Department of General Psychology: Cognition, University of Duisburg-Essen Duisburg, Germany ; Erwin L. Hahn Institute for Magnetic Resonance Imaging Essen, Germany.
Department of General Psychology: Cognition, University of Duisburg-Essen Duisburg, Germany.
Front Psychol. 2014 Nov 11;5:1256. doi: 10.3389/fpsyg.2014.01256. eCollection 2014.
Internet addiction (IA) has become a serious mental health condition in many countries. To better understand the clinical implications of IA, this study tested statistically a new theoretical model illustrating underlying cognitive mechanisms contributing to development and maintenance of the disorder. The model differentiates between a generalized Internet addiction (GIA) and specific forms. This study tested the model on GIA on a population of general Internet users. The findings from 1019 users show that the hypothesized structural equation model explained 63.5% of the variance of GIA symptoms, as measured by the short version of the Internet Addiction Test. Using psychological and personality testing, the results show that a person's specific cognitions (poor coping and cognitive expectations) increased the risk for GIA. These two factors mediated the symptoms of GIA if other risk factors were present such as depression, social anxiety, low self-esteem, low self-efficacy, and high stress vulnerability to name a few areas that were measured in the study. The model shows that individuals with high coping skills and no expectancies that the Internet can be used to increase positive or reduce negative mood are less likely to engage in problematic Internet use, even when other personality or psychological vulnerabilities are present. The implications for treatment include a clear cognitive component to the development of GIA and the need to assess a patient's coping style and cognitions and improve faulty thinking to reduce symptoms and engage in recovery.
网络成瘾(IA)已成为许多国家严重的心理健康问题。为了更好地了解 IA 的临床意义,本研究通过统计检验,对一个新的理论模型进行了测试,该模型说明了导致该障碍发展和维持的潜在认知机制。该模型将一般性网络成瘾(GIA)和特定形式的网络成瘾区分开来。本研究在一般互联网用户群体中对 GIA 进行了模型测试。对 1019 名用户的研究结果表明,所假设的结构方程模型解释了 GIA 症状的 63.5%的方差,该模型由网络成瘾测试的简短版本来衡量。通过心理和人格测试,结果表明,一个人的特定认知(应对能力差和认知期望)增加了 GIA 的风险。如果存在其他风险因素,例如抑郁、社交焦虑、低自尊、低自我效能和高压力易感性等,这两个因素会导致 GIA 症状。该模型表明,应对能力强且不期望互联网可以增加积极情绪或减轻负面情绪的个体不太可能从事有问题的互联网使用,即使存在其他人格或心理脆弱性。治疗的意义包括对 GIA 发展的明确认知成分,以及需要评估患者的应对方式和认知,并改善错误思维,以减轻症状并参与康复。