Evaluation of the Relationship between Internet Addiction and Nutritional Habits and BMI/Z-Score: A Cross-Sectional Study on Adolescents

Yıl 2024, Cilt: 11 Sayı: 3, 452 - 461, 30.09.2024

Çağdaş Salih Meriç , Hacı Ömer Yılmaz , Tuğba Türkkan , Kenan Bülbül

https://doi.org/10.34087/cbusbed.1495145

Öz

Aim: Internet addiction affects childhood and adolescence when physiological, psychological and social development is rapid and most habits, especially nutrition, are acquired. This research was planned and conducted to evaluate the relationship between internet addiction and nutritional habits, and body weight-obesity (BMI/Z-score) in adolescents.
Method: This descriptive cross-sectional study included 679 adolescents using simple random sampling method and face-to-face interview technique. The questionnaire form, prepared by the researchers by scanning the current literature, includes the socio-demographic characteristics of adolescents, nutritional habits, food groups that should be consumed daily according to Türkiye Nutrition Guide (TÜBER), physical activity levels of adolescents, internet and smartphone usage and the “Young's Internet Addiction Test (YIAT-SF)”.
Results: The mean BMI and Z-score of the adolescents with a mean age of 14.06±2.06 years were 20.67±3.7kg/m2 and 1.24±1.10, respectively. According to the Z-score, 77.0% of the adolescents were categorized as underweight/normal and 23.0% as overweight/obese. Overweight/obese adolescents have significantly higher internet and smartphone usage times compared to underweight/normal adolescents. The YIAT-SF scores of adolescents were 26.2±7.6, and the scores of overweight/obese adolescents (27.8±7.0) were significantly higher than those of underweight/normal adolescents (25.7±7.7). Internet addiction levels of adolescents who consume TÜBER’s daily recommended levels of milk and dairy products, bread and grain products, and vegetables are significantly lower than those who consume sometimes or never consume. A strong positive correlation was determined between adolescents' Z-scores and internet addiction, and as adolescents' internet addiction increases, their Z-scores and obesity risks also increase.
Conclusion: Research findings have shown that adolescents have significantly unhealthy eating habits, do not consume healthy food groups at the daily recommended levels, and this situation is associated with internet addiction. There is a need for large-scale prospective studies in which the relationship between internet addiction, eating habits, and abnormal body weight will be examined in detail with objective measurements.

Anahtar Kelimeler

Adolescent, Nutrition, Internet addiction, YIAT-SF, Z-score

İnternet Bağımlılığının Beslenme Alışkanlıkları ve BKİ/Z-Skor ile İlişkisinin Değerlendirilmesi: Adölesanlar Üzerinde Kesitsel Bir Araştırma

