3.9 Article

Predictive Values of Psychiatric Symptoms for Internet Addiction in Adolescents A 2-Year Prospective Study

期刊

ARCHIVES OF PEDIATRICS & ADOLESCENT MEDICINE
卷 163, 期 10, 页码 937-943

出版社

AMER MEDICAL ASSOC
DOI: 10.1001/archpediatrics.2009.159

关键词

-

资金

  1. National Science Council of Taiwan [NSC 94-2413-H-037-006, NSC 95-2413-H-037-008-SSS]

向作者/读者索取更多资源

Objectives: To evaluate the predictive values of psychiatric symptoms for the occurrence of Internet addiction and to determine the sex differences in the predictive value of psychiatric symptoms for the occurrence of Internet addiction in adolescents. Design: Internet addiction, depression, attention-deficit/hyperactivity disorder, social phobia, and hostility were assessed by self-reported questionnaires. Participants were then invited to be assessed for Internet addiction 6, 12, and 24 months later (the second, third, and fourth assessments, respectively). Setting: Ten junior high schools in southern Taiwan. Participants: A total of 2293 (1179 boys and 1114 girls) adolescents participated in the initial investigation. Main Exposure: The course of time. Main Outcome Measure: Internet addiction as assessed using the Chen Internet Addiction Scale. Results: Depression, attention-deficit/hyperactivity disorder, social phobia, and hostility were found to predict the occurrence of Internet addiction in the 2-year followup, and hostility and attention-deficit/hyperactivity disorder were the most significant predictors of Internet addiction in male and female adolescents, respectively. Conclusions: These results suggest that attention-deficit/hyperactivity disorder, hostility, depression, and social phobia should be detected early on and intervention carried out to prevent Internet addiction in adolescents. Also, sex differences in psychiatric comorbidity should be taken into consideration when developing prevention and intervention strategies for Internet addiction.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.9
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据