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Journals / Yalova Üniversitesi Spor Bilimleri Dergisi / 2026 / Cilt: 5 Sayı: 2

The Mediating Role of Decision-Making in the Relationship Between Psychological Vulnerability and Mental Fatigue in Recreational Tennis Players: A Model Moderated by Gender

Rekreasyonel Tenis Oyuncularında Psikolojik Kırılganlık ile Mental Yorgunluk Arasındaki İlişkide Karar Vermenin Aracı Rolü: Cinsiyete Göre Düzenlenmiş Bir Model

Mehmet Kara(Mersin Üniversitesi)0000-0001-9454-5164
Murat Genç(Mersin Üniversitesi)0000-0003-2596-8571
Ferhat Caner Açıkbaş(Mersin Üniversitesi)0000-0003-0219-8447
Mehmet Çağrı Çetin(Mersin Üniversitesi)0000-0001-7667-2143
Pages
204–223
Publication Date
2026-10-23
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Structural equation modelling results indicated that psychological vulnerability was significantly and negatively associated with internal decision-making (β = −.0875, p < .001).

📌 3 Key Takeaways

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Objective & Hypothesis:This study examined the mediating role of internal decision-making and the moderating role of gender in the relationship between psychological vulnerability and mental fatigue awareness among recreational tennis players.
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Key Findings & Data:The study included 495 participants who regularly engaged in recreational tennis.
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Conclusion & Impact:Structural equation modelling results indicated that psychological vulnerability was significantly and negatively associated with internal decision-making (β = −.0875, p < .001).
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:tenis · psikolojik kırılganlık · karar verme

Abstract

This study examined the mediating role of internal decision-making and the moderating role of gender in the relationship between psychological vulnerability and mental fatigue awareness among recreational tennis players. The study included 495 participants who regularly engaged in recreational tennis. Data were collected using the Psychological Vulnerability Scale (PVS), the Internal Decision-Making subscale of the Scale of Effective Decision-Making in Sport (SEDMS), and the Mental Fatigue Awareness Scale in Athletes (MFASA). Structural equation modelling results indicated that psychological vulnerability was significantly and negatively associated with internal decision-making (β = −.0875, p < .001). Internal decision-making was significantly and positively associated with mental fatigue awareness (β = .4909, p < .001). The direct relationship between psychological vulnerability and mental fatigue awareness was also statistically significant (β = −.2526, p < .001). In addition, internal decision-making showed a partial mediating role in this relationship, accounting for 49.1% of the total effect. In contrast, gender was not significantly associated with mental fatigue awareness either indirectly through internal decision-making (β = −.00334, p = .920) or in terms of its total effect (β = −.02743, p = .518). These findings indicate that psychological vulnerability, internal decision-making, and mental fatigue awareness represent interrelated psychological and cognitive processes among recreational tennis players and that the relationship between psychological vulnerability and mental fatigue awareness may be partially explained through internal decision-making.

Özet

Bu çalışmada, rekreasyonel tenis oyuncularında psikolojik kırılganlık ile mental yorgunluk farkındalığı arasındaki ilişkide içsel karar vermenin aracı rolü ve cinsiyetin düzenleyici rolü incelenmiştir. Araştırma, düzenli olarak rekreasyonel tenis oynayan 495 katılımcı ile gerçekleştirilmiştir. Veriler Psikolojik Kırılganlık Ölçeği (PKÖ), Sporda Etkili Karar Verme Ölçeği’nin (SEKVÖ) İçsel Karar Verme alt boyutu ve Sporcularda Mental Yorgunluk Farkındalık Ölçeği (SMYFÖ) kullanılarak toplanmıştır. Yapısal eşitlik modellemesi sonuçları, psikolojik kırılganlığın içsel karar verme ile negatif yönde anlamlı bir ilişki gösterdiğini ortaya koymuştur (β = −.0875, p < .001). İçsel karar verme ise mental yorgunluk farkındalığı ile pozitif yönde anlamlı bir ilişki göstermiştir (β = .4909, p < .001). Psikolojik kırılganlık ile mental yorgunluk farkındalığı arasındaki doğrudan ilişki de anlamlı bulunmuştur (β = −.2526, p < .001). Ayrıca içsel karar vermenin bu ilişkide %49.1 oranında kısmi aracılık rolü gösterdiği belirlenmiştir. Buna karşılık, cinsiyetin incelenen dolaylı ilişki üzerindeki düzenleyici rolü istatistiksel olarak anlamlı bulunmamıştır (β = −.00334, p = .920). Bulgular, psikolojik kırılganlık, içsel karar verme ve mental yorgunluk farkındalığının rekreasyonel tenis oyuncularında birbiriyle ilişkili psikolojik ve bilişsel süreçler olduğunu ve psikolojik kırılganlık ile mental yorgunluk farkındalığı arasındaki ilişkinin kısmen içsel karar verme üzerinden açıklanabileceğini göstermektedir.

