Predictive factors of insomnia during the COVID-19 pandemic in Bangladesh: a GIS-based nationwide distribution.

ABSTRACT:

Background

In a densely populated country like Bangladesh, mental health-related burden and associated adverse outcomes are quite prevalent. However, exploration of sleep-related issues in general, and more specifically of insomnia during the COVID-19 pandemic has been scarce and restricted to a single location. The present study investigated the prevalence of insomnia and its predictive factors in the general population, and included Geographic Information System (GIS) analysis to identify regional heterogeneities of insomnia in Bangladesh.

Methods

This cross-sectional study was conducted during the early period of the COVID-19 pandemic. Information related to socio-demographics, knowledge of COVID-19, behaviors related to COVID-19, fear of COVID-19, and insomnia were inclu

SUBMITTER: Al Mamun F 

PROVIDER: S-EPMC9017957 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature