网络成瘾青少年网络行为特点及心理风险因素探析

Analysis of online behavior characteristics and psychological risk factors of adolescents suffered internet addiction

目的探讨网络成瘾青少年网络行为特点及心理风险因素。方法抽取2014年9月至2015年3月在北京军区总医院青少年心理成长基地接受治疗的患者60例(实验组),及同期北京市某中学学生60名(对照组),均给予网络成瘾诊断问卷、网络行为问卷及UCLA孤独量表等调查,对比两组青少年的调查数据。结果实验组平均每天上网次数、每周上网次数、在线时间等均高于对照组,差异明显(P<0.05);网络消极评价、行为倾向上,差异明显(P<0.05);网络情感方面,实验组上网焦虑及网络满意度评分显著高于对照组,差异明显(P<0.05);Logistic回归分析显示,孤独感、内控性、是否独生子女、网络满意度及平均每天在线时间、单次在线时间可预测青少年是否网络成瘾。结论与非网络成瘾青少年相比,网络成瘾青少年在网络行为特点、心理风险因素等方面,均有显著的特点,研究为指导网络成瘾青少年诊治、预防青少年网络成瘾提供了指导价值。

Objective To study the network behavior characteristics and psychological risk factors of teenagers suffered internet addiction .Methods From September 2014 to March 2015, 60 cases of patients who received treatment in adolescent psychological development base in Beijing military region general hospital were enrolled as experimental group , and 60 healthy students from a Beijing high school were chose as control group , both groups were given Internet addiction diagnostic questionnaires , network behavior questionnaire and UCLA loneliness scale survey , investigation datas of teenagers of the two groups were compared .Results The average number of surf the internet every day , weekly online times , total online time of experimental group were higher than the control group , the differences were statistically significant （ P 〈0.05 ） .The differences of network negative evaluation and behavior prefer were obviously different （ P 〈0.05）.Online anxiety and network satisfaction score of experimental group were significantly higher than the control group （P〈0.05）.Logistic regression analysis showed that loneliness , internal control , whether the one -child, network satisfaction and average time online every day , a single online time can predict whether teenagers will suffer Internet addiction . Conclusions IAD teenagers have significant features in the characteristics of network behavior and psychological risk factors.This study provides guidance for treatment and prevention of Internet addiction .