Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis
Shapira-Daniels, Ayelet Kornej, Jelena Spartano, Nicole L Wang, Xuzhi Zhang, Yuankai Pathiravasan, Chathurangi H Liu, Chunyu Trinquart, Ludovic Borrelli, Belinda McManus, David D
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Abstract
Participants from the electronic Framingham Heart Study used an Apple smartwatch. Individuals with diagnosed AF were excluded. Daily step count, watch wear time (hours and days), and self-reported physical activity data were collected. Individuals' 5-year risk of AF was estimated, using the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE)-AF score. The relation between daily step count and predicted 5-year AF risk was examined via linear regression, adjusting for age, sex, and wear time. Secondary analyses examined effect modification by sex and obesity (BMI≥30 kg/m2), as well as the relation between self-reported physical activity and predicted 5-year AF risk.
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Shapira-Daniels A, Kornej J, Spartano NL, Wang X, Zhang Y, Pathiravasan CH, Liu C, Trinquart L, Borrelli B, McManus DD, Murabito JM, Benjamin EJ, Lin H. Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis. J Med Internet Res. 2023 Mar 6;25:e43123. doi: 10.2196/43123. PMID: 36877540; PMCID: PMC10028513.