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Cite This Article

Kara, M., Genç, M., Açıkbaş, F. C., Çetin, M. Ç. (2026). The Mediating Role of Decision-Making in the Relationship Between Psychological Vulnerability and Mental Fatigue in Recreational Tennis Players: A Model Moderated by Gender. Yalova Üniversitesi Spor Bilimleri Dergisi, Cilt: 5 Sayı: 2, 204–223. https://doi.org/10.70007/yalovaspor.1952090

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References (50)

  1. Akın, A., & Eker, H. (2011). Turkish version of the Psychological Vulnerability Scale: A study of validity and reliability. Paper presented at the 32th International Conference of the Stress and Anxiety Research Society (STAR), Münster, Germany.
  2. Anshel, M. H., Brinthaupt, T. M., & Kang, M. (2010). The disconnected values model improves mental well-being and fitness in an employee wellness program. Behavioral Medicine, 36(4), 113-122.
  3. Balish, S. M., Eys, M. A., & Schulte-Hostedde, A. I. (2013). Evolutionary sport and exercise psychology: Integrating proximate and ultimate explanations. Psychology of Sport and Exercise, 14(3), 413-422.
  4. Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (2018). Ego depletion: Is the active self a limited resource?. In Self-regulation and self-control (pp. 16-44). Routledge.
  5. Boksem, M. A., & Tops, M. (2008). Mental fatigue: costs and benefits. Brain Research Reviews, 59(1), 125-139.
  6. Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258.
  7. Bzdok, D., Schilbach, L., Vogeley, K., Schneider, K., Laird, A. R., Langner, R., & Eickhoff, S. B. (2012). Parsing the neural correlates of moral cognition: ALE meta-analysis on morality, theory of mind, and empathy. Brain Structure and Function, 217, 783-796.
  8. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
  9. Çetin, M. Ç., & Kara, M. (2024). Sporda Etkili Karar Verme Ölçeği (SEKVÖ): Geçerlik ve Güvenirlik Çalışması. Gazi Journal of Physical Education and Sport Sciences, 29(1), 40-52. https://doi.org/10.53434/gbesbd.1377855
  10. Colley, A., Comber, C., & Hargreaves, D. J. (1994). Gender effects in school subject preferences: A research note. Educational Studies, 20(1), 13-18.
  11. Cosh, S., & Tully, P. J. (2015). Stressors, coping, and support mechanisms for student athletes combining elite sport and tertiary education: Implications for practice. The Sport Psychologist, 29(2), 120-133.
  12. Crespo, M., & Reid, M. (2009). Coaching beginner and intermediate tennis players: a manual of the ITF coaching programme. International Tennis Federation.
  13. Daniel, R. M., De Stavola, B. L., Cousens, S. N., & Vansteelandt, S. (2015). Causal mediation analysis with multiple mediators. Biometrics, 71(1), 1-14.
  14. Dewi, P. E. D. M., Dharmayasa, I. P. A., & Tripalupi, L. E. (2019). Public Interest in Automatic Teller Machine (ATM) in Lembaga Perkreditan Desa (LPD). In International Conference on Tourism, Economics, Accounting, Management, and Social Science (TEAMS 19) (pp. 146-151). Atlantis Press.
  15. Dworkin, S. L., & Messner, M. A. (2002). Introduction: Gender relations and sport. Sociological Perspectives, 45(4), 347-352.
  16. Eime, R. M., Young, J. A., Harvey, J. T., Charity, M. J., & Payne, W. R. (2013). A systematic review of the psychological and social benefits of participation in sport for children and adolescents: informing development of a conceptual model of health through sport. International Journal of Behavioral Nutrition and Physical Activity, 10, 1-21.
  17. Else-Quest, N. M., Hyde, J. S., Goldsmith, H. H., & Van Hulle, C. A. (2006). Gender differences in temperament: a meta-analysis. Psychological Bulletin, 132(1), 33.
  18. George, D. (2011). SPSS for windows step by step: A simple study guide and reference, 17.0 update, 10/e. Pearson Education India.
  19. Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: a guide for non-statisticians. International Journal of Endocrinology and metabolism, 10(2), 486.
  20. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
  21. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.
