J Korean Neuropsychiatr Assoc.  2008 Jul;47(4):378-383.

Sociodemographic Characteristics and Emotional and Behavioral Problems Related with Internet Addiction Tendency in Adolescents

Affiliations
  • 1Department of Psychiatry, Seoul Metropolitan Eunpyeong Hospital, Seoul, Korea.
  • 2Department of Psychiatry and Behavioral Sciences, Ajou University School of Medicine, Suwon, Korea.
  • 3Department of Medical Humanities and Social Medicines, Ajou University School of Medicine, Suwon, Korea.
  • 4Yunsei Irum Clinic, Goyang, Korea.

Abstract


OBJECTIVES
The objective of this study is to investigate the relations of internet addiction to sociodemographic characteristics and emotional and behavioral problems of adolescents in Korea.
METHODS
We assessed 1432 middle school students in the city of Osan, Korea. We administered a self-reported questionnaire including sociodemographic data, Korean versions of Internet Addiction Scale (K-IAS) and Youth Self Report (K-YSR). All the students were divided into 3 groups (internet addiction group, overuser group and normal control group) according to the scores of K-IAS. Chi-square and one-way ANOVA were used to compare the 3 groups. After the correlations among each sociodemographic characteristics and emotional and behavioral problems were performed, the multiple regression analysis was conducted to identify the predictable factors of internet addiction tendency.
RESULTS
There were significant differences among 3 groups in the gender, age, cigarette smoking, alcohol use and the age of initial internet use. The addiction group (K-IAS> or =70, N=32) had significantly higher rate of males, older students, cigarette smoking, alcohol use and earlier starting age of internet use than the control group (K-IAS<40, N=881). And the mean scores of all scales except somatic complaints subscale of K-YSR showed in the order of addiction group, overuser group, than control group. In the somatic complaints subscale, addiction group had significantly higher mean scores than other 2 groups but there was no difference between overuser group and control group. Multiple regression analysis showed that attention problems, male, delinquent behavior, aggressive behavior, withdrawn and the age of initial internet use could explain 29.6% of internet addiction tendency.
CONCLUSION
These results suggested that the earlier familial education and environmental intervention of internet use would be helpful to prevent internet addiction. Attention problems, male and delinquent behavior, aggressive behavior and withdrawn were predictable factors of internet addiction, and this is well compatible with more male prevalence in ADHD and disruptive behavior disorders. This suggested that the intervention focused on the gender difference to prevent and treat internet addiction could be effective.

Keyword

Internet addiction; Sociodemographic; Emotional and behavioral problems

MeSH Terms

Adolescent
Humans
Internet
Korea
Male
Mental Disorders
Prevalence
Surveys and Questionnaires
Self Report
Smoking
Weights and Measures
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