Research On The Features Of Network Behavior And Social Risk Factors Of The College With Internet Addiction Disorder

Objective: 1. To investigate the features of network behavior of the college with Internet Addiction Disorder. 2.To investigate the social risk factors of the college with Internet Addiction Disorder.Method: 490 students, who have network behavior in Hunan University of Science and Engineering and Yongzhou Vocational and Technical College, were selected by cluster sampling. They were assessed with Internet Addiction Disorder test and FES-CV and Egma Minnen av Bardndonsnaupp for stran(EMBU) and Attachment Questionnaire and Social Support Scale and self-made investigate questionnaire of the youth . Four methods had been used in analyzing, such as x~2-test, analysis of variance, correlation analysis and logistic regression.Result: (1) 7.6% subjects can be defined as IAD according to Internet Addiction Disorder Test. (2) There were significant difference between two group in sex and father's cultural degree. There was no obvious difference between two group in the grade, specialty, urban and rural, only child , mother's cultural degree, father's profession, mother's profession (p>0.05) .(3) IAD group have a lower score in the first age on-line, while have a higher score in the year of on-line, the most frequency of a day, every day on-line frequency, the most frequency of a week, every week on-line frequency, the most time of single on-line, time per on—line, every day on-line time, every week on-line time. IAD group have convenient condition and own computer in the dormitory; In network content, there was no obvious difference between two group in network interpersonal relation , technology and information . while IAD group have a higher score in network entertainment, sex and gambling (p<0.001) . In network attitude, there was no obvious difference between two group in network control feeling, network positive evaluation, network behavior tendency (p>0.05) . while there was obvious difference between two group in network passive evaluation. In network emotion, IAD group have a higher score in anxiety about on-line and satisfaction with network (p<0.05) . (4) In FES-CV, IAD group have a higher score in contradictoriness (p<0.05) .In EMBU, there were significant difference between two group in father's warmth, over-protection, over-interference, rejection,refusal, severe punishment, mother's severe punishment, warmth, rejection, refusal (p<0.05～0.001) . There was no obvious difference between two group in mother's interference and protection (p>0.05). IAD group have a higher score in lack of maternal love, lack of fatherly love, father's rejection, parent's passive entangle, angry with parent (p<0.05～0.001) . IAD group have a lower score in the total score of social support and the score of subjective support (p= 0.001) .(5) By the logistic regression analysis, We can forecast the Internet Addition Disorder of the college by network behavior. The affective factors of young male's Internet Addiction Disorder were as following: the score of subjective support, mother's passive entangle, network positive evaluation, network active evaluation, satisfaction with network, the most time of single on-line. Subjective support and network active evaluation were protective factors. The affective factors of young female's Internet Addiction Disorder were anxiety about on-line, every week on-line frequency, time per on—line.Conclusion: (1) IAD group have significant characteristics in the first age on-line, time on-line, frequency on-line and the features of network behavior. (2) The social factors have significant influence on the behavior of the youth with Internet Addiction Disorder. (3) Internet Addiction Disorder of the college can be forecast through network behavior, the young male's Internet Addiction Disorder was affect by the social factors and network behavior.