Data analysis
Statistical analysis of extracted data was done using SPSS18 (SPSS, Inc., Chicago, IL, USA). Descriptive statistics were used to describe the data, draw tables, and calculate the percentage, mean and standard deviation. Inferential statistics were used to compare the mean of the variables in each group. Chi-square test was used to compare qualitative variables.The one sample Kolmogorov-Smirnov test will be used to check the normality of the distribution of the study data. Due to the non-normality of the distribution of the quantitative variables related to the demographic form, the Mann-Whiteny non-parametric test was used to compare the variables in the two groups. Also, due to the non-normality of the data distribution, Wilcoxon test was used to compare the mean score of the sexual quality of life at three time points for each group. Further, due to the non-normality of data distribution, the Mann-Whitney test and the between-Subjects Effects test were used to compare the score of the sexual quality of life between the two groups at three points in time (