With a novel multilingual approach, this cross-cultural meta-analysis study investigated the associations between personality traits and Internet addiction. Articles were identified and retrieved by searching through general and language-specific databases, and thereafter reviewed for inclusion based on the selection criteria. Random effects models with the Hartung–Knapp–Sidik–Jonkman method were used to examine the associations of Internet addiction with seven personality traits: Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism, Psychoticism, and Lie (OCEAN-PL). Forest plots with summary statistics were produced to inspect the between-study heterogeneity. Subgroup analysis was performed to further determine the contributions of moderators (geographic region, population subgroup, scales for assessing personality traits and Internet addiction, and language of publication) to the observed between-study heterogeneity. Funnel plots and Egger's test were used to detect possible small-study effects. A sample of 34,438 participants from 37 studies (24 from Asia) were included for data analysis. The major languages of publications of the selected articles were English and Asian languages. According to the pooled results, Internet addiction was associated positively with Neuroticism and Psychoticism, but negatively with Conscientiousness, Extraversion, Agreeableness, and Lie. Geographic region and language of publication significantly moderated the associations of Internet addiction with Agreeableness and Neuroticism, and Openness and Extraversion, respectively. No significant small-study effect was present for all OCEAN-PL personality traits, except Neuroticism. In conclusion, the Internet addiction group is relatively more neurotic and psychotic, and less conscientious, extraverted, agreeable, and untruthful than the nonaddiction group. A multilingual approach is useful for improving the search strategies for systematic reviews, cross-cultural meta-analyses in particular.

中文翻译：

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人格特质与网络成瘾的关联：多语言方法的跨文化元分析

这项跨文化元分析研究采用新颖的多语言方法，调查了人格特质与网络成瘾之间的关联。通过搜索通用和特定语言的数据库来识别和检索文章，然后根据选择标准对其进行审查以纳入。使用 Hartung-Knapp-Sidik-Jonkman 方法的随机效应模型来检查网络成瘾与七个人格特征的关联：开放性、尽责性、外向性、宜人性、神经质、精神病性和谎言（OCEAN-PL）。制作带有汇总统计数据的森林图以检查研究间的异质性。进行亚组分析以进一步确定调节因子的贡献（地理区域、人口亚组、用于评估人格特征和网络成瘾以及出版语言的量表）到观察到的研究间异质性。漏斗图和 Egger 检验用于检测可能的小型研究效果。包括来自 37 项研究（24 名来自亚洲）的 34,438 名参与者的样本进行数据分析。入选文章的主要出版物语言为英语和亚洲语言。根据汇总结果，网络成瘾与神经质和精神病性呈正相关，但与尽责性、外向性、宜人性和谎言呈负相关。地理区域和出版语言分别显着调节了网络成瘾与宜人性和神经质以及开放性和外向性的关联。除神经质外，所有 OCEAN-PL 人格特征均不存在显着的小型研究效果。综上所述，网络成瘾组比非成瘾组更神经质和精神病，不那么认真、外向、随和、不诚实。多语言方法有助于改进系统评价的搜索策略，尤其是跨文化​​荟萃分析。