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Chen X, Zhang L, Zhang Q, Zhao R. The effects of cigarette smoking on the associations between sitting time and all-cause mortality: a meta-analysis. Eur J Public Health 2019; 29:315-319. [PMID: 29982348 DOI: 10.1093/eurpub/cky121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Sedentary behavior is recognized as an independent risk factor for mortality, but it remains unclear whether cigarette smoking will aggravate the detrimental effects of prolonged sitting on mortality. This study examined the impact of cigarette smoking on the relationship between sitting time and all-cause mortality in adults. METHODS Electronic database searches were conducted in PubMed, Web of Science, and the EMBASE up to 1 June 2017. Prospective studies that reported sitting time, percent of current smokers, and all-cause mortality were included. Data were extracted independently by two authors. RESULTS Ten prospective studies met the inclusion criteria. These studies included 850990 adults who were followed up for 2-15.7 years, during which 64 781 died (7.6%). Generally, during follow-up sitting time showed a dose-response relationship with all-cause mortality, with each 1 h increment of sitting time per day accounting for hazard ratio (HR) of mortality 1.02 (95%CI, 1.02-1.03). The relationship remained significant when stratified by the quartiles of smoking populations (≤8.4%, 8.5%-12.6%, 12.7%-27.9%, and ≥28.0%), and the risk of sitting time-related mortality increased parallel to the increment of the percent of smoking populations, with HRs 1.02 (95%CI, 1.02-1.03), 1.03 (95%CI, 1.02-1.03), 1.04 (95%CI, 1.03-1.04) and 1.06 (95%CI, 1.06-1.06), respectively. The associations between the risk of prolonged sitting-related mortality and the percent of smoking populations were linear (P = 0.032). CONCLUSIONS Cigarette smoking significantly aggravated the detrimental effects of sitting time on all-cause mortality. Our findings provided further evidence on the harmful effects of smoking combing prolonged sitting on adult health.
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Affiliation(s)
- Xianguo Chen
- Department of Cardio-Thoracic Surgery, Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, China
| | - Liuji Zhang
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China.,Jiangdong Middle School, Yiwu, Zhejiang, China
| | - Qi Zhang
- College of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, Zhejiang, China
| | - Renqing Zhao
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
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202
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Kim K, Choi S, Lee G, Jeong SM, Kim SM, Son JS, Yun JM, Kim YY, Park SY, Park SM. Cancer risk among young men with weight gain after smoking cessation: A population-based cohort study. Cancer Epidemiol 2019; 60:86-92. [PMID: 30933889 DOI: 10.1016/j.canep.2019.03.005] [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] [Received: 12/19/2018] [Revised: 03/04/2019] [Accepted: 03/11/2019] [Indexed: 01/10/2023]
Abstract
BACKGROUND Smoking cessation may help the current smokers to reduce cancer risk. However, weight gain following smoking cessation may attenuate the protective association of cessation with cancer. PATIENTS AND METHODS Our study included 1,278,794 men who were aged 20-39 years and underwent two consecutive health examinations by the National Health Insurance Service, without previous diagnosis of cancer. Participants were categorized into continual smokers, quitters with different degree of body weight change, and never smokers based on the biennial national health screening program (2002-2003 and 2004-2005) and were followed from January 1, 2006 to December 31, 2015. Cox proportional hazard models and restricted cubic spline model was used to evaluate the association of post-cessation weight change and cancer risk after adjustment for potential confounders. RESULTS During the 10 years of follow-up, the analyses included 1,278,794 men with 21,494 cancer incidences. Compared to continual smokers, quitters without weight gain of 2.0 kg had significantly lower risk of obesity-related cancer (hazard ratio [HR], 0.88; 95% confidence interval [CI], 0.79-0.97), smoking-related cancer (HR, 0.90; 95% CI, 0.83 to 0.98), and gastrointestinal cancer (HR, 89; 95% CI, 0.80 to 0.98). Weight gain among quitters attenuated the risk reduction of cancer compared to continual smoking. Among quitters, weight gain up to 5.0 kg with smoking cessation showed protective association with cancer risk among quitters without weight gain. CONCLUSION Excessive weight gain with smoking cessation among quitters was not associated with reduced risk of several cancer types. This association should be taken into account when recommending smoking cessation to prevent cancer.
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Affiliation(s)
- Kyuwoong Kim
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Seulggie Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Gyeongsil Lee
- Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Su-Min Jeong
- Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sung Min Kim
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Joung Sik Son
- Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jae-Moon Yun
- Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yeon-Yong Kim
- Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea; Big Data Steering Department, National Health Insurance Service, Wonju, Republic of Korea
| | - Seong Yong Park
- Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea; Big Data Steering Department, National Health Insurance Service, Wonju, Republic of Korea
| | - Sang Min Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea; Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea.
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203
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Development and Validation of the Policies, Opportunities, Initiatives and Notable Topics (POINTS) Audit for Campuses and Worksites. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16050778. [PMID: 30836633 PMCID: PMC6427413 DOI: 10.3390/ijerph16050778] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 02/19/2019] [Accepted: 02/26/2019] [Indexed: 12/22/2022]
Abstract
Background: Workplace or campus wellness/obesity-prevention policies and initiatives can improve health. Research tools to assess worksite or campus policies/initiatives are scarce. Thus, the aim of this research is to develop and validate the policies, opportunities, initiatives, and notable topics (POINTS) audit. Methods: POINTS was developed and refined via expert review, pilot-testing, and field testing. Trained researchers completed a web-based review from a student-focus or employee-focus regarding 34 health-promoting topics for colleges. Each topic was evaluated on a 0⁻2 scale: 0 = no policy/initiative, 1 = initiatives, 2 = written policy. When a written policy was detected, additional policy support questions (administered, monitored, reviewed) were completed. Results: Cronbach's Alpha for the student-focused POINTS audit was α = 0.787 (34 items, possible points = 65), and for the employee-focused POINTS audit was α = 0.807 (26 items, possible points = 50). A total of 115 student-focused and 33 employee-focused audits were completed. Although there was little evidence of policy presence beyond stimulant standards (smoking and alcohol), there were extensive examples of health initiatives. The student-focused POINTS audit was validated using the Healthier Campus Initiative's survey. Conclusions: POINTS is a web-based audit tool that is valid and useful for pre-assessment, advocacy, benchmarking, and tracking policies for health and well-being for students (campus) and employees (worksite).
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204
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Zhao Q, Coelho MSZS, Li S, Saldiva PHN, Hu K, Abramson MJ, Huxley RR, Guo Y. Temperature variability and hospitalization for cardiac arrhythmia in Brazil: A nationwide case-crossover study during 2000-2015. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 246:552-558. [PMID: 30594895 DOI: 10.1016/j.envpol.2018.12.063] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 12/19/2018] [Accepted: 12/19/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND There is growing recognition of a potential role for environmental and climatic factors in influencing cardiovascular risk. It has been speculated that temperature variability (TV) is a risk factor for cardiac arrhythmia but evidence is limited. OBJECTIVE To quantify the geographic and demographic variations in the association between TV and hospitalization for cardiac arrhythmia in Brazil during 2000-2015. METHODS Data on hospitalization for arrhythmia and weather conditions were collected from 1,814 cities. TV was calculated as the standard deviation of daily maximum and minimum temperatures during exposure days. A time-stratified case-crossover approach was applied to examine the city-specific association between TV and hospitalization for arrhythmia. City-specific estimates were pooled at the national and regional levels using a random-effect meta-analysis. Stratified analyses were conducted by sex, three age-groups (0-64, 65-74 and ≥75 years), and three arrhythmia subtypes (paroxysmal tachycardia, atrial fibrillation and flutter, and other arrhythmias). RESULTS There were 447,667 arrhythmia-related hospitalizations during 2000-2015. The odds ratio of hospitalization per 1 °C increase in TV peaked on 0-1 days' exposure [1.012 (95% confidence interval: 1.010-1.015)]. There were no substantial differences in effect estimates of TV0-1 by region, age or sex, except for the non-significant association observed in the north. However, women were more affected by prolonged TV exposure than men. For the three arrhythmias subtypes, only paroxysmal tachycardia and other arrhythmias were sensitive to TV. Assuming a causal relationship, 35,813 (95%CI: 18,302-51,665) cases were attributable to TV0-1 in Brazil during 2000-2015, accounting for 8.0% (95%CI: 4.1-11.5%) of hospitalizations for cardiac arrhythmia. CONCLUSIONS At a population-level exposure to TV was associated with increased risk of arrhythmia-related hospitalization in Brazil, with the relationship equally distributed across most residents but varied by arrhythmia subtypes. Our findings add to the accumulating evidence-base that climatic factors can influence cardiovascular outcomes in populations.
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Affiliation(s)
- Qi Zhao
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | | | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia.
| | - Paulo H N Saldiva
- Institute of Advanced Studies, University of São Paulo, São Paulo, 05508-970, Brazil
| | - Kejia Hu
- Institute of Island and Coastal Ecosystems, Ocean College, Zhejiang University, Zhoushan, 316021, China
| | - Michael J Abramson
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia
| | - Rachel R Huxley
- College of Science, Health and Engineering, La Trobe University, Melbourne, 3086, Australia
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, 3004, Australia.
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205
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Weight change after smoking cessation and incident metabolic syndrome in middle-aged Korean men: an observational study. Sci Rep 2019; 9:3103. [PMID: 30816310 PMCID: PMC6395682 DOI: 10.1038/s41598-019-39811-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 01/24/2019] [Indexed: 11/17/2022] Open
Abstract
We aimed to examine the effect of weight change attributable to cessation of cigarette smoking on newly diagnosed metabolic syndrome (MetS). We prospectively followed 5,809 men aged between 40 to 69 years without MetS at baseline in the Health Examinees-Gem (HEXA-G) study up to 4 years. The participants were grouped into continual smokers, quitters with weight gain, quitters without weight change, quitters with weight loss, and never smokers. We constructed multivariable logistic regression models adjusted for sociodemographic factors, health status, and health conditions to estimate the odds of newly diagnosed MetS. During the follow-up, there were 609 cases of newly diagnosed MetS in 5,809 men of the HEXA-G study. After adjustment for potential confounders, the odd ratios (OR) and 95% confidence intervals (95% CI) for MetS were 1.90 (95% CI: 1.43–2.52) in quitters with weight gain, 0.77 (95% CI: 0.60–1.00) in quitters without weight change, and 0.40 (95% CI: 0.28–0.57) in quitters with weight loss compared with continual smokers. Never smokers also had lower odds of MetS (OR = 0.54; 95% CI: 0.42–0.71) compared to continual smokers. Weight management program following smoking cessation may be necessary in clinical practice to reduce worsening of cardiometabolic risk factors related to post-cessation weight gain.
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206
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Cierpka-Kmieć K, Hering D. Tachycardia: The hidden cardiovascular risk factor in uncomplicated arterial hypertension. Cardiol J 2019; 27:857-867. [PMID: 30799548 DOI: 10.5603/cj.a2019.0021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 02/04/2019] [Indexed: 12/30/2022] Open
Abstract
Early detection and management of elevated blood pressure is crucial in reducing the burden of cardiovascular disease (CVD). The importance of an absolute risk assessment and patient risk stratification has been highlighted in the European hypertension guidelines since 2003. Amongst numerous risk factors influencing patient prognosis, elevated heart rate (HR) has been indicated as important predictor of future risk of hypertension, coronary heart disease, sudden cardiac death, heart failure, CVD, stroke, total cancer and mortality. Given that resting HR can be easily determined in clinical practice and modified by lifestyle changes as well as beta-blocker therapy, it seems reasonable that lowering resting HR should be a potential target to reduce disease burden and premature mortality. However, there is a lack of outcome studies of HR lowering in tachycardia-related hypertension. This review outlines the underlying mechanisms of early course hypertension pathophysiology with the critical role of the sympathetic nervous system activation, the prognostic significance of fast HR and the mechanistic rationale for the use of non-pharmacological approaches and/or highly long-acting cardioselective beta-blockers with some consideration given to betaxolol properties.
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Affiliation(s)
| | - Dagmara Hering
- Medical University of Gdansk, Poland, Debinki 7, 80-952 Gdansk, Poland.
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207
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Kirkham AA, Beaudry RI, Paterson DI, Mackey JR, Haykowsky MJ. Curing breast cancer and killing the heart: A novel model to explain elevated cardiovascular disease and mortality risk among women with early stage breast cancer. Prog Cardiovasc Dis 2019; 62:116-126. [PMID: 30797800 DOI: 10.1016/j.pcad.2019.02.002] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Accepted: 02/03/2019] [Indexed: 12/13/2022]
Abstract
Due to advances in prevention, early detection and treatment, early breast cancer mortality has decreased by nearly 40% during the last four decades. Yet, the risk of cardiovascular disease (CVD) mortality is significantly elevated following a breast cancer diagnosis, and it is a leading cause of death in this population. This review will discuss the most recent evidence for risks, pathology, mechanisms, and prevention of CVD morbidity and mortality in women with breast cancer. This evidence will be synthesized into a new model 'the compounding risk and protection model.' This model proposes that the balance between risk factors (i.e., older age, pre-existing traditional CVD risk factors and shared biologic pathways for CVD and cancer such as inflammation, as well as treatment-related and lifestyle toxicity) and potential protection factors (i.e., lifelong non-smoking, regular physical activity, a healthy diet rich in fruits and vegetables, and management of body weight and stress, heart failure therapy) determine the individual risk of CVD morbidity and mortality after diagnosis of early breast cancer.
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Affiliation(s)
- Amy A Kirkham
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada
| | - Rhys I Beaudry
- Integrated Cardiovascular Exercise Physiology and Rehabilitation Laboratory, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, USA
| | - D Ian Paterson
- Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - John R Mackey
- Department of Oncology, University of Alberta, Edmonton, Canada; Medical Oncology, Cross Cancer Institute, Edmonton, Canada
| | - Mark J Haykowsky
- Integrated Cardiovascular Exercise Physiology and Rehabilitation Laboratory, College of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, USA.
