9-18 Yaş Çocuklarda Dijital Ekran Bağımlılığının Uyku Bozukluğu, Fiziksel Aktivite Öz Yeterliliği, Sağlıklı Yeme Öz Yeterliliği ve Kronotipe Etkisinin Değerlendirilmesi

Yıl 2025, Cilt: 6 Sayı: 2, 162 - 178, 31.08.2025

Ayfer Beyaz Coşkun , Şeyma Nur Demirel

https://doi.org/10.58605/bingolsaglik.1746730

Öz

Sosyal medya bağımlılığı belirtilerinin fiziksel ve duygusal tepkiler, psikolojik ve kişilerarası sorunlar şeklinde ortaya çıkabileceği belirtilmektedir. Bu çalışma 9-18 yaş adolesanlarda dijital bağımlılığın uyku, kronotip, sağlıklı yeme özyeterliliği ve fiziksel aktivite öz yeterliliği üzerine etkilerinin incelenmesi amacıyla gerçekleştirilmiştir. Bu çalışma Elazığ/Türkiye’de Milli Eğitim Bakanlığı’na bağlı okullarda okuyan 9-18 yaş aralığında 1895 adolesan birey ile yürütülmüştür. Uygulanan anket formu demografik veriler ve kronotip, fiziksel aktivite öz yeterlik, sağlıklı yeme öz-yeterlik, uyku bozukluğu ve dijital bağımlılık ölçeklerinden oluşmaktadır. Çalışmaya katılan adolesanların %5.2’sinin sabahçıl, %46.3’ünün ara tip ve %48.5’inin akşamcıl olduğu bulunmuştur. Dijital bağımlılığın fiziksel aktivite özyeterlik düzeyini (p<0.001) ve sağlıklı yeme özyeterlik düzeyini (p<0.001) etkilediği görülmüştür. Dijital bağımlılığın içe dönük faktörler alt boyutunun ise kronotip düzeyini anlamlı ve pozitif yönde etkilediği görülmektedir (p<0.01). Dijital bağımlılık ölçeği alt boyutlarının uyku başlatma ve sürdürme sorunları (p<0.001), uykuda solunum bozuklukları (p<0.001), uyanıklık reaksiyonları bozukluğu (p<0.001), uyku uyanıklık geçiş bozuklukları (p<0.001) ve aşırı uykululuk bozuklukları (p<0.001) üzerinde etkileri olduğu görülmüştür. Sonuç olarak dijital bağımlılığın artması, katılımcıların fiziksel aktiviteye ilişkin öz-yeterlik düzeyleri, sağlıklı yeme öz-yeterlik düzeyleri ve uyku bozuklukları üzerinde olumsuz bir etki göstermiştir.

Anahtar Kelimeler

Dijital bağımlılık , Fiziksel aktivite , Sağlıklı beslenme , Kronotip , Uyku bozukluğu

Etik Beyan

Bu çalışma Fırat Üniversitesi Girişimsel Olmayan Araştırmalar Etik Kurulu tarafından onaylandı (onay numarası: 2024/12-54) ve etik kurallara uyuldu. Etik kurul onayının ardından Milli Eğitim Bakanlığı'ndan MEB.TT.2025.015211.01 başvuru numarasıyla çalışma izni alındı. Çalışma, Helsinki Bildirgesi'ne uygun olarak insan çalışmaları için yürütüldü ve çalışmaya dahil edilen tüm katılımcılardan aydınlatılmış onam alındı.

Destekleyen Kurum

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Teşekkür

Çalışmanın verilerinin toplanmasında yardımlarını esirgemeyen Aslınur KILINÇ, Ayşenur CAN, Dilanur KILIÇ ve Petek YAZAR'a ve çalışmaya katılan tüm öğrencilere teşekkür ederiz.

