Statistical analysis
The statistical analysis utilized IBM SPSS Statistics for Windows, version 23.0 (IBM Corp, Armonk, NY, USA). The significance level was established at 0.05 (95% confidence interval (CI)), with a desired power of 80% (b error of 0.2). To assess the normality of the data, Kolmogorov-Smirnov test was initially employed. Descriptive analyses were conducted for both quantitative variables (minimum, maximum, mean, and standard deviation (SD)) and qualitative variables (absolute and relative frequency). For variables exhibiting normal distribution and homogeneity of variances (determined through Levene’s test), group comparisons were performed using either Student’s t-test or chi-square tests. When the distribution of the quantitative variables did not follow normality, Mann-Whitney U was employed for group comparison. A linear general model of analysis of variance (ANOVA) was employed to examine the effects of time (measurement moments: pre-, middle term and post-intervention) and intervention group (IT group and RE group). Intrasubject effects (measurement moments) and intersubject effects were evaluated using a repeated measures ANOVA or mixed factorial ANOVA, complemented by the Huynh-Feldt sphericity correction analysis. The effect size was estimated using the Eta2 Coefficient (0–0.3 small/0.4–0.6 medium, 0.7–1 large). To stablish correlations between age and the outcome measures, Pearson correlation coefficient was calculated. To analyze sex-related differences, Student’s t-test for independence samples was used.