The aim of the current study is to evaluate the predictive influence of Big Five personality tra its, self-esteem, and time spent online in discriminating among a sample of university students classified as normal, mildly, and moderately addicted Internet users. Self-report measures were administered to 207 Italian university students aged 19 to 41 years. Results indicated no severe Internet addiction among the participants, but only a mild and moderate risk. Correlation analysis revealed a significant negative association between Internet addiction score and self-esteem. The discriminant analysis indicated two main functions that allow discrimination in terms of the influence of personality traits, self-esteem, and time spent online in three groups of participants. These results may have valid implications in assessing students engaged in intensive online activities, indicating that tailored approaches to their problems are particularly important in preventing the risk of Internet addiction disorder.

中文翻译：

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预测人格特质、自尊和上网时间对大学生不同程度网络成瘾风险影响的判别分析

本研究的目的是评估大五人格特质、自尊和上网时间对区分正常、轻度和中度成瘾互联网用户的大学生样本的预测影响。对 207 名 19 至 41 岁的意大利大学生进行了自我报告措施。结果表明参与者没有严重的网络成瘾，但只有轻度和中度的风险。相关分析显示网络成瘾评分与自尊之间存在显着的负相关。判别分析表明，有两个主要功能允许在三组参与者的人格特质、自尊和上网时间的影响方面进行歧视。