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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: 0] [Impact Index Per Article: 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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Naseeb U, Alam MT, Pervez F, Mustafa MS, Azam U, Laila S, Shafique MA. Knowledge, Attitude, and Perception of Passive Smoking Among Medical and Dental Students of Karachi: A Survey-Based Study. Tob Use Insights 2024; 17:1179173X241258347. [PMID: 38800830 PMCID: PMC11119405 DOI: 10.1177/1179173x241258347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 05/14/2024] [Indexed: 05/29/2024] Open
Abstract
Background Passive smoking, the involuntary inhalation of tobacco smoke, poses significant health risks; however, its prevalence and impact on medical and dental students in Karachi, Pakistan, remain understudied. Therefore, this research aims to understand the knowledge, attitudes, and practices (KAP) regarding passive smoking among medical and dental students and will help shed light on their awareness, perceptions, and behaviours regarding this public health concern. Methods A cross-sectional study was conducted over 3 months, involving 378 medical and dental students (303 medical and 75 dental students)from various universities in Karachi. Participants completed a questionnaire to gather information on demographics, awareness of passive smoking, perceptions of its health effects, and actions taken in response to exposure. Results The majority of participants demonstrated awareness of passive smoking 320 (84.7%) and believed that it was essentially linked to active smoking 320 (84.7%). Cigarette smoke was identified as the primary contributor to passive smoking 345 (91.3%). A significant proportion of participants believed that children and pregnant women exposed to passive smoking had elevated health risks. In areas where smoking is not permissible, less than half of the participants 173 (45.8%) reminded smokers about the smoking regulations, and a few even referred smokers for counselling 141 (37.3%). Males are usually indifferent to smokers around them, whereas females are found uncomfortable with smoking in their surroundings. Conclusion In conclusion, our study highlights the persistent prevalence of passive smoking among medical and dental students in Pakistan. Enforcing strict tobacco control policies, integrating passive smoking education into medical curricula, and improving communication strategies for smoking cessation interventions are crucial steps towards creating smoke-free environments and healthier lifestyles nationwide. Despite awareness among medical and dental students about the dangers of cigarette smoking, their reluctance to urge regular smokers to quit underscores the need for improved communication between smokers and non-smokers to foster a cleaner and hazard-free environment.
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Affiliation(s)
- Uzma Naseeb
- Department of Biochemistry, Jinnah Sindh Medical University, Karachi, Pakistan
| | | | - Faariah Pervez
- Department of Medicine, Jinnah Sindh Medical University, Karachi, Pakistan
| | | | - Umama Azam
- Department of Medicine, Jinnah Sindh Medical University, Karachi, Pakistan
| | - Sindhu Laila
- Department of Medicine, Jinnah Sindh Medical University, Karachi, Pakistan
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Lin F, Chen X, Shi Y, Yang K, Hu G, Zhuang W, Lin Y, Huang T, Ye Q, Cai G, Wu X. Early-life tobacco smoke exposure and stroke risk: a prospective study of 341,783 and 352,737 UK Biobank participants. BMC Public Health 2024; 24:1339. [PMID: 38760724 PMCID: PMC11102258 DOI: 10.1186/s12889-024-18588-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 04/14/2024] [Indexed: 05/19/2024] Open
Abstract
INTRODUCTION Stroke is a life-threatening condition that causes a major medical burden globally. The currently used methods for the prevention or prediction of stroke have certain limitations. Exposure to tobacco in early life, including smoking during adolescence and maternal smoking during pregnancy, can affect adolescent development and lead to several negative outcomes. However, the association between early-life tobacco exposure and stroke is not known. METHODS In this prospective cohort study, for the analyses involving exposure to maternal smoking during pregnancy and age of smoking initiation, we included 304,984 and 342,893 participants, respectively., respectively from the UK Biobank. Cox proportional hazard regression model and subgroup analyses were performed to investigate the association between early-life tobacco exposure and stroke. Mediation analyses were performed to identify the mediating role of biological aging in the association between early tobacco exposure and stroke. RESULTS Compared with participants whose mothers did not smoke during pregnancy, participants whose mothers smoked during pregnancy showed an 11% increased risk of stroke (HR: 1.11, 95% CI: 1.05-1.18, P < 0.001). Compared with participants who never smoked, participants who smoked during adulthood, adolescence and childhood showed a 22%, 24%, and 38% increased risk of stroke during their adulthood, respectively. Mediation analysis indicated that early-life tobacco exposure can cause stroke by increasing biological aging. CONCLUSION This study reveals that exposure to tobacco during early life is associated with an increased risk of experiencing a stroke, and increased biological aging can be the underlying mechanism.
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Affiliation(s)
- Fabin Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
- Department of Neurosurgery, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
| | - Xuanjie Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Yisen Shi
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Kaitai Yang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Guoping Hu
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Weijiang Zhuang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Yifei Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Tingting Huang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China
- Fujian Medical University, Fuzhou, China
| | - Qinyong Ye
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China.
- Fujian Medical University, Fuzhou, China.
| | - Guoen Cai
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China.
- Fujian Medical University, Fuzhou, China.
| | - Xilin Wu
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, 350001, Fuzhou, China.
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, 350001, Fuzhou, China.
- Fujian Medical University, Fuzhou, China.
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Rey-Brandariz J, Guerra-Tort C, López-Medina DC, García G, Teijeiro A, Casal-Fernández R, Candal-Pedreira C, Varela-Lema L, Ruano-Ravina A, Pérez-Ríos M. Mortality attributable to secondhand smoke exposure in the autonomous communities of Spain. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2024:S1885-5857(24)00127-0. [PMID: 38609041 DOI: 10.1016/j.rec.2024.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 02/22/2024] [Indexed: 04/14/2024]
Abstract
INTRODUCTION AND OBJECTIVES Exposure to secondhand smoke (SHS) causes cardiovascular disease, respiratory disease, and cancer. The aim of this study was to estimate the mortality attributed to SHS in people aged ≥ 35 years in Spain and its autonomous communities (AC) by sex from 2016 to 2021. METHODS Estimates of SHS-attributable mortality were calculated by applying the prevalence-dependent method where SHS exposure was derived from the adjustment of small-area models and based on the calculation of population-attributed fractions. Sex, age group, AC, and cause of death (ischemic heart disease and lung cancer) were included. The estimates of attributed mortality are presented with their 95% confidence interval (95%CI). Crude and age-standardized rates were estimated for each sex and AC. RESULTS From 2016 to 2021, SHS exposure caused 4,970 (95%CI, 4,787-5,387) deaths, representing 1.6% of total mortality for ischemic heart disease and lung cancer. The burden of attributed mortality differed widely among the AC, with Andalusia having the highest burden of attributed mortality (crude rate: 46.6 deaths per 100 000 population in men and 17.0/100 000 in women). In all the AC, the main cause of death in both sexes was ischemic heart disease. The highest burden of mortality was observed in nonsmokers. CONCLUSIONS The burden of SHS-attributable mortality was high and varied geographically. The results of this study should be considered to advance tobacco control legislation in Spain.
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Affiliation(s)
- Julia Rey-Brandariz
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Carla Guerra-Tort
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain.
| | - Diana Carolina López-Medina
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain; Facultad de Medicina, Universidad Cooperativa de Colombia, Colombia; Fundación Carolina, Madrid, Spain. https://twitter.com/@JuliaReyB
| | - Guadalupe García
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain. https://twitter.com/@guadagarcia23
| | - Ana Teijeiro
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain. https://twitter.com/@cristinacandal
| | - Raquel Casal-Fernández
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
| | - Cristina Candal-Pedreira
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Leonor Varela-Lema
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Spain; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, A Coruña, Spain
| | - Alberto Ruano-Ravina
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Spain; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, A Coruña, Spain
| | - Mónica Pérez-Ríos
- Área de Medicina Preventiva y Salud Pública, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, Spain; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Spain; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, A Coruña, Spain
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Abeysekera I, De Silva R, Silva D, Piumika L, Jayathilaka R, Rajamanthri L. Examining the influence of global smoking prevalence on stroke mortality: insights from 27 countries across income strata. BMC Public Health 2024; 24:857. [PMID: 38504226 PMCID: PMC10953178 DOI: 10.1186/s12889-024-18250-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 03/01/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND This study investigates the influence of Global Smoking Prevalence (GSP) on Stroke Death Rates (SDR) across 27 countries categorized into High-Income Countries (HIC), Upper Middle-Income Countries (UMIC), Lower Middle-Income Countries (LMIC), and Low-Income Countries (LIC). METHODS Analysing data from two distinct periods (1990-1999 and 2010-2019), countries exhibiting an increased SDR were selected. The study uses a polynomial regression model, treating income groups as cross-sectional and years as time series data. RESULTS Results from the regression model reveal that 17 countries observed a significant impact of GSP on SDR, with only Turkey, Solomon Islands, and Timor-Leste resulting in negative values. However, the study emphasises that out of all 27 countries, the highest occurrence of the impact of GSP on SDR has been reported in the LMIC stratum for the period under review. CONCLUSION It is evident that GSP affects the risk of incidence of stroke death, specifically in the LMIC stratum. Furthermore, it has been identified that GSP is a major preventable risk factor affecting global mortality. To mitigate the risk of stroke death attributable to smoking prevalence, necessary preventive steps should be adopted to encourage smoking cessation, and essential policies should be implemented to reduce the burden of SDR.
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Affiliation(s)
- Isuri Abeysekera
- Department of Information Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka
| | - Roshinie De Silva
- Department of Information Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka
| | - Disuri Silva
- Department of Information Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka
| | - Lakindu Piumika
- Department of Information Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka
| | - Ruwan Jayathilaka
- Department of Information Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka.
| | - Lochana Rajamanthri
- Department of Information Management, SLIIT Business School, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), 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, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. 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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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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Bagherpour‐Kalo M, Jones ME, Darabi P, Hosseini M. Water pipe smoking and stroke: A systematic review and meta-analysis. Brain Behav 2024; 14:e3357. [PMID: 38376055 PMCID: PMC10761326 DOI: 10.1002/brb3.3357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 10/30/2023] [Accepted: 11/26/2023] [Indexed: 02/21/2024] Open
Abstract
OBJECTIVE Despite the damaging effects of water pipe on physical health, there is little information about the potential harmful effects of this tobacco on stroke. This study aims to investigate the relationship between water pipe smoking and stroke. METHOD A systematic review was conducted including Ovid SP, Embase, Pubmed, Web of Science, Scopus, and Google Scholar databases with focus on cohort, case-control, and cross-sectional studies. We reviewed all studies reporting on water pipe smoking and stroke. The funnel plot and the Egger regression test were used to assess publication bias. RESULTS In the four eligible studies, there were a total of 2759 participants that 555 patients had at least once experienced stroke. Meta-analysis revealed positive association between water pipe smoking and stroke with pooled adjusted OR 2.79 (95% CI: 1.74-3.84;I 2 = 0 , p = . 741 ${I^2}\; = \;\;0,{\mathrm{\;}}p\;\; = {\mathrm{\;\;}}.741$ ) and the funnel plot shows asymmetry publication bias. CONCLUSIONS We found a higher effect of water pipe smoking on stroke compared to cigarette smoking and concluded that water pipe increases the risk of stroke by 2.79. Hence, because most of the water pipe consumer society is young, especially women, policies and decisions need to be taken to control the supply of this tobacco to the market and more provide education on the health problem of water pipe smoking. IMPLICATIONS This study provides a higher effect of water pipe smoking on stroke. Physicians and researchers who intend to study in the field of stroke should better examine the effects of water pipe (including time of use, dose-response, long-term effects, and risk factors) on stroke.
