Associations of personality and clinical characteristics with excessive Internet and smartphone use in adolescents: A structural equation modeling approach
- 주제(키워드) Clinical features , Excessive Internet use , Excessive smartphone use , Mood , Personality , Structural equation modeling
- 등재 SCIE, SSCI, SCOPUS
- 발행기관 Elsevier Ltd
- 발행년도 2020
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000169474
- 본문언어 영어
- Published As https://dx.doi.org/10.1016/j.addbeh.2020.106485
- PubMed https://pubmed.ncbi.nlm.nih.gov/32559608
- 저작권 이화여자대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
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. © 2020 Elsevier Ltd
more