与科技共眠：大学生睡眠问题的认知、情感及科技使用预测因素
Sleeping with technology: cognitive, affective, and technology usage predictors of sleep problems among college students.
作者信息
Rosen Larry, Carrier Louis M, Miller Aimee, Rokkum Jeffrey, Ruiz Abraham
机构信息
Department of Psychology, California State University Dominguez Hills, Carson CA 90747, USA.
Department of Psychology, California State University Dominguez Hills, Carson CA 90747, USA.
出版信息
Sleep Health. 2016 Mar;2(1):49-56. doi: 10.1016/j.sleh.2015.11.003. Epub 2016 Jan 4.
OBJECTIVES
Sleep problems related to technology affect college students through several potential mechanisms including displacement of sleep due to technology use, executive functioning abilities, and the impact of emotional states related to stress and anxiety about technology availability.
DESIGN
In the present study, cognitive and affective factors that influence technology usage were examined for their impact upon sleep problems.
PARTICIPANTS AND MEASUREMENTS
More than 700 US college students completed an online questionnaire addressing technology usage, anxiety/dependence, executive functioning, nighttime phone usage, bedtime phone location, and sleep problems.
RESULTS
A path model controlling for background variables was tested using the data. The results showed that executive dysfunction directly predicted sleep problems as well as affected sleep problems through nighttime awakenings. In addition, anxiety/dependence increased daily smartphone usage and also increased nighttime awakenings, which, in turn, affected sleep problems.
CONCLUSIONS
Thus, both the affective and cognitive factors that influence technology usage affected sleep problems.
目的
与科技相关的睡眠问题通过多种潜在机制影响大学生，这些机制包括因使用科技产品而导致的睡眠时间减少、执行功能能力，以及与对科技产品可用性的压力和焦虑相关的情绪状态的影响。
设计
在本研究中，研究了影响科技产品使用的认知和情感因素对睡眠问题的影响。
参与者与测量
700多名美国大学生完成了一份在线问卷，内容涉及科技产品使用、焦虑/依赖、执行功能、夜间手机使用、就寝时手机位置以及睡眠问题。
结果
使用这些数据对控制背景变量的路径模型进行了测试。结果表明，执行功能障碍直接预测睡眠问题，并通过夜间觉醒影响睡眠问题。此外，焦虑/依赖增加了每日智能手机的使用量，也增加了夜间觉醒次数，进而影响睡眠问题。
结论
因此，影响科技产品使用的情感和认知因素均会影响睡眠问题。
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