This study aims to establish a link between disturbances in the night sleep habitus, quality of sleep, and daytime sleepiness in adolescents with Internet addiction and different types of content consumed. Methods: This is a cross-sectional observational study of a school sample in three large cities in Central Siberia. 4615 schoolchildren of 12–18 years old were examined. The Russian-language versions of the Chen Internet Addiction Scale, the Game Addiction Scale for Adolescents, and the Social Media Disorder Scale were used to identify Internet addiction. Questions from the Pittsburgh Sleep Quality Index questionnaire were used to assess nighttime sleep. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale questionnaire. Results: Adolescents with Internet addiction go to bed and wake up late; they are characterized by a decrease in the duration of nighttime sleep, an increase in sleep onset latency, and frequent nighttime awakenings, as well as more pronounced daytime sleepiness. Among the sleep parameters studied, the indicators of daytime sleepiness and night awakening scales have the highest effect size in Internet-addicted adolescents, regardless of the media consumed. Conclusion: Internet-addicted adolescents are characterized by significant disturbances in the quality of nighttime sleep and excessive daytime sleepiness, which requires appropriate psychological correction.

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.

This study aims to establish a link between disturbances in the night sleep habitus, quality of sleep, and daytime sleepiness in adolescents with Internet addiction and different types of content consumed. Methods: This is a cross-sectional observational study of a school sample in three large cities in Central Siberia. 4,615 schoolchildren of 12–18 years old were examined. The Russian-language versions of the Chen Internet Addiction Scale, the Game Addiction Scale for Adolescents, and the Social Media Disorder Scale were used to identify Internet addiction. Questions from the Pittsburgh Sleep Quality Index questionnaire were used to assess nighttime sleep. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale questionnaire. Results: Adolescents with Internet addiction go to bed and wake up late; they are characterized by a decrease in the duration of nighttime sleep, an increase in sleep onset latency, and frequent nighttime awakenings, as well as more pronounced daytime sleepiness. Among the sleep parameters studied, the indicators of daytime sleepiness and night awakening scales have the highest effect size in Internet-addicted adolescents, regardless of the media consumed. Conclusion: Internet-addicted adolescents are characterized by significant disturbances in the quality of nighttime sleep and excessive daytime sleepiness, which requires appropriate psychological correction.

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.

With the rapid growth of the video game industry and the increasing availability of online gaming worldwide, problematic gaming behaviors are on the rise, with significant psychosocial and somatic consequences. The aim of this study was to translate and validate the Russian version of the Game Addiction Scale for Adolescents (GASA), a brief 7-item psychometric instrument to identify addiction to computer games in adolescents. Methods. The GASA questionnaire was translated into Russian and tested on a sample of 2380 adolescents ages 11- 19 from schools in Krasnoyarsk. Internal consistency, factor structure, and concurrent validity of the GASA-RU were examined using exploratory factor analysis, confirmatory factor analysis, and relationships with the Chen Internet Addiction Scale (CIAS) and the Strengths and Difficulties Questionnaire (SDQ). Retest reliability at 6-month intervals was also assessed. Results. The GASA-RU questionnaire demonstrated good internal consistency (Cronbach's alpha = 0.81) and retest reliability (Spearman correlation coefficient = 0.56; p. Confirmatory factor analysis confirmed the single-factor structure of the questionnaire, consistent with its theoretical model: χ2 - 373 (df=14; p. Significant positive correlations were found between the scores of the GASA-RU and CIAS questionnaires and the different subscales of the SDQ questionnaire, indicating good external validity. The prevalence of game addiction was 10.9% (16.2% among boys and 6.3% among girls). Conclusion. The Russian-language version of the GASA questionnaire demonstrated adequate reliability and validity comparable to the original scale. The GASA-RU questionnaire appears to be a useful brief screening tool to assess the risk of computer game addiction in different populations of Russian-speaking adolescents.

ВВЕДЕНИЕ Многочисленные исследования подтверждают взаимосвязь интернет-зависимости (ИЗ) с психосоматическими расстройствами. Тем не менее данные о связи ИЗ с головными болями (ГБ) у подростков недостаточны и противоречивы. ЦЕЛЬ ИССЛЕДОВАНИЯ Установить частоту встречаемости основных видов ГБ у подростков с ИЗ с учетом используемого контента, пола и возраста. МАТЕРИАЛ И МЕТОДЫ Обследованы 5195 подростков 11—18 лет из крупных городов Сибири. ИЗ выявлялась по Chen Internet Addiction Scale. Вид ИЗ по предпочитаемому контенту определялся по шкале игровой зависимости (ИгрЗ) — Game Addiction Scale и по шкале зависимости от социальных сетей (СоцЗ) — Social Media Disorder Scale. Вид ГБ (мигрень или головная боль напряжения (ГБН)) устанавливался с помощью анкеты согласно международным критериям ГБ (The International Classification of Headache Disorders, 3rd edition (beta version), 2013). Статистическая обработка осуществлялась в компьютерной программе Statistica 10 с использованием критерия Краскела—Уоллиса и точного двустороннего критерия Фишера. РЕЗУЛЬТАТЫ У детей с ИЗ достоверно чаще, чем в контрольной группе, отмечалась мигрень (29,8 и 13,9% соответственно, p<0,001), в то время как частота ГБН (10,7%) не отличалась от таковой в контрольной группе (13,9%, p=0,384). Установлена прямая связь мигрени с СоцЗ (35,1% при 19,5% в контрольной группе, p=0,002) и не выявлено ее связи с ИгрЗ (8,1% при 13,9% в контрольной группе, p=0,168). Не установлено связи ГБН с СоцЗ и с ИгрЗ. Выявлены гендерные и возрастные различия за счет ГБН: 20,5% у девочек при 7,8% у мальчиков (p=0,002); 21,8% в 15—18 лет при 8,5% в 11—14 лет (p=0,001). Однако при ИЗ эти различия стираются и уже во всех группах преобладает мигрень. ВЫВОДЫ ИЗ, в частности СоцЗ, у подростков имеет тесную взаимосвязь с мигренью. Остаются неясными вопросы об отсутствии связи ИЗ с ГБН, а также ИгрЗ с ГБ, что требует дополнительных исследований.