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Systematic review and meta-analysis of epidemiology of internet addiction.
Neuroscience & Biobehavioral Reviews ( IF 7.5 ) Pub Date : 2020-08-25 , DOI: 10.1016/j.neubiorev.2020.08.013
Yuan-Chien Pan , Yu-Chuan Chiu , Yu-Hsuan Lin

Background

The field of internet addiction has experienced significant debates on conflicting epidemiology. This meta-analysis investigated the prevalence rates of generalized internet addiction (GIA) and internet gaming disorder (IGD).

Methods

We included 113 epidemiologic studies covering 693,306 subjects published from 1996 to 2018 (for 31 nations) that reported prevalence rates for GIA or IGD. We examined pooled prevalence of GIA and IGD and the hypothesized moderators including year, geographic regions, types of scales, and sample representativeness.

Results

All 133 effect sizes included 53,184 subjects with GIA or IGD. Weighted average prevalence for GIA and IGD were 7.02 % (95 % CI, 6.09 %–8.08 %) and 2.47 % (95 % CI, 1.46 %–4.16 %) respectively. For GIA, prevalence was increased over time and prevalence rates variated among different scales. IGD prevalence was neither moderated by year, regions, nor sample representativeness.

Conclusions

The prevalence of GIA was higher than the prevalence of IGD. The GIA prevalence was increasing over time and variated with different assessments. Our results reveal that GIA may reflect a pattern of increasing human-machine interaction.



中文翻译:

网络成瘾流行病学的系统评价和荟萃分析。

背景

网络成瘾领域在流行病学冲突方面经历了重大辩论。这项荟萃分析调查了普遍的网络成瘾(GIA)和网络游戏障碍(IGD)的患病率。

方法

我们纳入了1996年至2018年(针对31个国家/地区)发布的涵盖693,306名受试者的113项流行病学研究,这些研究报告了GIA或IGD的患病率。我们检查了GIA和IGD的汇总患病率以及假设的主持人,包括年份,地理区域,量表类型和样本代表性。

结果

所有133种效应大小都包括53184名GIA或IGD受试者。GIA和IGD的加权平均患病率分别为7.02%(95%CI,6.09%-8.08%)和2.47%(95%CI,1.46%-4.16%)。对于GIA,患病率随时间增加,患病率在不同规模之间有所不同。IGD患病率既未按年份,地区或样本代表性进行审核。

结论

GIA的患病率高于IGD的患病率。随着时间的推移,GIA患病率呈上升趋势,并随不同评估而变化。我们的结果表明,GIA可能反映了人机交互增加的模式。

更新日期:2020-09-10
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