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中国青少年在新冠疫情期间网络行为的变化。

Changes of internet behavior of adolescents across the period of COVID-19 pandemic in China.

作者信息

Wu Qianying, Chen Tianzhen, Zhong Na, Bao Juwang, Zhao Yan, Du Jiang, Zhao Min

机构信息

Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Faculty of Humanities and Social Sciences, Beijing University of Technology, Beijing, China.

出版信息

Psychol Health Med. 2023 Jan;28(1):37-47. doi: 10.1080/13548506.2021.2019809. Epub 2022 Jan 4.

Abstract

During the COVID-19 pandemic, internet use and gaming of adolescents had been elevated. On the one hand, internet use and gaming in the period was a good approach to killing quarantined time. However, the increased use of the internet and game of adolescents may also increase the risk of internet addiction. This study aimed to describe the internet behavior changes of adolescents and to understand the impact of clinical features on internet addiction after the adolescents back to school in COVID-19 period. We conducted a cross-sectional cohort study using data collected through online investigation in China. Six hundred and twenty-five adolescents completed the online survey. Results indicated that internet addiction, having gaming use behaviors, Strengths and Difficulties Questionnaire (SDQ) Conduct subscale scores and the SDQ Prosocial subscale scores before the COVID-19 outbreak were significant in predicting the internet addiction after the adolescents back to school. The proportion of internet addiction and gaming behaviors among adolescents in China was changed across the COVID-19 pandemic. Clinical features before the COVID-19 pandemic could predict Internet addiction risk after the adolescents back to school.

摘要

在新冠疫情期间,青少年的互联网使用和游戏行为有所增加。一方面,这段时期的互联网使用和游戏是消磨隔离时间的好方法。然而,青少年互联网使用和游戏的增加也可能增加网络成瘾的风险。本研究旨在描述青少年的互联网行为变化,并了解新冠疫情期间青少年返校后临床特征对网络成瘾的影响。我们在中国通过在线调查收集数据进行了一项横断面队列研究。625名青少年完成了在线调查。结果表明,新冠疫情爆发前的网络成瘾、有游戏使用行为、长处与困难问卷(SDQ)行为分量表得分和SDQ亲社会行为分量表得分在预测青少年返校后的网络成瘾方面具有显著性。在中国,青少年中的网络成瘾和游戏行为比例在新冠疫情期间发生了变化。新冠疫情爆发前的临床特征可以预测青少年返校后的网络成瘾风险。

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