| Objective: Base on the stress theory, try to find out the possible inducing factors of adolescent internet addiction disorder (IAD) by study on the intermediary variable of stress, namely social support, coping style, cognitive evaluation and personality. It will provide scientific guidance for future treatment and prevention of internet addition by clarified the intermediary variables'features of adolescent IAD.Methods:Objects we had randomly drawn out 5 junior middle schools from all the middle schools in Dalian. We had chosen3634cases from all of these schools during June to October 2007. 129 (3.55%)students were screen out by Chen Internet Addiction Scale(CIAS), namely internet addiction disorder Group (IAD). The average age was 14.28±0.74 years old, and male is 90 cases, and female is 39 cases. According to sex, grade and the score of the Adolescent Self-Rating Life Events Check-list (ASLEC), we chose 129 students who used internet, but not addiction as Non-internet addiction disorder Group (non-IAD); and we also chosen 129 students who had never use the internet as Non-internet Group (non-IT).Methods We had investigated with general questionnaire, Chen Internet Addiction Scale(CIAS), Adolescent Self-Rating Life Events Check-list (ASLEC), Eysenck personality questionnaire (EPQ), Coping style questionnaire(CSQ), Perceived social support scale (PSSS), The automatic thoughts questionnaire(ATQ). Statistics Data was input into the computer, and analyzed with SPSS software, we used t test, Chi-square, One-way ANOVA, Spearman correlation, and multiple Linear& Logistic Regression. Results:①The survey of network use and internet addiction situation of junior middle school of Dalian: There was 2624(72.21%) students used internet in lately half a year among 3634 students. And 129(3.55%) students had IAD(Mild: 81students; Moderate or Severe: 48 students);②Compare to stress intermediary variables:⑴Personality There was significant difference on P scores, N scores and L scores within the three groups(F=7.228~12.373,P<0.001). There was significant difference on P scores, N scores and L scores between IAD group and non-IAD group, and between IAD group and non-IT group(t=-5.271~5.194,P<0.001). There was no difference on personality between non-IAD group and non-IT group(t=-1.279~2.481,P>0.05). There was no difference on personality between male and female (t=-1.071~0.700,P>0.05);⑵Automatic thoughts There was significant difference on automatic thoughts scores within the three groups(F=12.208, P<0.001). There was significant difference on automatic thoughts scores between IAD group and non-IAD group(t=10.155, P<0.001)and between IAD group and non-IT group (t=9.938, P<0.001). There was no difference on automatic thoughts scores between non-IAD group and non-IT group (t=-0.217, P>0.05). There was no difference on automatic thoughts scores between male and female (t=0.472, 0.206, P>0.05);⑶Coping style There was significant difference on self-blame, fantasy, retreat, and rationalization within three groups(F=-0.620~1.643,P<0.001). There was significant difference on problem solving, self-blame, fantasy, retreat, and rationalization between IAD group and non-IAD group, and between IAD group and non-IT group(t=-0.620~1.682,P<0.001). There was no difference on coping style between non-IAD group and non-IT group (t=-1.287~0.636,P>0.05). There was no difference on coping style between male and female (t=-0.802~1.607,P>0.05).⑷Perceived social support (PSSS): There was significant difference on PSSS among IAD group, non-IAD group, and non-IT group (F=9.852~12.390,P<0.001). There was significant difference on PSSS between IAD group and non-IAD group, and between IAD group and non-IT group(t=-5.403~-2.249,P<0.001). There was no difference on PSSS between non-IAD group and non-internet group(t=0.101~1.326,P>0.05). There was no difference on PSSS between male and female(t=-1.071~0.202, P>0.05).⑸Regression and correlation analysis: IAD withdrawal symptoms had positive relationship with P score(r=0.144,P<0.05), IAD total score, compulsive symptoms, withdrawal symptoms, interpersonal relationship and health problems had positive relationship with N score (r=0.120~0.202,P<0.01) and it had negative relationship with L score (r=-0.226~-0.110,P<0.05). IAD total score, compulsive symptoms, withdrawal symptoms, tolerance symptoms, interpersonal relationship and health problems, and time management symptoms had positive relationship with automatic thoughts(r=0.176~0.246,P<0.01). IAD total score, compulsive symptoms, withdrawal symptoms, tolerance symptoms, interpersonal relationship and health problems, and time management symptoms had positive relationship with self-blame, fantasy, retreat, and rationalization of coping style(r=0.157~0.284,P<0.01). IAD total score, compulsive symptoms, withdrawal symptoms, tolerance symptoms, interpersonal relationship and health problems, and time management symptoms had negative relationship with PSSS(r=-0.255~-0.181,P<0.01). The dependent variable was CIAS score, independent variable were PSSS scores, automatic thoughts total score, problem solving, self-blame, help seeking, fantasy, retreat, rationalization, P,E, N, L score. Total score of PSSS, total score of automatic thoughts, help seeking, and retreat entered into the equation. The dependent variable was addiction(1=yes, 2=no), independent variable were sex, age, total score of PSSS, total score of automatic thoughts, problem solving, self-blame, help seeking, fantasy, retreat, rationalization, P,E, N, L score. Total score of PSSS, retreat, rationalization, and L score entered into the Logistic equation.Conclusions:1.There was 72.21% of Dalian junior middle school students used internet. But only 3.55% of them had internet addiction disorder.2.Compare with Non IAD group and Non-internet Group, IAD group was more likely to use negative coping style, was more likely to have negative self-cognition judgment, had less social support. IAD group was more anxiety, worries, loneliness and simple.3.IAD severity had relationships with intermediary variable of stress... |