2.7. Statistical Analysis
Normality was tested with the Shapiro–Wilk test. Categorical variables (medications, education, and comorbidities) were presented by several cases, and the frequency was analyzed using the chi-square test. Considering that all scalar variables (age, BMI, falls, MMSE, BB, GP, VF) presented a normal distribution, they were acquired through means and standard deviations and were analyzed using the t-test for independent samples, while categorical data were analyzed using the chi-square test. The estimation of between- and within-group differences at baseline, post-training, and 12-week follow-up was performed by three-way repeated measures ANOVA. For this purpose, we considered the intervention DT versus CG as a factor between groups, and the measurement of time as a factor within the group (2 × 3 comparison). Data processing took place after checking all assumptions (homoscedasticity and normal distribution). Using partial eta-square, intergroup effect sizes were calculated according to the following categorization: small (