥45 years in the Frankston-Mornington Peninsula region, Victoria, Australia. METHODS A cross-sectional, ecological study design was used. We assessed mean annual neighborhood greenery using the Normalized Difference Vegetation Index; air pollution (fine particulate matter of diameter ≤2.5 μm [PM2.5] and NO2) using land-use regression models; and walkability using Walk Score (possible values 0-100). Medically diagnosed diabetes (~95% type-2), heart disease and stroke were self-reported in the Australian Census (2021). Multivariable regression was used to model associations between environmental exposures and area-level (neighborhood) cardiometabolic disease prevalence (age group ≥45 years), with socioeconomic status, age and sex as covariates. Air pollution was examined as a mediator of associations between greenery and disease prevalence. RESULTS Our sample comprised 699 neighborhoods with the following mean (SD) values: Normalized Difference Vegetation Index 0.47 (0.09), PM2.5, 8.5 (0.6) μg/m3 and NO2, 5.2 (1.6) ppb. Disease prevalences were: heart disease, mean 8.9% (4.5%); diabetes, mean 10.3% (4.7%); and stroke, median 1.2% (range 0-10.9%). Greenery was negatively associated with diabetes (β = -5.85, 95% CI -9.53, -2.17) and stroke prevalence (β = -1.26, 95% CI -2.11, -0.42). PM2.5 and NO2 were positively associated with diabetes (β = 1.59, 95% CI 1.00, 2.18; β = 0.42, 95% CI 0.22, 0.62) and stroke prevalence (β = 0.15, 95% CI 0.01, 0.29; β = 0.06, 95% CI 0.01, 0.10). The association between greenery and diabetes was partially mediated by PM2.5 (mediated effect -5.38, 95% CI -7.84, -3.03). CONCLUSIONS Greenery and air pollutants were associated with lower and higher prevalence, respectively, of self-reported diabetes and, to a lesser extent, stroke. These ecological findings require further exploration with stronger, longitudinal study designs to inform public health policy and directions. Geriatr Gerontol Int 2024; 24: 208-214.
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Affiliation(s)
- Alison Carver
- National Centre for Healthy AgeingMelbourneVictoriaAustralia
- Peninsula Clinical School, Central Clinical school, Faculty of MedicineMonash UniversityMelbourneVictoriaAustralia
- Peninsula HealthMelbourneVictoriaAustralia
| | - Richard Beare
- National Centre for Healthy AgeingMelbourneVictoriaAustralia
- Peninsula Clinical School, Central Clinical school, Faculty of MedicineMonash UniversityMelbourneVictoriaAustralia
- Peninsula HealthMelbourneVictoriaAustralia
- Developmental ImagingMurdoch Children's Research InstituteMelbourneVictoriaAustralia
| | - Luke D Knibbs
- School of Public HealthThe University of SydneySydneyNew South WalesAustralia
- Public Health Research Analytics and Methods for Evidence, Public Health UnitSydney Local Health DistrictCamperdownNew South WalesAustralia
| | - Suzanne Mavoa
- Environmental Protection AuthorityMelbourneVictoriaAustralia
| | - Kaya Grocott
- University of MelbourneMelbourneVictoriaAustralia
| | | | - Velandai Srikanth
- National Centre for Healthy AgeingMelbourneVictoriaAustralia
- Peninsula Clinical School, Central Clinical school, Faculty of MedicineMonash UniversityMelbourneVictoriaAustralia
- Peninsula HealthMelbourneVictoriaAustralia
| | - Nadine E Andrew
- National Centre for Healthy AgeingMelbourneVictoriaAustralia
- Peninsula Clinical School, Central Clinical school, Faculty of MedicineMonash UniversityMelbourneVictoriaAustralia
- Peninsula HealthMelbourneVictoriaAustralia
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Alari A, Ranzani O, Olmos S, Milà C, Rico A, Ballester J, Basagaña X, Dadvand P, Duarte-Salles T, Nieuwenhuijsen M, Vivanco-Hidalgo RM, Tonne C. Short-term exposure to air pollution and hospital admission after COVID-19 in Catalonia: the COVAIR-CAT study. Int J Epidemiol 2024; 53:dyae041. [PMID: 38514998 DOI: 10.1093/ije/dyae041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 03/01/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND A growing body of evidence has reported positive associations between long-term exposure to air pollution and poor COVID-19 outcomes. Inconsistent findings have been reported for short-term air pollution, mostly from ecological study designs. Using individual-level data, we studied the association between short-term variation in air pollutants [nitrogen dioxide (NO2), particulate matter with a diameter of <2.5 µm (PM2.5) and a diameter of <10 µm (PM10) and ozone (O3)] and hospital admission among individuals diagnosed with COVID-19. METHODS The COVAIR-CAT (Air pollution in relation to COVID-19 morbidity and mortality: a large population-based cohort study in Catalonia, Spain) cohort is a large population-based cohort in Catalonia, Spain including 240 902 individuals diagnosed with COVID-19 in the primary care system from 1 March until 31 December 2020. Our outcome was hospitalization within 30 days of COVID-19 diagnosis. We used individual residential address to assign daily air-pollution exposure, estimated using machine-learning methods for spatiotemporal prediction. For each pandemic wave, we fitted Cox proportional-hazards models accounting for non-linear-distributed lagged exposure over the previous 7 days. RESULTS Results differed considerably by pandemic wave. During the second wave, an interquartile-range increase in cumulative weekly exposure to air pollution (lag0_7) was associated with a 12% increase (95% CI: 4% to 20%) in COVID-19 hospitalizations for NO2, 8% (95% CI: 1% to 16%) for PM2.5 and 9% (95% CI: 3% to 15%) for PM10. We observed consistent positive associations for same-day (lag0) exposure, whereas lag-specific associations beyond lag0 were generally not statistically significant. CONCLUSIONS Our study suggests positive associations between NO2, PM2.5 and PM10 and hospitalization risk among individuals diagnosed with COVID-19 during the second wave. Cumulative hazard ratios were largely driven by exposure on the same day as hospitalization.
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Affiliation(s)
- Anna Alari
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Otavio Ranzani
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Sergio Olmos
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Carles Milà
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Alex Rico
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Joan Ballester
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
| | - Xavier Basagaña
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Payam Dadvand
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | | | - Cathryn Tonne
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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Elmohr MM, Javed Z, Dubey P, Jordan JE, Shah L, Nasir K, Rohren EM, Lincoln CM. Social Determinants of Health Framework to Identify and Reduce Barriers to Imaging in Marginalized Communities. Radiology 2024; 310:e223097. [PMID: 38376404 PMCID: PMC10902599 DOI: 10.1148/radiol.223097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 09/20/2023] [Accepted: 09/25/2023] [Indexed: 02/21/2024]
Abstract
Social determinants of health (SDOH) are conditions influencing individuals' health based on their environment of birth, living, working, and aging. Addressing SDOH is crucial for promoting health equity and reducing health outcome disparities. For conditions such as stroke and cancer screening where imaging is central to diagnosis and management, access to high-quality medical imaging is necessary. This article applies a previously described structural framework characterizing the impact of SDOH on patients who require imaging for their clinical indications. SDOH factors can be broadly categorized into five sectors: economic stability, education access and quality, neighborhood and built environment, social and community context, and health care access and quality. As patients navigate the health care system, they experience barriers at each step, which are significantly influenced by SDOH factors. Marginalized communities are prone to disparities due to the inability to complete the required diagnostic or screening imaging work-up. This article highlights SDOH that disproportionately affect marginalized communities, using stroke and cancer as examples of disease processes where imaging is needed for care. Potential strategies to mitigate these disparities include dedicating resources for clinical care coordinators, transportation, language assistance, and financial hardship subsidies. Last, various national and international health initiatives are tackling SDOH and fostering health equity.
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Affiliation(s)
- Mohab M. Elmohr
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Zulqarnain Javed
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Prachi Dubey
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - John E. Jordan
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Lubdha Shah
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Khurram Nasir
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Eric M. Rohren
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
| | - Christie M. Lincoln
- From the Department of Radiology, Baylor College of Medicine, Houston, 1 Baylor Plaza, BCM 360, Houston, TX 77030 (M.M.E., E.M.R.); Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Tex (Z.J., K.N.); Houston Radiology Associates, Houston Methodist Hospital, Houston, Tex (P.D.); ACR Commission on Neuroradiology, American College of Radiology, Reston, Va (J.E.J.); Department of Radiology, Division of Neuroimaging and Neurointervention, Stanford University School of Medicine, Stanford, Calif (J.E.J.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (L.S.); Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Tex (K.N.); Center for Cardiovascular Computational Health & Precision Medicine (C3-PH), Houston Methodist Hospital, Houston, Tex (K.N.); and Department of Neuroradiology, Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Tex (C.M.L.)
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Cerceo E, Saxer K, Grossman L, Shapley-Quinn K, Feldman-Winter L. The Climate Crisis and Breastfeeding: Opportunities for Resilience. J Hum Lact 2024; 40:33-50. [PMID: 38158719 DOI: 10.1177/08903344231216726] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
The climate crisis is an emerging global challenge that poses potential risks to breastfeeding practices and outcomes. There are multifaceted effects of climate change affecting the breastfeeding dyad across environmental, societal, and human health dimensions. Breastfeeding support in the face of climate change will require solutions at the structural level-healthcare, community, and workplace settings-and at the mother-infant dyad level. Breastfeeding can additionally be an adaptive response to crisis situations and can mitigate some of the environmental challenges associated with climate change. Despite the undeniable significance of climate change on breastfeeding (and vice versa), our perspective as experts in the field is that this topic has not been systematically addressed. Although we highlight some of the challenges, potential solutions, and co-benefits of breastfeeding in the context of climate change, there are numerous issues that could be further explored and necessitate additional preparedness planning.
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Affiliation(s)
- Elizabeth Cerceo
- Cooper University Healthcare, Cooper Medical School of Rowan University, Camden, NJ, USA
| | | | - Lauren Grossman
- General Internal Medicine and Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | | | - Lori Feldman-Winter
- Cooper University Healthcare, Cooper Medical School of Rowan University, Camden, NJ, USA
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Lasek-Bal A, Rybicki W, Student S, Puz P, Krzan A, Derra A. Direct Exposure to Outdoor Air Pollution Worsens the Functional Status of Stroke Patients Treated with Mechanical Thrombectomy. J Clin Med 2024; 13:746. [PMID: 38337439 PMCID: PMC10856015 DOI: 10.3390/jcm13030746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/14/2024] [Accepted: 01/24/2024] [Indexed: 02/12/2024] Open
Abstract
Background The effect of air pollutants on the functional status of stroke patients in short-term follow-up is unknown. The aim of this study was to evaluate the effect of air pollution occurring in the stroke period and during hospitalization on the functional status of patients undergoing mechanical thrombectomy (MT). Methods Our study included stroke patients for which the individual-level exposure to ambient levels of O3, CO, SO2, NO2, PM2.5, and PM10 during the acute stroke period was assessed. The correlations between the air pollutants' concentration and the patients' functional state were analyzed. A total of 499 stroke patients (mean age: 70) were qualified. Results The CO concentration at day of stroke onset was found to be significant regarding the functional state of patients on the 10th day (OR 0.014 95% CI 0-0.908, p = 0.048). The parameters which increased the risk of death in the first 10 days were as follows: NIHSS (OR 1.27; 95% CI 1.15-1.42; p < 0.001), intracranial bleeding (OR 4.08; 95% CI 1.75-9.76; p = 0.001), and SO2 concentration on day 2 (OR 1.21; 95% CI 1.02-1.47; p = 0.03). The parameters which increased the mortality rate within 90 days include age (OR 1.07; 95% CI 1.02-1.13; p = 0.005) and NIHSS (OR 1.37; 95% CI 1.19-1.63; p < 0.001). Conclusions Exposure to air pollution with CO and SO2 during the acute stroke phase has adverse effects on the patients' functional status. A combination of parameters, such as neurological state, hemorrhagic transformation, and SO2 exposure, is unfavorable in terms of the risk of death during a hospitalization due to stroke. The risk of a worsened functional status of patients in the first month of stroke rises along with the increase in particulate matter concentrations within the first days of stroke.
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Affiliation(s)
- Anetta Lasek-Bal
- Department of Neurology, School of Health Sciences, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; (P.P.); (A.K.)
- Department of Neurology, Upper-Silesian Medical Centre of the Silesian Medical University in Katowice, 40-635 Katowice, Poland; (W.R.); (A.D.)
| | - Wiktor Rybicki
- Department of Neurology, Upper-Silesian Medical Centre of the Silesian Medical University in Katowice, 40-635 Katowice, Poland; (W.R.); (A.D.)
| | - Sebastian Student
- Faculty of Automatic Control Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, Poland;
- Biotechnology Center, Silesian University of Technology, 44-100 Gliwice, Poland
| | - Przemysław Puz
- Department of Neurology, School of Health Sciences, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; (P.P.); (A.K.)
- Department of Neurology, Upper-Silesian Medical Centre of the Silesian Medical University in Katowice, 40-635 Katowice, Poland; (W.R.); (A.D.)
| | - Aleksandra Krzan
- Department of Neurology, School of Health Sciences, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; (P.P.); (A.K.)
- Department of Neurology, Upper-Silesian Medical Centre of the Silesian Medical University in Katowice, 40-635 Katowice, Poland; (W.R.); (A.D.)
| | - Aleksandra Derra
- Department of Neurology, Upper-Silesian Medical Centre of the Silesian Medical University in Katowice, 40-635 Katowice, Poland; (W.R.); (A.D.)
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Gassel CJ, Andris W, Poli S, Bartz-Schmidt KU, Dimopoulos S, Wenzel DA. Incidence of central retinal artery occlusion peaks in winter season. Front Neurol 2024; 15:1342491. [PMID: 38318439 PMCID: PMC10839045 DOI: 10.3389/fneur.2024.1342491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/08/2024] [Indexed: 02/07/2024] Open
Abstract
Introduction Stroke incidence exhibits seasonal trends, with the highest occurrences observed during winter. This study investigates the incidence of central retinal artery occlusion (CRAO), a stroke equivalent of the retina, and explores its monthly and seasonal variations, as well as potential associations with weather and ambient air pollutants. Methods A retrospective search of medical records spanning 15 years (January 2008-December 2022) was conducted at the University Eye Hospital Tübingen, Germany, focusing on diagnosed cases of CRAO. Incidences were evaluated on a monthly and seasonal basis (winter, spring, summer, fall). Weather data (temperature, precipitation, atmospheric pressure) and concentrations of ambient air pollutants [fine particulate matter (PM2.5), coarse particulate matter (PM10), nitrogen dioxide (NO2), and ozone (O3)], were analyzed for a potential association with CRAO incidence. Results Out of 432 patients diagnosed with CRAO between 2008 and 2022, significantly varying incidences were observed monthly (p = 0.025) and seasonally (p = 0.008). The highest rates were recorded in February and winter, with the lowest rates in June and summer. Concentrations of NO2, PM2.5 and lower ambient air temperature (average, minimum, maximum) showed significant correlations with CRAO incidence. Discussion This comprehensive 15-year analysis reveals a pronounced winter peak in CRAO incidence, with the lowest occurrences in summer. Potential associations between CRAO incidence and ambient air pollutants and temperature underscore the importance of considering seasonal trends and call for further investigations to elucidate contributing factors, potentially leading to targeted preventive strategies and public health interventions.
