2.5. Data Analysis
pain
DISEASES
To evaluate the homogeneous behavior of quantitative variables (age and BMI) at the baseline in the three groups (control, conventional, and exergame), the analysis of variance (ANOVA) and Kruskal–Wallis tests were used after checking the normality of the data using the Shapiro–Wilk test. Pearson’s chi-square test and Fischer’s exact test were used to comparing the categorical variables (marital status, education, family income, presence of diseases, pain in the last 7 days and 12 months, and medications) between the groups at the beginning of the study.In the inferential analysis (parametric or nonparametric) for the comparisons of plantar tactile sensitivity variables, the Shapiro–Wilk test was initially used to test the normality of the data. Intragroup comparisons between the two paired samples were performed using paired Student’s t-test or Wilcoxon test. Intergroup comparisons between three independent samples were performed using the Kruskal–Wallis test, and, in the case of statistical difference, Dunn’s post hoc test was used.The effect size was calculated for between-group comparisons (i.e., comparisons of differences between T0 and T1) using the partial eta2 parameter (partia leta squared, η