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Okamura T, Tsukamoto K, Arai H, Fujioka Y, Ishigaki Y, Koba S, Ohmura H, Shoji T, Yokote K, Yoshida H, Yoshida M, Deguchi J, Dobashi K, Fujiyoshi A, Hamaguchi H, Hara M, Harada-Shiba M, Hirata T, Iida M, Ikeda Y, Ishibashi S, Kanda H, Kihara S, Kitagawa K, Kodama S, Koseki M, Maezawa Y, Masuda D, Miida T, Miyamoto Y, Nishimura R, Node K, Noguchi M, Ohishi M, Saito I, Sawada S, Sone H, Takemoto M, Wakatsuki A, Yanai H. Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2022. J Atheroscler Thromb 2024; 31:641-853. [PMID: 38123343 DOI: 10.5551/jat.gl2022] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Affiliation(s)
- Tomonori Okamura
- Preventive Medicine and Public Health, Keio University School of Medicine
| | | | | | - Yoshio Fujioka
- Faculty of Nutrition, Division of Clinical Nutrition, Kobe Gakuin University
| | - Yasushi Ishigaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University
| | - Shinji Koba
- Division of Cardiology, Department of Medicine, Showa University School of Medicine
| | - Hirotoshi Ohmura
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine
| | - Tetsuo Shoji
- Department of Vascular Medicine, Osaka Metropolitan University Graduate school of Medicine
| | - Koutaro Yokote
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine
| | - Hiroshi Yoshida
- Department of Laboratory Medicine, The Jikei University Kashiwa Hospital
| | | | - Juno Deguchi
- Department of Vascular Surgery, Saitama Medical Center, Saitama Medical University
| | - Kazushige Dobashi
- Department of Pediatrics, School of Medicine, University of Yamanashi
| | | | | | - Masumi Hara
- Department of Internal Medicine, Mizonokuchi Hospital, Teikyo University School of Medicine
| | - Mariko Harada-Shiba
- Cardiovascular Center, Osaka Medical and Pharmaceutical University
- Department of Molecular Pathogenesis, National Cerebral and Cardiovascular Center Research Institute
| | - Takumi Hirata
- Institute for Clinical and Translational Science, Nara Medical University
| | - Mami Iida
- Department of Internal Medicine and Cardiology, Gifu Prefectural General Medical Center
| | - Yoshiyuki Ikeda
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Shun Ishibashi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jichi Medical University, School of Medicine
- Current affiliation: Ishibashi Diabetes and Endocrine Clinic
| | - Hideyuki Kanda
- Department of Public Health, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
| | - Shinji Kihara
- Medical Laboratory Science and Technology, Division of Health Sciences, Osaka University graduate School of medicine
| | - Kazuo Kitagawa
- Department of Neurology, Tokyo Women's Medical University Hospital
| | - Satoru Kodama
- Department of Prevention of Noncommunicable Diseases and Promotion of Health Checkup, Department of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine
| | - Masahiro Koseki
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Yoshiro Maezawa
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine
| | - Daisaku Masuda
- Department of Cardiology, Center for Innovative Medicine and Therapeutics, Dementia Care Center, Doctor's Support Center, Health Care Center, Rinku General Medical Center
| | - Takashi Miida
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine
| | | | - Rimei Nishimura
- Department of Diabetes, Metabolism and Endocrinology, The Jikei University School of Medicine
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University
| | - Midori Noguchi
- Division of Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
| | - Mitsuru Ohishi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University
| | - Shojiro Sawada
- Division of Metabolism and Diabetes, Faculty of Medicine, Tohoku Medical and Pharmaceutical University
| | - Hirohito Sone
- Department of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine
| | - Minoru Takemoto
- Department of Diabetes, Metabolism and Endocrinology, International University of Health and Welfare
| | | | - Hidekatsu Yanai
- Department of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine Kohnodai Hospital
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Wang X, Liu X, O'Donnell MJ, McQueen M, Sniderman A, Pare G, Hankey GJ, Rangarajan S, Chin SL, Rao-Melacini P, Ferguson J, Xavier D, Zhang H, Liu L, Pais P, Lopez-Jaramillo P, Damasceno A, Langhorne P, Rosengren A, Dans AL, Elsayed A, Avezum A, Mondo C, Judge C, Diener HC, Ryglewicz D, Czlonkowska A, Pogosova N, Weimar C, Iqbal R, Diaz R, Yusoff K, Yusufali A, Oguz A, Penaherrera E, Lanas F, Ogah OS, Ogunniyi A, Iversen HK, Malaga G, Rumboldt Z, Oveisgharan S, Al Hussain F, Nilanont Y, Yusuf S. Tobacco use and risk of acute stroke in 32 countries in the INTERSTROKE study: a case-control study. EClinicalMedicine 2024; 70:102515. [PMID: 38516107 PMCID: PMC10955659 DOI: 10.1016/j.eclinm.2024.102515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 03/23/2024] Open
Abstract
Background Smoking is a major risk factor for the global burden of stroke. We have previously reported a global population attributable risk (PAR) of stroke of 12.4% associated with current smoking. In this study we aimed to explore the association of current tobacco use with different types of tobacco exposure and environmental tobacco smoke (ETS) exposure on the risk of stroke and stroke subtypes, and by regions and country income levels. Methods The INTERSTROKE study is a case-control study of acute first stroke and was undertaken with 13,462 stroke cases and 13,488 controls recruited between January 11, 2007 and August 8, 2015 in 32 countries worldwide. Association of risk of tobacco use and ETS exposure were analysed with overall stroke, ischemic and intracerebral hemorrhage (ICH), and with TOAST etiological stroke subtypes (large vessel, small vessel, cardioembolism, and undetermined). Findings Current smoking was associated with an increased risk of all stroke (odds ratio [OR] 1.64, 95% CI 1.46-1.84), and had a stronger association with ischemic stroke (OR 1.85, 95% CI 1.61-2.11) than ICH (OR 1.19 95% CI 1.00-1.41). The OR and PAR of stroke among current smokers varied significantly between regions and income levels with high income countries (HIC) having the highest odds (OR 3.02 95% CI 2.24-4.10) and PAR (18.6%, 15.1-22.8%). Among etiological subtypes of ischemic stroke, the strongest association of current smoking was seen for large vessel stroke (OR 2.16, 95% CI 1.63-2.87) and undetermined cause (OR 1.97, 95% CI 1.55-2.50). Both filtered (OR 1.73, 95% CI 1.50-1.99) and non-filtered (OR 2.59, 95% CI 1.79-3.77) cigarettes were associated with stroke risk. ETS exposure increased the risk of stroke in a dose-dependent manner, exposure for more than 10 h per week increased risk for all stroke (OR 1.95, 95% CI 1.69-2.27), ischemic stroke (OR 1.89, 95% CI 1.59-2.24) and ICH (OR 2.00, 95% CI 1.60-2.50). Interpretation There are significant variations in the magnitude of risk and PAR of stroke according to the types of tobacco used, active and ETS exposure, and countries with different income levels. Specific strategies to discourage tobacco use by any form and to build a smoke free environment should be implemented to ease the global burden of stroke. Funding The Canadian Institutes of Health Research, Heart and Stroke Foundation of Canada, Canadian Stroke Network, Swedish Research Council, Swedish Heart and Lung Foundation, The Health & Medical Care Committee of the Regional Executive Board, Region Västra Götaland, and through unrestricted grants from several pharmaceutical companies with major contributions from Astra Zeneca, Boehringer Ingelheim (Canada), Pfizer (Canada), MERCK, Sharp and Dohme, Swedish Heart and Lung Foundation, UK Chest, and UK Heart and Stroke.
