Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Qazvin, Iran.
Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Sleep Med Rev. 2019 Oct;47:51-61. doi: 10.1016/j.smrv.2019.06.004. Epub 2019 Jul 4.
The pathological use of the internet - conceptualized as 'internet addiction' - might be crucial in initiating and increasing sleep disturbances in the community. While inconsistent evidence is reported regarding the association of internet addiction and sleep disturbances, the severity of this association remains unclear. This systematic review and meta-analysis were conducted to increase our understanding of the relationship between internet addiction and sleep disturbances. A systematic review was conducted through Scopus, PubMed Central, ProQuest, ISI Web of Knowledge, and EMBASE using keywords related to internet addiction and sleep problems. Observational studies (cohort, case-control or cross-sectional studies) focusing on association between internet addiction and sleep disturbances including sleep problems and sleep duration were selected. A meta-analysis using random-effect model was conducted to calculate the odds ratio (OR) for experiencing sleep problems and standardized mean differences (SMDs) for sleep duration. Eligible studies (N = 23) included 35,684 participants. The overall pooled OR of having sleep problems if addicted to the internet was 2.20 (95% CI: 1.77-2.74). Additionally, the overall pooled SMDs for sleep duration for the IA group compared to normal internet users was -0.24 (95% CI: -0.38, -0.10). Results of the meta-analysis revealed a significant OR for sleep problems and a significant reduced sleep duration among individuals addicted to the internet.
病理性使用互联网——概念化为“网络成瘾”——可能是引发和增加社区睡眠障碍的关键。尽管关于网络成瘾与睡眠障碍之间的关联存在不一致的证据,但这种关联的严重程度尚不清楚。本系统评价和荟萃分析旨在增进我们对网络成瘾与睡眠障碍之间关系的理解。通过 Scopus、PubMed Central、ProQuest、ISI Web of Knowledge 和 EMBASE 检索与网络成瘾和睡眠问题相关的关键词,进行系统评价。选择了关注网络成瘾与睡眠障碍(包括睡眠问题和睡眠时间)之间关联的观察性研究(队列、病例对照或横断面研究)。使用随机效应模型进行荟萃分析,计算出现睡眠问题的优势比(OR)和睡眠时间的标准化均数差(SMD)。纳入的研究(N=23)共包括 35684 名参与者。如果沉迷于互联网,出现睡眠问题的总体合并 OR 为 2.20(95%CI:1.77-2.74)。此外,与正常互联网使用者相比,IA 组的睡眠时间总体合并 SMD 为-0.24(95%CI:-0.38,-0.10)。荟萃分析结果显示,网络成瘾者出现睡眠问题的 OR 显著,睡眠时间明显减少。