Cargando…
Comparison of risk and protective factors associated with smartphone addiction and Internet addiction
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...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Akadémiai Kiadó
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712765/ https://www.ncbi.nlm.nih.gov/pubmed/26690626 http://dx.doi.org/10.1556/2006.4.2015.043 |
_version_ | 1782410110606245888 |
---|---|
author | Choi, Sam-Wook Kim, Dai-Jin Choi, Jung-Seok Ahn, Heejune Choi, Eun-Jeung Song, Won-Young Kim, Seohee Youn, Hyunchul |
author_facet | Choi, Sam-Wook Kim, Dai-Jin Choi, Jung-Seok Ahn, Heejune Choi, Eun-Jeung Song, Won-Young Kim, Seohee Youn, Hyunchul |
author_sort | Choi, Sam-Wook |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4712765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Akadémiai Kiadó |
record_format | MEDLINE/PubMed |
spelling | pubmed-47127652016-01-19 Comparison of risk and protective factors associated with smartphone addiction and Internet addiction Choi, Sam-Wook Kim, Dai-Jin Choi, Jung-Seok Ahn, Heejune Choi, Eun-Jeung Song, Won-Young Kim, Seohee Youn, Hyunchul J Behav Addict Full-Length Report 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. Akadémiai Kiadó 2015-12 2015-12-21 /pmc/articles/PMC4712765/ /pubmed/26690626 http://dx.doi.org/10.1556/2006.4.2015.043 Text en © 2015 Akadémiai Kiadó, Budapest http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Full-Length Report Choi, Sam-Wook Kim, Dai-Jin Choi, Jung-Seok Ahn, Heejune Choi, Eun-Jeung Song, Won-Young Kim, Seohee Youn, Hyunchul Comparison of risk and protective factors associated with smartphone addiction and Internet addiction |
title | Comparison of risk and protective factors associated with smartphone addiction and Internet addiction |
title_full | Comparison of risk and protective factors associated with smartphone addiction and Internet addiction |
title_fullStr | Comparison of risk and protective factors associated with smartphone addiction and Internet addiction |
title_full_unstemmed | Comparison of risk and protective factors associated with smartphone addiction and Internet addiction |
title_short | Comparison of risk and protective factors associated with smartphone addiction and Internet addiction |
title_sort | comparison of risk and protective factors associated with smartphone addiction and internet addiction |
topic | Full-Length Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712765/ https://www.ncbi.nlm.nih.gov/pubmed/26690626 http://dx.doi.org/10.1556/2006.4.2015.043 |
work_keys_str_mv | AT choisamwook comparisonofriskandprotectivefactorsassociatedwithsmartphoneaddictionandinternetaddiction AT kimdaijin comparisonofriskandprotectivefactorsassociatedwithsmartphoneaddictionandinternetaddiction AT choijungseok comparisonofriskandprotectivefactorsassociatedwithsmartphoneaddictionandinternetaddiction AT ahnheejune comparisonofriskandprotectivefactorsassociatedwithsmartphoneaddictionandinternetaddiction AT choieunjeung comparisonofriskandprotectivefactorsassociatedwithsmartphoneaddictionandinternetaddiction AT songwonyoung comparisonofriskandprotectivefactorsassociatedwithsmartphoneaddictionandinternetaddiction AT kimseohee comparisonofriskandprotectivefactorsassociatedwithsmartphoneaddictionandinternetaddiction AT younhyunchul comparisonofriskandprotectivefactorsassociatedwithsmartphoneaddictionandinternetaddiction |