A dataset on the prevalence and associated risk factors for mental health problems among female university students in Bangladesh

The data presented here relate to the article with the following title, '' Prevalence and associated risk factors for mental health problems among female university students during COVID-19 pandemic: A cross-sectional study findings from Dhaka, Bangladesh ''[1]. This article provides a dataset on the prevalence of psychological distress among 451 female university students during the ongoing COVID-19 pandemic. We collected their responses from October 15, 2021, to January 15, 2022, using Google survey tools (Google Forms). A structured questionnaire was prepared, consisting of sociodemographic variables and their association with mental health problems. Three psychometric scales, UCLA-3, GAD7, and PHQ-9, were applied to measure disorders of loneliness, anxiety, and depression, respectively. We performed the statistical analysis using IBM SPSS (v. 25.0). Each respondent gave their electronic consent for the study, and anonymized data were published. Hence, policymakers of government and non-government groups may utilize the data to create a variety of initiatives to support the mental health of female university students from Dhaka, Bangladesh. (c) 2023 The Author(s). Published by Elsevier Inc.