Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing 100191, PR China.
Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing 100191, PR China.
J Affect Disord. 2024 Nov 15;365:501-508. doi: 10.1016/j.jad.2024.08.069. Epub 2024 Aug 22.
With the number of internet users booming, problematic internet use (PIU) has become a public health threat. This study aims to figure out the inter-relationships between PIU symptoms and personality traits with network-based analysis among young people and to discuss the gender difference in the above networks.
Based on a national cross-sectional study in 2022, 4655 Chinese adolescents and young adults aged 14 to 25 were included. We adopted the 6-item Short-Form Problematic Internet Use Questionnaire (PIUQ-SF-6) and the 10-item version of the Big Five Inventory (BFI-10) to measure PIU and personality traits, respectively. Network analysis was used to identify influential nodes and edges and compare the network models between male and female participants.
The mean age of 4655 participants was 19.84, and 52.1 % (2424) of them were females. There are differences in age and gender between participants with and without PIU (P < 0.05). The network of personality and PIU showed that 22 out of the 28 edges were estimated to be nonzero, and "obsession-neuroticism" was the strongest positive edge between the two communities. Central symptoms (i.e., "obsession" and "control disorder") and bridge symptoms (i.e., "obsession" and "neuroticism") have been identified. Gender differences existed in network global strength: female = 3.71, male = 3.18 (p < 0.001).
The cross-sectional study needs more evidence to build causal inference.
The results of PIU-personality networks may contribute to the personalized prevention and treatment of PIU. The gender difference in PIU-personality networks also requires more attention and discussion.
随着互联网用户数量的激增，网络成瘾问题已成为公共健康威胁。本研究旨在通过网络分析探讨青少年网络成瘾症状与人格特质之间的相互关系，并讨论上述网络中存在的性别差异。
本研究基于 2022 年的一项全国性横断面研究，纳入了 4655 名 14 至 25 岁的中国青少年和年轻人。我们采用 6 项简短网络成瘾问卷（PIUQ-SF-6）和 10 项大五人格量表（BFI-10）分别测量网络成瘾和人格特质。采用网络分析识别有影响力的节点和边缘，并比较男性和女性参与者的网络模型。
4655 名参与者的平均年龄为 19.84 岁，其中 52.1%（2424 名）为女性。有网络成瘾和无网络成瘾的参与者在年龄和性别上存在差异（P<0.05）。人格和网络成瘾的网络显示，28 条边中有 22 条被估计为非零边，两个社区之间最强的正边是“痴迷-神经质”。已确定中心症状（即“痴迷”和“控制障碍”）和桥接症状（即“痴迷”和“神经质”）。网络全局强度存在性别差异：女性=3.71，男性=3.18（p<0.001）。
横断面研究需要更多证据来建立因果关系。
网络成瘾-人格网络的结果可能有助于网络成瘾的个性化预防和治疗。网络成瘾-人格网络中的性别差异也需要更多的关注和讨论。
