青少年心境情感障碍患者网络成瘾潜在剖面分析及影响因素研究
朱群 , 梁迎洁 , 王彬 , 曾财燕 , 焦淑芬
武汉大学学报(医学版) ›› 2026, Vol. 47 ›› Issue (7) : 954 -961.
青少年心境情感障碍患者网络成瘾潜在剖面分析及影响因素研究
Latent profile analysis and influencing factors study on internet addiction in adolescent patients with emotional disorders
目的:探讨青少年心境情感障碍患者网络成瘾的潜在类别特征及其影响因素,为临床干预提供依据。方法:采用便利抽样法,选取2024年12月—2025年3月湖北省某三甲专科医院243例8~18岁心境情感障碍患者作为调查对象。使用网络成瘾量表(IAT)、认知情绪调节策略问卷(CERQ)及汉密尔顿焦虑量表(HAS)进行评估。通过潜在剖面分析(LPA)识别网络成瘾的潜在类别,并采用多元Logistic回归分析影响因素。结果:青少年心境情感障碍患者的网络成瘾行为可分为3类:低水平网络使用组(34.7%,IAT=38.2±6.5)、中水平网络使用组(42.7%,IAT=52.4±8.1)和高水平网络使用组(22.6%,IAT=71.8±9.3)。回归分析显示,非适应性认知情绪调节策略、高焦虑水平、年龄12~18岁、城市生源地为风险因素;适应性认知情绪调节策略为保护性因素。结论:青少年心境情感障碍患者的网络成瘾存在异质性,与情绪调节策略及焦虑水平密切相关。临床干预需针对不同类别制定分层策略,重点提升适应性情绪调节能力并缓解焦虑。
Objective: To explore the potential category characteristics and influencing factors of internet addiction in adolescents with emotional disorders, and to provide a basis for clinical psychological intervention. Methods: A convenience sampling method was adopted to select 243 patients aged 8 to 18 years with emotional disorders from a tertiary specialized hospital in Hubei Province, China, from December 2024 to March 2025 as the survey subjects. The Internet Addiction Test (IAT), Cognitive Emotion Regulation Questionnaire (CERQ), and Hamilton Anxiety Scale (HAS) were used for assessment. Latent profile analysis (LPA) was employed to identify potential categories of internet addiction, and multivariate Logistic regression analysis was conducted to explore influencing factors. Results: The internet addiction behaviors of adolescents with emotional disorders can be categorized into three groups: low-level internet use group (34.7%, IAT=38.2±6.5), moderate-level internet use group (42.7%, IAT=52.4±8.1), and high-level internet use group (22.6%, IAT=71.8±9.3). Regression analysis revealed that maladaptive cognitive emotion regulation strategies, high levels of anxiety, age 12-18 years, and an urban birthplace were risk factors; conversely, adaptive cognitive emotion regulation strategies emerged as a protective factor. Conclusion: Internet addiction among adolescents with emotional disorders exhibits heterogeneity and is closely related to emotional regulation strategies and anxiety levels. Clinical interventions should adopt a tiered approach tailored to different categories, with a focus on enhancing adaptive emotional regulation abilities and alleviating anxiety.
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