Johnson Shoyama Graduate School of Public Policy, University of Regina, 2155 College Ave, Regina, SK S4M0A1, Canada.
Johnson Shoyama Graduate School of Public Policy, University of Saskatchewan, 101 Diefenbaker Pl, Saskatoon, SK S7N 5B8, Canada.
Int J Environ Res Public Health. 2019 Jun 27;16(13):2275. doi: 10.3390/ijerph16132275.
Time on screens (screen time) on multiple digital devices (computers, mobile phones, tablets, television screens, etc.) due to varied motivations (work, leisure, entertainment, gaming, etc.) has become an integral part of population behaviour. However, a significant evidence gap exists in screen time accumulated over ubiquitous mobile devices such as smartphones. This study aimed to develop an accurate, reliable and replicable methodology to derive objective screen time (i.e., screen-state) from all types of citizen-owned smartphones. A convenience sample of 538 adults (≥18 years) from two largest urban centres in Saskatchewan, Canada (Regina and Saskatoon) was recruited in 2017 and 2018. Participants used a custom-built smartphone application to provide objective and subjective data. A novel methodology was developed to derive objective screen-state, and these data were compared with subjective measures. The findings showed that objective screen-state from smartphones can be derived and assessed across a range of cut-points that take into consideration varied measurement errors. When objective measures were compared with subjective reporting, the results indicated that participants consistently underreported screen time. This study not only provides a methodology to derive objective screen-state from ubiquitous mobile devices such as smartphones but also emphasises the need to capture context via subjective measures.
由于各种动机(工作、休闲、娱乐、游戏等),人们在多种数字设备(计算机、手机、平板电脑、电视屏幕等)上花费的屏幕时间(屏幕时间)已经成为人们行为的一个组成部分。然而,在智能手机等无处不在的移动设备上积累的屏幕时间方面,存在着显著的证据差距。本研究旨在开发一种准确、可靠和可复制的方法,从所有类型的公民拥有的智能手机中得出客观的屏幕时间(即屏幕状态)。2017 年和 2018 年,在加拿大萨斯喀彻温省的两个最大城市里贾纳和萨斯卡通招募了 538 名成年人(≥18 岁)作为便利样本。参与者使用定制的智能手机应用程序提供客观和主观数据。开发了一种新的方法来推导客观的屏幕状态,并将这些数据与主观测量进行比较。研究结果表明,可以从智能手机等无处不在的移动设备中得出和评估客观的屏幕状态,并考虑到各种测量误差,在一系列的截止值上进行评估。当客观测量与主观报告进行比较时,结果表明参与者始终低估了屏幕时间。这项研究不仅提供了一种从智能手机等无处不在的移动设备中得出客观屏幕状态的方法,还强调了通过主观测量来捕捉背景的必要性。