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Affiliation(s)
- Mehrdad Bagherpour‐Kalo
- Department of Epidemiology and BiostatisticsSchool of Public Health, Tehran University of Medical SciencesTehranIran
| | - Michael E Jones
- Division of Genetics and EpidemiologyThe Institute of Cancer ResearchLondonUK
| | - Parvaneh Darabi
- Department of BiostatisticsSchool of Public HealthIran University of Medical SciencesTehranIran
| | - Mostafa Hosseini
- Department of Epidemiology and BiostatisticsSchool of Public Health, Tehran University of Medical SciencesTehranIran
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Kibria MG, Hossain A, Islam T, Islam KR, Mahmud HMM, Nabi MH, Hawlader MDH. Secondhand smoke exposure and associated factors among city residents living in multiunit housing in Bangladesh. PLoS One 2023; 18:e0291746. [PMID: 37733729 PMCID: PMC10513191 DOI: 10.1371/journal.pone.0291746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 09/05/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Secondhand smoke (SHS) poses a high health risk to those living in multiunit housing (MUH) since it can easily spread from unit to unit and throughout the building's communal areas. MUH residents in Bangladesh are particularly vulnerable to SHS due to the absence of smoking restrictions within a housing complex. Therefore, this study aimed to assess the prevalence of SHS exposure and its associated factors among MUH residents living in seven divisional cities of Bangladesh- Dhaka, Chattogram, Rajshahi, Khulna, Sylhet, Barishal, and Rangpur. METHODS From April 2019 to November 2019, a cross-sectional survey was conducted with 616 MUH residents aged 18 or older who had been residing in MUH for at least two years in the seven divisional cities of Bangladesh. A multivariable logistic regression model was performed to determine the associated factors of SHS exposure. RESULTS In MUH complexes, more than half (54.9%) of the 616 respondents were exposed to SHS. The key factors positively associated with SHS exposure were females (aOR: 1.8, 95% CI:1.236-2.681), residents with a low monthly family income (aOR: 1.9, 95% CI: 1.162-3.220), those whose family members smoked (aOR: 2.4, 95% CI: 1.537-3.746), and Dhaka city residents (aOR: 1.9, 95% CI: 1.013-3.440). CONCLUSIONS This study revealed a high prevalence of SHS exposure among Bangladeshi MUH residents. Therefore, a smoking ban is needed in and around MUH complexes to protect non-smoking residents from SHS exposure.
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Affiliation(s)
- Md. Golam Kibria
- Department of Research, Centre for Development Action, Dhaka, Bangladesh
| | - Ahmed Hossain
- Health Services Administrations, College of Health Sciences, University of Sharjah, Sharjah, UAE
| | - Taslima Islam
- Department of Research, Centre for Development Action, Dhaka, Bangladesh
- Department of Monitoring, Evaluation and Learning, Social Development Foundation, Dhaka, Bangladesh
| | - Kazi Rakibul Islam
- Department of Public Health, Northern University Bangladesh, Dhaka, Bangladesh
| | - H. M. Miraz Mahmud
- Department of Research & Evaluation, Bangladesh Center for Communication Programs, Dhaka, Bangladesh
| | | | - Mohammad Delwer Hossain Hawlader
- Department of Research, Centre for Development Action, Dhaka, Bangladesh
- Department of Public Health, North South University, Dhaka, Bangladesh
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Association between passive smoking and the risk of rheumatoid arthritis: a systematic review and meta-analysis. Clin Rheumatol 2023; 42:663-672. [PMID: 36369402 DOI: 10.1007/s10067-022-06433-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/14/2022] [Accepted: 11/01/2022] [Indexed: 11/13/2022]
Abstract
In order to provide a basis for the prevention of RA, this systematic review and meta-analysis evaluated the association between passive smoking and the risk of developing RA. We searched electronic databases, including PubMed, Cochrane Central Register of Controlled Trials, Web of Science, and Embase, for published literature from the establishment to March 2022. Then we included subject-related cohort studies and case-control studies, and two researchers independently screened and extracted relevant data. Finally, we performed a meta-analysis, cumulative meta-analysis, and dose-response meta-analysis using the Stata software and evaluated the included literature for the level of evidence. This meta-analysis included three case-control and three cohort studies. There was only a small amount of statistical heterogeneity among the studies (I2 = 34.9%). According to the study results, the risk of RA was 12% higher in passive smokers than in unexposed individuals. In subgroup analysis, a 12% increase in the prevalence of RA was observed in those exposed to passive smoking in adulthood. The developing RA rate was 34% higher in individuals exposed to passive smoking during childhood than in unexposed individuals. As time progressed and with the inclusion of extensive sample studies in the cumulative meta-analysis, the precision of the overall incidence effect values gradually increased. A dose-response meta-analysis showed no statistical significance that the risk of RA increased with the number of passive smoking years. Passive smoking may relate to the risk of RA, especially in childhood exposures.
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1135] [Impact Index Per Article: 1135.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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 Epidemiology and Prevention 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 with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. 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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Saygın Avşar T, Jackson L, Barton P, Jones M, McLeod H. Towards optimum smoking cessation interventions during pregnancy: a household model to explore cost-effectiveness. Addiction 2022; 117:2707-2719. [PMID: 35603912 PMCID: PMC9541394 DOI: 10.1111/add.15955] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 04/27/2022] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND AIMS Previous economic evaluations of smoking cessation interventions for pregnant women are limited to single components, which do not in isolation offer sufficient potential impact to address smoking cessation targets. To inform the development of more appropriate complex interventions, we (1) describe the development of the Economics of Smoking in Pregnancy: Household (ESIP.H) model for estimating the life-time cost-effectiveness of smoking cessation interventions aimed at pregnant women and (2) use a hypothetical case study to demonstrate how ESIP.H can be used to identify the characteristics of optimum smoking cessation interventions. METHODS The hypothetical intervention was based on current evidence relating to component elements, including financial incentives, partner smoking, intensive behaviour change support, cigarettes consumption and duration of support to 12 months post-partum. ESIP.H was developed to assess the life-time health and cost impacts of multi-component interventions compared with standard National Health Service (NHS) care in England. ESIP.H considers cigarette consumption, partner smoking and some health conditions (e.g. obesity) that were not included in previous models. The Markov model's parameters were estimated based on published literature, expert judgement and evidence-based assumptions. The hypothetical intervention was evaluated from an NHS perspective. RESULTS The hypothetical intervention was associated with an incremental gain in quitters (mother and partner) at 12 months postpartum of 249 [95% confidence interval (CI) = 195-304] per 1000 pregnant smokers. Over the long-term, it had an incremental negative cost of £193 (CI = -£779 to 344) and it improved health, with a 0.50 (CI = 0.36-0.69) increase in quality-adjusted life years (QALYs) for mothers, partners and offspring, with a 100% probability of being cost-effective. CONCLUSIONS The Economics of Smoking in Pregnancy: Household model for estimating cost-effectiveness of smoking cessation interventions aimed at pregnant women found that a hypothetical smoking cessation intervention would greatly extend reach, reduce smoking and be cost-effective.
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Affiliation(s)
- Tuba Saygın Avşar
- Department of Applied Health ResearchUniversity College LondonLondonUK
| | - Louise Jackson
- Health Economics UnitUniversity of BirminghamBirminghamUK
| | - Pelham Barton
- Health Economics UnitUniversity of BirminghamBirminghamUK
| | - Matthew Jones
- Division of Primary CareUniversity of Nottingham, NottinghamUK
| | - Hugh McLeod
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK,The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol and Weston NHS Foundation TrustBristolUK
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13
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Tan GPP, Teo O, van der Eijk Y. Residential secondhand smoke in a densely populated urban setting: a qualitative exploration of psychosocial impacts, views and experiences. BMC Public Health 2022; 22:1168. [PMID: 35690740 PMCID: PMC9187883 DOI: 10.1186/s12889-022-13561-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 05/30/2022] [Indexed: 11/23/2022] Open
Abstract
Background People remain exposed to secondhand smoke, a serious health hazard, inside their home as households face challenges in setting no-smoking rules or are exposed to secondhand smoke drifting in from neighbouring homes. This study explores the psychosocial impacts, views, and experiences with residential secondhand smoke in a densely populated urban setting. Methods In-depth online or face to face interviews with 18 key informants who had been involved in public discourse, policy, advocacy or handling complaints related to residential secondhand smoke, 14 smokers, and 16 non-smokers exposed to secondhand smoke inside their home. All participants were residents of Singapore, a densely populated, multi-ethnic city-state. Interview transcripts were coded in NVivo using a deductive and inductive coding process. Findings Secondhand smoke has wide-reaching impacts on physical and psychosocial wellbeing, even if smokers tried to minimise secondhand smoke. Feelings of anxiety and stress are generally tied to feeling discomfort in one’s personal space, a perceived lack of control over the situation, resentment towards smokers, and concerns over the health effects. Family, community, and cultural dynamics add complexities to tackling the issue, especially in patriarchal households. Secondhand smoke exposure from neighbours is considered a widespread issue, exacerbated by structural factors such as building layout and the COVID-19 pandemic. Resolving the issue amicably is considered challenging due to the absence of regulations and a reluctance to stir up conflict with neighbours. While smokers took measures to reduce secondhand smoke, these were described as ineffective by other participants. Smokers appeared to have contrasting views from other participants on what it means to smoke in a socially responsible manner. Conclusion Given the wide-reaching psychosocial impacts of residential secondhand smoke, there is a case for stronger interventions, especially in densely populated urban settings where it is more difficult to avoid. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13561-7.
