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COVID-19 Pandemisi Sırasında Adölesanların Akıllı Telefon Bağımlılığı ve Uyku Durumları

Year 2023, Volume: 33 Issue: 2, 226 - 231, 30.04.2023

Birsel Molu Melike Taşdelen Baş Funda Özpulat

https://doi.org/10.54005/geneltip.1243170

Abstract

Amaç: Bu tanımlayıcı çalışma, COVID-19 pandemisi sırasında adolesanların akıllı telefon bağımlılığı ve gündüz uykululuğunu araştırdı.
Yöntem: Örneklem, Türkiye’nin İç Anadolu Bölgesi’nde yaşayan 1001 adolesandan oluşmaktadır. Veriler, sosyodemografik özellikler anketi, Cleveland Ergen Uykululuk Anketi (CASQ) ve Akıllı Telefon Bağımlılığı Ölçeği-Kısa Versiyonu (Ergenler için) (SAS-SV) kullanılarak toplanmıştır. Veriler tanımlayıcı, karşılaştırmalı ve korelasyonel istatistikler kullanılarak analiz edildi.
Bulgular: Katılımcıların çoğu, pandemiden bu yana akıllı telefonlarında çok daha fazla zaman geçirdiklerini belirtti (%87,2). Katılımcıların yarısından fazlası, akıllı telefonlarında günde 90 dakikadan fazla kaldıklarını belirtti (%63.1). Katılımcıların yarısından azı zamanlarının çoğunu (%44,8) Instagram'da geçirdiklerini söyledi. Katılımcıların yarısından fazlası (%55,7) gündüz uykulu olduğunu bildirmiştir. Katılımcıların yarısından azı orta düzeyde uyku durumuna sahipti (%44,8). CASQ “okulda uyku” ile “akşam uyku” alt ölçek puanları arasında pozitif bir ilişki vardı.
Sonuç: COVID-19 pandemisi sırasında adolesanlar, gündüz uykululuğunu etkileyen akıllı telefon bağımlılığı açısından yüksek risk altındadır. Bu nedenle adolesanlarda psikolojik sorunlar ve gündüz uykululuk riskini azaltacak müdahalelere ihtiyacımız vardır.

