Prevalence and Predictors of Anxiety, Depression, and Insomnia among Healthcare Workers in Dhaka City amid COVID-19 Pandemic

Abstract

Abstract Objective: The purpose of the study was to investigate the prevalence of anxiety, depression, and insomnia symptoms, and identify predicting factors among healthcare workers (HCW) of the Dhaka city in Bangladesh during the COVID-19 outbreak. The Generalized Anxiety Disorder 2-item, the Patient Health Questionnaire 9-item depression module, the Insomnia Severity Index were used to measure anxiety, depression and insomnia symptoms, respectively. Results: We found the prevalence of anxiety, depression and insomnia symptoms among HCW 20.7%, 26.5% and 44.2% respectively. Three regression models were run to identify the predictors of anxiety, depression and insomnia. Model 1 suggested that the singular marital status (β= -0.178, p= 0.011), occurrence of chronic disease (β= -0.132, p= 0.025), and financial difficulty (β= -0.163, p= 0.005) were the risk factors of anxiety. From model 2, it was found that the risk factors of depression were singular marital status (β= 0.254, p= <0.001) and financial difficulty (β= 0.198, p= 0.001). Final model revealed that the risk factors of insomnia were gender (β= -0.151, p= 0.008), singular marital status (β= -0.165, p= 0.016), financial difficulty (β= 0.213, p= <0.001) and occupation (β= -0.125, p= 0.029).