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Affiliation(s)
- Xingyu Wang
- Beijing Hypertension League Institute, Beijing, China
- National Genetic Resources Research Center, National Research Institute for Family Planning, Beijing, China
| | - Xin Liu
- Beijing Hypertension League Institute, Beijing, China
- National Genetic Resources Research Center, National Research Institute for Family Planning, Beijing, China
| | - Martin J. O'Donnell
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
- NUI Galway, Galway, Ireland
| | - Matthew McQueen
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | | | - Guillaume Pare
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Graeme J. Hankey
- St John's Medical College and Research Institute, Bangalore, India
| | - Sumathy Rangarajan
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Siu Lim Chin
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Purnima Rao-Melacini
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | | | - Denis Xavier
- Fundacion Oftalmologica de Santander-Clinica Carlos Ardila Lulle (FOSCAL), Bucaramanga, Colombia
| | - Hongye Zhang
- Beijing Hypertension League Institute, Beijing, China
| | - Lisheng Liu
- Beijing Hypertension League Institute, Beijing, China
| | - Prem Pais
- St John's Medical College and Research Institute, Bangalore, India
| | - Patricio Lopez-Jaramillo
- Fundacion Oftalmologica de Santander-Clinica Carlos Ardila Lulle (FOSCAL), Bucaramanga, Colombia
| | | | - Peter Langhorne
- Glasgow Royal Infirmary, University of Glasgow, Glasgow, Scotland, UK
| | - Annika Rosengren
- Sahlgrenska Academy and University Hospital, University of Gothenburg, Gothenburg, Sweden
| | - Antonio L. Dans
- College of Medicine, University of Philippines, Manila, Philippines
| | | | - Alvaro Avezum
- Instituto Dante Pazzanese de Cardiologia, Sao Paulo, Brazil
| | - Charles Mondo
- Uganda Heart Institute, Mulago Hospital, Kampala, Uganda
| | | | | | | | | | - Nana Pogosova
- National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Moscow, Russia
| | | | - Romana Iqbal
- Department of Medicine, Aga Khan University Hospitals in Karachi, Pakistan
| | - Rafael Diaz
- Estudios Clinicos Latinoamerica, Rosario, Argentina
| | - Khalid Yusoff
- UCSI University, Cheras, Kuala Lumpur 56000, Malaysia
| | - Afzalhussein Yusufali
- Hatta Hospital, Dubai Health Authority/Dubai Medical College, Dubai, United Arab Emirates
| | - Aytekin Oguz
- Istanbul Medeniyet Üniversitesi, Istanbul, Turkey
| | | | - Fernando Lanas
- Faculty of Medicine, Universidad de La Frontera, Temuco, Chile
| | - Okechukwu S. Ogah
- Division of Cardiovascular Medicine, Department of Medicine, University College Hospital, Ibadan PMB 5116, Nigeria
| | - A. Ogunniyi
- Department of Medicine, University College Hospital, Ibadan PMB 5116, Nigeria
| | | | | | | | | | | | - Yongchai Nilanont
- Neurology Division, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Salim Yusuf
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - INTERSTROKE Investigators
- Beijing Hypertension League Institute, Beijing, China
- National Genetic Resources Research Center, National Research Institute for Family Planning, Beijing, China
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
- NUI Galway, Galway, Ireland
- McGill University Health Centre, Montreal, QC, Canada
- St John's Medical College and Research Institute, Bangalore, India
- Fundacion Oftalmologica de Santander-Clinica Carlos Ardila Lulle (FOSCAL), Bucaramanga, Colombia
- Eduardo Mondlane University, Maputo, Mozambique
- Glasgow Royal Infirmary, University of Glasgow, Glasgow, Scotland, UK
- Sahlgrenska Academy and University Hospital, University of Gothenburg, Gothenburg, Sweden
- College of Medicine, University of Philippines, Manila, Philippines
- Al Shaab Teaching Hospital, Khartoum, Sudan
- Instituto Dante Pazzanese de Cardiologia, Sao Paulo, Brazil
- Uganda Heart Institute, Mulago Hospital, Kampala, Uganda
- Department of Neurology, University Hospital, Essen, Germany
- Institute of Psychiatry and Neurology, Warsaw, Poland
- National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Moscow, Russia
- Department of Medicine, Aga Khan University Hospitals in Karachi, Pakistan
- Estudios Clinicos Latinoamerica, Rosario, Argentina
- UCSI University, Cheras, Kuala Lumpur 56000, Malaysia
- Hatta Hospital, Dubai Health Authority/Dubai Medical College, Dubai, United Arab Emirates
- Istanbul Medeniyet Üniversitesi, Istanbul, Turkey
- Department of Cardiology, Hospital Luis Vernaza, Guayaquil, Ecuador
- Faculty of Medicine, Universidad de La Frontera, Temuco, Chile
- Division of Cardiovascular Medicine, Department of Medicine, University College Hospital, Ibadan PMB 5116, Nigeria
- Department of Medicine, University College Hospital, Ibadan PMB 5116, Nigeria
- Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Universidad Peruana Cayetano Heredia, Lima, Peru
- University of Split, Croatia
- Rush Alzheimer Disease Research Center in Chicago, Chicago, IL, USA
- University of Limpopo, Pretoria, South Africa
- Neurology Division, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
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Flor LS, Anderson JA, Ahmad N, Aravkin A, Carr S, Dai X, Gil GF, Hay SI, Malloy MJ, McLaughlin SA, Mullany EC, Murray CJL, O'Connell EM, Okereke C, Sorensen RJD, Whisnant J, Zheng P, Gakidou E. Health effects associated with exposure to secondhand smoke: a Burden of Proof study. Nat Med 2024; 30:149-167. [PMID: 38195750 PMCID: PMC10803272 DOI: 10.1038/s41591-023-02743-4] [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: 06/08/2023] [Accepted: 11/28/2023] [Indexed: 01/11/2024]
Abstract
Despite a gradual decline in smoking rates over time, exposure to secondhand smoke (SHS) continues to cause harm to nonsmokers, who are disproportionately children and women living in low- and middle-income countries. We comprehensively reviewed the literature published by July 2022 concerning the adverse impacts of SHS exposure on nine health outcomes. Following, we quantified each exposure-response association accounting for various sources of uncertainty and evaluated the strength of the evidence supporting our analyses using the Burden of Proof Risk Function methodology. We found all nine health outcomes to be associated with SHS exposure. We conservatively estimated that SHS increases the risk of ischemic heart disease, stroke, type 2 diabetes and lung cancer by at least around 8%, 5%, 1% and 1%, respectively, with the evidence supporting these harmful associations rated as weak (two stars). The evidence supporting the harmful associations between SHS and otitis media, asthma, lower respiratory infections, breast cancer and chronic obstructive pulmonary disease was weaker (one star). Despite the weak underlying evidence for these associations, our results reinforce the harmful effects of SHS on health and the need to prioritize advancing efforts to reduce active and passive smoking through a combination of public health policies and education initiatives.
