Internet addiction in students: Prevalence and risk factors

Kuss, Daria J.; Griffiths, Mark D.; Binder, Jens F.

doi:10.1016/j.chb.2012.12.024

Cited by 429 publications

(349 citation statements)

References 62 publications

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“…Undergraduates are generally considered a risk population, since they typically have flexible schedules and a natural affinity towards the Internet (Kuss, Griffiths, & Binder, 2013). Moreover, in comparison with adolescent students that might have some parental control of the Internet, college students typically have free and unlimited access.…”

Section: Discussionmentioning

confidence: 99%

14. Generalized Problematic Internet Use Scale 2: update on the psychometric properties among Italian young adults

Casale¹,

Primi²,

Fioravanti³

2015

The Psychology of Social Networking Vol.2

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Abstract. Problematic Internet Use (PIU) involves cognitive distortions and dysfunctional behaviors (e.g., compulsive Internet use or using the Internet to alleviate negative emotions) that lead to negative outcomes in various areas of an individual's life. The Generalized Problematic Internet Use Scale 2 (GPIUS2) is one of the few theory-driven instruments to measure the type of PIU associated with the unique communicative context available online. The purpose of this study was to expand upon previous empirical evidence of the psychometric properties of the GPIUS) among Italian young adults. The present psychometric evaluation of the Italian version of the GPIUS2 was conducted on a sample of 748 undergraduate students (48.3% males) from 18 to 26 years old (M= 21.84 years, SD = 2.20). With regard to scale dimensionality, the four first-order factors model (i.e. preference for online social interaction, mood regulation, deficient self-regulation, and negative outcomes) was confirmed (fit indices: Satorra-Bentler scaled χ 2 /df = 3.03; Comparative Fit Index = 0.93; Tucker-Lewis index = 0.92; Root Mean Square Error of Approximation = 0.05). Internal-consistency Cronbach's alpha ranged from 0.72 to 0.89. Convergent validity is demonstrated with significant correlations between GPIUS2 and Internet Addiction Test score. Validity was also assessed by exploring the relationship between GPIUS2 and several indices of psychosocial well-being that were expected to be related to PIU on the basis of previous studies. The overall results confirm previous evidence that the GPIUS2 is an adequate measure of generalized PIU cognitions, behaviors, and outcomes among young adults.

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Section: Discussionmentioning

confidence: 99%

14. Generalized Problematic Internet Use Scale 2: update on the psychometric properties among Italian young adults

Casale¹,

Primi²,

Fioravanti³

2015

The Psychology of Social Networking Vol.2

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“…On the one hand, some have found that online support works as a healthy alternative to those dissatisfied with their offline social support (Chung, 2013). On the other hand, researchers have found that preference of online interaction over offline is a main driver of problematic Internet use (Caplan, 2003, cited in Chung, 2013Kuss et al, 2013). Further, in Iacovelli and Valenti's experiment (2009), normal users maintained telephone conversations with excessive users.…”

Section: Hypothesis 1 Unemployed Individuals Spend Significantly Morementioning

confidence: 99%

Compulsive internet use in adults: A study of prevalence and drivers within the current economic climate in the UK

Quinones-Garcia

Korak-Kakabadse

2014

Computers in Human Behavior

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Compulsive Internet Use (CIU) refers to a maladaptive relationship with the tool, including a loss of control over the use, the use for mood change and withdrawal symptoms. Most studies have relied on student samples, thus little is known about its prevalence in adults. The first objective of this study was to examine CIU in adults that were either employed (N=260) or unemployed within the last year (N=256). Second, the drivers of CIU were examined, with a focus on attitudes that reflected the reality of long working hours and job insecurity that people experience in current workplaces. A high risk of CIU (63%) with no significant differences between employed and unemployed individuals was found. However, unemployed individuals were in the highest band of Internet use, a risk factor for CIU.Interestingly, unemployed 40-55 years old females experienced higher CIU than their male counterparts. Regarding drivers of CIU, the job attitudes working excessively and compulsively were the strongest predictors, beyond emotion stability. This was particularly true at high levels of social support. In view of this, organizations should proactively evaluate the risks associated with encouraging working excessively as ill-health consequences associated with CIU could outweigh the benefits.

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“…Miscellaneous classification criteria for Internet addiction have been used in a total of eight studies including adult samples [53][54][55][56][57][58][59][60]. All sample sizes were between 1000 and 2000 participants, with the exception of a sample of 16,925 regular Internet users in the Netherlands [53].…”

Section: The Prevalence Of Internet Addiction In Adultsmentioning

confidence: 99%

“…Furthermore, the usage of a number of different Internet applications has been linked to Internet addiction. These include social applications [60,92,95], online gaming and other applications [59,92], and a combination of online gaming and openness to experience [60].…”

Section: Internet Use Variablesmentioning

confidence: 99%

“…Of these, 14 studies used miscellaneous criteria to identify Internet addiction in adolescents [40][41][42][43][44][45][46][47][48][49][50][51][52]. In addition to the adolescent samples, miscellaneous classification criteria for Internet addiction have been used in adult samples, including a total of eight studies [53][54][55][56][57][58][59][60]. Classifications vary tremendously, ranging from the adoption of official criteria for substance use disorders or pathological gambling, to no or few criteria relevant for an addiction diagnosis.…”

Section: Miscellaneous Diagnostic Assessment Toolsmentioning

confidence: 99%

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Internet Addiction: A Systematic Review of Epidemiological Research for the Last Decade

Kuss¹,

Griffiths²,

Karila³

et al. 2014

CPD

1,117

857

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Abstract:In the last decade, Internet usage has grown tremendously on a global scale. The increasing popularity and frequency of Internet use has led to an increasing number of reports highlighting the potential negative consequences of overuse. Over the last decade, research into Internet addiction has proliferated. This paper reviews the existing 68 epidemiological studies of Internet addiction that (i) contain quantitative empirical data, (ii) have been published after 2000, (iii) include an analysis relating to Internet addiction, (iv) include a minimum of 1000 participants, and (v) provide a full-text article published in English using the database Web of Science. Assessment tools and conceptualisations, prevalence, and associated factors in adolescents and adults are scrutinised. The results reveal the following. First, no gold standard of Internet addiction classification exists as 21 different assessment instruments have been identified. They adopt official criteria for substance use disorders or pathological gambling, no or few criteria relevant for an addiction diagnosis, time spent online, or resulting problems. Second, reported prevalence rates differ as a consequence of different assessment tools and cut-offs, ranging from 0.8% in Italy to 26.7% in Hong Kong. Third, Internet addiction is associated with a number of sociodemographic, Internet use, and psychosocial factors, as well as comorbid symptoms and disorder in adolescents and adults. The results indicate that a number of core symptoms (i.e., compulsive use, negative outcomes and salience) appear relevant for diagnosis, which assimilates Internet addiction and other addictive disorders and also differentiates them, implying a conceptualisation as syndrome with similar etiology and components, but different expressions of addictions. Limitations include the exclusion of studies with smaller sample sizes and studies focusing on specific online behaviours. Conclusively, there is a need for nosological precision so that ultimately those in need can be helped by translating the scientific evidence established in the context of Internet addiction into actual clinical practice.

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Internet addiction in students: Prevalence and risk factors

Cited by 429 publications

References 62 publications

14. Generalized Problematic Internet Use Scale 2: update on the psychometric properties among Italian young adults

14. Generalized Problematic Internet Use Scale 2: update on the psychometric properties among Italian young adults

Compulsive internet use in adults: A study of prevalence and drivers within the current economic climate in the UK

Internet Addiction: A Systematic Review of Epidemiological Research for the Last Decade

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