İnternet Bağımlılığında Cinsiyet, Fiziksel Aktivite ve Yaşam Kalitesinin Tahmini Etkileri: Üniversite Öğrenci Örneklemi

Abstract

Amaç: Üniversite öğrencilerinin yaşam kaliteleri ve fiziksel aktifliklerinin internet bağımlılığı ile ilişkisini araştırmak ve bunları cinsiyet farklılıklarına göre incelemekti. Yöntem: Yaşları 18 ila 30 arasında değişen toplam 320 internet kullanıcısı üniversite öğrencisi araştırmaya dahil edildi. İnternet bağımlılık düzeyini ölçmede İnternet Bağımlılık Testi kullanıldı. Toplam test puanına göre alınan skor 49'un altında ise internet bağımlılığı yok olarak değerlendirildi. Uluslararası Fiziksel Aktivite Anketi- Kısa Formu (UFAA-SF) fiziksel aktivite düzeyi değerlendirmesinde kullanıldı. Yaşam kalitesini 4 boyutta inceleyen (fiziksel sağlık, psikolojik sağlık, sosyal ilişkiler ve çevre) Dünya Sağlık Örgütü Yaşam Kalitesi-Kısa anketi ile öğrenciler değerlendirildi. Bulgular: UFAA skorlarına göre öğrenciler, fiziksel aktivite düzeyi düşük (2035,54±2205,39 MET-dk/hafta) bireylerdi. İnternet bağımlılık düzeyleri ile (33,10±15,40) semptom göstermeyen (0-49) grupta yer aldılar. Erkek öğrencilerde fiziksel sağlık skorları daha yüksekti. İnternet bağımlılık düzeyi üzerinde fiziksel aktifliğin etkisi gözlenmedi. Fiziksel sağlık, internet bağımlılığı ile negatif yönlü etkileşim gösterirken, sosyal ilişkiler üzerinde pozitif yönde etkili oldu. Cinsiyet kontrol edildiğinde, internet bağımlılığı ile fiziksel sağlık ve çevre negatif yönde etkilenirken, sosyal ilişkiler ile internet bağımlılığı arasında pozitif yönlü ilişki vardı. Sonuç: İnternet bağımlılığı cinsiyet veya fiziksel aktivite düzeyi ile ilgi değildi ancak yaşam kalitesi alanları (fiziksel sağlık, çevre) ile ters orantılı ve sosyal ilişkilerle de doğru orantılıydı.

Keywords

• İnternet bağımlılığı
• Fiziksel aktivite
• Yaşam kalitesi
• Üniversite öğrencileri

Predicted Effects of Gender, Physical Activity and Quality of Life in Internet Addiction: University Student Sample

Abstract

Objective: The aim of this study was to investigate the relationship between the quality of life and physical activity of university students with internet addiction and to examine them according to gender differences. Methods: In this study, a total of 320 internet users of college students with ages ranging from 18 to 30 were recruited. To measure the level of ınternet addiction, the Internet Addiction Test was used. Based on the total test score, internet addiction was categorized as no addiction if the score was less than 49. International Physical Activity Questionaire-Short Form (IPAQ-SF) used in physical activity level assessment. Students were evaluated with the World Health Organisation Quality of Life Scale-BREF (WHOQOL-BREF) questionnaire, which examines the quality of life in 4 dimensions (physical health, psychological, social relations, and environment). Results: According to the UFAA scores, the students were individuals with low physical activity (2035.54±2205.39 MET-min/week). They were included in the asymptomatic (0-49) group with their Internet addiction level (33.10± 5.40). Physical health scores were higher in male students. There was no effect of physical activity on the ınternet addiction level. Physical health interacted negatively with internet addiction, while it had a positive effect on social relationships. If gender was controlled, internet addiction was negatively affected by physical health and the environment, and there was a positive correlation between social relations and internet addiction. Conclusion: Internet addiction was unrelated to gender or physical activity level however it was inversely related to the quality of life domains (physical health, environment), also was directly proportional to social relations.

Keywords

• Internet addiction
• Physical activity
• Quality of life
• College students

References

1. Widyanto L, Griffiths M. ‘Internet addiction’: a critical review. International Journal of mental health and Addiction. 2006;4(1):31-51.
2. Jorgenson AG, Hsiao RC-J, Yen C-F. Internet addiction and other behavioral addictions. Child and Adolescent Psychiatric Clinics. 2016;25(3):509-20.
3. Schimmenti A, Caretti V, La Barbera D. Internet Gaming Disorder or Internet Addiction? A plea for conceptual clarity. Clinical Neuropsychiatry. 2014;11(3-5):145-6. Internet Addiction on Campus: The Vulnerability of College Students. CyberPsychology & Behavior. 1998;1(1):11-7.
4. Internet Addiction Prevalence and Quality of (Real) Life: A Meta-Analysis of 31 Nations Across Seven World Regions. Cyberpsychology, Behavior, and Social Networking. 2014;17(12):755-60.
5. Li L, Xu D-D, Chai J-X, Wang D, Li L, Zhang L, et al. Prevalence of Internet addiction disorder in Chinese university students: A comprehensive meta-analysis of observational studies. Journal of behavioral addictions. 2018;7(3):610-23.
6. Bisen SS, Deshpande Y. Prevalence, predictors, psychological correlates of internet addiction among college students in India: a comprehensive study. Anadolu Psikiyatri Dergisi. 2020;21(2):117-23.
7. Prevalence and Psychosocial Risk Factors Associated with Internet Addiction in a Nationally Representative Sample of College Students in Taiwan. Cyberpsychology, Behavior, and Social Networking. 2011;14(12):741-6.
8. Akdağ M, Şahan-Yılmaz B, Özhan U, İsmail Ş. Üniversite öğrencilerinin internet bağımlılıklarının çeşitli değişkenler açısından incelenmesi (İnönü Üniversitesi örneği). İnönü Üniversitesi Eğitim Fakültesi Dergisi. 2014;15(1).

