THE ASSOCIATION BETWEEN INTERNET USE AND OBESITY AMONG ADOLESCENTS

Introduction: Recently, due to the rapid developments in technology, the uncontrolled use of the internet leads to an increase in various healthy problems. The aim of this study was to evaluate the association between obesity and internet addiction among adolescents. Material and Method: Fifty patients aged between 12 and 17 diagnosed with obesity and 50 non-obese patients were included in the study. Anthropometric data- weight, weight standard deviation score (SDS), height, height SDS, body mass index (BMI), and BMI SDS, were recorded for all subjects. Fasting plasma glucose, fasting insulin, and Homeostatic Model Assessment- Insulin Resistance (HOMA-IR) values were determined for all obese cases. Both groups were administered an internet addiction test. Result: Mean internet addiction scores were 32.82±16.43 in the obese group and 24.94±14.37 in the control group (p=0.012). Internet addiction scores in the obese group were positively correlated with plasma glucose, insulin and HOMA-IR (r=0.281, p=0.048; r=0.540, p=

ADOLESANLARDA İNTERNET KULLANIMI İLE OBEZİTE İLİŞKİSİ

Giriş: Günümüzde teknolojijdeki hızlı gelişmelere paralel olarak internetin kontrolsüz kullanımı beraberinde çeşitli sağlık problemlerinde artışına neden olmaktadır. Bu çalışmanın amacı, adolesanlarda internet kullanımı ile obezite arasında bir ilişki olup olmadığının değerlendirilmesidir. Gereç ve Yöntem: Yaşları 12-17 arasında obezite tanısı ile izlenen 50 olgu ile obez olmayan 50 olgu çalışmaya alındı. Tüm olguların ağırlık, ağırlık standart deviasyon skoru (SDS), boy, boy SDS, vücut kitle indeksi (VKİ) , VKİ SDS kaydedildi. Obez olguların açlık plazma glukozu, açlık insülin ve HOMA-IR düzeyi değerlendirildi. Her iki gruba internet bağımlılığı ölçeği uygulandı. Bulgular: Obez olguların internet bağımlılığı ölçeği ortalama puanı 32.82 ±16.43 iken kontrol grubunun 24.94 ±14.37 idi (p=0.012). Obez olgularda internet bağımlılığı ölçeği puanları ile açlık plazma glukozu, açlık insülin ve HOMA-IR arasında pozitif korelasyon saptandı. (r=0.281, p=0.048; r=0.540, p=

PDF

___

World Health Organization. Obesity and Overweight Fact Sheet No:311, Geneva, WHO(May2012). www.who.int/mediacentre/factsheets/fs311/en/.

Türkiye Beslenme ve Sağlık Araştırması. Hacettepe Üniversitesi Sağlık Bilimleri Fakültesi Beslenme ve Diyetetik Bölümü ve Ankara Numune Eğitim ve Araştırma Hastanesi, Ankara; 2010.

Robinson GA, Geier M, Rizzolo D, Sedrak M. Childhood obesity: complications, prevention strategies, treatment. JAAPA 2011; 24(12):58-63.

Bundak R, Furman A, Gunoz H, Darendeliler F, Bas F, Neyzi O. Body mass index references for Turkish children. Acta Paediatr 2006; 95(2): 194–8.

Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985; 28(7): 412-9.

Young, K.S. Internet addiction: The emergence of a new clinical disorder. Cyberpsychol Behav 1996: 3(1); 237-44.

Bayraktar F. İnternet Kullanımının Ergen Gelişimindeki Rolü. [ Yüksek Lisans Tezi ] , Ege Üniversitesi, Sosyal Bilimler Enstitüsü, İzmir; 2001.

Young KS. Internet addiction. Am Behav Sci 2004; 48(4): 402-41.

Mota J, Ribeiro J, Santos MP, Gomes H. Obesity, physical activity, computer use, and TV viewing in Portuguese adolescents. Pediatr Exerc Sci 2006; 18(1): 113-21.

Tammelin T, Ekelund U, Remes J, Näyhä S. Physical activity and sedentary behaviors among Finnish youth. Med Sci Sports Exerc 2007; 39(7): 1067-74.

Feldman DE, Barnett T, Shrier I, Rossignol M, Abenhaim L. Is physical activity differentially associated with different types of sedentary pursuits? Arch Pediatr Adolesc Med 2003; 157(8): 797-802.

Kerner MS, Kurrant AB, Kalinski M. Leisure-time physical activity, sedentary behavior, and fitness of high school girls. Eur J Sport Sci 2004; 4(2): 1-17.

Çam HH, Nur N. A Study on the prevalence of internet addiction and its association with psychopathological symptoms and obesity in adolescents. TAF Prev Med Bull 2015; 14(3): 181-8.

Tao ZL, Liu Y. Is there a relationship between Internet dependence and eating disorders? A comparison study of Internet dependents and non-Internet dependents. Eat Weight Disord 2009; 14(2-3): 77-83.

Canan F, Yıldırım O, Ustunel TY, Sinani G, Kaleli AH, Gunes C, et al. The relationship between internet addiction and body mass index in Turkish adolescents. Cyberpsychol, Behavand Soc Netw 2014; 17(1): 40-5.

Bener A, Al-Mahdi HS, Al-Nufal M, Ali AI, Vachhani PJ, Tewfik I. Association between childhood computer use and risk of obesity and low vision. Journal of Public Health Frontier 2012; 1(3): 66-72.

Siomos KE, Dafouli ED, Braimiotis DA, Mouzasand OD, Angelopoulos NV. Internet Addiction among Greek Adolescent Students. Cyberpsychology & Behavior 2008;11(6): 653-7.

Chak K, Leung L. Shyness and Locus of Control as Predictors of Internet Addiction and Internet Use. Cyberpsychology & Behavior 2004; 7(5): 559-70.

Ha JH, Kim SY, Bae SC, Bae S, Kim H, Sim M. Depression and Internet Addiction in Adolescents. Psychopathology 2007; 40(6): 424–30.

Kaltiala HR, Lintonene T, Rimpela A. Internet addiction? Potentially problematic use of the internet in a population of 12-18 year-old adolescents. Addict Res Theory 2004; 12(1): 89-96.

Barnard RJ, Wen SJ. Exercise and diet in the prevention and control of the metabolic syndrome. Sports Med 1994; 18(4):218–28.

Landsberg L. Body fat distribution and cardiovascular risk: A tale of 2 sites. Arch Intern Med 2008;168(15): 1607–8.