Keywords

Adolesanlar COVİD-19 Gündüz uykululuğu Akıllı telefon bağımlılığı

References

  • Tzavela EC, Karakitsou C, Dreier M, Mavromati F, Wölfling K, Halapi E, et al. Processes discriminating adaptive and maladaptive Internet use among European adolescents highly engaged online. Journal of adolescence. 2015;40:34-47.
  • Farsani SI, Allahbakhshi K, Valipour AA, Mohammadian-Hafshejani A. Some facts on problematic Internet use and sleep disturbance among adolescents. Iranian Journal of Public Health. 2016;45(11):1531.
  • Tsitsika A, Janikian M, Schoenmakers TM, Tzavela EC, Olafsson K, Wójcik S, et al. Internet addictive behavior in adolescence: a cross-sectional study in seven European countries. Cyberpsychology, behavior, and social networking. 2014;17(8):528-35.
  • Hu T, Wang Y, Lin L, Tang W. The mediating role of daytime sleepiness between problematic smartphone use and post-traumatic symptoms in COVID-19 home-refined adolescents. Children and Youth Services Review. 2021;126:106012.
  • Kamaruddin PSNM, Nawi AM. Smartphone usage and pattern on self-reported symptoms among medical students in Universiti Kebangsaan Malaysia during the COVID-19 lockdown. 2020.
  • Bates LC, Zieff G, Stanford K, Moore JB, Kerr ZY, Hanson ED, et al. COVID-19 impact on behaviors across the 24-hour day in children and adolescents: physical activity, sedentary behavior, and sleep. Children. 2020;7(9):138.
  • Bjorvatn B, Pallesen S. A practical approach to circadian rhythm sleep disorders. Sleep medicine reviews. 2009;13(1):47-60.
  • Sonka K, Susta M. Diagnosis and management of central hypersomnias. Therapeutic advances in neurological disorders. 2012;5(5):297-305.
  • Brunborg GS, Mentzoni RA, Molde H, Myrseth H, Skouverøe KJM, Bjorvatn B, et al. The relationship between media use in the bedroom, sleep habits and symptoms of insomnia. Journal of sleep research. 2011;20(4):569-75.
  • Cain N, Gradisar M. Electronic media use and sleep in school-aged children and adolescents: A review. Sleep medicine. 2010;11(8):735-42.
  • Choi K, Son H, Park M, Han J, Kim K, Lee B, et al. Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry and clinical neurosciences. 2009;63(4):455-62.
  • Johnson JG, Cohen P, Kasen S, First MB, Brook JS. Association between television viewing and sleep problems during adolescence and early adulthood. Archives of pediatrics & adolescent medicine. 2004;158(6):562-8.
  • Van den Bulck J. Adolescent use of mobile phones for calling and for sending text messages after lights out: results from a prospective cohort study with a one-year follow-up. Sleep. 2007;30(9):1220-3.
  • Nathan N, Zeitzer J. A survey study of the association between mobile phone use and daytime sleepiness in California high school students. BMC public health. 2013;13(1):1-5.
  • Söderqvist F, Carlberg M, Hardell L. Use of wireless telephones and self-reported health symptoms: a population-based study among Swedish adolescents aged 15–19 years. Environmental Health. 2008;7(1):1-10.
  • Nasirudeen A. Lee Chin Adeline L, Wat Neo Josephine K, Lay Seng L, Wenjie L. Impact of social media usage on daytime sleepiness: A study in a sample of tertiary students in Singapore Digit Health. 2017;3:2055207617699766.
  • Alawamleh M, Al-Twait LM, Al-Saht GR. The effect of online learning on communication between instructors and students during Covid-19 pandemic. Asian Education and Development Studies. 2020.
  • Sohn SY, Rees P, Wildridge B, Kalk NJ, Carter B. Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: a systematic review, meta-analysis and GRADE of the evidence. BMC psychiatry. 2019;19(1):1-10.
  • Tahir MJ, Malik NI, Ullah I, Khan HR, Perveen S, Ramalho R, et al. Internet addiction and sleep quality among medical students during the COVID-19 pandemic: A multinational cross-sectional survey. PloS one. 2021;16(11):e0259594.
  • Spilsbury JC, Drotar D, Rosen CL, Redline S. The Cleveland adolescent sleepiness questionnaire: a new measure to assess excessive daytime sleepiness in adolescents. Journal of Clinical Sleep Medicine. 2007;3(6):603-12.
  • Çağlar S, Tokur Kesgin M. Turkish adaptation of the Cleveland Adolescent Sleepiness Questionnaire: A validity-reliability study for high school students. Cukurova Medical Journal. 2020;45(2):709-20.
  • Kwon M, Kim D, Cho H, Yang S. SAS-SV (also known as: Smartphone Addiction Scale-Short Version)(appears in: The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents.) Copyright: Creative Commons License. 2013.
  • Sata M, Karip F. Adaptation of the short version of the Smartphone Addiction Scale to Turkish culture for adolescents. Cumhuriyet International Journal of Education. 2017;6(4):426-40.
  • Cao W, Fang Z, Hou G, Han M, Xu X, Dong J, et al. The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry research. 2020;287:112934.
  • Mac Cárthaigh S, Griffin C, Perry J. The relationship between sleep and problematic smartphone use among adolescents: A systematic review. Developmental Review. 2020;55:100897.
  • Dong H, Yang F, Lu X, Hao W. Internet addiction and related psychological factors among children and adolescents in China during the coronavirus disease 2019 (COVID-19) epidemic. Frontiers in psychiatry. 2020:751.
  • Sülün AA, Yayan EH, Düken ME. The effect of the COVID-19 epidemic process on smartphone use and sleep in adolescents. Turk J Child Adolesc Ment Health. 2021;28(1):35-40.
  • Xiang M, Zhang Z, Kuwahara K. Impact of COVID-19 pandemic on children and adolescents' lifestyle behavior larger than expected. Progress in cardiovascular diseases. 2020;63(4):531.
  • Üstündağ A. Examining the Relationship Between Children's Social Media, Smartphone and Game Addiction. Journal of Addiction.23(3):1-.
  • Elhai JD, Yang H, McKay D, Asmundson GJ. COVID-19 anxiety symptoms associated with problematic smartphone use severity in Chinese adults. Journal of Affective Disorders. 2020;274:576-82.

Smartphone Addiction and Sleep Status in Adolescents during COVID-19 Pandemic

Year 2023, Volume: 33 Issue: 2, 226 - 231, 30.04.2023

Birsel Molu Melike Taşdelen Baş Funda Özpulat

https://doi.org/10.54005/geneltip.1243170

Abstract

Aim: This descriptive study investigated smartphone addiction and daytime sleepiness in adolescents during the COVID-19 pandemic.
Methods: The sample consisted of 1001 adolescents living in the Central Anatolia Region of Turkey. Data were collected using a sociodemographic characteristics questionnaire, the Cleveland Adolescent Sleepiness Questionnaire (CASQ), and the Smartphone Addiction Scale-Short Version (for Adolescents) (SAS-SV). The data were analyzed using descriptive, comparative, and correlational statistics.
Results: Most participants stated that they had spent much more time on their smartphones since the pandemic (87.2%). More than half of the participants noted that they had been on their smartphones for more than 90 minutes daily (63.1%). Less than half of the participants said they spent most of their time on Instagram (44.8%). More than half of the participants reported daytime sleepiness (55.7%). Less than half of the participants had a moderate-level sleep status (44.8%). There was a positive correlation between CASQ “sleep in school” and “sleep in the evening” subscale scores.
Conclusion: During the COVID-19 pandemic, adolescents are at high risk of smartphone addiction, affecting daytime sleepiness. Therefore, we need interventions to reduce the risk of psychological problems and daytime sleepiness in adolescents.

