2.3.5 Statistical analyses
SPSS version 24.0 was used to analyze the data. The results were showed as mean (SD) and frequency (percent) for quantitative and qualitative data, respectively. Intention to treat approach was used to include data of subjects who discontinued the trial. The Kolmogorov– Smirnov test was used to evaluate the distribution normality of data. Un-paired sample student T-test and Chi-square test were applied to assess between group differences of quantitative and qualitative data, respectively. Analysis of covariance (ANCOVA) were applied to compare the quantitative variables between groups post intervention. Also, paired sample student T-test was used to compare the differences within groups between baseline and post-intervention. Percent change was calculated as [100 × (Intervention values -placebo values)/placebo values] to determine the differences between groups. P <0.05 was considered statistically significant.