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Tadeusz Bober, Alicja Rutkowska-Kucharska, Sebastian Jaroszczuk, Maciej Barabasz and Wojciech Woźnica

References 1. Bunn J.W. (1972). Scientific principles of coaching. NY: Printice Hall. Inc., Inglewood Cliffs. 2. Greenhalgh A., Bottoms L., Sinclair J. (2012). Influence of surface on impact shock experienced during a fencing lunge. Journal of Applied Biomechanics 29, 463-467. 3. Roi G.S., Bianchedi D. (2008). The science of fencing. Implications for performance and injury prevention. Sports Medicine 38, 465-481. DOI: 10.2165/00007256-200838060-00003. 4. Putman C.A.A. (1983). Interaction between

Open access

Tatiana Poliszczuk, Dmytro Poliszczuk, Agnieszka Da̧browska-Perzyna and Monika Johne

-351. Roi G.S., Pittaluga I. (1997). Time-motion analysis in women's th sword fencing. In 4 IOC Congress on Sport Sciences, 22-25 October 1997. Principality of Monaco. Viitasalo J.T., Komi P.V. (2008). EMG, reflex and reaction time components, muscle structure, and fatigue during intermittent isometric contractions in man. International Journal of Sports Medicine 1(4), 185-190. DOI: 10.1055/s-2008-1034657. Gursoy R., Aggon E., Stephens R., Mehmet A.Z.(2012). Comparison of the physical and biomotor characteristics, and reaction time

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Maja Mańkowska, Tatiana Poliszczuk, Dmytro Poliszczuk and Monika Johne

-38. 21. Zwierko T. (2007). Differences in Peripheral perception between Athletes and Non-athletes. Journal of Human Kinetics 19, 53-62. 22. Kohmura Y, Yoshigi H. (2004). Training Effects of visual function on college baseball players. Human Performance Measurement 1, 15-23. 23. Borysiuk Z., Waśkiewicz Z. (2008). Information Processes, Stimulation and Perceptual Training in Fencing, Journal of Human Kinetics 19, 63-82. 24. Zwierko T., Osiński W., Lubiński W., Czepita D., Florkiewicz B. (2010). Speed of Visual Sensorimotor Processes and

Open access

Mirosław Mikicin

Summary

Study aim: The aim of the study was to determine work performance in the aspect of work rate, energy, persistence, adaptation rate, and accuracy based on the indices of an athlete’s work curve.

Material and methods: Thirty athletes (15 women and 15 men) who practised five sports (swimming, track and field, fencing, judo, and taekwondo) and a control group (30 university students, 15 women and 15 men) participated in a work curve test (Kraepelin). Both groups were equivalent. They were aged 18–25 years, all of them had finished secondary education, and studied at the same university. The analysis concerned indices grouped into 6 factors: quantitative measures of performance, measures of energy and persistence, measures of quick adaptation and efforts without self-restraint, measures of variability, measures of accuracy and diligence, and measures of additional factors.

Results: Factor analysis of the work curve revealed a significant difference to the benefit of the athletes (p < 0.001) in the measures of energy and persistence. The results obtained in this study revealed good adaptation of athletes to exercise, resistance to fatigue, and quick process of learning.

Conclusions: The results obtained may reflect the adaptation of athletes to long-term physical activity. Therefore, they are characterized by greater involvement and patience. Therefore, it can be concluded that monotonous training that necessitates much energy, concentration of attention, and endurance, and, consequently, high work performance, is one of the most important predictors of athletic activity.

Open access

Paweł Lewandowski and Elżbieta Hübner-Woźniak

. Margaritis (2003) Overloaded training increases exercise-induced oxidative stress and damage. Can. J. Appl. Physiol. 28: 588-604. Radak Z., H. Y. Chung, S. Goto (2008) Systemic adaptation to oxidative challenge induced by regular exercise. Free Radical Biol. Med. 44:153-159. Roi G. S., D. Bianchedi (2008) The science of fencing. Implications for performance and injury prevention. Sports Med. 38:465-481. Sen C. K. (2001) Antioxidant and redox regulation of cellular signalling: introduction