Keywords

Adolescents COVID-19 Daytime sleepiness Smartphone addiction

References

  • Tzavela EC, Karakitsou C, Dreier M, Mavromati F, Wölfling K, Halapi E, et al. Processes discriminating adaptive and maladaptive Internet use among European adolescents highly engaged online. Journal of adolescence. 2015;40:34-47.
  • Farsani SI, Allahbakhshi K, Valipour AA, Mohammadian-Hafshejani A. Some facts on problematic Internet use and sleep disturbance among adolescents. Iranian Journal of Public Health. 2016;45(11):1531.
  • Tsitsika A, Janikian M, Schoenmakers TM, Tzavela EC, Olafsson K, Wójcik S, et al. Internet addictive behavior in adolescence: a cross-sectional study in seven European countries. Cyberpsychology, behavior, and social networking. 2014;17(8):528-35.
  • Hu T, Wang Y, Lin L, Tang W. The mediating role of daytime sleepiness between problematic smartphone use and post-traumatic symptoms in COVID-19 home-refined adolescents. Children and Youth Services Review. 2021;126:106012.
  • Kamaruddin PSNM, Nawi AM. Smartphone usage and pattern on self-reported symptoms among medical students in Universiti Kebangsaan Malaysia during the COVID-19 lockdown. 2020.
  • Bates LC, Zieff G, Stanford K, Moore JB, Kerr ZY, Hanson ED, et al. COVID-19 impact on behaviors across the 24-hour day in children and adolescents: physical activity, sedentary behavior, and sleep. Children. 2020;7(9):138.
  • Bjorvatn B, Pallesen S. A practical approach to circadian rhythm sleep disorders. Sleep medicine reviews. 2009;13(1):47-60.
  • Sonka K, Susta M. Diagnosis and management of central hypersomnias. Therapeutic advances in neurological disorders. 2012;5(5):297-305.
  • Brunborg GS, Mentzoni RA, Molde H, Myrseth H, Skouverøe KJM, Bjorvatn B, et al. The relationship between media use in the bedroom, sleep habits and symptoms of insomnia. Journal of sleep research. 2011;20(4):569-75.
  • Cain N, Gradisar M. Electronic media use and sleep in school-aged children and adolescents: A review. Sleep medicine. 2010;11(8):735-42.
  • Choi K, Son H, Park M, Han J, Kim K, Lee B, et al. Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry and clinical neurosciences. 2009;63(4):455-62.
  • Johnson JG, Cohen P, Kasen S, First MB, Brook JS. Association between television viewing and sleep problems during adolescence and early adulthood. Archives of pediatrics & adolescent medicine. 2004;158(6):562-8.
  • Van den Bulck J. Adolescent use of mobile phones for calling and for sending text messages after lights out: results from a prospective cohort study with a one-year follow-up. Sleep. 2007;30(9):1220-3.
  • Nathan N, Zeitzer J. A survey study of the association between mobile phone use and daytime sleepiness in California high school students. BMC public health. 2013;13(1):1-5.
  • Söderqvist F, Carlberg M, Hardell L. Use of wireless telephones and self-reported health symptoms: a population-based study among Swedish adolescents aged 15–19 years. Environmental Health. 2008;7(1):1-10.
  • Nasirudeen A. Lee Chin Adeline L, Wat Neo Josephine K, Lay Seng L, Wenjie L. Impact of social media usage on daytime sleepiness: A study in a sample of tertiary students in Singapore Digit Health. 2017;3:2055207617699766.
  • Alawamleh M, Al-Twait LM, Al-Saht GR. The effect of online learning on communication between instructors and students during Covid-19 pandemic. Asian Education and Development Studies. 2020.
  • Sohn SY, Rees P, Wildridge B, Kalk NJ, Carter B. Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: a systematic review, meta-analysis and GRADE of the evidence. BMC psychiatry. 2019;19(1):1-10.
  • Tahir MJ, Malik NI, Ullah I, Khan HR, Perveen S, Ramalho R, et al. Internet addiction and sleep quality among medical students during the COVID-19 pandemic: A multinational cross-sectional survey. PloS one. 2021;16(11):e0259594.
  • Spilsbury JC, Drotar D, Rosen CL, Redline S. The Cleveland adolescent sleepiness questionnaire: a new measure to assess excessive daytime sleepiness in adolescents. Journal of Clinical Sleep Medicine. 2007;3(6):603-12.
  • Çağlar S, Tokur Kesgin M. Turkish adaptation of the Cleveland Adolescent Sleepiness Questionnaire: A validity-reliability study for high school students. Cukurova Medical Journal. 2020;45(2):709-20.
  • Kwon M, Kim D, Cho H, Yang S. SAS-SV (also known as: Smartphone Addiction Scale-Short Version)(appears in: The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents.) Copyright: Creative Commons License. 2013.
  • Sata M, Karip F. Adaptation of the short version of the Smartphone Addiction Scale to Turkish culture for adolescents. Cumhuriyet International Journal of Education. 2017;6(4):426-40.
  • Cao W, Fang Z, Hou G, Han M, Xu X, Dong J, et al. The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry research. 2020;287:112934.
  • Mac Cárthaigh S, Griffin C, Perry J. The relationship between sleep and problematic smartphone use among adolescents: A systematic review. Developmental Review. 2020;55:100897.
  • Dong H, Yang F, Lu X, Hao W. Internet addiction and related psychological factors among children and adolescents in China during the coronavirus disease 2019 (COVID-19) epidemic. Frontiers in psychiatry. 2020:751.
  • Sülün AA, Yayan EH, Düken ME. The effect of the COVID-19 epidemic process on smartphone use and sleep in adolescents. Turk J Child Adolesc Ment Health. 2021;28(1):35-40.
  • Xiang M, Zhang Z, Kuwahara K. Impact of COVID-19 pandemic on children and adolescents' lifestyle behavior larger than expected. Progress in cardiovascular diseases. 2020;63(4):531.
  • Üstündağ A. Examining the Relationship Between Children's Social Media, Smartphone and Game Addiction. Journal of Addiction.23(3):1-.
  • Elhai JD, Yang H, McKay D, Asmundson GJ. COVID-19 anxiety symptoms associated with problematic smartphone use severity in Chinese adults. Journal of Affective Disorders. 2020;274:576-82.
There are 30 citations in total.

Details

Primary Language English
Subjects Clinical Sciences
Journal Section Original Article
Authors

Birsel Molu 0000-0001-5144-286X

Melike Taşdelen Baş 0000-0002-2389-7696

Funda Özpulat 0000-0003-1209-3665

Early Pub Date April 30, 2023
Publication Date April 30, 2023
Submission Date January 27, 2023
Published in Issue Year 2023 Volume: 33 Issue: 2

Cite

Vancouver Molu B, Taşdelen Baş M, Özpulat F. Smartphone Addiction and Sleep Status in Adolescents during COVID-19 Pandemic. Genel Tıp Derg. 2023;33(2):226-31.

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