学习主义和健康结果:网瘾会产生影响吗?

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Danila Molinaro, Y. Loscalzo, Carmela Buono, Ludovica Del Giudice, Alessio Lustro, Chiara Ghislieri, P. Spagnoli
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引用次数: 0

摘要

最近,Loscalzo和Giannini提出整体性学习症可能是一种新的临床症状,并强调了其潜在的前因和结果。本研究旨在探讨网络成瘾在学习主义、学习疲劳和失眠之间的调节作用。318名意大利大学生(85.50%为女性;平均年龄= 22.98±4.34)在第三波疫情期间参加调查。采用Mplus 7结构方程模型对两种调节模型进行检验。研究结果表明,整体学习对学业疲劳和失眠均有显著的直接影响,同时也证实了网络成瘾在上述关系中的调节作用。虽然学习狂与结果之间存在线性关系,但在较低水平的网络成瘾中,学习狂对学习疲劳和失眠的影响大于中等和高水平的网络成瘾。基于这些发现,我们建议对报告失眠和学业疲惫的学生进行网络成瘾和学习狂的筛查,因为它们都可能导致这些负面的健康相关方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Studyholism and Health Outcomes: Could Internet Addiction Make the Difference?
Recently, Loscalzo and Giannini have proposed Studyholism as a possible new clinical condition, highlighting its potential antecedents and outcomes. The present study investigates the moderating role of Internet addiction in the relationship between Studyholism, academic exhaustion and insomnia. Three hundred and eighteen Italian university students (85.50% female; mean age = 22.98 ± 4.34) participated in the survey during the third wave of the COVID-19 pandemic. The two moderation models were tested using the structural equation model with Mplus 7. Results showed a significant direct effect of Studyholism on both academic exhaustion and insomnia and also confirmed the moderating role of Internet addiction in the aforementioned relationships. Although there is a linear relationship between Studyholism and the outcomes, at lower levels of Internet addiction, there is a greater effect of Studyholism on both academic exhaustion and insomnia than at medium and high levels of Internet addiction. Based on these findings, we suggest screening students who report insomnia and academic exhaustion for both Internet addiction and Studyholism, as they might both contribute to these negative health-related aspects.
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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