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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

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  • Sergey Tereshchenko

    (Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia)

  • Edward Kasparov

    (Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia)

  • Nadezhda Semenova

    (Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia)

  • Margarita Shubina

    (Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia)

  • Nina Gorbacheva

    (Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia)

  • Ivan Novitckii

    (Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia)

  • Olga Moskalenko

    (Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia)

  • Ludmila Lapteva

    (Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Research Institute of Medical Problems of the North, 660022 Krasnoyarsk, Russia)

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: 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.

Suggested Citation

  • Sergey Tereshchenko & Edward Kasparov & Nadezhda Semenova & Margarita Shubina & Nina Gorbacheva & Ivan Novitckii & Olga Moskalenko & Ludmila Lapteva, 2022. "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," IJERPH, MDPI, vol. 19(13), pages 1-19, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:7593-:d:844433
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    References listed on IDEAS

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    1. Sergey Tereshchenko & Edward Kasparov & Marina Smolnikova & Margarita Shubina & Nina Gorbacheva & Olga Moskalenko, 2021. "Internet Addiction and Sleep Problems among Russian Adolescents: A Field School-Based Study," IJERPH, MDPI, vol. 18(19), pages 1-18, October.
    2. Tony Durkee & Vladimir Carli & Birgitta Floderus & Camilla Wasserman & Marco Sarchiapone & Alan Apter & Judit A. Balazs & Julio Bobes & Romuald Brunner & Paul Corcoran & Doina Cosman & Christian Harin, 2016. "Pathological Internet Use and Risk-Behaviors among European Adolescents," IJERPH, MDPI, vol. 13(3), pages 1, March.
    3. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    4. Olatz Lopez-Fernandez, 2018. "Generalised Versus Specific Internet Use-Related Addiction Problems: A Mixed Methods Study on Internet, Gaming, and Social Networking Behaviours," IJERPH, MDPI, vol. 15(12), pages 1-33, December.
    5. Leena Paakkari & Jorma Tynjälä & Henri Lahti & Kristiina Ojala & Nelli Lyyra, 2021. "Problematic Social Media Use and Health among Adolescents," IJERPH, MDPI, vol. 18(4), pages 1-11, February.
    6. Vega González-Bueso & Juan José Santamaría & Daniel Fernández & Laura Merino & Elena Montero & Joan Ribas, 2018. "Association between Internet Gaming Disorder or Pathological Video-Game Use and Comorbid Psychopathology: A Comprehensive Review," IJERPH, MDPI, vol. 15(4), pages 1-20, April.
    7. Adem Sümen & Derya Evgin, 2021. "Social Media Addiction in High School Students: A Cross-Sectional Study Examining Its Relationship with Sleep Quality and Psychological Problems," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(6), pages 2265-2283, December.
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    1. Thao Thi Phuong Nguyen & Ha Ngoc Do & Thao Bich Thi Vu & Khanh Long Vu & Hiep Duy Nguyen & Dung Tuan Nguyen & Hoang Minh Do & Nga Thi Thu Nguyen & Ly Thi Bac La & Linh Phuong Doan & Tham Thi Nguyen & , 2023. "Association of Individual and Neighborhood Characteristics to Problematic Internet Use among Youths and Adolescents: Evidence from Vietnam," IJERPH, MDPI, vol. 20(3), pages 1-14, January.

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