Abstract
A web-based cross-sectional study was conducted among 1072 Bangladeshi young adults to identify the prevalence and correlates of depressive symptoms due to COVID-19 pandemic. The 9-item patient health questionnaire (PHQ-9) was used to measure depressive symptoms. Kruskal-Wallis H test and ordered logistic regression were employed to identify the drivers correlated with the levels of depressive symptoms. The estimated prevalence rates of moderate to severe depressive symptoms were 54.1%. Older age, residing urban area, not having stable family income, having relatives or acquaintances infected with COVID-19, being worried about educational delays or jobs, having the disturbance of daily activities, and being worried about social support were significantly associated with the levels of depressive symptoms among Bangladeshi young adults due to COVID-19 pandemic.
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