Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Apr 26;87(1):43.
doi: 10.5334/aogh.3269.

Prevalence and Factors Associated with Mental Health Impact of COVID-19 Pandemic in Bangladesh: A Survey-Based Cross-Sectional Study

Affiliations

Prevalence and Factors Associated with Mental Health Impact of COVID-19 Pandemic in Bangladesh: A Survey-Based Cross-Sectional Study

Tanvir Abir et al. Ann Glob Health. .

Abstract

Background: Feelings of isolation, insecurity, and instability triggered by COVID-19 could have a long-term impact on the mental health status of individuals.

Objectives: The aim of this study was to examine the prevalence of mental health symptoms (anxiety, depression, and stress) in Bangladesh and the factors associated with these symptoms during the COVID-19 pandemic.

Methods: From 1 to 30 April 2020, we used a validated self-administered questionnaire to conduct a cross-sectional study on 10,609 participants through an online survey platform. We assessed mental health status using the Depression, Anxiety, and Stress Scale (DASS-21). The total depression, anxiety, and stress subscale scores were divided into normal, mild, moderate, severe, and multinomial logistic regression was used to examine associated factors.

Findings: The prevalence of depressive symptoms was 15%, 34%, and 15% for mild, moderate, and severe depressive symptoms, respectively. The prevalence of anxiety symptoms was 59% for severe anxiety symptoms, 14% for moderate anxiety symptoms, and 14% for mild anxiety symptoms, while the prevalence for stress levels were 16% for severe stress level, 22% for moderate stress level, and 13% for mild stress level. Multivariate analyses revealed that the most consistent factors associated with mild, moderate, and severe of the three mental health subscales (depression, anxiety, and stress) were respondents who lived in Dhaka and Rangpur division, females, those who self-quarantined in the previous seven days before the survey, and those respondents who experienced chills, breathing difficulty, dizziness, and sore throat.

Conclusion: Our results showed that about 64%, 87%, and 61% of the respondents in Bangladesh reported high levels of depression, anxiety, and stress, respectively. There is a need for mental health support targeting women and those who self-quarantined or lived in Dhaka and Rangpur during the pandemic.

PubMed Disclaimer

Conflict of interest statement

The authors have no competing interests to declare.

Figures

Figure 1
Figure 1
Prevalence of depression, anxiety, and stress levels during the COVID-19 pandemic. Error bars are 95% Confidence Intervals.
Figure 2
Figure 2
Spatial distribution of depression during COVID-19 in Bangladesh by division.
Figure 3
Figure 3
Spatial distribution of anxiety during COVID-19 in Bangladesh by division.
Figure 4
Figure 4
Spatial distribution of stress during COVID-19 in Bangladesh by division.

References

    1. Abir T, Kalimullah NA, Osuagwu UL, et al. Factors associated with the perception of risk and knowledge of contracting the SARS-Cov-2 among adults in Bangladesh: Analysis of online surveys. Int J Environ Res Public Health. 2020; 17(14): 5252. DOI: 10.3390/ijerph17145252 - DOI - PMC - PubMed
    1. Bong C-L, Brasher C, Chikumba E, McDougall R, Mellin-Olsen J, Enright A. The COVID-19 pandemic: Effects on low- and middle-income countries. Anesth Analg. 2020; 131(1): 86–92. DOI: 10.1213/ANE.0000000000004846 - DOI - PMC - PubMed
    1. Sabawoon W. Differences by country-level income in COVID-19 cases, deaths, case-fatality rates, and rates per million population in the first five months of the pandemic. bioRxiv. Published online 2020. DOI: 10.1101/2020.07.13.20153064 - DOI
    1. Corman VM, Landt O, Kaiser M, et al. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 2020; 25(3). DOI: 10.2807/1560-7917.ES.2020.25.3.2000045 - DOI - PMC - PubMed
    1. Krammer F. SARS-CoV-2 vaccines in development. Nature. 2020; 586(7830): 516–527. DOI: 10.1038/s41586-020-2798-3 - DOI - PubMed

LinkOut - more resources