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.