与社区青少年使用问题互联网的个人症状有关的网络结构和聚类分析。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-04-12 DOI:10.1159/000535677
Hyu Seok Jeong, Hillary Mi-Sung Kim, Kyoung Min Kim
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引用次数: 0

摘要

简介问题性网络使用(PIU)是一种包括多种症状和心理结构的精神病理学。由于还没有研究考虑过韩国青少年群体中 PIU 的网络结构和单个症状之间的聚类,本研究旨在调查青少年 PIU 症状的网络结构和聚类。PIU 的严重程度使用由 20 个项目和 6 个分量表(即青少年网络成瘾倾向量表-简表;KS 量表)组成的自评量表进行评估。采用高斯图形模型和探索性图形分析法分别分析了症状之间的网络结构和聚类。结果我们的研究发现了四个集群:适应功能紊乱、虚拟人际关系、戒断和耐受。自信症状是连接虚拟人际关系集群、戒断集群和适应功能障碍集群的节点。该研究确定了青少年 PIU 症状的网络结构和聚类,并揭示了源自网络人际关系的积极体验是 PIU 的重要基础机制。从 KS 量表 PIU 评估的角度来看,这些都是关于青少年 PIU 机制的多种症状之间的相互联系和相关聚类的新见解。
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Network Structure and Clustering Analysis Relating to Individual Symptoms of Problematic Internet Use in a Community Adolescent Population.
INTRODUCTION Problematic internet use (PIU) is a psychopathology that includes multiple symptoms and psychological constructs. Because no studies have considered both network structures and clusters among individual symptoms in the context of PIU in a Korean adolescent population, this study aimed to investigate network structures and clustering in relation to PIU symptoms in adolescents. METHODS Overall, 73,238 adolescents were included. PIU severity was assessed using a self-rating scale comprising 20 items and 6 subscales, namely, the Internet Addiction Proneness Scale for Youth-Short Form; KS scale. Network structures and clusters among symptoms were analyzed using a Gaussian graphical model and exploratory graph analysis, respectively. Centrality of strength, closeness, and betweenness scores was also calculated. RESULTS Our study identified four clusters: disturbance in adaptive functioning, virtual interpersonal relationships, withdrawal, and tolerance. The symptom of confidence served as a node bridging the cluster of virtual interpersonal relationships and other clusters of withdrawal and disturbances of adaptive function. The symptom of craving served as a bridge between the clusters of withdrawal and tolerance with high betweenness centrality. CONCLUSION This study identified network structures and clustering among PIU symptoms in adolescents and revealed that positive experiences derived from online interpersonal relationships were an important mechanism underlying PIU. These are novel insights concerning the interconnection among multiple symptoms and related clustering for the mechanism of adolescent PIU in terms of KS-scale PIU assessment.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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