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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, Dhaka1000, 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, Dhaka1000, 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.

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

Background

Depression is globally recognized as a public health problem, which is more common in older adults (Allan et al., Reference Allan, Valkanova and Ebmeier2014; Cheruvu and Chiyaka, Reference Cheruvu and Chiyaka2019a). Data from the Global Burden of Diseases and the World Health Organization indicates approximately 264 million people aged 60 years and above have depressive symptoms (James et al., Reference James, Abate, Abate, Abay, Abbafati, Abbasi, Abbastabar, Abd-Allah, Abdela and Abdelalim2018; WHO, 2020b). For those over 65 years of age, depressive symptoms affects 10–16% of the global population and are largely determined by chronic illness, reduced functional abilities, cognitive impairment, and social isolation (WHO, 2017). Depression prevalence rates among older adults in low- and middle-income countries (LMICs), compared to high-income countries, are disparately high, yet this has received little attention in many LMICs, including Bangladesh (Patel, Reference Patel2007).

There is concern about the health and wellbeing needs faced by older adults who are affected by conflict, natural disaster and displacement. Evidence has shown higher prevalence rates of mental health disorders including depression with refugee populations more than the general population (Cummings et al., Reference Cummings, Sull, Davis and Worley2011; Li, Reference Li2016).The health of this population who have chronic co-morbidities may be exacerbated by lack of access to treatment and support, isolation, distress and uncertainty of daily existence (Singh et al., Reference Singh, Bassb, Sumbadzec, Rebokb, Perrina, Paichadzea and Robinsona2018a) and migratory grief (Cummings et al., Reference Cummings, Sull, Davis and Worley2011). Evidence have documented that mental health disorders are quite common among forcefully displaced people around the world (Singh et al., Reference Singh, Bassb, Sumbadzec, Rebokb, Perrina, Paichadzea and Robinsona2018a; Abu Suhaiban et al., Reference Abu Suhaiban, Grasser and Javanbakht2019; Khan and Haque, Reference Khan and Haque2021). A systematic review conducted focusing mental health disorders among displaced people has revealed depression and anxiety as the second prevalent mental health problem after post-traumatic stress disorder (PTSD) (Morina et al., Reference Morina, Akhtar, Barth and Schnyder2018). A longitudinal study from Germany conducted among Syrian refugee participants showed that 27% of the participants had clinical depression (Georgiadou et al., Reference Georgiadou, Zbidat, Schmitt and Erim2018).

The Rohingyas (forcibly displaced Myanmar nationals or FDMNs) are mostly a Muslim minority people residing in the Rakhine State of Myanmar, and have faced discrimination, violence and genocide for decades forcing them to leave their motherland and relocate in refugee camps in Bangladesh (UNHCR, 2018). The Rohingya camps are over-populated with an average population density of about 40 000 people per square kilometre (Kamal et al., Reference Kamal, Huda, Dell, Hossain and Ahmed2020). People living in these camps lack access to clean water, sanitation and health services (Limon et al., Reference Limon, Jubayer, Ahmed, Rahman and Kayshar2020). Moreover, recent evidence suggests a high prevalence of non-communicable diseases (NCDs), particularly hypertension (51.5%) and diabetes (14.2%) (WHO, 2018; Alam et al., Reference Alam, Kenny, Maguire, Mcewen, Sheel and Tolosa2019; Joarder et al., Reference Joarder, Sutradhar, Hasan and Bulbul2020). Consequently, Rohingya FDMNs are at increased risk of coronavirus disease-2019 (COVID-19) (Islam and Yunus, Reference Islam and Yunus2020). Previous research also pointed that older adults from refugee camps are more vulnerable to COVID-19 and associated morbidities including mental disorders, particularly due to the poor socio-economic and physical conditions (Peprah, Reference Peprah2020). Post-traumatic exposure along with overwhelming COVID-19 threat, ongoing risks in their life, perceived fear because of uncertainties, pre-existing conditions and poor socio-economic status can result into depressive disorders among the displaced population. Existing evidence (Mehra et al., Reference Mehra, Rani, Sahoo, Parveen, Singh, Chakrabarti and Grover2020; Sepúlveda-Loyola et al., Reference Sepúlveda-Loyola, Rodríguez-Sánchez, Pérez-Rodríguez, Ganz, Torralba, Oliveira and Rodríguez-Mañas2020) also suggests that older adults are more likely to experience depressive disorders during the overwhelming situation such as COVID-19 and can be more exaggerated if older adults have difficult life circumstances such as being refugees, have pre-existing conditions and inadequate support mechanism required for sense of safety and overall life satisfaction.

The COVID-19 pandemic has appeared to be the most serious public health disaster around the globe. As of 30 November 2020, there were more than 62 million confirmed cases with nearly 1.5 million deaths worldwide which is increased above than 131 million and 2.8 million, respectively, by 6 April 2021. Similarly, by 30 November 2020, there were more than 462,000 confirmed COVID-19 cases with 6609 deaths in Bangladesh which is increased above 644,000 and 9318, respectively, by 6 April 2021 (WHO, 2020a). Whilst the entire global population is at risk of COVID-19, evidence suggests that certain population groups are more vulnerable than others. Older adults are particularly vulnerable to COVID-19 with increased risk of morbidity and mortality (CDC Covid- Response Team, 2020). Evidence suggests that, more than half (53%) of the COVID-19 deaths occurred among the people aged 60 years and above in India (The Times of India, 2020), which was 39% in Bangladesh (Rahman et al., Reference Rahman, Afroze and Rahman2020).