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Affiliation(s)
- Caroline J. Gassel
- University Eye Hospital, Centre for Ophthalmology, University Hospital Tübingen, Tübingen, Germany
| | - Wolfgang Andris
- University Eye Hospital, Centre for Ophthalmology, University Hospital Tübingen, Tübingen, Germany
| | - Sven Poli
- Department of Neurology and Stroke, University Hospital Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Tübingen, Germany
| | | | - Spyridon Dimopoulos
- University Eye Hospital, Centre for Ophthalmology, University Hospital Tübingen, Tübingen, Germany
| | - Daniel A. Wenzel
- University Eye Hospital, Centre for Ophthalmology, University Hospital Tübingen, Tübingen, Germany
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Henning RJ. Particulate Matter Air Pollution is a Significant Risk Factor for Cardiovascular Disease. Curr Probl Cardiol 2024; 49:102094. [PMID: 37734693 DOI: 10.1016/j.cpcardiol.2023.102094] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 09/23/2023]
Abstract
Air pollution is responsible worldwide for 9-12 million deaths annually. The major contributor to air pollution is particulate matter ≤2.5 µg per cubic meter of air (PM2.5) from vehicles, industrial emissions, and wildfire smoke. United States ambient air standards recommend annual average PM2.5 concentrations of ≤12 μg/m³ while European standards allow an average annual PM2.5 concentration of ≤20 μg/m3. However, significant PM2.5 cardiovascular and pulmonary health risks exist below these concentrations. Chronic PM2.5 exposure significantly increases major cardiovascular and pulmonary event risks in Americans by 8 to more than 20% for each 10-μg/m3 increase in PM2.5. PM2.5-induced increases in lipid peroxidation, induction of vascular inflammation and endothelial cell injury initiate and propagate respiratory diseases, coronary and carotid atherosclerosis. PM2.5 can cause atherosclerotic vascular plaque rupture and myocardial infarction and stroke by activating metalloproteinases. This article discusses PM2.5 effects on the cardiovascular and pulmonary systems, specific PM2.5 pathophysiologic mechanisms contributing to cardiopulmonary disease, and preventive measures to limit the cardiovascular and pulmonary effects of PM2.5.
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Hamad AKS. Environmental Factors, Occupational Hazards, and Seasonal Changes: Unveiling the Triggers of Atrial Fibrillation. Cardiovasc Hematol Disord Drug Targets 2024; 24:228-242. [PMID: 39648419 DOI: 10.2174/011871529x335166241203183331] [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: 06/30/2024] [Revised: 10/04/2024] [Accepted: 10/14/2024] [Indexed: 12/10/2024]
Abstract
INTRODUCTION Atrial Fibrillation (AF) is the most common cardiac arrhythmia in the world, with a lifetime risk of 26% for men and 23% for women. AF is a prevalent cardiac arrhythmia that is more common with increasing age. Globally, around 33.5 million people are estimated to have AF, which is anticipated to rise as the population ages. Although effective therapeutic methods exist, they are costly for the healthcare system. METHODS The search was conducted across multiple databases, including Medline, PubMed, and Google Scholar, as well as through manual searches of recognized publications and their bibliographies. Identifying modifiable risk factors for AF and implementing appropriate preventative measures may significantly improve public health and reduce healthcare costs. The development of AF has been reported to be associated with various causes, including electrical and structural changes in the atrial tissue. RESULTS This article has reviewed how environmental factors, occupational hazards, and seasonal variability can affect AF. The incidence and prevalence of AF have been increasing, leading to a high lifetime risk for individuals. The available evidence indicates that seasonal variation, environmental factors, such as noise and air pollution, type of job, and altitude are all associated with an increased risk of developing AF. Although the exact mechanisms underlying these associations remain unclear, it is likely that a combination of factors, including changes in autonomic tone, inflammation, and oxidative stress, play a role. CONCLUSION This review has highlighted the significance of assuming the role of environmental and occupational factors in the development of AF.
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Affiliation(s)
- Adel Khalifa Sultan Hamad
- Department of Electrophysiology, Mohammed bin Khalifa bin Salman Al Khalifa Cardiac Centre, Awali, Kingdom of Bahrain
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Ma Y, Zhang J, Li D, Tang L, Li Y, Cui F, Wang J, Wen C, Yang J, Tian Y. Genetic Susceptibility Modifies Relationships Between Air Pollutants and Stroke Risk: A Large Cohort Study. Stroke 2024; 55:113-121. [PMID: 38134266 DOI: 10.1161/strokeaha.123.044284] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 11/15/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND The extent to which genetic susceptibility modifies the associations between air pollutants and the risk of incident stroke is still unclear. This study was designed to investigate the separate and joint associations of long-term exposure to air pollutants and genetic susceptibility on stroke risk. METHODS The participants of this study were recruited by the UK Biobank between 2006 and 2010. These participants were followed up from the enrollment until the occurrence of stroke events or censoring of data. Hazard ratios (HRs) and 95% CIs for stroke events associated with long-term exposure to air pollutants were estimated by fitting both crude and adjusted Cox proportional hazards models. Additionally, the polygenic risk score was calculated to estimate whether the polygenic risk score modifies the associations between exposure to air pollutants and incident stroke. RESULTS A total of 502 480 subjects were included in this study. After exclusion, 452 196 participants were taken into the final analysis. During a median follow-up time of 11.7 years, 11 334 stroke events were observed, with a mean age of 61.60 years, and men accounted for 56.2% of the total cases. Long-term exposures to particulate matter with an aerodynamic diameter smaller than 2.5 µm (adjusted HR, 1.70 [95% CI, 1.43-2.03]) or particulate matter with an aerodynamic diameter smaller than 10 µm (adjusted HR, 1.50 [95% CI, 1.36-1.66]), nitrogen dioxide (adjusted HR, 1.10 [95% CI, 1.07-1.12]), and nitrogen oxide (adjusted HR, 1.04 [95% CI, 1.02-1.05]) were pronouncedly associated with increased risk of stroke. Meanwhile, participants with high genetic risk and exposure to high air pollutants had ≈45% (31%, 61%; particulate matter with an aerodynamic diameter smaller than 2.5 µm), 48% (33%, 65%; particulate matter with an aerodynamic diameter smaller than 10 µm), 51% (35%, 69%; nitrogen dioxide), and 39% (25%, 55%; nitrogen oxide) higher risk of stroke compared with those with low genetic risk and exposure to low air pollutants, respectively. Of note, we observed additive and multiplicative interactions between genetic susceptibility and air pollutants on stroke events. CONCLUSIONS Chronic exposure to air pollutants was associated with an increased risk of stroke, especially in populations at high genetic risk.
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Affiliation(s)
- Yudiyang Ma
- Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating) (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Zhang
- Department of Cardiology, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People's Hospital (J.Z., J.Y.)
- Institute of Cardiovascular Diseases, China Three Gorges University, Yichang (J.Z., J.Y.)
- Hubei Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China (J.Z., J.Y.)
| | - Dankang Li
- Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating) (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linxi Tang
- Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating) (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yimeng Li
- Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating) (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Chronic Disease Epidemiology, School of Public Health, Yale University, New Haven, CT (Y.L.)
| | - Feipeng Cui
- Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating) (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianing Wang
- Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating) (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chen Wen
- School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan, China (C.W.)
| | - Jian Yang
- Department of Cardiology, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People's Hospital (J.Z., J.Y.)
- Institute of Cardiovascular Diseases, China Three Gorges University, Yichang (J.Z., J.Y.)
- Hubei Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China (J.Z., J.Y.)
| | - Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating) (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Maternal and Child Health (Y.M., D.L., L.T., F.C., J.W., Y.T.), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Zhou Y, Jin Y, Zhang Z. Short-term exposure to nitrogen dioxide and emergency department visits for cause-stroke: a time-series study in Shanghai, China, 2013-2022. Environ Health Prev Med 2024; 29:67. [PMID: 39647864 PMCID: PMC11631555 DOI: 10.1265/ehpm.24-00304] [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: 09/19/2024] [Accepted: 11/01/2024] [Indexed: 12/10/2024] Open
Abstract
BACKGROUND The association between air pollution and an increased risk of cardiovascular diseases, including stroke, is well-established. However, it remains unclear how reductions in pollutant levels-resulting from clean air policies and the COVID-19 lockdown-affect this relationship. METHODS A time-series study was conducted using data from Shanghai, China, spanning from 2013 to 2022, divided into two periods (2013-2019 and 2020-2022). Daily air pollution data were obtained from China's air quality platform, while stroke emergency department (ED) visits were sourced from Renhe Hospital. We employed quasi-Poisson regression to analyze the relationship between daily pollutant levels and stroke ED visits, with stratified analyses by sex, age, season, and period. The study identified significant reductions in six pollutants (PM2.5, PM10-2.5, PM10, SO2, NO2, CO) during the 2020-2022 period compared to 2013-2019. RESULTS Significant reductions in six air pollutants (NO2, PM2.5, PM10-2.5, PM10, SO2, CO) were observed during 2020-2022 compared to 2013-2019. Higher daily NO2 levels were associated with an increased risk of stroke and its subtypes throughout the study, with a stronger correlation observed in the 2020-2022 period (P < 0.001). Subgroup analyses indicated that females and individuals aged 65-74 experienced the highest risks. The elevated stroke risk was particularly pronounced in the summer during 2020-2022. A two-factor model demonstrated that combined exposure to NO2 and other pollutants increased stroke risk. CONCLUSIONS This study heightened that reduced NO2 levels generally mitigate the adverse effects of short-term exposure to air pollutants on stroke risk, although the benefits vary among subgroups. The persistent stroke risk despite lower pollutant levels underscores the complex factors influencing stroke risk, highlighting the need for comprehensive intervention strategies.
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Affiliation(s)
- Yonghong Zhou
- Affiliated Renhe Hospital of Shanghai University (Renhe Hospital, Baoshan District), School of Medicine, Shanghai University, Shanghai, China
| | - Yi Jin
- Department of Radiation Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Zheng Zhang
- Affiliated Renhe Hospital of Shanghai University (Renhe Hospital, Baoshan District), School of Medicine, Shanghai University, Shanghai, China
- Service of Endocrinology, Affiliated Renhe Hospital of Shanghai University (Renhe Hospital, Baoshan District), Shanghai, China
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Mustaqe P, Dimopoulos P, Dogjani A, Leivaditis V, Akrida I, Panagiotopoulos I, Katinioti A, Kostopoulou IE, Antzoulas A, Bouchagier K, Papadoulas S, Mulita F. Prevalence of stroke-related risk factors in Albania: a single-center experience. Arch Med Sci Atheroscler Dis 2023; 8:e123-e127. [PMID: 38283926 PMCID: PMC10811531 DOI: 10.5114/amsad/176811] [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: 11/30/2023] [Accepted: 12/12/2023] [Indexed: 01/30/2024] Open
Abstract
Introduction Stroke, a prominent global cause of mortality and disability, is broadly categorized into ischemic and hemorrhagic types. An epidemiological survey of stroke and its risk factors can help identify individuals at higher risk and therefore promote stroke prevention strategies. The aim of this study was to estimate the current prevalence of stroke and evaluate stroke-associated risk factors in Albania. Material and methods This was a single-center retrospective analysis conducted in Albania for the period from May 2015 to September 2021. Data were collected retrospectively through hospital records. Stroke was defined as sudden onset of a nonconvulsive and focal neurological deficit, and ischemic stroke was diagnosed using brain computed tomography (CT), magnetic resonance (MR) imaging, or both. We examined patient history characteristics encompassing demographics, stroke history, conventional vascular risk factors, and lifestyle-related risk factors. Results The mean age of the 3860 patients was 74.6 ±10.4 years, and 73.5% were men. The prevalence of carotid stenosis, arrhythmia, obesity, and hypertension was significantly higher in males than in females (p < 0.001). Out of the 3860 patients in the study cohort, 641 (16.6%) subjects died, while 335 (8.7%) patients achieved complete recovery. Hemiparesis was observed in 386 (10%) patients and hemiplegia in 868 (22.4%) patients. Conclusions Our analysis underscores the male predominance (2.2 : 1) in stroke cases. Carotid and vertebral artery stenosis is a significant factor, emphasizing the life-saving potential of early intervention. Social and economic factors in Albania pose challenges, demanding comprehensive strategies. Prospective trials are crucial to explore intervention efficacy, and timing, and address socioeconomic impacts on timely stroke management.
