AUTHOR=Biswas Md. Abdullah Al Jubayer , Hasan M. Tasdik , Samir Nora , Alin Sayma Islam , Homaira Nusrat , Hassan Md. Zakiul , Khatun Mst Rabeya , Anjum Afifa , Hossain Sahadat , Koly Kamrun Nahar , Safa Farhana , Alam Syeda Fatema , Rafi Md. Abdur , Osman Biswas Md. Abdullah al , Yasmin Farida , Podder Vivek , Trisa Tonima Islam , Azad Dewan Tasnia , Nodi Rhedeya Nury , Ashraf Fatema , Akther S. M. Quamrul , Ahmed Helal Uddin TITLE=The Prevalence and Associated Factors of Depressive Symptoms Among Medical Students in Bangladesh During the COVID-19 Pandemic: A Cross-Sectional Pilot Study JOURNAL=Frontiers in Public Health VOLUME=9 YEAR=2022 URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2021.811345 DOI=10.3389/fpubh.2021.811345 ISSN=2296-2565 ABSTRACT=Background

Whilst very limited studies have demonstrated a correlation between the COVID-19 pandemic and depressive symptoms amongst Bangladeshi medical students, the prevalence and associated factors of depressive symptoms as measured by the Patient Health Questionnaire (PHQ-9) remains widely unknown.

Objective

The study aimed to investigate the prevalence and factors associated with depression symptoms among Bangladeshi medical students during the COVID-19 pandemic lockdown period.

Method

In this web-based cross-sectional pilot study, medical students' data was collected using the Google Forms web survey platform after obtaining electronic informed consent. A total of 425 medical students were selected using a systematic sampling technique to accumulate depression symptoms and demographic and pandemic-related information. Depression was measured by a self-administered, validated English version of the Patient Health Questionnaire (PHQ-9) tool. The descriptive analysis utilized frequency and percentages, while the stepwise binary logistic regression analysis was performed to investigate the factors associated with depressive symptoms.

Result

Among 425 medical students, 62.3% were female, 97.4% unmarried. Almost 80.2% of medical students had mild to severe levels of depressive symptoms as characterized by PHQ-9. A significantly higher probability of depression was found amongst female students (adjusted OR = 1.8), those who struggled to stay away from social media (adjusted OR = 1.8), those who tried to be optimistic for maintaining better psychology (adjusted OR = 11.1), and those who always had a sleeping difficulty in the last 4 weeks (adjusted OR = 8.9).

Conclusion

A very high prevalence of depression symptoms among Bangladeshi medical students was found across the majority of socio-demographic variables. The alarming prevalence and associated factors of depression suggests the need for follow-intensity psychosocial interventions designed for medical students during the COVID-19 pandemic