ArticleJMIR mental health
Factor Structure of the Internet Addiction Test in Online Gamers and Poker Players.
Article in JMIR mental health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Personality and impulsivity traits associated with problematic online gaming and poker playing.Scientific reports · 2025Article
- Behavioral addictions and their reciprocal associations with each other, substance use disorders, and mental health problems: Findings from a longitudinal cohort study of young Swiss men.Journal of behavioral addictions · 2025Article
- Symptom-level interactions between anxiety and internet addiction in Chinese adolescents: a large-scale network and residence difference analysis.Frontiers in psychiatry · 2025Article
- Internet addiction: the Czech and Slovak adolescent population.BMC psychology · 2024Article
- Factorial structure of the Internet Gaming Disorder questionnaire in the Italian setting: a single-factored ailment or a multifaceted condition?European child & adolescent psychiatry · 2024Article
- How much online pornography is too much? A comparison of two theoretically distinct assessment scales.Archives of public health = Archives belges de sante publique · 2024Article
- Evaluation of the Psychometric Properties of the Arab Compulsive Internet Use Scale (CIUS) by Item Response Theory Modeling (IRT).International journal of environmental research and public health · 2022Article
- Measurement of the problematic usage of the Internet unidimensional quasitrait continuum with item response theory.Psychological assessment · 2021Article
- Compulsive Health-Related Internet Use and Cyberchondria.European addiction research · 2021Article
- Cue-Reactivity Among Young Adults With Problematic Instagram Use in Response to Instagram-Themed Risky Behavior Cues: A Pilot fMRI Study.Frontiers in psychology · 2020Article
- Contribution of sexual desire and motives to the compulsive use of cybersex.Journal of behavioral addictions · 2019Article
- Sexual Desire, Mood, Attachment Style, Impulsivity, and Self-Esteem as Predictive Factors for Addictive Cybersex.JMIR mental health · 2019Article
- Factor structure of the Cybersex Motives Questionnaire.Journal of behavioral addictions · 2018Article
- Game Addiction Scale Assessment Through a Nationally Representative Sample of Young Adult Men: Item Response Theory Graded-Response Modeling.Journal of medical Internet research · 2018Article
- Problematic internet use as an age-related multifaceted problem: Evidence from a two-site survey.Addictive behaviors · 2018Article
- Disentangling the role of users' preferences and impulsivity traits in problematic Facebook use.PloS one · 2018Article
- Internet Gamblers Differ on Social Variables: A Latent Class Analysis.Journal of gambling studies · 2017Article
- The Hierarchical Implications of Internet Gaming Disorder Criteria: Which Indicate more Severe Pathology?Psychiatry investigation · 2017Article
- Are Mental Health Effects of Internet Use Attributable to the Web-Based Content or Perceived Consequences of Usage? A Longitudinal Study of European Adolescents.JMIR mental health · 2016Article
- Psychometric properties of the 7-item game addiction scale among french and German speaking adults.BMC psychiatry · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Internet Addiction Test (IAT) is the most widely used questionnaire to screen for problematic Internet use. Nevertheless, its factorial structure is still debated, which complicates comparisons among existing studies. Most previous studies were performed with students or community samples despite the probability of there being more problematic Internet use among users of specific applications, such as online gaming or gambling.
objectiveTo assess the factorial structure of a modified version of the IAT that addresses specific applications, such as video games and online poker.
methodsTwo adult samples-one sample of Internet gamers (n=920) and one sample of online poker players (n=214)-were recruited and completed an online version of the modified IAT. Both samples were split into two subsamples. Two principal component analyses (PCAs) followed by two confirmatory factor analyses (CFAs) were run separately.
resultsThe results of principal component analysis indicated that a one-factor model fit the data well across both samples. In consideration of the weakness of some IAT items, a 17-item modified version of the IAT was proposed.
conclusionsThis study assessed, for the first time, the factorial structure of a modified version of an Internet-administered IAT on a sample of Internet gamers and a sample of online poker players. The scale seems appropriate for the assessment of such online behaviors. Further studies on the modified 17-item IAT version are needed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.