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Internet Addiction and Sleep Problems among Russian Adolescents: A Field School-Based Study

Author

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  • Sergey Tereshchenko

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

  • Edward Kasparov

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

  • Marina Smolnikova

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

  • Margarita Shubina

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

  • Nina Gorbacheva

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

  • Olga Moskalenko

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

Abstract

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.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10397-:d:648938
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    3. 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.

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