Goel Ashish, Moinuddin Arsalan, Tiwari Rajesh, Sethi Yashendra, Suhail Mohammed K, Mohan Aditi, Kaka Nirja, Sarthi Parth, Dutt Ravi, Ahmad Sheikh F, Attia Sabry M, Emran Talha Bin, Chopra Hitesh, Greig Nigel H
Graphic Era Institute of Medical Sciences, Dehradun 248008, Uttarakhand, India.
School of Sport and Exercise, University of Gloucestershire, Gloucester GL50 2RH, UK.
Healthcare (Basel). 2023 Nov 2;11(21):2891. doi: 10.3390/healthcare11212891.
Smartphone use, particularly at night, has been shown to provoke various circadian sleep-wake rhythm disorders such as insomnia and excessive daytime tiredness. This relationship has been mainly scrutinized among patient groups with higher rates of smartphone usage, particularly adolescents and children. However, it remains obscure how smartphone usage impacts sleep parameters in adults, especially undergraduate college students. This study sought to (1) investigate the association between smartphone use (actual screen time) and four sleep parameters: Pittsburgh sleep quality score (PSQI), self-reported screen time, bedtime, and rise time; (2) compare the seven PSQI components between good and poor sleep quality subjects. In total, 264 undergraduate medical students (aged 17 to 25 years) were recruited from the Government Doon Medical College, Dehradun, India. All participants completed a sleep questionnaire, which was electronically shared via a WhatsApp invitation link. Hierarchical and multinomial regression analyses were performed in relation to (1) and (2). The average PSQI score was 5.03 ± 0.86, with approximately one in two respondents (48.3%) having a poor sleep index. Smartphone use significantly predicted respondents' PSQI score (β = 0.142, = 0.040, R = 0.027), perceived screen time (β = 0.113, = 0.043, R = 343), bedtime (β = 0.106, = 0.042, R = 045), and rise time (β = 0.174, = 0.015, R = 0.028). When comparing poor-quality sleep (PSQI ≥ 5) to good-quality sleep (PSQI < 5), with good-quality sleep as the reference, except sleep efficiency and sleep medications ( > 0.05), five PSQI components declined significantly: subjective sleep quality (β = -0.096, < 0.001); sleep latency (β = -0.034, < 0.001); sleep duration (β = -0.038, < 0.001); sleep disturbances (β = 1.234, < 0.001); and sleep dysfunction (β = -0.077, < 0.001). Consequently, public health policymakers should take this evidence into account when developing guidelines around smartphone use-i.e., the when, where, and how much smartphone use-to promote improved sleep behaviour and reduce the rate of sleep-wake rhythm disorders.
研究表明,使用智能手机,尤其是在夜间使用,会引发各种昼夜睡眠-清醒节律紊乱,如失眠和白天过度疲劳。这种关系主要在智能手机使用率较高的患者群体中进行了研究,特别是青少年和儿童。然而,智能手机使用如何影响成年人,尤其是大学生的睡眠参数,目前仍不清楚。本研究旨在:(1)调查智能手机使用(实际屏幕使用时间)与四个睡眠参数之间的关联:匹兹堡睡眠质量指数(PSQI)、自我报告的屏幕使用时间、就寝时间和起床时间;(2)比较睡眠质量好和睡眠质量差的受试者之间PSQI的七个组成部分。总共从印度德拉敦政府杜恩医学院招募了264名本科医学生(年龄在17至25岁之间)。所有参与者都完成了一份睡眠问卷,该问卷通过WhatsApp邀请链接以电子方式共享。针对(1)和(2)进行了分层和多项回归分析。PSQI平均得分为5.03±0.86,约二分之一的受访者(48.3%)睡眠指数较差。智能手机使用显著预测了受访者的PSQI得分(β=0.142,P=0.040,R=0.027)、感知屏幕使用时间(β=0.113,P=0.043,R=0.0343)、就寝时间(β=0.106,P=0.042,R=0.045)和起床时间(β=0.174,P=0.015,R=0.028)。将睡眠质量差(PSQI≥5)与睡眠质量好(PSQI<5)进行比较,以睡眠质量好作为参照,除睡眠效率和助眠药物外(P>0.05),PSQI的五个组成部分显著下降:主观睡眠质量(β=-0.096,P<0.001);入睡潜伏期(β=-0.034,P<0.001);睡眠时间(β=-0.038,P<0.001);睡眠障碍(β=-1.234,P<0.001);以及睡眠功能障碍(β=-0.077,P<0.001)。因此,公共卫生政策制定者在制定关于智能手机使用的指南时,即何时、何地以及使用多少智能手机,应考虑到这一证据,以促进改善睡眠行为并降低睡眠-清醒节律紊乱的发生率。