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Prevalence and correlates of depressive symptoms among Rohingya (forcibly displaced Myanmar nationals or FDMNs) older adults in Bangladesh amid the COVID-19 pandemic

Published online by Cambridge University Press:  14 June 2021

Sabuj Kanti Mistry*
Affiliation:
ARCED Foundation, 13/1 Pallabi, Mirpur-12, Dhaka, Bangladesh Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia BRAC James P Grant School of Public Health, BRAC University, 68 Shahid Tajuddin Ahmed Sharani, Mohakhali, Dhaka-1212, Bangladesh
A. R. M. Mehrab Ali
Affiliation:
ARCED Foundation, 13/1 Pallabi, Mirpur-12, Dhaka, Bangladesh Innovations for Poverty Action, New Haven, CT, USA
Nafis Md. Irfan
Affiliation:
Institute of Nutrition and Food Science, University of Dhaka, Dhaka 1000, Bangladesh Interdisciplinary Graduate Program in Human Toxicology, University of Iowa, Iowa, USA
Uday Narayan Yadav
Affiliation:
Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia
Rumana Ferdousi Siddique
Affiliation:
Department of Psychology, University of Dhaka, Dhaka 1000, Bangladesh
Prince Peprah
Affiliation:
Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia
Sompa Reza
Affiliation:
Society for Health Extension and Development (SHED), Cox's Bazar, Bangladesh
Ziaur Rahman
Affiliation:
Society for Health Extension and Development (SHED), Cox's Bazar, Bangladesh
Lisa Casanelia
Affiliation:
Torrens University, Melbourne, Australia
Cathy O'Callaghan
Affiliation:
Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia
*
Author for correspondence: Sabuj Kanti Mistry, E-mail: smitra411@gmail.com
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Abstract

Background

Depression is globally a crucial communal psychiatric disorder, which is more common in older adults. The situation is considerably worse among millions of older (forcibly displaced Myanmar nationals or FDMNs) Rohingya adults, and the coronavirus disease-2019 (COVID-19) pandemic may exacerbate the already existing precarious situation. The present study investigated depressive symptoms and their associated factors in older adult Rohingya FDMNs in Cox Bazar, Bangladesh, during the COVID-19 pandemic.

Method

A total of 416 older adults aged 60 years and above residing in Rohingya camps situated in the South Eastern part of Bangladesh were interviewed using a 15-item Geriatric Depression Scale (GDS-15) in Bengali language. Chi-square test was performed to compare the prevalence of depressive symptoms within different categories of a variable and a binary logistic regression model was performed to determine the factors associated with depressive symptoms.

Results

More than 41% of Rohingya older adults had depressive symptoms (DS). Socio-demographic and economic factors such as living alone, dependency on family for living, poor memory, feelings of being left out, difficulty in getting medicine and routine medical care during COVID-19, perception that older adults are at highest risk of COVID-19 and pre-existing non-communicable chronic conditions were found to be significantly associated with developing DS. Higher DS was also evident among older female Rohingya FDMNs.

Conclusion

DS are highly prevalent in older Rohingya FDMNs during COVID-19. The findings of the present study call for immediate arrangement of mental health care services and highlight policy implications to ensure the well-being of older FDMNs.

Information

Type
Original Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Fig. 1. Geographical location of the study area

Figure 1

Table 1. Sociodemographic and lifestyle characteristics of the respondents (N = 416)

Figure 2

Table 2. Participants' characteristics and bivariate analysis (N = 416)

Figure 3

Table 3. Factors associated with depressive symptoms among participants (N = 416)