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Open AccessJournal ArticleDOI

Internet addiction in students: Prevalence and risk factors

TLDR
Frequent usage of online shopping and social online activities, high neuroticism and low agreeableness significantly increased the chances of being addicted to the Internet, whereas a combination of online gaming and openness to experience increased it.
About
This article is published in Computers in Human Behavior.The article was published on 2013-05-01 and is currently open access. It has received 433 citations till now. The article focuses on the topics: The Internet & Addiction.

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Citations
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Journal ArticleDOI

İnternet bağimliliği i̇le çevri̇mi̇çi̇ alişveri̇ş bağimliliği arasindaki̇ i̇li̇şki̇de covi̇d-19 pandemi̇si̇ anksi̇yetesi̇ni̇n düzenleyi̇ci̇ rolü

TL;DR: In this paper , the effect of Covid-19 anxiety on the relationship between internet addiction and online shopping addiction is examined and some suggestions were provided for the online shopping firms depending on the findings of the study.
Journal Article

The factors and outcomes of social media dependency framework

TL;DR: In this paper, the authors examine the factors of social media dependency and identify its implications among graduates, and develop a theoretical framework based on a modified Media System Dependency (MSD) Theory.
Journal ArticleDOI

Prediction of Internet addiction based on emotion seeking and identity styles in students

TL;DR: In this article, the authors predict the Internet addiction based on identity styles and excitement-seeking in students using multivariate regression analysis, and the results showed that informational identity style and commitment have significant negative correlations with internet addiction and there is a significant positive relationship between normative style and diffuse / avoidant style with Internet addiction.
Book ChapterDOI

Internet Self-regulation in Higher Education: A Metacognitive Approach to Internet Addiction

TL;DR: This paper presents the results of a content analysis which attempted to identify whether technological interventions have been documented within a higher educational context to assist in the prevention of IA through the promotion of self-regulatory functions of Internet use.
References
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Book

Multiple Regression: Testing and Interpreting Interactions

TL;DR: In this article, the effects of predictor scaling on the coefficients of regression equations are investigated. But, they focus mainly on the effect of predictors scaling on coefficients of regressions.
Journal ArticleDOI

Multiple Regression: Testing and Interpreting Interactions

TL;DR: In this article, multiple regression is used to test and interpret multiple regression interactions in the context of multiple-agent networks. But it is not suitable for single-agent systems, as discussed in this paper.
Journal ArticleDOI

The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Sites

TL;DR: Facebook usage was found to interact with measures of psychological well-being, suggesting that it might provide greater benefits for users experiencing low self-esteem and low life satisfaction.
Journal ArticleDOI

A ‘components’ model of addiction within a biopsychosocial framework

TL;DR: The authors argue that addictions are a part of a biopsychosocial process and evidence is growing that excessive behaviours of all types do seem to have many commonalities, such as saliency, mood modification, tolerance, withdrawal, conflict and relapse.
Related Papers (5)
Frequently Asked Questions (8)
Q1. What have the authors contributed in "Internet addiction in students: prevalence and risk factors" ?

Rather than looking at Internet addiction per se, this study focused on particular activities on the Internet that might be potentially addictive and linked them to personality traits that might predispose individuals to Internet addiction. The aims of this study were ( i ) to assess the prevalence of clinically significant levels of Internet addiction, and to ( ii ) discern the interplay between personality traits and specific Internet uses in increasing the risk for Internet addiction. This cross-sectional online survey used data from 2,257 students of an English university. 

The next Internet application that significantly increased the risks of being addicted to the Internet was online chat/forums (i.e., increased chance by 60%). 

As with online chat rooms, online forums may be a substitute for real life contacts, and engagement with them could lead to excess, as suggested by the results of this study. 

The baseline model including no predictors was significant (b = -3.340, Wald Χ2 (1) = 761.17, p < .01), indicating that the chance for being addicted to the Internet by the overall study population was .03. 

the interaction between neuroticism and online shopping decreased the odds of being addicted to the Internet by 45% (b = -.60, Wald Χ2 (1) = 5.50, p < .05). 

This study also demonstrated that engaging in online gaming increased the risks of being addicted to the Internet when paired with higher openness to experience. 

it suggests that SNSs are mostly used for the maintenance of established offline networks that are important for academic and professional opportunities, and thus might explain why some individuals become addicted to using them (Kuss & Griffiths, 2011). 

Previous research has found that the reasons for increased use of instant messengers (e.g., ICQ, MSN) in young populations are media richness and presentational control (Sheer, 2010).