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Affiliation(s)
- Luisa S Flor
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
| | - Jason A Anderson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Noah Ahmad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Aleksandr Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Sinclair Carr
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Xiaochen Dai
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Gabriela F Gil
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Matthew J Malloy
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Susan A McLaughlin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Erin C Mullany
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Erin M O'Connell
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Chukwuma Okereke
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Reed J D Sorensen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Joanna Whisnant
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Peng Zheng
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
| | - Emmanuela Gakidou
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2700] [Impact Index Per Article: 1350.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Arafa A, Kokubo Y, Kashima R, Teramoto M, Sakai Y, Nosaka S, Nakao YM, Watanabe E. The Lifelong Health Support 10: a Japanese prescription for a long and healthy life. Environ Health Prev Med 2022; 27:23. [PMID: 35675977 PMCID: PMC9251624 DOI: 10.1265/ehpm.22-00085] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 04/07/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Although the age-adjusted incidence and mortality of cancer and cardiovascular disease (CVD) have been decreasing steadily in Japan, both diseases remain major contributors to morbidity and mortality along with the aging society. Herein, we aim to provide a prescription of 10 health tips for long and healthy life named the "Lifelong Health Support 10 (LHS10)." METHOD The LHS10 was developed by the preventive medicine specialists at the National Cerebral and Cardiovascular Center in Suita, where it has been used for health guidance to prevent CVD, cancer, and cognitive decline in addition to their major risk factors such as hypertension, diabetes, and obesity. It consisted of the lifestyle modification recommendations of the 2014 Japanese Society of Hypertension guidelines and the 2017 Japan Atherosclerosis Society Guidelines for preventing atherosclerotic CVD. Further, it came in line with other international lifestyle modification guidelines. In this narrative review, we summarized the results of several Japanese epidemiological studies investigating the association between the LHS10 items and the risk of cancer, CVD, and other chronic diseases including dementia, diabetes, and chronic kidney disease. RESULTS The LHS10 included avoiding smoking and secondhand smoke exposure, engaging in physical activity, refraining from excessive alcohol drinking, reducing fried foods and sugary soft drinks, cutting salt in food, consuming more vegetables, fruits, fish, soy foods, and fibers, and maintaining proper body weight. All items of the LHS10 were shown to reduce the risk of cancer, CVD, and other chronic diseases. CONCLUSIONS The LHS10 can be a helpful tool for health guidance.
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Affiliation(s)
- Ahmed Arafa
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
- Department of Public Health, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Rena Kashima
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Masayuki Teramoto
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Yukie Sakai
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Saya Nosaka
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Youko M. Nakao
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Emi Watanabe
- Department of Food and Nutrition, Faculty of Contemporary Human Life Science, Tezukayama University, Nara, Japan
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Liu W, Wang B, Xiao Y, Wang D, Chen W. Secondhand smoking and neurological disease: a meta-analysis of cohort studies. REVIEWS ON ENVIRONMENTAL HEALTH 2021; 36:271-277. [PMID: 33128528 DOI: 10.1515/reveh-2020-0053] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 09/02/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The results of studies on the relationship between secondhand smoking and neurological disease remain controversial. We conducted a meta-analysis to explore the association between secondhand smoking and risk of neurological disease. METHODS Literature search was performed in PubMed, Embase and Web of Science through December 2019. We included cohort studies which examined the association between secondhand smoking and risk of neurological disease. According to the type of neurological disease, summary relative risks (RRs) with 95% confidence intervals (CIs) of stroke, cognitive impairment and Parkinson disease (PD) for secondhand smoking exposure were calculated. RESULTS A total of 14 unique articles (n=697,185 participants) were eventually included in the analysis. When all studies were pooled, the RR of stroke for secondhand smoking exposure was 1.20 (95% CI: 1.04, 1.38). When studies included only non-smokers, the pooled RR of stroke was 1.20 (95% CI: 1.05, 1.37). Summary RRs of cognitive impairment and PD for secondhand smoking exposure were 1.43 (95% CI: 1.02, 2.00) and 0.83 (95% CI: 0.72, 0.95), respectively. Summary RRs did not change significantly when excluding one study at a time. CONCLUSIONS Secondhand smoking was found to be positively associated with risks of stroke and cognitive impairment, while inversely associated with risk of PD. Overall, our finding is a reminder of the need to step up smoking bans to prevent health damage, and also suggests that more researches on biological mechanisms whereby secondhand smoking affect PD may be beneficial to PD prevention and treatment.
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Affiliation(s)
- Wei Liu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
| | - Yang Xiao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
| | - Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei430030, China
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Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation 2021; 143:e254-e743. [PMID: 33501848 DOI: 10.1161/cir.0000000000000950] [Citation(s) in RCA: 3220] [Impact Index Per Article: 1073.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. RESULTS Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Cho S, Rehni AK, Dave KR. Tobacco Use: A Major Risk Factor of Intracerebral Hemorrhage. J Stroke 2021; 23:37-50. [PMID: 33600701 PMCID: PMC7900392 DOI: 10.5853/jos.2020.04770] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 01/20/2021] [Indexed: 12/23/2022] Open
Abstract
Spontaneous intracerebral hemorrhage (sICH) is one of the deadliest subtypes of stroke, and no treatment is currently available. One of the major risk factors is tobacco use. In this article, we review literature on how tobacco use affects the risk of sICH and also summarize the known effects of tobacco use on outcomes following sICH. Several studies demonstrate that the risk of sICH is higher in current cigarette smokers compared to non-smokers. The literature also establishes that cigarette smoking not only increases the risk of sICH but also increases hematoma growth, results in worse outcomes, and increases the risk of death from sICH. This review also discusses potential mechanisms activated by tobacco use which result in an increase in risk and severity of sICH. Exploring the underlying mechanisms may help alleviate the risk of sICH in tobacco users as well as may help better manage tobacco user sICH patients.
