Association of Habitual Physical Activity With Cardiovascular Disease Risk.
Association of Habitual Physical Activity With Cardiovascular Disease Risk.
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习惯性体力活动与心血管疾病风险的关系。
DOI：
10.1161/circresaha.120.317578
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发表时间：
2020-10-23
影响因子：
20.1
通讯作者：
McManus DD
中科院分区：
文献类型：
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作者：
Lin H;Sardana M;Zhang Y;Liu C;Trinquart L;Benjamin EJ;Manders ES;Fusco K;Kornej J;Hammond MM;Spartano NL;Pathiravasan CH;Kheterpal V;Nowak C;Borrelli B;Murabito JM;McManus DD
久坐的生活方式与心血管疾病（CVD）的风险增加有关。智能手表可以精确地监测日常活动，以测量和干预身体活动。然而，很少有研究调查了智能手表的身体活动测量与未来心血管疾病风险相关的传统风险因素的关系。研究智能手表测量的习惯性体育活动与预测成人心血管疾病风险的关系。我们招募了同意弗雷明汉心脏研究（FHS）的参与者，他们在FHS研究中心接受检查时，正在进行一项电子弗雷明汉心脏研究（eFHS）。我们为参与者提供了智能手表（Apple Watch Series 0），并指示他们每天佩戴，以平均每日步数来测量他们的习惯性体育活动。我们使用ACC/AHA 2013合并队列风险方程估计10年CVD预测风险。我们使用线性混合效应模型对年龄、性别、穿戴时间和家族结构进行调整，估计体力活动与预测心血管疾病风险之间的关系。我们的研究纳入了903名eFHS参与者（平均年龄53±9岁，61%为女性，9%为非白人），这些参与者每天佩戴智能手表≥5小时，持续≥30天。男性（7202步，四分位数间距[IQR] 3,619）和女性（7260步，IQR 3,068， P=0.52）的每日步数中位数相似。男性平均10年预测心血管疾病风险为4.5% (IQR为6.1%)，女性为1.2% (IQR为2.2%)（P=1.3 × 10−26）。每多走1000步，预测心血管疾病风险降低0.18% （P=3.2x10−4）。该相关性减弱，但在进一步调整体重指数后仍具有显著性（P=0.01）。在这个以社区为基础的成年人样本中，通过研究智能手表测量的较高的日常体力活动与较低的CVD预测风险相关。未来的研究应该检查前瞻性测量的日常活动和心血管疾病的纵向关联。
A sedentary lifestyle is associated with increased risk for cardiovascular disease (CVD). Smartwatches enable accurate daily activity monitoring for physical activity measurement and intervention. Few studies, however, have examined physical activity measures from smartwatches in relation to traditional risk factors associated with future risk for CVD. To investigate the association of habitual physical activity measured by smartwatch with predicted CVD risk in adults. We enrolled consenting Framingham Heart Study (FHS) participants in an ongoing electronic Framingham Heart Study (eFHS) at the time of their FHS research center examination. We provided participants with a smartwatch (Apple Watch Series 0) and instructed them to wear it daily, which measured their habitual physical activity as the average daily step count. We estimated the 10-year predicted risk of CVD using the ACC/AHA 2013 pooled cohort risk equation. We estimated the association between physical activity and predicted risk of CVD using linear mixed effects models adjusting for age, sex, wear time, and familial structure. Our study included 903 eFHS participants (mean age 53±9 years, 61% women, 9% non-white) who wore the smartwatch ≥5 hours per day for ≥30 days. Median daily step count was similar among men (7,202 with interquartile range [IQR] 3,619) and women (7,260 with IQR 3,068, P=0.52). Average 10-year predicted CVD risk was 4.5% (IQR 6.1%) for men and 1.2% (IQR 2.2%) for women (P=1.3x10−26). Every 1,000 steps higher habitual physical activity was associated with 0.18% lower predicted CVD risk (P=3.2x10−4). The association was attenuated but remained significant after further adjustment for body mass index (P=0.01). In this community-based sample of adults, higher daily physical activity measured by a study smartwatch was associated with lower predicted risk of CVD. Future research should examine the longitudinal association of prospectively measured daily activity and incident CVD.