The aim of this master's thesis was to determine how and to what extent training various basketball elements during breaks in plyometric series would influence their parameters. The main goal was also to determine the level of activity during breaks between series that is still acceptable for effective plyometric training. The study involved 19 basketball players (mean age 24.11 ± 7.30 years) from the Zlatorog Laško Basketball Club, who played in the Nova KBM League in the 2022/2023 season or in the 2nd Slovenian Basketball League (SKL) for men in the 2023/2024 season. Using a two-point tensiometric plate by Kistler (Winterthur, Switzerland), we measured jump height and contact time, based on which we also calculated the reactive strength index. To monitor the intensity of active rest in the form of basketball elements of varying intensities, we used the Polar Team system for measuring heart rate.
We conducted statistical analysis using IBM SPSS Statistics 29 software (IBM Corporation, New York, USA). To compare dependent variables (jump height, contact time, and reactive strength index) based on the intensity of rest, series, and their combined effect, we used the ANOVA test for repeated measures and the Student’s paired t-test (post-hoc test). To compare heart rate based on the intensity of rest, we used one-way ANOVA.
We found that high-intensity active rest during plyometric training negatively affects jump height and the reactive strength index, whereas low and medium-intensity rest do not have a statistically significant effect. We conclude that passive rest is the most effective for achieving optimal effects in plyometric training. In cases where low or medium-intensity active rest is used, the effect on parameters is very small (<4%) and therefore such intensity is also suitable for plyometric training. High-intensity active rest has the most negative impact (7,09%) on the parameters studied and is therefore not recommended during plyometric training.
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