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Affiliation(s)
- Sunjoo Cho
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, FL, USA.,Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Ashish K Rehni
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, FL, USA.,Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Kunjan R Dave
- Peritz Scheinberg Cerebral Vascular Disease Research Laboratories, University of Miami Miller School of Medicine, Miami, FL, USA.,Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA.,Department of Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL, USA
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9
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Dose-related effect of secondhand smoke on cardiovascular disease in nonsmokers: Systematic review and meta-analysis. Int J Hyg Environ Health 2020; 228:113546. [PMID: 32387882 DOI: 10.1016/j.ijheh.2020.113546] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 04/17/2020] [Accepted: 04/17/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Despite the positive association between secondhand smoke (SHS) and cardiovascular diseases (CVD), no comprehensive assessment on the dose-response relationship between SHS and CVD has yet been reported. Therefore, a meta-analysis was conducted to update the binary association, and to elucidate the dose-response relationship of both self-reported and objectively measured SHS exposure with CVD. METHODS PubMed and Embase databases were searched for articles published up to November 12, 2019. Random-effects models were used to assess the summary odds ratios (ORs) of CVD with SHS exposure. Restricted cubic splines were used to fit the dose-response relationship. RESULTS Fifty-five eligible observational studies were included in this meta-analysis to investigate the association between SHS exposure and CVD. Based on the meta-analysis, the pooled OR of CVD was 1.22 (95% CI 1.17-1.28) for the self-reported SHS individuals as comparing to the non-exposed group. The result of restricted cubic splines showed a risk plateau of SHS exposure at 15 cigarettes per day (Pnon-linearity = 0.042), while other characteristics s of SHS exposure (amount, daily and cumulative duration, and cotinine) were in linear relationships with CVD (Pnon-linearity >0.05). In addition, an estimated of 6.77% (95% CI: 5.31%-8.46%) of all CVD cases in men and 7.15% (95% CI: 5.62%-8.93%) in women might be attributed to SHS exposure worldwide. CONCLUSIONS Exposure to SHS is associated with an increased risk of CVD regardless of the modes. And thus, well-enforced smoke-free laws could possibly reduce a substantial risk of CVD caused by SHS.
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10
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The Association of Stage 1 Hypertension Defined by the 2017 ACC/AHA Guideline with Stroke and Its Subtypes among Elderly Chinese. BIOMED RESEARCH INTERNATIONAL 2020; 2020:4023787. [PMID: 32149103 PMCID: PMC7035505 DOI: 10.1155/2020/4023787] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 12/17/2019] [Accepted: 01/08/2020] [Indexed: 12/12/2022]
Abstract
Background The 2017 American College of Cardiology and American Heart Association hypertension guideline updated stage 1 hypertension definition as systolic blood pressure range from 130 to 139 mmHg or diastolic blood pressure from 80 to 89 mmHg. However, the association of stage 1 hypertension with stroke and its subtypes among the older population in rural China remains unclear. Methods This population-based cohort study consisted of 7,503 adults aged ≥60 years with complete data and no cardiovascular disease at baseline from rural areas of Fuxin County, Liaoning province, China. Follow-up for the new cases of stroke was conducted from the end of the baseline survey to the end of the third follow-up survey (January 1, 2007-December 31, 2017). Adjusted Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals with the normal blood pressure as a reference, and calculated population attributable risk was based on prevalence and hazard ratios. Results During a median follow-up of 12.5 years, we observed 1,159 first-ever incident stroke (774 ischemic, 360 hemorrhagic, and 25 uncategorized). With the blood pressure <120/<80 mmHg as a reference, stage 1 hypertension showed the adjusted hazard ratios (95% confidence intervals) of 1.45 (1.11-1.90) for all stroke, 1.65 (1.17-2.33) for ischemic stroke, and 1.17 (0.74-1.85) for hemorrhagic stroke, respectively. In this study, the population attributable risk values of stage 1 hypertension were 10.22% (2.64%-18.56%) for all stroke and 14.34% (4.23%-25.41%) for ischemic stroke. Conclusion Among adults aged ≥60 years in rural China, stage 1 hypertension defined by 2017 American College of Cardiology and American Heart Association hypertension guideline was independently associated with the increased risk of all stroke and ischemic stroke, excluding hemorrhagic stroke.
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11
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Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Shay CM, Spartano NL, Stokes A, Tirschwell DL, VanWagner LB, Tsao CW. Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association. Circulation 2020; 141:e139-e596. [PMID: 31992061 DOI: 10.1161/cir.0000000000000757] [Citation(s) in RCA: 4993] [Impact Index Per Article: 1248.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals. RESULTS Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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12
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Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O'Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation 2019; 139:e56-e528. [PMID: 30700139 DOI: 10.1161/cir.0000000000000659] [Citation(s) in RCA: 5463] [Impact Index Per Article: 1092.6] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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13
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Challenges and opportunities for greater tobacco control in Japan. THE INTERNATIONAL JOURNAL OF DRUG POLICY 2019; 70:78-86. [PMID: 31121458 DOI: 10.1016/j.drugpo.2019.05.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 03/26/2019] [Accepted: 05/03/2019] [Indexed: 11/21/2022]
Abstract
Japan is a high tobacco burden country with over 20 million smokers in 2017. Tobacco control measures in Japan has been criticised as largely inadequate and ineffective despite ratifying the World Health Organization's Framework Convention on Tobacco Control in 2004. Numerous factors such as pro-tobacco legislators, regulatory oversight of the primary Japanese tobacco company from the Ministry of Finance and industry interference on the policy-making process in Japan have prevented aggressive tobacco control efforts. Given the intricate challenges in Japan, it is important to develop feasible and effective smoking cessation strategies. In this paper, we have analysed the trends in tobacco prices, sale and smoking prevalence, major tobacco/smoking policies and some of the industry-related challenges that have prevented the development of effective tobacco control measures in Japan. We have emphasised the need for stronger implementation of the World Health Organization's Framework Convention on Tobacco Control and its MPOWER policy package and to separate the tobacco industry from the tobacco control policymaking process to promote cessation and abstinence from smoking and better sensitisation against exposure to second-hand smoke.
