Statistical analysis
A Kolmogorov–Smirnov test was used to test the normal distribution of the data, and Mauchly's test was used to test for the assumption of sphericity. A single-rater intra-class correlation coefficient (ICC) and coefficient of variability (CV) were used to measure the analyzed variables' reliability (calculated from the baseline measurements taken for each of the dependent variables)One-way repeated measures ANOVA was used to examine differences in 3 km running time. Two-way repeated measures ANOVAs (4 × conditions [CTRL; WBV; DJ; WBV + DJ] × 3 time-points [pre-WU; post-WU; post-RUN]) were used to investigate the influence of warm-up type and 3 km run on jumping ability variables. When a significant interaction or main effect was found, post hoc tests with Bonferroni correction were used to analyze the pairwise comparisons. The magnitude of mean differences was expressed with standardized effect sizes. Thresholds for qualitative descriptors of Hedges g were interpreted as ≤ 0.20 “small”, 0.21–0.79 “medium”, and > 0.80 as “large”All data were analyzed using SPSS (version 25.0; SPSS, Inc., Chicago, IL, USA) and are reported as the means with standard deviations and their 95% confidence intervals (CIs). Statistical significance was set at p < 0.05.