Üniversite Öğrencilerinde İnternet Bağımlılığının Kripto Para Ticareti Üzerindeki Etkisinde Göreli Yoksunluğun Aracı Rolü

Abstract

Amaç: Bu araştırma, üniversite öğrencilerinde internet bağımlılığının kripto para ticareti üzerindeki etkisinde göreli yoksunluğun aracı rolünü belirlemek amacıyla yürütülmüştür. Yöntem: Tanımlayıcı ve kesitsel nitelikteki bu çalışma, Türkiye'nin doğusunda yer alan bir üniversitede öğrenim gören 418 öğrenciyle gerçekleştirilmiştir. Veriler, “Kişisel Bilgi Formu”, “Young İnternet Bağımlılığı Testi–Kısa Formu”, “Sorunlu Kripto Para Ticareti Ölçeği” ve “Göreli Yoksunluk Ölçeği” kullanılarak toplanmıştır. Bulgular: Katılımcıların %59,8’i gelirlerinin giderlerine denk olduğunu, %56,9’u ise cinsiyetini erkek olarak beyan etmiştir. Katılımcıların yaş ortalaması 22,86’dır. İnternet bağımlılığının göreli yoksunluk üzerinde anlamlı ve pozitif bir etkisi olduğu saptanmıştır (katsayı = 0, 2139). Ayrıca, internet bağımlılığı kripto para ticareti üzerinde doğrudan pozitif bir etkiye sahiptir (katsayı = 0,1385). Göreli yoksunluğun da kripto para ticareti üzerinde anlamlı ve pozitif bir etkisi bulunmaktadır (katsayı=0,3292). Sonuç: İnternet bağımlılığı kripto para ticaretini doğrudan etkilemekte ve aynı zamanda göreli yoksunluk aracılığıyla dolaylı bir etki de göstermektedir. Bulgular, göreli yoksunluğun internet bağımlılığı ile kripto para ticareti arasındaki ilişkide kısmi bir aracı rol üstlendiğini ortaya koymaktadır.

Keywords

• internet bağımlılığı
• göreli yoksunluk
• kripto para ticareti

Mediating Role of Relative Deprivation in the Effect of Internet Addiction on Cryptocurrency Trading in University Students

Abstract

Objective: This research was conducted to determine the mediating role of relative deprivation in the effect of internet addiction on cryptocurrency trading in university students. Method: A descriptive and cross-sectional research design was employed with 418 university students from eastern Turkey. Data were collected using the "Personal Information Form," "Young Internet Addiction Test–Short Form," "Problematic Cryptocurrency Trading Scale," and the "Relative Deprivation Scale." Results: Of the participants, 59.8% reported that their income matched their expenditures, 56.9% identified as male, and the mean age was 22.86 years. Internet addiction demonstrated a significant positive effect on relative deprivation (coefficient = 0.2139). Additionally, internet addiction had a direct positive effect on cryptocurrency trading (coefficient = 0.1385). Relative deprivation also showed a significant direct positive effect on cryptocurrency trading (coefficient = 0.3292). Conclusion: Internet addiction directly influences cryptocurrency trading and also exerts an indirect effect through relative deprivation. These findings indicate that relative deprivation partially mediates the relationship between internet addiction and cryptocurrency trading.

Keywords

• Internet Addiction
• Cryptocurrency Trading
• Relative Deprivation

References

1. APA (2013) Diagnostic and Statistical Manual of Mental Disorders, 5th ed. (DSM-5). Washington DC, American Psychiatric Association.
2. Andic S, Durak Batigün A (2021) Development of internet addiction scale based on DSM-5 diagnostic criteria: an evaluation in terms of internet gaming disorder. Turk Psikiyatri Derg, 32:33-42.
3. Andrade M, Newall PW (2023) Cryptocurrencies as gamblified financial assets and cryptocasinos: novel risks for a public health approach to gambling. Risks, 11:49.
4. Bulut M, Menteş N (2022) Finans sektöründe bazı davranışsal bağımlılıklar; patolojik ticaret, sorunlu borsa ve sorunlu kripto para ticareti. Sosyal Bilimler Akademi Dergisi, 5:1-12.
5. Business Insider (2025) Crypto trading addiction is ruining lives. People are losing fortunes, wrecking marriages, and ending up in therapy. https://www.businessinsider.com/crypto-trading-addicts-gambling-therapy-marriage-conflicts-financial-losses-lawsuits-2025-2 (Accessed 02.07.2025).
6. Callan MJ, Shead NW, Olson JM (2011) Personal relative deprivation, delay discounting, and gambling. J Pers Soc Psychol, 101:955-973.
7. Cena L, Roccato M, Russo S (2023) Relative deprivation, national GDP and right‐wing populism: A multilevel, multinational study. J Communıty Appl Soc, 33:32-42.
8. Cohen J (2013) Statistical Power Analysis For The Behavioral Sciences. 2nd ed. Oxfordshire, UK, Routledge.