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Affiliation(s)
- Grace Ping Ping Tan
- Saw Swee Hock School of Public Health, National University of Singapore, MD1 Tahir Foundation Building 12 Science Drive 2 #09-01C, 117549, Singapore, Singapore
| | - Odelia Teo
- Saw Swee Hock School of Public Health, National University of Singapore, MD1 Tahir Foundation Building 12 Science Drive 2 #09-01C, 117549, Singapore, Singapore
| | - Yvette van der Eijk
- Saw Swee Hock School of Public Health, National University of Singapore, MD1 Tahir Foundation Building 12 Science Drive 2 #09-01C, 117549, Singapore, Singapore.
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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: 2357] [Impact Index Per Article: 1178.5] [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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15
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Wu CW, Chuang HY, Watanabe K, Wu PS, Pan HC, Wang CL, Yang CC, Hung CH, Dai CY, Ho CK, Kawakami N. Association between secondhand smoke and peripheral arterial disease: a meta-analysis of cross-sectional studies. Int Arch Occup Environ Health 2022; 95:1091-1101. [PMID: 35083550 DOI: 10.1007/s00420-022-01837-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 01/10/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE The association between secondhand smoke (SHS) and peripheral arterial disease (PAD) was inconsistent and the studies were relatively scarce, hence, we conducted a meta-analysis of the association between SHS and PAD. MATERIALS AND METHODS We systematically searched three electronic databases (PubMed, EMBASE, and Web of Science), and calculated the pooled prevalence risk ratio (RR) and estimated standard error by random effect model from the meta-analysis. Furthermore, we performed a subgroup meta-analysis according to the location of SHS exposure. RESULTS We initially identified 502 articles from the electronic database, and 6 articles, cross-sectional data from 4 cross-sectional studies and 2 prospective cohort studies, were included in the meta-analysis. Among these six articles, two studies showed a significant correlation between SHS exposure and PAD, whereas no study showed a negative correlation between SHS exposure and PAD. In the meta-analysis, pooled prevalence showed a significant association between SHS exposure and PAD (RR = 1.23; 95% confidence interval [CI] 1.08-1.41; z = 3.02, p = 0.003). In the subgroup analysis based on location of SHS exposure, the prevalence RR of PAD at home was 1.30 (95% CI 1.14-1.49, Z-3.99, p < 0.0001). The prevalence RR in the subgroup of SHS exposure at work was not significant (RR = 0.89; 95% CI 0.55-1.44; z = 0.48, p = 0.63). CONCLUSION Exposure to SHS was significantly and positively associated with PAD. Moreover, we found a significant association between exposure to SHS and PAD at home, but the association was not significant at work.
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Affiliation(s)
- Chih-Wei Wu
- Department of Occupational and Environmental Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, No. 482, Shanming Rd., Siaogang Dist., Kaohsiung City, 812, Taiwan
- Department of Family Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan
| | - Hung-Yi Chuang
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Kazuhiro Watanabe
- Department of Public Health, School of Medicine, Kitasato University, Sagamihara, Japan
- Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Pei-Shan Wu
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Hui-Chen Pan
- Department of Family Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan
- Department of Nursing, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan
| | - Chao-Ling Wang
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Chen-Cheng Yang
- Department of Occupational and Environmental Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, No. 482, Shanming Rd., Siaogang Dist., Kaohsiung City, 812, Taiwan.
- Department of Family Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan.
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan.
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City 807, Taiwan.
| | - Chih-Hsing Hung
- Environmental and Occupational Medicine Center, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung City 812, Taiwan
| | - Chia-Yen Dai
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Chi-Kung Ho
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City 807, Taiwan
| | - Norito Kawakami
- Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Luo J, Tang X, Li F, Wen H, Wang L, Ge S, Tang C, Xu N, Lu L. Cigarette Smoking and Risk of Different Pathologic Types of Stroke: A Systematic Review and Dose-Response Meta-Analysis. Front Neurol 2022; 12:772373. [PMID: 35145466 PMCID: PMC8821532 DOI: 10.3389/fneur.2021.772373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/06/2021] [Indexed: 12/05/2022] Open
Abstract
Objectives To quantify the association of cigarette smoking, including cigarettes per day and quitting duration, with the risk of different types of stroke morbidity and mortality in the general population, and to clarify the shape of the dose-response relations. Study Selection Prospective cohort studies and reported on the association between smoking, quitting and the incidence or mortality of stroke were included. Data Extraction and Synthesis All available data were converted uniformly to odds ratios (ORs) and were pooled using random-effects meta-analysis with inverse variance weighting. A dose-response meta-analysis was performed to explore the quantitative relationship between different smoking characteristics and the risk of different pathologic types of stroke incidence. Results Twenty-five studies with 3,734,216 individuals were included. Compared to never smokers, the pooled ORs of stroke morbidity and mortality were 1.45 (1.24–1.70) and 1.44 (1.23–1.67) among ever smokers and 1.90 (1.55–2.34) and 1.70 (1.45–1.98) among current smokers. The risk of different pathologic types of stroke was also increased among ever and current smokers. There was a significant non-linear dose-response association between the number of cigarette smoking and the risk of stroke incidence. Comparing no smoking, the ORs for smoking five and 35 cigarettes per day were 1.44 (1.35–1.53) and 1.86 (1.71–2.02). Other pathologic types of stroke have a similar dose-response relationship. There was also non-linear dose-response association between the length of time since quitting and risk of stroke. The risk of stroke decreased significantly after quitting for 3 years [OR = 0.56 (0.42–0.74)]. Conclusion The risk of different types of stroke among smokers is remarkably high. Our findings revealed a more detailed dose-response relationship and have important implications for developing smoking control strategies for stroke prevention. Systematic Review Registration https://inplasy.com/inplasy-2020-6-0062/, identifier: INPLASY202060062.
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Affiliation(s)
- Jianyu Luo
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaorong Tang
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Fan Li
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, United States
| | - Hao Wen
- Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Lin Wang
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shuqi Ge
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chunzhi Tang
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
- Chunzhi Tang
| | - Nenggui Xu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
- Nenggui Xu
| | - Liming Lu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
- *Correspondence: Liming Lu
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Yang Y, Yang Y, Jin G, Yang Y, Chen L, Jiang Z, Xie L, Liu L, Zeng D, Zhan Q, Zhong Z. The prevalence of stroke and related risk factors among residents aged ≥ 40 years in Chongqing, Southwest China. J Public Health (Oxf) 2021. [DOI: 10.1007/s10389-019-01149-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
Abstract
Abstract
Background
China bears the largest global stroke burden, yet little is known about its rates in Chongqing, southwest China. We aimed to investigate the prevalence and related risk factors for stroke in Chongqing, and to provide evidence for improved formulation of targeted primary preventive measures for stroke.
Methods
In 2015, a cross-sectional study was conducted in Nan’an district, Chongqing. Participants responded to a questionnaire surveying general information and common risk factors for stroke, and related physical examinations were conducted.
Results
Of 25,000 people aged ≥ 40 years who were investigated, 24,859 participants completed the questionnaire and underwent the physical examination. The crude prevalence rate for stroke was 1.71%, and was higher in men than in women (1.9% versus 1.6%). Prevalence rates increased with age (p < 0.001). Multiple logistic regression analysis indicated that too little exercise, hypertension, family history of stroke, and history of transient ischemic attack were stroke risk factors among three groups (men, women, and total participants; all p-values < 0.05). Smoking was a risk factor for men (odds ratio 2.77; 95% Cl 1.46–5.28) and having only attained a primary school or lower education level was a risk factor for women (p < 0.05).
Conclusions
These findings suggest that controlling stroke risk factors for stroke prevention is still crucial. Moreover, this study provides comprehensive resource data for further stroke research in southwest China.
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Xu H, Pang J, Zhang W, Li X, Li M, Zhao D. Predicting Recurrence for Patients With Ischemic Cerebrovascular Events Based on Process Discovery and Transfer Learning. IEEE J Biomed Health Inform 2021; 25:2445-2453. [PMID: 33705325 DOI: 10.1109/jbhi.2021.3065427] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The recurrence of Ischemic cerebrovascular events (ICE) often results in a high rate of mortality and disability. However, due to the lack of labeled follow-up data in hospitals, prediction methods using traditional machine learning are usually not available or reliable. Therefore, we propose a new framework for predicting the long-term recurrence risk in patients with ICE after discharge from hospitals based on process mining and transfer learning, to point out high-risk patients for intervention. First, process models are discovered from clinical guidelines for analyzing the similarity of ICE population data collected by different medical institutions, and the control flow found are taken as added characteristics of patients. Then we use the in-hospital data (target domain) and the national stroke screening data (source domain), to develop risk prediction models applying instance filter and weight-based transfer learning method. To verify our method, 205 cases from a tertiary hospital and 2954 cases from the screening cohort (2015-2017) are tested. Experimental results show that our framework can improve the performance of three instance-based transfer algorithms. This study provides a comprehensive and efficient approach for applying transfer learning, to alleviate the limitation of insufficient labeled follow-up data in hospitals.
