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A Preliminary Study on the Relationship Between Parental Internet Addiction and Their Children’s Body Mass Index

Yıl 2024, Cilt: 33 Sayı: 6, 445 - 461, 08.01.2025

Öz

Objectıve: The complex interrelationship between obesity and digital dependency requires comprehensive research to guide targeted population-level intervention strategies. This study investigates the intricate link between parental internet addiction (IA) and body mass index (BMI) percentiles of children and adolescents. The original research aims to contribute to the academic field on an under-researched topic.
Methods: Research included 109 participants aged 7–20. A sample size of 108 was predetermined for 150 participants at a 95% confidence level. Ethics committee approval was obtained in June 2018. Statistical analysis explored the links between children’s BMI percentiles and factors including age, gender, children/adolescents and parents’ IA scores, parents’ educational status. Descriptive statistics included mean, SD, median, frequency, percentage, min/max values. Kolmogorov-Smirnov and Shapiro-Wilk Tests were used for normality. Comparative tests for quantitative data included Kruskal-Wallis, Independent Samples, Student’s t-Test, ANOVA. Qualitative data were analyzed using Pearson’s χ², Fisher-Freeman-Halton Exact Tests. Spearman correlation analysis was used to assess relationships between the quantitative variables. The significance level was set at p<0.050.
Results: The mean±SD age was 13.8±2.8 years. In terms of children and adolescents’ IA scores, 2 had IA, 46 were at risk. Percentile categories for BMI showed that 3 were underweight, 62 had normal/healthy weight, 39 were overweight, 5 were obese. Significant correlations were found between children/adolescents’ age and BMI percentiles (p=0.002), higher in younger children (p=0.011). Across children and adolescents’ two BMI percentile categories, statistical significance was observed with fathers’ IA scores (p=0.029).
Conclusion: Despite the limitations of generalizability in research, potential associations were implicated. Additional investigation into the potential role of younger age as a risk factor for childhood obesity may be merited. The study hints at possible transmission of unhealthy behaviors across generations. Health care providers are crucial in educating about healthy lifestyle choices, conducting risk assessments, and implementing, monitoring, evaluating public health interventions. The study was conducted as a pioneering and exploratory investigation. The promising outcomes of the research warrant further investigation to comprehend its full implications, especially in regard to familial influences on health behaviors.

Etik Beyan

CRediT AUTHOR STATEMENT First & Corresponding Author: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Writing - Original Draft, Writing - Review & Editing, Visualization, Supervision. Second & Senior Author: Conceptualization, Methodology, Investigation, Resources, Data Curation, Writing - Review & Editing, Supervision, Project administration, Funding acquisition. CONFLICT OF INTEREST STATEMENT Authors hereby declare that they have no competing or personal financial interests, funding, employment benefits that may inappropriately influence or affect the integrity of this work. They certify that they have no affiliations with or involvement in any institution or entity with any financial or nonfinancial interest in the subject matter or scientific content discussed in this original article.

Destekleyen Kurum

This research received no specific grant or financial support from any funding agency in the public, commercial, or nonprofit sectors.

Teşekkür

Authors appreciate participants’ collaboration in this scientific research.

Kaynakça

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Ebeveyn İnternet Bağımlılığı ile Çocuklarının Vücut Kütle İndeksi Arasındaki İlişki Üzerine Bir Ön Çalışma