Historically, an increased prevalence of mental health conditions has been associated with the outbreak of pandemics. For example, during the H1N1 influenza virus outbreak in 2009, anxiety among the United Kingdom's general population increased by 10–30% (Rubin et al., Reference Rubin, Potts and Michie2010). Similarly, during the severe acute respiratory syndrome (SARS) epidemic, psychiatric morbidities, depression, and stress disorders increased (Sim et al., Reference Sim, Chan, Chong, Chua and Soon2010). Furthermore, during the Ebola outbreak, in 2013–2016 in Guinea, Liberia, and Sierra Leone, the psychosocial well-being of the people was seriously hampered (Van Bortel et al., Reference Van Bortel, Basnayake, Wurie, Jambai, Koroma, Muana, Hann, Eaton, Martin and Nellums2016). Likewise, evidence suggests that stress, anxiety, depressive symptoms, insomnia, denial, anger, and fear are associated with the COVID-19 (Torales et al., Reference Torales, O'higgins, Castaldelli-Maia and Ventriglio2020). Also, the unplanned lockdown and subsequent difficulty in accessing food, health care, medication, and psychological support as well as social distancing and isolation could have exacerbated anxiety and depression in this particular population group (Cheruvu and Chiyaka, Reference Cheruvu and Chiyaka2019b; Wu, Reference Wu2020). For older people, a lack of financial support, family and social support, fear or anxiety over access to resources and emergency services have been attributed to the worsening of mental health conditions (Lee et al., Reference Lee, Yang, Moon, Yoo, Ha, Kim, Park, Choi, Lee and Ahn2020).

Study context

Although several studies have been undertaken in the past to study mental health issues among older adults in Bangladesh, no study has explored depressive symptoms among older Rohingya FDMNs in Bangladesh during the COVID-19 pandemic. Therefore, the present study was undertaken to: (1) identify depressive symptoms among the Rohingya older FDMNs; and (2) investigate the factors associated with depressive symptoms. The findings of the study will inform the policy makers and practitioners of the countries that host displaced populations or refugees to explore the mental health issues among the older adults during any overwhelming situation like COVID-19.

Methods

Study design and participants

The study followed a cross-sectional design and was carried out in October 2020 among 416 older adults aged 60 years and older residing in Rohingya refugee camps situated in the South-Eastern part of Bangladesh. The sample size of 460 was calculated with the following assumptions: (unknown) prevalence of COVID-19-related misconceptions = 50%, sampling error = 5%, confidence interval = 95% and non-response rate = 20%. Of the 457 eligible participants approached, a total of 416 Rohingya older adults responded to the study (response rate 91%). There is a total of 34 Rohingya camps located in Cox's Bazar district from which Camp 08E (SSID CXB-210), located at Ukhia sub-district, was conveniently selected (Fig. 1). In the absence of the list of the older adults in Rohingya camps, a convenience sampling technique was used to identify the eligible participants in the selected camp. The data collectors continued visiting the households until the desired sample size was achieved. If the approached household did not have an eligible participant, the surveyors moved to the next one, and if the household had more than one older adult, all of them were interviewed. The inclusion criteria included age ⩾60 years and FDMN status. The exclusion criteria included severe mental illnesses (clinically proved schizophrenia, bipolar mood disorder, dementia/cognitive impairment), a hearing disability, or unable to communicate. We did not use any instrument to assess the exclusion criteria, instead the family members of the prospective participants were asked if the participant had severe mental illness or hearing disability.

Fig. 1. Geographical location of the study area

Measures

Outcome measure

The primary outcome of the study was depressive symptoms, measured using the 15-item Geriatric Depression Scale (GDS-15), a widely used scale for measuring depressive symptoms among older adults in both clinical and community settings (Yesavage et al., Reference Yesavage, Brink, Rose, Lum, Huang, Adey and Leirer1982). Briefly, each item in the scale is measured by yes/no questions. After reverse coding of some negatively worded items, a cumulative score of the 15-items, with ranges between 0 and 15, is calculated. The total score was dichotomized into probable absence (score ⩽ 5) or presence of depressive symptoms (>5) (El-Gilany et al., Reference El-Gilany, Elkhawaga and Sarraf2018). The GDS-15 scale has previously been used among Bangladeshi older adults (Disu et al., Reference Disu, Anne, Griffiths and Mamun2019; Rahman et al., Reference Rahman, Rahman and Rahman2019). We also found it to be a reliable scale, indicated by the high internal consistency (Cronbach's alpha 0.82) among our study participants.

