Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Departments of Psychiatry and Neuroscience and the Child Study Center, School of Medicine, Yale University, New Haven, CT 06511, USA.
Int J Environ Res Public Health. 2020 Mar 13;17(6):1879. doi: 10.3390/ijerph17061879.
Internet gaming and social media use are prevalent and integral to many people's lives. However, excessive engagement in either could lead to negative health impacts. This study aimed to investigate relationships between severities of internet gaming disorder (IGD) and problematic social media use (operationalized as social media addiction; SMA) with sleep quality and psychological distress among young adults. A cross-sectional study with snowball sampling was conducted among Hong Kong university students in 2019. All participants ( = 300; mean (SD) age = 20.89 (1.48); 122 males (40.67%)) responded to an online survey that included Chinese versions of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF), Bergen Social Media Addiction Scale (BSMAS), Pittsburgh Sleep Quality Index (PSQI), and Depression Anxiety Stress Scales (DASS-21). Multiple linear regressions demonstrated that IGDS-SF9 scores demonstrated associations with psychological distress measures (standardized coefficient (β) = 0.295 for depression, 0.325 for anxiety, 0.339 for stress, all < 0.001). BSMAS scores showed similar albeit numerically less robust associations (β = 0.235 for depression, < 0.001; 0.219 for anxiety, = 0.001; 0.262 for stress, < 0.001). BSMAS scores demonstrated associations with poorer sleep quality (β = 0.292; < 0.001) and IGDS9-SF scores (β = 0.157; = 0.024) showed a significantly less robust association ( = 0.01 for comparing the two βs). These findings suggest that both severities of IGD and SMA associate with more psychological distress and poorer sleep quality, although the strengths of associations may differ.
互联网游戏和社交媒体的使用在许多人的生活中普遍存在且不可或缺。然而,过度参与其中任何一项都可能对健康产生负面影响。本研究旨在调查互联网游戏障碍(IGD)和社交媒体使用问题(操作性定义为社交媒体成瘾;SMA)的严重程度与年轻人睡眠质量和心理困扰之间的关系。2019 年,采用滚雪球抽样法对香港大学生进行了横断面研究。所有参与者(n=300;平均(SD)年龄=20.89(1.48);122 名男性(40.67%))对在线调查做出回应,该调查包括中文版本的互联网游戏障碍量表-短式(IGDS9-SF)、卑尔根社交媒体成瘾量表(BSMAS)、匹兹堡睡眠质量指数(PSQI)和抑郁焦虑压力量表(DASS-21)。多元线性回归表明,IGDS-SF9 得分与心理困扰测量指标相关(抑郁的标准化系数(β)=0.295,焦虑的 β=0.325,压力的 β=0.339,均 <0.001)。BSMAS 得分显示出类似的关联,但关联程度略弱(抑郁的 β=0.235, <0.001;焦虑的 β=0.219,=0.001;压力的 β=0.262, <0.001)。BSMAS 得分与睡眠质量较差相关(β=0.292; <0.001),而 IGDS9-SF 得分(β=0.157;=0.024)的关联程度明显较弱(比较两个β值的差异为 0.01)。这些发现表明,IGD 和 SMA 的严重程度均与更多的心理困扰和较差的睡眠质量相关,尽管关联的强度可能不同。