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Affiliation(s)
- Petraq Mustaqe
- Department of Vascular Surgery, General Hospital of Vlore, Vlore, Albania
| | - Platon Dimopoulos
- Department of Radiology, General University Hospital of Patras, Patras, Greece
| | - Agron Dogjani
- Department of General Surgery, University of Medicine, Tirana, Tirana, Albania
| | - Vasileios Leivaditis
- Department of Cardiothoracic and Vascular Surgery, Westpfalz-Klinikum, Kaiserslautern, Germany
| | - Ioanna Akrida
- Department of Surgery, General University Hospital of Patras, Patras, Greece
| | | | | | | | - Andreas Antzoulas
- Department of Surgery, General University Hospital of Patras, Patras, Greece
| | | | - Spyros Papadoulas
- Department of Vascular Surgery, General University Hospital of Patras, Patras, Greece
| | - Francesk Mulita
- Department of Surgery, General University Hospital of Patras, Patras, Greece
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Qian Y, Cai R, Su X, Li Q, Jin S, Shi W, Chen R, Wang C, He J. Residential Nitrogen Dioxide Exposure and Cause-Specific Cerebrovascular Mortality: An Individual-Level, Case-Crossover Study. TOXICS 2023; 12:10. [PMID: 38250966 PMCID: PMC10818787 DOI: 10.3390/toxics12010010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Existing studies have already shown a connection between nitrogen dioxide (NO2) exposure and cerebrovascular mortality. However, the differential effects of NO2 on cerebrovascular disease and its subtypes remain unclear and require further exploration. METHODS Daily stroke mortality data between 2013 and 2021 in Shanghai, China were collected. Residential daily air pollution data for each decedent were predicted from a satellite model. An individual-level, time-stratified, case-crossover design was applied to examine the relationship between NO2 exposure and cerebrovascular mortality. A combination of conditional logistic regression and distributed lag models with a maximum lag of 7 days was used for data analysis. RESULTS A total of 219,147 cases of cerebrovascular mortality were recorded. Among them, the proportion of sequelae of cerebrovascular disease, hemorrhagic stroke and ischemic stroke was 50.7%, 17.1% and 27.5%, respectively. The monotonic increases in mortality risks of cerebrovascular diseases, sequelae of cerebrovascular disease and ischemic stroke were observed, without any discernible thresholds. Each 10 μg/m3 increase in NO2 concentration was associated with increments of 3.62% [95% confidence interval (CI): 2.56%, 4.69%] for total cerebrovascular mortality, 4.29% (95% CI: 2.81%, 5.80%) for sequelae of cerebrovascular disease mortality and 4.30% (95% CI: 2.30%, 6.33%) for ischemic stroke mortality. No positive associations between NO2 exposure and hemorrhagic stroke mortality were observed. A greater risk of NO2 was observed in the warm season, in patients with less than 9 years of education and in those with single marital status. The effects of NO2 were robust to mutual adjustment of co-pollutants. CONCLUSIONS Short-term exposures to NO2 may increase the risk of cerebrovascular mortality, specifically for ischemic stroke and sequelae of cerebrovascular disease.
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Affiliation(s)
- Yifeng Qian
- Department of Health Statistics, Naval Medical University, Shanghai 200433, China
- Department of Oral and Craniomaxillofacial Surgery, Shanghai Ninth People’s Hospital, College of Stomatology, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Renzhi Cai
- Division of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Xiaozhen Su
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Qi Li
- Division of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Shan Jin
- Division of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Wentao Shi
- Clinical Research Unit, School of Medicine, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University, Shanghai 200011, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Chunfang Wang
- Division of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Jia He
- Department of Health Statistics, Naval Medical University, Shanghai 200433, China
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Moderato L, Aschieri D, Lazzeroni D, Rossi L, Biagi A, Binno SM, Monello A, Pelizzoni V, Sticozzi C, Zanni A, Capucci A, Nani S, Ardissino D, Nicolini F, Niccoli G. Air pollution and out-of-hospital cardiac arrest risk: a 7-year study from a highly polluted area. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2023; 12:810-817. [PMID: 37708418 DOI: 10.1093/ehjacc/zuad105] [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: 07/18/2023] [Revised: 08/28/2023] [Accepted: 08/31/2023] [Indexed: 09/16/2023]
Abstract
AIMS Globally, nearly 20% of cardiovascular disease deaths were attributable to air pollution. Out-of-hospital cardiac arrest (OHCA) represents a major public health problem; therefore, the identification of novel OHCA triggers is of crucial relevance. The aim of the study was to evaluate the association between air pollution (short-, mid-, and long-term exposures) and OHCA risk, during a 7-year period in a highly polluted urban area in northern Italy, with a high density of automated external defibrillators (AEDs). METHODS AND RESULTS Out-of-hospital cardiac arrests were prospectively collected from the 'Progetto Vita Database' between 1 January 2010 and 31 December 2017; day-by-day air pollution levels were extracted from the Environmental Protection Agency stations. Electrocardiograms of OHCA interventions were collected from the AED data cards. Day-by-day particulate matter (PM) 2.5 and 10, ozone (O3), carbon monoxide (CO), and nitrogen dioxide (NO2) levels were measured. A total of 880 OHCAs occurred in 748 days. A significant increase in OHCA risk with a progressive increase in PM2.5, PM10, CO, and NO2 levels was found. After adjustment for temperature and seasons, a 9% and 12% increase in OHCA risk for each 10 μg/m3 increase in PM10 (P < 0.0001) and PM2.5 (P < 0.0001) levels was found. Air pollutant levels were associated with both asystole and shockable rhythm risk, while no correlation was found with pulseless electrical activity. CONCLUSION Short- and mid-term exposures to PM2.5 and PM10 are independently associated with the risk of OHCA due to asystole or shockable rhythm.
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Affiliation(s)
- Luca Moderato
- Department of Cardiology, 'Guglielmo da Saliceto' Hospital, Via Taverna 49, 29121 Piacenza, Italy
| | - Daniela Aschieri
- Department of Cardiology, 'Guglielmo da Saliceto' Hospital, Via Taverna 49, 29121 Piacenza, Italy
| | - Davide Lazzeroni
- Prevention and Rehabilitation Unit, IRCCS Fondazione Don Gnocchi, Piazzale dei Servi 3, 43100 Parma, Italy
| | - Luca Rossi
- Department of Cardiology, 'Guglielmo da Saliceto' Hospital, Via Taverna 49, 29121 Piacenza, Italy
| | - Andrea Biagi
- Department of Cardiology, 'Guglielmo da Saliceto' Hospital, Via Taverna 49, 29121 Piacenza, Italy
| | - Simone Maurizio Binno
- Department of Cardiology, 'Guglielmo da Saliceto' Hospital, Via Taverna 49, 29121 Piacenza, Italy
| | - Alberto Monello
- Department of Cardiology, 'Guglielmo da Saliceto' Hospital, Via Taverna 49, 29121 Piacenza, Italy
| | - Valentina Pelizzoni
- Department of Cardiology, 'Guglielmo da Saliceto' Hospital, Via Taverna 49, 29121 Piacenza, Italy
| | - Concetta Sticozzi
- Department of Cardiology, 'Guglielmo da Saliceto' Hospital, Via Taverna 49, 29121 Piacenza, Italy
| | - Alessia Zanni
- Department of Cardiology, Baggiovara General Hospital, Via Pietro Giardini 1355, 41126 Baggiovara, Italy
| | | | - Stefano Nani
- Emergency Department, 'Guglielmo da Saliceto' Hospital, Via Taverna 49, 29121 Piacenza, Italy
| | - Diego Ardissino
- Department of Medicine and Surgery, University of Parma, Via Gramsci, 14, 43126 Parma, Italy
| | - Francesco Nicolini
- Department of Medicine and Surgery, University of Parma, Via Gramsci, 14, 43126 Parma, Italy
| | - Giampaolo Niccoli
- Department of Medicine and Surgery, University of Parma, Via Gramsci, 14, 43126 Parma, Italy
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Zhu F, Yu H, Fan X, Ding Z, Wang Q, Zhou J. Particulate air pollution and cardiovascular disease mortality in Jiangsu Province, China: a time-series analysis between 2015 and 2021. Front Public Health 2023; 11:1218479. [PMID: 38174084 PMCID: PMC10761421 DOI: 10.3389/fpubh.2023.1218479] [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: 05/07/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
Introduction Previous time-series studies have revealed a positive association between particulate matter (PM) and acute cardiovascular effects. However, the evidence mostly comes from developed countries and regions, while the majority of air-pollution-related deaths occur in developing countries. To assess the effect of short-term exposure to PM on daily cause-specific cardiovascular disease (CVD) mortality in Jiangsu Province, China, we investigated 1,417,773 CVD deaths from 2015 to 2021 in Jiangsu. Methods The city-specific association was estimated using generalized additive models with quasi-Poisson regression, and then, random effects meta-analysis was performed to estimate the pooled provincial-average associations between acute exposure to PM2.5 and PM10 and cardiovascular disease mortality. To test the independence of PM from gaseous pollutants, we fitted two-pollutant models. Mortality data were also stratified by sex, age, and region to investigate the modification of associations. The exposure-response (E-R) curve from each city was combined using meta-analysis to drive the provincial-level E-R curve. Results The results showed that each 10-μg/m3 increase in the PM2.5 concentration was associated with a 0.723% [95% confidence interval (CI): 0.512, 0.935] increase in daily total CVD mortality, a 0.669% (95% CI: 0.461, 0.878) increase in CHD mortality, a 0.758% (95% CI: 0.584, 0.931) increase in stroke mortality, a 0.512% (95% CI: 0.245, 0.780) increase in ICH mortality, and a 0.876% (95% CI: 0.637, 1.116) increase in CI mortality. The corresponding increases in daily mortality rates for the same increase in the PM10 concentration were 0.424% (95% CI: 0.293, 0.556), 0.415% (95% CI: 0.228, 0.602), 0.444% (95% CI: 0.330, 0.559), 0.276% (95% CI: 0.026, 0.526), and 0.510% (95% CI: 0.353, 0.667), respectively. The association between PM and total CVD mortality remained significant after adjusting for gaseous pollutants. Females, older adults and districts with lower average PM levels are more sensitive, especially for PM10. The E-R curve for PM on CVD mortality is steeper at lower concentrations and flattens out at higher concentrations. The estimates remained generally consistent in sensitivity analyses when excluding the data during the COVID-19 pandemic period. Discussion Our time-series study provides evidence of positive associations between acute exposure to PM2.5 and PM10 and total and cause-specific cardiovascular disease mortality in developing countries.
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Affiliation(s)
- Fangyu Zhu
- Department of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Hao Yu
- Department of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xikang Fan
- Department of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Zhen Ding
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Qingqing Wang
- Department of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jinyi Zhou
- Department of Non-communicable Chronic Disease and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
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Ranjdoost F, Ghaffari ME, Azimi F, Mohammadi A, Fouladi-Fard R, Fiore M. Association between air pollution and sudden sensorineural hearing loss (SSHL): A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2023; 239:117392. [PMID: 37838197 DOI: 10.1016/j.envres.2023.117392] [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: 08/07/2023] [Revised: 09/23/2023] [Accepted: 10/11/2023] [Indexed: 10/16/2023]
Abstract
Recent studies have indicated that air pollution (AP) has harmful effects on hearing and ear diseases such as Sudden Sensorineural Hearing Loss (SSHL). The purpose of this study was to evaluate the impact of exposure to AP on SSHL incidence. Valid electronic databases were searched to retrieve studies published until December 1, 2022, using appropriate keywords. The result of the search was 1146 studies, and after screening according to the defined criteria, in total 8 studies were obtained. The risk of bias (ROB) in the studies and their quality were assessed. Finally, the meta-analysis with a significance level of 5% was performed. The findings revealed that the mean level of SO2, CO, NO2, and PM10 in the patient group was more than that of the control group, and p-values were 0.879, 0.144, 0.077, and 0.138, respectively. There was an indirect relation between air pollutants and SSHL, and PM2.5 showed a significant effect (p < 0.05). Given the limited research and the use of different statistical methods, more research is suggested to confirm this association and to determine the mechanisms by which AP exposure may cause SSHL.
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Affiliation(s)
- Fatemeh Ranjdoost
- Research Center for Environmental Pollutants, Department of Environmental Health Engineering, Faculty of Health, Qom University of Medical Sciences, Qom, Iran.
| | - Mohammad-Ebrahim Ghaffari
- Department of Epidemiology and Biostatistics, Faculty of Health, Qom University of Medical Sciences, Qom, Iran.
| | - Faramarz Azimi
- Environmental Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Amir Mohammadi
- Social Determinants of Health Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran; Department of Environmental Health Engineering, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran.
| | - Reza Fouladi-Fard
- Research Center for Environmental Pollutants, Department of Environmental Health Engineering, Faculty of Health, Qom University of Medical Sciences, Qom, Iran; Environmental Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Maria Fiore
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, 87-95123, Catania, Italy.
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Gudziunaite S, Shabani Z, Weitensfelder L, Moshammer H. Time series analysis in environmental epidemiology: challenges and considerations. Int J Occup Med Environ Health 2023; 36:704-716. [PMID: 37782034 PMCID: PMC10743348 DOI: 10.13075/ijomeh.1896.02237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/24/2023] [Indexed: 10/03/2023] Open
Abstract
In environmental epidemiology, time series analyses represent a widely used statistical tool. However, though being commonly used, there is soften confusion regarding the specific requirements, such as which link function might be most appropriate, when or how to control for seasonality or how to account for lags. The present overview draws from experiences in other disciplines and discusses the proper execution of time series analyses based on considerations that are relevant in environmental epidemiology. Time series analysis in environmental epidemiology focuses on acute events caused by short-term changes in exposure. These exposures should be fairly wide-spread affecting a large number of persons, usually all inhabitants of a political entity. Pollutants in air or drinking water as well as meteorological factors serve as typical examples. Despite the many time series analyses performed world-wide, some health effects that would lend themselves to that approach are still under-explored. This would include also some neurological and psychiatric endpoints. Int J Occup Med Environ Health. 2023;36(6):704-16.
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Affiliation(s)
- Sandra Gudziunaite
- Medical University of Vienna, Department of Environmental Health, Center for Public Health, Vienna, Austria
| | - Zana Shabani
- University of Hasan Pristina, Medical Faculty, Pristina, Kosovo
| | - Lisbeth Weitensfelder
- Medical University of Vienna, Department of Environmental Health, Center for Public Health, Vienna, Austria
| | - Hanns Moshammer
- Medical University of Vienna, Department of Environmental Health, Center for Public Health, Vienna, Austria
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71
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Wang W, Li S, Zhang T, Yin F, Ma Y. Detecting the spatial clustering of exposure-response relationships with estimation error: a novel spatial scan statistic. Biometrics 2023; 79:3522-3532. [PMID: 36964947 DOI: 10.1111/biom.13861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 02/25/2023] [Accepted: 03/15/2023] [Indexed: 03/27/2023]
Abstract
Detecting the spatial clustering of the exposure-response relationship (ERR) between environmental risk factors and health-related outcomes plays important roles in disease control and prevention, such as identifying highly sensitive regions, exploring the causes of heterogeneous ERRs, and designing region-specific health intervention measures. However, few studies have focused on this issue. A possible reason is that the commonly used cluster-detecting tool, spatial scan statistics, cannot be used for multivariate spatial datasets with estimation error, such as the ERR, which is often defined by a vector with its covariance estimated by a regression model. Such spatial datasets have been produced in abundance in the last decade, which suggests the importance of developing a novel cluster-detecting tool applicable for multivariate datasets with estimation error. In this work, by extending the classic scan statistic, we developed a novel spatial scan statistic called the estimation-error-based scan statistic (EESS), which is applicable for both univariate and multivariate datasets with estimation error. Then, a two-stage analytic process was proposed to detect the spatial clustering of ERRs in practical studies. A published motivating example and a simulation study were used to validate the performance of EESS. The results show that the clusters detected by EESS can efficiently reflect the clustering heterogeneity and yield more accurate ERR estimates by adjusting for such heterogeneity.