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O'Flaherty M, Lloyd-Williams F, Capewell S, Boland A, Maden M, Collins B, Bandosz P, Hyseni L, Kypridemos C. Modelling tool to support decision-making in the NHS Health Check programme: workshops, systematic review and co-production with users. Health Technol Assess 2021; 25:1-234. [PMID: 34076574 DOI: 10.3310/hta25350] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Local authorities in England commission the NHS Health Check programme to invite everyone aged 40-74 years without pre-existing conditions for risk assessment and eventual intervention, if needed. However, the programme's effectiveness, cost-effectiveness and equity impact remain uncertain. AIM To develop a validated open-access flexible web-based model that enables local commissioners to quantify the cost-effectiveness and potential for equitable population health gain of the NHS Health Check programme. OBJECTIVES The objectives were as follows: (1) co-produce with stakeholders the desirable features of the user-friendly model; (2) update the evidence base to support model and scenario development; (3) further develop our computational model to allow for developments and changes to the NHS Health Check programme and the diseases it addresses; (4) assess the effectiveness, cost-effectiveness and equity of alternative strategies for implementation to illustrate the use of the tool; and (5) propose a sustainability and implementation plan to deploy our user-friendly computational model at the local level. DESIGN Co-production workshops surveying the best-performing local authorities and a systematic literature review of strategies to increase uptake of screening programmes informed model use and development. We then co-produced the workHORSE (working Health Outcomes Research Simulation Environment) model to estimate the health, economic and equity impact of different NHS Health Check programme implementations, using illustrative-use cases. SETTING Local authorities in England. PARTICIPANTS Stakeholders from local authorities, Public Health England, the NHS, the British Heart Foundation, academia and other organisations participated in the workshops. For the local authorities survey, we invited 16 of the best-performing local authorities in England. INTERVENTIONS The user interface allows users to vary key parameters that represent programme activities (i.e. invitation, uptake, prescriptions and referrals). Scenarios can be compared with each other. MAIN OUTCOME MEASURES Disease cases and case-years prevented or postponed, incremental cost-effectiveness ratios, net monetary benefit and change in slope index of inequality. RESULTS The survey of best-performing local authorities revealed a diversity of effective approaches to maximise the coverage and uptake of NHS Health Check programme, with no distinct 'best buy'. The umbrella literature review identified a range of effective single interventions. However, these generally need to be combined to maximally improve uptake and health gains. A validated dynamic, stochastic microsimulation model, built on robust epidemiology, enabled service options analysis. Analyses of three contrasting illustrative cases estimated the health, economic and equity impact of optimising the Health Checks, and the added value of obtaining detailed local data. Optimising the programme in Liverpool can become cost-effective and equitable, but simply changing the invitation method will require other programme changes to improve its performance. Detailed data inputs can benefit local analysis. LIMITATIONS Although the approach is extremely flexible, it is complex and requires substantial amounts of data, alongside expertise to both maintain and run. CONCLUSIONS Our project showed that the workHORSE model could be used to estimate the health, economic and equity impact comprehensively at local authority level. It has the potential for further development as a commissioning tool and to stimulate broader discussions on the role of these tools in real-world decision-making. FUTURE WORK Future work should focus on improving user interactions with the model, modelling simulation standards, and adapting workHORSE for evaluation, design and implementation support. STUDY REGISTRATION This study is registered as PROSPERO CRD42019132087. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 35. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Martin O'Flaherty
- Department of Public Health and Policy, University of Liverpool, Liverpool, UK
| | | | - Simon Capewell
- Department of Public Health and Policy, University of Liverpool, Liverpool, UK
| | - Angela Boland
- Liverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK
| | - Michelle Maden
- Liverpool Reviews and Implementation Group, University of Liverpool, Liverpool, UK
| | - Brendan Collins
- Department of Public Health and Policy, University of Liverpool, Liverpool, UK
| | - Piotr Bandosz
- Department of Public Health and Policy, University of Liverpool, Liverpool, UK
| | - Lirije Hyseni
- Department of Public Health and Policy, University of Liverpool, Liverpool, UK
| | - Chris Kypridemos
- Department of Public Health and Policy, University of Liverpool, Liverpool, UK
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Burden of disease from second-hand tobacco smoke exposure at home among adults from European Union countries in 2017: an analysis using a review of recent meta-analyses. Prev Med 2021; 145:106412. [PMID: 33388324 DOI: 10.1016/j.ypmed.2020.106412] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 11/30/2020] [Accepted: 12/29/2020] [Indexed: 11/23/2022]
Abstract
Smoke-free legislation reduced second-hand smoke (SHS) exposure in public places, and indirectly promoted private smoke-free settings. Nevertheless, a large proportion of adults is still exposed to SHS at home. The aim of this paper is to quantify the burden of disease due to home SHS exposure among adults in the 28-European Union (EU) countries for year 2017. The burdens by gender from lung cancer, chronic obstructive pulmonary disease (COPD), breast cancer, ischemic heart disease (IHD), stroke, asthma, and diabetes were estimated in an original research analysis using the comparative risk assessment method. Relative risks of death/diseases by gender for adults exposed to SHS at home compared to not exposed ones were estimated updating existing meta-analyses. Prevalence of home SHS exposure by gender was estimated using a multiple imputation procedure based on Eurobarometer surveys. Data on mortality and disability adjusted life years (DALYs) were obtained from the Global Burden of Disease, Injuries and Risk Factors Study. In 2017, 526,000 DALYs (0.36% of total DALYs) and 24,000 deaths (0.46% of total deaths) were attributable to home SHS exposure in the 28-EU countries, mainly from COPD and IHD. South-Eastern EU countries showed the highest burden, with proportion of DALYs/deaths attributable to SHS exposure on total higher than 0.50%/0.70%, whereas northern EU-countries showed the lowest burden, with proportions of DALYs/deaths lower than 0.25%/0.34%. The burden from SHS exposure is still significant in EU countries. More could be done to raise awareness of the health risks associated with SHS exposure at home.
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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: 3009] [Impact Index Per Article: 1003.0] [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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22
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Ren S, Xie S, Li X, Li G, Wang Y, Liu W, Wang L. The association between maternal exposure to secondhand smoke during pregnancy and their children's cerebral palsy, Shandong, China. Tob Induc Dis 2020; 18:87. [PMID: 33132801 PMCID: PMC7592196 DOI: 10.18332/tid/127872] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 08/13/2020] [Accepted: 09/25/2020] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION Tobacco use poses a threat to the health of pregnant women and their children. Our study assessed the association between maternal exposure to secondhand smoke (SHS) during pregnancy and children's cerebral palsy (CP) in Shandong, China. METHODS In our observational study, 5067 mother-child pairs were included from Shandong Province, China. Mothers filled in questionnaires about exposure to SHS during pregnancy. Statistical analysis and logistic regression models were built in R program to estimate the association in adjusted odds ratio (AOR) between SHS exposure during pregnancy and risk of children's CP, after adjustment for potential confounders including delivery mode and baby's birthweight. RESULTS Exposure to SHS was noted among 3663 (72.3%) of the 5067 non-smoking mothers during their pregnancy. Of the 239 CP children within the study, 192 (80.3%) were exposed to SHS during pregnancy. Children born to mothers exposed to SHS during pregnancy had a higher risk of CP (AOR=1.44; 95% CI: 1.02-2.04) than those born to non-exposed mothers, the risk increased by exposure time in the logistic regression model. The association between SHS exposure during pregnancy and CP children remained significant when adjusting for delivery mode and infant's birthweight due to their significant association with CP, with an AOR of 1.46 (95% CI: 1.13-1.91) for 1-4 days/week and 1.63 (95% CI: 1.22-2.01) for 5-7 days/week exposure to SHS. CONCLUSIONS Our study suggests that maternal exposure to secondhand smoke during pregnancy is associated with children's CP. Future preventive interventions of CP should include strategies that target the antenatal women who are exposed to SHS.
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Affiliation(s)
- Songtao Ren
- Department of Neurosurgery, Liaocheng People's Hospital, Liaocheng, People's Republic of China.,School of Medicine, Shandong University, Jinan, People's Republic of China.,Medical College, Liaocheng University, Liaocheng, People's Republic of China
| | - Shaohua Xie
- Department of Pediatrics, Liaocheng People's Hospital, Liaocheng, People's Republic of China
| | - Xuri Li
- Department of Gynecology and Obstetrics, Qingdao Hiser Medical Group, Qingdao, People's Republic of China
| | - Guofeng Li
- Department of Physical Medicine, Liaocheng Nο. 4 People's Hospital, Liaocheng, People's Republic of China
| | - Yan Wang
- Department of Medical Record, Liaocheng No. 4 People's Hospital, Liaocheng, People's Republic of China
| | - Weidong Liu
- Department of Neurosurgery, Liaocheng People's Hospital, Liaocheng, People's Republic of China
| | - Li Wang
- School of Medicine, Shandong University, Jinan, People's Republic of China.,Department of Gynecology, Liaocheng People's Hospital, Liaocheng, People's Republic of China.,Medical College, Liaocheng University, Liaocheng, People's Republic of China.,Metabolism Group, Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
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23
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Skipina TM, Soliman EZ, Upadhya B. Association between secondhand smoke exposure and hypertension: nearly as large as smoking. J Hypertens 2020; 38:1899-1908. [PMID: 32890262 DOI: 10.1097/hjh.0000000000002478] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
: Active smoking is a widely accepted risk factor for cardiovascular disease and is recognized as a major public health problem. Passive smoking, also known as secondhand smoke exposure (SHSE), is thought to have similar cardiovascular consequences and the risk has been postulated to be equivalent to that of active smoking. A major component of this risk involves the connection with chronic hypertension. There are several population-based observational studies investigating the relationship between SHSE and chronic hypertension, all of which demonstrate a positive association. Given that SHSE appears to be a risk factor for chronic hypertension, SHSE should also be a risk factor for hypertensive end-organ disease. Many studies have sought to investigate this relationship, but this has yet to be fully elucidated. In this review, we focus on the current evidence regarding the association between SHSE and hypertension as well as exploration of the links between SHSE and hypertensive end-organ damage.
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Affiliation(s)
- Travis M Skipina
- Cardiovascular Medicine Section, Department of Internal Medicine
| | - Elsayed Z Soliman
- Cardiovascular Medicine Section, Department of Internal Medicine
- Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest School of Medicine, Winston Salem, North Carolina, USA
| | - Bharathi Upadhya
- Cardiovascular Medicine Section, Department of Internal Medicine
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24
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Zheng F, Gonçalves FM, Abiko Y, Li H, Kumagai Y, Aschner M. Redox toxicology of environmental chemicals causing oxidative stress. Redox Biol 2020; 34:101475. [PMID: 32336668 PMCID: PMC7327986 DOI: 10.1016/j.redox.2020.101475] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 02/18/2020] [Accepted: 02/20/2020] [Indexed: 12/17/2022] Open
Abstract
Living organisms are surrounded with heavy metals such as methylmercury, manganese, cobalt, cadmium, arsenic, as well as pesticides such as deltamethrin and paraquat, or atmospheric pollutants such as quinone. Extensive studies have demonstrated a strong link between environmental pollutants and human health. Redox toxicity is proposed as one of the main mechanisms of chemical-induced pathology in humans. Acting as both a sensor of oxidative stress and a positive regulator of antioxidants, the nuclear factor erythroid 2-related factor 2 (NRF2) has attracted recent attention. However, the role NRF2 plays in environmental pollutant-induced toxicity has not been systematically addressed. Here, we characterize NRF2 function in response to various pollutants, such as metals, pesticides and atmospheric quinones. NRF2 related signaling pathways and epigenetic regulations are also reviewed.
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Affiliation(s)
- Fuli Zheng
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, 350122, China; Department of Molecular Pharmacology, Albert Einstein College of Medicine, Forchheimer 209, 1300 Morris Park Avenue, Bronx, NY, 10461, United States.
| | - Filipe Marques Gonçalves
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Forchheimer 209, 1300 Morris Park Avenue, Bronx, NY, 10461, United States
| | - Yumi Abiko
- Environmental Biology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, 305-8575, Japan
| | - Huangyuan Li
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, 350122, China.
| | - Yoshito Kumagai
- Environmental Biology Laboratory, Faculty of Medicine, University of Tsukuba, Tsukuba, 305-8575, Japan.
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Forchheimer 209, 1300 Morris Park Avenue, Bronx, NY, 10461, United States.