Explanatory variables

Explanatory variables considered in this study were age (categorized as 60–69, 70–79, and ⩾80), sex (male/female), marital status (married/widowed), literacy (illiterate/literate), family size (⩽4 or >4), living arrangements (living alone or with family), dependence on family for a living (yes/no), walking distance to the nearest health center (<30 min/⩾30 min), memory or concentration problems (no problem/had memory or concentration problem), presence of pre-existing non-communicable chronic conditions (yes/no), feeling lack of companionship (hardly, sometimes/often), feelings of being left out (hardly, sometimes/often), concerned about COVID-19 (hardly, sometimes/often), overwhelmed by COVID-19 (hardly, sometimes/often), difficulty in getting food, medicine, and routine medical care during COVID-19 (no/yes), perception that older adults are at highest risk of COVID-19, and source of COVID-19-related information (radio, television, health workers, friends/family/neighbors).

Self-reported information on pre-existing medical conditions, such as arthritis, hypertension, heart diseases, stroke, hypercholesterolemia, diabetes, chronic respiratory diseases, chronic kidney disease, and cancer were collected. This information was verified with available health records (if available and/or with family members). We did not collect information on the income and occupation as the refugee population is mostly unemployed and dependent on social support.

Data collection tools and techniques

A pre-tested semi-structured questionnaire developed in English and translated in Bengali was used to collect the information through face-to-face interview. Data were collected electronically using a SurveyCTO mobile app (https://www.surveycto.com/) by locally recruited data collectors who had previous experience administering health surveys in an electronic platform and who understood Rohingya dialects. The data collectors were trained extensively before the data collection using the Zoom platform.

The English version of the questionnaire was first translated into Bengali language and then back translated into English by two researchers to ensure content's consistency. The questionnaire was then piloted among a small sample (n = 10) of Rohingya refugee older adults to refine the language in the final version. However, the translated tool did not receive any corrections/suggestions from the participants. The pre-test results were not included in the final study.

Statistical analysis

The distribution of the variables was assessed through descriptive analysis. The Chi-square test was performed to compare the prevalence of depressive symptoms within different categories of a variable with a 5% level of significance. We used a binary logistic regression model to determine the factors associated with depressive symptoms. The final model includes only the variables having P < 0.25 in the unadjusted analysis (Liang and Zeger, Reference Liang and Zeger1986). Both unadjusted and adjusted odds ratios (ORs) were reported with a 95% confidence interval (95% CI). All analyses were performed using the statistical software package Stata (Version 14.0).

Results

Participants' characteristics

The majority of the Rohingya FDMNs older adults were in the age range of 60–69 years of age (74%), male (60%) and married (93.5%). Around 60% of respondents belonged to a family of greater than four and literacy rates were found to be only 2.4%. Around 13% of refugee older adults reported living alone while 54% reported they depend on family for living. The major source of COVID-19-related information was through health workers followed by information from friends/family members and neighbors. The role of television in obtaining COVID-19 information was deemed to be very low (only 6%) (see Table 1).

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

a Multiple responses.

Prevalence of depressive symptoms

Overall, 41.6% of older Rohingya FDMNs had depressive symptoms (DS) according to the Geriatric Depression Scale (GDS-15). Bivariate analysis revealed that DS were found to be highest in 60–69 years old, higher in males and those who live in big families (family size >4) (Table 2). Again, DS was found to be statistically significantly higher in the living alone group and those who were not dependent on family for living. Similarly, higher DS percentages have been reported in groups who have higher walking distance time (>30 min) to a health care center and who have problems with memory or concentration.

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

Participants were asked whether they had feelings of a ‘lack of companionship’ or being ‘left out’ and if so, how often. Those who had either of these feelings and frequently (sometimes-often) suffered had almost twice as many DS as compared to those who hardly or rarely felt them. Similarly, DS were significantly higher among those people who had difficulty in obtaining food, medicine and routine medical care. Again, DS was observed to be two times higher in Rohingya FDMNs older adults who had other chronic diseases as compared to those who had none.

Factors associated with depressive symptoms

The full model included the factors deemed to be associated with depressive symptoms (Table 2). The final model, based on the lowest AIC, retained the variables shown in Table 3. Hence, the model is adjusted for all the variables in Table 3. In the unadjusted model, living arrangements, family dependency for living, walking distance from health center, problems in memory/concentration, feeling a lack of companionship and being left out, difficulty in getting food, medicine and regular medical treatment during COVID-19, perception that older adults are at higher risk of COVID and suffering from a chronic or any other disease currently – were identified as significant risk factors for developing DS in older Rohingya refugee adults. However, after adjustment, except walking distance from a health center, feeling a lack of companionship and difficulty in getting food − all other factors remained significant for DS (Table 3).

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

It was found that older adult Rohingya refugees who were living alone had almost four and half times greater odds of developing DS as compared to those who were living with family (aOR 4.58, CI 1.58–13.30). Older adult refugees with low incidence of memory and concentration problems had five times higher odds of suffering from DS as compared to those who had no memory problems (aOR 5.05, CI 1.83–13.93). Again, those who had feelings of being left out (sometimes or very often) were three times more likely to develop DS as compared to those who hardly had this feeling (aOR 2.96, CI 1.38–6.37). Similarly, people who faced difficulty in getting food during the COVID-19 crisis and those who faced difficulty in getting medicine, had almost two times higher odds (aOR 1.92, CI 0.85–4.36) and more than 7 times greater odds (aOR 7.25, CI 2.93–17.96), respectively, of suffering from DS as compared to older adult refugees who had not been facing any difficulty obtaining food and medicine. On the other hand, those who perceived older adults to be of highest risk of contracting COVID-19 had more than five times higher odds (aOR 5.55, CI 2.57–11.97) of developing DS as compared to those who did not have this perception. Lastly, we found older adult refugees who were suffering from any other chronic disease had almost 6 times higher risk of developing DS as compared to those who had no chronic disease (aOR 5.88, CI 2.68–12.93).

