Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Generalized and Specific Problematic Internet Use in Central Siberia Adolescents: A School-Based Study of Prevalence, Age-Sex Depending Content Structure, and Comorbidity with Psychosocial Problems

Version 1 : Received: 19 May 2022 / Approved: 20 May 2022 / Online: 20 May 2022 (08:26:04 CEST)

A peer-reviewed article of this Preprint also exists.

Tereshchenko, S.; Kasparov, E.; Semenova, N.; Shubina, M.; Gorbacheva, N.; Novitckii, I.; Moskalenko, O.; Lapteva, L. Generalized and Specific Problematic Internet Use in Central Siberia Adolescents: A School-Based Study of Prevalence, Age–Sex Depending Content Structure, and Comorbidity with Psychosocial Problems. Int. J. Environ. Res. Public Health 2022, 19, 7593. Tereshchenko, S.; Kasparov, E.; Semenova, N.; Shubina, M.; Gorbacheva, N.; Novitckii, I.; Moskalenko, O.; Lapteva, L. Generalized and Specific Problematic Internet Use in Central Siberia Adolescents: A School-Based Study of Prevalence, Age–Sex Depending Content Structure, and Comorbidity with Psychosocial Problems. Int. J. Environ. Res. Public Health 2022, 19, 7593.

Abstract

We aimed to assess the prevalence, content structure and psychological comorbidity of PIU in Russian adolescents. In addition, the design of our research provided an opportunity to compare demographic and psychological patterns of different forms of PIU: generalised (PIUgen) and specific – problematic video game use (PUgame) as well as problematic social media use (PUsocial). Methods: This is a one-stage cross-sectional observational study of school sampling in three major Siberian cities. A total of 4514 schoolchildren aged 12-18 (mean age 14.52±1.52 years) were surveyed. Chen Internet Addiction Scale, Game Addiction Scale for Adolescents”, and The Social Media Disorder Scale were used to identify PIU and its types. Results: The prevalence of PIUgen among adolescents in Central Siberia was 7.2%; the prevalence of PUgame was 10.4%; the prevalence of PUsocial was 8.0%. The results of structural equation modelling, as well as the correlation analysis data, suggest two possible patterns of psychosocial problems with PIU – the first one characteristic of both PIUgen and PUsocial, the second one, significantly different, – of PUgame. Conclusions: Urban adolescents in Central Siberia do not differ significantly from their Asian and European peers. Our findings support the concept of rejecting the term “generalised PIU” as a single psychological construct.

Keywords

adolescents; Internet addiction; problematic Internet use; game addiction; social media addiction; Russia

Subject

Social Sciences, Psychology

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