Evaluation of the Effects of Digital Screen Addiction on Sleep Disorder, Physical Activity Self-Efficacy, Healthy Eating Self-Efficacy, and Chronotype in Children Aged 9-18

Öz

It has been reported that symptoms of social media addiction can manifest as physical and emotional reactions, as well as psychological and interpersonal problems. This study was conducted to examine the effects of digital addiction on sleep, chronotype, healthy eating self-efficacy and physical activity self-efficacy in adolescents aged 9-18. This study was conducted with 1895 adolescents aged 9-18 studying in schools affiliated with the Ministry of National Education in Elazığ, Turkey. The questionnaire form consisted of demographic data and scales for chronotype, physical activity self-efficacy, healthy eating self-efficacy, sleep disturbance, and digital addiction. Of the adolescents participating in the study, 5.2% were morning people, 46.3% were intermediate, and 48.5% were evening people. Digital addiction was found to affect physical activity self-efficacy (p<0.001) and healthy eating self-efficacy (p<0.001). The introverted factors subscale of digital addiction was found to have a significant and positive effect on chronotype levels (p<0.01). The digital addiction scale subscales were found to have effects on sleep initiation and maintenance problems (p<0.001), sleep-disordered breathing (p<0.001), arousal reaction disorders (p<0.001), sleep-wake transition disorders (p<0.001), and excessive sleepiness disorders (p<0.001). Consequently, increased digital addiction had a negative impact on participants' physical activity self-efficacy, healthy eating self-efficacy, and sleep disorders.

Anahtar Kelimeler

Digital addiction , Physical activity , Healthy diet , Chronotype , Sleep disturbance

Etik Beyan

This study was approved by the Firat University Non-Interventional Research Ethics Committee (approval number: 2024/12-54) and complied with ethical rules. Following ethics committee approval, a permit with application number MEB.TT.2025.015211.01 was obtained from the Ministry of National Education. The study was conducted in accordance with the Declaration of Helsinki for human studies, and informed consent was obtained from all included participants.

Destekleyen Kurum

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Teşekkür

We would like to thank Aslınur KILINÇ, Ayşenur CAN, Dilanur KILIÇ, and Petek YAZAR for their assistance in collecting data for the study, as well as all the students who participated in the study.

Kaynakça

• Aktar SÖ. Ekolojik yaşam rehberi. İstanbul: Yeni İnsan Yayınevi; 2021.
• Kaymal B. Okul öncesi öğretmenlerinin dijital bağımlılıklarının incelenmesi. [Master’s thesis]. İstanbul: Lisansüstü Eğitim Enstitüsü; 2020.
• Samaha M, Hawi NS. Associations between screen media parenting practices and children’s screen time in Lebanon. Telemat Inform. 2017;34(1):351-358.
• Al-Shdayfat N, Hawi N, Hamadneh S, Albnian F, Alzyoud S, Logue T. Internet addiction among school adolescents in northeastern Jordan. World Journal of Medical Sciences. 2016;13:218–224.
• Hawi NS, Samaha M, Griffiths MD. Internet gaming disorder in Lebanon: Relationships with age, sleep habits, and academic achievement. J Behav Addict. 2018;7(1):70-78.
• Hawi NS, Samaha M. Relationships among smartphone addiction, anxiety, and family relations. Behaviour and Information Technology. 2017;36(10):1046-1052.
• Gentile DA, Bailey K, Bavelier D, Brockmyer JF, Cash H, Coyne SM, et al. Internet Gaming Disorder in Children and Adolescents. Pediatrics. 2017;140(Supplement_2):S81-S85.
• Andreassen CS. Pallesen S, Griffiths MD. The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addic Behav. 2017;64:287-293.
• Andreassen CS, Billieux J, Griffiths MD, Kuss DJ, Demetrovics Z, Mazzoni E, et al. The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychol Addict Behav. 2016;30(2):252-262.
• İşcan G, Nemmezi Karaca S. Uyku sağlığı. in Yaşam Tarzı Tıbbı. Mevsim V, İşcan G, Editors. Türkiye Klinikleri; 2025:32–36.
• American Academy of Pediatrics, Committee on Public Education. Children, adolescents, and television. Pediatrics. 2001;107(2):423-426.
• Canadian Paediatric Society, Psychosocial Paediatrics Committee. Impact of media use on children and youth: Recommendations. Paediatr Child Health. 2003;8(5):301–306.
• Australian Government Department of Health and Ageing. Move and play every day: National physical activity recommendations for children 0–5 years. Commonwealth of Australia, Department of Health and Ageing. 2010. https://www.10000steps.org.au/office/wagtaildocs/447/Fact_Sheet_People_13-17_Years.pdf
• Carter KA, Hathaway NE, Lettieri CF. Common sleep disorders in children. Am Fam Physician. 2014;89(5):368–377.
• Salkind J, Sutcliffe A. Management of childhood sleep disorders. Prescriber. 2015;26(21):33–36.
• Kerkhof GA, Lancel M. EEG Slow Wave Activity, REM Sleep, and Rectal Temperature During Night and Day Sleep in Morning‐Type and Evening‐Type Subjects. Psychophysiology. 1991;28(6):678-688.
• Tankova I, Adan A, Buela-Casal G. Circadian typology and individual differences. A review. Pers Individ Dif. 1994;16(5):671-684.
• Friedrich Cofer L, Grice JW, Sethre-Hofstad L, Radi CJ, Zimmermann LK, Palmer-Seal D, et al. Developmental Perspectives on Morningness-Eveningness and Social Interactions. Human Development. 1999;42(4):169-198.
• Bandura A. Self-efficacy: Toward a unifying theory of behavioral change. Psychol Rev. 1977;84(2):191-215.
• Berman ES. The relationship between eating self-efficacy and eating disorder symptoms in a non-clinical sample. Eating behaviors. 2006;7(1):79-90.
• Özen T. Exercise self efficacy scale’ın (Egzersiz öz yeterlilik ölçeği) ankilozan spondilitli hastalarda Türkçe geçerlilik-güvenilirliği ve diğer faktörlerle ilişkisi [Master’s thesis]. Edirne: Trakya Üniversitesi; 2016.
• Liu H, Dai X. Correlation between physical activity and self-efficacy in Chinese university students. Revista de Psicología del Deporte. 2017;26(4):110–114.
• Cengiz C, İnce ML. Farklı okul ortamlarındaki çocukların okul sonrası fiziksel aktivitelerde algıladıkları öz-yeterlilikleri. Yönetim Bilimleri Dergisi. 2013;11(21):135–147.
• Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149-1160.
• Dursun OB, Ogutlu H, Esin IS. Turkish validation and adaptation of children’s chronotype questionnaire (CCTQ). Eurasian J Med. 2015;47(1):56.
• Saunders RP, Pate RR, Felton G, Dowda M, Weinrich MC, Ward DS, et al. Development of questionnaires to measure psychosocial influences on children’s physical activity. Prev Med. 1997;26:241-247.
