Prevalence and determinants of mental distress during COVID-19 outbreak in Bangladesh: evidence from an online survey

Shilpi Rani Saha, Md. Mobarak Hossain Khan
https://doi.org/10.35877/454RI.asci150

Abstract

Novel Coronavirus disease 2019 (COVID-19) is an ongoing pandemic and life-threatening highly infectious disease outbreak. The people of Bangladesh are at high risk of COVID-19 and have already experienced various socio-economic, Physical health, and psychological consequences. Particularly, mental health problems are dominantly reported in the literature and should be controlled. The main objective of this epidemiological study is to assess the mental distress and identify its determinants using an online-based survey. Such information is urgently needed to develop feasible strategies for Bangladesh. An online survey was conducted for this study from May 01 to May 05, 2020. A total of 240 respondents provided self-reported online responses. Respondent’s mental distress was measured by the General Health Questionnaire 12 (GHQ-12) and by the self-rated mental health (SRMH) questions. Various kinds of statistical analyses ranging from simple to multivariable logistic recession were performed using SPSS 23.0. About 31.3% and 48.3% of respondents were mentally distressed by GHQ-12 and SRMH questions, respectively. Logistic regression analysis revealed that mental distress was significantly higher among those respondents, whose usual activity was affected by the coronavirus (OR = 6.40, 95% CI: 1.87 - 21.90, p<0.001) and whose financial stress was increased due to lockdown (OR = 2.12, 95% CI: 1.01 – 4.46, p<0.05) on GHQ-12. Female sex (OR = 1.97, 95% CI: 1.03 – 3.75, p<0.05) and respondents with poor mental health before the outbreak (OR = 3.38, 95% CI: 1.18 – 9.72, p<0.05) were also significantly affected by mental distress on SRMH. At least thirty-one percent of the respondents were found to be mentally distressed. Some of the study findings, particularly significant determinants, should be considered while developing strategies to reduce the burden of mental distress among study respondents or similar groups.

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References (43)

  1. van der Hoek L, Pyrc K, Jebbink MF, et al. Identification of a new human coronavirus. Nat Med. 2004;10(4):368-373. doi:10.1038/nm1024
  2. Wang C, Horby PW, Hayden FG, Gao GF. A novel coronavirus outbreak of global health concern [published correction appears in Lancet. 2020 Jan 29;:]. Lancet. 2020;395(10223):470-473. doi:10.1016/S0140-6736(20)30185-9
  3. WHO, 2020a, Novel Coronavirus(2019-nCoV) Situation Report – 12, URL https:// https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200201-sitrep-12-ncov.pdf?sfvrsn=273c5d35_2
  4. WHO, 2020b. Coronavirus disease 2019 (COVID-19) Situation Report – 51. URL https://
  5. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200311-sitrep-51-covid-19.pdf?sfvrsn=1ba62e57_10.
  6. Johns Hopkins. (2020). COVID-19 Global Cases. Available online at: www.coronavirus.jhu.edu/map.html/.
  7. Liang L, Ren H, Cao R, et al. The Effect of COVID-19 on Youth Mental Health. Psychiatr Q. 2020;91(3):841-852. doi:10.1007/s11126-020-09744-3
  8. Hossain I, Khan MH, Rahman MS, Mullick AR, Aktaruzzaman MM. The epidemiological characteristics of an outbreak of 2019 novel Coronavirus Diseases [COVID-19] in Bangladesh: A descriptive study. Journal of Medical Science and Clinical Research. 2020; 8: 145-151. DOI: 10.3760/cma.j.issn.0254-6450.2020.02.003. 34.
  9. Worldmeter,2020a, Coronavirus (COVID-19) Mortality Rate, Available online at :https://www.worldometers.info/coronavirus/coronavirus-death-rate.
  10. WHO,2020c. Coronavirus disease 2019 (COVID-19) situation report – 52, URL https://www.who.int/docs/default-source/coronaviruse/20200312-sitrep-52-covid-19.pdf?sfvrsn=e2bfc9c0_2

How to Cite

Saha, S. R., & Khan, D. M. M. H. . (2021). Prevalence and determinants of mental distress during COVID-19 outbreak in Bangladesh: evidence from an online survey. Journal of Applied Science, Engineering, Technology, and Education, 3(1), 90–103. https://doi.org/10.35877/454RI.asci150