scholarly journals Problematic Internet Use and Problematic Online Gaming Are Not the Same: Findings from a Large Nationally Representative Adolescent Sample

2014 ◽  
Vol 17 (12) ◽  
pp. 749-754 ◽  
Author(s):  
Orsolya Király ◽  
Mark D. Griffiths ◽  
Róbert Urbán ◽  
Judit Farkas ◽  
Gyöngyi Kökönyei ◽  
...  
2020 ◽  
Vol 9 (2) ◽  
pp. 272-288 ◽  
Author(s):  
Eszter Kotyuk ◽  
Anna Magi ◽  
Andrea Eisinger ◽  
Orsolya Király ◽  
Andrea Vereczkei ◽  
...  

AbstractBackground and aimsChanges in the nomenclature of addictions suggest a significant shift in the conceptualization of addictions, where non-substance related behaviors can also be classified as addictions. A large amount of data provides empirical evidence that there are overlaps of different types of addictive behaviors in etiology, phenomenology, and in the underlying psychological and biological mechanisms. Our aim was to investigate the co-occurrences of a wide range of substance use and behavioral addictions.MethodsThe present epidemiological analysis was carried out as part of the Psychological and Genetic Factors of the Addictive Behaviors (PGA) Study, where data were collected from 3,003 adolescents and young adults (42.6% males; mean age 21 years). Addictions to psychoactive substances and behaviors were rigorously assessed.ResultsData is provided on lifetime occurrences of the assessed substance uses, their co-occurrences, the prevalence estimates of specific behavioral addictions, and co-occurrences of different substance use and potentially addictive behaviors. Associations were found between (i) smoking and problematic Internet use, exercising, eating disorders, and gambling (ii) alcohol consumption and problematic Internet use, problematic online gaming, gambling, and eating disorders, and (iii) cannabis use and problematic online gaming and gambling.ConclusionsThe results suggest a large overlap between the occurrence of these addictions and behaviors and underlies the importance of investigating the possible common psychological, genetic and neural pathways. These data further support concepts such as the Reward Deficiency Syndrome and the component model of addictions that propose a common phenomenological and etiological background of different addictive and related behaviors.


PLoS ONE ◽  
2016 ◽  
Vol 11 (8) ◽  
pp. e0159409 ◽  
Author(s):  
Zsolt Demetrovics ◽  
Orsolya Király ◽  
Beatrix Koronczai ◽  
Mark D. Griffiths ◽  
Katalin Nagygyörgy ◽  
...  

2015 ◽  
Vol 45 ◽  
pp. 177-184 ◽  
Author(s):  
Valeria Siciliano ◽  
Luca Bastiani ◽  
Lorena Mezzasalma ◽  
Danica Thanki ◽  
Olivia Curzio ◽  
...  

2020 ◽  
pp. 003329412091348 ◽  
Author(s):  
Lutz Wartberg ◽  
Matthias Zieglmeier ◽  
Rudolf Kammerl

Problematic gaming (PG) has been included in the DSM-5 and ICD-11. But, it is still controversially discussed, if problematic (online-) gaming is a subtype of problematic Internet use (PIU) or if both behavior patterns should be distinguished. In joint samples, the relationships between PIU and PG and correlates have so far only been investigated in cross-sectional studies. This is the first longitudinal study to determine predictors of PIU, PG, and a combined occurrence of PIU and PG (PIU + PG) together in one sample. Overall, 985 family dyads (one parent and her/his child) were interviewed twice (at t1 and t2, with one year in between) with a standardized questionnaire regarding PIU, PG and psychosocial aspects. Predictors for adolescent PIU, PG, and PIU + PG were determined with a multinomial logistic regression analysis. The following were our findings: (a) PIU (t2) was predicted by stronger emotional distress (t1) and PIU (t1); (b) PG (t2) by male gender, more self-esteem problems (t1), stronger hyperactivity/inattention (t1), and PG (t1); and (c) PIU + PG (t2) by male gender, stronger hyperactivity/inattention (t1), and PG (t1). Partly different patterns of predictors were observed for the development of PIU and PG. The results indicate not only commonalities but also differences in the etiology of these behavior patterns.


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