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Affiliation(s)
- Wei Wang
- West China School of Public Health and West China Fourth hospital, Sichuan University, Chengdu, China
| | - Sheng Li
- West China School of Public Health and West China Fourth hospital, Sichuan University, Chengdu, China
| | - Tao Zhang
- West China School of Public Health and West China Fourth hospital, Sichuan University, Chengdu, China
| | - Fei Yin
- West China School of Public Health and West China Fourth hospital, Sichuan University, Chengdu, China
| | - Yue Ma
- West China School of Public Health and West China Fourth hospital, Sichuan University, Chengdu, China
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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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: 8] [Impact Index Per Article: 4.0] [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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Surit P, Wongtanasarasin W, Boonnag C, Wittayachamnankul B. Association between air quality index and effects on emergency department visits for acute respiratory and cardiovascular diseases. PLoS One 2023; 18:e0294107. [PMID: 37972204 PMCID: PMC10653395 DOI: 10.1371/journal.pone.0294107] [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: 06/20/2022] [Accepted: 10/26/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Several studies suggest that air pollution, particularly PM2.5, increases morbidity and mortality, Emergency Department (ED) visits, and hospitalizations for acute respiratory and cardiovascular diseases. However, no prior study in Southeastern Asia (SEA) has examined the effects of air pollutants on ED visits and health outcomes. This study focused on the association of the Air Quality Index (AQI) of PM2.5 and other pollutants' effects on ED visits, hospitalization, and unexpected deaths due to acute respiratory disease, acute coronary syndrome (ACS), acute heart failure (AHF), and stroke. METHODS We conducted a retrospective study with daily data from ED visits between 2018 and 2019 at Maharaj Nakorn Chiang Mai Hospital, Chiang Mai, Thailand. The AQI of air pollution data was collected from outdoor air quality from the Smoke Haze Integrated Research Unit and the Air Quality Index Visual Map. A distributed lag, non-linear and quasi-Poisson models were used to explore the relationship between air quality parameters and ED visits for each disease. RESULTS 3,540 ED visits were recorded during the study period. The mean daily AQI of PM2.5 was 89.0 ± 40.2. We observed associations between AQI of PM2.5 and the ED visits due to ACS on the following day (RR = 1.023, 95% confidence interval [CI]: 1.002-1.044) and two days after exposure (RR = 1.026, 95% CI: 1.005-1.047). Also, subgroup analysis revealed the association between AQI of PM2.5 and the ED visits due to pneumonia on the current day (RR = 1.071, 95% CI: 1.025-1.118) and on the following day after exposure (RR = 1.024, 95% CI: 1.003-1.046). AQI of PM2.5 associated with increased mortality resulted from ACS on lag day 3 (OR = 1.36, 95% CI: 1.08-1.73). The AQI of PM10 is also associated with increased ED visits due to COPD/asthma and increased hospitalization in AHF. In addition, the AQI of O3 and AQI of NO2 is associated with increased ICU admissions and mortality in AHF. CONCLUSION Short-term PM2.5 exposure escalates ED visits for ACS and pneumonia. PM10's AQI associates with COPD/asthma ED visits and AHF hospitalizations. AQI of O3 and NO2's link to increased ICU admissions and AHF mortality. Urgent action against air pollution is vital to safeguard public health.
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Affiliation(s)
- Panumas Surit
- Department of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Wachira Wongtanasarasin
- Department of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Chiraphat Boonnag
- Department of Biochemistry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
- Biomedical Informatics Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Borwon Wittayachamnankul
- Department of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
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Doheny BM, Inglis JJ, Boll KA, Lunos S, Surapaneni VL. Short animated video increases knowledge and perceived comfort in clinical counseling on inequitable health impacts of air pollution among interprofessional health learners and clinicians. BMC MEDICAL EDUCATION 2023; 23:858. [PMID: 37953249 PMCID: PMC10642052 DOI: 10.1186/s12909-023-04785-1] [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: 07/09/2023] [Accepted: 10/18/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND Air pollution is a major health risk contributing to global morbidity and mortality, yet clinicians do not routinely engage in counseling patients on this topic. Clinicians cite their lack of education as a common barrier. We developed a two-minute animated video on mitigating air pollution health risks and evaluated the efficacy of this video as an educational tool. METHODS In March-June 2021, a convenience sample of Minnesota interprofessional health learners and clinicians viewed the video and completed an electronic survey that assessed pre-/post-video intervention changes in (a) didactic and clinically applied knowledge on health impacts of air pollution, (b) perceived comfort in identifying at-risk patients and counseling them on relevant preventive health behaviors, (c) intentions/barriers to counseling patients, (d) beliefs and attitudes related to the health harms of air pollution, and (e) perceptions of the overall acceptability of the intervention. RESULTS The 218 participants included learners and clinicians in medicine, nursing, and advanced practice provision. Respondents' knowledge scores and self-reported level of comfort in identifying high-risk patients and counseling them on preventative health behaviors increased significantly pre-/post-intervention. The video also effectively altered participants' misperceptions about the health impacts of air pollution. While less than half of participants (43.6%) reported they intended to engage in counseling patients as a result of watching the video, 52.3% indicated they might do so. Lack of time during clinical encounters and lack of training were reported as persistent barriers to engaging in this counseling. Overall, participants found the video to be an effective educational tool, indicating that they wanted their colleagues and patients to watch the video and would like to see further short, animated videos on other environmental health topics. CONCLUSIONS A two-minute animated educational video significantly improved knowledge of inequitable health impacts of air pollution and improved perceived comfort in identifying and counseling at-risk patients among health professional learners and clinicians regardless of profession, level of training, or pre-intervention knowledge level. Academic health professional training programs and health systems should consider adopting this modality as a tool for educating learners, clinicians, and patients on environmental health risks.
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Affiliation(s)
- Brenna M Doheny
- Department of Family Medicine and Biobehavioral Health, University of Minnesota Medical School, Duluth campus, 1035 University Drive, Duluth, MN, 55812-3031, USA.
| | - Jack J Inglis
- Hennepin Healthcare, 701 Park Avenue, MN, Minneapolis, 55415, USA
| | - Karly A Boll
- Hennepin Healthcare, 701 Park Avenue, MN, Minneapolis, 55415, USA
| | - Scott Lunos
- Biostatistical Design and Analysis Center, Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN, USA
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Toubasi A, Al-Sayegh TN. Short-term Exposure to Air Pollution and Ischemic Stroke: A Systematic Review and Meta-analysis. Neurology 2023; 101:e1922-e1932. [PMID: 37758483 PMCID: PMC10662999 DOI: 10.1212/wnl.0000000000207856] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 07/28/2023] [Indexed: 10/03/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Approximately 5 million fatalities occur annually due to stroke, along with its substantial effects on patient well-being and functional impairment. Research has established a connection between extended exposure to air pollutants and ischemic stroke. However, the link between short-term exposure to air pollutants and stroke remains less definitive. METHODS A comprehensive search was conducted on MEDLINE, Scopus, the Cochrane Central Register of Controlled Trials (CENTRAL), and Web of Sciences databases up until February 2023, without any language restrictions. The inclusion criteria encompassed observational or interventional studies that examined the correlation between short-term exposure to air pollutants (carbon monoxide [CO], sulfur dioxide [SO2], nitrogen dioxide [NO2], ozone [O3]) and particulate matter with diameters of less than 1 µm, less than 2.5 µm, or less than 10 µm (PM1, PM2.5, and PM10), with the incidence and mortality of ischemic stroke. Short-term exposure was defined as exposure occurring within 5 days of the onset of stroke. RESULTS A total of 18,035,408 cases of ischemic stroke were included in the analysis, derived from 110 observational studies. Asia accounted for most included studies, representing 58.8% of the total. By contrast, Europe and the Americas contributed 24.6% and 16.7% of the studies, respectively. Notably, none of the included studies were conducted in Africa. Stroke incidence was significantly associated with an increase in the concentration of NO2 (RR = 1.28; 95% CI 1.21-1.36), O3 (RR = 1.05; 95% CI 1.03-1.07), CO (RR = 1.26; 95% CI 1.21-1.32), SO2 (RR = 1.15; 95% CI 1.11-1.19), PM1 (RR = 1.09; 95% CI 1.06-1.12), PM2.5 (RR = 1.15; 95% CI 1.13-1.17), and PM10 (RR = 1.14; 95% CI 1.12-1.16). Moreover, an increase in the concentration of NO2 (RR = 1.33; 95% CI 1.07-1.65), SO2 (RR = 1.60; 95% CI 1.05-2.44), PM2.5 (RR = 1.09; 95% CI 1.04-1.15), and PM10 (RR = 1.02; 95% CI 1.00-1.04) was associated with an increase in stroke mortality. DISCUSSION There is a strong and significant correlation between gaseous and particulate air pollutants and the occurrence and mortality rates of stroke. This close temporal association underscores the importance of implementing global initiatives to develop policies aimed at reducing air pollution. By doing so, alleviate the burden of ischemic stroke and its consequences.
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Affiliation(s)
- Ahmad Toubasi
- From the Faculty of Medicine, the University of Jordan, Amman.
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Zhang Y, Shi J, Ma Y, Yu N, Zheng P, Chen Z, Wang T, Jia G. Association between Air Pollution and Lipid Profiles. TOXICS 2023; 11:894. [PMID: 37999546 PMCID: PMC10675150 DOI: 10.3390/toxics11110894] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/30/2023] [Accepted: 10/28/2023] [Indexed: 11/25/2023]
Abstract
Dyslipidemia is a critical factor in the development of atherosclerosis and consequent cardiovascular disease. Numerous pieces of evidence demonstrate the association between air pollution and abnormal blood lipids. Although the results of epidemiological studies on the link between air pollution and blood lipids are unsettled due to different research methods and conditions, most of them corroborate the harmful effects of air pollution on blood lipids. Mechanism studies have revealed that air pollution may affect blood lipids via oxidative stress, inflammation, insulin resistance, mitochondrial dysfunction, and hypothalamic hormone and epigenetic changes. Moreover, there is a risk of metabolic diseases associated with air pollution, including fatty liver disease, diabetes mellitus, and obesity, which are often accompanied by dyslipidemia. Therefore, it is biologically plausible that air pollution affects blood lipids. The overall evidence supports that air pollution has a deleterious effect on blood lipid health. However, further research into susceptibility, indoor air pollution, and gaseous pollutants is required, and the issue of assessing the effects of mixtures of air pollutants remains an obstacle for the future.
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Affiliation(s)
- Yi Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Jiaqi Shi
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Ying Ma
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Nairui Yu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Pai Zheng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Zhangjian Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Tiancheng Wang
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing 100191, China;
| | - Guang Jia
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; (Y.Z.); (J.S.); (Y.M.); (N.Y.); (P.Z.); (G.J.)
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
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77
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Retho E, Tasseng Y, Consigny M, Le Bourhis L, Leblanc A, Jourdain A, Merrien FM, Rouhart F, Viakhireva-Dovganyuk I, Goas P, Lavenant C, Bruguet M, Timsit S. Increased incidence of ischemic stroke in young: A population-based stroke registry study from 2008 to 2018. Rev Neurol (Paris) 2023; 180:S0035-3787(23)01080-9. [PMID: 39492280 DOI: 10.1016/j.neurol.2023.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 08/25/2023] [Accepted: 08/31/2023] [Indexed: 11/05/2024]
Abstract
BACKGROUND Studying changing patterns in stroke incidence is essential since strokes represent a burden for public health. The aim of our study was to evaluate the epidemiological trend of strokes from 2008 to 2018 in the population-based Brest Stroke Registry (BSR) focusing on patients under 60. METHODS All first-ever-stroke, patients aged 15 and older, with imaging, in the Pays-de-Brest from January 1st 2008 to December 31st 2017 were included. Cumulative incidence was calculated, by periods of two years, and temporal trends were evaluated by age group, sex, stroke subtype (ischemic or hemorrhagic) using a Poisson regression. Trends in stroke variables were specifically studied for young people. Ischemic stroke mechanism subtypes were analysed according to TOAST and SSS-TOAST classifications. RESULTS Over a 10-year study period, there were 6043 first-ever-strokes: 738 intracerebral hemorrhage (ICH) and 5305 ischemic strokes (IS). Mean age was 73.55±14.25years, 82.2% were older than 60 and 51.8% were women. IS incidence increased in young people from 30.4 [95% CI: 27.4; 33.8] to 37.3 [95% CI: 33.9; 41.0] per 100,000 inhabitants (P=0.0025). IS incidence≥60 decreased except for last studied period. ICH remained stable for older people but decreased in young from 5.6 [4.3; 7.1] to 2.8 [2.0; 4.0] per 100,000 inhabitants (P=0.0250). Under 60, the main risk factors were smoking (68.6%); hypertension (27.8%); high-alcohol intake (24.4%) and dyslipidemia (21%). Most IS were minor. Work-up in the IS young population was for the large majority brain magnetic resonance imaging (MRI) (74.5%); cardiac monitoring (80%): echocardiography (83.5%); and imaging of the neck vessels (89.9%). Among IS, 19.8% were taking antihypertensive drugs and 10.9% statins. According to the TOAST classification, there were 46.7% cryptogenic strokes, which was reduced to 25.5% for other cryptogenic strokes, and 2.3% for cryptogenic embolism according SSS-TOAST classification. In IS, risk profiles, clinical parameters and prior-stroke treatments did not significantly change. Dyslipidemia and use of statins were fluctuant. Diagnostic work-up improved but the frequencies of IS mechanism subtypes remained stable. CONCLUSION IS incidence increased while ICH incidence declined in young people. Major use of MRI may have contributed to the IS trend. The traditional risk factors studied remained stable and did not explain the increase in IS incidence. Improvement in diagnostic work-up did not lead to any change in subtypes of stroke mechanisms. Using the SSS-TOAST classification reduced the rate of cryptogenic strokes. The role of non-traditional risk factors may be explored in an attempt to explain increased incidence.
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Affiliation(s)
- E Retho
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France
| | - Y Tasseng
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France
| | - M Consigny
- Inserm, Centre d'Investigation Clinique (CIC) 1412, CHRU Cavale-Blanche, Brest, France
| | - L Le Bourhis
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France
| | - A Leblanc
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France
| | - A Jourdain
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France
| | - F M Merrien
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France
| | - F Rouhart
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France
| | | | - P Goas
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France
| | - C Lavenant
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France
| | - M Bruguet
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France
| | - S Timsit
- Service de Neurologie, CHRU Cavale-Blanche, Brest, France; Université Brest, Inserm, EFS, UMR 1078, GGB, 29200 Brest, France.
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78
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Guo Y, Luo C, Cao F, Liu J, Yan J. Short-term environmental triggers of hemorrhagic stroke. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 265:115508. [PMID: 37774546 DOI: 10.1016/j.ecoenv.2023.115508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 10/01/2023]
Abstract
Hemorrhagic stroke (HS) is associated with severe morbidity and high mortality. Identifying the trigger factors for HS is critical for disease prevention. This study aimed to assess the associations between short-term environmental triggers (STETs) and HS risk. We systematically searched six databases for articles published up to September 9, 2022. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using random-effect models to evaluate the associations between STETs and the risk of HS. Heterogeneity was assessed using Cochran Q and I2 tests. A total of 63 studies were included for analysis. Of these, 40 focused on air pollutants and 23 on meteorological factors. Pooling results showed that exposure to particulate matter 2.5 (PM2.5; OR, 1.003 per 10 μg/m3; 95% CI, 1.001-1.007), sulfur dioxide (SO2; OR, 1.022 per 10 ppb; 95% CI, 1.005-1.040), and nitrogen dioxide (NO2; OR, 1.026 per 10 ppb; 95% CI, 1.004-1.047) was associated with an increase in HS risk. Moreover, exposure to PM2.5 (OR, 1.018 per 10 μg/m3; 95% CI, 1.009-1.027) and SO2 (OR, 1.102 per 10 ppb; 95% CI, 1.010-1.204) was positively associated with the risk of intracerebral hemorrhage. In addition, extreme temperature, high pressures, high and low relative humidity were potentially associated with HS risk. Targeted preventive measures to limit the effect of these air pollutants and extreme meteorological factors should be taken to reduce the HS disease burden. Further studies are warranted to verify these findings.
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Affiliation(s)
- Yuxin Guo
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, Hunan 410078, China
| | - Chun Luo
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, Hunan 410078, China
| | - Fang Cao
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, Hunan 410078, China
| | - Junyu Liu
- Department of Neurosurgery, XiangYa Hospital, Central South University, Changsha 410008, China; Department of Pharmacology, Kyoto University Graduate School of Medicine, Kyoto 606-8501, Japan.
| | - Junxia Yan
- Department of Epidemiology and Health Statistics, XiangYa School of Public Health, Central South University, Changsha, Hunan 410078, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, XiangYa School of Public Health, Central South University, Changsha 410078, China.
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79
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Liu J, You Y, Liu R, Shen L, Wang D, Li X, Min L, Yin J, Zhang D, Ma X, Di Q. The joint effect and hemodynamic mechanism of PA and PM 2.5 exposure on cognitive function: A randomized controlled trial study. JOURNAL OF HAZARDOUS MATERIALS 2023; 460:132415. [PMID: 37657321 DOI: 10.1016/j.jhazmat.2023.132415] [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: 06/16/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/03/2023]
Abstract
BACKGROUND While PM2.5 has been shown to impair cognitive function, physical activity (PA) is known to enhance it. Nonetheless, considering the increased inhalation of PM2.5 during exercise, the potential of PA to counteract the detrimental effects of PM2.5, along with the underlying hemodynamic mechanisms, remains uncertain. METHODS We conducted a double-blinded, randomized controlled trial among healthy young adults in Beijing, China. Ninety-three participants were randomly allocated to groups experiencing different intensities of PA interventions, and either subjected to purified or unpurified air conditions. Cognitive function was measured by the Color-Word Matching Stroop task, and the hemodynamic response was measured using functional near-infrared spectroscopy during participants performed the Stroop task both before and after the intervention. Linear mixed-effect models were used to estimate the impact of PA and PM2.5 on cognitive function and hemodynamic response. RESULTS The reaction time for congruent and incongruent Stroop tasks improved by - 80.714 (95% CI: -136.733, -24.695) and - 105.843 (95% CI: -188.6, -23.085) milliseconds after high-intensity interval training (HIIT) intervention. PM2.5 and HIIT had interaction effects on cognition, such that every 1 μg/m3 increase in PM2.5 attenuated the benefits of HIIT on reaction time by 2.231 (95% CI: 0.523, 3.938) and 3.305 (95% CI: 0.791, 5.819) milliseconds for congruent and incongruent Stroop tasks. Moreover, we divided participants into high and low PM2.5 exposure groups based on average PM2.5 concentration (32.980 μg/m3), and found that HIIT intervention in high PM2.5 concentration led to 69.897 (95% CI: 9.317, 130.476) and 99.269 (95% CI: 10.054, 188.485) milliseconds increased in the reaction time of congruent and incongruent Stroop, compared with the control group among low PM2.5. Furthermore, we found a significant interaction effects of PM2.5 and moderate-intensity continuous training (MICT) on the middle frontal gyrus (MFG) and dorsolateral superior frontal gyrus (DLPFC). PM2.5 and HIIT had a significant interaction effect on the DLPFC. CONCLUSIONS HIIT improved cognitive function, but the cognitive benefits of HIIT were attenuated or even reversed under high PM2.5 exposure. The activation of the DLPFC and MFG could serve as hemodynamic mechanisms to explain the joint effect of PA and PM2.5.
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Affiliation(s)
- Jianxiu Liu
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China; Division of Sports Science and Physical Education, Tsinghua University, Beijing 100084, China
| | - Yanwei You
- Division of Sports Science and Physical Education, Tsinghua University, Beijing 100084, China
| | - Ruidong Liu
- Sports Coaching College, Beijing Sport University, Beijing 100084, China
| | - Lijun Shen
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Dizhi Wang
- Division of Sports Science and Physical Education, Tsinghua University, Beijing 100084, China
| | - Xingtian Li
- Division of Sports Science and Physical Education, Tsinghua University, Beijing 100084, China
| | - Leizi Min
- Division of Sports Science and Physical Education, Tsinghua University, Beijing 100084, China
| | - Jie Yin
- College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
| | - Dan Zhang
- Department of Psychology, Tsinghua University, Beijing 100084, China
| | - Xindong Ma
- Division of Sports Science and Physical Education, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China.
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China; Institute for Healthy China, Tsinghua University, Beijing 100084, China.
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80
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Leng S, Jin Y, Vitiello MV, Zhang Y, Ren R, Lu L, Shi J, Tang X. The association between polluted fuel use and self-reported insomnia symptoms among middle-aged and elderly Indian adults: a cross-sectional study based on LASI, wave 1. BMC Public Health 2023; 23:1953. [PMID: 37814252 PMCID: PMC10561501 DOI: 10.1186/s12889-023-16836-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 09/26/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND Insomnia predisposes the aging population to reduced quality of life and poor mental and physical health. Evidence of the association between polluted fuel use and insomnia symptoms is limited and is non-existent for the Indian population. Our study aimed to explore the link between polluted fuel use and insomnia symptoms in middle-aged and older (≥ 45 years) Indian populations. METHODS We utilized data from nationally representative Longitudinal Aging Study in India (LASI) Wave 1. Participants with complete information on fuel use, insomnia symptoms, and covariates were included. Insomnia symptoms were indicated by the presence of at least one of three symptoms: difficulty in initiating sleep (DIS), difficulty in maintaining sleep (DMS), or early morning awakening (EMA), ≥ 5 times/week. Survey-weighted multivariable logistic regression analyses were conducted to evaluate the association between polluted fuel use and insomnia symptoms. We also assessed the interaction of association in subgroups of age, gender, BMI, drinking, and smoking status. RESULTS Sixty thousand five hundred fifteen participants met the eligibility criteria. Twenty-eight thousand two hundred thirty-six (weighted percentage 48.04%) used polluted fuel and 5461 (weighted percentage 9.90%) reported insomnia symptoms. After full adjustment, polluted fuel use was associated with insomnia symptoms (OR 1.16; 95%CI 1.08-1.24) and was linked with DIS, DMS, and EMA (OR 1.14; 95%CI 1.05-1.24, OR 1.12; 95%CI 1.03-1.22, and OR 1.15; 95%CI 1.06-1.25, respectively). No significant interactions for polluted fuel use and insomnia symptoms were observed for analyses stratified by age, sex, BMI, drinking, or smoking. CONCLUSIONS Polluted fuel use was positively related to insomnia symptoms among middle-aged and older Indians. Suggestions are offered within this article for further studies to confirm our results, to explore underlying mechanisms, and to inform intervention strategies.
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Affiliation(s)
- Siqi Leng
- Sleep Medicine Center, Department of Urology, Mental Health Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China
| | - Yuming Jin
- Sleep Medicine Center, Department of Urology, Mental Health Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China
| | - Michael V Vitiello
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Ye Zhang
- Sleep Medicine Center, Department of Urology, Mental Health Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China
| | - Rong Ren
- Sleep Medicine Center, Department of Urology, Mental Health Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China
| | - Lin Lu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing, 100191, China
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing, 100191, China
| | - Xiangdong Tang
- Sleep Medicine Center, Department of Urology, Mental Health Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China.
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81
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Hasnain MG, Garcia-Esperon C, Tomari YK, Walker R, Saluja T, Rahman MM, Boyle A, Levi CR, Naidu R, Filippelli G, Spratt NJ. Effect of short-term exposure to air pollution on daily cardio- and cerebrovascular hospitalisations in areas with a low level of air pollution. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:102438-102445. [PMID: 37668781 PMCID: PMC10567850 DOI: 10.1007/s11356-023-29544-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 08/23/2023] [Indexed: 09/06/2023]
Abstract
Exposure to air pollution is associated with increased cardio- and cerebrovascular diseases. However, the evidence regarding the short-term effect of air pollution on cardio- and cerebrovascular hospitalisations in areas with relatively low air pollution levels is limited. This study aims to examine the effect of short-term exposure to different air pollutants on hospital admissions due to cardio- and cerebrovascular diseases in rural and regional Australia with low air pollution. The study was conducted in five local Government areas of Hunter New England Local Health District (HNE-LHD). Hospitalisation data from January 2018 to February 2020 (820 days) were accessed from the HNE-LHD admitted patients' dataset. Poisson regression model was used to examine the association between the exposure (air pollutants) and outcome variables (hospitalisation due to cardio- and cerebrovascular disease). The concentrations of gaseous air pollutants, Sulphur Dioxide (SO2), Nitrogen Dioxide (NO2), Ozone (O3), Carbon Monoxide (CO), and Ammonia (NH3) were below national benchmark concentrations for every day of the study period. In single pollutant models, SO2 and NO2 significantly increased the daily number of cardio- and cerebrovascular hospitalisations. The highest cumulative effect for SO2 was observed across lag 0-3 days (Incidence Rate Ratio, IRR: 1.77; 95% Confidence Interval, CI: 1.18-2.65; p-value: 0.01), and for NO2, it was across lag 0-2 days (IRR: 1.13; 95% CI: 1.02-1.25; p-value: 0.02). In contrast, higher O3 was associated with decreased cardio- and cerebrovascular hospitalisations, with the largest effect observed at lag 0 (IRR: 0.94; 95% CI: 0.89-0.98; p-value: 0.02). In the multi-pollutant model, the effect of NO2 remained significant at lag 0 and corresponded to a 21% increase in cardio- and cerebrovascular hospitalisation (95% CI: 1-44%; p-value = 0.04). Thus, the study revealed that gaseous air pollutants, specifically NO2, were positively related to increased cardio- and cerebrovascular hospitalisations, even at concentrations below the national standards.
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Affiliation(s)
- Md Golam Hasnain
- College of Health, Medicine, and Wellbeing, The University of Newcastle, University Drive, Callaghan, New South Wales, 2308, Australia.
- John Hunter Hospital, Hunter New England Local Health District, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia.
- Hunter Medical Research Institute, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia.
| | - Carlos Garcia-Esperon
- College of Health, Medicine, and Wellbeing, The University of Newcastle, University Drive, Callaghan, New South Wales, 2308, Australia
- John Hunter Hospital, Hunter New England Local Health District, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
- Hunter Medical Research Institute, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
| | - Yumi Kashida Tomari
- College of Health, Medicine, and Wellbeing, The University of Newcastle, University Drive, Callaghan, New South Wales, 2308, Australia
- John Hunter Hospital, Hunter New England Local Health District, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
- Hunter Medical Research Institute, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
| | - Rhonda Walker
- John Hunter Hospital, Hunter New England Local Health District, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
| | - Tarunpreet Saluja
- College of Health, Medicine, and Wellbeing, The University of Newcastle, University Drive, Callaghan, New South Wales, 2308, Australia
- John Hunter Hospital, Hunter New England Local Health District, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
- Hunter Medical Research Institute, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
| | - Md Mijanur Rahman
- The Daffodil Centre, The University of Sydney, A Joint Venture with Cancer Council NSW, Sydney, Australia
| | - Andrew Boyle
- College of Health, Medicine, and Wellbeing, The University of Newcastle, University Drive, Callaghan, New South Wales, 2308, Australia
- John Hunter Hospital, Hunter New England Local Health District, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
- Hunter Medical Research Institute, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
| | - Christopher R Levi
- College of Health, Medicine, and Wellbeing, The University of Newcastle, University Drive, Callaghan, New South Wales, 2308, Australia
- John Hunter Hospital, Hunter New England Local Health District, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
- Hunter Medical Research Institute, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
| | - Ravi Naidu
- Global Centre for Environmental Remediation, College of Engineering Science and Environment, The University of Newcastle, University Drive, Callaghan, New South Wales, 2308, Australia
- CRC for Contamination Assessment and Remediation of the Environment (crcCARE), The University of Newcastle, University Drive, Callaghan, New South Wales, 2308, Australia
| | - Gabriel Filippelli
- Department of Earth Sciences, Indiana University, Indianapolis, IN, 46202, USA
| | - Neil J Spratt
- College of Health, Medicine, and Wellbeing, The University of Newcastle, University Drive, Callaghan, New South Wales, 2308, Australia
- John Hunter Hospital, Hunter New England Local Health District, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
- Hunter Medical Research Institute, Lookout Road, New Lambton Heights, New South Wales, 2305, Australia
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82
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Lamorie-Foote K, Ge B, Shkirkova K, Liu Q, Mack W. Effect of Air Pollution Particulate Matter on Ischemic and Hemorrhagic Stroke: A Scoping Review. Cureus 2023; 15:e46694. [PMID: 37942398 PMCID: PMC10629995 DOI: 10.7759/cureus.46694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2023] [Indexed: 11/10/2023] Open
Abstract
Air pollution particulate matter (PM) exposure has been established as a risk factor for stroke. However, few studies have investigated the effects of PM exposure on stroke subtypes (ischemic and hemorrhagic stroke). Ischemic (IS) and hemorrhagic strokes (HS) involve distinctive pathophysiological pathways and may be differentially influenced by PM exposure. This review aims to characterize the effects of PM exposure on ischemic and hemorrhagic strokes. It also identifies subpopulations that may be uniquely vulnerable to PM toxicity. Pubmed was queried from 2000 to 2023 to identify clinical and epidemiological studies examining the association between PM exposure and stroke subtypes (ischemic and hemorrhagic stroke). Inclusion criteria were: 1) articles written in English 2) clinical and epidemiological studies 3) studies with a clear definition of stroke, IS, HS, and air pollution 4) studies reporting the effects of PM and 5) studies that included distinct analyses per stroke subtype. Two independent reviewers screened the literature for applicable studies. A total of 50 articles were included in this review. Overall, PM exposure increases ischemic stroke risk in both lightly and heavily polluted countries. The association between PM exposure and hemorrhagic stroke is variable and may be influenced by a country's ambient air pollution levels. A stronger association between PM exposure and stroke is demonstrated in older individuals and those with pre-existing diabetes. There is no clear effect of sex or hypertension on PM-associated stroke risk. Current literature suggests PM exposure increases ischemic stroke risk, with an unclear effect on hemorrhagic stroke risk. Older patients and those with pre-existing diabetes may be the most vulnerable to PM toxicity. Future investigations are needed to characterize the influence of sex and hypertension on PM-associated stroke risk.
