Caught in the web: a meta-analysis of Internet addiction, excessive daytime sleepiness and depressive symptoms in adolescents

Hassam Waheed, Peter J. R. Macaulay, Hamdan Amer Ali Al-Jaifi, Kelly-Ann Allen, Long She
{"title":"Caught in the web: a meta-analysis of Internet addiction, excessive daytime sleepiness and depressive symptoms in adolescents","authors":"Hassam Waheed, Peter J. R. Macaulay, Hamdan Amer Ali Al-Jaifi, Kelly-Ann Allen, Long She","doi":"10.1108/itp-07-2023-0676","DOIUrl":null,"url":null,"abstract":"PurposeIn response to growing concerns over the negative consequences of Internet addiction on adolescents’ mental health, coupled with conflicting results in this literature stream, this meta-analysis sought to (1) examine the association between Internet addiction and depressive symptoms in adolescents, (2) examine the moderating role of Internet freedom across countries, and (3) examine the mediating role of excessive daytime sleepiness.Design/methodology/approachIn total, 52 studies were analyzed using robust variance estimation and meta-analytic structural equation modeling.FindingsThere was a significant and moderate association between Internet addiction and depressive symptoms. Furthermore, Internet freedom did not explain heterogeneity in this literature stream before and after controlling for study quality and the percentage of female participants. In support of the displacement hypothesis, this study found that Internet addiction contributes to depressive symptoms through excessive daytime sleepiness (proportion mediated = 17.48%). As the evidence suggests, excessive daytime sleepiness displaces a host of activities beneficial for maintaining mental health. The results were subjected to a battery of robustness checks and the conclusions remain unchanged.Practical implicationsThe results underscore the negative consequences of Internet addiction in adolescents. Addressing this issue would involve interventions that promote sleep hygiene and greater offline engagement with peers to alleviate depressive symptoms.Originality/valueThis study utilizes robust meta-analytic techniques to provide the most comprehensive examination of the association between Internet addiction and depressive symptoms in adolescents. The implications intersect with the shared interests of social scientists, health practitioners, and policy makers.","PeriodicalId":504906,"journal":{"name":"Information Technology & People","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Technology & People","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/itp-07-2023-0676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

PurposeIn response to growing concerns over the negative consequences of Internet addiction on adolescents’ mental health, coupled with conflicting results in this literature stream, this meta-analysis sought to (1) examine the association between Internet addiction and depressive symptoms in adolescents, (2) examine the moderating role of Internet freedom across countries, and (3) examine the mediating role of excessive daytime sleepiness.Design/methodology/approachIn total, 52 studies were analyzed using robust variance estimation and meta-analytic structural equation modeling.FindingsThere was a significant and moderate association between Internet addiction and depressive symptoms. Furthermore, Internet freedom did not explain heterogeneity in this literature stream before and after controlling for study quality and the percentage of female participants. In support of the displacement hypothesis, this study found that Internet addiction contributes to depressive symptoms through excessive daytime sleepiness (proportion mediated = 17.48%). As the evidence suggests, excessive daytime sleepiness displaces a host of activities beneficial for maintaining mental health. The results were subjected to a battery of robustness checks and the conclusions remain unchanged.Practical implicationsThe results underscore the negative consequences of Internet addiction in adolescents. Addressing this issue would involve interventions that promote sleep hygiene and greater offline engagement with peers to alleviate depressive symptoms.Originality/valueThis study utilizes robust meta-analytic techniques to provide the most comprehensive examination of the association between Internet addiction and depressive symptoms in adolescents. The implications intersect with the shared interests of social scientists, health practitioners, and policy makers.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
网瘾:青少年网瘾、白天过度嗜睡和抑郁症状的荟萃分析
目的由于人们越来越关注网络成瘾对青少年心理健康的负面影响,加上该文献流中的结果相互矛盾,因此本荟萃分析旨在:(1)研究青少年网络成瘾与抑郁症状之间的关系;(2)研究各国网络自由度的调节作用;(3)研究白天过度嗜睡的中介作用。研究结果网瘾与抑郁症状之间存在显著的中度关联。此外,在控制研究质量和女性参与者比例前后,网络自由度并不能解释文献流中的异质性。为支持移位假设,本研究发现,网瘾通过白天过度嗜睡导致抑郁症状(介导比例 = 17.48%)。证据表明,白天过度嗜睡会取代一系列有益于保持心理健康的活动。这些结果经过了一系列稳健性检验,结论保持不变。要解决这一问题,就需要采取干预措施,促进睡眠卫生,并加强与同伴的线下接触,以缓解抑郁症状。原创性/价值本研究采用了强大的元分析技术,对青少年网络成瘾与抑郁症状之间的关联进行了最全面的研究。其影响与社会科学家、健康从业者和政策制定者的共同利益相互交叉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Diversity of digital media exposure, information verification and vaccination intention: an empirical study in China Diversity of digital media exposure, information verification and vaccination intention: an empirical study in China Assessing factors influencing intentions to use cryptocurrency payments in the hospitality sector Artificial intelligence and work transformations: integrating sensemaking and workplace learning perspectives Understanding experiences of adverse digital incorporation of ridesharing drivers in Bangladesh
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1