Statistical analysis
REGRESSION
The statistical analysis was conducted according to the intention-to-treat principle, where all participants, including those who withdrew from treatment or had poor compliance, were included in the analysis based on their assigned group. Missing values were estimated using Multiple Imputation by linear regression for continuous variables. Descriptive statistics such as mean, standard deviation, median, and interquartile range were used to summarize the data. The normal distribution of the groups was assessed using the Shapiro–Wilk test, and homogeneity was confirmed using Levene's test. To evaluate the effect of the intervention, the non-parametric Mann–Whitney test was used since the difference between post-intervention and baseline scores did not follow a normal distribution. Effect sizes were interpreted using Hedges' g based on Cohen's guidelines [The significance level was set at 