Cited by 62Impact of Technology on AdolescentsSexuality, Behavior, and TechnologyChild Development and Digital Technology

Associations of personality and clinical characteristics with excessive Internet and smartphone use in adolescents: a structural equation modeling approach

Jeong, Boram, Lee, Ji Yoon, Kim, Bo Mi, Park, Eunmin, Kwon, Jun-Gun, Kim, Dai-Jin, Lee, Youngjo, Choi, Jung-Seok +1 more·2020·Addictive Behaviors

Abstract

Adolescent Internet addiction is an important social issue entailing extensive use of Internet and smartphones and its side effects. This study identified relevant psychological factors that affect excessive Internet use (EIU) and excessive smartphone use (ESU) in adolescents using structural equation modeling (SEM). A sample of 714 individuals drawn from lists of middle school students in South Korea completed self-administered questionnaires, including Young's Internet Addiction Test (Y-IAT), the Smartphone Addiction Scale (SAS), and various clinical and psychological scales measuring depression, anxiety, attention deficit/hyperactivity disorder (ADHD), aggression, expression of anger, and the behavioral inhibition system (BIS)/activation system (BAS). The final model, fitted using SEM, showed that both clinical characteristics, including ADHD symptoms, aggression, expression of anger, depression, and anxiety, and personality characteristics, represented by BIS/BAS, played important roles in the severity of EIU or ESU. In particular, affective components such as depression and anxiety were significantly associated with both EIU and ESU, whereas aggression, the expression of anger, and ADHD symptoms affected only EIU. Furthermore, the association between ESU and EIU was significant. Although personality characteristics measured by the BIS and BAS scores did not have direct effects on addiction, they were associated with clinical features and might be risk factors for addiction. The model revealed significant pathways from personality and clinical features to EIU and ESU in adolescents and informed our basic understanding of the meaningful predictors of these addictions and their direct and indirect influences.

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Crossref · 10.1016/j.addbeh.2020.106485

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Authors
Jeong, B., Lee, J. Y., Kim, B. M., Park, E., Kwon, J.-G., Kim, D.-J., Lee, Y., Choi, J.-S., & Lee, D.
Affiliations
  • Ewha Womans University (KR)
  • Seoul National University (KR)
  • The Catholic University of Korea Seoul St. Mary's Hospital (KR)
Corresponding author
  • Choi, Jung-Seok
  • Lee, Donghwan
Venue
Addictive Behaviors
Publisher
Elsevier BV
Published
2020-11
Volume
110
Pages
106485
ISSN
0306-4603 (ISSN-L)
OpenAlex
W3029502866
Cited by
62
References
94
Citations by year
2026: 5 · 2025: 7 · 2024: 5 · 2023: 9 · 2022: 17 · 2021: 14 · 2020: 5
FWCI
15.02
Type
journal article
Language
en
Open access
closed
Locations
  • Addictive Behaviors (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Research Foundation of Korea
  • Seoul Metropolitan Government Seoul National University Boramae Medical Center
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
  • Social Sciences › Education › Child Development and Digital Technology
Keywords
adolescent internet addiction, smartphone overuse, personality traits, behavioral inhibition system, behavioral activation system, depression, anxiety, attention deficit hyperactivity disorder, aggression, anger expression, addiction risk factors
MeSH terms
Smartphone, Latent Class Analysis, Adolescent, Humans, Personality, Surveys and Questionnaires, Behavior, Addictive, Internet, Republic of Korea

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