Internet Gaming Disorder Clustering Based on Personality Traits in Adolescents, and Its Relation with Comorbid Psychological Symptoms.

Autor:	González-Bueso V; Atención e Investigación en Socioadicciones (AIS), Mental Health and Addictions Network. Generalitat de Catalunya (XHUB), 08014 Barcelona, Spain., Santamaría JJ; Atención e Investigación en Socioadicciones (AIS), Mental Health and Addictions Network. Generalitat de Catalunya (XHUB), 08014 Barcelona, Spain., Oliveras I; Department of Psychiatry & Forensic Medicine, Institute of Neurosciences, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain., Fernández D; Research and Development Unit, Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain.; Serra Húnter fellow, Department of Statistics and Operations Research, Polytechnic University ofCatalonia-BarcelonaTech, 08028 Barcelona, Spain.; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, 28029 Madrid, Spain., Montero E; Department of Psychiatry & Forensic Medicine, Institute of Neurosciences, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain., Baño M; Atención e Investigación en Socioadicciones (AIS), Mental Health and Addictions Network. Generalitat de Catalunya (XHUB), 08014 Barcelona, Spain., Jiménez-Murcia S; Pathological Gambling Unit, Department of Psychiatry. Bellvitge University Hospital-IDIBELL, 08907 Barcelona, Spain.; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029 Madrid, Spain.; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, 08907 Barcelona, Spain., Del Pino-Gutiérrez A; Pathological Gambling Unit, Department of Psychiatry. Bellvitge University Hospital-IDIBELL, 08907 Barcelona, Spain.; Nursing Department of Mental Health, Public Health, Maternal and Child Health, Nursing School of the University of Barcelona, 08907 Barcelona, Spain., Ribas J; Atención e Investigación en Socioadicciones (AIS), Mental Health and Addictions Network. Generalitat de Catalunya (XHUB), 08014 Barcelona, Spain.
Jazyk:	angličtina
Zdroj:	International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Feb 26; Vol. 17 (5). Date of Electronic Publication: 2020 Feb 26.
DOI:	10.3390/ijerph17051516
Abstrakt:	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. Competing Interests: The authors declare no conflict of interest.
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu