Statistical analysis
The data were presented as Mean and 95% confidence intervals (95% CI) for the main outcomes and mean (SD) for socio‐demographic and clinical characteristics at baseline. To assess the normality and homogeneity of variance, Shapiro–Wilk and Levene tests were used, respectively. Baseline data were compared between groups using independent t‐tests or Chi‐squared. Generalized estimating equations (GEE) were used to test the main effects for group (intervention and control) and time (pre‐ and post‐intervention), as well as to test the time versus group interaction. Additionally, the progression in power training variables was also assessed using GEE (session 1 vs. session 2 vs. session 3). For both analyses, Least Significant Differences (LSD) post‐hoc tests were adopted for pairwise comparisons. The GEE method was selected for application of appropriate principles for analysing longitudinal data in the context of clinical trials. Given that the GEE was specifically developed for the analysis of paired and longitudinal data, and considering that the present study incorporates two factors (group and time), the GEE represents a well‐suited statistical test for this analysis.