Faktorielle Struktur der deutschen Version der Compulsive Internet Use Scale (CIUS) nach konfirmatorischer Faktorenanalyse

Peukert, Peter; Steffen, Svenja; ElKasmi, Jamil; Barth, Gottfried Maria; Meerkerk, Gert-Jan; Batra, Anil

doi:10.1026/1616-3443/a000137

Cited by 26 publications

(19 citation statements)

References 23 publications

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“…They provided informed consent to participate by clicking a button. The participants answered questions concerning age and sex, filled in the Ishihara test (Ishihara Farbtafel, 2009), and the German version of the Compulsive Internet Use Scale (CIUS) (Peukert et al., 2012). Study 2 was conducted after the criteria for IGD were published in the Diagnostic and Statistical Manual of Mental Disorders, version 5 (American Psychiatric Association, 2013).…”

Section: General Methodsmentioning

confidence: 99%

“…The German version of the CIUS (Peukert et al., 2012) measures excessive Internet use with 14 items (e.g., “How often do you use the Internet when you are feeling down?”). The gamers were asked to refer to their Internet gaming usage.…”

Section: General Methodsmentioning

confidence: 99%

“…Higher scores indicate more compulsive use. The CIUS has good internal consistency with Cronbach’s α ranging from .86 to .90 (Barke, Nyenhuis, Voigts, Gehrke, & Kröner-Herwig, 2013; Meerkerk, Van Den Eijnden, Vermulst, & Garretsen, 2009; Peukert et al., 2012). …”

Section: General Methodsmentioning

confidence: 99%

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Using two web-based addiction Stroops to measure the attentional bias in adults with Internet Gaming Disorder

2016

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Background and aimsPeople with substance abuse and pathological gamblers show an attentional bias. In a laboratory setting, we found an attentional bias using an addiction Stroop in adults with Internet Gaming Disorder (IGD). We aimed at investigating this effect using two web-based experiments.MethodsStudy 1: Gamers with IGD, casual gamers, and non-gamers (N = 81, 28.1 ± 7.8 years) completed a web-based addiction Stroop with a fully randomized word order. They saw computer-related and neutral words in four colors and indicated the word color via keypress. Study 2: Gamers with IGD, casual gamers, and non-gamers (N = 87, 23.4 ± 5.1 years) completed a web-based addiction Stroop and a classical Stroop (incongruent color and neutral words), which both had a block design. We expected that in both studies, only the gamers with IGD would react more slowly to computer-related words in the addiction Stroop. All groups were expected to react more slowly to incongruent color words in the classical Stroop.ResultsIn neither study did the gamers with IGD differ in their reaction times to computer-related words compared to neutral words. In Study 2, all groups reacted more slowly to incongruent color words than to neutral words confirming the validity of the online reaction time assessment.DiscussionGamers with IGD did not show a significant attentional bias. IGD may differ from substance abuse and pathological gambling in this respect; alternatively experimenting on the Internet may have introduced error variance that made it harder to detect a bias.

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Section: General Methodsmentioning

confidence: 99%

Section: General Methodsmentioning

confidence: 99%

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Using two web-based addiction Stroops to measure the attentional bias in adults with Internet Gaming Disorder

2016

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“…The German version was psychometrically validated in a representative sample of adolescents [ 18 ]. The majority of research supports a one dimensional structure of the scale [ 18 , 35 , 36 ]. We applied the same model as Meerkerk et al [ 17 ], correlating the error variances of items 1 and 2, items 6 and 7, items 8 and 9, items 10 and 11 as well as items 12 and 13, and could confirm the one-dimensional structure of the instrument in our sample (RMSEA = 0.047, CFI = 0.962, TLI = 0.952) with standardized factor loadings between 0.33 (Item 8) and 0.64 (Item 14).…”

Section: Methodsmentioning

confidence: 99%

“…According to the authors, the CIUS assesses the symptoms loss of control, withdrawal symptoms, coping with unpleasant mood, mental and behavioral preoccupation as well as inter- and intrapersonal conflicts CIUS (see Table 1 ; [ 17 , 35 , 36 ]).…”

Section: Methodsmentioning

confidence: 99%

A Phenotype Classification of Internet Use Disorder in a Large-Scale High-School Study

Lindenberg

Halasy

Szász-Janocha

et al. 2018

IJERPH

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Internet Use Disorder (IUD) affects numerous adolescents worldwide, and (Internet) Gaming Disorder, a specific subtype of IUD, has recently been included in DSM-5 and ICD-11. Epidemiological studies have identified prevalence rates up to 5.7% among adolescents in Germany. However, little is known about the risk development during adolescence and its association to education. The aim of this study was to: (a) identify a clinically relevant latent profile in a large-scale high-school sample; (b) estimate prevalence rates of IUD for distinct age groups and (c) investigate associations to gender and education. N = 5387 adolescents out of 41 schools in Germany aged 11–21 were assessed using the Compulsive Internet Use Scale (CIUS). Latent profile analyses showed five profile groups with differences in CIUS response pattern, age and school type. IUD was found in 6.1% and high-risk Internet use in 13.9% of the total sample. Two peaks were found in prevalence rates indicating the highest risk of IUD in age groups 15–16 and 19–21. Prevalence did not differ significantly between boys and girls. High-level education schools showed the lowest (4.9%) and vocational secondary schools the highest prevalence rate (7.8%). The differences between school types could not be explained by academic level.

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Problematisches Internetnutzungsverhalten (PIN) – eine Übersicht zu Messinstrumenten und Risikofaktoren

et al. 2016

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Internet is nowadays an integral part of our lives. However, excessive internet use, which is in many ways comparable to substance addictions and behavioral addictions, has become of growing interest in popular media, health policy and scientific research. Nevertheless, there is still considerable controversy with respect to diagnostic criteria and assessment questionnaires, and the diagnosis does not yet appear in any official diagnostic system such as the DSM-5 or ICD-10. Due to the lack of consistent diagnostic criteria for problematic internet use and both the use of different assessment questionnaires and classification systems, the reported prevalence rates vary significantly across studies. Thus, the comparison of study results is limited.In this review article a brief overview of the various diagnostic criteria and assessment questionnaires as well as the prevalence of problematic internet use (PIN) will be given. Furthermore, several usage-related and person-related risk factors of PIN will be discussed. With regards to the latter, the focus will be on both sociodemographic and psychiatric risk factors and on personality traits.

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Faktorielle Struktur der deutschen Version der Compulsive Internet Use Scale (CIUS) nach konfirmatorischer Faktorenanalyse

Cited by 26 publications

References 23 publications

Using two web-based addiction Stroops to measure the attentional bias in adults with Internet Gaming Disorder

Using two web-based addiction Stroops to measure the attentional bias in adults with Internet Gaming Disorder

A Phenotype Classification of Internet Use Disorder in a Large-Scale High-School Study

Problematisches Internetnutzungsverhalten (PIN) – eine Übersicht zu Messinstrumenten und Risikofaktoren

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