• Sherwood NE, Taylor WC, Treuth M, Klesges LM, Baranowski T, Zhou A, et al. Measurement characteristics of activity-related psychosocial measures in 8- to 10-year-old African-American girls in the Girls Health Enrichment Multisite Study (GEMS). Prev Med. 2004;38:S60-8.
• Guzel A. Üner S, Arslan EU, Yardım MS, Araz Ö, Konşuk Ünlü H, et al. The Turkish validity and reliability of the physical activity self-efficacy scale for children. Bezmialem Science. 2020;8(4).
• Story M, Sherwood NE, Himes JH, Davis M, Jacobs DR, Cartwright Y, et al. An after-school obesity prevention program for African-American girls: the Minnesota GEMS pilot study. Ethn Dis. 2003;13:54-64.
• Kabasakal E, Arslan UE, Üner S, Konşuk Ünlü H, Bilir N, Yardım MS, et al. Çocuklar İçin Sağlıklı Yeme Öz-Yeterlik Ölçeğinin Türkçe Geçerlik ve Güvenirlik Çalışması. Türkiye Çocuk Hastalıkları Dergisi. 2020:1-6.
• Bruni O, Ottaviano S, Guidetti V, Romoli M, Innocenzi M, Cortesi F, et al. The Sleep Disturbance Scale for Children (SDSC) Construct ion and validation of an instrument to evaluate sleep disturbances in childhood and adolescence. Journal of sleep research. 1996;5(4):251-261.
• Ağadayı E, Çelik N, Başer DA. Çocuklar için uyku bozukluğu ölçeğinin türkçe geçerlik ve güvenirlik çalışması. J Turk Sleep Med. 2020;7(2):65-72.
• Hawi NS, Samaha M, Griffiths MD. The digital addiction scale for children: Development and validation. Cyberpsychol Behav Soc Netw. 2019;22(12):771-778.
• Kaçmaz C, Cumurcu B, Çelik OT. Çocuklar için dijital bağımlılık ölçeğinin Türkçeye uyarlanması: Güvenirlik ve geçerlilik analizi. Bağımlılık Dergisi. 2023;24(4):495-506.
• Garaulet M, Ortega FB, Ruiz JR, Rey-Lopez JP, Beghin L, Manios Y, et al. Short sleep duration is associated with increased obesity markers in European adolescents: effect of physical activity and dietary habits. The HELENA study. Int J Obes. 2011;35(10):1308-1317.
• Ohayon MM, Carskadon MA, Guilleminault C, Vitiello MV. Meta-Analysis of Quantitative Sleep Parameters From Childhood to Old Age in Healthy Individuals: Developing Normative Sleep Values Across the Human Lifespan. Sleep. 2004;27(7):1255-1273.
• Türközü D, Aksoydan E. The Influence of Sleep Duration and Quality on Nutrition and Body Composition. Journal of Continuing Medical Education. 2015;24(1):10–17.
• Werner H, LeBourgeois MK, Geiger A, Jenni OG. Assessment of Chronotype in Four- to Eleven-Year-Old Children: Reliability and Validity of the Children's ChronoType Questionnaire (CCTQ). Chronobiol Int. 2009;26(5):992-1014.
• Randler C. Morningness‐Eveningness Comparison in Adolescents from Different Countries around the World. Chronobiol Int. 2008;25(6):1017-1028.
• Randler C, Bilger S, Díaz-Morales JF. Associations among Sleep, Chronotype, Parental Monitoring, and Pubertal Development among German Adolescents. J Psychol. 2009;143(5):509-520.
• Carskadon MA, Vieira C, Acebo C. Association between Puberty and Delayed Phase Preference. Sleep. 1993;16(3):258-262.
• Doliopoulou E, Rizou C. Greek kindergarten teachers and parents' views about changes in play since their own childhood. European Early Childhood Education Research Journal. 2012;20(1):133–147.
• Rosen LD, Lim AF, Felt J, Carrier LM, Cheever NA, Lara-Ruiz JM, et al. Media and technology use predicts ill-being among children, preteens and teenagers independent of the negative health impacts of exercise and eating habits. Comput Human Behav. 2014;35:364-375.
• Dang AK, Nathan N, Hoang Le QN, Nguyen LH, Nguyen HLT, Nguyen CT, et al. Associations between internet addiction and physical activity among Vietnamese youths and adolescents. Child Youth Serv Rev. 2018;93:36-40.
• Karaaslan Y, Özyurt F, Karaaslan U. Determination of physical activity level, functional capacity and depression in children with digital game addiction. Journal of Academic Research in Medicine. 2023;13(1):41–48.
• Güler H. Lise öğrencilerinin dijital oyun oynama motivasyonları ile fiziksel aktiviteye katılım motivasyonlarının incelenmesi. Gazi Kitabevi; 2021.
• Gülbetekin E, Güven E, Tuncel O. Factors affecting digital game addiction and physical activity attitudes and behaviors of adolescents. Journal of Dependence. 2021;22(2):148–160.
