A Research On Internet Addiction And Determinants Among The Rural Junior In Yueyang Country Of Hunan

Objective To explore the prevalence rate of internet addiction and its’determinants among rural junior middle school students in Yueyang country of Hunan and provide references for preventing and controlling rural junior middle school students’internet addiction.Subjects and Methods The cross-sectional survey was adopted to the study and countryside junior middle school students from Yueyang country were the research subject. We selected two countryside middle schools by random cluster sampling from countryside middle schools of yueyang country, and then investigated all students of22classes between the two schools by simple random sampling. The junior middle school students internet use questionnaire including General Demographic Information, internet use(including Young’s Internet Addiction Test scale) and Social Support Evaluation List was used, and which was designed by myself. Description the general demographic information of the object:using x±s describes measurement data, and using constituent ratio describes enumeration data. Single analyses for the determinants of internet addiction:using two groups designed t test compares two samples mean, using group designed χ2tes、trend χ2text or fisher exact probability compares two and more ratio or constituent ratio. Multivariate analysis for the determinants uses multinomial logistic regression analysis.Results This study was totally investigated1025junior middle school students, completed118.9%of the expected samples. About the general demographic information of the object:the oldest is17years, and the youngest is10years, and the average age of them is13.1±1.04; the ratio of male and female is1.20:1;260are the seventh grade, and339are the eighth grade, and424are the ninth grade. The ratio of no-drinking and no-smoking is96.1%and89.3%, separately. The ratio of the no-singleton children is75.9%. About the family information of the subjects:91.1%of their parents are in marriage, and67.9%of their parents are harmonious; the junior middle school education ratio of fathers’educational background and mothers’educational background is60.1%and60.3%; the farmers and worker proportion of fathers’career is38.3%and28.7%, and the farmers and worker proportion of mothers’ career is34.5%and31.0%.61.1%of these junior middle school students live with their parents. About the internet use information of the subjects:26.1%of the junior middle school students can be on the internet at home;79.0%of the junior middle school students have experienced on internet;38.7%of the junior middle school students’internet age are less than one year;42.1%of the junior who are on internet are in the internet bar;49.2%of the junior who are on internet are aim to game; according to the Young addiction diagnosis scale,90students have been detected internet addiction, and the rate of internet addiction is8.8%. About the social support condition:the x±s of the subjective score, objective support score, utilization of social support score and the total score of the social support is19.43±3.04、10.43±3.83、7.98±1.99、37.90±6.75. One-way analysis on the determinants of internet addiction showed that male, being not interested in learning, smoking, drinking, the relationship between parents is not harmonious, the longer age on internet, the internet bar where they are on internet, the aim is playing games, and the lower score of subjective social support, utilization social support, and the total social support are the determinants for the junior middle school students internet addiction. The multinomial analysis showed that being not interested in learning, drinking, having more than four years on internet and the lower total score of social support are the determinants for the junior middle school students internet addiction.Conclusion The proportion of internet use in Yueyang country rural junior middle students is79.0%. Internet addiction is a serious problem, and the ratio of internet addiction is8.8%. The possibility determinants are gender, learning interest, smoking and drinking, the age of using internet, the purpose on internet and the social support.