  22. Hannie, H., Enri, U., & Umaidah, Y. (2020). Analysis Of Karawang Online Sales Customer Satisfaction Using Customer Satisfaction Index (Csi) Method. Jurnal Pilar Nusa Mandiri, 16(1), 7-12.
  23. Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
  24. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
  25. Hyde, J. S. (2005). The gender similarities hypothesis. American Psychologist, 60(6), 581.
  26. Hyde, J. S. (2014). Gender similarities and differences. Annual Review of Psychology, 65(1), 373-398.
  27. Ingram, R. E., Miranda, J., & Segal, Z. V. (1998). Cognitive vulnerability to depression. Guilford Press.
  28. Janis, I. L., & Mann, L. (1977). Decision making: A psychological analysis of conflict, choice, and commitment. Free Press.
  29. Kahneman, D. (1973). Attention and effort (Vol. 1063, pp. 218-226). Englewood Cliffs, NJ: Prentice-Hall. Kaiseler, M., Polman, R., & Nicholls, A. (2009). Mental toughness, stress, stress appraisal, coping and coping effectiveness in sport. Personality and Individual Differences, 47(7), 728-733.
  30. Kalaycı, Ş. (2010). SPSS uygulamalı çok değişkenli istatistik teknikleri (Vol. 5, p. 359). Ankara, Turkey: Asil Yayın Dağıtım.
  31. Kara, M., Kara, N. Ş., & Çetin, M. Ç. (2024). Sporcularda Mental Yorgunluk Farkindalik Ölçeği (Smyfö): Geçerlik ve Güvenirlik Çalişmasi. SPORMETRE Beden Eğitimi ve Spor Bilimleri Dergisi, 22(1), 53-69.
  32. Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company.
  33. Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford Publications.
  34. Laborde, S., Guillén, F., & Mosley, E. (2016). Positive personality-trait-like individual differences in athletes from individual-and team sports and in non-athletes. Psychology of Sport and Exercise, 26, 9-13.
  35. Makrakis, V., Biasutti, M., Kostoulas-Makrakis, N., Ghazali, M., Othman, W., Ali, M.,. & Mavrantonaki, K. (2024). ICT-enabled education for sustainability justice in South East Asian Universities. Sustainability, 16(10), 4049.
  36. Marcora, S. M., Staiano, W., & Manning, V. (2009). Mental fatigue impairs physical performance in humans. Journal of Applied Physiology.
  37. Moran, A. (2013). Sport and exercise psychology: A critical introduction. Routledge.
  38. Muraven, M., & Baumeister, R. F. (2000). Self-regulation and depletion of limited resources: Does self-control resemble a muscle?. Psychological Bulletin, 126(2), 247.
  39. Öztürker, C., Şahan, A., & Erman, K. A. (2025). Impact of mental fatigue on tennis players’ attention and groundstroke performance. Frontiers in Psychology, 16, 1544785. https://doi.org/10.3389/fpsyg.2025.1544785
  40. 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.
  41. Raheem, M. A., Udoh, N. S., & Gbolahan, A. T. (2019). Choosing appropriate regression model in the presence of multicolinearity. Open Journal of Statistics, 9(02), 159.
  42. Robbins, M. W., Ghosh-Dastidar, B., & Ramchand, R. (2021). Blending probability and nonprobability samples with applications to a survey of military caregivers. Journal of Survey Statistics and Methodology, 9(5), 1114-1145.
  43. Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
  44. Sinclair, V. G., & Wallston, K. A. (2004). The development and psychometric evaluation of the Brief Resilient Coping Scale. Assessment, 11(1), 94-101.
  45. Smith, M. R., Zeuwts, L., Lenoir, M., Hens, N., De Jong, L. M., & Coutts, A. J. (2016). Mental fatigue impairs soccer-specific decision-making skill. Journal of Sports Sciences, 34(14).
  46. Sweller, J. (1988) Cognitive load during problem solving, Cognitive Science 12: 257-285.
  47. Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics.(6. ed) Pearson.
  48. Tyrer, S., and Heyman, B. (2016). Sampling in epidemiological research: issues, hazards, and pitfalls. BJPsych Bulletin, 40(2), 57–60
  49. Weinberg, R. S. & Gould, D. (2023). Foundations of sport and exercise psychology (8th ed.). Human Kinetics.
  50. Makrakis, V., Biasutti, M., Kostoulas-Makrakis, N., Ghazali, M., Othman, W., Ali, M.,. & Mavrantonaki, K. (2024). ICT-enabled education for sustainability justice in South East Asian Universities. Sustainability, 16(10), 4049.