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208
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Minué-Lorenzo C, Olano-Espinosa E. Tabaquismo, el gran olvidado en el cálculo y abordaje del riesgo cardiovascular. Med Clin (Barc) 2019; 152:154-158. [DOI: 10.1016/j.medcli.2018.07.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 07/16/2018] [Accepted: 07/16/2018] [Indexed: 11/28/2022]
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209
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Risk factors for low back pain with special reference to current smoking. Spine J 2019; 19:373. [PMID: 30660242 DOI: 10.1016/j.spinee.2018.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 09/05/2018] [Indexed: 02/03/2023]
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210
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van Waateringe RP, Fokkens BT, Slagter SN, van der Klauw MM, van Vliet-Ostaptchouk JV, Graaff R, Paterson AD, Smit AJ, Lutgers HL, Wolffenbuttel BHR. Skin autofluorescence predicts incident type 2 diabetes, cardiovascular disease and mortality in the general population. Diabetologia 2019; 62:269-280. [PMID: 30460578 PMCID: PMC6323092 DOI: 10.1007/s00125-018-4769-x] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 10/04/2018] [Indexed: 01/01/2023]
Abstract
AIMS/HYPOTHESIS Earlier studies have shown that skin autofluorescence measured with an AGE reader estimates the accumulation of AGEs in the skin, which increases with ageing and is associated with the metabolic syndrome and type 2 diabetes. In the present study, we examined whether the measurement of skin autofluorescence can predict 4 year risk of incident type 2 diabetes, cardiovascular disease (CVD) and mortality in the general population. METHODS For this prospective analysis, we included 72,880 participants of the Dutch Lifelines Cohort Study, who underwent baseline investigations between 2007 and 2013, had validated baseline skin autofluorescence values available and were not known to have diabetes or CVD. Individuals were diagnosed with incident type 2 diabetes by self-report or by a fasting blood glucose ≥7.0 mmol/l or HbA1c ≥48 mmol/mol (≥6.5%) at follow-up. Participants were diagnosed as having incident CVD (myocardial infarction, coronary interventions, cerebrovascular accident, transient ischaemic attack, intermittent claudication or vascular surgery) by self-report. Mortality was ascertained using the Municipal Personal Records Database. RESULTS After a median follow-up of 4 years (range 0.5-10 years), 1056 participants (1.4%) had developed type 2 diabetes, 1258 individuals (1.7%) were diagnosed with CVD, while 928 (1.3%) had died. Baseline skin autofluorescence was elevated in participants with incident type 2 diabetes and/or CVD and in those who had died (all p < 0.001), compared with individuals who survived and remained free of the two diseases. Skin autofluorescence predicted the development of type 2 diabetes, CVD and mortality, independent of several traditional risk factors, such as the metabolic syndrome, glucose and HbA1c. CONCLUSIONS/INTERPRETATION The non-invasive skin autofluorescence measurement is of clinical value for screening for future risk of type 2 diabetes, CVD and mortality, independent of glycaemic measures and the metabolic syndrome.
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Affiliation(s)
- Robert P van Waateringe
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, HPC AA31 9700 RB, Groningen, the Netherlands
| | - Bernardina T Fokkens
- Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Sandra N Slagter
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, HPC AA31 9700 RB, Groningen, the Netherlands
| | - Melanie M van der Klauw
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, HPC AA31 9700 RB, Groningen, the Netherlands
| | - Jana V van Vliet-Ostaptchouk
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, HPC AA31 9700 RB, Groningen, the Netherlands
| | - Reindert Graaff
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, HPC AA31 9700 RB, Groningen, the Netherlands
| | - Andrew D Paterson
- Program in Genetics and Genome Biology, Hospital for Sick Children, Toronto, ON, Canada
| | - Andries J Smit
- Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Helen L Lutgers
- Department of Internal Medicine, Medical Center Leeuwarden, Leeuwarden, the Netherlands
| | - Bruce H R Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, HPC AA31 9700 RB, Groningen, the Netherlands.
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Noubiap JJ, Nansseu JR, Endomba FT, Ngouo A, Nkeck JR, Nyaga UF, Kaze AD, Bigna JJ. Active smoking among people with diabetes mellitus or hypertension in Africa: a systematic review and meta-analysis. Sci Rep 2019; 9:588. [PMID: 30679752 PMCID: PMC6345945 DOI: 10.1038/s41598-018-37858-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 12/15/2018] [Indexed: 12/27/2022] Open
Abstract
The objective was to summarize existing data on the prevalence of active tobacco smoking among patients with hypertension or diabetes mellitus in Africa. We searched PubMed, EMBASE, and AJOL to include studies published from January 01, 2000 to August 23, 2017 reporting on the prevalence of active smoking in individuals aged ≥15 years with hypertension or diabetes mellitus residing inside Africa. We used a random-effects meta-analysis model to pool studies. The pooled prevalence of active smoking among patients with hypertension or diabetes was 12.9% (95%CI: 10.6–15.3; 50 studies; 16,980 patients) and 12.9% (95%CI: 9.6–16.6; 42 studies; 18,564 patients), respectively. For both conditions, the prevalence of active smoking was higher in males than in females (p < 0.001), and in Northern compared to sub-Saharan Africa (p < 0.001). There was no difference between urban and rural settings, and between community-based and hospital-based studies, except for patients with diabetes for whom the prevalence was higher in hospital-based studies (p = 0.032). The prevalence of active smoking is high among patients with hypertension or diabetes mellitus in Africa, with the heaviest burden in Northern Africa. Interventions for smoking prevention or cessation should be implemented in these high risk populations, targeting particularly the males.
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Affiliation(s)
- Jean Jacques Noubiap
- Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa
| | - Jobert Richie Nansseu
- Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon.,Department for the Control of Disease, Epidemics and Pandemics, Ministry of Public Health, Yaoundé, Cameroon
| | - Francky Teddy Endomba
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Anderson Ngouo
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Jan René Nkeck
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Ulrich Flore Nyaga
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | - Arnaud D Kaze
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jean Joel Bigna
- Department of Epidemiology and Public Health, Centre Pasteur of Cameroon, Yaoundé, Cameroon. .,Faculty of Medicine, University of Paris Sud XI, Le Kremlin-Bicêtre, France.
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212
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Hersi M, Traversy G, Thombs BD, Beck A, Skidmore B, Groulx S, Lang E, Reynolds DL, Wilson B, Bernstein SL, Selby P, Johnson-Obaseki S, Manuel D, Pakhale S, Presseau J, Courage S, Hutton B, Shea BJ, Welch V, Morrow M, Little J, Stevens A. Effectiveness of stop smoking interventions among adults: protocol for an overview of systematic reviews and an updated systematic review. Syst Rev 2019; 8:28. [PMID: 30660199 PMCID: PMC6339342 DOI: 10.1186/s13643-018-0928-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 12/20/2018] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Tobacco smoking is the leading cause of cancer, preventable death, and disability. Smoking cessation can increase life expectancy by nearly a decade if achieved in the third or fourth decades of life. Various stop smoking interventions are available including pharmacotherapies, electronic cigarettes, behavioural support, and alternative therapies. This protocol outlines an evidence review which will evaluate the benefits and harms of stop smoking interventions in adults. METHODS The evidence review will consist of two stages. First, an overview of systematic reviews evaluating the benefits and harms of various stop smoking interventions delivered in or referred from the primary care setting will be conducted. The second stage will involve updating a systematic review on electronic cigarettes identified in the overview; randomized controlled trials will be considered for outcomes relating to benefits while randomized controlled trials, non-randomized controlled trials, and comparative observational studies will be considered for evaluating harms. Search strategies will be developed and peer-reviewed by medical information specialists. The search strategy for the updated review on e-cigarettes will be developed using that of the candidate systematic review. The MEDLINE®, PsycINFO, Embase, and the Cochrane Library electronic databases will be searched as of 2008 for the overview of reviews and from the last search date of the selected review for the updated review. Organizational websites and trial registries will be searched for unpublished or ongoing reviews/studies. Two reviewers will independently screen the title and abstracts of citations using the liberal accelerated method. Full-text screening will be performed independently by two reviewers. Extracted data will be verified by a second reviewer. Disagreements regarding full-text screening and data extraction will be resolved by consensus or third-party adjudication. The methodological quality of systematic reviews, risk of bias of randomized and non-randomized trials, and methodological quality of cohort studies will be evaluated using AMSTAR 2, the Cochrane risk of bias tool, and a modified version of the Scottish Intercollegiate Guidelines Network critical appraisal tool, respectively. The GRADE framework will be used to assess the quality of the evidence for outcomes. DISCUSSION The evidence review will evaluate the benefits and harms of various stop smoking interventions for adults. Findings will be used to inform a national tobacco cessation guideline by the Canadian Task Force on Preventive Health Care. SYSTEMATIC REVIEW REGISTRATION PROSPERO (CRD42018099691, CRD42018099692).
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Affiliation(s)
- Mona Hersi
- Knowledge Synthesis Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Centre for Practice-Changing Research, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8L6 Canada
| | | | - Brett D. Thombs
- Lady Davis Institute of the Jewish General Hospital, Montreal, Quebec Canada
- Department of Psychiatry, McGill University, Montreal, Quebec Canada
| | - Andrew Beck
- Knowledge Synthesis Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Centre for Practice-Changing Research, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8L6 Canada
| | - Becky Skidmore
- Knowledge Synthesis Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Centre for Practice-Changing Research, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8L6 Canada
| | - Stéphane Groulx
- Department of Community Health Sciences, University of Sherbrooke, Sherbrooke, Quebec Canada
- Centre de recherche Charles-Le Moyne – Saguenay–Lac-Saint-Jean sur les innovations en santé (CR-CSIS), Université de Sherbrooke, Quebec, Quebec Canada
| | - Eddy Lang
- University of Calgary Cumming School of Medicine, Calgary, Alberta Canada
- Alberta Health Services, Calgary, Alberta Canada
| | - Donna L. Reynolds
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario Canada
| | - Brenda Wilson
- Division of Community Health and Humanities, Memorial University of Newfoundland, St. John’s, Newfoundland Canada
| | - Steven L. Bernstein
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT USA
| | - Peter Selby
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario Canada
- Addictions Division, Centre for Addiction and Mental Health, Toronto, Ontario Canada
| | - Stephanie Johnson-Obaseki
- Department of Otolaryngology, University of Ottawa, Ottawa, Ontario Canada
- The Ottawa Hospital, Ottawa, Ontario Canada
| | - Douglas Manuel
- The Ottawa Hospital, Ottawa, Ontario Canada
- Department of Family Medicine, University of Ottawa, Ottawa, Ontario Canada
- Ottawa Hospital Research Institute, Ottawa, Ontario Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario Canada
- Bruyere Research Institute, Ottawa, Ontario Canada
| | - Smita Pakhale
- The Ottawa Hospital, Ottawa, Ontario Canada
- Ottawa Hospital Research Institute, Ottawa, Ontario Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario Canada
| | - Justin Presseau
- Ottawa Hospital Research Institute, Ottawa, Ontario Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario Canada
- School of Psychology, University of Ottawa, Ottawa, Ontario Canada
| | - Susan Courage
- Public Health Agency of Canada, Ottawa, Ontario Canada
| | - Brian Hutton
- Knowledge Synthesis Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Centre for Practice-Changing Research, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8L6 Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario Canada
| | - Beverley J. Shea
- Knowledge Synthesis Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Centre for Practice-Changing Research, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8L6 Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario Canada
| | - Vivian Welch
- Ottawa Hospital Research Institute, Ottawa, Ontario Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario Canada
- Bruyere Research Institute, Ottawa, Ontario Canada
| | - Matt Morrow
- Patient representative, Vancouver, British Columbia Canada
| | - Julian Little
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario Canada
| | - Adrienne Stevens
- Knowledge Synthesis Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Centre for Practice-Changing Research, 501 Smyth Road, Box 201, Ottawa, Ontario K1H 8L6 Canada
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Viana DA, Andrade FCD, Martins LC, Rodrigues LR, dos Santos Tavares DM. Differences in quality of life among older adults in Brazil according to smoking status and nicotine dependence. Health Qual Life Outcomes 2019; 17:1. [PMID: 30606205 PMCID: PMC6318844 DOI: 10.1186/s12955-018-1072-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 12/17/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Research on quality of life QOL is limited in Brazil and few studies have examined the association between smoking status and quality of life. This study addresses this gap and also examines the association between smoking, nicotine dependence, and duration of smoking cessation on (QOL) among older adults in an urban area in Brazil. METHODS Data are from a household survey conducted in urban areas of Uberaba, Brazil, in 2012 (n = 980). Multivariable linear regressions were used to evaluate the association between smoking, nicotine dependence based on Fageström test, and smoking cessation on the World Health Organization Quality of Life WHOQOL-BREF and Quality of Life Assessment for Older Adults WHOQOL-OLD. RESULTS The mean age of older adults in the study was 74.0 (SD = 6.9 years) and 64% of participants were women. The majority, 55% had never smoked, 12.4% were current smokers, and 32.7% were past-smokers. Current smokers had lower scores for social participation (β = - 2.6) and intimacy (β = - 3.8) than never smokers. Smokers with high or very high dependence reported higher levels of fear and concern about death and pain before death than those with low or very low dependence (β = - 10.6). However, smokers with medium levels of nicotine dependence had higher scores on social relationship. Longer cessation time was positively associated with higher scores for psychological health. CONCLUSIONS Except for the positive association between medium levels of nicotine dependence and better social relationships, smoking and higher levels of nicotine dependence were associated with worse QOL among older adults in Brazil. Nonetheless, smoking cessation had positive effects in QOL. Campaigns targeting older adults should point to the negative impact of tobacco use on QOL and the benefits of smoking cessation.
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Affiliation(s)
- Dayane Aparecida Viana
- Gerontology program, Universidade Estadual de Campinas, Rua Tessália Vieira de Camargo, Campinas, SP 126 Brazil
| | | | - Luiz Claudio Martins
- Gerontology program, Universidade Estadual de Campinas, Rua Tessália Vieira de Camargo, Campinas, SP 126 Brazil
| | - Leiner Resende Rodrigues
- Nursing, Education and Community Health Department, Universidade Federal do Triângulo Mineiro – Uberaba, Av. Getúlio Guaritá, Uberaba, MG 107 Brazil
| | - Darlene Mara dos Santos Tavares
- Nursing, Education and Community Health Department, Universidade Federal do Triângulo Mineiro – Uberaba, Av. Getúlio Guaritá, Uberaba, MG 107 Brazil
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214
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Kulak JA, LaValley S. Cigarette use and smoking beliefs among older Americans: findings from a nationally representative survey. J Addict Dis 2018; 37:46-54. [PMID: 30574840 DOI: 10.1080/10550887.2018.1521255] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Background: Between 2005 and 2015, the prevalence of smoking among US adults has decreased for all age subgroups, except those aged 65 and older. Aim: In order to identify potential correlates of smoking behaviors in older adults, this research examined associations between age, smoking beliefs, and quitline utilization. Methods: Self-reported, nationally representative data from the Health Information National Trends Survey 2015 cycle (HINTS-FDA) were used (n = 3738). Multivariable logistic regression analyses examined associations between sociodemographic characteristics and beliefs about smoking behaviors. All analyses were conducted with jackknife estimation using sampling weights. Results: Among all survey respondents, 10.5% of those aged 65+ were current smokers (smoked 100 lifetime cigarettes and currently smoked every day or some days). These older adults, compared to those aged 18-29 years, had significantly higher odds of agreeing that smoking behavior is something one can do little to change (AOR = 1.89, 95% CI =1.08, 3.28) and agreeing that nicotine is the substance that causes cancer (AOR = 3.93, 95% CI = 2.17, 7.12). Post hoc analyses compared midlife adults (ages 50-64) with older adults (ages 65+), and indicated older adults had lower odds of having used a quitline/smoking cessation website (AOR = 0.36, 95% CI = 0.14, 0.94, p = 0.04) compared to their midlife peers. Discussion: US adults aged 65 and older hold erroneous beliefs about cigarette smoking behaviors and are less likely to utilize quitline supports. This may be contributing to the stagnant smoking rates among older adults. Smoking cessation efforts targeting older adult Americans are critical in order to stem tobacco use among all Americans.
