How does regular exercise affect internet addiction level in university students?




university, student, internet, addiction, exercise


Purpose : The internet is one of the most important technological developments of the era. Internet usage rate is increased rapidly. This intensity of use is thought to cause some behavior disorders in people. In this study, it was aimed to determine the internet addiction status of university students and to evaluate the relationship between regularly exercise and academic achievement. Material : The study group is consisted 50 [n=25 female, n=25 male] university students. The mean of the age of participants was 21.47 [±1.66]. Data was collected by personal information form and Internet Addiction Test. SPSS 22 program was used in the analysis of the obtained data and Shapiro-Wilk Test was applied to determine whether the data showed normal distribution and the significance level was accepted as p<0.05 in the analyses. Data were normally distributed. Paired-Samples T-Test was used to analyze of the data. Results : As the main hypothesis of the study, there was a significant difference between regularly exercise and internet addiction. Also, it was seen that the internet usage period of the participants who exercise regularly decreased. Conclusions : Doing regular exercise can reduces the level of internet addiction and the time spent on the Internet. Regulating and reducing the time spent on the internet can help to protect from psycho-social, physical and physiological negative effects of Internet addiction. It may be suggested to do regular exercise for this. Measures should be taken to reduce and prevent internet addiction of university students. Research can be repeated with different variables in different samples. For example; researches about internet addiction in elite level athletes.


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Author Biography

Ç.V. Koçak, Hitit University; North Campus, Ring Road, 19030, Corum, Turkey


1. Griffiths MD. Internet addiction: an issue for clinical psychology? Clinical Psychology Forum. 1996; 97: 32-36.

2. Caplan SE. Problematic Internet use and psychosocial well-being: Development of a theory based cognitive–behavioral measurement instrument. Computers in Human Behavior. 2002; 18: 553-575.

3. Young KS. What makes the Internet addictive: Potential explanations for pathological Internet use? In 105th annual conference of the American Psychological Association, 1997;15:12-30.

4. Kerberg CS. Problem and pathological gambling among college athletes. Annals of Clinical Psychiatry. 2005; 17(4): 243-247.

5. Young KS. Cognitive Behavior Therapy with Internet Addicts: Treatment Outcomes and Implications. CyberPsychology & Behavior, 2007;10:671–9.

6. Gönül AS. Patological internet use (internet dependency/abuse). New Symposium. 2002; 40:105-110.

7. Şahin O. The effect of regular exercise training on some physical and physiological parameters of children aged 12-14. PhD [dissertation]. Selcuk University Institute of Health Sciences; 2007.

8. Bliznevsky A, Kudryavtsev M, Kuzmin V, Tolstopyatov I, Ionova O, Yermakova T. Influence of personal characteristics of pupils and students on the effectiveness of the relationship to the specific physical activities. Journal of Physical Education and Sport, 2016;16:424–32.

9. Kamaev O, Proskurov E, Potop V, Nosko M, Yermakova T. Factors that influence somatic health of 10-11-year-old schoolchildren at the beginning and end of an academic year. Journal of Physical Education and Sport, 2017;17:407–13.

10. Biddle SJH: European Perspectives on Exercise and Sport Psychology. UK: Human Kinetics; 1995.

11. Ivashchenko O, Kapkan O, Khudolii O, Yermakova T. Informative Indicators of 14-15 Years’ Age Boys’ Motor Fitness. Teorìâ Ta Metodika Fìzičnogo Vihovannâ, 2017; 17(2): 86-97.

12. Lopatiev A, Ivashchenko O, Khudolii O, Pjanylo Y, Chernenko S, Yermakova T. Systemic approach and mathematical modeling in physical education and sports. Journal of Physical Education and Sport, 2017;17:146–55.

13. Koruç Z, Arsan N. Determinants of exercise behavior: exercise adherence and exercise dependence. Turkish Journal of Sport Medicine. 2009;44:105-113.

14. Willis JD, Campbell FL. Exercise Psychology. USA: Human Kinetics; 1991.

15. Koruç Z, Bayar P. The role and effects of exercise in the treatment of depression. Hacettepe Journal of Sport Sciences. 2004;1: 49-64.

16. Öcal K, Koçak SM. The effect of school sports on the academic achievement and behavioral development of secondary school students. Mediterranean Journal of Educational Research. 2010; (7): 89-94.

17. Anderson CA, Bushman BJ. Effects of violent video games on aggressive behaviour, aggressive cognition, aggressive affect, physiological arousal, and prosocial behaviour: A meta-analysis of the scientific literature. Psychosocial Science. 2001;12: 353-359.

18. Türkiye İstatistik Kurumu [Turkish Statistical Institute]. The Information of Technology Usage Survey in 2018 [document on the Internet]. 2019 Jan 21 [cited 2019 Feb 13]. Available from:

19. Cohen LM, Manion LL. Research Methods in Education. New York: Routledge; 1998.

20. Fraenkel JR, Wallen NE. How to design and evaluate research in education [6th ed. ]. New York: McGraw-Hill International Edition; 2006.

21. Gay LR, Airasian P. Educational research: Competencies for analysis andapplication. Upper Saddle River, NJ: Merrill Prentice Hall; 2000.

22. Büyüköztürk Ş, Kılıç Çakmak E, Erkan Akgün Ö, Karadeniz Ş, Demirel F. Bilimsel araştırma yöntemleri [Scientific research methods]. 23rd ed. Ankara:Pegem Akademi Yayıncılık; 2017. (In Turkish)

23. Koçak F. The relationship between leisure constraints, constraint negotiation strategies and facilitators with recreational sport activity participation of college students. College Student Journal. 2017; 51(4): 491-497.

24. Koçak F. Leisure constraints and faciltators: Perspectives from Turkey. European Journal of Physical Education and Sport Science. 2017; 3(10): 32-47.

25. Young KS. Psychology of Computer Use: XL. Addictive Use of the Internet: A Case That Breaks the Stereotype. Psychological Reports, 1996;79:899–902.

26. Kutlu M, Savcı M, Demir Y, Aysan F. Turkish adaptation of Young’s Internet Addiction Test-Short Form: a reliability and validity study on university students and adolescents. Anatolian Journal of Psychiatry. 2016;17:69-76.

27. Tabachnick BG. And Fidell LS. Using multivariate statistics. Boston, Pearson; 2013.
28. Tsai CC, Lin SSJ. Internet addiction of Taiwanese adolescents: an in-depth interview study. In 107th annual convention of the American Psychological Association, Washington: DC; 2000.

29. Young KS. Internet addiction: symptoms, evaluation and treatment. Innovations in clinical practice: A source book. 1999; 17(17): 351-352.

30. Shields MK, Behrman RE. Children and computer technology: Analysis and recommendations. The Future of Children. 2000; 4-30.

31. Mackinnon LT, Ritchie CB, Hooper SL, Abernethy PJ. Exercise Management: Concepts and Professional Practice. Champaign, Ill: Human Kinetics; 2003.

32. Chakravarthy MV, Booth FW. Eating, exercise, and “thrifty” genotypes: connecting the dots toward an evolutionary understanding of modern chronic diseases. Journal of Applied Physiology, 2004;96:3–10.




How to Cite

Koçak Ç.V. How does regular exercise affect internet addiction level in university students?. Physical Education of Students. 2019;23(4):186-90.

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