Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand.
Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand.
Am J Prev Med. 2019 Sep;57(3):417-424. doi: 10.1016/j.amepre.2019.04.012. Epub 2019 Aug 1.
The influence of screens and technology on adolescent well-being is controversial and there is a need to improve methods to measure these behaviors. This study examines the feasibility and acceptability of using automated wearable cameras to measure evening screen use in adolescents.
A convenience sample of adolescents (aged 13-17 years, n=15) wore an automated camera for 3 evenings from 5:00pm to bedtime. The camera (Brinno TLC120) captured an image every 15 seconds. Fieldwork was completed between October and December 2017, and data analyzed in 2018. Feasibility was examined by quality of the captured images, wear time, and whether images could be coded in relation to contextual factors (e.g., type of screen and where screen use occurred). Acceptability was examined by participant compliance to the protocol and from an exit interview.
Data from 39 evenings were analyzed (41,734 images), with a median of 268 minutes per evening. The camera was worn for 78% of the evening on Day 1, declining to 51% on Day 3. Nearly half of the images contained a screen in active use (46%), most commonly phones (13.7%), TV (12.6%), and laptops (8.2%). Multiple screen use was evident in 5% of images. Within the exit interview, participants raised no major concerns about wearing the camera, and data loss because of deletions or privacy concerns was minimal (mean, 14 minutes, 6%).
Automated cameras offer a feasible, acceptable method of measuring prebedtime screen behavior, including environmental context and aspects of media multitasking in adolescents.
屏幕和技术对青少年健康的影响存在争议，因此需要改进测量这些行为的方法。本研究旨在检验使用自动可穿戴相机测量青少年夜间屏幕使用情况的可行性和可接受性。
本研究采用便利抽样法招募了 15 名（年龄 13-17 岁）青少年，让他们在 3 个晚上（从下午 5 点到睡觉时间）佩戴自动相机。相机（Brinno TLC120）每 15 秒拍摄一张图像。现场工作于 2017 年 10 月至 12 月进行，数据分析于 2018 年进行。通过拍摄图像的质量、佩戴时间以及图像是否可以根据环境因素（例如屏幕类型和屏幕使用位置）进行编码来评估可行性。通过参与者对方案的遵守情况和退出访谈来评估可接受性。
共分析了 39 个晚上的数据（41734 张图像），每晚的中位数为 268 分钟。相机在第一天晚上佩戴了 78%的时间，到第三天下降到 51%。近一半的图像中包含正在使用的屏幕（46%），最常见的是手机（13.7%）、电视（12.6%）和笔记本电脑（8.2%）。在 5%的图像中存在多屏幕使用。在退出访谈中，参与者对佩戴相机没有提出重大担忧，并且由于删除或隐私问题导致的数据丢失很少（平均 14 分钟，6%）。
自动相机为测量青少年睡前屏幕行为提供了一种可行且可接受的方法，包括环境背景和媒体多任务处理的方面。
