2.1 Statistical analysis
After the data obtained from the study were encoded, they were analysed using SPSS (Version 22 for Windows, SPSS Inc, Chicago, IL, USA) package program. During data analyses, continuous variables were expressed as mean ± standard deviation and median (min–max), and frequency data were expressed as number and percentage (%). The compliance of all measurement variables to normal distribution was evaluated with the Kolmogorov–Smirnov test. Pearson chi-square test was used for comparison of frequency data. In the intergroup comparisons of continuous variables, Kruskal–Wallis test was used for comparisons between the groups as the data did not conform to normal distribution, and subsequently, Mann–Whitney U test with Bonferroni correction was used to determine the group which led to the difference for variables with significant differences. Statistical significance level of all tests was accepted as p < .05.