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25
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Gallucci G, Tartarone A, Lerose R, Lalinga AV, Capobianco AM. Cardiovascular risk of smoking and benefits of smoking cessation. J Thorac Dis 2020; 12:3866-3876. [PMID: 32802468 PMCID: PMC7399440 DOI: 10.21037/jtd.2020.02.47] [Citation(s) in RCA: 128] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Smoking increases mortality from all causes and has a crucial role in atherosclerotic cardiovascular disease (ASCVD). Active smoking and secondhand smoke exposure determine more than 30% of coronary heart disease (CHD) mortality. The exact mechanisms of cardiovascular damages are not well known, but the detrimental effect of smoking on endothelial function has long been recognized. Smoking elicits oxidative processes, negatively affects platelet function, fibrinolysis, inflammation and vasomotor function; all these proatherogenic effects double the 10-year risk of fatal events in smokers compared to non smokers. An intriguing issue about smoking is the vulnerability of female gender. The mortality from cardiovascular diseases (CVDs) is higher in female than male smokers and female smokers show a 25% higher risk of developing CHD than men with the same exposure to tobacco smoke. This female vulnerability seems to be related to genes involved in thrombin signaling. The effects of smoking cessation have also been extensively studied. Cessation at an early age (40 years) has an impressive 90% reduction in the excess risk of death. In this review we report recent data about the causal link between smoking and CVDs and about the benefits of smoking cessation.
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Affiliation(s)
- Giuseppina Gallucci
- Cardiology Unit, IRCCS-CROB Referral Cancer Center of Basilicata, Rionero in Vulture (PZ), Italy
| | - Alfredo Tartarone
- Department of Onco-Hematology, Division of Medical Oncology, IRCCS-CROB Referral Cancer Center of Basilicata, Rionero in Vulture (PZ), Italy
| | - Rosa Lerose
- Hospital Pharmacy, IRCCS-CROB Referral Cancer Center of Basilicata, Rionero in Vulture (PZ), Italy
| | - Anna Vittoria Lalinga
- Pathology Unit, IRCCS-CROB Referral Cancer Center of Basilicata, Rionero in Vulture (PZ), Italy
| | - Alba Maria Capobianco
- Department of Onco-Hematology, Division of Medical Oncology, IRCCS-CROB Referral Cancer Center of Basilicata, Rionero in Vulture (PZ), Italy
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26
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Lim KH, Lim HL, Ghazali SM, Kee CC, Teh CH, Gill BS, Taib MZ, Heng PP, Lim JH. Malaysian adolescents' exposure to secondhand smoke in the car of their parents/guardians: A nationwide cross-sectional school-based study. Tob Induc Dis 2020; 18:53. [PMID: 32565765 PMCID: PMC7299278 DOI: 10.18332/tid/122586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 04/28/2020] [Accepted: 05/19/2020] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION We investigated the prevalence of children's exposure to secondhand smoke (SHS) in the car of their parents/guardians and the associated factors. METHODS A self-administered validated questionnaire was used to obtain data from the nationally representative samples of school-going adolescents aged 11-19 years in Malaysia. Prevalence rates were computed and chi-squared tests and multiple logistic regression were conducted. RESULTS Of the participants, 23.3% reported exposure to SHS at least once in the car of their parents/guardians during the last 7 days before the survey. The prevalence and likelihood of SHS exposure were significantly higher in Malays, descendants of natives of Sabah and Sarawak, schools in rural areas, females, and current smokers. However, age group and knowledge on the harmful effects of SHS were not significant after adjusting for confounding effects. CONCLUSIONS A substantial proportion of school-going adolescents were exposed to secondhand smoke in the car of their parents/guardians. This highlights the need for effective tobacco control measures to include health promotion and smoke-free car regulations to be introduced to prevent severe health hazards and to reduce smoking initiation among non-smoking adolescents.
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Affiliation(s)
- Kuang H. Lim
- Special Resource Centre, Institute for Medical Research, Kuala Lumpur, Malaysia
| | - Hui L. Lim
- Oncology Department, Hospital Sultan Ismail, Johor Bahru, Malaysia
| | - Sumarni M. Ghazali
- Special Resource Centre, Institute for Medical Research, Kuala Lumpur, Malaysia
| | - Chee C. Kee
- Sector for Biostatistics and Data Repository, National Institutes of Health, Shah Alam, Malaysia
| | - Chien H. Teh
- Special Resource Centre, Institute for Medical Research, Kuala Lumpur, Malaysia
| | - Balvinder S. Gill
- Special Resource Centre, Institute for Medical Research, Kuala Lumpur, Malaysia
| | - Mohd Z. Taib
- Special Resource Centre, Institute for Medical Research, Kuala Lumpur, Malaysia
| | - Pei P. Heng
- Special Resource Centre, Institute for Medical Research, Kuala Lumpur, Malaysia
| | - Jia H. Lim
- School of Pharmacy, Monash University Malaysia, Bandar Sunway, Malaysia
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27
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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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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: 4741] [Impact Index Per Article: 1185.3] [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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Kaur J, Farley A, Jolly K, Jones LL. Primary Care Healthcare Professionals' Knowledge, Attitudes, and Practices Towards Promoting the Reduction of Children's Secondhand Smoke Exposure: A Mixed-Methods Review and Synthesis. Nicotine Tob Res 2020; 21:398-408. [PMID: 29301029 DOI: 10.1093/ntr/ntx278] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2017] [Accepted: 12/27/2017] [Indexed: 01/22/2023]
Abstract
INTRODUCTION Secondhand smoke exposure (SHSe) leads to increased mortality and morbidity. Primary care healthcare professionals (HCPs) are well placed to support patients to reduce SHSe. This paper explores HCPs': (1) knowledge around SHSe; (2) current practices to promote SHSe reduction; (3) beliefs and experiences regarding delivering interventions to reduce SHSe; and (4) identified factors that influence the delivery of SHSe-related interventions. METHODS Six electronic databases were searched for relevant literature published January 1980-February 2016. 17 quantitative and 3 qualitative studies were included in this mixed-methods review. Data synthesis followed the method outlined by the Joanna Briggs Institute. This segregated approach involved independent syntheses of the quantitative and qualitative data followed by an overall mixed-methods synthesis. RESULTS Primary care HCPs had a basic understanding of the risks associated with SHSe but required training to help them intervene. It was more common for HCPs to ask about SHSe or provide advice than to act to facilitate SHSe reduction. SHSe was viewed as an issue of high importance and considered relevant to the role of the primary care HCPs. However, barriers such as the priority given to the issue and the desire to protect the professional relationship with patients prevented HCPs from intervening around SHSe. CONCLUSIONS Primary care HCPs require training, guidance, and support to enable them to intervene and support patients to effectively reduce SHSe. IMPLICATIONS This review used rigorous methods to explore the current, global literature on how children's exposure to secondhand smoke is being addressed in primary care settings. The review findings highlight healthcare professionals' need for further training and support, which would enable them to better translate their knowledge of the risks associated with secondhand smoke exposure into actual clinical practices. The review identified a lack of practical action taken to address secondhand smoke exposure, even once it has been identified as an issue.
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Affiliation(s)
- Jaidev Kaur
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Amanda Farley
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Kate Jolly
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Laura L Jones
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
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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: 5242] [Impact Index Per Article: 1048.4] [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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Carreras G, Lugo A, Gallus S, Cortini B, Fernández E, López MJ, Soriano JB, López-Nicolás A, Semple S, Gorini G. Burden of disease attributable to second-hand smoke exposure: A systematic review. Prev Med 2019; 129:105833. [PMID: 31505203 DOI: 10.1016/j.ypmed.2019.105833] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 08/30/2019] [Accepted: 09/05/2019] [Indexed: 10/26/2022]
Abstract
Our aim was to provide a systematic review of studies on the burden of disease due to second-hand smoke (SHS) exposure, reviewing methods, exposure assessment, diseases causally linked to SHS, health outcomes, and estimates available to date. A literature review of studies on the burden of disease from SHS exposure, available in PubMed and SCOPUS, published 2007-2018 in English language, was carried out following the PRISMA recommendations. Overall, 588 studies were first identified, and 94 were eligible. Seventy-two studies were included in the systematic review. Most of them were based on the comparative risk assessment approach, assessing SHS exposure using mainly surveys on exposure at home/workplaces. Diseases more frequently studied were: lung cancer, ischemic heart disease, stroke, chronic obstructive pulmonary disease, asthma and breast cancer in adults; lower respiratory tract infection, otitis media, asthma, sudden infant death syndrome and low birth weight in children. The SHS exposure assessment and the reported population attributable fractions (PAF) were largely heterogeneous. As an example, the PAF from lung cancer varied between 0.6% and 20.5%. Moreover, PAF were estimated applying relative risks and SHS exposures with no consistent definitions or with different age classes. The research gap on the SHS exposure burden is shrinking. However, estimates are not yet available for a number of countries, particularly the Middle Eastern and African countries, and not all diseases with the strongest evidence of causation, such as sudden infant death syndrome, have been explored. Moreover, in some cases the applied methodology revealed relatively low quality of data.
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Affiliation(s)
- Giulia Carreras
- Oncologic Network, Prevention and Research Institute (ISPRO), via Cosimo il Vecchio 2, 50139 Florence, Italy.
