Internet gaming disorder clustering based on personality traits in adolescents, and its relation with comorbid psychological symptoms
González-Bueso, Vega (Generalitat de Catalunya. Atención e Investigación en Socioadicciones (AIS))
Santamaría, Juan José (Generalitat de Catalunya. Atención e Investigación en Socioadicciones (AIS))
Oliveras, Ignasi (Universitat Autònoma de Barcelona. Institut de Neurociències)
Fernández, Daniel (Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa)
Montero, Elena (Universitat Autònoma de Barcelona. Departament de Psiquiatria i de Medicina Legal)
Baño, Marta (Generalitat de Catalunya. Atención e Investigación en Socioadicciones (AIS))
Jiménez-Murcia, Susana (Universitat de Barcelona. Departament de Ciències Clíniques)
Del Pino-Gutiérrez, Amparo (Universitat de Barcelona. Escola d'Infermeria)
Ribas, Joan (Generalitat de Catalunya. Atención e Investigación en Socioadicciones (AIS))

Date:	2020
Abstract:	In recent years, the evidence regarding Internet Gaming Disorder (IGD) suggests that some personality traits are important risk factors for developing this problem. The heterogeneity involved in problematic online gaming and differences found in the literature regarding the comorbid psychopathology associated with the problem could be explained through different types of gamers. Clustering analysis can allow organization of a collection of personality traits into clusters based on similarity. The objectives of this study were: (1) to obtain an empirical classification of IGD patients according to personality variables and (2) to describe the resultant groups in terms of clinical and sociodemographic variables. The sample included 66 IGD adolescent patients who were consecutive referrals at a mental health center in Barcelona, Spain. A Gaussian mixture model cluster analysis was used in order to classify the subjects based on their personality. Two clusters based on personality traits were detected: type I "higher comorbid symptoms" (n = 24), and type II "lower comorbid symptoms" (n = 42). The type I included higher scores in introversive, inhibited, doleful, unruly, forceful, oppositional, self-demeaning and borderline tendency traits, and lower scores in histrionic, egotistic and conforming traits. The type I obtained higher scores on all the Symptom Check List-90 items-Revised, all the State-Trait Anxiety Index scales, and on the DSM-5 IGD criteria. Differences in personality can be useful in determining clusters with different types of dysfunctionality.
Grants:	Agencia Estatal de Investigación RTI2018-100927-J-I00 Agència de Gestió d'Ajuts Universitaris i de Recerca 2017-SGR-622
Note:	Altres ajuts: This work was funded by an AIS (Atención e Investigación en Socioaddiciones) intramural research program. This research is partially supported by the Marsden grant E2987-3648 (Royal Society of New Zealand).
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Internet gaming disorder ; Cluster analysis ; Video game ; Video game addiction ; Personality ; Comorbidity
Published in:	International journal of environmental research and public health, Vol. 17 Núm. 5 (february 2020) , p. 1516, ISSN 1660-4601

DOI: 10.3390/ijerph17051516
PMID: 32111070

13 p, 538.9 KB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Health sciences and biosciences > Institut de Neurociències (INc)
Articles > Research articles
Articles > Published articles