Exploring the prevalence of depression, anxiety, and stress among university students in Bangladesh and their determinants

• Published in: Clinical epidemiology and global health 2024-07, Vol.28, p.101677, Article 101677
• Main Authors: Kamruzzaman, Md, Hossain, Ahammad, Islam, Md. Aminul, Ahmed, Md. Shakil, Kabir, Enamul, Khan, Md. Nuruzzaman
• Format: Article
• Language: English
• Subjects: Anxiety; Bangladesh; Depression; Stress; University student
• ISSN: 2213-3984; 2213-3984
• DOI: 10.1016/j.cegh.2024.101677

Depression, anxiety and stress among university students present a growing global challenge. This study aims to explore the prevalence of depression, anxiety, and stress and identifying their associated factors among university students in Bangladesh. We analyzed data of 738 university students collected through a cross-sectional survey. Outcome variables considered were depression, anxiety, and stress levels. Explanatory variables considered were several socio-demographic characteristics. Multinomial logistic regression analysis was employed to explore the association of the outcome variables with explanatory variables. We found a notable prevalence of moderate to severe levels of depression, anxiety, and stress among university students in Bangladesh, ranging from 25 % to 71 %. Among students from extended families, there was a 32 % lower likelihood of experiencing moderate depression (relative risk ratio [RRR], 0.68; 95 % confidence interval [CI], 0.47–0.97) and a 35 % lower likelihood of experiencing stress (RRR, 0.65; 95 % CI, 0.44–0.97) compared to their counterparts without depression and stress. Furthermore, students enrolled in the business faculty reported a significantly higher likelihood of stress, with a 2.28 times greater odds (95 % CI, 1.32–3.93) compared to students in the Science and Engineering faculty. This study underscores the pressing necessity for tailored interventions to address the elevated prevalence of depression, anxiety, and stress among university students in Bangladesh. The findings accentuate the importance of recognizing diverse risk factors and implementing mental health support programs.