Öz

Giriş ve Amaç: İnternet bağımlılığı özellikle fizyolojik, psikolojik ve sosyal gelişimin hızlı olduğu, başta beslenme olmak üzere çoğu alışkanlıkların kazanıldığı çocukluk ve adölesan dönemi etkilemektedir. Bu araştırma, adölesanlarda internet bağımlılığının beslenme alışkanlıkları ve vücut ağırlığı-obezite (BKİ/Z-Skor) ile ilişkisini değerlendirmek amacıyla planlanmış ve yürütülmüştür.
Gereç ve Yöntemler: Tanımlayıcı-kesitsel tipte olan bu araştırmaya basit rastgele örneklem metodu ve yüz yüze görüşme tekniği kullanılarak 679 adölesan dahil edilmiştir. Araştırmacılar tarafından güncel literatürün taranmasıyla hazırlanan anket formu adölesanların sosyo demografik özelliklerini, beslenme alışkanlıklarını, Türkiye Beslenme Rehberi’ne (TÜBER) göre günlük tüketilmesi gereken besin gruplarını, adölesanların fiziksel aktivite düzeylerini, internet ve akıllı telefon kullanım durumları ile “Young İnternet Bağımlılığı Ölçeği–Kısa Form (YİBÖ-KF)”unu içermektedir.
Bulgular: Yaş ortalaması 14,06±2,06 yıl olan adölesanların BKİ ve Z-skor ortalamaları sırasıyla 20,67±3,7kg/m2 ve 1,24±1,10’dur. Z-skor’a göre adölesanların %77,0’ı zayıf/normal, %23,0’ı şişman/obez olarak kategorize edilmiştir. Şişman/obez adölesanların zayıf/normal olanlara kıyasla internet ve akıllı telefon kullanım sürelerinin anlamlı olarak yüksektir. Adölesanların YİBÖ-KF puanları 26,2±7,6 olup şişman/obez adölesanların puanları (27,8±7,0) zayıf/normal olanlara kıyasla (25,7±7,7) anlamlı olarak yüksektir. TÜBER’in günlük önerdiği düzeyde süt ve süt ürünleri, ekmek ve tahıl ürünleri ile sebze tüketen adölesanların internet bağımlılık düzeyleri bazen tüketen veya hiç tüketmeyenlere kıyasla anlamlı olarak düşüktür. Adölesanların Z-skorları ile internet bağımlılıkları arasında kuvvetli pozitif korelasyon belirlenmiş olup adölesanların internet bağımlılıkları arttıkça Z-skorları ve obezite riskleri de artmaktadır.
Sonuç: Araştırma bulguları adölesanların önemli ölçüde sağlıksız beslenme alışkanlıklarına sahip olduklarını, sağlıklı besin gruplarını günlük önerilen düzeyde tüketmediklerini ve bu durumun internet bağımlılığı ile ilişkili olduğunu göstermiştir. İnternet bağımlılığı ve beslenme alışkanlıkları ile anormal vücut ağırlığı arasındaki ilişkinin objektif ölçümler ile detaylıca irdeleneceği, geniş ölçekli ileriye dönük çalışmalara ihtiyaç vardır.

Anahtar Kelimeler

Adölesan, Beslenme, İnternet bağımlılığı, YİBÖ-KF, Z-skor

Etik Beyan

Bu araştırma için Gümüşhane Üniversitesi Rektörlüğü Bilimsel Araştırma ve Yayın Etiği Kurulu’nun 14/06/2023 tarih ve 2023/03 sayılı toplantısı kararı ile E-95674917-108.99-181925 numaralı etik onay alınmıştır.

Teşekkür

Araştırmaya katılan ve katkı sağlayan tüm adölesanlara teşekkür ederiz.

