Statistical analyses
Descriptive analysis were presented with frequency and percentage for categorical variables, and mean±standard deviation for continuous variables. Conformity of continuous variables to normal distribution was examined by visual (histogram and probability graphs) and analytical methods (Kolmogorov-Smirnov/Shapiro-Wilk tests). Independent group comparisons for categorical variables were made with Chi-Square (χ2) or Fisher tests. Student’s t-test was used in comparison of two independent groups for continuous variables, and One-Way Analysis of Variance (ANOVA) method was used in comparisons of three or more groups. The relationship between STAI and FAQLQ-PF scores was investigated by correlation analysis such as Pearson test in parametric and Spearman test in non-parametric correlation analyses. The independent factors predicting the FAQLQ-PF total score were analysed by multivariate linear regression model using possible factors detected in univariate analyses. Statistical significance, the type-1 error level was determined as 5%.