Section of General Internal Medicine, Department of Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States.
Boston University's Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA, United States.
J Med Internet Res. 2023 Mar 6;25:e43123. doi: 10.2196/43123.
Physical inactivity is a known risk factor for atrial fibrillation (AF). Wearable devices, such as smartwatches, present an opportunity to investigate the relation between daily step count and AF risk.
The objective of this study was to investigate the association between daily step count and the predicted 5-year risk of AF.
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/m), as well as the relation between self-reported physical activity and predicted 5-year AF risk.
We examined 923 electronic Framingham Heart Study participants (age: mean 53, SD 9 years; female: n=563, 61%) who had a median daily step count of 7227 (IQR 5699-8970). Most participants (n=823, 89.2%) had a <2.5% CHARGE-AF risk. Every 1000 steps were associated with a 0.08% lower CHARGE-AF risk (P<.001). A stronger association was observed in men and individuals with obesity. In contrast, self-reported physical activity was not associated with CHARGE-AF risk.
Higher daily step counts were associated with a lower predicted 5-year risk of AF, and this relation was stronger in men and participants with obesity. The utility of a wearable daily step counter for AF risk reduction merits further investigation.
身体活动不足是心房颤动(AF)的已知危险因素。可穿戴设备,如智能手表,为研究日常步数与 AF 风险之间的关系提供了机会。
本研究旨在探讨每日步数与 AF 预测 5 年风险之间的关联。
参与者来自电子弗雷明汉心脏研究,使用苹果智能手表。排除已诊断为 AF 的个体。收集每日步数、手表佩戴时间(小时和天数)和自我报告的体力活动数据。使用队列研究中心和老龄化研究在基因组流行病学(CHARGE)-AF 评分来估计个体的 5 年 AF 风险。通过线性回归来检验每日步数与预测 5 年 AF 风险之间的关系,调整年龄、性别和佩戴时间。进一步分析检验了性别和肥胖(BMI≥30kg/m)的作用修饰,以及自我报告的体力活动与预测 5 年 AF 风险之间的关系。
我们研究了 923 名电子弗雷明汉心脏研究参与者(年龄:平均 53 岁,标准差 9 岁;女性:n=563,61%),他们的中位数每日步数为 7227(IQR 5699-8970)。大多数参与者(n=823,89.2%)的 CHARGE-AF 风险<2.5%。每增加 1000 步,CHARGE-AF 风险降低 0.08%(P<.001)。在男性和肥胖者中观察到更强的关联。相比之下,自我报告的体力活动与 CHARGE-AF 风险无关。
更高的每日步数与预测的 5 年 AF 风险降低相关,这种关系在男性和肥胖者中更强。可穿戴式日常步数计数器在降低 AF 风险方面的效用值得进一步研究。