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14
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Kinoshita M, Yokote K, Arai H, Iida M, Ishigaki Y, Ishibashi S, Umemoto S, Egusa G, Ohmura H, Okamura T, Kihara S, Koba S, Saito I, Shoji T, Daida H, Tsukamoto K, Deguchi J, Dohi S, Dobashi K, Hamaguchi H, Hara M, Hiro T, Biro S, Fujioka Y, Maruyama C, Miyamoto Y, Murakami Y, Yokode M, Yoshida H, Rakugi H, Wakatsuki A, Yamashita S. Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2017. J Atheroscler Thromb 2018; 25:846-984. [PMID: 30135334 PMCID: PMC6143773 DOI: 10.5551/jat.gl2017] [Citation(s) in RCA: 511] [Impact Index Per Article: 85.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 06/11/2018] [Indexed: 11/30/2022] Open
Affiliation(s)
| | - Koutaro Yokote
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Mami Iida
- Department of Internal Medicine and Cardiology, Gifu Prefectural General Medical Center, Gifu, Japan
| | - Yasushi Ishigaki
- Division of Diabetes and Metabolism, Department of Internal Medicine, Iwate Medical University, Iwate, Japan
| | - Shun Ishibashi
- Division of Endocrinology and Metabolism, Department of Medicine, Jichi Medical University, Tochigi, Japan
| | - Seiji Umemoto
- Center for Integrated Medical Research, Hiroshima University Hospital, Hiroshima, Japan
| | | | - Hirotoshi Ohmura
- Department of Cardiovascular Medicine, Juntendo University, Tokyo, Japan
| | - Tomonori Okamura
- Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Shinji Kihara
- Biomedical Informatics, Osaka University, Osaka, Japan
| | - Shinji Koba
- Division of Cardiology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Isao Saito
- Department of Community Health Systems Nursing, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Tetsuo Shoji
- Department of Vascular Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Hiroyuki Daida
- Department of Cardiovascular Medicine, Juntendo University, Tokyo, Japan
| | - Kazuhisa Tsukamoto
- Department of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan
| | - Juno Deguchi
- Department of Vascular Surgery, Saitama Medical Center, Saitama, Japan
| | - Seitaro Dohi
- Chief Health Management Department, Mitsui Chemicals Inc., Tokyo, Japan
| | - Kazushige Dobashi
- Department of Pediatrics, Showa University School of Medicine, Tokyo, Japan
| | | | - Masumi Hara
- Department of Internal Medicine, Mizonokuchi Hospital, Teikyo University School of Medicine, Kanagawa, Japan
| | - Takafumi Hiro
- Division of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan
| | | | - Yoshio Fujioka
- Faculty of Nutrition, Division of Clinical Nutrition, Kobe Gakuin University, Hyogo, Japan
| | - Chizuko Maruyama
- Department of Food and Nutrition, Faculty of Human Sciences and Design, Japan Women's University, Tokyo, Japan
| | - Yoshihiro Miyamoto
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | | | - Masayuki Yokode
- Department of Clinical Innovative Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hiroshi Yoshida
- Department of Laboratory Medicine, Jikei University Kashiwa Hospital, Chiba, Japan
| | - Hiromi Rakugi
- Department of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Akihiko Wakatsuki
- Department of Obstetrics and Gynecology, Aichi Medical University, Aichi, Japan
| | - Shizuya Yamashita
- Department of Community Medicine, Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
- Rinku General Medical Center, Osaka, Japan
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15
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Benjamin EJ, Virani SS, Callaway CW, Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling FN, Deo R, de Ferranti SD, Ferguson JF, Fornage M, Gillespie C, Isasi CR, Jiménez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Lutsey PL, Mackey JS, Matchar DB, Matsushita K, Mussolino ME, Nasir K, O'Flaherty M, Palaniappan LP, Pandey A, Pandey DK, Reeves MJ, Ritchey MD, Rodriguez CJ, Roth GA, Rosamond WD, Sampson UKA, Satou GM, Shah SH, Spartano NL, Tirschwell DL, Tsao CW, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P. Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association. Circulation 2018; 137:e67-e492. [PMID: 29386200 DOI: 10.1161/cir.0000000000000558] [Citation(s) in RCA: 4566] [Impact Index Per Article: 761.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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16
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Distinct Roles of CREB Within the Ventral and Dorsal Hippocampus in Mediating Nicotine Withdrawal Phenotypes. Neuropsychopharmacology 2017; 42:1599-1609. [PMID: 27848935 PMCID: PMC5518892 DOI: 10.1038/npp.2016.257] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 10/12/2016] [Accepted: 11/09/2016] [Indexed: 01/06/2023]
Abstract
Addiction to nicotine and the inability to quit smoking are influenced by genetic factors, emphasizing the importance of understanding how genes and drugs of abuse mechanistically impact each other. One well-characterized protein responsible for regulating both response to drugs and gene expression is the transcription factor CREB (cAMP-responsive element binding protein). Previous work indicates that hippocampal-specific alterations in CREB signaling and synaptic plasticity may underlie certain nicotine withdrawal phenotypes. However, the structure of the hippocampus possesses dorsal and ventral subregions, each differing in behavioral, anatomic and gene expression characteristics. This study examines the effects of CREB deletion specifically in the ventral or dorsal hippocampus of animals chronically treated with saline, nicotine, or undergoing 24 h withdrawal. After region-specific viral injections of AAV-GFP or AAV-CRE in CREBloxP/loxP animals, behavioral testing measured anxiety levels, using the Novelty-Induced Hypophagia test, and cognition, using a contextual fear conditioning paradigm. Deletion of CREB in the ventral, but not dorsal, hippocampus resulted in amelioration of nicotine withdrawal-induced anxiety-like behavior in the Novelty-Induced Hypophagia test. In contrast, CREB deletion in the dorsal hippocampus resulted in learning and memory deficits in fear conditioning, whereas CREB deletion in the ventral hippocampus showed an enhancement in learning. Gene expression analysis showed differential treatment- and region-dependent alterations of several CREB target genes that are well-known markers of neuroplasticity within the hippocampus. Collectively, these data provide persuasive evidence towards the distinct roles of CREB within the dorsal and ventral hippocampus separately in mediating select nicotine withdrawal phenotypes.
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17
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Lin H, Guo Y, Di Q, Zheng Y, Kowal P, Xiao J, Liu T, Li X, Zeng W, Howard SW, Nelson EJ, Qian Z, Ma W, Wu F. Ambient PM 2.5 and Stroke: Effect Modifiers and Population Attributable Risk in Six Low- and Middle-Income Countries. Stroke 2017; 48:1191-1197. [PMID: 28386038 DOI: 10.1161/strokeaha.116.015739] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Revised: 02/26/2017] [Accepted: 03/02/2017] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND PURPOSE Short-term exposure to ambient fine particulate pollution (PM2.5) has been linked to increased stroke. Few studies, however, have examined the effects of long-term exposure. METHODS A total of 45 625 participants were interviewed and included in this study, the participants came from the Study on Global Ageing and Adult Health, a prospective cohort in 6 low- and middle-income countries. Ambient PM2.5 levels were estimated for participants' communities using satellite data. A multilevel logistic regression model was used to examine the association between long-term PM2.5 exposure and stroke. Potential effect modification by physical activity and consumption of fruit and vegetables was assessed. RESULTS The odds of stroke were 1.13 (95% confidence interval, 1.04-1.22) for each 10 μg/m3 increase in PM2.5. This effect remained after adjustment for confounding factors including age, sex, smoking, and indoor air pollution (adjusted odds ratio=1.12; 95% confidence interval, 1.04-1.21). Further stratified analyses suggested that participants with higher levels of physical activity had greater odds of stroke, whereas those with higher consumption of fruit and vegetables had lower odds of stroke. These effects remained robust in sensitivity analyses. We further estimated that 6.55% (95% confidence interval, 1.97%-12.01%) of the stroke cases could be attributable to ambient PM2.5 in the study population. CONCLUSIONS This study suggests that ambient PM2.5 may increase the risk of stroke and may be responsible for the astounding stroke burden in low- and middle-income countries. In addition, greater physical activity may enhance, whereas greater consumption of fruit and vegetables may mitigate the effect.
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Affiliation(s)
- Hualiang Lin
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Yanfei Guo
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Qian Di
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Yang Zheng
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Paul Kowal
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Jianpeng Xiao
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Tao Liu
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Xing Li
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Weilin Zeng
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Steven W Howard
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Erik J Nelson
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Zhengmin Qian
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.).
| | - Wenjun Ma
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
| | - Fan Wu
- From the Guangdong Provincial Institute of Public Health, Guangzhou, China (H.L., J.X., T.L., X.L., W.Z.,W.M.); Shanghai Municipal Centre for Disease Control and Prevention, China (Y.G., Y.Z., F.W.); Harvard T.H. Chan School of Public Health, Boston, MA (Q.D.); Department of Health Statistics and Information Systems, World Health Organization, WHO SAGE, Geneva, Switzerland (P.K.); University of Newcastle Research Centre on Gender, Health and Ageing, Australia (P.K.); Saint Louis University College for Public Health and Social Justice, Missouri (S.H., Z.Q.); Department of Epidemiology and Biostatistics, IU School of Public Health-Bloomington, Indiana (E.N.)
