Mental health and predictors of depression during covid-19 pandemic in general population of odisha: A cross-sectional study

Abstract

Background: The emergence of the Coronavirus disease (COVID-19) pandemic has caused an unprecedented global catas-trophe in the 21st century as a major virus outbreak. The disease as well as the different preventive measures taken to contain the disease especially quarantine and lockdown, loss of income, loss of job and financial insecurity have led to an enormous impact on the mental health of the community and various psychological problems in the form of anxiety, depression and stress. Objective: This article aims to highlight the extent of the impact of COVID-19 on mental health with a special focus on depression in the general population of Odisha. Methods: This is a cross-sectional study carried out among the general population of Odisha through an online semi-structured questionnaire the link of which was sent to the participants by way of e-mails, WhatsApp and other social contacts. Data analysis of the received responses was done. Various statistical analyses were adopted using methods like Microsoft Excel, 2013, R version 4.0.2 software, t-test and Chi-square tests. Significant predictor analysis was done using logistic regression. Results: The incidence of depression to the tune of 43% was found (Mild-10.28%, Moderate-16.19%, Severe-5.56%, Extremely severe – 9.96%). Risk factors associated were the younger age group (21-40 years), unmarried persons (71.5%0, students (51.1%), persons not having symptoms of COVID-19 (78.4%), and persons without jobs (47.8%). Conclusion: The COVID-19 pandemic is associated with highly significant levels of depression and is the topmost priority concern. It is important to take adequate measures to mitigate the severity of the impact. Early identification of worsening mental health and prompt response to address the problem can prevent further damage.