Statistical analyses

One-way between ANOVA’s was applied to test the age, anthropometric, and strength differences among the three groups. Two-way between-within ANOVA’s was applied on the F-V relationship parameters (i.e., F₀, V₀, a and P_max) to assess the differences both among the three groups (StrengthG, ActiveG and SedentaryG) and between the two jump types (SJ and CMJ). To provide normally distributed data, the same ANOVA was also applied on the Fisher Z-transformed r. In case of significant main effects without interactions, T-tests for the independent samples (factor ‘jump type’) were applied to compare the dependent variables obtained from the SJ and CMJ. A Bonferroni post-hoc test was applied to assess significant interactions. Eta squared (η²) was also calculated together with ANOVA’s, where the values of the effect sizes 0.01, 0.06, and above 0.14 were considered small, medium, and large, respectively (Cohen, 1988). Prior to the statistical analyses, initial testing revealed that none of the dependent variables significantly deviated from their normal distribution (Kolmogorov–Smirnov test). Alpha was set to 0.05. All statistical tests were performed using SPSS 16.0 (SPSS Inc, Chicago, IL, USA).