Discussion

The present study reports DS and their association among Rohingya FDMNs older adults in a refugee camp setting in Cox bazar, Bangladesh during the COVID-19 pandemic. The current study is unique as it is the first to assess the level of DS and their associations among the older Rohingya FDMNs in Bangladesh. The study's findings might guide the relevant stakeholders, policy makers and international agencies to design approaches to address this unmet mental health need for this ultra-vulnerable population.

This investigation revealed that almost 42% of the participants had DS. Globally, evidence of different scales of mental health and depression suggest that prevalence rates of a major depressive disorder (MDD), generalized anxiety disorder (GAD), or PTSD are 44, 40, and 36% in refugees settings (Turrini et al., Reference Turrini, Purgato, Ballette, Nosè, Ostuzzi and Barbui2017). Similarly, a previous study on Rohingya FDMNs adults in Bangladesh reported prevalence of MDD, PTSD, and GAD to be 89, 36, and 14%, respectively (Riley et al., Reference Riley, Varner, Ventevogel, Taimur Hasan and Welton-Mitchell2017), but this study was done in adults and before the COVID-19 pandemic era. This signifies that even compared to the same scale of depression (GAD), the vulnerability of developing DS was higher in older Rohingya FDMNs in the COVID-19 era although studies from different groups, times and instrumental settings should be taken into consideration while interpreting and comparing the results.

Our study found higher DS in older adults female Rohingya FDMNs as compared to their male counterparts and this corroborates with previous findings in Rohingya FDMNs in Bangladesh (Turrini et al., Reference Turrini, Purgato, Ballette, Nosè, Ostuzzi and Barbui2017), Rohingya FDMNs in Malaysia (Kaur et al., Reference Kaur, Sulaiman, Yoon, Hashim, Kaur, Hui, Sabki, Francis, Singh and Gill2020), Syrian refugees in Iraq (Mahmood et al., Reference Mahmood, Ibrahim, Goessmann, Ismail and Neuner2019) and Bosnian refugees in Sweden (Blight et al., Reference Blight, Ekblad, Persson and Ekberg2006). It is evident from both local and global evidence that refugees have disproportionate outcomes based on gender and females suffer more psychosocial trauma, indicating the influence of both psychosocial and biological factors. Women are two times more susceptible than men to develop DS irrespective of nations, cultures, and ethnicities (Weissman et al., Reference Weissman, Bland, Canino, Faravelli, Greenwald, Hwu, Joyce, Karam, Lee and Lellouch1996; Mayo Clinic, 2019). Since women have been perceived to be in a lower social position to men in terms of power and status, they often encounter more traumas and inequities (poverty, harassment, disrespect, and forced choices). Even, exposure to the same stressors make women more susceptible to develop depression than men because of their reported greater sensitivity to stress hormones, constraints in using more adaptive coping strategies, and tendency to provide negative evaluation to emergencies than men (Verma et al., Reference Verma, Balhara and Gupta2011). Women are also at greater risk of developing stress-related symptoms as they have more caregiving responsibilities and are expected to balance work and household tasks in all types of situations which contributes to the development of depression in women. Being a member of refugee community in the pandemic might exacerbate this situation for older women.

Furthermore, we found living alone, lack of companionship and feelings of being left out were significant factors associated with DS. Undoubtedly older refugees not only have inherent vulnerability to stress or depression, dependency on others for food, shelter, medicine, and treatment, all of which might contribute to increased DS. Other study show correlations between DS and age, stressors such as migratory grief and death of spouse, and coping/social support variables (Cummings et al., Reference Cummings, Sull, Davis and Worley2011). In addition, the emergence of COVID-19 has added more stress in relation to feelings of fear and anxiety in older adult refugees regarding access to the essentials. It is important therefore for policy makers to offer especial psycho-social support packages for Rohingya FDMNs older adults and engage community frontline health workers to promote a sense of self-esteem, inclusion and integration in the community.

Similarly, difficulty in getting food, medicine and routine medical care during COVID-19 have been identified as being significant risk factors for developing DS in older Rohingya FDMNs. A lack of access to food and food insecurity has been linked to psychological stress in previous studies conducted with Rohingya FDMNs in Bangladesh, Malaysia (Turrini et al., Reference Turrini, Purgato, Ballette, Nosè, Ostuzzi and Barbui2017; Kaur et al., Reference Kaur, Sulaiman, Yoon, Hashim, Kaur, Hui, Sabki, Francis, Singh and Gill2020) and among refugees and displaced people in other settings such as South Africa, Sri Lanka and Canada (Hamid and Musa, Reference Hamid and Musa2010; Siriwardhana et al., Reference Siriwardhana, Adikari, Pannala, Siribaddana, Abas, Sumathipala and Stewart2013; Maharaj et al., Reference Maharaj, Tomita, Thela, Mhlongo and Burns2017). A recent review also identified poor nutrition, lack of access to shelter, health care, public services, and safety as risk factors to psychiatric illness and coronavirus in refugee settings (Júnior et al., Reference Júnior, De Sales, Moreira, Pinheiro, Lima and Neto2020). Therefore, current ongoing food aid and medical services should continue to be provided uninterrupted with safe social distancing.

