Association of Screen Time with Anxiety and Depressive Symptoms in College Students During COVID-19 Outbreak in Shanghai: Mediation Role of Sleep Quality.

IF 4.2 2区 心理学 Q1 PSYCHOLOGY, SOCIAL Cyberpsychology, behavior and social networking Pub Date : 2023-10-01 Epub Date: 2023-09-20 DOI:10.1089/cyber.2022.0373
Yiting Liu, Yishan Sun, Kefeng Zheng, Jiaxin Zheng, Lingxuan Kong, Jianping Gu, Tao Huang
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Abstract

The study aimed to investigate the associations between different types of screen time (ST) and anxiety and depressive symptoms in college students during the Coronavirus disease 2019 (COVID-19) outbreak in Shanghai, China; the potential mediation role of sleep quality was also examined. A total of 1,550 college students completed an online survey in May 2022. ST, Self-rating Anxiety Scale (SAS) score, Self-rating Depression Scale (SDS) score, Pittsburgh Sleep Quality Index (PSQI) score, and physical activity were self-reported. Multiple linear regression and mediation analysis were conducted. The results showed that more time spent in TV/movie viewing (>2 h/day) and recreational reading (>1 h/day) was associated with higher levels of anxiety, while more time spent in online social media (>2 h/day) was associated with a higher level of depressive symptoms. In contrast, time spent in online social media (1-2 h/day) was associated with a lower level of anxiety. Meanwhile, recreational reading (2-3 h/day) had a significant indirect effect on anxiety and depressive symptoms through sleep quality. During the COVID-19 outbreak, the associations of ST with anxiety and depressive symptoms varied by the type of screen viewing in college students. The associations of slightly excessive time spent on recreational reading with higher levels of anxiety and depressive symptoms were partially mediated by sleep quality.

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新冠肺炎疫情期间筛查时间与大学生焦虑和抑郁症状的关系:睡眠质量的中介作用。
本研究旨在调查2019冠状病毒病(新冠肺炎)在中国上海爆发期间,不同类型的筛查时间(ST)与大学生焦虑和抑郁症状之间的关系;睡眠质量的潜在中介作用也得到了检验。2022年5月,共有1550名大学生完成了一项在线调查。自我报告ST、焦虑自评量表(SAS)评分、抑郁自评量量表(SDS)评分、匹兹堡睡眠质量指数(PSQI)评分和体育活动。进行多元线性回归和中介分析。结果显示,花在看电视/电影上的时间更多(>2 h/天)和娱乐性阅读(>1 h/天)与更高水平的焦虑有关,而花在在线社交媒体上的时间更多(>2 h/天)与较高水平的抑郁症状相关。相比之下,花在在线社交媒体上的时间(1-2 h/天)与较低的焦虑水平相关。同时,娱乐性阅读(2-3 h/天)通过睡眠质量对焦虑和抑郁症状有显著的间接影响。在新冠肺炎爆发期间,ST与焦虑和抑郁症状的关联因大学生观看屏幕的类型而异。花在娱乐性阅读上的时间稍长与较高水平的焦虑和抑郁症状之间的联系部分是由睡眠质量介导的。
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来源期刊
CiteScore
9.60
自引率
3.00%
发文量
123
期刊介绍: Cyberpsychology, Behavior, and Social Networking is a leading peer-reviewed journal that is recognized for its authoritative research on the social, behavioral, and psychological impacts of contemporary social networking practices. The journal covers a wide range of platforms, including Twitter, Facebook, internet gaming, and e-commerce, and examines how these digital environments shape human interaction and societal norms. For over two decades, this journal has been a pioneering voice in the exploration of social networking and virtual reality, establishing itself as an indispensable resource for professionals and academics in the field. It is particularly celebrated for its swift dissemination of findings through rapid communication articles, alongside comprehensive, in-depth studies that delve into the multifaceted effects of interactive technologies on both individual behavior and broader societal trends. The journal's scope encompasses the full spectrum of impacts—highlighting not only the potential benefits but also the challenges that arise as a result of these technologies. By providing a platform for rigorous research and critical discussions, it fosters a deeper understanding of the complex interplay between technology and human behavior.
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