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18
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Hou L, Han W, Jiang J, Liu B, Wu Y, Zou X, Xue F, Chen Y, Zhang B, Pang H, Wang Y, Wang Z, Hu Y, Li J. Passive smoking and stroke in men and women: a national population-based case-control study in China. Sci Rep 2017; 7:45542. [PMID: 28361935 PMCID: PMC5374519 DOI: 10.1038/srep45542] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 02/27/2017] [Indexed: 12/27/2022] Open
Abstract
An association between passive smoking and stroke is unclear in China, particularly the association with hemorrhagic stroke. This study included 16205 deaths due to stroke aged ≥30 years and 16205 non-stroke controls randomly selected and frequency-matched to cases on gender and age. Smoking of spouses, defined as ≥1 cigarette per day for up to 1 year, was taken as a measure of exposure to passive smoking of subjects that was retrospectively ascertained by interviewing surviving spouses. After adjustment for variables, passive smoking increased the risk of death by 10% (odds ratio (OR), 1.10; 95% confidence interval (CI), 1.05-1.16) for all strokes, by 10% (OR, 1.10; 95% CI, 1.04-1.16) for hemorrhagic stroke, and by 12% (OR, 1.12; 95% CI, 1.03-1.23) for ischemic stroke, compared with non-exposure. This finding was highly consistent in men or women and in smokers or non-smokers, and was generally consistent among zones of China despite geographic diversity. The risk significantly increased with exposure-years and quantity of cigarettes smoked daily by spouses. This study indicated that passive smoking is associated with deaths from all-type strokes. It is highly advisable for the government to promote strong tobacco prevention and cessation programs and smoke-free environments.
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Affiliation(s)
- Lei Hou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences/School of Basic Medicine Peking Union Medical College, Beijing, China
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Han
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences/School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Jingmei Jiang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences/School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Boqi Liu
- Cancer Institute & Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Yanping Wu
- Cancer Institute & Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Xiaonong Zou
- Cancer Institute & Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Fang Xue
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences/School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Yuanli Chen
- Cancer Institute & Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Biao Zhang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences/School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Haiyu Pang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences/School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Yuyan Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences/School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Zixing Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences/School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Yaoda Hu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences/School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Junyao Li
- Cancer Institute & Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
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19
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Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, de Ferranti SD, Floyd J, Fornage M, Gillespie C, Isasi CR, Jiménez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Mackey RH, Matsushita K, Mozaffarian D, Mussolino ME, Nasir K, Neumar RW, Palaniappan L, Pandey DK, Thiagarajan RR, Reeves MJ, Ritchey M, Rodriguez CJ, Roth GA, Rosamond WD, Sasson C, Towfighi A, Tsao CW, Turner MB, Virani SS, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation 2017; 135:e146-e603. [PMID: 28122885 PMCID: PMC5408160 DOI: 10.1161/cir.0000000000000485] [Citation(s) in RCA: 6165] [Impact Index Per Article: 880.7] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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20
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da Silveira Fleck A, Carneiro MFH, Barbosa F, Thiesen FV, Amantea SL, Rhoden CR. Monitoring an outdoor smoking area by means of PM 2.5 measurement and vegetal biomonitoring. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2016; 23:21187-21194. [PMID: 26662301 DOI: 10.1007/s11356-015-5878-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Accepted: 11/24/2015] [Indexed: 06/05/2023]
Abstract
The extension of pollutant accumulation in plant leaves associated with its genotoxicity is a common approach to predict the quality of outdoor environments. However, this approach has not been used to evaluate the environmental quality of outdoor smoking areas. This study aims to evaluate the effects of environmental tobacco smoke (ETS) by assessing particulate matter 2.5 μm (PM2.5) levels, the pollen abortion assay, and trace elements accumulated in plant leaves in an outdoor smoking area of a hospital. For this, PM2.5 was measured by active monitoring with a real time aerosol monitor for 10 days. Eugenia uniflora trees were used for pollen abortion and accumulated element assays. Accumulated elements were also assessed in Tradescantia pallida leaves. The median concentration of PM2.5 in the smoking area in all days of monitoring was 66 versus 34 μg/m3 in the control area (P < 0.001). In addition, the elements Al, Cd, Cu, Ni, Pb, Rb, Sb, Se, and V in Tradescantia pallida and Al, Ba, Cr, Cu, Fe, Mg, Pb, and Zn in Eugenia uniflora were in higher concentration in the smoking area when compared to control area. Smoking area also showed higher rate of aborted grains (26.1 ± 10.7 %) compared with control (17.6 ± 4.5 %) (P = 0.003). Under the study conditions, vegetal biomonitoring proved to be an effective tool for assessing ETS exposure in outdoor areas. Therefore, vegetal biomonitoring of ETS could be a complement to conventional analyses and also proved to be a cheap and easy-handling tool to assess the risk of ETS exposure in outdoor areas.
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Affiliation(s)
- Alan da Silveira Fleck
- Laboratório de Estresse Oxidativo e Poluição Atmosférica, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Rua Sarmento Leite, 245, Prédio 3, CEP: 90050-170, Porto Alegre, RS, Brazil
| | - Maria Fernanda Hornos Carneiro
- Laboratório de Toxicologia e Essencialidade de Metais, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| | - Fernando Barbosa
- Laboratório de Toxicologia e Essencialidade de Metais, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| | - Flavia Valladão Thiesen
- Instituto de Toxicologia, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Sergio Luis Amantea
- Laboratório de Estresse Oxidativo e Poluição Atmosférica, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Rua Sarmento Leite, 245, Prédio 3, CEP: 90050-170, Porto Alegre, RS, Brazil
- Instituto de Educação e Pesquisa (IEP)-Hospital Moinhos de Vento, Porto Alegre, RS, Brazil
| | - Claudia Ramos Rhoden
- Laboratório de Estresse Oxidativo e Poluição Atmosférica, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Rua Sarmento Leite, 245, Prédio 3, CEP: 90050-170, Porto Alegre, RS, Brazil.
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21
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Lee PN, Thornton AJ, Forey BA, Hamling JS. Environmental Tobacco Smoke Exposure and Risk of Stroke in Never Smokers: An Updated Review with Meta-Analysis. J Stroke Cerebrovasc Dis 2016; 26:204-216. [PMID: 27765554 DOI: 10.1016/j.jstrokecerebrovasdis.2016.09.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Revised: 08/09/2016] [Accepted: 09/12/2016] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES The study aimed to review the epidemiological evidence relating environmental tobacco smoke exposure to stroke in never smokers. METHODS The study is similar to our review in 2006, with searches extended to March 2016. RESULTS Twelve further studies were identified. A total of 28 studies varied considerably in design, exposure indices used, and disease definition. Based on 39 sex-specific estimates and the exposure index current spousal exposure (or nearest equivalent), the meta-analysis gave an overall fixed-effect relative risk estimate of 1.23 (95% confidence interval: 1.16-1.31), with significant (P < .05) heterogeneity. There was no significant heterogeneity by sex, continent, fatality, disease end point, or degree of adjustment for potential confounding factors. Relative risks were less elevated in prospective studies (1.15, 1.06-1.24) than in case-control studies (1.44, 1.22-1.60) or cross-sectional studies (1.40, 1.21-1.61). They also varied by publication year, but with no trend. A significant increase was not seen in studies that excluded smokers of any tobacco (1.07, .97-1.17), but was seen for studies that included pipe- or cigar-only smokers, occasional smokers, or long-term former smokers. No elevation was seen for hemorrhagic stroke. Relative risk estimates were similar using ever rather than current exposure, or total rather than spousal exposure. Eleven studies provided dose-response estimates, the combined relative risk for the highest exposure level being 1.56 (1.37-1.79). Many studies have evident weaknesses, recall bias, and particularly publication bias being major concerns. CONCLUSIONS Although other reviewers inferred a causal relationship, we consider the evidence does not conclusively demonstrate this. We repeat our call for publication of data from existing large prospective studies.