Interestingly, older FDMNs who perceived that older adults are at a higher risk of contracting COVID-19 and those who did not depend on their family members for living had higher risk of experiencing DS. This is important to consider and address when providing psychological support to those with mental health conditions. A well informed and realistic outlook on COVID-19 susceptibility is necessary − since it provides the person with accurate knowledge, however, this increased fear and anxiety may lead them to more and higher level of DS. Therefore, it is crucial to consider the possible negative effect of the message while communicating and providing psycho-social support to this group. This is a variable that more easily controlled as opposed to their social situation or the presence of physical ailments. Another important finding − that single older adults are at more risk of DS as compared to those who depend on family members calls for further attention to support those older FDMNs who live alone, where family members or volunteers could play a pivotal role.

In our study, we found older Rohingya FDMNs suffering from pre-existing non-communicable chronic conditions were six times more likely to develop DS. In research with older Kurdish refugees in the United States, the strongest predictor of depressive symptoms was the number of medical conditions (Cummings et al., Reference Cummings, Sull, Davis and Worley2011). Similar findings were also observed in other studies that report chronic disease to be associated with higher stress, anxiety and depression in older adults during COVID-19 although this study was carried out among the general older population (Gorrochategi et al., Reference Gorrochategi, Munitis, Santamaria and Etxebarria2020). Chronic conditions are often associated with change in several biological processes including changes in the redox state, inflammatory markers, and immunity system that makes the neurological system more prone to stress and trauma (Chapman et al., Reference Chapman, Perry and Strine2005). Therefore, older FDMNs with pre-existing non-communicable chronic conditions need utmost attention considering their vulnerability to COVID-19 and depression. In addition, an effective communication strategy should be developed so that knowing the facts − about communicable diseases makes more case-fatality and detrimental outcomes in older people less common and does not in it itself become a message creating worry and anxiety to that group.

The present study outcome provides evidence for the need to develop and deliver psychosocial support policies and packages for older Rohingya FDMNs. This study is novel from several benchmarks. It provides quantitative insights into mental health and its associated factors for older Rohingya FDMNs older adults in Bangladesh during COVID-19 pandemic for the first time. Secondly, this refugee setting is unique since Rohingya refugee camps in Cox bazar, Bangladesh are the largest and most concentrated refugee camps in the world. The results from this study indicate, Rohingya FDMNs in Bangladesh have high DS after the outbreak of COVID-19 and have several psycho-social support issues (such as feelings of dependency, being left out and loneliness), infrastructure issues (walking distance of health center), supply issues (inadequate access to food and medicine during COVID-19) and pre-existing non-communicable chronic conditions; all of which should be taken into consideration for targeting psychological or mental health intervention programs for older Rohingya FDMNs (especially women) in Bangladesh.

This study is novel from several benchmarks. It provides quantitative insights into mental health and its associated factors for older Rohingya FDMNs older adults in Bangladesh during COVID-19 pandemic for the first time. Secondly, this refugee setting is unique since Rohingya refugee camps in Cox bazar, Bangladesh are the largest and most concentrated refugee camps in the world. Despite the uniqueness and timeliness of our study, the study does have some limitation. First, as we conveniently selected a camp and purposively selected the participants from the camp there is possibility of selection bias. The purposive sampling procedure also limits the generalizability of the study for the entire camp population. Secondly, while some of the previous studies used GDS-15 to measure depressive symptoms among older adults in Bangladesh, the tool was not validated among the Bangladeshi population. Third, the study was cross sectional in nature; so, causality cannot be checked and established. Fourth, considering the fact that regression analysis is not the choice of method for a non-probability sample, one should be cautious of interpreting the results from the regression analysis. Yet, we have tried to address the bias that might have resulted through convenience sampling by adding the sociodemographic variables that can possibly result in bias in the regression model. Finally, a mixed method study with a relatively larger sample size could have had better insights into the associated factors of DS.

Implications for policy, practice and further research

The present study provides findings which have significant implications for policy, practice and further research. The results from this study indicate need of community-based program aims to screen, diagnose and manage DS (Yadav et al., Reference Yadav, Thapa, Mistry, Pokhrel and Harris2020) through psychosocial support packages for older Rohingya FDMNs. Additionally, the findings from this study might guide the relevant stakeholders, policy makers and international agencies to design psychological first aid module to address this unmet mental health need for this ultra-vulnerable population. Our findings also suggest the need of similar studies focusing displaced older adults in various international setting where resettlement of refugees and displaced population have taken place.. The finding further suggests the need of mental health support for the older adults who are residing in several refugee or displaced people at various international settings during any overwhelming condition such as COVID-19 pandemic.

