Data analysis and statistical tests
worry, anxiety
Data were described using descriptive statistical methods such as mean and standard deviation. Then, the normality of quantitative data was examined using the Kolmogorov-Smirnov test. All data had normal distribution except the sub-scales of the PRAQ and the Cambridge worry scale. To normalize the distribution of these variables, the rule expressed by Nazeri et al. (2014) was used [An Independent t-test was used to evaluate the differences between the intervention and control groups in terms of total anxiety and worry in different phases of the study. Intergroup changes of anxiety and worry and their sub-scales were analyzed using repeated measures of Analysis of Variance (ANOVA). SPSS version 16 was used for data analysis (P < 0.05).