Literature DB >> 30347314

Relative risks of Internet-related addictions and mood disturbances among college students: a 7-country/region comparison.

C S K Tang1, A M S Wu2, E C W Yan3, J H C Ko4, J H Kwon5, M Yogo6, Y Q Gan7, Y Y W Koh8.   

Abstract

OBJECTIVES: This study aimed to determine the relative risks of addiction to the Internet, online gaming and online social networking of college students in six Asian countries/regions (Singapore, Hong Kong [HK]/Macau, China, South Korea, Taiwan and Japan) compared with students in the United States (US). It also explored the relative risks of depression and anxiety symptoms among students with Internet-related addictions from these countries/regions. STUDY
DESIGN: This is a cross-sectional survey.
METHODS: A convenience sample of 8067 college students aged between 18 and 30 years was recruited from seven countries/regions. Students completed a survey about their use of the Internet, online gaming and online social networking as well as the presence of depression and anxiety symptoms.
RESULTS: For all students, the overall prevalence rates were 8.9% for Internet use addiction, 19.0% for online gaming addiction and 33.1% for online social networking addiction. Compared with the US students, Asian students showed higher risks of online social networking addiction but displayed lower risks of online gaming addiction (with the exception of students from HK/Macau). Chinese and Japanese students also showed higher risks of Internet addiction compared with the US students. In general, addicted Asian students were at higher risks of depression than the addicted US students, especially among Asian students who were addicted to online gaming. Addicted Asian students were at lower risks of anxiety than the addicted US students, especially among Asian students who were addicted to online social networking, and addicted students from HK/Macau and Japan were more likely to have higher relative risks of depression.
CONCLUSIONS: There are country/regional differences in the risks of Internet-related addictions and psychiatric symptoms. It is suggested that country/region-specific health education programmes regarding Internet-related addictions are warranted to maximise the efficiency of prevention and intervention. These programmes should attempt to tackle not only problematic Internet-related behaviours but also mood disturbances among college students.
Copyright © 2018 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anxiety; Cross-country/region comparison; Depression; Internet-related addictions; Relative risk

Mesh:

Year:  2018        PMID: 30347314     DOI: 10.1016/j.puhe.2018.09.010

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  7 in total

Review 1.  Influencing factors, prediction and prevention of depression in college students: A literature review.

Authors:  Xin-Qiao Liu; Yu-Xin Guo; Wen-Jie Zhang; Wen-Juan Gao
Journal:  World J Psychiatry       Date:  2022-07-19

2.  Heart Rate Variability, Time Estimation and Internet-Dependent Behaviour in 16-17-Year-Old Adolescents: A Study in Russian Arctic.

Authors:  Olga Krivonogova; Elena Krivonogova; Liliya Poskotinova
Journal:  Life (Basel)       Date:  2021-05-29

3.  The Predictive Value of Emotional Intelligence for Internet Gaming Disorder: A 1-Year Longitudinal Study.

Authors:  Della L Dang; Meng Xuan Zhang; Karlas Kin-Hei Leong; Anise M S Wu
Journal:  Int J Environ Res Public Health       Date:  2019-08-02       Impact factor: 3.390

Review 4.  Prevalence of Internet Addiction and Gaming Disorders in Southeast Asia: A Meta-Analysis.

Authors:  Doris X Y Chia; Charis W L Ng; Gomathinayagam Kandasami; Mavis Y L Seow; Carol C Choo; Peter K H Chew; Cheng Lee; Melvyn W B Zhang
Journal:  Int J Environ Res Public Health       Date:  2020-04-09       Impact factor: 3.390

5.  Relationships between Severity of Internet Gaming Disorder, Severity of Problematic Social Media Use, Sleep Quality and Psychological Distress.

Authors:  Hiu Yan Wong; Hoi Yi Mo; Marc N Potenza; Mung Ni Monica Chan; Wai Man Lau; Tsz Kwan Chui; Amir H Pakpour; Chung-Ying Lin
Journal:  Int J Environ Res Public Health       Date:  2020-03-13       Impact factor: 3.390

6.  Determination the cut-off point for the Bergen social media addiction (BSMAS): Diagnostic contribution of the six criteria of the components model of addiction for social media disorder.

Authors:  Tao Luo; Lixia Qin; Limei Cheng; Sheng Wang; Zijun Zhu; Jiabing Xu; Haibo Chen; Qiaosheng Liu; Maorong Hu; Jianqin Tong; Wei Hao; Bo Wei; Yanhui Liao
Journal:  J Behav Addict       Date:  2021-05-18       Impact factor: 6.756

7.  Classification of probable online social networking addiction: A latent profile analysis from a large-scale survey among Chinese adolescents.

Authors:  Ji-Bin Li; Anise M S Wu; Li-Fen Feng; Yang Deng; Jing-Hua Li; Yu-Xia Chen; Jin-Chen Mai; Phoenix K H Mo; Joseph T F Lau
Journal:  J Behav Addict       Date:  2020-08-21       Impact factor: 6.756

  7 in total

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