Liu Tzu-Hsuan, Xia Yiwei, Ma Zhihao
School of Political Science and Public Administration, Huaqiao University, Quanzhou, 362021, China.
School of Law, Southwestern University of Finance and Economics, Chengdu, 611130, China.
Psychiatr Q. 2025 Jul 21. doi: 10.1007/s11126-025-10196-w.
The study aims to investigate patterns of relationships between emerging adult workers' personality traits, online activities, mental health symptoms, and problematic internet use (PIU) prior to and throughout the coronavirus pandemic grounded in the principles of the I-PACE model. The research analyzed pre-pandemic and mid-pandemic data from 17,475 Great British Intelligence Test emerging adult workers through state-of-the-art methods (e.g., psychological network analysis and Bayesian network modeling). Findings suggested that the overall patterns predicting PIU before and during the pandemic were different. "Neuroticism" was the central personal feature of predicting PIU in both epochs. PIU was not directly linked to any online activities but linked to "Neuroticism" via the mediation of mental health symptoms before the pandemic. However, several links from online activity (e.g., shopping, searching, and viewing films or listening to music) to PIU were positive during the pandemic. Potential practical implications related to public health issues are discussed in the study.
本研究旨在依据I-PACE模型的原则,调查在冠状病毒大流行之前及整个期间,新兴成年工作者的人格特质、网络活动、心理健康症状和网络使用问题(PIU)之间的关系模式。该研究通过先进方法(如心理网络分析和贝叶斯网络建模),分析了来自17475名参加英国智力测试的新兴成年工作者的大流行前和大流行中期的数据。研究结果表明,在大流行之前和期间预测PIU的总体模式有所不同。“神经质”是两个时期预测PIU的核心个人特征。PIU与任何网络活动均无直接关联,但在大流行之前,通过心理健康症状的中介作用与“神经质”相关联。然而,在大流行期间,从网络活动(如购物、搜索、观看电影或听音乐)到PIU的若干联系呈正向。该研究讨论了与公共卫生问题相关的潜在实际影响。