| | - Alessandra Lugo
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS (IRFMN), Via La Masa 19, 20156 Milan, Italy
| | - Silvano Gallus
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS (IRFMN), Via La Masa 19, 20156 Milan, Italy
| | - Barbara Cortini
- Oncologic Network, Prevention and Research Institute (ISPRO), via Cosimo il Vecchio 2, 50139 Florence, Italy
| | - Esteve Fernández
- Catalan Institute of Oncology (ICO), Granvia de L'Hospitalet, 199-203, PC 08908 L'Hospitalet de Llobregat, Spain; Bellvitge Biomedical Research Institute (IDIBELL), Granvia de L'Hospitalet, 199, PC 08908 L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, Campus de Bellvitge, School of Medicine and Health Sciences, University of Barcelona, Feixa Llarga, s/n, PC 08907 L'Hospitalet de Llobregat, Spain
| | - Maria José López
- Public Health Agency of Barcelona (ASPB). Pl. Lesseps, 1, PC 08023 Barcelona, Spain; CIBER Epidemiologia y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5, Pabellón 11, Planta 0. PC 28029, Madrid, Spain; Institut d'Investigació Biomèdica de Sant Pau (IIB Sant Pau), Sant Antoni Maria Claret, 167, PC 08025 Barcelona, Spain
| | - Joan B Soriano
- Hospital Universitario La Princesa (IISP), Diego de León, 62 1st floor, PC 28006 Madrid, Spain
| | - Angel López-Nicolás
- Polytechnic University of Cartagena (UPCT), Plaza Cronista Isidoro Valverde, s/n, PC 30202 Cartagena, Spain
| | - Sean Semple
- Faculty of Health Sciences and Sport, University of Stirling, Stirling FK9 4LA, Scotland, UK
| | - Giuseppe Gorini
- Oncologic Network, Prevention and Research Institute (ISPRO), via Cosimo il Vecchio 2, 50139 Florence, Italy
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32
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Azagba S, Latham K, Shan L. Exposure to secondhand smoke in vehicles among Canadian adolescents: Years after the adoption of smoke-free car laws. Addict Behav Rep 2019; 10:100215. [PMID: 31508478 PMCID: PMC6726844 DOI: 10.1016/j.abrep.2019.100215] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 08/15/2019] [Accepted: 08/16/2019] [Indexed: 11/17/2022] Open
Abstract
Exposure to secondhand smoke (SHS) can result in several adverse health consequences. SHS concentrations in vehicles can significantly exceed levels present in other enclosed spaces. Years after the adoption of smoke-free car laws, this study examined the prevalence of exposure to SHS in vehicles among adolescents. Data were utilized from the 2016-2017 Canadian Student Tobacco, Alcohol and Drugs Survey (n = 48,444). The prevalence of exposure to SHS in cars was estimated by grade level and demographic characteristics. The results showed a gradient by grade level in exposure to SHS with students in upper-grade levels reporting a higher prevalence of SHS in cars. SHS varied by province, with the lowest rate found in British Columbia (15.6%) and the highest in Saskatchewan (36.9%). The provinces with laws that extend protections to older children also had high rates of SHS exposure among students in upper-grade levels. Students exposed to SHS were more likely to engage in risky behaviors, including the use of marijuana, alcohol, cigarettes, and e-cigarettes. Despite laws prohibiting smoking in vehicles carrying children, SHS prevalence remains high. While enforcement of these laws may be challenging, persuasion campaigns highlighting that children are especially vulnerable to the health risks of SHS may be beneficial.
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Affiliation(s)
- Sunday Azagba
- Department of Family and Preventive Medicine, University of Utah School of Medicine, United States of America
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33
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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Virani SS, Williams KA, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2019; 74:e177-e232. [PMID: 30894318 PMCID: PMC7685565 DOI: 10.1016/j.jacc.2019.03.010] [Citation(s) in RCA: 929] [Impact Index Per Article: 185.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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34
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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Virani SS, Williams KA, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 140:e596-e646. [PMID: 30879355 PMCID: PMC7734661 DOI: 10.1161/cir.0000000000000678] [Citation(s) in RCA: 1302] [Impact Index Per Article: 260.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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35
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Tian Y, Wang S, Jiao F, Kong Q, Liu C, Wu Y. Telomere Length: A Potential Biomarker for the Risk and Prognosis of Stroke. Front Neurol 2019; 10:624. [PMID: 31263449 PMCID: PMC6585102 DOI: 10.3389/fneur.2019.00624] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 05/28/2019] [Indexed: 12/22/2022] Open
Abstract
Stroke is one of the leading causes of death and disability worldwide. Age is associated with increased risk of stroke, while telomere length shortening plays a pivotal role in the process of aging. Moreover, telomere length shortening is associated with many risk factors of stroke in addition to age. Accumulated evidence shows that short leukocyte telomere length is not only associated with stroke occurrence but also associated with post-stroke recovery in the elderly population. In this review, we aimed to summarize the association between leukocyte telomere length and stroke, and discuss that telomere length might serve as a potential biomarker to predict the risk and prognosis of stroke.
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Affiliation(s)
- Yanjun Tian
- Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, China
| | - Shuai Wang
- Shandong Collaborative Innovation Center for Diagnosis, Treatment and Behavioral Interventions of Mental Disorders, Institute of Mental Health, Jining Medical University, Jining, China.,Shandong Key Laboratory of Behavioral Medicine, School of Mental Health, Jining Medical University, Jining, China
| | - Fengjuan Jiao
- Shandong Collaborative Innovation Center for Diagnosis, Treatment and Behavioral Interventions of Mental Disorders, Institute of Mental Health, Jining Medical University, Jining, China.,Shandong Key Laboratory of Behavioral Medicine, School of Mental Health, Jining Medical University, Jining, China
| | - Qingsheng Kong
- Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, China
| | - Chuanxin Liu
- Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, China
| | - Yili Wu
- Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, China.,Shandong Collaborative Innovation Center for Diagnosis, Treatment and Behavioral Interventions of Mental Disorders, Institute of Mental Health, Jining Medical University, Jining, China.,Shandong Key Laboratory of Behavioral Medicine, School of Mental Health, Jining Medical University, Jining, China
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Kegler MC, Haardörfer R, Melanson T, Allen L, Bundy LT, Kreuter MW, Williams RS, Hovell MF, Mullen PD. Steps Toward Scalability: Illustrations From a Smoke-Free Homes Program. HEALTH EDUCATION & BEHAVIOR 2019; 46:773-781. [PMID: 31165637 DOI: 10.1177/1090198119848767] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Scalable interventions remain effective across a range of real-world settings and can be modified to fit organizational and community context. "Smoke-Free Homes: Some Things are Better Outside" has been effective in promoting smoke-free home rules in low-income households in efficacy, effectiveness, generalizability, and dissemination studies. Using data from a dissemination study in collaboration with five 2-1-1 call centers in Ohio, Florida, Oklahoma, and Alabama (n = 2,345 households), this article examines key dimensions of scalability, including effectiveness by subpopulation, secondary outcomes, identification of core elements driving effectiveness, and cost-effectiveness. Evaluated by 2-1-1 staff using a pre-post design with self-reported outcomes at 2 months postbaseline, the program was equally effective for men and women, across education levels, with varying number of smokers in the home, and whether children were present in the home or not. It was more effective for nonsmokers, those who smoked fewer cigarettes per day, and African Americans. Creating a smoke-free home was associated with a new smoke-free vehicle rule (odds ratio [OR] = 3.38, confidence interval [CI 2.58, 4.42]), decreased exposure to secondhand smoke among nonsmokers (b = -2.33, p < .0001), and increased cessation among smokers (OR = 5.8, CI [3.81, 8.81]). Use of each program component was significantly associated with success in creating a smoke-free home. Using an intent-to-treat effect size of 40.1%, program benefits from 5 years of health care savings exceed program costs yielding a net savings of $9,633 for delivery to 100 households. Cost effectiveness, subpopulation analyses, and identification of core elements can help in assessing the scalability potential of research-tested interventions such as this smoke-free homes program.
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Lifestyle Interventions to Prevent Cardiovascular Events After Stroke and Transient Ischemic Attack. Curr Cardiol Rep 2019; 21:44. [DOI: 10.1007/s11886-019-1132-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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38
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Pistilli M, Howard VJ, Safford MM, Lee BK, Lovasi GS, Cushman M, Malek AM, McClure LA. Association of secondhand tobacco smoke exposure during childhood on adult cardiovascular disease risk among never-smokers. Ann Epidemiol 2019; 32:28-34.e1. [PMID: 30799203 PMCID: PMC6441374 DOI: 10.1016/j.annepidem.2019.01.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 12/11/2018] [Accepted: 01/25/2019] [Indexed: 11/24/2022]
Abstract
PURPOSE Adult secondhand tobacco smoke (SHS) exposure is related to stroke and coronary heart disease (CHD) risk, but long-term effects are less clear. We evaluated whether childhood SHS exposure affects subsequent stroke or CHD risk among adult black and white never-smokers followed for stroke and CHD. METHODS In this prospective cohort study, inverse probability weights were calculated to correct for bias due to attrition and survey nonresponse. Cox proportional hazards models were used to assess hazard ratios and 95% confidence intervals for stroke or CHD, separately, by number of childhood household smokers. RESULTS Of 13,142 eligible participants, 6136 had childhood SHS exposure assessed. Baseline mean (SD) age was 63.5 (9.0), 65% were female, 30% black, 46% reported 0 childhood household smokers, 36% reported 1, and 18% reported 2+. In 60,649 person-years, 174 strokes were observed (2.9% of participants), and in 45,195 person-years, 114 CHD events were observed (2.1% of participants). The weighted and adjusted hazard ratios (95% confidence intervals) of stroke for 2+ versus 0 childhood household smokers was 1.66 (1.29-2.13) and was 1.15 (0.82-1.59) for CHD. CONCLUSIONS We observed a significant association between childhood SHS exposure and stroke, but not CHD, after age 45 years and adjusting for missing information.
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Affiliation(s)
- Maxwell Pistilli
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA
| | - Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham
| | - Monika M Safford
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Brian K Lee
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA
| | - Gina S Lovasi
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA
| | - Mary Cushman
- Department of Medicine, College of Medicine, University of Vermont, Burlington
| | - Angela M Malek
- Department of Public Health Sciences, Medical University of South Carolina, Charleston
| | - Leslie A McClure
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA.
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Abstract
BACKGROUND Stroke is one of the leading causes of death and disability for adult men and women worldwide, and a number of studies have explored the influences of smoking on stroke. However, few studies have discussed the relationship between stroke and smoking with consideration of the following factors: sex, the number of cigarettes smoked per day, stroke subtype, and the follow-up duration. Consequently, we aimed to extend previous work by using a systematic review to explore the relationship between stroke and cigarette smoking in reference to the above factors. METHODS A systematic review was conducted using the PubMed, Embase, and Cochrane Central Register databases and the following search criteria: ["stroke" (MeSH) and "smoking" (MeSH)]. All analyses were conducted with Stata, and funnel plots and Egger regression asymmetry tests were used to assess publication bias. RESULTS The meta-analysis included 14 studies involving 303134 subjects. According to the meta-analysis, smokers had an overall increased risk of stroke compared with nonsmokers, with a pooled odds ratio (OR) of 1.61 (95% confidence interval [CI]: 1.34-1.93, P < .001). A subgroup analysis conducted based on smoking status revealed ORs of 1.92 (95% CI: 1.49-2.48) for current smokers and 1.30 (95% CI: 0.93-1.81) for former smokers. In addition, the relationship between stroke of any type and smoking status was also statistically significant; current smokers had an increased risk of stoke compared with nonsmokers (OR: 1.46, 95% CI: 1.04-2.07, P < .001), which was influenced by sex (men: OR: 1.54, 95% CI: 1.11-2.13, P = .002; women: OR: 1.88, 95% CI: 1.45-2.44, P < .023). From the analysis, we also observed that passive smoking increased the overall risk of stroke by 45% (OR: 1.45, 95% CI: 1.0-2.11, P < .05). Based on the dose-response meta-analysis, the risk of stroke increased by 12% for each increment of 5 cigarettes per day.
