The Mediating Role of Self-Control in the Effect of Digital Game Addiction on University Students' Attitudes Towards Sports

Öz

Purpose: The purpose of this study is to examine the effect of digital game addiction on attitudes toward sports among university students and to test the mediating role of self-control in this relationship.

Method: The research was conducted using a cross-sectional and correlational survey model within the scope of quantitative methods. The sample of the study consisted of 385 university students. The Personal Information Form, the Digital Game Addiction Scale for University Students, the Multidimensional Short Self-Control Scale, and the Attitude Scale Towards Sports were used as data collection tools. The data were analyzed using the SPSS program; descriptive statistics, Pearson correlation analysis, and regression-based mediation analysis were applied. The 5,000 bootstrap resampling method was used to test the mediation effect.

Results: The findings revealed a positive and significant relationship between digital game addiction and self-control (r = .319, p < .01). A negative and significant relationship was found between self-control and attitudes toward sports (r = -.200, p < .01). The total effect between digital game addiction and attitude toward sports was not statistically significant (B = .080, p = .095). However, the effect of digital game addiction on self-control was found to be significant (B = .043, p < .001). Furthermore, when digital game addiction and self-control were included in the model together, the direct effect of digital game addiction on attitudes toward sports became significant (B = .156, p = .002), while self-control was found to predict attitudes toward sports in a significant and negative direction (B = -1.744, p < .001). Bootstrap analysis revealed that the indirect effect was significant (B = -0.076; 95% CI: -0.124 – -0.035).

Conclusion: The findings indicate that the effect of digital game addiction on attitudes toward sports is not significant at a direct level; however, it is significantly structured indirectly through self-control. The findings reveal that self-control is a significant mediating variable in this relationship. These results indicate that interventions focusing not only on digital gaming behavior but also on self-control and self-regulation skills are important in supporting positive attitudes toward sports among university students.

Anahtar Kelimeler

• Digital Game Addiction
• Self-Control
• Attitude Toward Sports
• University Students
• Mediation Effect

Üniversite Öğrencilerinde Dijital Oyun Bağımlılığının Spora Yönelik Tutum Üzerindeki Etkisinde Öz-Denetimin Aracı Rolü

Öz

Amaç: Bu araştırmanın amacı, üniversite öğrencilerinde dijital oyun bağımlılığının spora yönelik tutum üzerindeki etkisini incelemek ve bu ilişkide öz-denetimin aracı rolünü test etmektir.

Yöntem: Araştırma, nicel yöntem kapsamında kesitsel ve ilişkisel tarama modeline dayalı olarak yürütülmüştür. Çalışmanın örneklemini 385 üniversite öğrencisi oluşturmaktadır. Veri toplama aracı olarak Kişisel Bilgi Formu, Üniversite Öğrencileri İçin Dijital Oyun Bağımlılığı Ölçeği, Çok Boyutlu Kısa Öz-Kontrol Ölçeği ve Spora Yönelik Tutum Ölçeği kullanılmıştır. Veriler SPSS programı aracılığıyla analiz edilmiş; tanımlayıcı istatistikler, Pearson korelasyon analizi ve regresyona dayalı aracılık analizi uygulanmıştır. Aracılık etkisinin test edilmesinde 5.000 bootstrap yeniden örnekleme yöntemi kullanılmıştır.

Bulgular: Bulgular, dijital oyun bağımlılığı ile öz-denetim arasında pozitif yönlü ve anlamlı bir ilişki bulunduğunu göstermiştir (r = .319, p < .01). Öz-denetim ile spora yönelik tutum arasında ise negatif yönlü ve anlamlı bir ilişki saptanmıştır (r = -.200, p < .01). Dijital oyun bağımlılığı ile spora yönelik tutum arasındaki toplam etki istatistiksel olarak anlamlı bulunmamıştır (B = .080, p = .095). Buna karşın, dijital oyun bağımlılığının öz-denetim üzerindeki etkisinin anlamlı olduğu belirlenmiştir (B = .043, p < .001). Ayrıca, dijital oyun bağımlılığı ve öz-denetim birlikte modele dâhil edildiğinde, dijital oyun bağımlılığının spora yönelik tutum üzerindeki doğrudan etkisi anlamlı hâle gelmiş (B = .156, p = .002), öz-denetimin ise spora yönelik tutumu anlamlı ve negatif yönde yordadığı görülmüştür (B = -1.744, p < .001). Bootstrap analizi sonucunda dolaylı etkinin anlamlı olduğu saptanmıştır (B = -0.076; %95 GA: -0.124 – -0.035).

