Wearable Technology-Supported Training and Jump Performance in Elite Volleyball Players

Abstract

Purpose: This study aimed to examine the effect of a 6-week wearable technology-supported and individualized training approach on jump performance indicators in elite male volleyball players.

Method: Twenty elite male volleyball players (age: 24.5 ± 2.3 years; height: 190.2 ± 5.1 cm; body mass: 85.7 ± 6.4 kg) competing at the professional league level were randomly allocated to an experimental group (n = 10; wearable data-guided training) or a control group (n = 10; routine team training). Jump performance was assessed before and after the six-week period using vertical jump height, flight time, and contact time measured with the Optojump photoelectric system. Within-group changes were examined with paired samples t-tests, and the group-by-time effect was evaluated by comparing change scores between groups.

Results: The experimental group showed significant within-group improvements in vertical jump height (mean change = 5.5 cm, 8.4%, t(9) = 5.89, p < 0.001, d = 1.18), flight time (mean change = 0.05 s, 6.9%, t(9) = 5.27, p < 0.001, d = 1.10), and contact time (mean change = -0.02 s, -7.1%, t(9) = -3.43, p = 0.008, d = 0.78). Change-score comparisons showed greater improvement in the experimental group for vertical jump height (difference = 3.5 cm, p = 0.034) and flight time (difference = 0.04 s, p = 0.011), whereas the between-group difference for contact time was not statistically significant (p = 0.339).

Conclusion: The findings indicate that wearable technology-supported and individualized training was associated with greater improvements in vertical jump height and flight time in elite male volleyball players; however, the contact-time finding should be interpreted cautiously because the between-group change difference was not statistically significant.

Keywords

• elite volleyball
• wearable technology
• jump performance
• training load

Elit Voleybolcularda Giyilebilir Teknoloji Destekli Antrenman ve Sıçrama Performansı

Abstract

Amaç: Bu çalışmanın amacı, 6 haftalık giyilebilir teknoloji destekli ve bireyselleştirilmiş antrenman yaklaşımının elit erkek voleybolcularda sıçrama performansı göstergeleri üzerindeki etkisini incelemektir.

Yöntem: Profesyonel lig düzeyinde mücadele eden yirmi elit erkek voleybolcu (yaş: 24.5 ± 2.3 yıl; boy: 190.2 ± 5.1 cm; vücut ağırlığı: 85.7 ± 6.4 kg) deney grubu (n = 10; giyilebilir teknoloji verilerine dayalı antrenman) ve kontrol grubu (n = 10; rutin takım antrenmanı) olarak rastgele iki gruba ayrılmıştır. Sıçrama performansı, altı haftalık süreç öncesinde ve sonrasında Optojump fotoelektrik sistemiyle ölçülen dikey sıçrama yüksekliği, uçuş süresi ve temas süresi üzerinden değerlendirilmiştir. Grup içi değişimler eşleştirilmiş örneklemler t-testiyle, grup-zaman etkisi ise değişim skorlarının gruplar arasında karşılaştırılmasıyla analiz edilmiştir.

Bulgular: Deney grubunda dikey sıçrama yüksekliği anlamlı olarak artmış (ortalama değişim = 5.5 cm, %8.4, t(9) = 5.89, p < 0.001, d = 1.18), uçuş süresi anlamlı olarak artmış (ortalama değişim = 0.05 s, %6.9, t(9) = 5.27, p < 0.001, d = 1.10) ve temas süresi anlamlı olarak azalmıştır (ortalama değişim = -0.02 s, %-7.1, t(9) = -3.43, p = 0.008, d = 0.78). Değişim skorlarının gruplar arası karşılaştırmasında dikey sıçrama yüksekliği (fark = 3.5 cm, p = 0.034) ve uçuş süresi (fark = 0.04 s, p = 0.011) deney grubu lehine anlamlı farklılık göstermiştir. Temas süresi için gruplar arası değişim farkı istatistiksel olarak anlamlı değildir (p = 0.339).

Sonuç: Bulgular, giyilebilir teknoloji destekli ve bireyselleştirilmiş antrenman yaklaşımının elit erkek voleybolcularda dikey sıçrama yüksekliği ve uçuş süresi açısından deney grubu lehine olumlu değişimlerle ilişkili olduğunu göstermektedir. Ancak temas süresi bulgusu, gruplar arası değişim farkı anlamlı olmadığı için daha temkinli yorumlanmalıdır.

