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25-year Trajectories of Physical Activity and Atrial Fibrillation Risk: Results from the ARIC Study

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Abstract

Background: The relationship between serial changes in physical activity and the risk of developing atrial fibrillation (AF) has been rarely studied.

Objectives: To evaluate the association between changes in physical activity over time and the incidence of AF.

Methods: A total of 11,828 participants without AF at baseline (visit 1: 1987-1989) from the ARIC Study were included. Physical activity was measured using the modified Baecke Physical Activity Questionnaire at three different visits between 1987 and 2013. Physical activity trajectories over 25 years were identified using latent class trajectory modeling. The primary outcome was the incidence of AF. Multivariable Cox hazard regression models were used to evaluate the relationship between physical activity trajectories and the incidence of AF.

Results: Over a median follow-up of 24 years, 2,108 AF cases (17.8%) occurred. Four distinct physical activity trajectories were identified: light [ = 5,266 (43.3%)]; reduced moderate [ = 3,583 (29.0%)]; moderate [ = 2,691 (25.0%)]; and vigorous intensity [ = 288 (2.8%)]. Compared to the light group, the hazard ratio (HR) and 95% confidence interval (CI) for AF were 1.18 (1.07-1.30) ( < 0.001) for the reduced moderate group, 0.61 (0.53-0.70) ( < 0.001) for the moderate group, and 0.82 (0.59-1.12) ( = 0.21) for the vigorous group, after multivariate adjustments.

Conclusion: Maintaining moderate levels of physical activity is associated with a lower risk of AF, while a decrease in activity from moderate to light levels increases the risk. These findings highlight the importance of sustaining adequate physical activity levels for the prevention of AF.

References
1.
Blair S, Kohl 3rd H, Barlow C, Paffenbarger Jr R, Gibbons L, Macera C . Changes in physical fitness and all-cause mortality. A prospective study of healthy and unhealthy men. JAMA. 1995; 273(14):1093-8. View

2.
Wang N, Yu Y, Sun Y, Zhang H, Wang Y, Chen C . Acquired risk factors and incident atrial fibrillation according to age and genetic predisposition. Eur Heart J. 2023; 44(47):4982-4993. PMC: 10719493. DOI: 10.1093/eurheartj/ehad615. View

3.
Proust-Lima C, Letenneur L, Jacqmin-Gadda H . A nonlinear latent class model for joint analysis of multivariate longitudinal data and a binary outcome. Stat Med. 2006; 26(10):2229-45. DOI: 10.1002/sim.2659. View

4.
Kokkinos P, Myers J, Faselis C, Panagiotakos D, Doumas M, Pittaras A . Exercise capacity and mortality in older men: a 20-year follow-up study. Circulation. 2010; 122(8):790-7. DOI: 10.1161/CIRCULATIONAHA.110.938852. View

5.
Lee I, Shiroma E, Lobelo F, Puska P, Blair S, Katzmarzyk P . Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012; 380(9838):219-29. PMC: 3645500. DOI: 10.1016/S0140-6736(12)61031-9. View