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: generalized (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. The Chen Internet Addiction Scale, the 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 is characteristic of both PIUgen and PUsocial. The second one—which is significantly different—is characteristic 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 “generalized PIU” as a single psychological construct.

Интернет-зависимость у подростков Центральной Сибири: анализ распространенности и структура потребляемого контента

Relevance. Widespread among adolescents bullying usually shows as traditional bullying (TB) and cyberbullying (CB). The public health relevance of bullying is that it can lead to emotional distress, social maladjustment and suicidal behavior. Aim. To analyze the prevalence of traditional bullying and cyberbullying among adolescents, to assess the social roles of participants and methods of intimidation with regard to gender differences. Materials and methods. Data collection was carried out in 2015–2017 within EACMHS. With the continuous method there were examined six hundred ninety two students of secondary schools in Krasnoyarsk (364 girls) aged 11–17 years (average age is 14.6 ± 1.3). A questionnaire including two sets of questions related to bullying and cyberbullying developed by the EACMHS was used. Results. The TB prevalence is 28.7% (26.5% — boys, 30.8% — girls), the СB prevalence is 25.7% (33.5% — boys, 18.9% — girls). TB and CB can occur both independently and in combination, increasing the prevalence of bullying as a whole up to 43.1% (where only TB — 17.2%, only CB — 14.3%, both types — 11.6 %). Boys are more likely to be the aggressors. The most common methods of bullying are name calling (17.5% for TB, 15.3% for CB). Girls are more often bullied because of their appearance (19.5%), boys are more often by dangers (14.3%) and threats (13.4%). Limitations. Adolescents living in one city were examined. One source of information was used. Conclusions. The high involvement of adolescents in bullying requires the development of preventive measures.

To establish the relationship between disturbances of the regime and quality of night sleep and daytime sleepiness in adolescents from Central Siberia with internet addiction with different types of content consumed. A single cross-sectional observational study of a school sample in three large cities in Siberia was performed. The study included 4615 schoolchildren aged 12-18 years (46.2% boys and 53.8% girls, average age 14.58±0.02 years). To identify Internet addiction and its types the following tests were used: the Chen scale (CIAS), adapted by V.L. Malygin and K.A. Feklisov; Russian-language versions of the Game Addiction Scale for Adolescents and the Social Media Disorder Scale. Questions from the Pittsburgh Sleep Quality Index (PSQI) were used to assess nighttime sleep. Daytime sleepiness was assessed by the Pediatric Daytime Sleepiness Scale (PDSS). Adolescents with Internet addiction are characterized by late going to bed (p<0.001), late awakening (p=0.016), a decrease in the duration of night sleep (p=0.004), an increase in the time to fall asleep and frequent nighttime awakenings (p=0.017), and more pronounced daytime sleepiness (p<0.001). Internet-addicted adolescents are characterized by significant disturbances in the quality of night sleep, which requires appropriate psychological and pedagogical correction.