9. Canan F, Ataoglu A. The association between internet addiction, dissociation, and socio-demographic features among college students. European Psychiatry. 2020;26(S2):1705-.
10. Vyjayanthi S, Makharam S, Afraz M, Gajrekar S. Gender differences in the prevalence and features of internet addiction among Indian college students. Media Innovatica. 2014;3(2):47-51.
11. Chiu S-I, Hong F-Y, Chiu S-L. An Analysis on the Correlation and Gender Difference between College Students’ Internet Addiction and Mobile Phone Addiction in Taiwan. ISRN Addiction. 2013;2013:360607.
12. The Association between Adult ADHD Symptoms and Internet Addiction among College Students: The Gender Difference. CyberPsychology & Behavior. 2009;12(2):187-91.
13. Griffiths M. Trends in technological advance: Implications for sedentary behaviour and obesity in screenagers. Education and Health. 2010;28(2):35-8.
14. Canan F, Yildirim O, Ustunel TY, Sinani G, Kaleli AH, Gunes C, et al. The relationship between internet addiction and body mass index in Turkish adolescents. Cyberpsychology, Behavior, and Social Networking. 2014;17(1):40-5.
15. Li G, Hou G, Yang D, Jian H, Wang W. Relationship between anxiety, depression, sex, obesity, and internet addiction in Chinese adolescents: A short-term longitudinal study. Addictive Behaviors. 2019;90:421-7.
16. Laudet AB. The case for considering quality of life in addiction research and clinical practice. Addiction science & clinical practice. 2011;6(1):44.
17. Fatehi F, Monajemi A, Sadeghi A, Mojtahedzadeh R, Mirzazadeh A. Quality of life in medical students with internet addiction. Acta Medica Iranica. 2016:662-6.
18. Kalkan B, Bhat CS. Relationships of Problematic Internet Use, Online Gaming, and Online Gambling with Depression and Quality of Life among College Students. International Journal of Contemporary Educational Research. 2020;7(1):18-28.
19. Turkish Adaptation Study of Internet Addiction Scale. Cyberpsychology, Behavior, and Social Networking. 2010;13(2):185-9.
20. Young KS. Internet addiction: The emergence of a new clinical disorder. Cyberpsychology & behavior. 1998;1(3):237-44.
21. Eser E, Fidaner H, Fidaner C, Eser SY, Elbi H, Göker E. WHOQOL-100 ve WHOQOL-BREF'in psikometrik özellikleri. Psikiyatri Psikoloji Psikofarmakoloji (3P) Dergisi. 1999;7(Suppl 2):23-40.
22. Li K, Kay NS, Nokkaew N. The performance of the World Health Organization’s WHOQOL-BREF in assessing the quality of life of Thai college students. Social indicators research. 2009;90(3):489-501.
23. Saglam M, Arikan H, Savci S, Inal-Ince D, Bosnak-Guclu M, Karabulut E, et al. International physical activity questionnaire: reliability and validity of the Turkish version. Perceptual and motor skills. 2010;111(1):278-84.
24. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Medicine & science in sports & exercise. 2003;35(8):1381-95.
25. Kim JH, Lau C, Cheuk K-K, Kan P, Hui HL, Griffiths SM. Brief report: Predictors of heavy Internet use and associations with health-promoting and health risk behaviors among Hong Kong university students. Journal of adolescence. 2010;33(1):215-20.
26. Chern K-C, Huang J-H. Internet addiction: Associated with lower health-related quality of life among college students in Taiwan, and in what aspects? Computers in Human Behavior. 2018;84:460-6.
27. Khan MA, Shabbir F, Rajput TA. Effect of gender and physical activity on internet addiction in medical students. Pakistan journal of medical sciences. 2017;33(1):191.
28. Kim S-E, Kim J-W, Jee Y-S. Relationship between smartphone addiction and physical activity in Chinese international students in Korea. Journal of behavioral addictions. 2015;4(3):200-5.
29. Dang AK, Nathan N, Le QNH, Nguyen LH, Nguyen HLT, Nguyen CT, et al. Associations between internet addiction and physical activity among Vietnamese youths and adolescents. Children and Youth Services Review. 2018;93:36-40.
30. Tran BX, Hinh ND, Nguyen LH, Le BN, Nong VM, Thuc VTM, et al. A study on the influence of internet addiction and online interpersonal influences on health-related quality of life in young Vietnamese. BMC public health. 2017;17(1):138.
31. Nagori N, Vala A, Panchal B, Ratnani I, Vasava K. Association Of Anxiety And Quality Of Life With Internet Addiction Among Medical Students. National Journal of Integrated Research in Medicine. 2016;7(5).
32. Gupta S, Maurya VP, Singh AP, Patel AK. Internet Addiction and Quality of Life among Young Adults: An Exploratory Study. The International Journal of Indian Psychology ISSN. 2018:2348-5396.