Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-12-01T04:38:07.681Z Has data issue: false hasContentIssue false

467 – The Relationship between Internet Addiction and Body Mass Index in Turkish Adolescents

Published online by Cambridge University Press:  15 April 2020

F. Canan
Affiliation:
Bolu Izzet Baysal Mental Health Hospital
O. Yildirim
Affiliation:
Abant Izzet Baysal University, School of Medicine, Bolu
T.Y. Ustunel
Affiliation:
Emsey Hospital
G. Sinani
Affiliation:
Marmara University, School of Medicine, Istanbul
O. Ozturk
Affiliation:
Diskapi Children’s Hospital, Ankara
C. Gunes
Affiliation:
Duzce University, School of Medicine, Duzce, Turkey
A.H. Kaleli
Affiliation:
Duzce University, School of Medicine, Duzce, Turkey
A. Ataoglu
Affiliation:
Duzce University, School of Medicine, Duzce, Turkey

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction:

It is widely accepted that obesity is a major public health problem in the world. The rapid rise in prevalence suggests environmental factors are responsible. Increased use of information and communication technology is also reported to be associated with increased rates of obesity.

Objectives:

Although many studies have analyzed the impact of televison viewing on obesity, the association of excessive Internet use with body mass index (BMI) has heretofore been evaluated only in relatively few studies.

Aims:

The purpose of this study was to investigate Internet use patterns and Internet addiction among adolescents and to examine the correlation between problematic Internet use and BMI.

Methods:

The study was conducted among 1938 students, aged between 14 and 18 years. Internet Addiction Test (IAT), Eating Attitudes Test, and a sociodemographic query form were used in the collection of data.

Results:

According to the IAT, 10.5% of the study sample was a ‘problematic Internet user’ or an ‘Internet addict’. A significant positive correlation between BMI and IAT (r = 0.307; p < 0.01) and weekly Internet use (r = 0.215; p < 0.01) was found. Linear regression analysis revealed a significant independent association of IAT with BMI (r = 0.235; p < 0.001). Web surfing, watching online videos, chat rooms and Internet messaging, and playing online games were significantly associated with increased BMI (p< 0.05).

Conclusions:

These results indicate an association between the Internet addiction and BMI. Further studies are needed to describe the causality of this association.

Type
Abstract
Copyright
Copyright © European Psychiatric Association 2013
Submit a response

Comments

No Comments have been published for this article.