Borger Jay N, Huber Reto, Ghosh Arko
1Institute of Psychology, Cognitive Psychology Unit, Leiden University, Leiden, The Netherlands.
2Child Development Center, University Children's Hospital Zurich, Switzerland & Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital University of Zurich, Zürich, Switzerland.
NPJ Digit Med. 2019 Jul 29;2:73. doi: 10.1038/s41746-019-0147-4. eCollection 2019.
Body movements drop with sleep, and this behavioural signature is widely exploited to infer sleep duration. However, a reduction in body movements may also occur in periods of intense cognitive activity, and the ubiquitous use of smartphones may capture these wakeful periods otherwise hidden in the standard measures of sleep. Here, we continuously captured the gross body movements using standard wrist-worn accelerometers to quantify sleep (actigraphy) and logged the timing of the day-to-day touchscreen events ('tappigraphy'). Using these measures, we addressed how the gross body movements overlap with the cognitively engaging digital behaviour (from = 79 individuals, accumulating ~1400 nights). We find that smartphone use was distributed across a broad spectrum of physical activity levels, but consistently peaked at rest. We estimated the putative sleep onset and wake-up times from the actigraphy data to find that these times were well correlated to the estimates from tappigraphy (R = 0.9 for sleep-onset time and wake-up time). However, actigraphy overestimated sleep as virtually all of the users used their phones during the putative sleep period. Interestingly, the probability of touches remained greater than zero for ~2 h after the putative sleep onset, and ~2 h before the putative wake-up time. Our findings suggest that touchscreen interactions are widely integrated into modern sleeping habits-surrounding both sleep onset and waking-up periods-yielding a new approach to measuring sleep. Smartphone interactions can be leveraged to update the behavioural signatures of sleep with these peculiarities of modern digital behaviour.
身体活动会随着睡眠而减少,这种行为特征被广泛用于推断睡眠时间。然而,在高强度认知活动期间,身体活动也可能减少,而智能手机的普遍使用可能会捕捉到这些原本隐藏在标准睡眠测量中的清醒时段。在这里,我们使用标准的腕戴式加速度计持续捕捉全身运动,以量化睡眠(活动记录仪),并记录日常触摸屏事件的时间(“触摸记录仪”)。利用这些测量方法,我们研究了全身运动与认知参与度高的数字行为之间的重叠情况(来自79名个体,累计约1400个夜晚)。我们发现,智能手机的使用分布在广泛的身体活动水平范围内,但始终在休息时达到峰值。我们从活动记录仪数据中估计了假定的入睡时间和醒来时间,发现这些时间与触摸记录仪的估计值高度相关(入睡时间和醒来时间的R值均为0.9)。然而,活动记录仪高估了睡眠时间,因为几乎所有用户在假定的睡眠时间内都在使用手机。有趣的是,在假定的入睡时间后约2小时以及假定的醒来时间前约2小时,触摸的概率仍大于零。我们的研究结果表明,触摸屏交互已广泛融入现代睡眠习惯——围绕入睡期和醒来期——从而产生了一种测量睡眠的新方法。可以利用智能手机交互来更新睡眠的行为特征,以适应现代数字行为的这些特点。