Conclusion

COVID-19 is contributing vigorously to the occurrence of mental health conditions like depressive symptoms among older adults. The present study revealed that the prevalence of DS is very high among older Rohingya FDMNs who are already in the position of increased susceptibility due to their age and other circumstances. Several crucial factors gave rise to this high prevalence that need to be addressed by the policy makers as well as community frontline health workers to reach an equilibrium for this population. Some new perspectives are also revealed that highlight the need for mental health intervention programs. In conclusion, the present study demonstrates the prerequisites of basic needs along with psycho-social support to be provided to ensure the well-being of older Rohingya FDMNs. Moreover, based on our findings we emphasize the need of early screening and management of DS among this target population which may prevent worsening of the symptoms, contributing to improved quality of life.

Acknowledgements

We acknowledge the role of Muntasir Alam, research assistant, ARCED Foundation and Shakil Al Mamun, senior officer, Data Management, ARCED Foundation for their support in smooth data collection for the study.

Financial support

This research did not receive any funding.

Conflict of interest

The authors have no conflict of interest to disclose.

Ethical standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. The study protocol was approved by the institutional review board of Institute of Health Economics, University of Dhaka, Bangladesh (Ref: IHE/2020/1037). Both written and oral informed consent was sought from the participants (thumb impressions from those who were not able to read and write) before administering the survey. Participation was voluntary, and participants did not receive any compensation. The Office of the Refugee Relief and Repatriation Commissioner (RRRC) also provided written approval to access the camp and conduct the survey.

