Lifestyle habits associated with cardiac conduction disease

Author:

Frimodt-Møller Emilie K12ORCID,Soliman Elsayed Z3ORCID,Kizer Jorge R1ORCID,Vittinghoff Eric1ORCID,Psaty Bruce M4ORCID,Biering-Sørensen Tor25ORCID,Gottdiener John S6ORCID,Marcus Gregory M1ORCID

Affiliation:

1. Division of Cardiology, University of California San Francisco , 505 Parnassus Ave, M1180B, San Francisco, CA 94143 , USA

2. Department of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen , Copenhagen , Denmark

3. Department of Cardiovascular Medicine, Wake Forest School of Medicine , Winston-Salem, NC , USA

4. Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington , Washington, WA 98195-9458 , USA

5. Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen , Copenhagen , Denmark

6. Division of Cardiology, University of Maryland , Baltimore, MD 21201 , USA

Abstract

Abstract Aims Cardiac conduction disease can lead to syncope, heart failure, and death. The only available therapy is pacemaker implantation, with no established prevention strategies. Research to identify modifiable risk factors has been scant. Methods and results Data from the Cardiovascular Health Study, a population-based cohort study of adults ≥ 65 years with annual 12-lead electrocardiograms obtained over 10 years, were utilized to examine relationships between baseline characteristics, including lifestyle habits, and conduction disease. Of 5050 participants (mean age 73 ± 6 years; 52% women), prevalent conduction disease included 257 with first-degree atrioventricular block, 99 with left anterior fascicular block, 9 with left posterior fascicular block, 193 with right bundle branch block (BBB), 76 with left BBB, and 102 with intraventricular block at baseline. After multivariable adjustment, older age, male sex, a larger body mass index, hypertension, and coronary heart disease were associated with a higher prevalence of conduction disease, whereas White race and more physical activity were associated with a lower prevalence. Over a median follow-up on 7 (interquartile range 1–9) years, 1036 developed incident conduction disease. Older age, male sex, a larger BMI, and diabetes were each associated with incident conduction disease. Of lifestyle habits, more physical activity (hazard ratio 0.91, 95% confidence interval 0.84–0.98, P = 0.017) was associated with a reduced risk, while smoking and alcohol did not exhibit a significant association. Conclusion While some difficult to control comorbidities were associated with conduction disease as expected, a readily modifiable lifestyle factor, physical activity, was associated with a lower risk.

Funder

NHLBI

NINDS

National Institute on Aging

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine

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