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Affiliation(s)
- Jessica A Kulak
- a Department of Family Medicine , Primary Care Research Institute , University at Buffalo , Buffalo , NY , USA
| | - Susan LaValley
- a Department of Family Medicine , Primary Care Research Institute , University at Buffalo , Buffalo , NY , USA
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215
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Hartmann-Boyce J, Fanshawe TR, Lindson N, Livingstone-Banks J, Ordóñez-Mena JM, Aveyard P. Behavioural interventions for smoking cessation: an overview and network meta-analysis. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2018. [DOI: 10.1002/14651858.cd013229] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Jamie Hartmann-Boyce
- University of Oxford; Nuffield Department of Primary Care Health Sciences; Radcliffe Observatory Quarter Woodstock Road Oxford UK OX2 6GG
| | - Thomas R Fanshawe
- University of Oxford; Nuffield Department of Primary Care Health Sciences; Radcliffe Observatory Quarter Woodstock Road Oxford UK OX2 6GG
| | - Nicola Lindson
- University of Oxford; Nuffield Department of Primary Care Health Sciences; Radcliffe Observatory Quarter Woodstock Road Oxford UK OX2 6GG
| | - Jonathan Livingstone-Banks
- University of Oxford; Nuffield Department of Primary Care Health Sciences; Radcliffe Observatory Quarter Woodstock Road Oxford UK OX2 6GG
| | - José M. Ordóñez-Mena
- University of Oxford; Nuffield Department of Primary Care Health Sciences; Radcliffe Observatory Quarter Woodstock Road Oxford UK OX2 6GG
| | - Paul Aveyard
- University of Oxford; Nuffield Department of Primary Care Health Sciences; Radcliffe Observatory Quarter Woodstock Road Oxford UK OX2 6GG
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216
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Cheng E, Um CY, Prizment A, Lazovich D, Bostick RM. Associations of evolutionary-concordance diet, Mediterranean diet and evolutionary-concordance lifestyle pattern scores with all-cause and cause-specific mortality. Br J Nutr 2018:1-10. [PMID: 30560736 PMCID: PMC6581641 DOI: 10.1017/s0007114518003483] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Various individual diet and lifestyle factors are associated with mortality. Investigating these factors collectively may help clarify whether dietary and lifestyle patterns contribute to life expectancy. We investigated the association of previously described evolutionary-concordance and Mediterranean diet pattern scores and a novel evolutionary-concordance lifestyle pattern score with all-cause and cause-specific mortality in the prospective Iowa Women's Health Study (1986-2012). We created the diet pattern scores from Willett FFQ responses, and the lifestyle pattern score from self-reported physical activity, BMI and smoking status, and assessed their associations with mortality, using multivariable Cox proportional hazards regression. Of the 35 221 55- to 69-year-old cancer-free women at baseline, 18 687 died during follow-up. The adjusted hazard ratios (HR) and 95 % CI for all-cause, all CVD, and all-cancer mortality among participants in the highest relative to the lowest quintile of the evolutionary-concordance lifestyle score were, respectively, 0·52 (95 % CI 0·50, 0·55), 0·53 (95 % CI 0·49, 0·57) and 0·51 (95 % CI 0·46, 0·57). The corresponding findings for the Mediterranean diet score were HR 0·85 (95 % CI 0·82, 0·90), 0·83 (95 % CI 0·76, 0·90) and 0·93 (95 % CI 0·84, 1·03), and for the evolutionary-concordance diet score they were close to null and not statistically significant. The lowest estimated risk was among those in the highest joint quintile of the lifestyle score and either diet score (both Pinteraction <0·01). Our findings suggest that (1) a more Mediterranean-like diet pattern and (2) a more evolutionary-concordant lifestyle pattern, alone and in interaction with a more evolutionary-concordant or Mediterranean diet pattern, may be inversely associated with mortality.
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Affiliation(s)
- En Cheng
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Caroline Y. Um
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
| | - Anna Prizment
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA
| | - DeAnn Lazovich
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA
| | - Roberd M. Bostick
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, Georgia, USA
- Winship Cancer Institute, Emory University, Atlanta, Georgia, USA
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217
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Gaalema DE, Pericot-Valverde I, Bunn JY, Villanti AC, Cepeda-Benito A, Doogan NJ, Keith DR, Kurti AN, Lopez AA, Nighbor T, Parker MA, Quisenberry AJ, Redner R, Roberts ME, Stanton CA, Ades PA, Higgins ST. Tobacco use in cardiac patients: Perceptions, use, and changes after a recent myocardial infarction among US adults in the PATH study (2013-2015). Prev Med 2018; 117:76-82. [PMID: 29746974 PMCID: PMC6195824 DOI: 10.1016/j.ypmed.2018.05.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 04/30/2018] [Accepted: 05/05/2018] [Indexed: 11/29/2022]
Abstract
Smoking status following cardiac events strongly predicts future morbidity and mortality. Using a nationally representative sample of United States adults, aims of this study were (1) to estimate use of, and attitudes towards, tobacco products as a function of level of cardiac risk, and (2) to explore changes in attitudes and tobacco use among adults experiencing a recent myocardial infarction (MI). Data were obtained from the first and second waves of the Population Assessment of Tobacco and Health (PATH) study. Use and attitudes towards tobacco products were examined at Wave 1 among adults with no chronic health condition (n = 18,026), those with risk factors for heart disease (n = 4593), and those who reported ever having had an MI (n = 643). Changes in perceived risk of tobacco and use between the two waves and having an MI in the last 12 months (n = 240) were also examined. Those who reported lifetime MI were more likely to believe that smoking/using tobacco was causing/worsening a health problem. Having had a recent MI event increased perceived tobacco-related risk and attempts at reduction/quitting, but did not significantly impact combusted tobacco cessation/reduction or uptake of non-combusted tobacco products. Sociodemographic characteristics and use of other tobacco products were associated with change in use of tobacco products. Those who have an MI are sensitized to the harm of continued smoking. Nonetheless, having an MI does not predict quitting combusted tobacco use or switching to potentially reduced harm products. Intense intervention is necessary to reduce combusted use in this high-risk population.
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Affiliation(s)
- Diann E Gaalema
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Departments of Psychiatry, University of Vermont, Burlington, VT, USA; Psychological Science, University of Vermont, Burlington, VT, USA.
| | - Irene Pericot-Valverde
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Departments of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Janice Y Bunn
- Medical Biostatistics, University of Vermont, Burlington, VT, USA
| | - Andrea C Villanti
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Departments of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Antonio Cepeda-Benito
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Psychological Science, University of Vermont, Burlington, VT, USA
| | - Nathan J Doogan
- Center of Excellence in Regulatory Tobacco Science, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Diana R Keith
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Departments of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Allison N Kurti
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Departments of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Alexa A Lopez
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA
| | - Tyler Nighbor
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Departments of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Maria A Parker
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Departments of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Amanda J Quisenberry
- Center of Excellence in Regulatory Tobacco Science, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Ryan Redner
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Rehabilitation Institute, Southern Illinois University, Carbondale, IL, USA
| | - Megan E Roberts
- Center of Excellence in Regulatory Tobacco Science, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Cassandra A Stanton
- Westat, Center for Evaluation and Coordination of Training and Research (CECTR) in Tobacco Regulatory Science, Department of Oncology, Georgetown University Medical Center, Washington, DC, USA
| | - Philip A Ades
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Division of Cardiology, University of Vermont College of Medicine, Burlington, VT, USA
| | - Stephen T Higgins
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, USA; Departments of Psychiatry, University of Vermont, Burlington, VT, USA; Psychological Science, University of Vermont, Burlington, VT, USA
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218
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Pereira A, Mendonca MI, Borges S, Sousa AC, Freitas S, Henriques E, Rodrigues M, Freitas AI, Guerra G, Freitas C, Pereira D, Brehm A, Reis RPD. Additional value of a combined genetic risk score to standard cardiovascular stratification. Genet Mol Biol 2018; 41:766-774. [PMID: 30571812 PMCID: PMC6415604 DOI: 10.1590/1678-4685-gmb-2017-0173] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Accepted: 01/29/2018] [Indexed: 01/01/2023] Open
Abstract
The utility of genetic risk scores (GRS) as independent risk predictors remains
inconclusive. Here, we evaluate the additive value of a multi-locus GRS to the
Framingham risk score (FRS) in coronary artery disease (CAD) risk prediction. A
total of 2888 individuals (1566 coronary patients and 1322 controls) were
divided into three subgroups according to FRS. Multiplicative GRS was determined
for 32 genetic variants associated to CAD. Logistic Regression and Area Under
the Curve (AUC) were determined first, using the TRF for each FRS subgroup, and
secondly, adding GRS. Different models (TRF, TRF+GRS) were used to classify the
subjects into risk categories for the FRS 10-year predicted risk. The
improvement offered by GRS was expressed as Net Reclassification Index and
Integrated Discrimination Improvement. Multivariate analysis showed that GRS was
an independent predictor for CAD (OR = 1.87; p<0.0001).
Diabetes, arterial hypertension, dyslipidemia and smoking status were also
independent CAD predictors (p<0.05). GRS added predictive
value to TRF across all risk subgroups. NRI showed a significant improvement in
all categories. In conclusion, GRS provided a better incremental value in
intermediate subgroup. In this subgroup, inclusion of genotyping may be
considered to better stratify cardiovascular risk.
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Affiliation(s)
- Andreia Pereira
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal, Portugal.,Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa-Portugal
| | | | - Sofia Borges
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal, Portugal
| | - Ana Célia Sousa
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal, Portugal.,Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa-Portugal
| | - Sónia Freitas
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal, Portugal
| | - Eva Henriques
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal, Portugal
| | - Mariana Rodrigues
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal, Portugal
| | - Ana Isabel Freitas
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal, Portugal.,Laboratório de Genética Humana, Universidade da Madeira, Campus Universitário da Penteada, Madeira, Portugal
| | - Graça Guerra
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal, Portugal.,Laboratório de Genética Humana, Universidade da Madeira, Campus Universitário da Penteada, Madeira, Portugal
| | - Carolina Freitas
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal, Portugal
| | - Décio Pereira
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal, Portugal
| | - António Brehm
- Laboratório de Genética Humana, Universidade da Madeira, Campus Universitário da Penteada, Madeira, Portugal
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219
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Feodoroff M, Harjutsalo V, Forsblom C, Groop PH. Dose-dependent effect of smoking on risk of coronary heart disease, heart failure and stroke in individuals with type 1 diabetes. Diabetologia 2018; 61:2580-2589. [PMID: 30229273 DOI: 10.1007/s00125-018-4725-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Accepted: 08/02/2018] [Indexed: 11/26/2022]
Abstract
AIMS/HYPOTHESIS The aim of this study was to assess the potential dose-dependent effects of smoking on the risk of CHD, heart failure and stroke in individuals with type 1 diabetes. METHODS The study included 4506 individuals with type 1 diabetes who were participating in the Finnish Diabetic Nephropathy (FinnDiane) study. Intensity of smoking was estimated by packs per day and cumulative smoking by pack-years. Cox regression analyses were used to estimate the risk of incident CHD, heart failure or stroke during follow-up. RESULTS One pack per day significantly increased the risk of incident CHD in current smokers compared with never smokers (HR 1.45 [95% CI 1.15, 1.84]), after adjustment for age, sex, HbA1c, hypertension, duration of diabetes and BMI. The risk of CHD in former smokers was similar to the risk in never smokers. The risk of incident heart failure was 1.43 (95% CI 1.03, 1.97) in current smokers per one pack per day and 1.37 (95% CI 1.05, 1.77) in former smokers, while the risk of incident stroke was 1.70 (95% CI 1.26, 2.29) and 1.49 (95% CI 1.14, 1.93), respectively. After further adjustments for lipids, however, the difference in the risk of heart failure in current and former smokers was no longer significant. Cumulative smoking data were similar to smoking intensity data. CONCLUSIONS/INTERPRETATION There is a dose-dependent association between smoking and cardiovascular disease in individuals with type 1 diabetes. In men in particular, the risk of incident stroke remains high even after smoking cessation and is increased in current and former smokers independently of other risk factors.
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Affiliation(s)
- Maija Feodoroff
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, University of Helsinki, Haartmaninkatu 8, P.O. Box 63, FIN-00014, Helsinki, Finland
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Valma Harjutsalo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, University of Helsinki, Haartmaninkatu 8, P.O. Box 63, FIN-00014, Helsinki, Finland
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, The Chronic Disease Prevention Unit, Helsinki, Finland
| | - Carol Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, University of Helsinki, Haartmaninkatu 8, P.O. Box 63, FIN-00014, Helsinki, Finland
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, University of Helsinki, Haartmaninkatu 8, P.O. Box 63, FIN-00014, Helsinki, Finland.
- Abdominal Center Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland.
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia.
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220
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Singh JA, Guyatt G, Ogdie A, Gladman DD, Deal C, Deodhar A, Dubreuil M, Dunham J, Husni ME, Kenny S, Kwan-Morley J, Lin J, Marchetta P, Mease PJ, Merola JF, Miner J, Ritchlin CT, Siaton B, Smith BJ, Van Voorhees AS, Jonsson AH, Shah AA, Sullivan N, Turgunbaev M, Coates LC, Gottlieb A, Magrey M, Nowell WB, Orbai AM, Reddy SM, Scher JU, Siegel E, Siegel M, Walsh JA, Turner AS, Reston J. Special Article: 2018 American College of Rheumatology/National Psoriasis Foundation Guideline for the Treatment of Psoriatic Arthritis. Arthritis Rheumatol 2018; 71:5-32. [PMID: 30499246 DOI: 10.1002/art.40726] [Citation(s) in RCA: 288] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 09/11/2018] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To develop an evidence-based guideline for the pharmacologic and nonpharmacologic treatment of psoriatic arthritis (PsA), as a collaboration between the American College of Rheumatology (ACR) and the National Psoriasis Foundation (NPF). METHODS We identified critical outcomes in PsA and clinically relevant PICO (population/intervention/comparator/outcomes) questions. A Literature Review Team performed a systematic literature review to summarize evidence supporting the benefits and harms of available pharmacologic and nonpharmacologic therapies for PsA. GRADE (Grading of Recommendations Assessment, Development and Evaluation) methodology was used to rate the quality of the evidence. A voting panel, including rheumatologists, dermatologists, other health professionals, and patients, achieved consensus on the direction and the strength of the recommendations. RESULTS The guideline covers the management of active PsA in patients who are treatment-naive and those who continue to have active PsA despite treatment, and addresses the use of oral small molecules, tumor necrosis factor inhibitors, interleukin-12/23 inhibitors (IL-12/23i), IL-17 inhibitors, CTLA4-Ig (abatacept), and a JAK inhibitor (tofacitinib). We also developed recommendations for psoriatic spondylitis, predominant enthesitis, and treatment in the presence of concomitant inflammatory bowel disease, diabetes, or serious infections. We formulated recommendations for a treat-to-target strategy, vaccinations, and nonpharmacologic therapies. Six percent of the recommendations were strong and 94% conditional, indicating the importance of active discussion between the health care provider and the patient to choose the optimal treatment. CONCLUSION The 2018 ACR/NPF PsA guideline serves as a tool for health care providers and patients in the selection of appropriate therapy in common clinical scenarios. Best treatment decisions consider each individual patient situation. The guideline is not meant to be proscriptive and should not be used to limit treatment options for patients with PsA.