References

Abu Suhaiban, H, Grasser, LR and Javanbakht, A (2019) Mental health of refugees and torture survivors: a critical review of prevalence, predictors, and integrated care. International Journal of Environmental Research and Public Health 16, 2309.CrossRefGoogle ScholarPubMed
Alam, N, Kenny, B, Maguire, J, Mcewen, S, Sheel, M and Tolosa, M (2019) Field epidemiology in action: an Australian perspective of epidemic response to the Rohingya health emergencies in Cox's Bazar, Bangladesh. Global Biosecurity 1, 14.CrossRefGoogle Scholar
Allan, CE, Valkanova, V and Ebmeier, KP (2014) Depression in older people is underdiagnosed. The Practitioner 258, 1922.Google ScholarPubMed
Blight, KJ, Ekblad, S, Persson, J-O and Ekberg, J (2006) Mental health, employment and gender. Cross-sectional evidence in a sample of refugees from Bosnia-Herzegovina living in two Swedish regions. Social Science & Medicine 62, 16971709.CrossRefGoogle Scholar
CDC Covid- Response Team (2020) Severe outcomes among patients with coronavirus disease 2019 (COVID-19) – United States, February 12−March 16, 2020. MMWR. Morbidity and Mortality Weekly Report 69, 343346.CrossRefGoogle Scholar
Chapman, DP, Perry, GS and Strine, TW (2005) Peer reviewed: the vital link between chronic disease and depressive disorders. Preventing Chronic Disease 2, 110.Google Scholar
Cheruvu, VK and Chiyaka, ET (2019 a) Prevalence of depressive symptoms among older adults who reported medical cost as a barrier to seeking health care: findings from a nationally representative sample. BMC Geriatrics 19, 110.CrossRefGoogle ScholarPubMed
Cheruvu, VK and Chiyaka, ET (2019 b) Prevalence of depressive symptoms among older adults who reported medical cost as a barrier to seeking health care: findings from a nationally representative sample. BMC Geriatrics 19, 192.CrossRefGoogle ScholarPubMed
Cummings, S, Sull, L, Davis, C and Worley, N (2011) Correlates of depression among older Kurdish refugees. Social Work 56, 159168.CrossRefGoogle ScholarPubMed
Disu, TR, Anne, NJ, Griffiths, MD and Mamun, MA (2019) Risk factors of geriatric depression among elderly Bangladeshi people: a pilot interview study. Asian Journal of Psychiatry 44, 163169.CrossRefGoogle ScholarPubMed
El-Gilany, A-H, Elkhawaga, GO and Sarraf, BB (2018) Depression and its associated factors among elderly: a community-based study in Egypt. Archives of Gerontology and Geriatrics 77, 103107.CrossRefGoogle ScholarPubMed
Georgiadou, E, Zbidat, A, Schmitt, GM and Erim, Y (2018) Prevalence of mental distress among Syrian refugees with residence permission in Germany: a registry-based study. Frontiers in Psychiatry 9, 393.CrossRefGoogle ScholarPubMed
Gorrochategi, MP, Munitis, AE, Santamaria, MD and Etxebarria, NO (2020) Stress, anxiety, and depression in people aged over 60 in the COVID-19 outbreak in a sample collected in Northern Spain. The American Journal of Geriatric Psychiatry 28, 993998.CrossRefGoogle Scholar
Hamid, AA and Musa, SA (2010) Mental health problems among internally displaced persons in Darfur. International Journal of Psychology 45, 278285.CrossRefGoogle ScholarPubMed
Islam, MM and Yunus, MDY (2020) Rohingya refugees at high risk of COVID-19 in Bangladesh. The Lancet Global Health 8, e993e994.CrossRefGoogle ScholarPubMed
James, SL, Abate, D, Abate, KH, Abay, SM, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J and Abdelalim, A (2018) Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet 392, 17891858.CrossRefGoogle Scholar
Joarder, T, Sutradhar, I, Hasan, MI and Bulbul, MMI (2020) A record review on the health Status of Rohingya refugees in Bangladesh. Cureus 12, 18.Google ScholarPubMed
Júnior, JG, De Sales, JP, Moreira, MM, Pinheiro, WR, Lima, CKT and Neto, MLR (2020) A crisis within the crisis: the mental health situation of refugees in the world during the 2019 coronavirus (2019-nCoV) outbreak. Psychiatry Research 288, 113000.CrossRefGoogle ScholarPubMed
Kamal, A-H, Huda, M, Dell, C, Hossain, S and Ahmed, S (2020) Translational strategies to control and prevent spread of COVID-19 in the Rohiynga refugee camps in Bangladesh. Global Biosecurity 1, 110.CrossRefGoogle Scholar
Kaur, K, Sulaiman, AH, Yoon, CK, Hashim, AH, Kaur, M, Hui, KO, Sabki, ZA, Francis, B, Singh, S and Gill, JS (2020) Elucidating mental health disorders among Rohingya refugees: a Malaysian perspective. International Journal of Environmental Research and Public Health 17, 6730.CrossRefGoogle ScholarPubMed
Khan, S and Haque, S (2021) Trauma, mental health, and everyday functioning among Rohingya refugee people living in short- and long-term resettlements. Social Psychiatry and Psychiatric Epidemiology 56, 497512.CrossRefGoogle Scholar
Lee, SW, Yang, JM, Moon, SY, Yoo, IK, Ha, EK, Kim, SY, Park, UM, Choi, S, Lee, S-H and Ahn, YM (2020) Association between mental illness and COVID-19 susceptibility and clinical outcomes in South Korea: a nationwide cohort study. The Lancet Psychiatry 7, 10251031.CrossRefGoogle ScholarPubMed
Li, W (2016) Comparative study on social-economic status, trauma and mental health disorders among older and younger refugees in Australia. Journal of Tropical Psychology 6, 19.CrossRefGoogle Scholar
Liang, K-Y and Zeger, SL (1986) Longitudinal data analysis using generalized linear models. Biometrika 73, 1322.CrossRefGoogle Scholar
Limon, MTI, Jubayer, MF, Ahmed, MU, Rahman, H and Kayshar, MS (2020) Rohingya refugees and coronavirus disease-2019: addressing possible jeopardy from the perspective of Bangladesh. Asia Pacific Journal of Public Health 32, 529530.CrossRefGoogle ScholarPubMed
Maharaj, V, Tomita, A, Thela, L, Mhlongo, M and Burns, JK (2017) Food insecurity and risk of depression among refugees and immigrants in South Africa. Journal of Immigrant and Minority Health 19, 631637.CrossRefGoogle ScholarPubMed
Mahmood, HN, Ibrahim, H, Goessmann, K, Ismail, AA and Neuner, F (2019) Post-traumatic stress disorder and depression among Syrian refugees residing in the Kurdistan region of Iraq. Conflict and Health 13, 111.CrossRefGoogle ScholarPubMed
Mayo Clinic (2019) Depression in women: Understanding the gender gap [Online]. Available at https://www.mayoclinic.org/diseases-conditions/depression/in-depth/depression/art-20047725#:~:text=After%20puberty%2C%20depression%20rates%20are,may%20continue%20throughout%20the%20lifespan (Accessed 07 December 2020).Google Scholar
