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.