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Affiliation(s)
- Jasvinder A Singh
- University of Alabama at Birmingham and Birmingham Veterans Affairs Medical Center, Birmingham, Alabama
| | | | | | - Dafna D Gladman
- University of Toronto and Toronto Western Hospital, Toronto, Ontario, Canada
| | | | | | | | | | | | | | | | - Janice Lin
- Stanford University, Stanford, California
| | | | - Philip J Mease
- Swedish-Providence Health Systems and University of Washington, Seattle, Washington
| | - Joseph F Merola
- Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Julie Miner
- Comprehensive Therapy Consultants and Therapy Steps, Roswell, Georgia
| | | | | | - Benjamin J Smith
- Florida State University College of Medicine School of Physician Assistant Practice, Tallahassee
| | | | - Anna Helena Jonsson
- Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | | | | | | | | | - Alice Gottlieb
- New York Medical College at Metropolitan Hospital, New York, New York
| | | | | | | | - Soumya M Reddy
- New York University School of Medicine, New York, New York
| | - Jose U Scher
- New York University School of Medicine, New York, New York
| | - Evan Siegel
- Arthritis & Rheumatism Associates, Rockville, Maryland
| | | | - Jessica A Walsh
- University of Utah and George E. Wahlen VeteranS Affairs Medical Center, Salt Lake City, Utah
| | - Amy S Turner
- American College of Rheumatology, Atlanta, Georgia
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Singh JA, Guyatt G, Ogdie A, Gladman DD, Deal C, Deodhar A, Dubreuil M, Dunham J, Husni ME, Kenny S, Kwan-Morley J, Lin J, Marchetta P, Mease PJ, Merola JF, Miner J, Ritchlin CT, Siaton B, Smith BJ, Van Voorhees AS, Jonsson AH, Shah AA, Sullivan N, Turgunbaev M, Coates LC, Gottlieb A, Magrey M, Nowell WB, Orbai AM, Reddy SM, Scher JU, Siegel E, Siegel M, Walsh JA, Turner AS, Reston J. Special Article: 2018 American College of Rheumatology/National Psoriasis Foundation Guideline for the Treatment of Psoriatic Arthritis. Arthritis Care Res (Hoboken) 2018; 71:2-29. [PMID: 30499259 DOI: 10.1002/acr.23789] [Citation(s) in RCA: 168] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 09/11/2018] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To develop an evidence-based guideline for the pharmacologic and nonpharmacologic treatment of psoriatic arthritis (PsA), as a collaboration between the American College of Rheumatology (ACR) and the National Psoriasis Foundation (NPF). METHODS We identified critical outcomes in PsA and clinically relevant PICO (population/intervention/comparator/outcomes) questions. A Literature Review Team performed a systematic literature review to summarize evidence supporting the benefits and harms of available pharmacologic and nonpharmacologic therapies for PsA. GRADE (Grading of Recommendations Assessment, Development and Evaluation) methodology was used to rate the quality of the evidence. A voting panel, including rheumatologists, dermatologists, other health professionals, and patients, achieved consensus on the direction and the strength of the recommendations. RESULTS The guideline covers the management of active PsA in patients who are treatment-naive and those who continue to have active PsA despite treatment, and addresses the use of oral small molecules, tumor necrosis factor inhibitors, interleukin-12/23 inhibitors (IL-12/23i), IL-17 inhibitors, CTLA4-Ig (abatacept), and a JAK inhibitor (tofacitinib). We also developed recommendations for psoriatic spondylitis, predominant enthesitis, and treatment in the presence of concomitant inflammatory bowel disease, diabetes, or serious infections. We formulated recommendations for a treat-to-target strategy, vaccinations, and nonpharmacologic therapies. Six percent of the recommendations were strong and 94% conditional, indicating the importance of active discussion between the health care provider and the patient to choose the optimal treatment. CONCLUSION The 2018 ACR/NPF PsA guideline serves as a tool for health care providers and patients in the selection of appropriate therapy in common clinical scenarios. Best treatment decisions consider each individual patient situation. The guideline is not meant to be proscriptive and should not be used to limit treatment options for patients with PsA.
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Affiliation(s)
- Jasvinder A Singh
- University of Alabama at Birmingham and Birmingham Veterans Affairs Medical Center, Birmingham, Alabama
| | | | | | - Dafna D Gladman
- University of Toronto and Toronto Western Hospital, Toronto, Ontario, Canada
| | | | | | | | | | | | | | | | - Janice Lin
- Stanford University, Stanford, California
| | | | - Philip J Mease
- Swedish-Providence Health Systems and University of Washington, Seattle, Washington
| | - Joseph F Merola
- Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Julie Miner
- Comprehensive Therapy Consultants and Therapy Steps, Roswell, Georgia
| | | | | | - Benjamin J Smith
- Florida State University College of Medicine School of Physician Assistant Practice, Tallahassee
| | | | - Anna Helena Jonsson
- Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | | | | | | | | | - Alice Gottlieb
- New York Medical College at Metropolitan Hospital, New York, New York
| | | | | | | | - Soumya M Reddy
- New York University School of Medicine, New York, New York
| | - Jose U Scher
- New York University School of Medicine, New York, New York
| | - Evan Siegel
- Arthritis & Rheumatism Associates, Rockville, Maryland
| | | | - Jessica A Walsh
- University of Utah and George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah
| | - Amy S Turner
- American College of Rheumatology, Atlanta, Georgia
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222
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Hou B, Nazroo J, Banks J, Marshall A. Migration Status and Smoking Behaviors in Later-Life in China-Evidence From the China Health and Retirement Longitudinal Study (CHARLS). Front Public Health 2018; 6:346. [PMID: 30533409 PMCID: PMC6266545 DOI: 10.3389/fpubh.2018.00346] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 11/07/2018] [Indexed: 11/13/2022] Open
Abstract
Background: China is the biggest consumer of tobacco in the world, with a high prevalence of smoking especially among men. Along with the rapid demographic change in China, the burden of diseases attributable to health behaviors, particularly smoking is steadily increasing. So, smoking has become a major risk factor for mortality in China. Smoking behaviors may be related to migration processes, as a result of both who migrates and post-migration experiences related to socioeconomic position, stress and acculturation. Existing studies that have examined smoking and migration in China have, however, only focused on temporary rural-to-urban migrants and focused on relatively younger migrants. This paper examines the association between smoking behaviors and a comprehensive assessment of migration status in later-life in China. Methods: Using the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative dataset, this paper studies smoking behaviors of rural-to-urban migrants, urban-to-urban migrants, rural return migrants, and urban return migrants. We compare them with corresponding non-migrant groups in both rural and urban locations in China. Using a model that controls for demographic factors, early-life circumstances, socioeconomic factors, and factors related to migration, we examine both the decision to start smoking and the decision to quit smoking. In addition, we also address pre-migration selection in our analyses. Results: The results show rural-to-urban migrants are no more likely to start smoking compared with rural non-migrants, but they are more likely to quit smoking. While urban-to-urban migrants are more likely to start smoking compared with urban non-migrants, this effect is explained by the factors we include in the full model. Urban-to-urban migrants are, however, less likely to quit smoking. Moreover, both rural return migrants and urban return migrants seem to be more likely to start smoking and less likely to quit smoking compared with non-migrant groups. Conclusion: There are strong associations between migration status and later-life smoking behaviors in China; these associations vary greatly according to different migration status and point to populations and factors that public health activities should focus on.
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Affiliation(s)
- Bo Hou
- National School of Development, Peking University, Beijing, China
| | - James Nazroo
- Sociology, School of Social Sciences, The University of Manchester, Manchester, United Kingdom.,Manchester Institute for Collaborative Research on Ageing, School of Social Sciences, The University of Manchester, Manchester, United Kingdom.,Cathie Marsh Institute for Social Research, School of Social Sciences, The University of Manchester, Manchester, United Kingdom
| | - James Banks
- Economics, School of Social Sciences, The University of Manchester, Manchester, United Kingdom.,The Institute for Fiscal Studies, London, United Kingdom
| | - Alan Marshall
- School of Social and Political Science, University of Edinburgh, Edinburgh, United Kingdom
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223
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Peiffer G, Underner M, Perriot J. [COPD and smoking cessation: Patients' expectations and responses of health professionals]. REVUE DE PNEUMOLOGIE CLINIQUE 2018; 74:375-390. [PMID: 30455124 DOI: 10.1016/j.pneumo.2018.10.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The importance of smoking cessation in the management of COPD is well-established: the benefit of quitting smoking as regards morbidity and mortality outcomes in patients, is unquestioned. The smoking cessation in COPD patients is difficult: high levels of consumption, the duration of smoking, high dependence level, psychological co-morbidities such as anxiety and depression, lower socio-economic and intellectual level, constitute barriers. Studies have shown that patients often minimize the risks of smoking, that others do not believe in the benefits of quitting or doubt their ability to quit smoking. The patients' experience, and expectations with regard to smoking cessation are incompletely satisfied: are considered, the smoking characteristics of these patients, the understanding of the tobacco dependence, the beliefs and ideas of smokers, the knowledge of smoking cessation methods, the role of validated aids and alternative treatments, failure management. The answers of the health professionals can be in several directions: establishment of a better communication patient-doctor (empathy), more centered on the needs of the smoker, the role of the motivation and the place of the motivational interview, the understanding of the mechanisms of addiction, a better individualisation of therapeutics, the necessity of a extended follow-up, the contribution of modern technologies, the electronic cigarette, the smoking cessation in respiratory rehabilitation, guidelines that address smoking cessation treatment.
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Affiliation(s)
- G Peiffer
- Service de pneumologie, hôpital de Mercy, CHR Metz-Thionville, 57038 Metz, France.
| | - M Underner
- Centre hospitalier Henri Laborit, unité de recherche clinique, 86000 Poitiers, France
| | - J Perriot
- Dispensaire Emile Roux - CLAT 63, 11, rue Vaucanson, 63100 Clermont-Ferrand, France
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224
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Rowlands AV, Mirkes EM, Yates T, Clemes S, Davies M, Khunti K, Edwardson CL. Accelerometer-assessed Physical Activity in Epidemiology: Are Monitors Equivalent? Med Sci Sports Exerc 2018; 50:257-265. [PMID: 28976493 DOI: 10.1249/mss.0000000000001435] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE Accelerometers are increasingly being used to assess physical activity in large-scale surveys. Establishing whether key physical activity outcomes can be considered equivalent between three widely used accelerometer brands would be a significant step toward capitalizing on the increasing availability of accelerometry data for epidemiological research. METHODS Twenty participants wore a GENEActiv, an Axivity AX3, and an ActiGraph GT9X on their nondominant wrist and were observed for 2 h in a simulated living space. Participants undertook a series of seated and upright light/active behaviors at their own pace. All accelerometer data were processed identically using open-source software (GGIR) to generate physical activity outcomes (including average dynamic acceleration (ACC) and time within intensity cut points). Data were analyzed using pairwise 95% equivalence tests (±10% equivalence zone), intraclass correlation coefficients (ICC) and limits of agreement. RESULTS The GENEActiv and Axivity could be considered equivalent for ACC (ICC = 0.95, 95% confidence interval (CI), 0.87-0.98), but ACC measured by the ActiGraph was approximately 10% lower (GENEActiv/ActiGraph: ICC = 0.86; 95% CI, 0.56-0.95; Axivity/ActiGraph: ICC = 0.82; 95% CI, 0.50-0.94). For time spent within intensity cut points, all three accelerometers could be considered equivalent to each other for more than 85% of outcomes (ICC ≥0.69, lower 95% CI ≥0.36), with the GENEActiv and Axivity equivalent for 100% of outcomes (ICC ≥0.95, lower 95% CI ≥0.86). CONCLUSIONS GENEActiv and Axivity data processed in GGIR are largely equivalent. If GENEActiv or Axivity is compared with the ActiGraph, time spent within intensity cut points has good agreement. These findings can be used to inform selection of appropriate outcomes if outputs from these accelerometer brands are compared.
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Affiliation(s)
- Alex V Rowlands
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM.,Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM.,Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM
| | - Evgeny M Mirkes
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM
| | - Tom Yates
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM.,Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM
| | - Stacey Clemes
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM
| | - Melanie Davies
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM.,Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM.,Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM.,Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM
| | - Charlotte L Edwardson
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM.,Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UNITED KINGDOM
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Abstract
As the population ages, more adults in the United States are living with dementia. Younger family members often are concerned that they too may develop dementia, but the general public is largely unaware that strategies exist to slow or delay onset of dementia. In fact, by implementing a number of healthful strategies throughout their lifespans, patients may be able to reduce the likelihood of developing dementia or at least delay its onset. These strategies include eating a high-quality diet; keeping physically, socially, and intellectually active; preventing or treating hearing loss; avoiding obesity, hypertension, and diabetes; and avoiding or stopping tobacco smoking. This article reviews the recent scientific literature for dementia risk-reduction strategies and offers suggestions to healthcare professionals who wish to help their patients stave off cognitive loss.
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226
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Kvasnicka M, Siedler T, Ziebarth NR. The health effects of smoking bans: Evidence from German hospitalization data. HEALTH ECONOMICS 2018; 27:1738-1753. [PMID: 30022556 DOI: 10.1002/hec.3798] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Revised: 02/22/2018] [Accepted: 06/13/2018] [Indexed: 06/08/2023]
Abstract
This paper studies the short-term impact of public smoking bans on hospitalizations in Germany. It exploits the staggered implementation of smoking bans over time and across the 16 federal states along with the universe of hospitalizations from 2000 to 2008 and daily county-level weather and pollution data. Smoking bans in bars and restaurants have been effective in preventing 1.9 hospital admissions (-2.1%) due to cardiovascular diseases per day, per 1 million population. We also find a decrease by 0.5 admissions (-6.5%) due to asthma per day, per 1 million population. The health prevention effects are more pronounced on sunny days and days with higher ambient pollution levels.