Yıl 2024, Cilt: 33 Sayı: 6, 445 - 461, 08.01.2025

Öz

Amaç: Obezite ve dijital bağımlılık arasındaki karmaşık ilişki, hedeflenmiş nüfus düzeyindeki müdahale stratejilerine rehberlik edecek kapsamlı araştırmalar gerektirmektedir. Bu çalışma, ebeveyn internet bağımlılığı ile çocuk/ergen vücut kütle indeksi (VKİ) persentilleri arasındaki karmaşık bağlantıyı araştırmaktadır. Orijinal araştırma, az incelenmiş bir konuda akademik alana katkı sağlamayı amaçlamaktadır.
Yöntem: Araştırmaya 7–20 yaşları arasında 109 katılımcı dahil edilmiştir. Örneklem büyüklüğü, %95 güven aralığında 150 katılımcı üzerinden 108 olarak önceden hesaplanmıştır. Etik kurul onayı Haziran 2018’de alınmıştır. İstatistiksel analiz, çocukların VKİ persentilleri ile yaş, cinsiyet, çocuk/ergen ve ebeveynlerin internet bağımlılığı puanları ile ebeveynlerin eğitim durumu gibi faktörler arasındaki bağlantıları incelemiştir. Tanımlayıcı istatistikler, ortalama, SD, medyan, sıklık, yüzde, min/max değerlerini içermektedir. Normalite için Kolmogorov-Smirnov ve Shapiro-Wilk Testleri kullanılmıştır. Nicel veri için karşılaştırmalı testler arasında Kruskal-Wallis, bağımsız örneklem t-testi ve ANOVA yer almıştır. Nitel veri Pearson χ², Fisher-Freeman-Halton Exact Testleri ile analiz edilmiştir. Nicel değişkenler arasındaki ilişkileri değerlendirmek için Spearman korelasyon analizi kullanılmıştır. Anlamlılık seviyesi p<0,050 olarak belirlenmiştir.
Bulgular: Ortalama±SD yaş 13,8±2,8 yıl olarak bulunmuştur. Çocuk/ergen İnternet Bağımlılığı Testi puanlarına göre 2 kişi IA, 46 kişi ise risk altındadır. Sınıflandırmalar 3 kişinin zayıf, 62 kişinin normal/sağlıklı kiloda, 39 kişinin fazla kilolu ve 5 kişinin obez VKİ persentil kategorisinde olduğunu göstermiştir. Çocuk/ergenlerin yaşlarıyla VKİ persentilleri arasında anlamlı korelasyon bulunmuştur (p=0,002), yaşları küçük olan çocuklarda daha yüksek bulunmuştur (p=0,011). Çocuk ve ergenlerin iki VKİ persentil kategorisi kıyaslandığında, babalarının internet bağımlılığı puanlarıyla istatistiksel olarak anlamlı ilişki olduğu saptanmıştır (p=0,029).
Sonuç: Sonuçların topluma genellenebilir olması açısından kısıtlamalar bulunmakla birlikte, elde edilen bulgular, potansiyel ilişkiler hakkında önemli ipuçları sunmaktadır. Çocukluk çağı obezitesi için erken yaş risk faktörünün olası rolünün daha fazla araştırılması gerekmektedir. Çalışma, sağlıksız davranışların nesiller arası aktarımına işaret etmektedir. Sağlık hizmet sunucuları, sağlıklı yaşam tarzı seçimleri konusunda eğitim vermek, risk değerlendirmeleri yapmak, halk sağlığı müdahalelerini uygulamak, izlemek ve değerlendirmekte kritik rol oynarlar. Çalışma, öncü nitelikte ve keşif amaçlı olarak yürütülmüştür. Özellikle sağlık davranışlarının ailevi etkilerinin tam olarak anlaşılabilmesi için daha fazla araştırma yapılmasının gerekliliği vurgulayan, ümit verici sonuçlar ortaya konulmuştur.

