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%.