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Affiliation(s)
- Michael Kvasnicka
- Faculty of Economics and Management, Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany
- RWI, Essen, Germany
- IZA, Bonn, Germany
| | - Thomas Siedler
- IZA, Bonn, Germany
- Faculty of Economics and Social Sciences, Universität Hamburg, Hamburg, Germany
- DIW, Berlin, Germany
| | - Nicolas R Ziebarth
- IZA, Bonn, Germany
- Policy Analysis and Management (PAM), Cornell University, Ithaca, New York
- DIW, Berlin, Germany
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227
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Brinker TJ, Buslaff F, Haney C, Gaim B, Haney AC, Schmidt SM, Silchmüller MP, Taha L, Jakob L, Baumert HM, Hallmann M, Heckl M, Alfitian J, Brieske CM, Divizieva EP, Wilhelm J, Hillebrand G, Penka D, Raveendranathan S, Suhre JL. [The global medical network Education Against Tobacco-voluntary tobacco prevention made in Germany]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2018; 61:1453-1461. [PMID: 30284623 DOI: 10.1007/s00103-018-2826-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Smoking is the leading preventable cause of premature death in Germany. The network "Education Against Tobacco" (EAT) is an initiative that was founded in Germany in 2012, in which more than 3500 medical students and physicians engage in volunteer work in about 80 medical faculties in 14 countries. In this article, the concept, activities, objectives and associated research studies oft he EAT initiative are introduced.On the school level, the initiative addresses 10- to 15-year-old secondary school students. In addition to a multimodal approach, school visits use modern media such as facemorphing apps, which are not only used by students (45,000 per year in 14 countries), but by a total of over 500,000 other people as well. The effectiveness of the school-based intervention is currently being investigated in randomised long-term studies with 20,000 adolescents in Germany. A first long-term study demonstrated evidence of a protective effect regarding the onset of smoking, especially among female students, students having a low level of education and students with a migratory background.The programme educates several hundred prospective physicians at 13 (of 28 participating) German medical faculties each year in science-based elective courses for the well-established smoking cessation counselling of patients and sensitises them to the tobacco epidemic. The approved members engage in dialogue with local members of the German house of representatives as "Ärzteverband Tabakprävention".EAT motivates the prospective generation of physicians, initially through prevention in school settings, to face the challenge of national tobacco control at the university and federal level.
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Affiliation(s)
- Titus Josef Brinker
- Abteilung für Translationale Onkologie, Nationales Centrum für Tumorerkrankungen (NCT), Deutsches Krebsforschungszentrum (DKFZ), Im Neuenheimer Feld 460, 69120, Heidelberg, Deutschland.
- Klinik für Dermatologie, Universitätsklinikum Heidelberg, Heidelberg, Deutschland.
| | - Fabian Buslaff
- Universitätsklinikum Erlangen, Universität Erlangen, Erlangen, Deutschland
| | - Caelán Haney
- Universitätsklinikum Heidelberg, Universität Heidelberg, Heidelberg, Deutschland
| | - Benedikt Gaim
- Universitätsklinikum Regensburg, Universität Regensburg, Regensburg, Deutschland
| | - Ailís Ceara Haney
- Universitätsklinikum Heidelberg, Universität Heidelberg, Heidelberg, Deutschland
| | | | | | - Lava Taha
- Universitätsklinikum Erlangen, Universität Erlangen, Erlangen, Deutschland
| | - Lena Jakob
- Universitätsklinikum Freiburg, Universität Freiburg, Freiburg, Deutschland
| | | | - Marvin Hallmann
- Medizinische Hochschule Hannover, Universität Hannover, Hannover, Deutschland
| | - Marlene Heckl
- Universitätsklinikum München, Universität München, München, Deutschland
| | - Jonas Alfitian
- Universitätsklinikum Köln, Universität Köln, Köln, Deutschland
| | | | | | - Jilada Wilhelm
- Universitätsklinikum Düsseldorf, Universität Düsseldorf, Düsseldorf, Deutschland
| | - Gabriel Hillebrand
- Universitätsklinikum Heidelberg, Universität Heidelberg, Heidelberg, Deutschland
| | - Dominik Penka
- Universitätsklinikum Gießen, Universität Gießen, Gießen, Deutschland
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228
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Gan Y, Wu J, Li L, Zhang S, Yang T, Tan S, Mkandawire N, Zhong Y, Jiang J, Wang Z, Lu Z. Association of smoking with risk of stroke in middle-aged and older Chinese: Evidence from the China National Stroke Prevention Project. Medicine (Baltimore) 2018; 97:e13260. [PMID: 30461631 PMCID: PMC6392934 DOI: 10.1097/md.0000000000013260] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Although the impacts of smoking on health are well established, it is unclear on how they affect the Chinese population aged ≥40 years. This study aimed to investigate the association between smoking and risk of stroke in middle-aged and older Chinese adults, based on the data from the China National Stroke Prevention Project.A community-based cross-sectional study with 12,704 (5681 men, 7023 women) Chinese adults aged ≥40 years was conducted to examine the association of smoking with stroke. Multivariable logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs).Among the study population, a total of 524 stroke survivors were identified. The age-adjusted prevalence of stroke was 4.06% for both sexes, 2.95% for women, and 5.38% for men. The multivariate-adjusted ORs (95% CI) of stroke associated with current cigarette smoking and former cigarette smoking were 1.67 (1.24-2.25) and 1.93 (1.29-2.87), respectively. Compared with those who were never-smokers, the multivariate-adjusted OR of stroke (95% CI) were 1.48 (0.96 to -2.29), 1.75 (1.20-2.56), and 2.37 (1.20 to -4.68) for those who smoked 1 to 10, 11 to 20, and ≥21 cigarettes per day; and 0.51 (0.19 to -1.42), 1.90 (1.36 to -2.67), and 2.01 (1.17 to -3.46) for those who smoked 1 to 19, 20 to 39, and ≥40 years, respectively (both P < .001 for linear trends). Among former smokers, the multivariable-adjusted ORs of stroke by duration of smoking cessation (compared with never smokers) for <5, 5 to 19, and ≥20 years were 3.47 (1.42-8.49), 3.37 (1.95-5.80), and 0.95 (0.49-1.84), respectively (P = .009 for linear trend). The increased odds of stroke with smoking were more evident among participants who were men, >60 years old, or without family history of stroke than their counterparts.This study suggests the increased odds of stroke in current cigarette smokers with a graded increase in prevalent risk that depended on how many cigarettes and how many years were smoked. Moreover, quitting smoking appears to decrease this excess risk substantially.
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Affiliation(s)
- Yong Gan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jiang Wu
- Bao’an Central Hospital of Shenzhen, Guangdong
| | - Liqing Li
- Department of Management Science and Engineering, School of Economics and Management, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi
| | | | - Tingting Yang
- Department of Nutrition, Henan Provincial People's Hospital, Zhengzhou, Henan
| | - Shuran Tan
- The First Clinical School, Tongji Medical College, Huazhong University of Science and Technology
| | - Naomie Mkandawire
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yanyan Zhong
- Huazhong University of Science and Technology Hospital
| | - Jie Jiang
- Department of Respiratory Medicine, Wuhan Central Hospital, Wuhan, Hubei
| | - Zhihong Wang
- Department of Neurology, Shenzhen Second People's Hospital, Shenzhen University, Shenzhen, Guangdong, China
| | - Zuxun Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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229
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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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Roos ET, Lallukka T, Lahelma E, Rahkonen O. Joint associations between smoking and obesity as determinants of premature mortality among midlife employees. Eur J Public Health 2018; 27:135-139. [PMID: 28177439 DOI: 10.1093/eurpub/ckw111] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Affiliation(s)
- Eira T Roos
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | | | - Eero Lahelma
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Ossi Rahkonen
- Department of Public Health, University of Helsinki, Helsinki, Finland
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Li J, Cui R, Eshak ES, Yamagishi K, Imano H, Muraki I, Hayama-Terada M, Kiyama M, Okada T, Iso H. Association of cigarette smoking with radial augmentation index: the Circulatory Risk in Communities Study (CIRCS). Hypertens Res 2018; 41:1054-1062. [DOI: 10.1038/s41440-018-0106-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 04/29/2018] [Accepted: 05/02/2018] [Indexed: 01/12/2023]
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Ofori-Asenso R, Ilomäki J, Tacey M, Zomer E, Curtis AJ, Bell JS, Zoungas S, Liew D. Predictors of statin use among older adults: A nationwide cross-sectional study. J Clin Lipidol 2018; 13:156-162.e1. [PMID: 30446321 DOI: 10.1016/j.jacl.2018.10.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 09/26/2018] [Accepted: 10/09/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND Statins comprise a key strategy for the prevention and treatment of arteriosclerotic cardiovascular disease, but prescribing remains suboptimal. OBJECTIVES The objective of this study was to characterize the predictors of statin use among adults aged ≥65 years. METHODS A cross-sectional study using Pharmaceutical Benefits Scheme (PBS) data on reimbursed prescriptions for a 10% random sample of the Australian population in 2016 was performed. Predictors of statin use were identified via multivariable logistic regression. Analyses were performed separately for people who were concessional beneficiaries (with a low, capped copayment) and other ("general") people. RESULTS Among 351,471 (concessional = 295,875 and general = 55,596) older adults, 44.2% were dispensed statins (concessional = 46.4% and general = 32.2%). Among the concessional beneficiaries, people aged 75 to 84 years were more likely to use statins (odds ratio [OR] 1.08, 95% confidence interval [CI] 1.06-1.10), whereas those aged ≥85 years were less likely to use statins (OR 0.71, 95% CI 0.69-0.72), compared with people aged 65 to 74 years. Men were more likely to use statins than women (OR 1.14, 95% CI 1.12-1.16). Diabetes was associated with over 2-fold (OR 2.48, 95% CI 2.43-2.53) increased likelihood of statin use. People with cardiovascular-related conditions including hypertension, angina, and congestive heart failure experienced increased likelihood of statin use as was being dispensed anticoagulant or antiplatelet medication. Having malignancy, psychotic illness, or pain were associated with lower likelihood of statin use. Similar predictors of statin use were noted for the general population. CONCLUSION More than 40% of older adults in Australia used statins in 2016 with uptake dependent on individual-level factors such as demographics and comorbidities. Future research should examine the extent to which provider and/or health system-level factors contribute to the variable uptake of statin therapy.
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Affiliation(s)
- Richard Ofori-Asenso
- Department of Epidemiology and Preventive Medicine, Centre of Cardiovascular Research and Education in Therapeutics, Monash University, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Epidemiological Modelling Unit, Monash University, Melbourne, Australia; Division of Metabolism, Ageing and Genomics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jenni Ilomäki
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Mark Tacey
- Department of Epidemiology and Preventive Medicine, Centre of Cardiovascular Research and Education in Therapeutics, Monash University, Melbourne, Australia
| | - Ella Zomer
- Department of Epidemiology and Preventive Medicine, Centre of Cardiovascular Research and Education in Therapeutics, Monash University, Melbourne, Australia
| | - Andrea J Curtis
- Division of Metabolism, Ageing and Genomics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia; School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia
| | - Sophia Zoungas
- Division of Metabolism, Ageing and Genomics, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Danny Liew
- Department of Epidemiology and Preventive Medicine, Centre of Cardiovascular Research and Education in Therapeutics, Monash University, Melbourne, Australia.
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You B, Zhu B, Su X, Liu F, Wang B. Gender Differences among Elderly Patients with Primary Percutaneous Coronary Intervention. Aging Dis 2018; 9:852-860. [PMID: 30271662 PMCID: PMC6147591 DOI: 10.14336/ad.2017.1129] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 11/29/2017] [Indexed: 12/01/2022] Open
Abstract
Several epidemiological and clinical studies have shown that females with ST-segment elevation myocardial infarction (STEMI) have a higher mortality than males following primary percutaneous coronary intervention (PPCI). Many analyses of sex-based differences following STEMI have revealed conflicting results. Currently, more and more elderly patients with STEMI have undergone emergency interventional therapy. From January 2014 to December 2016, a total of 337 elderly patients with STEMI were enrolled in this study from two chest pain centers, and all patients underwent PPCI. Patients were divided into two groups: elderly females (n=117, mean age 73.4±9.6 years) and elderly males (n=220, mean age 71.7±8.6 years). The prevalence of diabetes was higher in females than in males (29.1% vs. 19.6%,P<0. 01). Typical ischemic chest pain was lower in females than in males (45.3% vs 57.3%, P<0.01). The number of nonsmokers was also significantly higher in females than in males (5.1% vs. 52.3%,P<0. 01). Serum creatinine (sCr) levels (87.6±17.4 umol/L vs 99.5±20.2 umol/L,P<0.01) and body mass index (23.8±2.7 vs 27.3±3.1, P<0.01) were lower in females than in males. The incidences of major adverse cardiac events (MACE) in-hospital showed no significantly difference (P>0.05) between the two groups. However, the cumulative MACE showed a significant difference between the two groups in the 12-month follow-up (16.8% in male vs 12.8% in female, P = 0.04). Our results suggest that the PPCI is safe and effective in elderly female STEMI patients. The cumulative MACE in females are not higher than in males. PPCI are helpful in elderly STEMI patients.