• Griffiths M, Wood RTA. Risk factors in adolescence: The case of gambling, videogame playing, and the Internet. J Gambl Stud. 2000;16(2–3):199–225.
• Bingöl Ç. Pandemi sürecinde uzaktan ders alan okul çağı çocuklarında dijital oyun bağımlılığı, beslenme tutum ve davranışları [Master’s thesis]. Çocuk Sağlığı ve Hastalıkları Hemşireliği Anabilim Dalı. Erzurum: Atatürk Üniversitesi; 2021.
• Çelik E, Çelik OT. Antecedents and consequences of digital addiction in children: a metasynthesis study. Milli Eğitim Dergisi. 2023;52(239):1913–1944.
• Bülbül S, Kurt G, Ünlü E, Kırlı E. Adolesanlarda uyku sorunları ve etkileyen faktörler. Çocuk Sağlığı ve Hastalıkları Dergisi. 2010;53(3):204–210.
• Van Den Bulck J. Television Viewing, Computer Game Playing, and Internet Use and Self-Reported Time to Bed and Time out of Bed in Secondary-School Children. Sleep. 2004;27(1):101-104.
• Higuchi S, Motohashi Y, Liu Y, Ahara M, Kaneko Y. Effects of VDT tasks with a bright display at night on melatonin, core temperature, heart rate, and sleepiness. J Appl Physiol. 2003;94(5):1773-1776.
• Komada Y, Tanaka H, Yamamoto Y, Shirakawa S, Yamazaki K. Effects of bright light pre‐exposure on sleep onset process. Psychiatry Clin Neurosci. 2000;54(3):365-366.
• Keskin N, Tamam L. Sleep disorders: classification and treatment. Archives Medical Review Journal. 2018;27(2):241–260.
• Bal F, Okkay İ. Investigation of the relationship between digital games and sleep disorders in children. Hacettepe University Journal of Social Sciences. 2021;3(2):132–153.
• Choi K, Son H, Park M, Han J, Kim K, Lee B, et al. Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry Clin Neurosci. 2009;63(4):455-462.
• Li S, Jin X, Wu S, Jiang F, Yan C, Shen X. The Impact of Media Use on Sleep Patterns and Sleep Disorders among School-Aged Children in China. Sleep. 2007;30(3):361-367.
• Chen YL, Gau SSF. Sleep problems and internet addiction among children and adolescents: a longitudinal study. J Sleep Res. 2016;25(4):458-465.
• Matwiyoff G, Lee-Chiong T. Parasomnias: An overview. Indian J Med Res. 2010; 131:333–337.
• Bildirici Y, Sungur S, Öznur Muz FN, Bal M, Akkoca Z, Metintaş S. The relationship between sleep disorder symptoms and health-promoting lifestyle habits in school-aged children. Osmangazi Journal of Medicine. 2023;45(5):732–746.
• Stickgold R, Malia A, Maguire D, Roddenberry D, O’Connor M. Replaying the Game: Hypnagogic Images in Normals and Amnesics. Science. 2000;290(5490):350-353.
• Paavonen EJ, Pennonen M, Roine M, Valkonen S, Lahikainen AR. TV exposure associated with sleep disturbances in 5‐ to 6‐year‐old children. J Sleep Res. 2006;15(2):154-161.
• Thorpy MJ. Classification of Sleep Disorders. Neurotherapeutics. 2012;9(4):687-701. 65. Chung K-F, Cheung M-M. Sleep-Wake Patterns and Sleep Disturbance among Hong Kong Chinese Adolescents. Sleep. 2008;31(2):185-194.
• Ohayon MM, Roberts RE, Zulley J, Smirne S, Priest RG. Prevalence and Patterns of Problematic Sleep Among Older Adolescents. J Am Acad Child Adolesc Psychiatry. 2000;39(12):1549-1556.
• Short MA, Gradisar M, Lack LC, Wright HR, Dohnt H. The sleep patterns and well‐being of Australian adolescents. J Adolesc. 2013;36(1):103-110.
• Fallone G, Owens JA, Deane J. Sleepiness in children and adolescents: clinical implications. Sleep Med Rev. 2002;6(4):287-306.
• Rupert MS, Hawi NS. Analysis using spectral clustering to predict Internet gaming behaviours. ACM Press. 2017:1-5. doi:10.1145/3105831.310586.
• Carter B, Rees P, Hale L, Bhattacharjee D, Paradkar MS. Association Between Portable Screen-Based Media Device Access or Use and Sleep Outcomes. JAMA Pediatrics. 2016;170(12):1202.
• Cain N, Gradisar M. Electronic media use and sleep in school-aged children and adolescents: A review. Sleep Med. 2010;11(8):735-742.
• Lemola S, Perkinson-Gloor N, Brand S, Dewald-Kaufmann JF, Grob A. Adolescents’ Electronic Media Use at Night, Sleep Disturbance, and Depressive Symptoms in the Smartphone Age. J Youth Adolesc. 2015;44(2):405-418.
• Tai M, Mastin D, Peszka J. The relatıonshıp between vıdeo game use, game genre, and lucıd/control dreamıng. Sleep. 2017;40(suppl_1):A271.