Violent Online Games Addictive Disorder And Adolescent's Aggressive Related Research

Objectives To investigate aggressive of teen-age suffered from violent online games addictive disorder.Methods:5968 had been randomly drawn out from 8 junior middle schools from 4 districts in Dalian during August to December 2008. By Chen Internet Addiction Scale (CLAS) and Self-constructed games inve- stigation questionnaire, and met Internet addictive disorder diagnostic criterion for positive on the screening out Online Game Addiction 149(2.5%), According to gender and age, Screening out well-matched Violent Online Games Addiction and Entertainment Online Games Addiction each 66 students, of which 11 women, 55 men, average age of 14.36±0.81 years old. we also mach 66 students who are no-play online games students as third group. Methods All students from three groups have investigated with Eysenck personality questionnaire (EPQ), Minnesota Multiphase Persona- lity Inventory (MMPI-AF), Perceived Social Support Scale (PSSS), Egma minnen av bardndosnaupp forstran (EMBU), Aggression Questionnaire (AQ), (FES-CV). Statistics Database is stated with SPSS 12.0 package, database is analyzed with t test, one-way ANOVA, multiple linear regret- ssion analysis.Results:①Online games IAD is 149(2.5%)during the 5968 students, in which 71(1.18%) students had violent online games addictive disorder (VIAD,11 female, 60 male), 78(1.30%) students had entertainment online games addictive disorder (EIAD,23 female, 55 male).②Compare three groups, physio-aggression, language aggression, anger emotion, hostility cognition and aggression factors scores have significant difference(P<0.001). In the VIAD group, all factors scores higher than EIAD group and non-play online games group.③Compare three groups, ex-display anxiety, dependency and society of responsibility factors scores have significant difference(P<0.05). In the VIAD group, ex-display anxiety and dependency factors scores higher than EIAD group and non-play online games group. In the VIAD group, society of responsibility factor scores was lower than EIAD group and non-play online games group.④Compare three groups, affection express, contrary and control force factors scores have significant difference(P<0.05)during the three groups. In the VIAD group, affection express and control force factors scores were lower than EIAD group and non-play online games group. In the VIAD group, contrary factor scores were higher than EIAD group and non-play online games group.⑤Compare three groups, spiritual and neuroticism factors scores have significant difference(P<0.05). In the VIAD group, spiritual and neuro- ticism factors scores were higher than EIAD group and non-play online games group.⑥Compare three groups, family support factor score has significant difference(P<0.05). In the VIAD group, family support score was lower than EIAD group and non-play online games group.⑦Compare three groups, mother warm factor score has significant difference(P<0.05). In the VIAD group, mother warm factor score was lower than EIAD group and non-play online games group.⑧Multiple Linear Regression (Forward) of VIAD group: The dependent variable was aggression factor score, and the independent variables were Internet addictive scores and all other factor's scores. The contrary score, religion morality score entered into Multiple Linear Regression equations.Conclusions①The incidence of secondary school students for online games Addiction Disorder 2.5%, VIAD rate was 1.18%, EIAD rate was 1.30%, Lower than expected, Game Addiction to multiple boys.②VIAD increased aggressive student, they often have a spiritual basis of the quality and neurotic personality, the lack of morality and social responsibility.③Over-reliance on them, there is the issue of emotional expression, and so it can easily lead to inner conflicts and anxiety, coupled with poor control.