Kaynakça

• Hashmi and H. Naz Fayyaz Shaheed Zulfi kar Ali Bhutto, “Adolescence and Academic Well-being: Parents, Teachers, and Students’ Perceptions,” Article Journal of Education and Educational Development, vol. 9, no. 1, pp. 27–47, 2022, doi: 10.22555/joeed.v9i1.475. 460 2.A. Serenko, O. Turel, and H. Bohonis, “The impact of social networking sites use on health-related outcomes among UK adolescents,” Computers in Human Behavior Reports, vol. 3, p. 100058, Jan. 2021, doi: 10.1016/J.CHBR.2021.100058.
• 3.L. Wadolowska, J. Kowalkowska, M. Lonnie, J. Czarnocinska, M. Jezewska-Zychowicz, and E. Babicz-Zielinska, “Associations between physical activity patterns and dietary patterns in a representative sample of Polish girls aged 13-21 years: A cross-sectional study (GEBaHealth Project),” BMC Public Health, vol. 16, no. 1, pp. 1–14, Aug. 2016, doi: 10.1186/S12889-016-3367-4/TABLES/5.
• 4.K. Best, K. Ball, D. Zarnowiecki, R. Stanley, and J. Dollman, “In Search of Consistent Predictors of Children’s Physical Activity,” Int J Environ Res Public Health, vol. 14, no. 10, Oct. 2017, doi: 10.3390/IJERPH14101258.
• 5.M. A. Farooq et al., “Timing of the decline in physical activity in childhood and adolescence: Gateshead Millennium Cohort Study,” Br J Sports Med, vol. 52, no. 15, pp. 1002–1006, Aug. 2018, doi: 10.1136/BJSPORTS-2016-096933.
• 6.M. M. Herting and X. Chu, “Exercise, Cognition, and the Adolescent Brain,” Birth Defects Res, vol. 109, no. 20, p. 1672, Dec. 2017, doi: 10.1002/BDR2.1178.
• 7.L. Duan et al., “Based on a Decision Tree Model for Exploring the Risk Factors of Smartphone Addiction Among Children and Adolescents in China During the COVID-19 Pandemic,” Front Psychiatry, vol. 12, Jun. 2021, doi: 10.3389/FPSYT.2021.652356.
• 8.M. Kaess et al., “Excessive and pathological Internet use – Risk-behavior or psychopathology?,” Addictive Behaviors, vol. 123, p. 107045, Dec. 2021, doi: 10.1016/J.ADDBEH.2021.107045.
• 9.H. Sampasa-Kanyinga, J. P. Chaput, and H. A. Hamilton, “Associations between the use of social networking sites and unhealthy eating behaviours and excess body weight in adolescents,” Br J Nutr, vol. 114, no. 11, pp. 1941–1947, Sep. 2015, doi: 10.1017/S0007114515003566.
• 10.H. Yilmaz Kafali, S. A. Uçaktürk, E. Mengen, S. Akpinar, M. Erguven Demirtas, and O. S. Uneri, “Emotion dysregulation and pediatric obesity: investigating the role of Internet addiction and eating behaviors on this relationship in an adolescent sample,” Eat Weight Disord, vol. 26, no. 6, pp. 1767–1779, Aug. 2021, doi: 10.1007/S40519-020-00999-0.
• 11.WHO, “Growth reference data for 5-19 years.” Accessed: Jun. 03, 2024. [Online]. Available: https://www.who.int/tools/growth-reference-data-for-5to19-years
• 12.M. Ann Liebert and K. S. Young, “Internet Addiction: The Emergence of a New Clinical Disorder,” http://www.liebertpub.com/cpb, vol. 1, no. 3, pp. 237–244, Jan. 2009, doi: 10.1089/CPB.1998.1.237.
• 13.M. Pawlikowski, C. Altstötter-Gleich, and M. Brand, “Validation and psychometric properties of a short version of Young’s Internet Addiction Test,” Comput Human Behav, vol. 29, no. 3, pp. 1212–1223, May 2013, doi: 10.1016/J.CHB.2012.10.014.
• 14.M. Kutlu, M. Savci, Y. Demir, and F. Aysan, “Turkish adaptation of Young’s Internet Addiction Test-Short Form: a reliability and validity study on university students and adolescents/Young Internet Bagimliligi Testi Kisa Formunun Turkce uyarlamasi: Universite ogrencileri ve ergenlerde gecerlilik ve guvenilirlik calismasi,” Anadolu Psikiyatri Derg, vol. 17, no. S1, pp. 69–77, Feb. 2016, Accessed: Dec. 25, 2023. [Online]. Available: https://go.gale.com/ps/i.do?p=AONE&sw=w&issn=13026631&v=2.1&it=r&id=GALE%7CA558814506&sid=googleScholar&linkaccess=fulltext
• 15.D. Rozgonjuk, L. Blinka, N. Löchner, A. Faltýnková, D. Husarova, and C. Montag, “Differences between problematic internet and smartphone use and their psychological risk factors in boys and girls: a network analysis,” Child Adolesc Psychiatry Ment Health, vol. 17, no. 1, 2023, doi: 10.1186/s13034-023-00620-z.