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Affiliation(s)
- Binquan You
- Departments of Cardiology, Suzhou Kowloon Hospital, School of Medicine Shanghai Jiaotong University, Suzhou, 215000, China
| | - Bingbing Zhu
- Departments of Cardiology, Suzhou Kowloon Hospital, School of Medicine Shanghai Jiaotong University, Suzhou, 215000, China
| | - Xi Su
- Department of Cardiology, Wuhan Asia Heart Hospital, Wuhan, 430000, China
| | - Feng Liu
- Departments of Cardiology, Suzhou Kowloon Hospital, School of Medicine Shanghai Jiaotong University, Suzhou, 215000, China
| | - Bingyin Wang
- Departments of Cardiology, Suzhou Kowloon Hospital, School of Medicine Shanghai Jiaotong University, Suzhou, 215000, China
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234
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Wang W, Shen C, Zhao H, Tang W, Yang S, Li J, Ren Z, Zhao Y. A prospective study of the hypertriglyceridemic waist phenotype and risk of incident ischemic stroke in a Chinese rural population. Acta Neurol Scand 2018; 138:156-162. [PMID: 29574685 DOI: 10.1111/ane.12925] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/21/2018] [Indexed: 12/28/2022]
Abstract
OBJECTIVES The hypertriglyceridemic waist phenotype has been reported as a practical tool to screen people with an increased risk of coronary artery disease and type 2 diabetes. The aim of this study was to investigate the relationship between the phenotype and ischemic stroke in a rural population in south China. MATERIALS AND METHODS A total of 4081 participants aged over 35 years old without a stroke history were surveyed in 2009 and followed up from May 2014 to January 2016. The hypertriglyceridemic waist phenotype was defined as a waist circumference ≥90 cm and a triglyceride level ≥2.0 mmol/L in males, and a waist circumference ≥85 cm and a triglyceride level ≥1.5 mmol/L in females. A Cox regression model was used to estimate the association of the phenotype and ischemic stroke. RESULTS After a mean of 5.16 years of follow-up, 138 individuals developed ischemic stroke. The hypertriglyceridemic waist phenotype was significantly associated with an increased risk of ischemic stroke before and after adjustment for confounding factors; the hazard ratios and 95% confidence intervals were 1.94 (1.27-2.96) and 1.71 (1.05-2.78), respectively. Further stratified analysis confirmed the associations in females (2.37 [1.09-5.14]) and smokers (3.20 [1.30-7.92]). A significant association of the phenotype and ischemic stroke risk was observed in subjects with normal glucose levels (2.94 [1.58-5.47]) but not in subjects with impaired fasting glucose and diabetes. CONCLUSIONS The hypertriglyceridemic waist phenotype is associated with an increased risk of ischemic stroke and might be a simple tool to screen individuals with a high risk for ischemic stroke.
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Affiliation(s)
- W. Wang
- Department of Neurology; Affiliated Yixing Hospital of Jiangsu University; Yixing Jiangsu China
| | - C. Shen
- Department of Epidemiology; School of Public Health; Nanjing Medical University; Nanjing Jiangsu China
- Department of Clinical Epidemiology; Jiangsu Province Geriatrics Institute; Nanjing Jiangsu China
| | - H. Zhao
- Department of Chronic Disease Management; Huaian City Center for Disease Control and Prevention; Huaian Jiangsu China
| | - W. Tang
- Department of Neurology; Affiliated Yixing Hospital of Jiangsu University; Yixing Jiangsu China
| | - S. Yang
- Department of Cardiology; Affiliated Yixing Hospital of Jiangsu University; Yixing Jiangsu China
| | - J. Li
- Department of Neurology; Affiliated Yixing Hospital of Jiangsu University; Yixing Jiangsu China
| | - Z. Ren
- Department of Neurology; Affiliated Yixing Hospital of Jiangsu University; Yixing Jiangsu China
| | - Y. Zhao
- Department of Neurology; Affiliated Yixing Hospital of Jiangsu University; Yixing Jiangsu China
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235
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Chen HY, Li SC, Chen LF, Wang W, Wang Y, Yan XW. The effects of cigarette smoking and smoking cessation on high-density lipoprotein functions: implications for coronary artery disease. Ann Clin Biochem 2018; 56:100-111. [PMID: 29961342 DOI: 10.1177/0004563218788386] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Smoking cessation was associated with improved prognosis of coronary artery disease. This study was designed to investigate the effect of smoking cessation on high-density lipoprotein functionality in coronary artery disease patients. METHODS In this prospective, randomized and parallel controlled study, coronary artery disease smokers ( n = 28) and healthy smokers ( n = 30) were divided into smoking cessation group and continuous smoking group, respectively. Blood samples were collected before and after three-month smoking cessation. Plasma high-density lipoprotein was isolated by density gradient centrifugation. The ability of high-density lipoprotein against copper-induced oxidation of lipoprotein was determined to evaluate the antioxidative property of high-density lipoprotein, and the macrophage migration inhibited by high-density lipoprotein was tested to identify the antichemotactic property of high-density lipoprotein. High-density lipoprotein-induced macrophage cholesterol efflux was measured by fluorescence spectrometry using NBD cholesterol analogue. Healthy non-smoking volunteers were enrolled as the baseline control. RESULTS The baseline antioxidative, antichemotactic ability of high-density lipoprotein and high-density lipoprotein-induced cellular cholesterol efflux in coronary artery disease smokers and healthy smokers were significantly attenuated when compared with those in healthy non-smokers. After three-month smoking cessation, both the antioxidative ability and antichemotactic ability of high-density lipoprotein were improved significantly in coronary artery disease smokers. However, high-density lipoprotein-induced cellular cholesterol efflux was not increased by smoking cessation. In in vitro experiments, carbon monoxide reduced the antioxidative ability and nicotine enhanced the antichemotactic ability of high-density lipoprotein. CONCLUSIONS Smoking cessation is an effective measure to improve high-density lipoprotein functions in coronary artery disease smokers. Our study re-emphasizes the importance of smoking cessation in the secondary prevention of coronary artery disease.
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Affiliation(s)
- Hong-Ying Chen
- Department of Cardiology, Peking Union Medical College Hospital (PUMCH), Beijing, P. R. China
| | - Shi-Cheng Li
- Department of Cardiology, Peking Union Medical College Hospital (PUMCH), Beijing, P. R. China
| | - Lian-Feng Chen
- Department of Cardiology, Peking Union Medical College Hospital (PUMCH), Beijing, P. R. China
| | - Wei Wang
- Department of Cardiology, Peking Union Medical College Hospital (PUMCH), Beijing, P. R. China
| | - Yu Wang
- Department of Cardiology, Peking Union Medical College Hospital (PUMCH), Beijing, P. R. China
| | - Xiao-Wei Yan
- Department of Cardiology, Peking Union Medical College Hospital (PUMCH), Beijing, P. R. China
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Sakboonyarat B, Rangsin R. Prevalence and associated factors of ischemic heart disease (IHD) among patients with diabetes mellitus: a nation-wide, cross-sectional survey. BMC Cardiovasc Disord 2018; 18:151. [PMID: 30053837 PMCID: PMC6062977 DOI: 10.1186/s12872-018-0887-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 07/16/2018] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Ischemic Heart Disease (IHD) is the first ranked among most common causes of death involving cardiovascular and other diseases. The information on the prevalence of IHD in Thailand is lacking especially among patients with diabetes mellitus. The objectives of this study were to determine the prevalence of IHD among patients with diabetes mellitus and to determine factors associated with IHD in a nation-wide survey. METHODS A cross-sectional study to assess national outcomes among patients with diabetes who visited 831 public hospitals in Thailand was conducted in 2013 to evaluate status of care among patients with diabetes aged at least 18 years who received medical treatment in the target hospital for the last 12 months. RESULTS A total of 25,902 patients with diabetes were included in this study. IHD was detected among 918 patients (3.54%; 95%CI 3.32-3.77). Multivariate analysis was conducted to determine which factors were most associated with IHD, and the results showed age (AORs 1.05; 95%CI 1.04-1.05), being male (AORs 1.78; 95%CI 1.53-2.07), hypertensive comorbidity (AORs 2.10; 95%CI 1.68-2.62), being in Health Region 4 (AORs 1.93; 95%CI 1.54-2.35), presenting hyperglycemic crisis (AORs 1.53; 95%CI 1.14-2.06) and insulin therapy (AORs 1.40; 95%CI 1.17-1.66) were the highest associated factors for IHD in this population. CONCLUSION Our data emphasized that IHD was a problem among patients with diabetes. Diabetic patients should be regularly assessed for IHD and their risk factors should be better controlled. Moreover, the Ministry of Public Health managers and clinicians should provide further preventative strategies to attenuate cardiovascular disease.
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Affiliation(s)
- Boonsub Sakboonyarat
- Department of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
| | - Ram Rangsin
- Department of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand
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Li Y, Pan A, Wang DD, Liu X, Dhana K, Franco OH, Kaptoge S, Di Angelantonio E, Stampfer M, Willett WC, Hu FB. Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population. Circulation 2018; 138:345-355. [PMID: 29712712 PMCID: PMC6207481 DOI: 10.1161/circulationaha.117.032047] [Citation(s) in RCA: 419] [Impact Index Per Article: 69.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Accepted: 02/27/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND Americans have a shorter life expectancy compared with residents of almost all other high-income countries. We aim to estimate the impact of lifestyle factors on premature mortality and life expectancy in the US population. METHODS Using data from the Nurses' Health Study (1980-2014; n=78 865) and the Health Professionals Follow-up Study (1986-2014, n=44 354), we defined 5 low-risk lifestyle factors as never smoking, body mass index of 18.5 to 24.9 kg/m2, ≥30 min/d of moderate to vigorous physical activity, moderate alcohol intake, and a high diet quality score (upper 40%), and estimated hazard ratios for the association of total lifestyle score (0-5 scale) with mortality. We used data from the NHANES (National Health and Nutrition Examination Surveys; 2013-2014) to estimate the distribution of the lifestyle score and the US Centers for Disease Control and Prevention WONDER database to derive the age-specific death rates of Americans. We applied the life table method to estimate life expectancy by levels of the lifestyle score. RESULTS During up to 34 years of follow-up, we documented 42 167 deaths. The multivariable-adjusted hazard ratios for mortality in adults with 5 compared with zero low-risk factors were 0.26 (95% confidence interval [CI], 0.22-0.31) for all-cause mortality, 0.35 (95% CI, 0.27-0.45) for cancer mortality, and 0.18 (95% CI, 0.12-0.26) for cardiovascular disease mortality. The population-attributable risk of nonadherence to 5 low-risk factors was 60.7% (95% CI, 53.6-66.7) for all-cause mortality, 51.7% (95% CI, 37.1-62.9) for cancer mortality, and 71.7% (95% CI, 58.1-81.0) for cardiovascular disease mortality. We estimated that the life expectancy at age 50 years was 29.0 years (95% CI, 28.3-29.8) for women and 25.5 years (95% CI, 24.7-26.2) for men who adopted zero low-risk lifestyle factors. In contrast, for those who adopted all 5 low-risk factors, we projected a life expectancy at age 50 years of 43.1 years (95% CI, 41.3-44.9) for women and 37.6 years (95% CI, 35.8-39.4) for men. The projected life expectancy at age 50 years was on average 14.0 years (95% CI, 11.8-16.2) longer among female Americans with 5 low-risk factors compared with those with zero low-risk factors; for men, the difference was 12.2 years (95% CI, 10.1-14.2). CONCLUSIONS Adopting a healthy lifestyle could substantially reduce premature mortality and prolong life expectancy in US adults.
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Affiliation(s)
- Yanping Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dong D. Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xiaoran Liu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Klodian Dhana
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Oscar H. Franco
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Stephen Kaptoge
- Department of Public Health and Primary Care University of Cambridge, United Kingdom
| | - Emanuele Di Angelantonio
- Department of Public Health and Primary Care University of Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, Cambridge, United Kingdom
- National Health Service Blood and Transplant, Cambridge, United Kingdom
| | - Meir Stampfer
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Walter C. Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Frank B. Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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238
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Haig C, Carrick D, Carberry J, Mangion K, Maznyczka A, Wetherall K, McEntegart M, Petrie MC, Eteiba H, Lindsay M, Hood S, Watkins S, Davie A, Mahrous A, Mordi I, Ahmed N, Teng Yue May V, Ford I, Radjenovic A, Welsh P, Sattar N, Oldroyd KG, Berry C. Current Smoking and Prognosis After Acute ST-Segment Elevation Myocardial Infarction: New Pathophysiological Insights. JACC Cardiovasc Imaging 2018; 12:993-1003. [PMID: 30031700 PMCID: PMC6547246 DOI: 10.1016/j.jcmg.2018.05.022] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/15/2018] [Accepted: 05/17/2018] [Indexed: 01/25/2023]
Abstract
Objectives The aim of this study was to mechanistically investigate associations among cigarette smoking, microvascular pathology, and longer term health outcomes in patients with acute ST-segment elevation myocardial infarction (MI). Background The pathophysiology of myocardial reperfusion injury and prognosis in smokers with acute ST-segment elevation MI is incompletely understood. Methods Patients were prospectively enrolled during emergency percutaneous coronary intervention. Microvascular function in the culprit artery was measured invasively. Contrast-enhanced magnetic resonance imaging (1.5-T) was performed 2 days and 6 months post-MI. Infarct size and microvascular obstruction were assessed using late gadolinium enhancement imaging. Myocardial hemorrhage was assessed with T2* mapping. Pre-specified endpoints included: 1) all-cause death or first heart failure hospitalization; and 2) cardiac death, nonfatal MI, or urgent coronary revascularization (major adverse cardiovascular events). Binary logistic regression (odds ratio [OR] with 95% confidence interval [CI]) with smoking status was used. Results In total, 324 patients with ST-segment elevation MI were enrolled (mean age 59 years, 73% men, 60% current smokers). Current smokers were younger (age 55 ± 11 years vs. 65 ± 10 years, p < 0.001), with fewer patients with hypertension (52 ± 27% vs. 53 ± 41%, p = 0.007). Smokers had better TIMI (Thrombolysis In Myocardial Infarction) flow grade (≥2 vs. ≤1, p = 0.024) and ST-segment resolution (none vs. partial vs. complete, p = 0.010) post–percutaneous coronary intervention. On day 1, smokers had higher circulating C-reactive protein, neutrophil, and monocyte levels. Two days post-MI, smoking independently predicted infarct zone hemorrhage (OR: 2.76; 95% CI: 1.42 to 5.37; p = 0.003). After a median follow-up period of 4 years, smoking independently predicted all-cause death or heart failure events (OR: 2.20; 95% CI: 1.07 to 4.54) and major adverse cardiovascular events (OR: 2.79; 95% CI: 2.30 to 5.99). Conclusions Smoking is associated with enhanced inflammation acutely, infarct-zone hemorrhage subsequently, and longer term adverse cardiac outcomes. Inflammation and irreversible myocardial hemorrhage post-MI represent mechanistic drivers for adverse long-term prognosis in smokers. (Detection and Significance of Heart Injury in ST Elevation Myocardial Infarction. [BHF MR-MI]; NCT02072850)
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Affiliation(s)
- Caroline Haig
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - David Carrick
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Jaclyn Carberry
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Kenneth Mangion
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Annette Maznyczka
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Kirsty Wetherall
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - Margaret McEntegart
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Mark C Petrie
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Hany Eteiba
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Mitchell Lindsay
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Stuart Hood
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Stuart Watkins
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Andrew Davie
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Ahmed Mahrous
- West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Ify Mordi
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Nadeem Ahmed
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Vannesa Teng Yue May
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, United Kingdom
| | - Aleksandra Radjenovic
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Paul Welsh
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Naveed Sattar
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Keith G Oldroyd
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom
| | - Colin Berry
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom; West of Scotland Heart and Lung Centre, Golden Jubilee National Hospital, Clydebank, United Kingdom.