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Affiliation(s)
| | - Brandon Ge
- Neurological Surgery, Keck School of Medicine of University of Southern California, Los Angeles, USA
| | - Kristina Shkirkova
- Neurological Surgery, Keck School of Medicine of University of Southern California, Los Angeles, USA
| | - Qinghai Liu
- Neurological Surgery, University of Southern California, Los Angeles, USA
| | - William Mack
- Neurological Surgery, University of Southern California, Los Angeles, USA
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He YS, Wu ZD, Wang GH, Wang X, Mei YJ, Sui C, Tao SS, Zhao CN, Wang P, Ni J, Pan HF. Impact of short-term exposure to ambient air pollution on osteoarthritis: a multi-city time-series analysis in Central-Eastern China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:104258-104269. [PMID: 37700129 DOI: 10.1007/s11356-023-29694-0] [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: 02/09/2023] [Accepted: 08/31/2023] [Indexed: 09/14/2023]
Abstract
Osteoarthritis (OA) is a threat to public health issue with high morbidity and disability worldwide. However, unequivocal evidence on the link between air pollution and OA remains little, especially in multi-study sites. This study aimed to explore the relationship between short-term exposure to main air pollutants and the risk of OA outpatient visits in multi-study sites. A multi-city time-series analysis was performed in Anhui Province, Central-Eastern China from January 1, 2015, to December 31, 2020. We used a two-stage analysis to assess the association between air pollution and daily OA outpatient visits. City-specific associations were estimated with a distributed lag nonlinear model and then pooled by random-effects or fixed-effects meta-analysis. Stratified analysis was conducted by gender, age, and season. Additionally, the disease burden of OA attributable to air pollutant exposure was calculated. A total of 35,700 OA outpatients were included during the study period. The pooled exposure-response curves showed that PM2.5 and PM10 concentrations below the reference values could increase the risk of OA outpatient visits. Concretely, per 10 ug/m3 increase in PM2.5 concentration was linked to an elevated risk of OA outpatient visits at lag 2 and lag 3 days, where the effect reached its highest value on lag 2 day (RR: 1.023, 95%CI: 1.005-1.041). We observed that a 10 μg/m3 increase in PM10 was positively correlated with OA outpatient visits (lag2 day, RR: 1.011, 95%CI: 1.001-1.025). Nevertheless, no statistical significance was discovered in gaseous pollutants (including SO2, O3, and CO). Additionally, a significant difference was found between cold and warm seasons, but not between different genders or age groups. This study reveals that particulate matter is an important factor for the onset of OA in Anhui Province, China. However, there is no evidence of a relationship of gaseous pollutants with OA in this area.
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Affiliation(s)
- Yi-Sheng He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
- Anhui Provincial Institute of Translational Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Zheng-Dong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
- Anhui Provincial Institute of Translational Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Gui-Hong Wang
- Department of Rheumatology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, Anhui, People's Republic of China
| | - Xiaohu Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Yong-Jun Mei
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China
| | - Cong Sui
- Department of Orthopedics Trauma, the First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Sha-Sha Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
- Anhui Provincial Institute of Translational Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Chan-Na Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
- Anhui Provincial Institute of Translational Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Peng Wang
- Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230016, Anhui, People's Republic of China
| | - Jing Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
- Anhui Provincial Institute of Translational Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China.
- Anhui Provincial Institute of Translational Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
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84
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Liu J, Luo C, Guo Y, Cao F, Yan J. Individual trigger factors for hemorrhagic stroke: Evidence from case-crossover and self-controlled case series studies. Eur Stroke J 2023; 8:808-818. [PMID: 37641550 PMCID: PMC10472950 DOI: 10.1177/23969873231173285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 04/12/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Hemorrhagic stroke (HS) is a sudden-onset disease with high mortality and disability rates, and it is crucial to explore the triggers of HS. In this study, we analyzed individual triggers for HS to provide a basis for HS prevention and intervention. METHODS A systematic search of five databases was conducted until December 2022. Studies on HS-related individual triggers conducted using a case-crossover study or self-controlled case series design were included in the descriptive summary and comprehensive evidence synthesis of each trigger. RESULTS A total of 39 studies were included after the screening, and 32 trigger factor categories were explored for associations. Potential trigger factors for HS were as follows: Antiplatelet (odd ratio (OR), 1.10; 95% confidence interval (CI), 1.00-1.21) and anticoagulant (OR, 5.43; 95% CI, 2.04-14.46) medications, mood stabilizers/antipsychotics (OR, 1.33; 95% CI, 1.07-1.65), infections (OR, 2.15; 95% CI, 1.73-2.67), vaccinations (relative risk, 1.11; 95% CI, 1.02-1.21), physical exertion (OR, 2.08; 95% CI, 1.58-2.74), cola consumption (OR, 5.45; 95% CI, 2.76-10.76), sexual activity (OR, 7.49; 95% CI, 2.23-25.22), nose blowing (OR range, 2.40-56.40), defecation (OR, 16.94; 95% CI, 3.40-84.37), and anger (OR, 3.59; 95% CI, 1.56-8.26). No associations were observed with illicit drug use (OR, 2.05; 95% CI, 0.52-8.06) or cigarette smoking (OR, 0.81; 95% CI, 0.52-1.24) and HS. CONCLUSIONS Individual triggers, including several medications, infections, vaccinations, and behaviors, may trigger HS onset. Direct control measures for behavioral triggers can play a crucial role in preventing HS. High-risk populations should receive personalized therapies and monitoring measures during the medication treatment to balance the risk of acute HS and the basic diseases.
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Affiliation(s)
- Junyu Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Department of Pharmacology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Chun Luo
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yuxin Guo
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Fang Cao
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Junxia Yan
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
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85
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Virani SS, Newby LK, Arnold SV, Bittner V, Brewer LC, Demeter SH, Dixon DL, Fearon WF, Hess B, Johnson HM, Kazi DS, Kolte D, Kumbhani DJ, LoFaso J, Mahtta D, Mark DB, Minissian M, Navar AM, Patel AR, Piano MR, Rodriguez F, Talbot AW, Taqueti VR, Thomas RJ, van Diepen S, Wiggins B, Williams MS. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 2023; 82:833-955. [PMID: 37480922 DOI: 10.1016/j.jacc.2023.04.003] [Citation(s) in RCA: 163] [Impact Index Per Article: 81.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
AIM The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease." METHODS A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.
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86
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Virani SS, Newby LK, Arnold SV, Bittner V, Brewer LC, Demeter SH, Dixon DL, Fearon WF, Hess B, Johnson HM, Kazi DS, Kolte D, Kumbhani DJ, LoFaso J, Mahtta D, Mark DB, Minissian M, Navar AM, Patel AR, Piano MR, Rodriguez F, Talbot AW, Taqueti VR, Thomas RJ, van Diepen S, Wiggins B, Williams MS. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation 2023; 148:e9-e119. [PMID: 37471501 DOI: 10.1161/cir.0000000000001168] [Citation(s) in RCA: 436] [Impact Index Per Article: 218.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
AIM The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease." METHODS A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.
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Affiliation(s)
| | | | | | | | | | | | - Dave L Dixon
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
| | - William F Fearon
- Society for Cardiovascular Angiography and Interventions representative
| | | | | | | | - Dhaval Kolte
- AHA/ACC Joint Committee on Clinical Data Standards
| | | | | | | | - Daniel B Mark
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
| | | | | | | | - Mariann R Piano
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
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87
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Cimmino G, Natale F, Alfieri R, Cante L, Covino S, Franzese R, Limatola M, Marotta L, Molinari R, Mollo N, Loffredo FS, Golino P. Non-Conventional Risk Factors: "Fact" or "Fake" in Cardiovascular Disease Prevention? Biomedicines 2023; 11:2353. [PMID: 37760794 PMCID: PMC10525401 DOI: 10.3390/biomedicines11092353] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/29/2023] Open
Abstract
Cardiovascular diseases (CVDs), such as arterial hypertension, myocardial infarction, stroke, heart failure, atrial fibrillation, etc., still represent the main cause of morbidity and mortality worldwide. They significantly modify the patients' quality of life with a tremendous economic impact. It is well established that cardiovascular risk factors increase the probability of fatal and non-fatal cardiac events. These risk factors are classified into modifiable (smoking, arterial hypertension, hypercholesterolemia, low HDL cholesterol, diabetes, excessive alcohol consumption, high-fat and high-calorie diet, reduced physical activity) and non-modifiable (sex, age, family history, of previous cardiovascular disease). Hence, CVD prevention is based on early identification and management of modifiable risk factors whose impact on the CV outcome is now performed by the use of CV risk assessment models, such as the Framingham Risk Score, Pooled Cohort Equations, or the SCORE2. However, in recent years, emerging, non-traditional factors (metabolic and non-metabolic) seem to significantly affect this assessment. In this article, we aim at defining these emerging factors and describe the potential mechanisms by which they might contribute to the development of CVD.
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Affiliation(s)
- Giovanni Cimmino
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Cardiology Unit, Azienda Ospedaliera Universitaria Luigi Vanvitelli, 80138 Naples, Italy
| | - Francesco Natale
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Roberta Alfieri
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Luigi Cante
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Simona Covino
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Rosa Franzese
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Mirella Limatola
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Luigi Marotta
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Riccardo Molinari
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Noemi Mollo
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Francesco S Loffredo
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Paolo Golino
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy (F.S.L.)
- Vanvitelli Cardiology Unit, Monaldi Hospital, 80131 Naples, Italy
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88
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Ye Y, Zhu YT, Zhang JC, Zhang HL, Fan RW, Jin YX, Hu HQ, Xin XY, Li D. Burden and attributable risk factors of ischemic stroke in China from 1990 to 2019: an analysis from the Global Burden of Disease Study 2019. Front Neurol 2023; 14:1216777. [PMID: 37564738 PMCID: PMC10409994 DOI: 10.3389/fneur.2023.1216777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/12/2023] [Indexed: 08/12/2023] Open
Abstract
Background The epidemiologic characteristics and attributable risk factors of ischemic stroke in China have changed over the past three decades. An up-to-date analysis on deaths, disability-adjusted life-years (DALYs), prevalence, incidence, and attributable risk factors of ischemic stroke for China is needed. This study aims to provide a comprehensive analysis of burden and attributable risk factors of ischemic stroke at national level in China by sex from 1990 to 2019. Methods This is a secondary analysis of the Global Burden of Disease (GBD) study 2019. All data used in this study was derived from the 2019 GBD study. Deaths, DALYs, prevalence, incidence, and attributable risk factors of ischemic stroke in China by sex from 1990 to 2019 were analyzed. Results From 1990 to 2019, the age-standardized deaths rate decreased by 3.3%, age-standardized DALYs rate decreased by 4%, age-standardized prevalence rate increased by 33.5%, and age-standardized incidence rate of ischemic stroke in China increased by 34.7%. In 2019, ambient particulate matter pollution became an important risk factor, whereas household air pollution from solid fuels was no longer a major risk factor for ischemic stroke in China. Burden of ischemic stroke was higher in China compared to other regions. Ambient particulate matter pollution among men, and diet high in sodium, smoking, household air pollution from solid fuels among women account for the increased deaths/DALYs due to ischemic stroke in China. Conclusion Our study revealed that great changes have occurred in burden and attributable risk factors of ischemic stroke in China in the past three decades. Distinct sex-specific differences are observed in burden and attributable risk factors.
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Affiliation(s)
| | | | | | | | | | | | | | - Xi-Yan Xin
- Department of Traditional Chinese Medicine, Peking University Third Hospital, Beijing, China
| | - Dong Li
- Department of Traditional Chinese Medicine, Peking University Third Hospital, Beijing, China
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89
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Jia Y, Lin Z, He Z, Li C, Zhang Y, Wang J, Liu F, Li J, Huang K, Cao J, Gong X, Lu X, Chen S. Effect of Air Pollution on Heart Failure: Systematic Review and Meta-Analysis. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:76001. [PMID: 37399145 PMCID: PMC10317211 DOI: 10.1289/ehp11506] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 02/15/2023] [Accepted: 06/06/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Heart failure (HF) poses a significant global disease burden. The current evidence on the impact of air pollution on HF remains inconsistent. OBJECTIVES We aimed to conduct a systematic review of the literature and meta-analysis to provide a more comprehensive and multiperspective assessment of the associations between short- and long-term air pollution exposure and HF from epidemiological evidences. METHODS Three databases were searched up to 31 August 2022 for studies investigating the association between air pollutants (PM 2.5 , PM 10 , NO 2 , SO 2 , CO, O 3 ) and HF hospitalization, incidence, or mortality. A random effects model was used to derive the risk estimations. Subgroup analysis was conducted by geographical location, age of participants, outcome, study design, covered area, the methods of exposure assessment, and the length of exposure window. Sensitivity analysis and adjustment for publication bias were performed to test the robustness of the results. RESULTS Of 100 studies covering 20 countries worldwide, 81 were for short-term and 19 were for long-term exposure. Almost all air pollutants were adversely associated with the risk of HF in both short- and long-term exposure studies. For short-term exposures, we found the risk of HF increased by 1.8% [relative risk ( RR ) = 1.018 , 95% confidence interval (CI): 1.011, 1.025] and 1.6% (RR = 1.016 , 95% CI: 1.011, 1.020) per 10 - μ g / m 3 increment of PM 2.5 and PM 10 , respectively. HF was also significantly associated with NO 2 , SO 2 , and CO, but not O 3 . Positive associations were stronger when exposure was considered over the previous 2 d (lag 0-1) rather than on the day of exposure only (lag 0). For long-term exposures, there were significant associations between several air pollutants and HF with RR (95% CI) of 1.748 (1.112, 2.747) per 10 - μ g / m 3 increment in PM 2.5 , 1.212 (1.010, 1.454) per 10 - μ g / m 3 increment in PM 10 , and 1.204 (1.069, 1.356) per 10 -ppb increment in NO 2 , respectively. The adverse associations of most pollutants with HF were greater in low- and middle-income countries than in high-income countries. Sensitivity analysis demonstrated the robustness of our results. DISCUSSION Available evidence highlighted adverse associations between air pollution and HF regardless of short- and long-term exposure. Air pollution is still a prevalent public health issue globally and sustained policies and actions are called for to reduce the burden of HF. https://doi.org/10.1289/EHP11506.
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Affiliation(s)
- Yanhui Jia
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhennan Lin
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhi He
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Chenyang Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Youjing Zhang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jingyu Wang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Xinyuan Gong
- Department of Science and Education, Tianjin First Central Hospital, Tianjin, China
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
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90
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de Almeida AEM, Stein R. The Environment and the Heart. Arq Bras Cardiol 2023; 120:e20230119. [PMID: 37466623 PMCID: PMC10365009 DOI: 10.36660/abc.20230119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023] Open
Affiliation(s)
| | - Ricardo Stein
- Universidade Federal do Rio Grande do SulPorto AlegreRSBrasilUniversidade Federal do Rio Grande do Sul, Porto Alegre, RS – Brasil
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91
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George PE, Maillis A, Zhu Y, Liu Y, Lane PA, Lam W, Lipscomb J, Ebelt S. Are children with sickle cell disease at particular risk from the harmful effects of air pollution? Evidence from a large, urban/peri-urban cohort. Pediatr Blood Cancer 2023; 70:e30453. [PMID: 37248172 PMCID: PMC10684822 DOI: 10.1002/pbc.30453] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 05/08/2023] [Accepted: 05/09/2023] [Indexed: 05/31/2023]
Abstract
INTRODUCTION Pathophysiologic pathways of sickle cell disease (SCD) and air pollution involve inflammation, oxidative stress, and endothelial damage. It is therefore plausible that children with SCD are especially prone to air pollution's harmful effects. METHODS Patient data were collected from a single-center, urban/peri-urban cohort of children with confirmed SCD. Daily ambient concentrations of particulate matter (PM2.5 ) were collected via satellite-derived remote-sensing technology, and carbon monoxide (CO), nitrogen dioxide (NO2 ), and ozone from local monitoring stations. We used multivariable regression to quantify associations of pollutant levels and daily counts of emergency department (ED) visits, accounting for weather and time trends. For comparison, we quantified the associations of pollutant levels with daily all-patient (non-SCD) ED visits to our center. RESULTS From 2010 to 2018, there were 17,731 ED visits by 1740 children with SCD (64.8% HbSS/HbSβ0 ). Vaso-occlusive events (57.8%), respiratory illness (17.1%), and fever (16.1%) were the most common visit diagnoses. Higher 3-day (lags 0-2) rolling mean PM2.5 and CO levels were associated with daily ED visits among those with SCD (PM2.5 incident rate ratio [IRR] 1.051 [95% confidence interval: 1.010-1.094] per 9.4 μg/m3 increase; CO 1.088 [1.045-1.132] per 0.5 ppm). NO2 showed positive associations in secondary analyses; ozone levels were not associated with ED visits. The comparison, all-patient ED visit analyses showed lower IRR for all pollutants. CONCLUSIONS Our results suggest short-term air pollution levels as triggers for SCD events and that children with SCD may be more vulnerable to air pollution than those without SCD. Targeted pollution-avoidance strategies could have significant clinical benefits in this population.
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Affiliation(s)
- Paul E. George
- Emory University School of Medicine, Department of Pediatrics, Atlanta GA
- Emory University Rollins School of Public Health, Department of Health Policy and Management, Atlanta GA
- Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Atlanta GA
| | - Alexander Maillis
- Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Atlanta GA
| | - Yijing Zhu
- Emory University Rollins School of Public Health, Gangarosa Department of Environmental Health, Atlanta GA
| | - Yang Liu
- Emory University Rollins School of Public Health, Gangarosa Department of Environmental Health, Atlanta GA
| | - Peter A. Lane
- Emory University School of Medicine, Department of Pediatrics, Atlanta GA
- Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Atlanta GA
| | - Wilbur Lam
- Emory University School of Medicine, Department of Pediatrics, Atlanta GA
- Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Atlanta GA
| | - Joseph Lipscomb
- Emory University Rollins School of Public Health, Department of Health Policy and Management, Atlanta GA
| | - Stefanie Ebelt
- Emory University Rollins School of Public Health, Gangarosa Department of Environmental Health, Atlanta GA
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92
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Xu J, Yin X, Jiang T, Wang S, Wang D. Effects of air pollution control policies on intracerebral hemorrhage mortality among residents in Tianjin, China. BMC Public Health 2023; 23:858. [PMID: 37170126 PMCID: PMC10173217 DOI: 10.1186/s12889-023-15735-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 04/22/2023] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND Exposure to air pollution is an important risk factor for intracerebral hemorrhage (ICH), which is a major cause of death worldwide. However, the relationship between ICH mortality and air quality improvement has been poorly studied. This study aims to evaluate the impact of the air pollution control policies in the Beijing-Tianjin-Hebei region on ICH mortality among Tianjin residents. METHODS This study used an interrupted time series analysis. We fitted autoregressive integrated moving average (ARIMA) models to assess the changes in ICH deaths before and after the interventions of air pollution control policies based on the data of ICH deaths in Tianjin collected by the Tianjin Center for Disease Control and Prevention. RESULTS Between 2009 and 2020, there were 63,944 ICH deaths in Tianjin, and there was an overall decreasing trend in ICH mortality. The intervention conducted in June 2014 resulted in a statistically significant (p = 0.03) long-term trend change, reducing the number of deaths from ICH by 0.69 (95% confidence interval [CI]: -1.30 to -0.07) per month. The intervention in October 2017 resulted in a statistically significant (p = 0.04) immediate decrease of 25.74 (95% CI: -50.62 to -0.85) deaths from ICH in that month. The intervention in December 2017 caused a statistically significant (p = 0.04) immediate reduction of 26.58 (95% CI: -52.02 to -1.14) deaths from ICH in that month. The intervention in March 2018 resulted in a statistically significant (p = 0.02) immediate decrease of 30.40 (95% CI: -56.41 to -4.40) deaths from ICH in that month. No significant differences were observed in the changes of male ICH mortality after any of the four interventions. However, female ICH deaths showed statistically significant long-term trend change after the intervention in June 2014 and immediate changes after the interventions in December 2017 and March 2018. Overall, the interventions prevented an estimated 5984.76 deaths due to ICH. CONCLUSION During the study period, some interventions of air pollution control policies were significantly associated with the reductions in the number of deaths from ICH among residents in Tianjin. ICH survivors and females were more sensitive to the protective effects of the interventions. Interventions for air pollution control can achieve public health gains in cities with high levels of air pollution.
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Affiliation(s)
- Jiahui Xu
- School of Public Health, Tianjin Medical University, Tianjin, China
- NCDs Preventive Department, Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, China
| | - Xiaolin Yin
- School of Public Health, Tianjin Medical University, Tianjin, China
- NCDs Preventive Department, Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, China
| | - Tingting Jiang
- School of Public Health, Tianjin Medical University, Tianjin, China
- NCDs Preventive Department, Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, China
| | - Shiyu Wang
- School of Public Health, Tianjin Medical University, Tianjin, China
- NCDs Preventive Department, Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, China
| | - Dezheng Wang
- School of Public Health, Tianjin Medical University, Tianjin, China.
- NCDs Preventive Department, Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Road, Hedong District, Tianjin, 300011, China.
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93
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Pariona-Vargas F, Mun KT, Lo EH, Starkman S, Sanossian N, Hosseini MB, Stratton S, Eckstein M, Conwit RA, Liebeskind DS, Sharma LK, Rao NM, Shkirkova K, Avila G, Kim-Tenser MA, Saver JL. Circadian variation in stroke onset: Differences between ischemic and hemorrhagic stroke and weekdays versus weekends. J Stroke Cerebrovasc Dis 2023; 32:107106. [PMID: 37116446 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107106] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/03/2023] [Accepted: 03/27/2023] [Indexed: 04/30/2023] Open
Abstract
OBJECTIVES To delineate diurnal variation onset distinguishing ischemic from hemorrhagic stroke, wake from sleep onset, and weekdays from weekends/holidays. MATERIALS AND METHODS We analyzed patients enrolled in the FAST-MAG trial of field-initiated neuroprotective agent in patients with hyperacute stroke within 2h of symptoms onset. Stroke onset times were analyzed in 1h, 4h, and 12h time blocks throughout the 24h day-night cycle. Patient demographic, clinical features, stroke severity, and prehospital workflow were evaluated for association with onset times. RESULTS Among 1615 acute cerebrovascular disease patients, final diagnoses were acute cerebral ischemia in 76.5% and Intracerebral hemorrhage in 23.5%. Considering all acute cerebrovascular disease patients, frequency of wake onset times showed a bimodal pattern, with peaks on onsets at 09:00-13:59 and 17:00-18:59 and early morning (00:00-05:59) onset in only 3.8%. Circadian rhythmicity differed among stroke subtypes: in acute cerebral ischemia, a single broad plateau of elevated incidences was seen from 10:00-21:59; in Intracerebral hemorrhage, bimodal peaks occurred at 09:00 and 19:00. The ratio of Intracerebral hemorrhage to acute cerebral ischemia occurrence was highest in early morning, 02:00-06:59. Marked weekday vs weekends pattern variation was noted for acute cerebral ischemia, with a broad plateau between 09:00 and 21:59 on weekdays but a unimodal peak at 14:00-15:59 on weekends. CONCLUSIONS Wake onset of acute cerebrovascular disease showed a marked circadian variation, with distinctive patterns of a broad elevated plateau among acute cerebral ischemia patients; a bimodal peak among intracerebral hemorrhage patients; and a weekend change in acute cerebral ischemia pattern to a unimodal peak.
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Affiliation(s)
- Fatima Pariona-Vargas
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, United States.
| | - Katherine T Mun
- Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
| | - Eng H Lo
- Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States; Department of Radiology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
| | - Sidney Starkman
- Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
| | - Nerses Sanossian
- Department of Neurology, University of Southern California, Los Angeles, CA, United States
| | - Mersedeh Bahr Hosseini
- Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
| | - Samuel Stratton
- Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
| | - Marc Eckstein
- Department of Neurology, University of Southern California, Los Angeles, CA, United States
| | - Robin A Conwit
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States; Department of Neurology, Indiana University, United States
| | - David S Liebeskind
- Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
| | - Latisha K Sharma
- Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
| | - Neal M Rao
- Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
| | - Kristina Shkirkova
- Department of Neurology, University of Southern California, Los Angeles, CA, United States
| | - Gilda Avila
- Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
| | - May A Kim-Tenser
- Department of Neurology, University of Southern California, Los Angeles, CA, United States
| | - Jeffrey L Saver
- Department of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
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94
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Liang W, Zhu H, Xu J, Zhao Z, Zhou L, Zhu Q, Cai J, Ji L. Ambient air pollution and gestational diabetes mellitus: An updated systematic review and meta-analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 255:114802. [PMID: 36934545 DOI: 10.1016/j.ecoenv.2023.114802] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/23/2023] [Accepted: 03/15/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE We aimed to evaluate the relationship between the composition of particulate matter (PM) and gestational diabetes mellitus (GDM) by a comprehensively review of epidemiological studies. METHODS We systematically identified cohort studies related to air pollution and GDM risk before February 8, 2023 from six databases (PubMed, Embase, Web of Science Core Collection, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform and Chongqing VIP Chinese Science and Technology Periodical databases). We calculated the relative risk (RR) and its 95% confidence intervals (CIs) to assess the overall effect by using a random effects model. RESULTS This meta-analysis of 31 eligible cohort studies showed that exposure to PM2.5, PM10, SO2, and NO2 was associated with a significantly increased risk of GDM, especially in preconception and first trimester. Analysis of the components of PM2.5 found that the risk of GDM was strongly linked to black carbon (BC) and nitrates (NO3-). Specifically, BC exposure in the second trimester and NO3- exposure in the first trimester elevated the risk of GDM, with the RR of 1.128 (1.032-1.231) and 1.128 (1.032-1.231), respectively. The stratified analysis showed stronger correlations of GDM risk with higher levels of pollutants in Asia, except for PM2.5 and BC, which suggested that the specific composition of particulate pollutants had a greater effect on the exposure-outcome association than the concentration. CONCLUSIONS Our study found that ambient air pollutant is a critical factor for GDM and further studies on specific particulate matter components should be considered in the future.
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Affiliation(s)
- Weiqi Liang
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
| | - Hui Zhu
- Department of Internal Medicine, School of Medicine, Ningbo University, Ningbo, China
| | - Jin Xu
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China; Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China
| | - Zhijia Zhao
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
| | - Liming Zhou
- Center for Reproductive Medicine, Ningbo Women and Children's Hospital, Ningbo, China
| | - Qiong Zhu
- Department of Pediatrics, Affiliated People's Hospital of Ningbo University, Ningbo, China
| | - Jie Cai
- Center for Reproductive Medicine, Ningbo Women and Children's Hospital, Ningbo, China.
| | - Lindan Ji
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China; Department of Biochemistry, School of Medicine, Ningbo University, Ningbo, China.
