The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Comparison of risk and protective factors associated with smartphone addiction and Internet addiction
Open accessAbstract
Background and Aims: Smartphone addiction is a recent concern that has resulted from the dramatic increase in worldwide smartphone use. This study assessed the risk and protective factors associated with smartphone addiction in college students and compared these factors to those linked to Internet addiction. Methods: College students (N = 448) in South Korea completed the Smartphone Addiction Scale, the Young’s Internet Addiction Test, the Alcohol Use Disorders Identification Test, the Beck Depression Inventory I, the State–Trait Anxiety Inventory (Trait Version), the Character Strengths Test, and the Connor–Davidson Resilience Scale. The data were analyzed using multiple linear regression analyses. Results: The risk factors for smartphone addiction were female gender, Internet use, alcohol use, and anxiety, while the protective factors were depression and temperance. In contrast, the risk factors for Internet addiction were male gender, smartphone use, anxiety, and wisdom/knowledge, while the protective factor was courage. Discussion: These differences may result from unique features of smartphones, such as high availability and primary use as a tool for interpersonal relationships. Conclusions: Our findings will aid clinicians in distinguishing between predictive factors for smartphone and Internet addiction and can consequently be utilized in the prevention and treatment of smartphone addiction.
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Citations
Cites
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“It can also reduce in-person social interaction and academic achievement and lead to relationship problems (Kim & Kang, 2013; Kuss & Grif fi ths, 2011; Mok et al., 2014).”
BackgroundDevelopment and Validation of a Smartphone Addiction Scale (SAS)
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Determinants of phubbing, which is the sum of many virtual addictions: A structural equation model
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Cited by
Busch, P. A., & McCarthy, S. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106414 · Cited by 657
Wegmann, E., Oberst, U., Stodt, B., & Brand, M. (2017) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2017.04.001 · Cited by 458
“Ultimately, vulnerable individuals, especially younger ones, become “hooked” (Choi et al., 2015; Oberst et al., 2017).”
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The association between smartphone use, stress, and anxiety: A meta‐analytic review
Vahedi, Z., & Saiphoo, A. (2018) · Stress and Health · doi:10.1002/smi.2805 · Cited by 280
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Metadata
- Authors
- Choi, S.-W., Kim, D.-J., Choi, J.-S., Ahn, H., Choi, E.-J., Song, W.-Y., Kim, S., & Youn, H.
- Venue
- Journal of Behavioral Addictions
- Publisher
- Akademiai Kiado Zrt.
- Published
- 2015-12
- Volume
- 4
- Issue
- 4
- Pages
- 308-314
- ISSN
- 2062-5871 (ISSN-L)
- 2063-5303
- OpenAlex
- W2211216236
- Cited by
- 476
- References
- 10
- FWCI
- 78.62
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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