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Affiliation(s)
- Biqi Pan
- Department of Traditional Chinese Medicine, GuangDong Women and Children Hospital
| | - Xiao Jin
- Second School of Clinical Medicine, Guangzhou University of Chinese Medicine
| | - Liu Jun
- Department of Orthopedics, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, China
| | - Shaohong Qiu
- Department of Traditional Chinese Medicine, GuangDong Women and Children Hospital
| | - Qiuping Zheng
- Department of Traditional Chinese Medicine, GuangDong Women and Children Hospital
| | - Mingwo Pan
- Department of Traditional Chinese Medicine, GuangDong Women and Children Hospital
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40
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Vallance JK, Gardiner PA, Lynch BM, D'Silva A, Boyle T, Taylor LM, Johnson ST, Buman MP, Owen N. Evaluating the Evidence on Sitting, Smoking, and Health: Is Sitting Really the New Smoking? Am J Public Health 2018; 108:1478-1482. [PMID: 30252516 PMCID: PMC6187798 DOI: 10.2105/ajph.2018.304649] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/01/2018] [Indexed: 01/05/2023]
Abstract
Sitting has frequently been equated with smoking, with some sources even suggesting that smoking is safer than sitting. This commentary highlights how sitting and smoking are not comparable. The most recent meta-analysis of sedentary behavior and health outcomes reported a hazard ratio of 1.22 (95% confidence interval [CI] = 1.09, 1.41) for all-cause mortality. The relative risk (RR) of death from all causes among current smokers, compared with those who have never smoked, is 2.80 (95% CI = 2.72, 2.88) for men and 2.76 for women (95% CI = 2.69, 2.84). The risk is substantially higher for heavy smokers (> 40 cigarettes per day: RR = 4.08 [95% CI = 3.68, 4.52] for men, and 4.41 [95% CI = 3.70, 5.25] for women). These estimates correspond to absolute risk differences of more than 2000 excess deaths from any cause per 100 000 persons per year among the heaviest smokers compared with never smokers, versus 190 excess deaths per 100 000 persons per year when comparing people with the highest volume of sitting with the lowest. Conflicting or distorted information about health risks related to behavioral choices and environmental exposures can lead to confusion and public doubt with respect to health recommendations.
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Affiliation(s)
- Jeff K Vallance
- Jeff K. Vallance and Steven T. Johnson are with the Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Paul A. Gardiner is with the Centre for Research in Geriatric Medicine, The University of Queensland, Brisbane, Queensland, Australia. Brigid M. Lynch is with the Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia. Adrijana D'Silva is with the Faculty of Kinesiology, University of Calgary, Calgary, Alberta. Terry Boyle is with Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia. Lorian M. Taylor is with the Cumming School of Medicine, University of Calgary. Matthew P. Buman is with the School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ. Neville Owen is with the Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne
| | - Paul A Gardiner
- Jeff K. Vallance and Steven T. Johnson are with the Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Paul A. Gardiner is with the Centre for Research in Geriatric Medicine, The University of Queensland, Brisbane, Queensland, Australia. Brigid M. Lynch is with the Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia. Adrijana D'Silva is with the Faculty of Kinesiology, University of Calgary, Calgary, Alberta. Terry Boyle is with Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia. Lorian M. Taylor is with the Cumming School of Medicine, University of Calgary. Matthew P. Buman is with the School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ. Neville Owen is with the Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne
| | - Brigid M Lynch
- Jeff K. Vallance and Steven T. Johnson are with the Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Paul A. Gardiner is with the Centre for Research in Geriatric Medicine, The University of Queensland, Brisbane, Queensland, Australia. Brigid M. Lynch is with the Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia. Adrijana D'Silva is with the Faculty of Kinesiology, University of Calgary, Calgary, Alberta. Terry Boyle is with Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia. Lorian M. Taylor is with the Cumming School of Medicine, University of Calgary. Matthew P. Buman is with the School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ. Neville Owen is with the Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne
| | - Adrijana D'Silva
- Jeff K. Vallance and Steven T. Johnson are with the Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Paul A. Gardiner is with the Centre for Research in Geriatric Medicine, The University of Queensland, Brisbane, Queensland, Australia. Brigid M. Lynch is with the Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia. Adrijana D'Silva is with the Faculty of Kinesiology, University of Calgary, Calgary, Alberta. Terry Boyle is with Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia. Lorian M. Taylor is with the Cumming School of Medicine, University of Calgary. Matthew P. Buman is with the School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ. Neville Owen is with the Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne
| | - Terry Boyle
- Jeff K. Vallance and Steven T. Johnson are with the Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Paul A. Gardiner is with the Centre for Research in Geriatric Medicine, The University of Queensland, Brisbane, Queensland, Australia. Brigid M. Lynch is with the Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia. Adrijana D'Silva is with the Faculty of Kinesiology, University of Calgary, Calgary, Alberta. Terry Boyle is with Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia. Lorian M. Taylor is with the Cumming School of Medicine, University of Calgary. Matthew P. Buman is with the School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ. Neville Owen is with the Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne
| | - Lorian M Taylor
- Jeff K. Vallance and Steven T. Johnson are with the Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Paul A. Gardiner is with the Centre for Research in Geriatric Medicine, The University of Queensland, Brisbane, Queensland, Australia. Brigid M. Lynch is with the Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia. Adrijana D'Silva is with the Faculty of Kinesiology, University of Calgary, Calgary, Alberta. Terry Boyle is with Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia. Lorian M. Taylor is with the Cumming School of Medicine, University of Calgary. Matthew P. Buman is with the School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ. Neville Owen is with the Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne
| | - Steven T Johnson
- Jeff K. Vallance and Steven T. Johnson are with the Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Paul A. Gardiner is with the Centre for Research in Geriatric Medicine, The University of Queensland, Brisbane, Queensland, Australia. Brigid M. Lynch is with the Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia. Adrijana D'Silva is with the Faculty of Kinesiology, University of Calgary, Calgary, Alberta. Terry Boyle is with Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia. Lorian M. Taylor is with the Cumming School of Medicine, University of Calgary. Matthew P. Buman is with the School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ. Neville Owen is with the Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne
| | - Matthew P Buman
- Jeff K. Vallance and Steven T. Johnson are with the Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Paul A. Gardiner is with the Centre for Research in Geriatric Medicine, The University of Queensland, Brisbane, Queensland, Australia. Brigid M. Lynch is with the Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia. Adrijana D'Silva is with the Faculty of Kinesiology, University of Calgary, Calgary, Alberta. Terry Boyle is with Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia. Lorian M. Taylor is with the Cumming School of Medicine, University of Calgary. Matthew P. Buman is with the School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ. Neville Owen is with the Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne
| | - Neville Owen
- Jeff K. Vallance and Steven T. Johnson are with the Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Paul A. Gardiner is with the Centre for Research in Geriatric Medicine, The University of Queensland, Brisbane, Queensland, Australia. Brigid M. Lynch is with the Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia. Adrijana D'Silva is with the Faculty of Kinesiology, University of Calgary, Calgary, Alberta. Terry Boyle is with Centre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia. Lorian M. Taylor is with the Cumming School of Medicine, University of Calgary. Matthew P. Buman is with the School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ. Neville Owen is with the Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne
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Lim KH, Lim HL, Teh CH, Kee CC, Heng PP, Cheah YK, Ghazali SM. Secondhand smoke (SHS) exposure at home and at the workplace among non-smokers in Malaysia: Findings from the Global Adult Tobacco Survey 2011. Tob Induc Dis 2018; 16:49. [PMID: 31516446 PMCID: PMC6659505 DOI: 10.18332/tid/95188] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/23/2018] [Accepted: 09/17/2018] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Understanding the prevalence of secondhand smoke (SHS) exposure and the associated factors is beneficial for the formulation of effective measures to reduce exposure to SHS. The purpose of this study was to determine SHS exposure at home and workplace, and its associated factors among non-smoker Malaysian adults. METHODS Data were extracted from the Global Adult Tobacco Survey-Malaysia (GATS-M) that involved a representative sample of 5112 Malaysian adults. Logistic regression analyses were performed to examine the association between SHS exposure, sociodemographic factors, knowledge on the danger of SHS, and smoking restrictions at home and at work among non-smokers. RESULTS Among non-smoker Malaysians, age ≥15 years, 27.9% (equivalent to approximately 4.21 million non-smokers) and 33.9% (equivalent to approximately 1.37 million non-smokers) reported that they were exposed to SHS at home and the workplace, at least once a month, respectively. Women (AOR=2.12, 95% CI: 1.61-2.78), young individuals (AOR=3.06, 95% CI: 1.48-6.33), Malays (AOR=2.39, 95% CI: 1.56-3.64) or other Bumiputra ethnic groups (AOR=2.40, 95% CI: 1.39-4.19) and those who worked as other than government employees were more likely to report SHS exposure at home (non-government employee: AOR=1.88, 95% CI: 1.06-3.36). Respondents with a total smoking restriction at home did not report any SHS exposure at home. Similarly, those whose workplace had smoking restrictions were less likely to report SHS exposure at the work compared to their counterparts whose workplace had partial (AOR=3.08, 95% CI: 1.84-5.15) or no smoking restrictions (AOR=15.33, 95% CI: 6.75-34.86). CONCLUSIONS A substantial proportion of Malaysian adults were exposed to SHS at home and at work. The findings emphasize the need for policies on smoking restrictions at work and the need to promote the adoption of a completely smoke-free home, among the Malaysian population.
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Affiliation(s)
| | - Hui Li Lim
- Hospital Sultan Haji Ahmad Shah, Pahang, Malaysia
| | | | | | - Pei Pei Heng
- Institute for Medical Research, Kuala Lumpur, Malaysia
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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: 497] [Impact Index Per Article: 82.8] [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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Galán I, Simón L, Boldo E, Ortiz C, Medrano MJ, Fernández-Cuenca R, Linares C, Pastor-Barriuso R. Impact of 2 Successive Smoking Bans on Hospital Admissions for Cardiovascular Diseases in Spain. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2018; 71:726-734. [PMID: 29673904 DOI: 10.1016/j.rec.2017.10.055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 10/10/2017] [Indexed: 12/23/2022]
Abstract
INTRODUCTION AND OBJECTIVES To evaluate the impact of 2 smoking bans enacted in 2006 (partial ban) and 2011 (comprehensive ban) on hospitalizations for cardiovascular disease in the Spanish adult population. METHODS The study was performed in 14 provinces in Spain. Hospital admission records were collected for acute myocardial infarction (AMI), ischemic heart disease (IHD), and cerebrovascular disease (CVD) in patients aged ≥ 18 years from 2003 through 2012. We estimated immediate and 1-year effects with segmented-linear models. The coefficients for each province were combined using random-effects multivariate meta-analysis models. RESULTS Overall, changes in admission rates immediately following the implementation of the partial ban and 1 year later were -1.8% and +1.2% for AMI, +0.1 and +0.4% for IHD, and +1.0% and +2.8% for CVD (P>.05). After the comprehensive ban, immediate changes were -2.3% for AMI, -2.6% for IHD, and -0.8% for CVD (P>.05), only to return to precomprehensive ban values 1 year later. For patients aged ≥ 65 years of age, immediate changes associated with the comprehensive ban were -5.0%, -3.9%, and -2.3% for AMI, IHD, and CVD, respectively (P<.05). Again, the 1-year changes were not statistically significant. CONCLUSIONS In Spain, smoking bans failed to significantly reduce hospitalizations for AMI, IHD, or CVD among patients ≥ 18 years of age. In the population aged ≥ 65 years, hospital admissions due to these diseases showed significant decreases immediately after the implementation of the comprehensive ban, but these reductions disappeared at the 1-year evaluation.
