From dusk to dawn: examining how adolescents engage with digital media using objective measures of screen time in a repeated measures study.

IF 5.6 1区 医学 Q1 NUTRITION & DIETETICS
Bradley Brosnan, Kim A Meredith-Jones, Jillian J Haszard, Shay-Ruby Wickham, Barbara C Galland, Takiwai Russell-Camp, Rachael W Taylor
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引用次数: 0

Abstract

Background: Although evening screen time is thought to impair subsequent sleep, current measures are limited to questionnaires which seem unlikely to accurately assess screen time in youth. Given the ubiquitous nature of digital devices, improving measurement of screen time is required before related health effects can be appropriately determined. The aim of this study was to objectively quantify screen time before sleep using video camera footage.

Methods: This repeated-measures observational study in healthy adolescents (11-14 years) from Dunedin, New Zealand measured screen time on four evenings over one week in the home environment from March-December 2021. Wearable and stationary PatrolEyes video cameras captured screen time from two hours before bedtime until sleep and manually coded for device type (phone, tablet, laptop computer, desktop computer, handheld gaming console, gaming console, television and other) and screen activity (watching, listening, reading, educational/creative, browsing, communication, social media, video gaming, multitasking) using a reliable coding schedule (κ ≥ 0.8). Descriptive findings are reported.

Findings: Among the 83 participants (mean 12.3 [SD 1.0] years, 42% female, 52% New Zealand European, 37% Māori [indigenous]), 82 used screens in the two hours before bed on 308 of 344 (90%) nights for a mean of 54.4 min (SD 25.5). Televisions (median 37 min, 56% of nights), phones (19 min, 64% nights), and multitasking using multiple devices (19 min, 48% nights) were most commonly used (> 75% of adolescents). Once in bed but before trying to sleep, 58% of adolescents engaged in screen time for 17 (26.3) minutes on 36% of nights. The most common screen activities were watching (32.5%), social media (26.5%) and communication (20.5%). Even after attempting sleep, 32.5% of participants used screens for 8.0 min (median) on 16% of nights, mostly listening on phones.

Conclusions: Objective video cameras offer detailed insight into evening screen habits, capturing frequency, content, and duration. Youth frequently engage with screens before bed and throughout the night on a range of activities, despite recommendations to restrict screen time prior to sleep.

Trial registration: Australian New Zealand Clinical Trials Registry (anzctr.org.au), AACTRN12621000193875, Registered 23 February 2021, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380926&isReview=true .

从黄昏到黎明:在重复测量研究中使用屏幕时间的客观测量来检查青少年如何参与数字媒体。
背景:虽然晚上看屏幕的时间被认为会影响随后的睡眠,但目前的措施仅限于问卷调查,这似乎不太可能准确评估青少年的屏幕时间。鉴于数字设备无处不在的性质,在适当确定相关的健康影响之前,需要改进对屏幕时间的测量。这项研究的目的是用摄像机镜头客观地量化睡前看屏幕的时间。方法:这项对新西兰达尼丁健康青少年(11-14岁)的重复测量观察性研究于2021年3月至12月期间在一周内的四个晚上在家庭环境中测量屏幕时间。可穿戴式和固定式的PatrolEyes视频摄像机从就寝前两小时开始捕捉屏幕时间,并使用可靠的编码时间表(κ≥0.8)手动编码设备类型(电话、平板电脑、笔记本电脑、台式电脑、手持游戏机、游戏机、电视等)和屏幕活动(观看、收听、阅读、教育/创意、浏览、通信、社交媒体、视频游戏、多任务处理)。描述性结果报告。研究结果:在83名参与者中(平均12.3 [SD 1.0]岁,42%为女性,52%为新西兰欧洲人,37%为Māori[土著]),82名参与者在344个晚上中的308个(90%)晚上睡前两小时使用屏幕,平均54.4分钟(SD 25.5)。电视(平均37分钟,56%的晚上),电话(19分钟,64%的晚上)和使用多个设备进行多任务处理(19分钟,48%的晚上)是最常用的(约75%的青少年)。在上床睡觉之前,58%的青少年在36%的夜晚花17分钟(26.3分钟)看屏幕。最常见的屏幕活动是看电视(32.5%)、社交媒体(26.5%)和交流(20.5%)。即使在尝试睡觉后,32.5%的参与者在16%的夜晚使用屏幕8分钟(中位数),主要是听电话。结论:客观摄像机提供了详细的洞察晚上屏幕的习惯,捕获频率,内容和持续时间。尽管建议限制睡前看屏幕的时间,但青少年在睡前和晚上的一系列活动中经常使用屏幕。试验注册:澳大利亚新西兰临床试验注册中心(anzctr.org.au), AACTRN12621000193875,注册于2021年2月23日,https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380926&isReview=true。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
13.80
自引率
3.40%
发文量
138
审稿时长
4-8 weeks
期刊介绍: International Journal of Behavioral Nutrition and Physical Activity (IJBNPA) is an open access, peer-reviewed journal offering high quality articles, rapid publication and wide diffusion in the public domain. IJBNPA is devoted to furthering the understanding of the behavioral aspects of diet and physical activity and is unique in its inclusion of multiple levels of analysis, including populations, groups and individuals and its inclusion of epidemiology, and behavioral, theoretical and measurement research areas.
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