• 16.D. Byun, R. Kim, and H. Oh, “Leisure-time and study-time Internet use and dietary risk factors in Korean adolescents,” Am J Clin Nutr, vol. 114, pp. 1791–1801, 2021, doi: 10.1093/ajcn/nqab229.
• 17.S. Ryu, H. Jang, and H. Oh, “Smartphone Usage Patterns and Dietary Risk Factors in Adolescents,” J Nutr, vol. 152, no. 9, pp. 2109–2116, Sep. 2022, doi: 10.1093/JN/NXAC098.
• 18.S. E. Domoff, E. Q. Sutherland, S. Yokum, and A. N. Gearhardt, “Adolescents’ Addictive Phone Use: Associations with Eating Behaviors and Adiposity,” International Journal of Environmental Research and Public Health 2020, Vol. 17, Page 2861, vol. 17, no. 8, p. 2861, Apr. 2020, doi: 10.3390/IJERPH17082861.
• 19.Y. Kim, N. Lee, and Y. Lim, “Gender differences in the association of smartphone addiction with food group consumption among Korean adolescents,” 2017, doi: 10.1016/j.puhe.2016.12.026.
• 20.U. Yıldız, E. Kuruo, T. Günvar, gulcan Ç, and V. Mevsim, “The Relationship Between Obesity and Internet Addiction in University Students: A Cross-Sectional Study¨Ulkü,” Quantitative Research American Journal of Health Promotion, vol. 38, no. 4, pp. 513–521, 2024, doi: 10.1177/08901171241227036.
• 21.H. R. Tabatabaee, A. Rezaianzadeh, and M. Jamshidi, “Mediators in the Relationship between Internet Addiction and Body Mass Index: A Path Model Approach Using Partial Least Square ARTICLE INFORMATION ABSTRACT,” JRHS Journal of Research in Health Sciences journal homepage Res Health Sci, vol. 18, no. 3, p. 423, 2018.
• 22.K. Min Kim, I. M. Lee, J. Won Kim, and J.-W. Choi, “Dietary patterns and smartphone use in adolescents in Korea: A nationally representative cross-sectional study,” Asia Pac J Clin Nutr, vol. 30, no. 1, pp. 163–173, 2021, doi: 10.6133/apjcn.202103_30(1).0019.
• 23.M. Aghasi, A. Matinfar, M. Golzarand, A. Salari-Moghaddam, and S. Ebrahimpour-Koujan, “Internet Use in Relation to Overweight and Obesity: A Systematic Review and Meta-Analysis of Cross-Sectional Studies,” Advances in Nutrition, vol. 11, no. 2, pp. 349–356, Mar. 2020, doi: 10.1093/ADVANCES/NMZ073.
• 24.K. Eliacik et al., “Internet addiction, sleep and health-related life quality among obese individuals: a comparison study of the growing problems in adolescent health,” Eating and Weight Disorders, vol. 21, no. 4, pp. 709–717, Dec. 2016, doi: 10.1007/S40519-016-0327-Z/TABLES/2.
• 25.K. Loth, M. Wall, N. Larson, and D. Neumark-Sztainer, “Disordered eating and psychological well-being in overweight and nonoverweight adolescents: Secular trends from 1999 to 2010,” International Journal of Eating Disorders, vol. 48, no. 3, pp. 323–327, Apr. 2015, doi: 10.1002/EAT.22382. 461
• 26.. Hu et al., “Relationship of night sleep duration with health lifestyle, depressive symptoms, internet addiction in Chinese High school Students,” Sleep Biol Rhythms, vol. 20, no. 3, pp. 381–390, Jul. 2022, doi: 10.1007/S41105-022-00382-9/FIGURES/1.
• 27.K. Ioannidis et al., “Problematic usage of the internet and eating disorder and related psychopathology: A multifaceted, systematic review and meta-analysis,” Neurosci Biobehav Rev, vol. 125, pp. 569–581, Jun. 2021, doi: 10.1016/J.NEUBIOREV.2021.03.005.
• 28.M. Kożybska et al., “Problematic Internet Use, health behaviors, depression and eating disorders: a cross-sectional study among Polish medical school students,” Ann Gen Psychiatry, vol. 21, no. 1, Dec. 2022, doi: 10.1186/S12991-022-00384-4.
• 29.A. Tamarit, K. Schoeps, M. Peris-Hernández, and I. Montoya-Castilla, “The Impact of Adolescent Internet Addiction on Sexual Online Victimization: The Mediating Effects of Sexting and Body Self-Esteem,” International Journal of Environmental Research and Public Health 2021, Vol. 18, Page 4226, vol. 18, no. 8, p. 4226, Apr. 2021, doi: 10.3390/IJERPH18084226.