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Baker CL, Ding Y, Ferrufino CP, Kowal S, Tan J, Subedi P. A cost-benefit analysis of smoking cessation prescription coverage from a US payer perspective. CLINICOECONOMICS AND OUTCOMES RESEARCH 2018; 10:359-370. [PMID: 30038510 PMCID: PMC6052927 DOI: 10.2147/ceor.s165576] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Introduction Smoking drives substantial direct health care spending, comprising 8.7% ($168 billion) of annual United States aggregated spending. Smoking cessation (SC) prescription use is an effective strategy to improve health outcomes, increase quit rates, and reduce economic burden. However, patient out-of-pocket costs may limit the use. Health care payers play a vital role in driving use through formulary decisions and copayment policies but must consider both the near-term financial investment as well as downstream effects of increased coverage on health care budgets. This study estimates the return on investment (ROI) of providing Affordable Care Act (ACA)-recommended prescription SC coverage. Methods A cost–benefit analysis (CBA) estimates the ROI of providing prescription SC coverage, based on pharmacy costs and savings from smoking-attributable medical expenditures among Medicare, Medicaid, and commercial plan enrollees over 10 years. The CBA incorporated national-level population demographics, smoking prevalence estimates, proportion of smokers attempting to quit, and the utilization of SC products. A five-state Markov chain model simulated patterns of quit attempts, relapse, and cessation assuming two quit attempts per year, no patient cost-sharing, and 25.4% utilization of prescription SC aids. Results include number of quitters, annual pharmacy and smoking-attributable medical costs, and ROI. Results After initial investment in SC treatment, smoking-attributable medical benefits accrue over time, generating a positive ROI by year 4 for commercial (11.3%) and Medicaid (78.4%) plans and by year 3 for Medicare (30.6%). Over 10 years, an average return of $1.18, $2.50, and $3.22 savings per dollar spent on SC prescriptions for commercial, Medicaid, and Medicare plans, respectively, may be realized. Discussion Given the proven efficacy of SC pharmacotherapy, near-term investments in supporting ACA-recommended SC coverage translate into a positive ROI. As smoking is a leading cause of morbidity and mortality, increased access to prescription SC medications may improve health outcomes and reduce smoking-attributable costs to payers over time.
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Affiliation(s)
| | - Yao Ding
- Health Economics & Outcomes Research, Real World Evidence Solutions, IQVIA, Fairfax, VA, USA,
| | - Cheryl P Ferrufino
- Health Economics & Outcomes Research, Real World Evidence Solutions, IQVIA, Fairfax, VA, USA,
| | - Stacey Kowal
- Health Economics & Outcomes Research, Real World Evidence Solutions, IQVIA, Fairfax, VA, USA,
| | | | - Prasun Subedi
- Patient & Health Impact, Pfizer, Inc, New York, NY, USA
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240
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Pereira A, Mendonça MI, Borges S, Freitas S, Henriques E, Rodrigues M, Freitas AI, Sousa AC, Brehm A, Reis RPD. Genetic Risk Analysis of Coronary Artery Disease in a Population-based Study in Portugal, Using a Genetic Risk Score of 31 Variants. Arq Bras Cardiol 2018; 111:50-61. [PMID: 29972410 PMCID: PMC6078363 DOI: 10.5935/abc.20180107] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 02/22/2018] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Genetic risk score can quantify individual's predisposition to coronary artery disease; however, its usefulness as an independent risk predictor remains inconclusive. OBJECTIVE To evaluate the incremental predictive value of a genetic risk score to traditional risk factors associated with coronary disease. METHODS Thirty-three genetic variants previously associated with coronary disease were analyzed in a case-control population with 2,888 individuals. A multiplicative genetic risk score was calculated and then divided into quartiles, with the 1st quartile as the reference class. Coronary risk was determined by logistic regression analysis. Then, a second logistic regression was performed with traditional risk factors and the last quartile of the genetic risk score. Based on this model, two ROC curves were constructed with and without the genetic score and compared by the Delong test. Statistical significance was considered when p values were less than 0.05. RESULTS The last quartile of the multiplicative genetic risk score revealed a significant increase in coronary artery disease risk (OR = 2.588; 95% CI: 2.090-3.204; p < 0.0001). The ROC curve based on traditional risk factors estimated an AUC of 0.72, which increased to 0.74 when the genetic risk score was added, revealing a better fit of the model (p < 0.0001). CONCLUSIONS In conclusion, a multilocus genetic risk score was associated with an increased risk for coronary disease in our population. The usual model of traditional risk factors can be improved by incorporating genetic data.
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Affiliation(s)
- Andreia Pereira
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal
| | | | - Sofia Borges
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal
| | - Sónia Freitas
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal
| | - Eva Henriques
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal
| | - Mariana Rodrigues
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal
| | - Ana Isabel Freitas
- Laboratório de Genética Humana, Universidade da Madeira, Funchal - Portugal
| | - Ana Célia Sousa
- Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal
| | - António Brehm
- Laboratório de Genética Humana, Universidade da Madeira, Funchal - Portugal
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241
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Cho MH, Kim SM, Lee K, Park SM, Chang J, Choi S, Kim K, Koo HY, Jun JH. Factors associated with continued smoking after the diagnosis of type 2 diabetes: a retrospective study in the Korean cohort. BMJ Open 2018; 8:e020160. [PMID: 29961006 PMCID: PMC6042621 DOI: 10.1136/bmjopen-2017-020160] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVE To investigate the factors associated with continued smoking in patients newly diagnosed with type 2 diabetes. DESIGN Retrospective study using the Korean National Health Insurance Service-National Health Screening Cohort (2002-2013) database. PARTICIPANTS Male patients newly diagnosed with type 2 diabetes between 1 January 2004 and 31 December 2011. MEASUREMENT Change in smoking behaviour after the diabetes diagnosis was assessed using a self-reported questionnaire, which was administered before and after the diagnosis. To identify the factors associated with continued smoking after diabetes diagnosis, a multivariate-adjusted logistic regression was conducted using only the variables with statistical significance from the univariate analyses. RESULTS Younger age, lower economic status, heavier smoking habit, lower Charlson Comorbidity Index and comorbid hypertension were identified as factors associated with continued smoking after the diagnosis of type 2 diabetes. Older patients (adjusted OR (aOR) 0.71, 95% CI 0.63 to 0.79) and patients with longer diabetic duration (1-2 years OR 0.88, 95% CI 0.80 to 0.98, ≥3 years OR 0.63, 95% CI 0.55 to 0.73) were more likely to quit smoking. Contrastingly, smokers in the lower economic status (aOR 1.29, 95% CI 1.18 to 1.42) and heavier smoking habit (moderate: aOR 1.53, 95% CI 1.35 to 1.72; heavy: aOR 1.90, 95% CI 1.67 to 2.17) categories were more likely to continue smoking after the diagnosis. CONCLUSIONS It is important to identify the factors associated with smoking behaviour in patients with type 2 diabetes. Recognising the factors that contribute to the vulnerability of patients to continued smoking will be helpful in developing policies and intervention strategies in future. Vulnerable patients may require intensive education and encouragement to quit smoking. We recommend physicians to take a more proactive approach, such as encouraging frequent clinical sessions for behavioural counselling and even early pharmacological interventions, when they encounter patients with the factors outlined in this study.
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Affiliation(s)
- Mi Hee Cho
- Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sung Min Kim
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Kiheon Lee
- Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
- Department of Family Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Sang Min Park
- Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Jooyoung Chang
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Seulggie Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Kyuwoong Kim
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Hye-Yeon Koo
- Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Ji-Hye Jun
- Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
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242
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Guilleminault L, Rolland Y, Didier A. [Characteristics of non-pharmacological interventions in the elderly with COPD. Smoking cessation, pulmonary rehabilitation, nutritional management and patient education]. Rev Mal Respir 2018; 35:626-641. [PMID: 29937313 DOI: 10.1016/j.rmr.2017.12.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 12/16/2017] [Indexed: 01/15/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) is a respiratory disorder responsible for a high mortality and disability. People older than 65 years are more commonly affected than younger people and tend to present with more symptoms and a greater level of disability. Non-pharmacological interventions play an important role in the management of all patients with COPD and this is particularly true in the elderly. Given the improvement in quality of life and risk of hospitalization, smoking cessation should be promoted to patients of all ages. Increased physical activity is associated with reduced respiratory symptoms. Tests such as the "Short Physical Performance Battery" can be useful in frailer older people with COPD, while walking tests such as the 6-minute walk test are used as an assessment before pulmonary rehabilitation. Increased physical activity should be combined with nutritional management. Screening for undernutrition by questionnaire, body mass index and albumin quantification is recommended in the elderly. In case of undernutrition, oral supplementation seems to reduce the risk of re-admission. All these measures must be included in an education program adapted to the elderly comorbidities (hearing loss, isolation…).
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Affiliation(s)
- L Guilleminault
- Airway center, Larrey hospital, CHU de Toulouse, 31059 Toulouse, France; STROMALab, université de Toulouse, CNRS ERL 5311, EFS, INP-ENVT, Inserm, UPS, 31100 Toulouse, France.
| | - Y Rolland
- Gerontopole, CHU de Toulouse, 31059 Toulouse, France; UMR Inserm 1027, université de Toulouse III, 31000 Toulouse, France
| | - A Didier
- Airway center, Larrey hospital, CHU de Toulouse, 31059 Toulouse, France
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243
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Ricci C, Wood A, Muller D, Gunter MJ, Agudo A, Boeing H, van der Schouw YT, Warnakula S, Saieva C, Spijkerman A, Sluijs I, Tjønneland A, Kyrø C, Weiderpass E, Kühn T, Kaaks R, Sánchez MJ, Panico S, Agnoli C, Palli D, Tumino R, Engström G, Melander O, Bonnet F, Boer JMA, Key TJ, Travis RC, Overvad K, Verschuren WMM, Quirós JR, Trichopoulou A, Papatesta EM, Peppa E, Iribas CM, Gavrila D, Forslund AS, Jansson JH, Matullo G, Arriola L, Freisling H, Lassale C, Tzoulaki I, Sharp SJ, Forouhi NG, Langenberg C, Saracci R, Sweeting M, Brennan P, Butterworth AS, Riboli E, Wareham NJ, Danesh J, Ferrari P. Alcohol intake in relation to non-fatal and fatal coronary heart disease and stroke: EPIC-CVD case-cohort study. BMJ 2018; 361:k934. [PMID: 29844013 PMCID: PMC5972779 DOI: 10.1136/bmj.k934] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/17/2018] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To investigate the association between alcohol consumption (at baseline and over lifetime) and non-fatal and fatal coronary heart disease (CHD) and stroke. DESIGN Multicentre case-cohort study. SETTING A study of cardiovascular disease (CVD) determinants within the European Prospective Investigation into Cancer and nutrition cohort (EPIC-CVD) from eight European countries. PARTICIPANTS 32 549 participants without baseline CVD, comprised of incident CVD cases and a subcohort for comparison. MAIN OUTCOME MEASURES Non-fatal and fatal CHD and stroke (including ischaemic and haemorrhagic stroke). RESULTS There were 9307 non-fatal CHD events, 1699 fatal CHD, 5855 non-fatal stroke, and 733 fatal stroke. Baseline alcohol intake was inversely associated with non-fatal CHD, with a hazard ratio of 0.94 (95% confidence interval 0.92 to 0.96) per 12 g/day higher intake. There was a J shaped association between baseline alcohol intake and risk of fatal CHD. The hazard ratios were 0.83 (0.70 to 0.98), 0.65 (0.53 to 0.81), and 0.82 (0.65 to 1.03) for categories 5.0-14.9 g/day, 15.0-29.9 g/day, and 30.0-59.9 g/day of total alcohol intake, respectively, compared with 0.1-4.9 g/day. In contrast, hazard ratios for non-fatal and fatal stroke risk were 1.04 (1.02 to 1.07), and 1.05 (0.98 to 1.13) per 12 g/day increase in baseline alcohol intake, respectively, including broadly similar findings for ischaemic and haemorrhagic stroke. Associations with cardiovascular outcomes were broadly similar with average lifetime alcohol consumption as for baseline alcohol intake, and across the eight countries studied. There was no strong evidence for interactions of alcohol consumption with smoking status on the risk of CVD events. CONCLUSIONS Alcohol intake was inversely associated with non-fatal CHD risk but positively associated with the risk of different stroke subtypes. This highlights the opposing associations of alcohol intake with different CVD types and strengthens the evidence for policies to reduce alcohol consumption.