Sonuç: Elde edilen bulgular, dijital oyun bağımlılığının spora yönelik tutum üzerindeki etkisinin doğrudan düzeyde anlamlı olmadığını; ancak öz-denetim aracılığıyla dolaylı olarak anlamlı biçimde yapılandığını göstermektedir. Bulgular, öz-denetimin bu ilişkide anlamlı bir aracı değişken olduğunu ortaya koymaktadır. Bu sonuçlar, üniversite öğrencilerinde spora yönelik olumlu tutumun desteklenmesinde yalnızca dijital oyun davranışına değil, aynı zamanda öz-denetim ve öz-düzenleme becerilerine odaklanan müdahalelerin de önemli olduğunu göstermektedir.

Anahtar Kelimeler

• Dijital Oyun Bağımlılığı
• Öz-Denetim
• Spora Yönelik Tutum
• Üniversite Öğrencileri
• Aracılık Etkisi

Kaynakça

1. Andrade, F. C., & Hoyle, R. H. (2023). A synthesis and meta-analysis of the relationship between trait self-control and healthier practices in physical activity, eating, and sleep domains. Personality and Individual Differences, 210, 112095. https://doi.org/10.1016/j.paid.2023.112095.
2. Boat, R., & Cooper, S. B. (2019). Self-Control and Exercise: A Review of the Bi-Directional Relationship. Brain Plasticity, 5, 97–104. https://doi.org/10.3233/BPL-190082.
3. Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019). The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond Internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience & Biobehavioral Reviews, 104, 1–10. https://doi.org/10.1016/j.neubiorev.2019.06.032.
4. Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 71, 252–266. https://doi.org/10.1016/j.neubiorev.2016.08.033
5. de Ridder, D. T. D., Lensvelt-Mulders, G., Finkenauer, C., Stok, F. M., & Baumeister, R. F. (2012). Taking stock of self-control: A meta-analysis of how trait self-control relates to a wide range of behaviors. Personality and Social Psychology Review, 16(1), 76–99. https://doi.org/10.1177/1088868311418749
6. Englert, C., Graham, J. D., & Bray, S. R. (2020). Self-control in sport and exercise psychology. Sport, Exercise, and Performance Psychology, 9(2), 161–166. doi:10.1037/spy0000205
7. Finne, E., Englert, C., & Jekauc, D. (2019). On the importance of self-control strength for regular physical activity. Psychology of Sport and Exercise, 43, 165–171. https://doi.org/10.1016/j.psychsport.2019.02.007
8. George, D., & Mallery, P. (2010). SPSS for Windows step by step: A simple guide and reference (10th ed.). Boston, MA: Pearson.

9. Hagger, M. S., Wood, C., Stiff, C., & Chatzisarantis, N. L. D. (2010). Self-regulation and self-control in exercise: The strength-energy model. International Review of Sport and Exercise Psychology, 3(1), 62–86. https://doi.org/10.1080/17509840903322815.
10. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage. https://doi.org/ 10.54055/ejtr.v6i2.134
11. Haug, E., Rønnestad, M., ve Smith, O. R. F. (2024). Physical activity, problematic gaming behavior, and quality of life prior and during the first 9 months of the COVID-19 pandemic: Findings from a longitudinal study among university students. Scandinavian Journal of Medicine & Science in Sports, 34(6), e14666. https://doi.org/10.1111/sms.14666.
12. Koç, H., Şimşir Gökalp, Z., & Seki, T. (2023). The relationships between self-control and distress among the emerging adults: A serial mediating roles of fear of missing out and social media addiction. Emerging Adulthood. Advance online publication. https://doi.org/10.1177/21676968231151776.
13. MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000). Equivalence of the mediation, confounding and suppression effect. Prevention science : the official journal of the Society for Prevention Research, 1(4), 173–181. https://doi.org/10.1023/a:102659501137.
14. Nilsen, F. A., Bang, H., Boe, O., Martinsen, Ø. L., Lang-Ree, O. C., & Røysamb, E. (2020). The multidimensional self-control scale (MSCS): Development and validation. Psychological Assessment, 32(11), 1057–1074. https://doi.org/10.1037/pas0000950
15. Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
16. Rhodes, R. E., & de Bruijn, G.-J. (2013). How big is the physical activity intention–behaviour gap? A meta-analysis using the action control framework. British Journal of Health Psychology, 18(2), 296–309. https://doi.org/10.1111/bjhp.12032.
17. Şentürk, H. E. (2015). Spora yönelik tutum ölçeği: Geliştirilmesi, geçerliliği ve güvenirliği. CBÜ Beden Eğitimi ve Spor Bilimleri Dergisi, 7(2), 8–18.
18. Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of Personality, 72(2), 271–324. https://doi.org/10.1111/j.0022-3506.2004.00263.x
19. World Health Organization. (2020, October 22). Addictive behaviours: Gaming disorder.
20. Zhao, X., Lynch, J. G., Jr., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197–206. https://doi.org/10.1086/651257