Larsen Lisbeth Hoekjaer, Lauritzen Maja Hedegaard, Gangstad Sirin Wilhelmsen, Kjaer Troels Wesenberg
Department of Neurology, Zealand University Hospital, Roskilde, Denmark.
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.
JMIR Form Res. 2021 Jan 4;5(1):e20410. doi: 10.2196/20410.
Modern lifestyle is heavily affected by technology such as smartphones, tablets, and other small computers; yet it remains unclear how our health and well-being are affected by the heavy use of these devices.
This feasibility study aims to test two different interventions of an experimental protocol for a forthcoming large-scale community-based study and get estimates of parameters for sample size calculation. The aim of the large-scale study is to investigate the effect of (1) a wearable tracking device on aerobic capacity (VOmax/kg) and the effect of (2) restricting media use on total sleep time.
Twenty healthy participants were included and equipped with a wrist-worn device tracking physical activity and sleep. Participants were allocated to either a physical activity group, which was instructed to use the wrist-worn device to support exercise, or a sleep silent group, which was instructed to remove or switch off all electronic devices in the bedroom (except the wrist-worn tracking device). The intervention lasted approximately 4 weeks. Data collected included blood pressure, submaximal cycle ergometer test, self-reported technology use, and compliance of using the wearable tracking device.
All participants wore the wearable tracking device 95.8% (SD 4.4%) of the time. Participants in the physical activity group increased aerobic capacity from 30.38 (SD 8.98) to 32.1 (SD 8.71) mL/kg/min (t=-2.31, P=.046) and decreased their systolic blood pressure from 126.5 (SD 15.8) mm Hg to 121.8 (SD 11.7) mm Hg (t=2.72, P=.02). The sleep silent group prolonged their time offline before bedtime from 18.1 (SD 19.4) minutes to 27.2 (SD 17.3) minutes (t=-2.94, P=.02).
The two interventions are feasible to conduct. Participants were willing to wear the tracking device on their wrist and restrict all media use in their bedroom and thereby reduce bedtime technology use. Our results also suggest that tracking physical activity using a wearable device is accompanied by noteworthy health benefits. We outline necessary adjustments for a forthcoming large-scale study.
现代生活方式受到智能手机、平板电脑和其他小型计算机等技术的严重影响；然而，大量使用这些设备如何影响我们的健康和幸福仍不清楚。
这项可行性研究旨在为即将开展的大规模社区研究测试实验方案的两种不同干预措施，并获取样本量计算参数的估计值。大规模研究的目的是调查（1）可穿戴追踪设备对有氧能力（最大摄氧量/千克）的影响以及（2）限制媒体使用对总睡眠时间的影响。
纳入20名健康参与者，并为其配备腕戴式设备以追踪身体活动和睡眠。参与者被分配到身体活动组，该组被指示使用腕戴式设备来支持锻炼，或者睡眠安静组，该组被指示在卧室中移除或关闭所有电子设备（腕戴式追踪设备除外）。干预持续约4周。收集的数据包括血压、次极量蹬车试验、自我报告的技术使用情况以及使用可穿戴追踪设备的依从性。
所有参与者佩戴可穿戴追踪设备的时间占比为95.8%（标准差4.4%）。身体活动组的参与者有氧能力从30.38（标准差8.98）增加到32.1（标准差8.71）毫升/千克/分钟（t=-2.31，P=0.046），收缩压从126.5（标准差15.8）毫米汞柱降至121.8（标准差11.7）毫米汞柱（t=2.72，P=0.02）。睡眠安静组将睡前离线时间从18.1（标准差19.4）分钟延长至27.2（标准差17.3）分钟（t=-2.94，P=0.02）。
这两种干预措施可行。参与者愿意佩戴腕部追踪设备并限制卧室中的所有媒体使用，从而减少睡前技术使用。我们的结果还表明，使用可穿戴设备追踪身体活动伴随着显著的健康益处。我们概述了即将开展的大规模研究的必要调整。