Kaynakça

  • De Lorenzo A, Romano L, Di Renzo L, et al. Obesity: A preventable, treatable, but relapsing disease. Nutrition 2020 Mar;71:110615. doi:10.1016/j.nut.2019.110615
  • NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: A pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet. 2024 Mar 16;403(10431):1027–50. doi: 10.1016/S0140-6736(23)02750-2. Epub 2024 Feb 29.
  • Jebeile H, Kelly AS, O’Malley G, et al. Obesity in children and adolescents: epidemiology, causes, assessment, and management. Lancet Diabetes Endocrinol. 2022 May;10(5):351–365. doi: 10.1016/S2213-8587(22)00047-X. Epub 2022 Mar 3.
  • World Obesity Federation. Prevalence of Obesity. London, Great Britain. Available from: https://www.worldobesity.org/about/about-obesity/prevalence-of-obesity#:~:text=In%202024%2C%20the%20NCD%20Risk,adolescents%20aged%205%2D19%20years. Accessed December 25, 2024.
  • Görçin Karaketir Ş, Lüleci NE, Eryurt MA, et al. Overweight and obesity in preschool children in Türkiye: A multilevel analysis. J Biosoc Sci. 2023 Mar;55(2):344–66. doi:10.1017/S0021932022000025. Epub 2022 Jan 28.
  • Alkan H, Enç N, Yeni K, et al. Evaluation of childhood obesity, prevalence, and related factors in İstanbul. Florence Nightingale J Nurs. 2022 Oct;30(3):267–73. doi:10.5152/FNJN.2022.20106
  • Weir CB, Jan A. BMI Classification percentile and cut off points. 2023 Jun 26. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan–.
  • Pray R, Riskin S. The history and faults of the Body Mass Index and where to look next: A literature review. Cureus. 2023 Nov 3;15(11):e48230. doi:10.7759/cureus.48230
  • Dresp-Langley B, Hutt A. Digital addiction and sleep. Int J Environ Res Public Health. 2022 Jun 5;19(11):6910. doi:10.3390/ijerph19116910
  • Tsang SMH, Cheing GLY, Lam AKC, et al. Excessive use of electronic devices among children and adolescents is associated with musculoskeletal symptoms, visual symptoms, psychosocial health, and quality of life: a cross-sectional study. Front Public Health. 2023 Jun 29;11:1178769. doi:10.3389/fpubh.2023.1178769
  • Wacks Y, Weinstein AM. Excessive smartphone use is associated with health problems in adolescents and young adults. Front Psychiatry. 2021 May 28;12:669042. doi:10.3389/fpsyt.2021.669042
  • Rashid SMM, Mawah J, Banik E, et al. Prevalence and impact of the use of electronic gadgets on the health of children in secondary schools in Bangladesh: A cross-sectional study. Health Sci Rep. 2021 Oct 1;4(4):e388. doi:10.1002/hsr2.388
  • Small GW, Lee J, Kaufman A, et al. Brain health consequences of digital technology use. Dialogues Clin Neurosci. 2020 Jun;22(2):179–87. doi:10.31887/DCNS.2020.22.2/gsmall
  • Nakshine VS, Thute P, Khatib MN, et al. Increased screen time as a cause of declining physical, psychological health, and sleep patterns: A literary review. Cureus. 2022 Oct 8;14(10):e30051. doi:10.7759/cureus.30051
  • Nikolic A, Bukurov B, Kocic I, et al. Smartphone addiction, sleep quality, depression, anxiety, and stress among medical students. Front Public Health. 2023 Sep 6;11:1252371. doi:10.3389/fpubh.2023.1252371
  • Daniyal M, Javaid SF, Hassan A, et al. The relationship between cellphone usage on the physical and mental wellbeing of university students: A cross-sectional study. Int J Environ Res Public Health. 2022 Jul 30;19(15):9352. doi:10.3390/ijerph19159352
  • Dresp-Langley B. Children’s health in the digital age. International Journal of Environmental Research and Public Health 2020 May 6;17(9):3240. doi:10.3390/ijerph17093240
  • Lopez RB, Brand J, Gilbert-Diamond D. Media multitasking is associated with higher Body Mass Index in pre-adolescent children. Frontiers in Psychology 2019 Nov 13;10:2534. doi:10.3389/fpsyg.2019.02534
  • Lopez RB, Heatherton TF, Wagner DD. Media multitasking is associated with higher risk for obesity and increased responsiveness to rewarding food stimuli. Brain Imaging and Behavior 2020 Aug;14(4):1050–61. doi:10.1007/s11682-019-00056-0
  • Gao Q, Zheng H, Sun R, et al. Parent-adolescent relationships, peer relationships, and adolescent mobile phone addiction: The mediating role of psychological needs satisfaction. Addict Behav. 2022 Jun;129:107260. doi:10.1016/j.addbeh.2022.107260. Epub 2022 Jan 24.