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Affiliation(s)
- Peter N Lee
- PN Lee Statistics and Computing Ltd, Sutton, Surrey, United Kingdom.
| | | | - Barbara A Forey
- PN Lee Statistics and Computing Ltd, Sutton, Surrey, United Kingdom
| | - Jan S Hamling
- PN Lee Statistics and Computing Ltd, Sutton, Surrey, United Kingdom
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22
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Kim J, Yoon K, Choi JC, Kim H, Song JK. The association between wind-related variables and stroke symptom onset: A case-crossover study on Jeju Island. ENVIRONMENTAL RESEARCH 2016; 150:97-105. [PMID: 27268974 DOI: 10.1016/j.envres.2016.05.041] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Revised: 05/19/2016] [Accepted: 05/20/2016] [Indexed: 06/06/2023]
Abstract
BACKGROUND Although several studies have investigated the effects of ambient temperature on the risk of stroke, few studies have examined the relationship between other meteorological conditions and stroke. Therefore, the aim of this study was to analyze the association between wind-related variables and stroke symptoms onset. METHODS Data regarding the onset of stroke symptoms occurring between January 1, 2006, and December 31, 2007 on Jeju Island were collected from the Jeju National University Hospital stroke registry. A fixed-strata case-crossover analysis based on time of onset and adjusted for ambient temperature, relative humidity, air pressure, and pollutants was used to analyze the effects of wind speed, the daily wind speed range (DWR), and the wind chill index on stroke symptom onset using varied lag terms. Models examining the modification effects by age, sex, smoking status, season, and type of stroke were also analyzed. RESULTS A total of 409 stroke events (381 ischemic and 28 hemorrhagic) were registered between 2006 and 2007. The odds ratios (ORs) for wind speed, DWR, and wind chill among the total sample at lag 0-8 were 1.18 (95% confidence interval (CI): 1.06-1.31), 1.08 (95% CI: 1.02-1.14), and 1.22 (95% CI: 1.07-1.39) respectively. The ORs for wind speed, DWR, and wind chill for ischemic stroke patients were slightly greater than for patients in the total sample (OR=1.20, 95% CI: 1.08-1.34; OR=1.09, 95% CI: 1.03-1.15; and OR=1.22, 95% CI: 1.07-1.39, respectively). Statistically significant season-specific effects were found for spring and winter, and various delayed effects were observed. In addition, age, sex, and smoking status modified the effect size of wind speed, DWR, and wind chill. CONCLUSIONS Our analyses showed that the risk of stroke symptoms onset was associated with wind speed, DWR, and wind chill on Jeju Island.
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Affiliation(s)
- Jayeun Kim
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Kyuhyun Yoon
- Nursing Science Research Institute, Chung-Ang University, Seoul, Republic of Korea
| | - Jay Chol Choi
- Department of Neurology, School of Medicine, Jeju National University, Jeju, Republic of Korea
| | - Ho Kim
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea; Department of Biostatistics and Epidemiology, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Jung-Kook Song
- Department of Preventive Medicine, School of Medicine, Jeju National University, 1-Ara-1-dong, Jeju-si, Jeju, Republic of Korea.
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23
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Morris PB, Ference BA, Jahangir E, Feldman DN, Ryan JJ, Bahrami H, El-Chami MF, Bhakta S, Winchester DE, Al-Mallah MH, Sanchez Shields M, Deedwania P, Mehta LS, Phan BAP, Benowitz NL. Cardiovascular Effects of Exposure to Cigarette Smoke and Electronic Cigarettes: Clinical Perspectives From the Prevention of Cardiovascular Disease Section Leadership Council and Early Career Councils of the American College of Cardiology. J Am Coll Cardiol 2016; 66:1378-91. [PMID: 26383726 DOI: 10.1016/j.jacc.2015.07.037] [Citation(s) in RCA: 136] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2015] [Revised: 07/12/2015] [Accepted: 07/14/2015] [Indexed: 02/07/2023]
Abstract
Cardiovascular morbidity and mortality as a result of inhaled tobacco products continues to be a global healthcare crisis, particularly in low- and middle-income nations lacking the infrastructure to develop and implement effective public health policies limiting tobacco use. Following initiation of public awareness campaigns 50 years ago in the United States, considerable success has been achieved in reducing the prevalence of cigarette smoking and exposure to secondhand smoke. However, there has been a slowing of cessation rates in the United States during recent years, possibly caused by high residual addiction or fatigue from cessation messaging. Furthermore, tobacco products have continued to evolve faster than the scientific understanding of their biological effects. This review considers selected updates on the genetics and epigenetics of smoking behavior and associated cardiovascular risk, mechanisms of atherogenesis and thrombosis, clinical effects of smoking and benefits of cessation, and potential impact of electronic cigarettes on cardiovascular health.
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Affiliation(s)
- Pamela B Morris
- Medical University of South Carolina, Charleston, South Carolina.