Mehra, A, Rani, S, Sahoo, S, Parveen, S, Singh, AP, Chakrabarti, S and Grover, S (2020) A crisis for elderly with mental disorders: relapse of symptoms due to heightened anxiety due to COVID-19. Asian Journal of Psychiatry 51, 102114.CrossRefGoogle ScholarPubMed
Morina, N, Akhtar, A, Barth, J and Schnyder, U (2018) Psychiatric disorders in refugees and internally displaced persons after forced displacement: a systematic review. Frontiers in Psychiatry 9, 433.CrossRefGoogle ScholarPubMed
Patel, V (2007) Mental health in low- and middle-income countries. British Medical Bulletin 81, 8196.CrossRefGoogle ScholarPubMed
Peprah, P (2020) Ageing out of place in COVID-19 pandemic era: how does the situation look like for older refugees in camps? Archives of Gerontology and Geriatrics 90, 13.CrossRefGoogle ScholarPubMed
Rahman, MS, Rahman, MA and Rahman, MS (2019) Prevalence and determinants of loneliness among older adults in Bangladesh. International Journal of Emerging Trends in Social Sciences 5, 5764.CrossRefGoogle Scholar
Rahman, MS, Afroze, L and Rahman, MS (2020) COVID-19 pandemic and older people in Bangladesh. Dr. Sulaiman Al Habib Medical Journal 2, 8384.CrossRefGoogle Scholar
Riley, A, Varner, A, Ventevogel, P, Taimur Hasan, MM and Welton-Mitchell, C (2017) Daily stressors, trauma exposure, and mental health among stateless Rohingya refugees in Bangladesh. Transcultural Psychiatry 54, 304331.CrossRefGoogle ScholarPubMed
Rubin, GJ, Potts, HWW and Michie, S (2010) The impact of communications about swine flu (influenza A H1N1v) on public responses to the outbreak: results from 36 national telephone surveys in the UK. Health Technology Assessment 14, 183266.CrossRefGoogle ScholarPubMed
Sepúlveda-Loyola, W, Rodríguez-Sánchez, I, Pérez-Rodríguez, P, Ganz, F, Torralba, R, Oliveira, DV and Rodríguez-Mañas, L (2020) Impact of social isolation due to COVID-19 on health in older people: mental and physical effects and recommendations. The Journal of Nutrition, Health & Aging 24, 938947.CrossRefGoogle ScholarPubMed
Sim, K, Chan, YH, Chong, PN, Chua, HC and Soon, SW (2010) Psychosocial and coping responses within the community health care setting towards a national outbreak of an infectious disease. Journal of Psychosomatic Research 68, 195202.CrossRefGoogle ScholarPubMed
Singh, N, Bassb, J, Sumbadzec, N, Rebokb, G, Perrina, P, Paichadzea, N and Robinsona, C (2018) Identifying mental health problems and idioms of distress among older adult internally displaced persons in Georgia. Social Science & Medicine, 211, 3947.CrossRefGoogle ScholarPubMed
Siriwardhana, C, Adikari, A, Pannala, G, Siribaddana, S, Abas, M, Sumathipala, A and Stewart, R (2013) Prolonged internal displacement and common mental disorders in Sri Lanka: the COMRAID study. PloS One 8, e64742.CrossRefGoogle ScholarPubMed
The Times of India (2020) Covid toll in working age group at 10% now. Available at http://timesofindia.indiatimes.com/articleshow/80018558.cms?utm_source = contentofinterest&utm_medium=text&utm_campaign=cppst [Online]. Available at https://timesofindia.indiatimes.com/india/covid-toll-in-working-age-group-at-11-now/articleshow/80018558.cms (Accessed 08 April 2021).Google Scholar
Torales, J, O'higgins, M, Castaldelli-Maia, JM and Ventriglio, A (2020) The outbreak of COVID-19 coronavirus and its impact on global mental health. International Journal of Social Psychiatry 66, 317320.CrossRefGoogle ScholarPubMed
Turrini, G, Purgato, M, Ballette, F, Nosè, M, Ostuzzi, G and Barbui, C (2017) Common mental disorders in asylum seekers and refugees: umbrella review of prevalence and intervention studies. International Journal of Mental Health Systems 11, 51.CrossRefGoogle ScholarPubMed
UNHCR (2018) Rohingya Refugee Crisis [Online]. Available at https://www.unocha.org/rohingya-refugee-crisis (Accessed 07 December 2020).Google Scholar
Van Bortel, T, Basnayake, A, Wurie, F, Jambai, M, Koroma, AS, Muana, AT, Hann, K, Eaton, J, Martin, S and Nellums, LB (2016) Psychosocial effects of an Ebola outbreak at individual, community and international levels. Bulletin of the World Health Organization 94, 210.CrossRefGoogle ScholarPubMed
Verma, R, Balhara, YPS and Gupta, CS (2011) Gender differences in stress response: role of developmental and biological determinants. Industrial Psychiatry Journal 20, 4.Google ScholarPubMed
Weissman, MM, Bland, RC, Canino, GJ, Faravelli, C, Greenwald, S, Hwu, H-G, Joyce, PR, Karam, EG, Lee, C-K and Lellouch, J (1996) Cross-national epidemiology of major depression and bipolar disorder. JAMA 276, 293299.CrossRefGoogle ScholarPubMed
WHO (2017) Evidence profile: depressive symptoms [Online]. Available at https://www.who.int/ageing/health-systems/icope/evidence-centre/ICOPE-evidence-profile-depressive.pdf?ua=1 (Accessed 23 March 2021).Google Scholar
WHO (2018) Bangladesh: Rohingya refugee crisis 2017–2018 [Online]. Available at http://www.searo.who.int/mediacentre/emergencies/bangladesh-myanmar/public-healthsituation-analysis-may-2018.pdf (Accessed).Google Scholar
WHO (2020 a) WHO coronavirus disease (COVID-19) dashboard [Online]. Available at https://covid19.who.int/ (Accessed 07 December 2020).Google Scholar
WHO (2020 b) The World Health Report 2001: mental disorders affect one in four people [Online]. Available at https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people (Accessed 03 November 2020).Google Scholar
Wu, B (2020) Social isolation and loneliness among older adults in the context of COVID-19: a global challenge. Global Health Research and Policy 5, 13.CrossRefGoogle ScholarPubMed
Yadav, UN, Thapa, TB, Mistry, SK, Pokhrel, R and Harris, MF (2020) Socio-demographic characteristics, lifestyle factors, multi-morbid conditions and depressive symptoms among Nepalese older adults. BMC Psychiatry 20, 19.CrossRefGoogle ScholarPubMed
Yesavage, JA, Brink, TL, Rose, TL, Lum, O, Huang, V, Adey, M and Leirer, VO (1982) Development and validation of a geriatric depression screening scale: a preliminary report. Journal of Psychiatric Research 17, 3749.CrossRefGoogle ScholarPubMed
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)