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95
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Tang J, Chen A, He F, Shipley M, Nevill A, Coe H, Hu Z, Zhang T, Kan H, Brunner E, Tao X, Chen R. Association of air pollution with dementia: a systematic review with meta-analysis including new cohort data from China. ENVIRONMENTAL RESEARCH 2023; 223:115048. [PMID: 36529331 DOI: 10.1016/j.envres.2022.115048] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/25/2022] [Accepted: 12/10/2022] [Indexed: 06/17/2023]
Abstract
It remains unclear whether a total exposure to air pollution (AP) is associated with an increased risk of dementia. Little is known on the association in low- and middle-income countries. Two cohort studies in China (in Anhui cohort 1402 older adults aged ≥ 60 followed up for 10 years; in Zhejiang cohort 6115 older adults followed up for 5 years) were conducted to examine particulate matter - PM2.5 associated with all dementia and air quality index (AQI) with Alzheimer's disease, respectively. A systematic literature review and meta-analysis was performed following worldwide literature searched until May 20, 2020 to identify 15 population-based cohort studies examining the association of AP with dementia (or any specific type of dementia) through PubMed, MEDLINE, PsycINFO, SocINDEX, CINHAL, and CNKI. The cohort studies in China showed a significantly increased relative risk (RR) of dementia in relation to AP exposure; in Anhui cohort the adjusted RR was 2.14 (95% CI 1.00-4.56) in people with PM2.5 exposure at ≥ 64.5 μg/m3 versus <63.5 μg/m3 and in Zhejiang cohort the adjusted RR was 2.28 (1.07-4.87) in AQI>90 versus ≤ 80. The systematic review revealed that all 15 studies were undertaken in high income countries/regions, with inconsistent findings. While they had reasonably good overall quality of studies, seven studies did not adjust smoking in analysis and 13 did not account for depression. Pooling all eligible data demonstrated that dementia risk increased with the total AP exposure (1.13, 1.08-1.19). Data analysis of air pollutants showed that the RR significantly increased with PM2.5 (1.06, 1.03-1.10 in 2nd tertile exposure; 1.13, 1.07-1.19 in 3rd tertile versus 1st tertile), PM10 (1.05, 0.86-1.29; 1.62, 0.60-4.36), carbon monoxide (1.69, 0.72-3.93; 1.52, 1.35-1.71), nitrogen dioxide (1.06, 1.03-1.09; 1.18, 1.10-1.28) and nitrogen oxides (1.09, 1.04-1.15; 1.26, 1.13-1.41), but not ozone. Controlling air pollution and targeting on specific pollutants would reduce dementia globally.
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Affiliation(s)
- Jie Tang
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK; Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Anthony Chen
- Faculty of Sciences and Technology, Middlesex University, UK
| | - Fan He
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Martin Shipley
- Department of Epidemiology and Public Health, University College London, UK
| | - Alan Nevill
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK
| | - Hugh Coe
- Centre for Atmospheric Science, University of Manchester, UK
| | - Zhi Hu
- School of Health Administration, Anhui Medical University, China
| | - Tao Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Haidong Kan
- School of Public Health, Fudan University, China
| | - Eric Brunner
- Department of Epidemiology and Public Health, University College London, UK
| | - Xuguang Tao
- Division of Occupational and Environmental Medicine, Johns Hopkins School of Medicine, John Hopkins University, USA
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK; Division of Occupational and Environmental Medicine, Johns Hopkins School of Medicine, John Hopkins University, USA.
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AlRahimi J, AlSaif S, Alasnag M, Awan Z, Almutairi F, Al Mudaiheem H, Gencer B, Catapano AL, Mach F, Tash A. 2022 Saudi Guidelines for the Management of Dyslipidemia. Heart Views 2023; 24:67-92. [PMID: 37305331 PMCID: PMC10249637 DOI: 10.4103/heartviews.heartviews_102_22] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 02/16/2023] [Indexed: 06/13/2023] Open
Affiliation(s)
- Jamilah AlRahimi
- Department of Cardiology, King Faisal Cardiac Center, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Dammam, Saudi Arabia
| | - Shukri AlSaif
- Department of Cardiology, Saud AlBabtain Cardiac Center, Dammam, Saudi Arabia
| | - Mirvat Alasnag
- Department of Cardiology, Catheterization Laboratory, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia
| | - Zuhier Awan
- Medicine, Biochemistry and Molecular Genetics, Clinical Biochemistry Department, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Fawaz Almutairi
- Department of Cardiology, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Hajer Al Mudaiheem
- Therapeutic Affairs Department, Ministry of Health, Riyadh, Saudi Arabia
| | - Baris Gencer
- Department of Cardiology, Geneva University Hospital, Geneva
- Institute of Primary Healthcare (BIHAM), Bern University, Bern, Switzerland
| | - Alberico L. Catapano
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - François Mach
- Department of Cardiology, Geneva University Hospital, Geneva
| | - Adel Tash
- Cardiac Services Development, Ministry of Health, Riyadh, Saudi Arabia
- National Heart Center, Saudi Health Council, Riyadh, Saudi Arabia
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97
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Dong TF, Zha ZQ, Sun L, Liu LL, Li XY, Wang Y, Meng XL, Li HB, Wang HL, Nie HH, Yang LS. Ambient nitrogen dioxide and cardiovascular diseases in rural regions: a time-series analyses using data from the new rural cooperative medical scheme in Fuyang, East China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:51412-51421. [PMID: 36809617 DOI: 10.1007/s11356-023-25922-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Most of studies relating ambient nitrogen dioxide (NO2) exposure to hospital admissions for cardiovascular diseases (CVDs) were conducted among urban population. Whether and to what extent these results could be generalizable to rural population remains unknown. We addressed this question using data from the New Rural Cooperative Medical Scheme (NRCMS) in Fuyang, Anhui, China. Daily hospital admissions for total CVDs, ischaemic heart disease, heart failure, heart rhythm disturbances, ischaemic stroke, and haemorrhagic stroke in rural regions of Fuyang, China, were extracted from NRCMS between January 2015 and June 2017. A two-stage time-series analysis method was used to assess the associations between NO2 and CVD hospital admissions and the disease burden fractions attributable to NO2. In our study period, the average number (standard deviation) of hospital admissions per day were 488.2 (117.1) for total CVDs, 179.8 (45.6) for ischaemic heart disease, 7.0 (3.3) for heart rhythm disturbances, 13.2 (7.2) for heart failure, 267.9 (67.7) for ischaemic stroke, and 20.2 (6.4) for haemorrhagic stroke. The 10-μg/m3 increase of NO2 was related to an elevated risk of 1.9% (RR: 1.019, 95% CI: 1.005 to 1.032) for hospital admissions of total CVDs at lag0-2 days, 2.1% (1.021, 1.006 to 1.036) for ischaemic heart disease, and 2.1% (1.021, 1.006 to 1.035) for ischaemic stroke, respectively, while no significant association was observed between NO2 and hospital admissions for heart rhythm disturbances, heart failure, and haemorrhagic stroke. The attributable fractions of total CVDs, ischaemic heart disease, and ischaemic stroke to NO2 were 6.52% (1.87 to 10.94%), 7.31% (2.19 to 12.17%), and 7.12% (2.14 to 11.85%), respectively. Our findings suggest that CVD burdens in rural population are also partly attributed to short-term exposure to NO2. More studies across rural regions are required to replicate our findings.
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Affiliation(s)
- Teng-Fei Dong
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Zhen-Qiu Zha
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
- Anhui Provincial Center for Disease Control and Prevention, Hefei, 230601, Anhui, China
| | - Liang Sun
- Fuyang Center for Disease Control and Prevention, Fuyang, 236069, Anhui, China
| | - Ling-Li Liu
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Xing-Yang Li
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Yuan Wang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Xiang-Long Meng
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Huai-Biao Li
- Fuyang Center for Disease Control and Prevention, Fuyang, 236069, Anhui, China
| | - Hong-Li Wang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Huan-Huan Nie
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China
| | - Lin-Sheng Yang
- School of Public Health, Department of Epidemiology and Health Statistics, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
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98
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Gui J, Liu J, Han Z, Yang X, Ding R, Yang J, Luo H, Huang D, Chen H, Cheng L, Jiang L. The dysfunctionality of hippocampal synapses may be directly related to PM-induced impairments in spatial learning and memory in juvenile rats. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 254:114729. [PMID: 36889211 DOI: 10.1016/j.ecoenv.2023.114729] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 02/28/2023] [Accepted: 03/03/2023] [Indexed: 06/18/2023]
Abstract
Epidemiological studies have demonstrated that exposure to air particulate matter (PM) increases the incidence of cardiovascular and respiratory diseases and exerts a significant neurotoxic effect on the nervous system, especially on the immature nervous system. Here, we selected PND28 rats to simulate the immature nervous system of young children and used neurobehavioral methods to examine how exposure to PM affected spatial learning and memory, as well as electrophysiology, molecular biology, and bioinformatics to study the morphology of hippocampus and the function of hippocampal synapses. We discovered that spatial learning and memory were impaired in rats exposed to PM. The morphology and structure of the hippocampus were altered in the PM group. In addition, after exposure to PM, the relative expression of synaptophysin (SYP) and postsynaptic density 95 (PSD95) proteins decreased dramatically in rats. Furthermore, PM exposure impaired long-term potentiation (LTP) in the hippocampal Schaffer-CA1 pathway. Interestingly, RNA sequencing and bioinformatics analysis revealed that the differentially expressed genes (DEGs) were rich in terms associated with synaptic function. Five hub genes (Agt, Camk2a, Grin2a, Snca, and Syngap1) that may play a significant role in the dysfunctionality of hippocampal synapses were identified. Our findings implied that exposure to PM impaired spatial learning and memory via exerting impacts on the dysfunctionality of hippocampal synapses in juvenile rats and that Agt, Camk2a, Grin2a, Snca, and Syngap1 may drive PM-caused synaptic dysfunction.
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Affiliation(s)
- Jianxiong Gui
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Jie Liu
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Ziyao Han
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Xiaoyue Yang
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Ran Ding
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Jiaxin Yang
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Hanyu Luo
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Dishu Huang
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Hengsheng Chen
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Li Cheng
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Li Jiang
- Department of Neurology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China.
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Assessment of Low-Level Air Pollution and Cardiovascular Incidence in Gdansk, Poland: Time-Series Cross-Sectional Analysis. J Clin Med 2023; 12:jcm12062206. [PMID: 36983207 PMCID: PMC10054494 DOI: 10.3390/jcm12062206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 03/03/2023] [Accepted: 03/04/2023] [Indexed: 03/18/2023] Open
Abstract
(1) Background: More than 1.8 million people in the European Union die every year as a result of CVD, accounting for 36% of all deaths with a large proportion being premature (before the age of 65). There are more than 300 different risk factors of CVD, known and air pollution is one of them. The aim of this study was to investigate whether daily cardiovascular mortality was associated with air pollutants and meteorological conditions in an urban environment with a low level of air pollution. (2) Methods: Data on daily incidence of strokes and myocardial infarctions in the city of Gdansk were obtained from the National Health Fund (NHF) and covered the period from 1 January 2014 to 31 December 2018. Data on the level of pollution, i.e., SO2, NO, NO2, NOx, CO, PM10, PM2.5, CO2, O3 and meteorological conditions came from the foundation: Agency of Regional Air Quality Monitoring in the Gdańsk metropolitan area (ARMAG). Using these data, we calculated mean values with standard deviation (SD) and derived the minimum and maximum values and interquartile range (IQR). Time series regression with Poisson distribution was used in statistical analysis. (4) Results: Stroke incidence is significantly affected by an increase in concentrations of NO, NO2 and NOx with RRs equal to 1.019 (95%CI: 1.001–1.036), 1.036 (95%CI: 1.008–1.064) and 1.017 (95%CI: 1.000–1.034) for every increase in IQR by 14.12, 14.62 and 22.62 μg/m3, respectively. Similarly, myocardial infarction incidence is significantly affected by an increase in concentrations of NO, NO2 and NOx with RRs equal to 1.030 (95%CI: 1.011–1.048), 1.053 (95%CI: 1.024–1.082) and 1.027 (95%CI: 1.010–1.045) for every increase in IQR by 14.12, 14.62 and 22.62 μg/m3, respectively. Both PM10 and PM2.5 were positively associated with myocardial infarction incidence. (5) Conclusions: In this time-series cross-sectional study, we found strong evidence that support the hypothesis that transient elevations in ambient PM2.5, PM10, NO2, SO2 and CO are associated with higher relative risk of ischemic stroke and myocardial infarction incidents.
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You X, Cao X, Guo Y, Wang D, Qiu W, Zhou C, Zhou M, Chen W, Zhang X. Associations between short-term PM2.5 exposure and daily hospital admissions for circulatory system diseases in Ganzhou, China: A time series study. Front Public Health 2023; 11:1134516. [PMID: 36969639 PMCID: PMC10034184 DOI: 10.3389/fpubh.2023.1134516] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 02/20/2023] [Indexed: 03/11/2023] Open
Abstract
ObjectivePrevious epidemiological studies have shown that both long-term and short-term exposure to fine particulate matters (PM2.5) were associated with the morbidity and mortality of circulatory system diseases (CSD). However, the impact of PM2.5 on CSD remains inconclusive. This study aimed to investigate the associations between PM2.5 and circulatory system diseases in Ganzhou.MethodsWe conducted this time series study to explore the association between ambient PM2.5 exposure and daily hospital admissions for CSD from 2016 to 2020 in Ganzhou by using generalized additive models (GAMs). Stratified analyses were also performed by gender, age, and season.ResultsBased on 201,799 hospitalized cases, significant and positive associations were found between short-term PM2.5 exposure and hospital admissions for CSD, including total CSD, hypertension, coronary heart disease (CHD), cerebrovascular disease (CEVD), heart failure (HF), and arrhythmia. Each 10 μg/m3 increase in PM2.5 concentrations was associated with a 2.588% (95% confidence interval [CI], 1.161%–4.035%), 2.773% (95% CI, 1.246%–4.324%), 2.865% (95% CI, 0.786%–4.893%), 1.691% (95% CI, 0.239%–3.165%), 4.173% (95% CI, 1.988%–6.404%) and 1.496% (95% CI, 0.030%–2.983%) increment in hospitalizations for total CSD, hypertension, CHD, CEVD, HF, and arrhythmia, respectively. As PM2.5 concentrations rise, the hospitalizations for arrhythmia showed a slow upward trend, while other CSD increased sharply at high PM2.5 levels. In subgroup analyses, the impacts of PM2.5 on hospitalizations for CSD were not materially changed, although the females had higher risks of hypertension, HF, and arrhythmia. The relationships between PM2.5 exposure and hospitalizations for CSD were more significant among individuals aged ≤65 years, except for arrhythmia. PM2.5 had stronger effects on total CSD, hypertension, CEVD, HF, and arrhythmia during cold seasons.ConclusionPM2.5 exposure was positively associated with daily hospital admissions for CSD, which might provide informative insight on adverse effects of PM2.5.
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Affiliation(s)
- Xiaojie You
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiuyu Cao
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - You Guo
- First Affiliated Hospital, Gannan Medical University, Ganzhou, China
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
| | - Dongming Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weihong Qiu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chuanfei Zhou
- First Affiliated Hospital, Gannan Medical University, Ganzhou, China
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
| | - Min Zhou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- *Correspondence: Weihong Chen
| | - Xiaokang Zhang
- First Affiliated Hospital, Gannan Medical University, Ganzhou, China
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
- Xiaokang Zhang
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