  • Salant P, Dillman DA. How to conduct your own survey. New York: Wiley; Dec 1994. 256 p. ISBN: 978-0-471-01273-3. doi: 10.2307/3152021. Corpus ID: 62697981. Available from: https://www.wiley.com/en-us/How+to+Conduct+Your+Own+Survey-p-9780471012733. Accessed 2024 Dec 25.
  • Torgerson DJ, Miles JN. Simple sample size calculation. Journal of Evaluation in Clinical Practice. 2007;13(6):952–3. doi:10.1111/j.1365-2753.2006.00776.x
  • Yamane T. Elementary Sampling Theory. Englewood Cliffs: Prentice-Hall, Inc.; 1967.
  • Young KS. Internet Addiction Test. APA PsycTests 1998 [APA PsycTests Database Record 2020]. doi:10.1037/t41898-000
  • Young KS (ed). Caught in the net. John Wiley & Son: New York; 1998.
  • Young KS. Internet Addiction Test Manual. 2009. Available from: https://stoeltingco.com/Psychological/media/IAT_web_sample.pdf. Accessed December 25, 2024.
  • Balta O, Horzum, MB. İnternet Bağımlılığı Testi (Internet Addiction Test). Eğitim Bilimleri ve Uygulama Dergisi (Journal of Educational Sciences and Practice) 2008;7(13):87–102. [Article in Turkish].
  • Kaya F, Delen E, Young KS. Psychometric properties of the Internet Addiction Test in Turkish. Journal of Behavioral Addictions 2016 Mar;5(1):130–4. doi:10.1556/2006.4.2015.042
  • Boysan M, Kuss DJ, Barut Y, et al. Psychometric properties of the Turkish version of the Internet Addiction Test (IAT). Addictive Behaviors. 2017;64:247–52. doi:10.1016/j.addbeh.2015.09.002
  • De Onis M. Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization 2007;85(09):660–7. [Article in Turkish]. doi:10.2471/blt.07.043497
  • Grafton C, Permaloff A. Software reviews: The Number Cruncher Statistical System. Computational Social Science 1983;1(2):115–7. doi:10.1177/089443938500100211
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  • Yar A, Gündoğdu OY, Tural U, et al. The prevalence of internet addiction in Turkish adolescents with psychiatric disorders. Noropsikiyatri Arsivi (Archives of Neuropsychiatry). 2019 Jul 16;56(3):200–4. doi:10.29399/npa.23045
  • Günüç SS, Kayri M. Türkiye’de internet bağımlılık profili ve internet bağımlılık ölçeğinin geliştirilmesi: Geçerlik-güvenirlik çalışması (The profile of internet dependency Türkiye and development of internet addiction scale: Study of validity & reliability). Hacettepe Üniversitesi Eğitim Fakültesi Dergisi (Hacettepe University Journal of Education) 2010;39:220–32. [Article in Turkish]
  • Gökçearslan S, Günbatar MS. Ortaöğretim öğrencilerinde internet bağımlılığı (Internet addiction in high school students). Eğitim Teknolojisi Kuram ve Uygulama (Educational Technology Theory and Practice) 2012;2(2):10–24. [Article in Turkish]
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  • Robinson TN, Banda JA, Hale L, et al. Screen media exposure and obesity in children and adolescents. Pediatrics. 2017;140(Suppl 2):S97–S101. doi:10.1542/peds.2016–1758K
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  • Cash H, Rae CD, Steel AH, et al. Internet addiction: A brief summary of research and practice. Current Psychiatry Reviews 2012 Nov;8(4):292–8. doi:10.2174/157340012803520513
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  • Mishra J, Behera MR, Mitra R, et al. Prevalence and impact of Internet Addiction Disorder among adolescents and young adults. The Open Public Health Journal. 2024 Oct 17. doi:10.2174/0118749445345806241010081642 Available from: https://www.openpublichealthjournal.com/VOLUME/17/ELOCATOR/e18749445345806/FULLTEXT/?doi=10.1126/sciadv.adg2248 Accessed December 25, 2024.
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Toplam 55 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sağlığın Geliştirilmesi, Toplum Çocuk Sağlığı, Aile Hekimliği
Bölüm Araştırma Makalesi
Yazarlar

Verda Tunalıgil 0000-0002-4965-9231

Gülsen Meral 0000-0002-0567-7702

Yayımlanma Tarihi 8 Ocak 2025
Gönderilme Tarihi 10 Temmuz 2024
Kabul Tarihi 7 Ocak 2025
Yayımlandığı Sayı Yıl 2024 Cilt: 33 Sayı: 6

Kaynak Göster

Vancouver Tunalıgil V, Meral G. A Preliminary Study on the Relationship Between Parental Internet Addiction and Their Children’s Body Mass Index. STED. 2025;33(6):445-61.