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Affiliation(s)
- Iñaki Galán
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain; Departamento de Medicina Preventiva y Salud Pública, Facultad de Medicina, Universidad Autónoma de Madrid/IdiPAZ, Madrid, Spain.
| | - Lorena Simón
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Elena Boldo
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Instituto de Investigación Sanitaria Puerta del Hierro, Madrid, Spain
| | - Cristina Ortiz
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain
| | - María José Medrano
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain
| | - Rafael Fernández-Cuenca
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Cristina Linares
- Escuela Nacional de Sanidad, Instituto de Salud Carlos III, Madrid, Spain
| | - Roberto Pastor-Barriuso
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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Galán I, Simón L, Boldo E, Ortiz C, Medrano MJ, Fernández-Cuenca R, Linares C, Pastor-Barriuso R. Impacto de la ley de medidas sanitarias frente al tabaquismo y su reforma en los ingresos hospitalarios por enfermedades cardiovasculares en España. Rev Esp Cardiol 2018. [DOI: 10.1016/j.recesp.2017.10.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Kalkhoran S, Benowitz NL, Rigotti NA. Prevention and Treatment of Tobacco Use: JACC Health Promotion Series. J Am Coll Cardiol 2018; 72:1030-1045. [PMID: 30139432 PMCID: PMC6261256 DOI: 10.1016/j.jacc.2018.06.036] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 06/22/2018] [Accepted: 06/24/2018] [Indexed: 01/07/2023]
Abstract
Tobacco use is the leading preventable cause of death worldwide and is a major risk factor for cardiovascular disease (CVD). Both prevention of smoking initiation among youth and smoking cessation among established smokers are key for reducing smoking prevalence and the associated negative health consequences. Proven tobacco cessation treatment includes pharmacotherapy and behavioral support, which are most effective when provided together. First-line medications (varenicline, bupropion, and nicotine replacement) are effective and safe for patients with CVD. Clinicians who care for patients with CVD should give as high a priority to treating tobacco use as to managing other CVD risk factors. Broader tobacco control efforts to raise tobacco taxes, adopt smoke-free laws, conduct mass media campaigns, and restrict tobacco marketing enhance clinicians' actions working with individual smokers.
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Affiliation(s)
- Sara Kalkhoran
- Tobacco Research and Treatment Center, Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts.
| | - Neal L Benowitz
- Division of Clinical Pharmacology and Experimental Therapeutics, Departments of Medicine and Bioengineering & Therapeutic Sciences, University of California, San Francisco, California
| | - Nancy A Rigotti
- Tobacco Research and Treatment Center, Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts.
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Future cost-effectiveness and equity of the NHS Health Check cardiovascular disease prevention programme: Microsimulation modelling using data from Liverpool, UK. PLoS Med 2018; 15:e1002573. [PMID: 29813056 PMCID: PMC5973555 DOI: 10.1371/journal.pmed.1002573] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Accepted: 04/26/2018] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Aiming to contribute to prevention of cardiovascular disease (CVD), the National Health Service (NHS) Health Check programme has been implemented across England since 2009. The programme involves cardiovascular risk stratification-at 5-year intervals-of all adults between the ages of 40 and 74 years, excluding any with preexisting vascular conditions (including CVD, diabetes mellitus, and hypertension, among others), and offers treatment to those at high risk. However, the cost-effectiveness and equity of population CVD screening is contested. This study aimed to determine whether the NHS Health Check programme is cost-effective and equitable in a city with high levels of deprivation and CVD. METHODS AND FINDINGS IMPACTNCD is a dynamic stochastic microsimulation policy model, calibrated to Liverpool demographics, risk factor exposure, and CVD epidemiology. Using local and national data, as well as drawing on health and social care disease costs and health-state utilities, we modelled 5 scenarios from 2017 to 2040: Scenario (A): continuing current implementation of NHS Health Check;Scenario (B): implementation 'targeted' toward areas in the most deprived quintile with increased coverage and uptake;Scenario (C): 'optimal' implementation assuming optimal coverage, uptake, treatment, and lifestyle change;Scenario (D): scenario A combined with structural population-wide interventions targeting unhealthy diet and smoking;Scenario (E): scenario B combined with the structural interventions as above. We compared all scenarios with a counterfactual of no-NHS Health Check. Compared with no-NHS Health Check, the model estimated cumulative incremental cost-effectiveness ratio (ICER) (discounted £/quality-adjusted life year [QALY]) to be 11,000 (95% uncertainty interval [UI] -270,000 to 320,000) for scenario A, 1,500 (-91,000 to 100,000) for scenario B, -2,400 (-6,500 to 5,700) for scenario C, -5,100 (-7,400 to -3,200) for scenario D, and -5,000 (-7,400 to -3,100) for scenario E. Overall, scenario A is unlikely to become cost-effective or equitable, and scenario B is likely to become cost-effective by 2040 and equitable by 2039. Scenario C is likely to become cost-effective by 2030 and cost-saving by 2040. Scenarios D and E are likely to be cost-saving by 2021 and 2023, respectively, and equitable by 2025. The main limitation of the analysis is that we explicitly modelled CVD and diabetes mellitus only. CONCLUSIONS According to our analysis of the situation in Liverpool, current NHS Health Check implementation appears neither equitable nor cost-effective. Optimal implementation is likely to be cost-saving but not equitable, while targeted implementation is likely to be both. Adding structural policies targeting cardiovascular risk factors could substantially improve equity and generate cost savings.
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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: 4467] [Impact Index Per Article: 744.5] [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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Lu L, Mackay DF, Pell JP. Secondhand smoke exposure and risk of incident peripheral arterial disease and mortality: a Scotland-wide retrospective cohort study of 4045 non-smokers with cotinine measurement. BMC Public Health 2018; 18:348. [PMID: 29551089 PMCID: PMC5858137 DOI: 10.1186/s12889-018-5227-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 02/27/2018] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Active smoking is an important risk factor for all-cause mortality and peripheral arterial disease (PAD). In contrast, published studies on the associations with secondhand smoke (SHS) are limited. The aim of this study was to examine the associations between SHS exposure and incident PAD, as well as mortality, among middle-aged non-smokers. METHODS We undertook a retrospective, cohort study using record linkage of the Scottish Health Surveys between 1998 and 2010 to hospital admissions and death certificates. Inclusion was restricted to participants aged > 45 years. Cox proportional hazard models were used to examine the association between SHS exposure and incident PAD (hospital admission or death) and all-cause mortality, with adjustment for potential confounders. RESULTS Of the 4045 confirmed non-smokers (self-reported non-smokers with salivary cotinine concentrations < 15 ng/mL), 1163 (28.8%) had either moderate or high exposure to SHS at baseline. In men, high exposure to SHS (cotinine ≥2.7 ng/mL) was associated with increased risk of all-cause mortality (fully adjusted hazard ratio [HR] 1.54, 95% CI 1.07-2.22, p = 0.020) with evidence of a dose-relationship (p for trend = 0.004). In men, high exposure to SHS was associated with increased risk of incident PAD over the first five years of follow-up (fully adjusted HR 4.29, 95% CI 1.14-16.10, p = 0.031) but the association became non-significant over longer term follow-up. CONCLUSIONS SHS exposure was independently associated with all-cause mortality and may be associated with PAD, but larger studies, or meta-analyses, are required to confirm the latter.
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Affiliation(s)
- Liya Lu
- Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK
| | - Daniel F Mackay
- Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK.
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Lee J, Han AR, Choi D, Lim KM, Bae S. Modeling lifetime costs and health outcomes attributable to secondhand smoke exposure at home among Korean adult women. BMJ Open 2017; 7:e013292. [PMID: 28515183 PMCID: PMC5623422 DOI: 10.1136/bmjopen-2016-013292] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
PURPOSE The aim of this research is to estimate lifetime costs and health consequences for Korean adult women who were exposed to secondhand smoke (SHS) at home. METHODS A Markov model was developed to project the lifetime healthcare costs and health outcomes of a hypothetical cohort of Korean women who are 40 years old and were married to current smokers. The Korean epidemiological data were used to reflect the natural history of SHS-exposed and non-exposed women. The direct healthcare costs (in 2014 US dollars) and quality-adjusted life years (QALYs) were annually discounted at 5% to reflect time preference. The time horizon of the analysis was lifetime and the cycle length was 1 year. Deterministic and probabilistic sensitivity analyses were conducted. RESULTS In the absence of SHS exposure, Korean women will live 41.32 years or 34.56 QALYs before discount, which corresponded to 17.29 years or 15.35 QALYs after discount. The SHS-exposed women were predicted to live 37.91 years and 31.08 QALYs before discount and 16.76 years and 14.62 QALYs after discount. The estimated lifetime healthcare cost per woman in the SHS non-exposed group was US$11 214 before the discount and US$2465 after discount. The negative impact of SHS exposure on health outcomes and healthcare costs escalated as the time horizon increased, suggesting that the adverse impact of SHS exposure may have higher impact on the later part of the lifetime. The result was consistent across a wide range of assumptions. CONCLUSION Life expectancy might underestimate the impact of SHS exposure on health outcomes, especially if the time horizon of the analysis is not long enough. Early intervention on smoking behaviour could substantially reduce direct healthcare costs and improve quality of life attributable to SHS exposure.
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Affiliation(s)
- Jiyae Lee
- College of Pharmacy, Ewha Womans University, Seoul, Republic of Korea
| | - Ah Ram Han
- College of Pharmacy, Ewha Womans University, Seoul, Republic of Korea
| | - Dalwoong Choi
- Department of Public Health Science, Graduate School, Korea University, Seoul, Republic of Korea
| | - Kyung-Min Lim
- College of Pharmacy, Ewha Womans University, Seoul, Republic of Korea
| | - SeungJin Bae
- College of Pharmacy, Ewha Womans University, Seoul, Republic of Korea
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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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