Keywords

• elit voleybol
• giyilebilir teknoloji
• sıçrama performansı

References

1. Akyildiz, Z., de Oliveira Castro, H., Çene, E., Laporta, L., Parim, C., Altundag, E., Akarçeşme, C., Guidetti, G., Miale, G., Silva, A. F., Nobari, H., & Clemente, F. M. (2022). Within-week differences in external training load demands in elite volleyball players. BMC Sports Science, Medicine and Rehabilitation, 14, 188. https://doi.org/10.1186/s13102-022-00568-1
2. Baus, J., Harry, J. R., & Yang, J. (2020). Jump and landing biomechanical variables and methods: A literature review. Critical Reviews in Biomedical Engineering, 48(4), 211-222. https://doi.org/10.1615/CritRevBiomedEng.2020034795
3. Berriel, G. P., Schons, P., Costa, R. R., Oses, V. H. S., Fischer, G., Pantoja, P. D., Kruel, L. F. M., & Peyré-Tartaruga, L. A. (2021). Correlations between jump performance in block and attack and the performance in official games, squat jumps, and countermovement jumps of professional volleyball players. Journal of Strength and Conditioning Research, 35(Suppl 2), S64-S69. https://doi.org/10.1519/JSC.0000000000003858
4. Berriel, G. P., Cardoso, A. S., Costa, R. R., Rosa, R. G., Oliveira, H. B., Kruel, L. F. M., & Peyré-Tartaruga, L. A. (2022). Does complex training enhance vertical jump performance and muscle power in elite male volleyball players? International Journal of Sports Physiology and Performance, 17(4), 586-593. https://doi.org/10.1123/ijspp.2021-0187
5. Borges, T. O., Moreira, A., Bacchi, R., Finotti, R. L., Ramos, M., Lopes, C. R., & Aoki, M. S. (2017). Validation of the VERT wearable jump monitor device in elite youth volleyball players. Biology of Sport, 34(3), 239-242. https://doi.org/10.5114/biolsport.2017.66000
6. Bouzigues, T., Candau, R., Philippe, K., Maurelli, O., & Prioux, J. (2024). Differences in training load, jump performance and injury occurrence in elite youth volleyball players. The Journal of Sports Medicine and Physical Fitness, 64(5), 465-474. https://doi.org/10.23736/S0022-4707.23.15442-9
7. Damji, F., MacDonald, K., Hunt, M. A., Taunton, J., & Scott, A. (2021). Using the VERT wearable device to monitor jumping loads in elite volleyball athletes. PLOS ONE, 16(1), e0245299. https://doi.org/10.1371/journal.pone.0245299
8. De Bleecker, C., Vermeulen, S., Willems, T., Segers, V., Spanhove, V., Leys, R., Vanrenterghem, J., & De Ridder, R. (2025). Validation of impact forces estimated by wearable device VERT in volleyball. Journal of Strength and Conditioning Research, 39(3), e458-e462. https://doi.org/10.1519/JSC.0000000000005007

9. de Leeuw, A.-W., van Baar, R., Knobbe, A., & van der Zwaard, S. (2022). Modeling match performance in elite volleyball players: Importance of jump load and strength training characteristics. Sensors, 22(20), 7996. https://doi.org/10.3390/s22207996
10. García-de-Alcaraz, A., Ramírez-Campillo, R., Rivera-Rodríguez, M., & Romero-Moraleda, B. (2020). Analysis of jump load during a volleyball season in terms of player role. Journal of Science and Medicine in Sport, 23(10), 973-978. https://doi.org/10.1016/j.jsams.2020.03.002
11. Jiang, W., Chen, C., & Xu, Y. (2024). Muscle structure predictors of vertical jump performance in elite male volleyball players: A cross-sectional study based on ultrasonography. Frontiers in Physiology, 15, 1427748. https://doi.org/10.3389/fphys.2024.1427748
12. Lima, R. F., Silva, A., Afonso, J., Castro, H., & Clemente, F. M. (2020). External and internal load and their effects on professional volleyball training. International Journal of Sports Medicine, 41(7), 468-474. https://doi.org/10.1055/a-1087-2183
13. Lin, H.-S., Wu, H.-J., Wu, C.-C., Chen, J.-Y., & Chang, C.-K. (2024). Quantifying internal and external training loads in collegiate male volleyball players during a competitive season. BMC Sports Science, Medicine and Rehabilitation, 16, 168. https://doi.org/10.1186/s13102-024-00958-7
14. Newton, R. U., Rogers, R. A., Volek, J. S., Häkkinen, K., & Kraemer, W. J. (2006). Four weeks of optimal load ballistic resistance training at the end of season attenuates declining jump performance of women volleyball players. Journal of Strength and Conditioning Research, 20(4), 955-961. https://doi.org/10.1519/R-5050502X.1
15. Pawlik, D., & Mroczek, D. (2023). Influence of jump height on the game efficiency in elite volleyball players. Scientific Reports, 13, 8931. https://doi.org/10.1038/s41598-023-35729-w
16. Rebelo, A., Pereira, J. R., Nakamura, F. Y., & Valente-dos-Santos, J. (2025). Beyond the jump: A scoping review of external training load metrics in volleyball. Sports Health, 17(1), 111-125. https://doi.org/10.1177/19417381241237738
17. Setuain, I., Berriel, G. P., Lanz, D., Schons, P., Oliveira, H. B., Grazioli, R., Peyré-Tartaruga, L. A., Garcia-Tabar, I., & Cadore, E. L. (2022). Jump performance and mechanics after a regular training bout in elite volleyball players. The Journal of Sports Medicine and Physical Fitness, 62(5), 633-640. https://doi.org/10.23736/S0022-4707.21.12734-3
18. Sheppard, J. M., & Newton, R. U. (2012). Long-term training adaptations in elite male volleyball players. Journal of Strength and Conditioning Research, 26(8), 2180-2184. https://doi.org/10.1519/JSC.0b013e31823c429a
19. Silva, A. F., Clemente, F. M., Lima, R., Nikolaidis, P. T., Rosemann, T., & Knechtle, B. (2019). The effect of plyometric training in volleyball players: A systematic review. International Journal of Environmental Research and Public Health, 16(16), 2960. https://doi.org/10.3390/ijerph16162960
20. Skazalski, C., Whiteley, R., Hansen, C., & Bahr, R. (2018). A valid and reliable method to measure jump-specific training and competition load in elite volleyball players. Scandinavian Journal of Medicine & Science in Sports, 28(5), 1578-1585. https://doi.org/10.1111/sms.13052
21. Sousa, A. C., Marques, D. L., Marinho, D. A., Neiva, H. P., & Marques, M. C. (2023). Assessing and monitoring physical performance using wearable technologies in volleyball players: A systematic review. Applied Sciences, 13(7), 4102. https://doi.org/10.3390/app13074102