2.6. Statistical Analysis
INTERACTION
Data were analyzed using SPSS software. Data normality was analyzed using the Shapiro–Wilk test. Mean ± SD and median (IC 95%) were used to present normally and non-normally distributed variables, respectively. Mean differences from baseline between the supplement and the placebo group were analyzed using the independent t test for continuous parameters. Interaction effects were analyzed using a two-way repeated measure analysis of covariance (ANCOVA) adjusted for baseline with Bonferroni correction.In addition, the mean intra-group percentage change was calculated using the formula [(mean at week 12 − mean baseline)/mean baseline × 100%] and presented in line graphs. The Wilcoxon test was applied, and the 