| | - Brian A Ference
- Wayne State University School of Medicine, Detroit, Michigan
| | - Eiman Jahangir
- John Ochsner Heart and Vascular Institute, Ochsner Clinical School-The University of Queensland School of Medicine, New Orleans, Louisiana
| | | | - John J Ryan
- University of Utah Health Science Center, Salt Lake City, Utah
| | - Hossein Bahrami
- Stanford Cardiovascular Institute, Stanford University, Stanford, California
| | | | - Shyam Bhakta
- Northeast Ohio Medical University College of Medicine, Rootstown, Ohio
| | | | - Mouaz H Al-Mallah
- Wayne State University School of Medicine, Detroit, Michigan; King Abdul-Aziz Cardiac Center, Riyadh, Saudi Arabia
| | | | | | | | - Binh An P Phan
- University of California, San Francisco, San Francisco, California
| | - Neal L Benowitz
- University of California, San Francisco, San Francisco, California
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24
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Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, Das SR, de Ferranti S, Després JP, Fullerton HJ, Howard VJ, Huffman MD, Isasi CR, Jiménez MC, Judd SE, Kissela BM, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Magid DJ, McGuire DK, Mohler ER, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Rosamond W, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Woo D, Yeh RW, Turner MB. Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association. Circulation 2015; 133:e38-360. [PMID: 26673558 DOI: 10.1161/cir.0000000000000350] [Citation(s) in RCA: 3744] [Impact Index Per Article: 416.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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25
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Meng Q, Huang L, Sun Y, Bai Y, Wang B, Yu W, Zhao M, Li X. Effect of High-Density Lipoprotein Metabolic Pathway Gene Variations and Risk Factors on Neovascular Age-Related Macular Degeneration and Polypoidal Choroidal Vasculopathy in China. PLoS One 2015; 10:e0143924. [PMID: 26624898 PMCID: PMC4666634 DOI: 10.1371/journal.pone.0143924] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 11/11/2015] [Indexed: 01/07/2023] Open
Abstract
Purpose To investigate the effect of genetic variants in the high-density lipoprotein (HDL) metabolic pathway and risk factors on neovascular age-related macular degeneration (nAMD) and polypoidal choroidal vasculopathy (PCV) in China. Methods A total of 742 Chinese subjects, including 221 controls, 230 cases with nAMD, and 291 cases with PCV, were included in the present study. Five single nucleotide polymorphisms (SNPs) from three genes in the HDL metabolic pathway (HDLMP) including cholesteryl ester transfer protein (CETP), hepatic lipase (LIPC) and lipoprotein lipase (LPL) were genotyped in all study subjects with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Risk factors including gender, hypertension, hyperlipidemia, diabetes mellitus, and coronary artery disease were identified. Chi-square tests or Fisher’s exact tests were applied to discover associations between SNPs and risk factors for PCV and nAMD. Gene-gene interactions and gene-environment interactions were evaluated by the multifactor-dimensionality reduction (MDR) method. Results CETP rs3764261 were significantly associated with an increased risk for PCV (odds ratio (OR) = 1.444, P = 0.0247). LIPC rs1532085 conferred an increased risk for PCV (OR = 1.393, P = 0.0094). We found no association between PCV and LPL rs12678919, LIPC rs10468017 or CETP rs173539. No association was found between five SNPs with nAMD. Regarding risk factors, females were found to have significantly decreased risks for both PCV and nAMD (P = 0.006 and 0.001, respectively). Coronary artery disease (CAD) was a risk factor in PCV patients but played a protective role in nAMD patients. Hyperlipidemia was associated with PCV but not with nAMD. Neither hypertension nor diabetes mellitus was associated with PCV or nAMD. The MDR analysis revealed that a three-locus model with rs12678919, rs1532085, and gender was the best model for nAMD, while a five-locus model consisting of rs10468017, rs3764261, rs1532085, gender, and hyperlipidemia was best for PCV. Conclusion Our large-sample study suggested that CETP rs3764261 conferred an increased risk for PCV. We also first found the association between rs1532085 and PCV. The result of present study also showed that gender and CAD are associated with PCV and nAMD. Significant association was found between hyperlipidemia and PCV but not nAMD.
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Affiliation(s)
- Qingyu Meng
- Peking University People’s Hospital, Ophthalmology Department, Beijing, China
- Key Laboratory of Vision Loss and Restoration, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
| | - Lvzhen Huang
- Peking University People’s Hospital, Ophthalmology Department, Beijing, China
- Key Laboratory of Vision Loss and Restoration, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
| | - Yaoyao Sun
- Peking University People’s Hospital, Ophthalmology Department, Beijing, China
- Key Laboratory of Vision Loss and Restoration, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
| | - Yujing Bai
- Peking University People’s Hospital, Ophthalmology Department, Beijing, China
- Key Laboratory of Vision Loss and Restoration, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
| | - Bin Wang
- Peking University People’s Hospital, Ophthalmology Department, Beijing, China
- Key Laboratory of Vision Loss and Restoration, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
| | - Wenzhen Yu
- Peking University People’s Hospital, Ophthalmology Department, Beijing, China
- Key Laboratory of Vision Loss and Restoration, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
| | - Mingwei Zhao
- Peking University People’s Hospital, Ophthalmology Department, Beijing, China
- Key Laboratory of Vision Loss and Restoration, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
- * E-mail: (MZ); (XL)
| | - Xiaoxin Li
- Peking University People’s Hospital, Ophthalmology Department, Beijing, China
- Key Laboratory of Vision Loss and Restoration, Ministry of Education, Beijing, China
- Beijing Key Laboratory of Diagnosis and Therapy of Retinal and Choroid Diseases, Beijing, China
- * E-mail: (MZ); (XL)
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Yang S, He Y, Liu M, Wang Y, Wu L, Wang J, Zhang D, Zeng J, Jiang B, Li X. Changes in and patterns of smoking exposure in an elderly urban population in Beijing: 2001-2010. PLoS One 2015; 10:e0118500. [PMID: 25785722 PMCID: PMC4364981 DOI: 10.1371/journal.pone.0118500] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2014] [Accepted: 01/19/2015] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE The study aims to explore the patterns and changes of active and passive smoking in the elderly population. METHODS Two cross-sectional surveys with representative samples of urban populations, aged between 60 and 95 years old, were conducted in 2001 and 2010 in Beijing. A current smoker was defined as a person who smoked a tobacco product at the time of the survey, and a passive smoker was defined as a person who had been exposed to smoke exhaled by a smoker for more than 15 minutes per day more than once per week. RESULTS A total of 2,277 participants in 2001 and 2,102 participants in 2010 completed the survey. The current smoking prevalence changed slightly in males (24.7 vs. 21.2%, P = 0.081), while the prevalence in females decreased significantly from 8.8% (95% CI: 7.3-10.3%) in 2001 to 4.1% (95% CI: 3.0-5.2%) in 2010 (P<0.001). The prevalence of passive smoking was 30.5% (95% CI: 28.6-32.4%) in 2001 and 30.0% (95% CI: 28.1-32.0%) in 2010. The main source of secondhand smoke switched from a spouse in 2001 to offspring in 2010. This trend was observed in both sexes. Passive smoking in males from a smoking spouse decreased from 5.7% to 2.4% (P<0.001), while that from smoking offspring increased from 7.3 to 14.5% (P<0.001). Passive smoking in females from a spouse decreased from 30.6 to 17.6%, while that from offspring increased from 5.3 to 15.4% (P<0.001). CONCLUSION Offspring became the main source of secondhand smoke for the elderly. Our findings demonstrated the importance of implementing smoking prevention programs, to educate older adults who live with a smoking spouse and/or offspring.
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Affiliation(s)
- Shanshan Yang
- Institute of Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- Beijing Key Laboratory of Aging and Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- Jinan Military Area CDC, Jinan, Shandong, 250014, China
| | - Yao He
- Institute of Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- Beijing Key Laboratory of Aging and Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- State Key Laboratory of Kidney Disease, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- * E-mail:
| | - Miao Liu
- Institute of Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- Beijing Key Laboratory of Aging and Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Yiyan Wang
- Institute of Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- Beijing Key Laboratory of Aging and Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Lei Wu
- Institute of Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- Beijing Key Laboratory of Aging and Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Jianhua Wang
- Institute of Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- Beijing Key Laboratory of Aging and Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Di Zhang
- Institute of Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- Beijing Key Laboratory of Aging and Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Jing Zeng
- Institute of Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
- Beijing Key Laboratory of Aging and Geriatrics, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Bin Jiang
- Department of Chinese Traditional Medicine and Acupuncture, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Xiaoying Li
- Department of Geriatric Cardiology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
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