What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use

Kyoung Min Kim; Haebin Kim; Jae-Won Choi; Soo Yeon Kim; Jun Won Kim

doi:10.2147/NDT.S247292

What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use

Neuropsychiatr Dis Treat. 2020 Apr 20:16:1031-1041. doi: 10.2147/NDT.S247292. eCollection 2020.

Authors

Kyoung Min Kim¹, Haebin Kim², Jae-Won Choi³, Soo Yeon Kim⁴, Jun Won Kim⁵

Affiliations

¹ Department of Psychiatry, College of Medicine, Dankook University, Cheonan, Republic of Korea.
² Department of Psychiatry, Kyung Hee University Hospital, Seoul, Republic of Korea.
³ Department of Psychiatry, Gyeongsang National University Hospital, Jinju, Republic of Korea.
⁴ Department of Psychiatry, Pusan National University Hospital, Busan, Republic of Korea.
⁵ Department of Psychiatry, Catholic University of Daegu School of Medicine, Daegu, Republic of Korea.

Abstract

Purpose: This study investigated the prevalence and correlates of problematic internet use (PIU) in a large sample of adolescents based on the type of internet service used.

Materials and methods: The study was conducted from 2008 to 2010, and 223,542 adolescents aged 12 to 18 years participated in the study. The participants responded to a self-report questionnaire including items for demographic factors, internet usage time, most used internet service and mental health. The PIU was assessed with the Internet Addiction Proneness Scale for Youth-Short Form.

Results: The overall prevalence rate of PIU was 5.2%, and the prevalence rates stratified by sex were 7.7% in boys and 3.8% in girls. The distribution of most used internet services was significantly different across sexes. The most commonly used internet services were gaming (58.1%) in boys and blogging (22.1%) and messenger/chatting (20.3%) in girls. The odds ratio for PIU was significantly different according to the most used internet service; using the internet mostly for pornography compared to information searching had the highest odds ratio (4.526-fold higher). Depressive episodes, suicidal ideation, and suicidal attempts were significantly associated with higher odds ratios for PIU (1.725-, 1.747- and 1.361-fold, respectively).

Conclusion: The present study identified clinically important information about PIU in adolescents. The distribution of PIU has different patterns based on sex and specific internet services. Studies of PIU with well-defined methodology and assessment tools for PIU of each specific internet service are needed.

Keywords: addiction; adolescence; sex differences; internet usage.

Grants and funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP; Ministry of Science, ICT & Future Planning) (NRF-2018R1C1B5041143).