Senormancı Omer, Konkan Ramazan, Güçlü Oya, Senormancı Güliz
Department of Psychiatry, School of Medicine, Bülent Ecevit University, Zonguldak, Turkey,
Psychiatr Danub. 2014 Mar;26(1):39-45.
'Internet addiction' is excessive computer use that interferes with daily life of a person. We designed this study in order to evaluate the predictor effect of depression, loneliness, anger and interpersonal relationship styles for internet addiction as well as develop a model.
Forty (40) male internet addicted patients were selected from our hospital's internet Addiction Outpatient Clinic. During the study, the Internet Addiction Test (IAT), the Beck Depression Inventory (BDI), the State Trait Anger Expression Scale (STAXI), the UCLA-Loneliness Scale (UCLA-LS), and the Interpersonal Relationship Styles Scale (IRSS) were used for the evaluation of the patients.
The results of this study showed that the 'duration of internet use' (B=2.353, p=0.01) and STAXI 'anger in' subscale (B=1.487, p=0.01) were the predictors of internet addiction.
When the clinicians suspect for the internet overuse, regulation of internet usage might be helpful. Psychiatric treatments for expressing anger and therapies that focus on validation of the feelings may be useful.
“网络成瘾”是指过度使用电脑，干扰个人日常生活。我们开展这项研究，旨在评估抑郁、孤独、愤怒及人际关系模式对网络成瘾的预测作用，并建立一个模型。
从我院网络成瘾门诊选取40名男性网络成瘾患者。研究期间，使用网络成瘾测试（IAT）、贝克抑郁量表（BDI）、状态-特质愤怒表达量表（STAXI）、加州大学洛杉矶分校孤独量表（UCLA-LS）及人际关系模式量表（IRSS）对患者进行评估。
本研究结果显示，“上网时长”（B = 2.353，p = 0.01）和STAXI“愤怒内化”分量表（B = 1.487，p = 0.01）是网络成瘾的预测因素。
当临床医生怀疑存在网络过度使用情况时，规范网络使用可能会有所帮助。针对愤怒表达的心理治疗以及专注于情感确认的疗法可能会有用。
