Suppr超能文献

匈牙利在线游戏玩家中的网络成瘾与新冠疫情错误认知:一项横断面研究

Internet Addiction and COVID-19 Misbeliefs Among Hungarian Online Gamers: A Cross-Sectional Study.

作者信息

Nemes Annamaria, Szok Delia, Tibold Antal, Kosa Gabor, Kapus Krisztian, Berke Gyula, Banko Zoltan, Feher Gergely

机构信息

Department of Neurology, Szent-Györgyi Albert Medical School, University of Szeged, Szeged, 6720, Hungary.

Centre for Occupational Medicine, Medical School, University of Pécs, Pécs, 7627, Hungary.

出版信息

J Multidiscip Healthc. 2024 May 15;17:2351-2358. doi: 10.2147/JMDH.S451825. eCollection 2024.

Abstract

INTRODUCTION

The internet has become a part of everyday life, and during the COVID-19 pandemic the rate of internet use has raised even higher, which increases the possibility of compulsive and problematic use leading to the acceptance of online misbeliefs and conspiration theories. This cross-sectional study aimed to explore the relationship between COVID-19-related misconceptions and internet addiction among adult recreational online gamers.

METHODS

A sample of 1671 recreational video game users completed the online survey (male: n = 1522 (91.08%), mean age = 21.83, SD = 4.18; female: n = 149 (8.91%), mean age = 24.33, SD = 8.38). Demographic questions, risk factors and health-related questions, internet use and addiction were measured alongside a short questionnaire about common COVID-19-related topics, such as its origin and risk of infection.

RESULTS

Out of all participants 248 (14.8%) answered all the COVID-19-related questions properly, thus having no misconceptions, while 545 (32.6%) had one wrong answer, 532 (31.8%) had 2 wrong answers, 251 (15.0%) had 3 wrong answers, 78 (4.7%) had 4 wrong answers and 17 (1.0%) had 5 wrong answers. Significant factors to a higher number of COVID-misconceptions were time spent studying (χ2 (35,1671) = 63.86, p = 0.002), marital status (χ2 (15,1671) = 30.65 p = 0.01) and secondary employment (χ2 (51,671) = 14.88, p = 0.01). Although 17.1% of the participants reached the threshold score for internet addiction, the predictors of COVID-19 misconceptions were marital status (β = -0.06, p = 0.01) and time spent studying (β = 0.05, p = 0.03), while neither daily internet use, internet addiction scores or risk factors predicted these misconceptions in a linear regression model.

DISCUSSION

Our study concludes that Internet addiction did not directly influence misconceptions about the COVID-19 pandemic in this population despite the surprisingly high rate of problematic users.

摘要

引言

互联网已成为日常生活的一部分,在新冠疫情期间,互联网使用率甚至更高,这增加了强迫性和问题性使用的可能性,进而导致接受网上的错误观念和阴谋论。这项横断面研究旨在探讨成年休闲网络游戏玩家中与新冠疫情相关的误解和网络成瘾之间的关系。

方法

1671名休闲电子游戏用户样本完成了在线调查(男性:n = 1522(91.08%),平均年龄 = 21.83,标准差 = 4.18;女性:n = 149(8.91%),平均年龄 = 24.33, 标准差 = 8.38)。除了一份关于新冠疫情常见主题(如起源和感染风险)的简短问卷外,还测量了人口统计学问题、风险因素和健康相关问题、互联网使用和成瘾情况。

结果

在所有参与者中,248人(14.8%)正确回答了所有与新冠疫情相关的问题,因此没有误解,而545人(32.6%)有一个错误答案,532人(31.8%)有两个错误答案,251人(15.0%)有三个错误答案,78人(4.7%)有四个错误答案,17人(1.0%)有五个错误答案。导致新冠误解数量较多的显著因素是学习时间(χ2(35,1671) = 63.86, p = 0.002)、婚姻状况(χ2(15,1671) = 30.65, p = 0.01)和兼职工作(χ2(51,671) = 14.88, p = 0.01)。尽管17.1%的参与者达到了网络成瘾的阈值分数,但在一个线性回归模型中,新冠疫情误解的预测因素是婚姻状况(β = -0.06, p = 0.01)和学习时间(β = 0.05, p = 0.03),而每日互联网使用、网络成瘾分数或风险因素均未预测到这些误解。

讨论

我们的研究得出结论,尽管有问题用户的比例高得出奇,但在这一人群中,网络成瘾并没有直接影响对新冠疫情的误解。

相似文献

本文引用的文献

4
Factors underlying denial of and disbelief in COVID-19.否认和怀疑 COVID-19 的因素。
J Bras Pneumol. 2022 Sep 26;48(5):e20220228. doi: 10.36416/1806-3756/e20220228. eCollection 2022.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验