2.2 | Statistical analysis:
Statistical analysis of the data obtained in the study was evaluated
using the “SPSS for windows 23.0” statistical software. Continuous
variables were expressed as mean ± SD. After evaluating the conformity
of numerical data to normal distribution by Shapiro-Wilkins test,
student’s t test was used to compare numerical data with normal
distribution and the result was evaluated according to the equality of
variances and Mann-Whitney U test was used to compare numerical data
without normal distribution. Categorical data was given as numbers.
Pearson Chi-Square test and Fisher Exact test were used to compare
categorical data. Paired t or Wilcoxon Rank test was used after
evaluating the compatibility of the difference to normal distribution in
the comparison of the first and second survey results. Logistic
regression analysis was performed to determine the factors associated
with the presence of depression and anxiety. ROC curves were drawn for
effective factors and the area under the curve (AUC) values were
calculated. <0.05 was considered significant.
Post hoc power analysis of the study was calculated with G-Power, the
power of the study was 86% for the comparison made according to the PCR
result, 85% for the comparison made according to the participant’s
gender, 81% for the comparison made according to the APACHE-II score
and the questions 1 and 3 obtained through logistic regression 88% and
82% respectively.