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Affiliation(s)
- Cristian Ricci
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, World Health Organization, 150 cours Albert Thomas, 69372 Lyon CEDEX 08, France
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, South Africa
| | - Angela Wood
- Medical Research Council, British Heart Foundation, Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - David Muller
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Marc J Gunter
- Nutritional Epidemiology Group, Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Antonio Agudo
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Barcelona, Spain
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Samantha Warnakula
- Medical Research Council, British Heart Foundation, Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Calogero Saieva
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy
| | - Annemieke Spijkerman
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | | | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Genetic Epidemiology Group, Folkhälsan Research Center and Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Maria-Jose Sánchez
- Andaluzian School of Public Health, University of Granada, Granada, Spain
- Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Domenico Palli
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Civic M P Arezzo Hospital, Ragusa, Italy
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | - Jolanda M A Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | | | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Centre for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, University of Athens Medical School, Athens, Greece
| | - Eleni-Maria Papatesta
- WHO Collaborating Centre for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, University of Athens Medical School, Athens, Greece
| | | | - Conchi Moreno Iribas
- Navarre Public Health Institute, Institute for Health Research (IdiSNA), Pamplona, Spain
- Research Network in Health Services in Chronic Diseases (REDISSEC), Pamplona, Spain
| | - Diana Gavrila
- Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Ann-Sofie Forslund
- Department of Public Health and Clinical Medicine, Sunderby Research Unit, Umeå University, Umeå, Sweden
| | - Jan-Håkan Jansson
- Department of Public Health and Clinical Medicine, Skellefteå Research Unit, Department of Medicine, Umeå University, Umeå, Sweden
| | - Giuseppe Matullo
- Department Medical Sciences, University of Torino, Italian Institute for Genomic Medicine -IIGM/HuGeF, Torino, Italy
| | - Larraitz Arriola
- Public Health Division of Gipuzkoa, Instituto BIO-Donostia, Basque Government, Gipuzkoa, Spain
| | - Heinz Freisling
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, World Health Organization, 150 cours Albert Thomas, 69372 Lyon CEDEX 08, France
| | - Camille Lassale
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Ioanna Tzoulaki
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Stephen J Sharp
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Rodolfo Saracci
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, World Health Organization, 150 cours Albert Thomas, 69372 Lyon CEDEX 08, France
| | - Michael Sweeting
- Medical Research Council, British Heart Foundation, Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Paul Brennan
- Genetic Epidemiology Group, Genetics Section, International Agency for Research on Cancer, Lyon, France
| | - Adam S Butterworth
- Medical Research Council, British Heart Foundation, Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Elio Riboli
- Department Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Nick J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - John Danesh
- Medical Research Council, British Heart Foundation, Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Pietro Ferrari
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, World Health Organization, 150 cours Albert Thomas, 69372 Lyon CEDEX 08, France
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244
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Kunutsor SK, Spee JM, Kieneker LM, Gansevoort RT, Dullaart RPF, Voerman AJ, Touw DJ, Bakker SJL. Self-Reported Smoking, Urine Cotinine, and Risk of Cardiovascular Disease: Findings From the PREVEND (Prevention of Renal and Vascular End-Stage Disease) Prospective Cohort Study. J Am Heart Assoc 2018; 7:JAHA.118.008726. [PMID: 29720504 PMCID: PMC6015309 DOI: 10.1161/jaha.118.008726] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND We aimed to compare the associations of smoking exposure as assessed by self-reports and urine cotinine with cardiovascular disease (CVD) risk and determine the potential utility of cotinine for CVD risk prediction. METHODS AND RESULTS Smoking status by self-reports and urine cotinine were assessed at baseline in 4737 participants (mean age, 53 years) of the PREVEND (Prevention of Renal and Vascular End-Stage Disease) prospective study. Participants were classified as never, former, light current (≤10 cigarettes/day), and heavy current smokers (>10 cigarettes/day) according to self-reports and analogous cutoffs for urine cotinine. During a median follow-up of 8.5 years, 296 first CVD events were recorded. Compared with self-reported never smokers, the hazard ratios (95% confidence interval) of CVD for former, light current, and heavy current smokers were 0.86 (0.64-1.17), 1.28 (0.83-1.97), and 1.80 (1.27-2.57) in multivariate analysis. Compared with urine cotinine-assessed never smokers, the corresponding hazard ratios of CVD for urine cotinine-assessed former, light current, and heavy current smokers were 1.70 (1.03-2.81), 1.62 (1.15-2.28), and 1.95 (1.39-2.73) respectively. The C-index change on adding urine cotinine-assessed smoking status to a standard CVD risk prediction model (without self-reported smoking status) was 0.0098 (0.0031-0.0164; P=0.004). The corresponding C-index change for self-reported smoking status was 0.0111 (0.0042-0.0179; P=0.002). CONCLUSIONS Smoking status as assessed by self-reports and urine cotinine is associated with CVD risk; however, the nature of the association of urine cotinine with CVD is consistent with a dose-response relationship. The ability of urine cotinine to improve CVD risk assessment is similar to that of self-reported smoking status.
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Affiliation(s)
- Setor K Kunutsor
- Translational Health Sciences, Bristol Medical School, Southmead Hospital University of Bristol, United Kingdom .,National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust University of Bristol, United Kingdom
| | - Julia M Spee
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Lyanne M Kieneker
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Robin P F Dullaart
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Albert-Jan Voerman
- Department of Pharmacy and Clinical Pharmacology, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Daan J Touw
- Department of Pharmacy and Clinical Pharmacology, University of Groningen and University Medical Center Groningen, The Netherlands
| | - Stephan J L Bakker
- Department of Internal Medicine, University of Groningen and University Medical Center Groningen, The Netherlands.,Top Institute Food and Nutrition, Wageningen, The Netherlands
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245
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Bengtsson T, Nilsson A. Smoking and early retirement due to chronic disability. ECONOMICS AND HUMAN BIOLOGY 2018; 29:31-41. [PMID: 29413586 DOI: 10.1016/j.ehb.2017.12.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 12/05/2017] [Accepted: 12/19/2017] [Indexed: 06/08/2023]
Abstract
This paper considers the long-term effects of smoking on disability retirement in Sweden. Smoking is known to have damaging effects on health, but there is limited evidence on how the effects of smoking translate into worse labour market outcomes, such as the inability to work. In contrast to the few previous studies on smoking and disability retirement, we use a large population sample with registry information on smoking, which is recorded for all women who give birth in Sweden. Thanks to these comprehensive data, we are able to account for a much broader range of potential confounders. In particular, by the use of sibling and twin fixed effects, we account for unobserved heterogeneity in childhood environment and family characteristics. Given that smoking is often initiated in adolescence, one would suspect such factors to play important roles. Among individuals aged 50-64 in 2011, a simple model suggested smokers to have a 5 percentage point higher probability of receiving (full) disability pension, making them more than twice as likely as non-smokers to receive this. However, in a model with sibling fixed effects, the size of the effect was reduced by more than a third. The results point to the importance of confounders, such as childhood circumstances or behaviours, which were not accounted for by previous studies. We also consider effects on disability due to different health conditions. In relative terms, effects are the largest for circulatory conditions and tumours. Results are largely driven by health problems severe enough to merit hospitalization, and there is no evidence of a role played by financial incentives.
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Affiliation(s)
- Tommy Bengtsson
- Centre for Economic Demography, School of Economics and Management, Lund University, P.O. Box 7083, SE-22007 Lund, Sweden; Department of Economic History, School of Economics and Management, Lund University, P.O. Box 7083, SE-22007 Lund, Sweden; IZA, Bonn, Germany; CEPR, Washington, D.C., USA
| | - Anton Nilsson
- Centre for Economic Demography, School of Economics and Management, Lund University, P.O. Box 7083, SE-22007 Lund, Sweden.
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Cho MH, Lee K, Park SM, Chang J, Choi S, Kim K, Koo HY, Jun JH, Kim SM. Effects of smoking habit change on all-cause mortality and cardiovascular diseases among patients with newly diagnosed diabetes in Korea. Sci Rep 2018; 8:5316. [PMID: 29593229 PMCID: PMC5871763 DOI: 10.1038/s41598-018-23729-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 03/19/2018] [Indexed: 01/15/2023] Open
Abstract
This study aimed to investigate the effects of smoking habit change on the risks of all-cause mortality and cardiovascular diseases (CVDs) among patients with newly diagnosed diabetes using the Korean National Sample Cohort data. Survival regression analyses for the risks of all-cause mortality and CVDs were performed. Quitters without body mass index (BMI) change (adjusted hazard ratio [aHR], 0.68; 95% confidence interval [CI], 0.46-1.00) and quitters with BMI loss (aHR, 1.76; 95% CI, 1.13-2.73) showed significantly reduced and substantially the increased risk of all-cause mortality, respectively, compared with sustained smokers. Smoking reduction after diabetes diagnosis may have potential positive effects. However, definite benefits on the health outcomes were not identified in this study. Participants who started smoking after diabetes diagnosis had higher risks of all-cause mortality and CVDs than those who were never smokers or ex-smokers, although not statistically significant. In conclusion, smoking cessation after diabetes diagnosis could reduce the risks of all-cause mortality and cardiovascular events among patients with newly diagnosed diabetes when accompanied by proper weight management. Therefore, physicians should advice patients with newly diagnosed type 2 diabetes on the importance of smoking cessation in combination with long-term weight management to maximize the benefits of smoking cessation.
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Affiliation(s)
- Mi Hee Cho
- Department of Family Medicine, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Kiheon Lee
- Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea.
- Department of Family Medicine, College of Medicine, Seoul National University, Seoul, 03080, Republic of Korea.
| | - Sang Min Park
- Department of Family Medicine, Seoul National University Hospital, Seoul, 03080, Republic of Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, 03080, Republic of Korea
| | - Jooyoung Chang
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, 03080, Republic of Korea
| | - Seulggie Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, 03080, Republic of Korea
| | - Kyuwoong Kim
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, 03080, Republic of Korea
| | - Hye-Yeon Koo
- Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea
| | - Ji-Hye Jun
- Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea
| | - Sung Min Kim
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, 03080, Republic of Korea
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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: 4550] [Impact Index Per Article: 758.3] [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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Zhou Z, Li J, Yu Y, Li Y, Zhang Y, Liu L, Song Y, Zhao M, Wang Y, Tang G, He M, Xu X, Cai Y, Dong Q, Yin D, Huang X, Cheng X, Wang B, Hou FF, Wang X, Qin X, Huo Y. Effect of Smoking and Folate Levels on the Efficacy of Folic Acid Therapy in Prevention of Stroke in Hypertensive Men. Stroke 2018; 49:114-120. [PMID: 29273594 DOI: 10.1161/strokeaha.117.018273] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 10/19/2017] [Accepted: 10/24/2017] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE We aimed to examine whether the efficacy of folic acid therapy in the primary prevention of stroke is jointly affected by smoking status and baseline folate levels in a male population in a post hoc analysis of the CSPPT (China Stroke Primary Prevention Trial). METHODS Eligible participants of the CSPPT were randomly assigned to a double-blind daily treatment of a combined enalapril 10-mg and folic acid 0.8-mg tablet or an enalapril 10-mg tablet alone. In total, 8384 male participants of the CSPPT were included in the current analyses. The primary outcome was first stroke. RESULTS The median treatment duration was 4.5 years. In the enalapril-alone group, the first stroke risk varied by baseline folate levels and smoking status (never versus ever). Specifically, there was an inverse association between folate levels and first stroke in never smokers (P for linear trend=0.043). However, no such association was found in ever smokers. A test for interaction between baseline folate levels and smoking status on first stroke was significant (P=0.045). In the total sample, folic acid therapy significantly reduced the risk of first stroke in never smokers with folate deficiency (hazard risk, 0.36; 95% confidence interval, 0.16-0.83) and in ever smokers with normal folate levels (hazard risk, 0.69; 95% confidence interval, 0.48-0.99). CONCLUSIONS Baseline folate levels and smoking status can interactively affect the risk of first stroke. Our data suggest that compared with never smokers, ever smokers may require a higher dosage of folic acid to achieve a greater beneficial effect on stroke. Our findings need to be confirmed by future randomized trials. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov. Unique identifier: NCT00794885.
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Affiliation(s)
- Ziyi Zhou
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Jianping Li
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Yaren Yu
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Youbao Li
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Yan Zhang
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Lishun Liu
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Yun Song
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Min Zhao
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Yu Wang
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Genfu Tang
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Mingli He
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Xiping Xu
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Yefeng Cai
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Qiang Dong
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Delu Yin
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Xiao Huang
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Xiaoshu Cheng
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Binyan Wang
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Fan Fan Hou
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Xiaobin Wang
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.)
| | - Xianhui Qin
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.).
| | - Yong Huo
- From the Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University (Z.Z., L.L., Y.S., X.X., X.W.); Institute of Biomedicine, Anhui Medical University, Hefei, China (Z.Z., L.L., G.T., X.X., B.W., X.Q.); Department of Cardiology, Peking University First Hospital, Beijing, China (J.L., Y.Z., Y.H.); State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China (Y.Y., Y.L., M.Z., Y.W., X.X., B.W., F.F.H., X.Q.); School of Health Administration, Anhui University, Hefei, China (G.T.); Department of Neurology (M.H.) and Department of Cardiology (D.Y.), First People's Hospital, Lianyungang, China; Department of Neurology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China (M.Z., Y.C.); Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China (Q.D.); Department of Cardiovascular Medicine, Second Affiliated Hospital of Nanchang University, China (X.H., X.C.); and Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.W.).
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Masana L, Ros E, Sudano I, Angoulvant D. Is there a role for lifestyle changes in cardiovascular prevention? What, when and how? ATHEROSCLEROSIS SUPP 2018; 26:2-15. [PMID: 28434481 DOI: 10.1016/s1567-5688(17)30020-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS Lifestyle has been found to play an important role in the prevention of cardiovascular disease (CVD). There is evidence to suggest that if lifestyle factors are modified successfully, the relative risk of CVD can be reduced. Risk factors for CVD such as high blood pressure, diabetes mellitus and dyslipidaemias can be modified by lifestyle changes. The main aim of this article is to provide best practice approaches and support for healthcare professionals on the role of lifestyle changes in the prevention of CVD. METHODS A working group of experts discussed existing guidelines, clinical practice and evidence, and provided their recommendations on ten topics concerning the role of lifestyle in CVD prevention. These topics covered important lifestyle factors as well as tools/approaches to assess or encourage lifestyle changes. RESULTS The group of clinical experts collaborated to provide their opinion on the following topics: one diet versus customised diets; the role of alcohol consumption in a healthy diet; a diet based on nutrient composition or on whole foods; a Mediterranean versus low-fat diet; the role of dietary supplements; physical activity; smoking cessation; the role of a nutritionist/dietitian in a CVD risk multidisciplinary team; tools to be implemented to assess diet, physical activity and smoking status; and the most effective approaches to encourage lifestyle changes. CONCLUSIONS The expert working group agreed that lifestyle changes were important in preventing CVD and provided recommendations which complemented current guidance and increased clarity on several topics.
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Affiliation(s)
- Lluís Masana
- Hospital Universitari Sant Joan, Universitat Rovira i Virgili, IISPV, CIBERDEM, Reus, Spain.
| | - Emilio Ros
- Endocrinology and Nutrition Service, Hospital Clinic, Barcelona and CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Isabella Sudano
- University Heart Center Cardiology, University Hospital of Zurich, Zurich, Switzerland
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Wang K, Li F, Zhang X, Li Z, Li H. Smoking increases risks of all-cause and breast cancer specific mortality in breast cancer individuals: a dose-response meta-analysis of prospective cohort studies involving 39725 breast cancer cases. Oncotarget 2018; 7:83134-83147. [PMID: 27863414 PMCID: PMC5347758 DOI: 10.18632/oncotarget.13366] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 10/17/2016] [Indexed: 12/18/2022] Open
Abstract
Smoking is associated with the risks of mortality from breast cancer (BC) or all causes in BC survivors. Two-stage dose-response meta-analysis was conducted. A search of PubMed and Embase was performed, and a random-effect model was used to yield summary hazard ratios (HRs). Eleven prospective cohort studies were included. The summary HR per 10 cigarettes/day, 10 pack-years, 10 years increase were 1.10 (95% confidence interval (CI) = 1.04–1.16), 1.09 (95% CI = 1.06–1.12), 1.10 (95% CI = 1.06–1.14) for BC specific mortality, and 1.15 (95% CI = 1.10–1.19), 1.15 (95% CI = 1.10–1.20), 1.17 (95% CI = 1.11–1.23) for all-cause mortality, respectively. The linear or non-linear associations between smoking and risks of mortality from BC or all causes were revealed. Subgroup analyses suggested a positive association between ever or former smoking and the risk of all-cause mortality in BC patients, especially in high doses consumption. In conclusion, higher smoking intensity, more cumulative amount of cigarettes consumption and longer time for smoking is associated with elevated risk of mortality from BC and all causes in BC individuals. The results regarding smoking cessation and “ever or former” smokers should be treated with caution due to limited studies.
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Affiliation(s)
- Kang Wang
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Feng Li
- Department of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Xiang Zhang
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Zhuyue Li
- Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Hongyuan Li
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
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