The Multi-Relationship Structure Between Some Symptoms and Features Seen During the New Coronavirus 19 Infection and the Levels of Anxiety and Depression Post-Covid

Abstract

The novel coronavirus (SARS-CoV-2 or COVID-19) epidemic and the measures taken to combat it have adver sely affected the psychological health of societies and individuals. In this study, it was aimed to examine the mult i-relationship structure between some symptoms, demographic characteristics during the infection period of individuals treated for COVID-19 infection and their anxiety/depression levels after discharge. One hundred individuals (n=100) who were treated with the diagnosis of COVID-19 participated in the study. Some symptoms and socio-demographic characteristics of the participants during the infection period were recorded and the Beck anxiety/depression scale was administered to the participants after discharge. Firstly, variables that create multicollinearity were removed from the data set via Explanatory Factor Analysis and the variable was reduced. Then, the independent principal components were determined and their attributes were found. The relationship structure between the features and the anxiety/depression levels of the patients was analyzed by reducing them to two dimensions via Multiple Correspondence Analysis. In this study, patients with chronic renal failure who received oxygen support during the infection process were positively associated with mild/moderate post-infection anxiety. Patients with chronic renal failure were found to have higher depression than those without. Patients with COPD who experienced loss of appetite and fever during the infection were positively associated with moderate to high levels of anxiety and moderate depression. In addition, these i ndividuals received more oxygen support during the treatment process and the depression level of these individual s was higher than the other patients. Our study revealed the multi-relationships structure between some symptoms and features seen during COVID-19 infection and the levels of anxiety/depression post-COVID. © 2022, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved.