1Research Department, Medical Mind Association, Yaoundé, Cameroon.
2Psychiatry Internship Program, University of Burgundy, 21000, Dijon, France.
J Behav Addict. 2022 Aug 19;11(3):739-753. doi: 10.1556/2006.2022.00052. Print 2022 Sep 26.
BACKGROUND AND AIM: In the last two decades, the proportion of internet users has greatly increased worldwide. Data regarding internet addiction (IA) are lacking in Africa compared to other continents. This systematic review and meta-analysis aimed to estimate the pooled prevalence of IA in African countries. METHODS: We systematically sought relevant articles in PubMed/MEDLINE, EMBASE, PsycINFO and Cochrane database published before September 25, 2021. The risk of bias was assessed using the Joanna Briggs Institute tool, and we estimated the pooled prevalence of IA using a random-effects meta-analytic model. We followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. RESULTS: We included 22 studies (13,365 participants), and collected data from Egypt, Ethiopia, Morocco, Nigeria, South Africa, Tanzania and Tunisia between 2013 and 2021. The mean age of participants ranged from 14.8 to 26.1 years, and the most used tool for IA screening was the Young's 20-item Internet Addiction Test. The pooled prevalence rate of IA was 40.3% (95% CI: 32.2%-48.7%), with substantial heterogeneity. The pooled prevalence for Northern Africa was 44.6% (95% CI: 32.9%-56.7%), significantly higher than the prevalence in sub-Saharan Africa, which was 31.0% (95% CI: 25.2%-37.1%). The risk of bias was moderate for most studies, the certainty was very low, and we found no publication bias. DISCUSSION AND CONCLUSIONS: Four in every ten individuals was considered to have IA in Africa. Further research with methodological optimization seems needed, especially for IA screening tools and the representativity of some subregions.
背景与目的:在过去的二十年中,全世界互联网用户的比例大大增加。与其他大洲相比,非洲缺乏关于网络成瘾(IA)的数据。本系统评价和荟萃分析旨在估计非洲国家 IA 的总体流行率。
方法:我们系统地在 PubMed/MEDLINE、EMBASE、PsycINFO 和 Cochrane 数据库中搜索了截至 2021 年 9 月 25 日之前发表的相关文章。使用 Joanna Briggs 研究所工具评估偏倚风险,并使用随机效应荟萃分析模型估计 IA 的总体流行率。我们遵循系统评价和荟萃分析的首选报告项目指南。
结果:我们纳入了 22 项研究(13365 名参与者),数据来自 2013 年至 2021 年间的埃及、埃塞俄比亚、摩洛哥、尼日利亚、南非、坦桑尼亚和突尼斯。参与者的平均年龄范围为 14.8 至 26.1 岁,最常用的 IA 筛查工具是 Young 的 20 项互联网成瘾测试。IA 的总体流行率为 40.3%(95%CI:32.2%-48.7%),存在很大的异质性。北非的总体流行率为 44.6%(95%CI:32.9%-56.7%),显著高于撒哈拉以南非洲的 31.0%(95%CI:25.2%-37.1%)。大多数研究的偏倚风险为中度,确定性为极低,且未发现发表偏倚。
讨论与结论:在非洲,每四个人中就有一个被认为患有 IA。似乎需要进一步进行方法优化的研究,特别是针对 IA 筛查工具和一些次区域的代表性。
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