Statistics Discipline, Science, Engineering and Technology (SET) School, Khulna University, Khulna, Bangladesh.
Sociology Discipline, Social Science School, Khulna University, Khulna, Bangladesh.
PLoS One. 2020 Aug 26;15(8):e0238162. doi: 10.1371/journal.pone.0238162. eCollection 2020.
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.
本研究旨在调查 COVID-19 大流行期间孟加拉国大学生中抑郁和焦虑的流行情况。它还旨在确定抑郁和焦虑的决定因素。共有 476 名居住在孟加拉国的大学生参与了这项横断面网络调查。使用 Google 表单生成了标准化的电子问卷，并通过社交媒体-Facebook 共享了链接。信息在三个连续的层次上进行分析，如单变量、双变量和多变量分析。学生们经历了更高的抑郁和焦虑。据报道，约 15%的学生有中度严重的抑郁，而 18.1%的学生患有严重的焦虑症。二项逻辑回归表明，年龄较大的学生抑郁程度更高（OR=2.886，95%CI=0.961-8.669）。此外，还可以明显看出，在大流行前提供私人辅导的学生有抑郁症状（OR=1.199，95%CI=0.736-1.952）。预计政府和大学可以共同努力解决学术延迟和财务问题，以减少大学生中的抑郁和焦虑。
