Day-to-day measurement of physical activity and risk of atrial fibrillation.
Day-to-day measurement of physical activity and risk of atrial fibrillation.
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DOI：
10.1093/eurheartj/ehab597
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发表时间：
2021-10-07
影响因子：
39.3
通讯作者：
Diederichsen SZ
中科院分区：
文献类型：
--
作者：
Bonnesen MP;Frodi DM;Haugan KJ;Kronborg C;Graff C;Højberg S;Køber L;Krieger D;Brandes A;Svendsen JH;Diederichsen SZ
本研究的目的是调查个体内体力活动的变化与房颤(房颤)发病之间的关系。共有1410名来自普通人群的参与者(46.2%为女性，平均年龄74.7 ± 4.1 年)有危险因素，但没有被诊断为房颤，他们在≈3.5 年期间接受了持续的房颤发作监测和每日体力活动加速计量学评估。监测的总持续时间为≈160万天，其中361人(25.6%)检测到10851次房颤发作，持续时间为≥60 分钟，中位数为5次(2，25次)。每日体力活动的中位数为112(66,168)分钟/天。计算了一个描述个体内每日体力活动变化的动态参数，即与前100 天相比，最近一周的平均每日活动，并用于模拟房颤的发生。平均每日体力活动减少1小时与第二天发生房颤有关[优势比1.24(1.18-1.31)]。这一效应被总体活动水平(P <； 0.001，交互作用)所修正，总体活动最低的参与者的三分位数信号最强[低：1.62(1.41-1.86)，中：1.27(1.16-1.39)，高：1.10(1.01-1.19)]。在高危人群中，通过持续监测发现，个体内体力活动的变化与房颤发作的发生有关。对于每个人来说，在过去一周内每天减少1小时的体力活动会使第二天发生房颤的几率增加25%，而最强的相关性出现在总体活动量最低的组中。ClinicalTrials.gov，标识：NCT02036450。
The aim of this study was to investigate the association between within-individual changes in physical activity and onset of atrial fibrillation (AF). A total of 1410 participants from the general population (46.2% women, mean age 74.7 ± 4.1 years) with risk factors but with no prior AF diagnosis underwent continuous monitoring for AF episodes along with daily accelerometric assessment of physical activity using an implantable loop recorder during ≈3.5 years. The combined duration of monitoring was ≈1.6 million days, where 10 851 AF episodes lasting ≥60 min were detected in 361 participants (25.6%) with a median of 5 episodes (2, 25) each. The median daily physical activity was 112 (66, 168) min/day. A dynamic parameter describing within-individual changes in daily physical activity, i.e. average daily activity in the last week compared to the previous 100 days, was computed and used to model the onset of AF. A 1-h decrease in average daily physical activity was associated with AF onset the next day [odds ratio 1.24 (1.18–1.31)]. This effect was modified by overall level of activity (P < 0.001 for interaction), and the signal was strongest in the tertile of participants with lowest activity overall [low: 1.62 (1.41–1.86), mid: 1.27 (1.16–1.39), and high: 1.10 (1.01–1.19)]. Within-individual changes in physical activity are associated with the onset of AF episodes as detected by continuous monitoring in a high-risk population. For each person, a 1-h decrease in daily physical activity during the last week increased the odds of AF onset the next day by ≈25%, while the strongest association was seen in the group with the lowest activity overall. ClinicalTrials.gov, identifier: NCT02036450.
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