» Articles » PMID: 31703666

Problematic Use of the Internet is a Unidimensional Quasi-trait with Impulsive and Compulsive Subtypes

Overview
Journal BMC Psychiatry
Publisher Biomed Central
Specialty Psychiatry
Date 2019 Nov 10
PMID 31703666
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Problematic use of the Internet has been highlighted as needing further study by international bodies, including the European Union and American Psychiatric Association. Knowledge regarding the optimal classification of problematic use of the Internet, subtypes, and associations with clinical disorders has been hindered by reliance on measurement instruments characterized by limited psychometric properties and external validation.

Methods: Non-treatment seeking individuals were recruited from the community of Stellenbosch, South Africa (N = 1661), and Chicago, United States of America (N = 827). Participants completed an online version of the Internet Addiction Test, a widely used measure of problematic use of the Internet consisting of 20-items, measured on a 5-point Likert-scale. The online questions also included demographic measures, time spent engaging in different online activities, and clinical scales. The psychometric properties of the Internet Addiction Test, and potential problematic use of the Internet subtypes, were characterized using factor analysis and latent class analysis.

Results: Internet Addiction Test data were optimally conceptualized as unidimensional. Latent class analysis identified two groups: those essentially free from Internet use problems, and those with problematic use of the Internet situated along a unidimensional spectrum. Internet Addiction Test scores clearly differentiated these groups, but with different optimal cut-offs at each site. In the larger Stellenbosch dataset, there was evidence for two subtypes of problematic use of the Internet that differed in severity: a lower severity "impulsive" subtype (linked with attention-deficit hyperactivity disorder), and a higher severity "compulsive" subtype (linked with obsessive-compulsive personality traits).

Conclusions: Problematic use of the Internet as measured by the Internet Addiction Test reflects a quasi-trait - a unipolar dimension in which most variance is restricted to a subset of people with problems regulating Internet use. There was no evidence for subtypes based on the type of online activities engaged in, which increased similarly with overall severity of Internet use problems. Measures of comorbid psychiatric symptoms, along with impulsivity, and compulsivity, appear valuable for differentiating clinical subtypes and could be included in the development of new instruments for assessing the presence and severity of Internet use problems.

Citing Articles

Investigating behavioural addictions in adults with and without attention deficit hyperactivity disorder.

Findon J, Muck A, Tothpal-Davison B, Dommett E PLoS One. 2025; 20(2):e0317525.

PMID: 39908223 PMC: 11798432. DOI: 10.1371/journal.pone.0317525.


A comprehensive evaluation of the neurocognitive predictors of problematic alcohol use, eating, pornography, and internet use: A 6-month longitudinal study.

Christensen E, Albertella L, Chamberlain S, Suo C, Brydevall M, Grant J J Behav Addict. 2024; 13(3):823-840.

PMID: 39141435 PMC: 11457023. DOI: 10.1556/2006.2024.00041.


Stress and suicide risk among adolescents: the role of problematic internet use, gaming disorder and emotional regulation.

Chamarro A, Diaz-Moreno A, Bonilla I, Cladellas R, Griffiths M, Gomez-Romero M BMC Public Health. 2024; 24(1):326.

PMID: 38291407 PMC: 10826210. DOI: 10.1186/s12889-024-17860-z.


Internet addiction and suicidal behavior among vocational high school students in Hunan Province, China: A moderated mediation model.

Teng Z, Zhang Y, Wei Z, Liu M, Tang M, Deng Y Front Public Health. 2023; 10:1063605.

PMID: 36703819 PMC: 9871611. DOI: 10.3389/fpubh.2022.1063605.


Internet severity and activities addiction questionnaire (ISAAQ): Psychometrics of item response theory and clustering of online activities.

Ioannidis K, Tiego J, Lutz N, Omrawo C, Yucel M, Grant J Compr Psychiatry. 2023; 122:152366.

PMID: 36702061 PMC: 9993400. DOI: 10.1016/j.comppsych.2023.152366.


References
1.
Milosevic A, Ledgerwood D . The subtyping of pathological gambling: a comprehensive review. Clin Psychol Rev. 2010; 30(8):988-98. DOI: 10.1016/j.cpr.2010.06.013. View

2.
Ioannidis K, Treder M, Chamberlain S, Kiraly F, Redden S, Stein D . Problematic internet use as an age-related multifaceted problem: Evidence from a two-site survey. Addict Behav. 2018; 81:157-166. PMC: 5849299. DOI: 10.1016/j.addbeh.2018.02.017. View

3.
Rodriguez A, Reise S, Haviland M . Applying Bifactor Statistical Indices in the Evaluation of Psychological Measures. J Pers Assess. 2015; 98(3):223-37. DOI: 10.1080/00223891.2015.1089249. View

4.
Silvia E, MacCallum R . Some Factors Affecting the Success of Specification Searches in Covariance Structure Modeling. Multivariate Behav Res. 2016; 23(3):297-326. DOI: 10.1207/s15327906mbr2303_2. View

5.
Edelen M, Reeve B . Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Qual Life Res. 2007; 16 Suppl 1:5-18. DOI: 10.1007/s11136-007-9198-0. View