PLoS ONE · 2020 · 844 citations · 38 references
Social SciencesHealth SciencesHigher EducationBehavioral EpidemiologyBehavioral HealthHealth PsychologyAnxiety DisordersAnxiety SymptomsDepressive DisordersMental HealthPsychiatric EpidemiologyAnxiety EpidemiologyBinary Logistic RegressionLogistic RegressionPrevalence Of DepressionPrivate Higher Education Tuition FeesSelf-report Anxiety QuestionnairesStudent Mental HealthWeb Survey Design
The study aimed to determine the prevalence and determinants of depression and anxiety among Bangladeshi university students during the COVID‑19 pandemic. A cross‑sectional web‑based survey of 476 students was conducted using a Google Form distributed via Facebook, and the data were analyzed through univariate, bivariate, and multivariate methods. Results showed that 15 % of students had moderately severe depression and 18.1 % had severe anxiety, with older students and those who previously gave private tuition more likely to be depressed, suggesting that coordinated efforts by government and universities are needed to mitigate academic and financial stress.
The purpose of this study was to investigate the prevalence of depression and anxiety among Bangladeshi university students during the COVID-19 pandemic. It also aimed at identifying the determinants of depression and anxiety. A total of 476 university students living in Bangladesh participated in this cross-sectional web-based survey. A standardized e-questionnaire was generated using the Google Form, and the link was shared through social media—Facebook. The information was analyzed in three consecutive levels, such as univariate, bivariate, and multivariate analysis. Students were experiencing heightened depression and anxiety. Around 15% of the students reportedly had moderately severe depression, whereas 18.1% were severely suffering from anxiety. The binary logistic regression suggests that older students have greater depression (OR = 2.886, 95% CI = 0.961–8.669). It is also evident that students who provided private tuition in the pre-pandemic period had depression (OR = 1.199, 95% CI = 0.736–1.952). It is expected that both the government and universities could work together to fix the academic delays and financial problems to reduce depression and anxiety among university students.
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