American Journal of Cardiology
Volume 108, Issue 2 , Pages 227-232, 15 July 2011

Association of the Metabolic Syndrome With Atrial Fibrillation Among United States Adults (from the REasons for Geographic and Racial Differences in Stroke [REGARDS] Study)

  • Rikki M. Tanner, MPH

      Affiliations

    • Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
  • ,
  • Usman Baber, MD

      Affiliations

    • Mount Sinai School of Medicine, New York, New York
  • ,
  • April P. Carson, PhD

      Affiliations

    • Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
  • ,
  • Jenifer Voeks, PhD

      Affiliations

    • Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
  • ,
  • Todd M. Brown, MD, MSPH

      Affiliations

    • Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
  • ,
  • Elsayed Z. Soliman, MD

      Affiliations

    • Department of Epidemiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina
  • ,
  • Virginia J. Howard, PhD

      Affiliations

    • Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
  • ,
  • Paul Muntner, PhD

      Affiliations

    • Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
    • Corresponding Author InformationCorresponding author: Tel: 205-975-8077; fax: 205-934-8665

Received 24 November 2010; received in revised form 9 March 2011; accepted 9 March 2011. published online 02 May 2011.

Metabolic syndrome (MS) and atrial fibrillation (AF) are associated with increased cardiovascular disease morbidity and mortality. This analysis evaluated the association between MS and AF in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. MS was defined using criteria recommended in the joint interim statement from several international societies. AF was defined by electrocardiogram (ECG) and/or self-report and by ECG alone. In patients with 0, 1, 2, 3, 4, and 5 MS components, prevalences of AF by ECG and/or self-report were 5.5%, 7.7%, 8.2%, 9.2%, 9.6%, and 11.5%, respectively (p for trend <0.001). After multivariable adjustment, each MS component except serum triglycerides was significantly associated with AF. The multivariable-adjusted odds ratio for AF, defined by ECG and/or or self-reported history, comparing those with to those without MS was 1.20 (95% confidence interval 1.10 to 1.29). Results were consistent when AF was defined by ECG alone (odds ratio 1.15, 95% confidence interval 0.92 to 1.39). In conclusion, MS is associated with an increased prevalence of AF. Further studies investigating a potential mechanism for this excess risk are warranted.

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 This research project is supported by a cooperative agreement (U01 NS041588) from the National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, Department of Health and Human Services. Additional funding was provided by an investigator-initiated grant-in-aid from Amgen Corporation, Thousand Oaks, California. Dr. Brown is supported by grant 5KL2 RR025776-02 from UAB Center for Clinical and Translational Science with funding from the NIH National Center for Research Resources.

PII: S0002-9149(11)01267-7

doi:10.1016/j.amjcard.2011.03.026

American Journal of Cardiology
Volume 108, Issue 2 , Pages 227-232, 15 July 2011