What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Useopen access
- Authors
- Kim, Kyoung Min; Kim, Haebin; Choi, Jae-Won; Kim, Soo Yeon; Kim, Jun Won
- Issue Date
- Apr-2020
- Publisher
- Dove Medical Press Ltd
- Keywords
- addiction; adolescence; sex differences; internet usage
- Citation
- Neuropsychiatric Disease and Treatment, v.16, pp 1031 - 1041
- Pages
- 11
- Indexed
- SCIE
SCOPUS
- Journal Title
- Neuropsychiatric Disease and Treatment
- Volume
- 16
- Start Page
- 1031
- End Page
- 1041
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/72011
- DOI
- 10.2147/NDT.S247292
- ISSN
- 1176-6328
1178-2021
- 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.
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