9. Çakmak S, Tamam L (2018) Kumar oynama bozukluğu: Genel bir bakış. Bağımlılık Dergisi, 19:78-97.
10. Delfabbro P, King D, Williams J, Georgiou, N (2021) Cryptocurrency trading, gambling and problem gambling. Addict Behav, 122:107021.
11. Delfabbro P, King DL, Williams J (2021) The psychology of cryptocurrency trading: Risk and protective factors. J Behav Addict, 10:201-207.
12. George D, Mallery M (2010) SPSS for Windows Step By Step: A Simple Study Guide and Reference, 17.0 update, 10th ed. Boston, Allyn & Bacon.
13. Griffiths M (2018) Hot topics in gambling: Gambling blocking apps, loot boxes, and'crypto-trading addiction'. Online Gambling Lawyer, 17:9-11.
14. Günay A (2022) Göreli Yoksunluk: Bir ölçek uyarlama çalışması. İktisadi İdari ve Siyasal Araştırmalar Dergisi, 7:202-211.
15. Hayes AF (2009) Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76:408-420.
16. Haworth A (2023) Cryptocurrency addiction is real — and patients are checking into rehab. The Times, https://www.thetimes.co.uk/article/cryptocurrency-addiction-rehab-castle-craig-z5tbdwj3z (Accessed 02.07.2025)
17. Hossain MS (2021) What do we know about cryptocurrency? Past, present, future. China Finance Review International, 11:552-572.
18. Jain L, Velez-Figueroa L, Karlapati S, Forand M, Ahmed R, Sarfraz Z (2025) Cryptocurrency Trading and Associated Mental Health Factors: A Scoping Review. J Prim Care Community Health, 16:21501319251315308.
19. Johnson B, Co S, Sun T, Lim CCW, Stjepanović D, Leung J, Saunders JB, Chan GCK (2023) Cryptocurrency trading and its associations with gambling and mental health: A scoping review. Addict Behav, 136:107504.
20. Karacic S, Oreskovic S (2017) Internet addiction through the phase of adolescence: a questionnaire study. JMIR Ment Health, 4:e11.
21. Kim HJ, Hong JS, Hwang HC, Kim SM, Han DH (2020) Comparison of psychological status and investment style between bitcoin investors and share investors. Front Psychol, 11:502295.
22. Kutlu M, Savcı M, Demir Y, Aysan F (2016) Young internet bağımlılığı testi kısa formunun türkçe uyarlaması: Üniversite öğrencileri ve ergenlerde geçerlilik ve güvenilirlik çalışması. Anadolu Psikiyatri Derg, 17:69-76.
23. Menteş N, Yolbaş İ, Bulut M (2021) Development and verification of problematic cryptocurrency trading scale. Psychiatry Clin Psychopharmacol, 31:310-318.
24. Mosbey A, Delfabbro P, King D (2024) The harmful consequences of cryptocurrency speculation and associated risk factors. Int J Ment Health Addict, 22: doi:10.1007/s11469-024-01405-x.
25. Mumcu E, Kılıç OHT, Başer A (2025) Cryptocurrency trading and its relationship with other addictions among healthcare professionals in Türkiye. PeerJ. 13:e19314.
26. Newall PW, Weiss-Cohen L (2022) The gamblification of investing: how a new generation of investors is being born to lose. Int J Environ Res Public Health, 19:5391.
27. Pak TY, Babiarz P (2025) Relative deprivation and prosocial behavior: Evidence from south korea. The Social Science Journal, 62:386-407.
28. Park S, Im S, Seol Y, Paek J (2019) Nodes in the bitcoin network: Comparative measurement study and survey. IEEE Access, 7:57009-57022.
29. Pawlikowski M, Altstötter-Gleich C, Brand M (2013) Validation and psychometric properties of a short version of young’s internet addiction test. Comput Hum Behav, 29:1212-1223.
30. Singhal B, Dhameja G, Panda PS (2018) Introduction to Blockchain. In Beginning Blockchain: A Beginner's Guide to Building Blockchain Solutions. Berkeley, CA, Apress.
31. Uçar M, Yildiz M, Çiftci N, Aylaz R (2024) Relationship of cryptocurrency trading to quality of life, sleep and stress levels in academics. J Ment Health Policy Econ, 27:99-104.
32. Vandenbrouckel JP, von Elm E, Altman DG, Gotzsche PC, Mulrow CD, Pocock SJ et al. (2007) Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. PLoS Med, 4:1628-1655.
33. WHO (2018) International Classification of Diseases 11th Revision (ICD-11). Geneva, World Health Organization.
34. Yellowlees PM, Marks S (2007) Problematic internet use or internet addiction? Comput Hum Behav, 23:1447-1453.
35. Yeşiltaş M, Arici HE, Sormaz Ü (2023) Does perceived overqualification lead employees to further knowledge hiding? The role of relative deprivation and ego depletion. International Journal of Contemporary Hospitality Management, 35:1880-1900.
36. Young KS (1998) Caught in the Net: How to Recognize the Signs of Internet Addiction and a Winning Strategy for Recovery. New York, Wiley.