Literature DB >> 28886993

Smoking and risk of atrial fibrillation in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study.

Muhammad Imtiaz Ahmad1, Candice D Mosley2, Wesley T O'Neal3, Suzanne E Judd2, Leslie A McClure4, Virginia J Howard5, George Howard2, Elsayed Z Soliman6.   

Abstract

BACKGROUND: Whether smoking increases the risk of atrial fibrillation (AF) remains debatable due to inconsistent reports.
METHODS: We examined the association between smoking and incident AF in 11,047 participants from the REasons for Geographic And Racial Differences in Stroke (REGARDS) Study, one of the largest biracial, population-based cohort studies in the USA. Baseline (2003-2007) cigarette smoking status and amount (pack-years) were self-reported. Incident AF was determined by electrocardiography and history of a prior physician diagnosis at a follow-up examination conducted after a median of 10.6 years.
RESULTS: During follow-up, 954 incident AF cases were identified; 9.5% in smokers vs. 7.8% in non-smokers; p<0.001. In a model adjusted for socio-demographics, smoking (ever vs. never) was associated with a 15% increased risk of AF [OR (95%CI): 1.15(1.00, 1.31)], but this association was no longer significant after further adjustment for cardiovascular risk factors [OR (95% CI): 1.12 (0.97, 1.29)]. However, heterogeneities in the association were observed among subgroups; the association was stronger in young vs. old participants [OR (95%CI): 1.31 (1.03, 1.67) vs. 0.99 (0.83-1.18) respectively; interaction p-value=0.005] and in those with vs. without prior cardiovascular disease [OR (95%CI): 1.18 (0.90, 1.56) vs. 1.06 (0.90, 1.25) respectively; interaction p-value 0.0307]. Also, the association was significant in blacks but not in whites [OR (95%CI): 1.51 (1.12, 2.05) vs. 0.99 (0.84, 1.16), respectively], but the interaction p-value did not reach statistical significance (interaction p-value=0.65).
CONCLUSIONS: The association between smoking and AF is possibly mediated by a higher prevalence of cardiovascular risk factors in smokers, but there is marked heterogeneity in the strength of this association among subgroups which may explain the conflicting results in prior studies.
Copyright © 2017 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; REGARDS study; Smoking

Mesh:

Year:  2017        PMID: 28886993      PMCID: PMC5735021          DOI: 10.1016/j.jjcc.2017.07.014

Source DB:  PubMed          Journal:  J Cardiol        ISSN: 0914-5087            Impact factor:   3.159


  16 in total

1.  Effects of passive smoking on heart rate variability, heart rate and blood pressure: an observational study.

Authors:  Denise Felber Dietrich; Joel Schwartz; Christian Schindler; Jean-Michel Gaspoz; Jean-Claude Barthélémy; Jean-Marie Tschopp; Frédéric Roche; Arnold von Eckardstein; Otto Brändli; Philippe Leuenberger; Diane R Gold; Ursula Ackermann-Liebrich
Journal:  Int J Epidemiol       Date:  2007-04-17       Impact factor: 7.196

2.  Self-reported atrial fibrillation and risk of stroke in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study.

Authors:  Elsayed Z Soliman; George Howard; James F Meschia; Mary Cushman; Paul Muntner; Patrick M Pullicino; Leslie A McClure; Suzanne Judd; Virginia J Howard
Journal:  Stroke       Date:  2011-08-04       Impact factor: 7.914

3.  The reasons for geographic and racial differences in stroke study: objectives and design.

Authors:  Virginia J Howard; Mary Cushman; Leavonne Pulley; Camilo R Gomez; Rodney C Go; Ronald J Prineas; Andra Graham; Claudia S Moy; George Howard
Journal:  Neuroepidemiology       Date:  2005-06-29       Impact factor: 3.282

4.  Hospitalizations for atrial fibrillation in the general male population: morbidity and risk factors.

Authors:  L Wilhelmsen; A Rosengren; G Lappas
Journal:  J Intern Med       Date:  2001-11       Impact factor: 8.989

5.  Nicotine is a potent blocker of the cardiac A-type K(+) channels. Effects on cloned Kv4.3 channels and native transient outward current.

Authors:  H Wang; H Shi; L Zhang; M Pourrier; B Yang; S Nattel; Z Wang
Journal:  Circulation       Date:  2000-09-05       Impact factor: 29.690

6.  Incidence of and risk factors for atrial fibrillation in older adults.

Authors:  B M Psaty; T A Manolio; L H Kuller; R A Kronmal; M Cushman; L P Fried; R White; C D Furberg; P M Rautaharju
Journal:  Circulation       Date:  1997-10-07       Impact factor: 29.690

7.  Population prevalence, incidence, and predictors of atrial fibrillation in the Renfrew/Paisley study.

Authors:  S Stewart; C L Hart; D J Hole; J J McMurray
Journal:  Heart       Date:  2001-11       Impact factor: 5.994

Review 8.  Systemic effects of smoking.

Authors:  Dilyara G Yanbaeva; Mieke A Dentener; Eva C Creutzberg; Geertjan Wesseling; Emiel F M Wouters
Journal:  Chest       Date:  2007-05       Impact factor: 9.410

9.  Cigarette smoking and risk of atrial fibrillation: the Rotterdam Study.

Authors:  Jan Heeringa; Jan A Kors; Albert Hofman; Frank J A van Rooij; Jacqueline C M Witteman
Journal:  Am Heart J       Date:  2008-10-14       Impact factor: 4.749

10.  The natural history of atrial fibrillation: incidence, risk factors, and prognosis in the Manitoba Follow-Up Study.

Authors:  A D Krahn; J Manfreda; R B Tate; F A Mathewson; T E Cuddy
Journal:  Am J Med       Date:  1995-05       Impact factor: 4.965

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  3 in total

1.  An Auxiliary Scoring Model for Patients with Acute Pulmonary Embolism Complicated with Atrial Fibrillation Was Established Based on Random Forests.

Authors:  Chuang Zhang; Qiongchan Guan; Jie Qin; Daochao Huang; Jinhong Wu
Journal:  Emerg Med Int       Date:  2022-08-22       Impact factor: 1.621

Review 2.  Harmful Impact of Tobacco Smoking and Alcohol Consumption on the Atrial Myocardium.

Authors:  Amelie H Ohlrogge; Lars Frost; Renate B Schnabel
Journal:  Cells       Date:  2022-08-18       Impact factor: 7.666

3.  Association between clustering of unhealthy lifestyle factors and risk of new-onset atrial fibrillation: a nationwide population-based study.

Authors:  So-Ryoung Lee; Eue-Keun Choi; Hyo-Jeong Ahn; Kyung-Do Han; Seil Oh; Gregory Y H Lip
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

  3 in total

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