Skip to main content

Exploring fear of COVID-19 and its correlates among older adults in Bangladesh



This study was aimed to assess the perceived fear of COVID-19 and its associated factors among older adults in Bangladesh.


This cross-sectional study was conducted in October 2020 among 1032 older Bangladeshi adults aged ≥60 years. A semi-structured questionnaire was used to collect information on participants’ characteristics and COVID-19 related information. Perceived fear of COVID-19 was measured using the seven-item Fear of COVID-19 Scale (FCV-19S), where the cumulative score ranged from 7 to 35. Multiple linear regression was performed to identify factors associated with perceived fear of COVID-19.


The mean fear score was 19.4. Participants who were concerned about COVID-19 (β: 2.75, 95% CI: 1.71 to 3.78) and overwhelmed by COVID-19 (β: 3.31, 95% CI: 2.33 to 4.29) were significantly more likely to be fearful of COVID-19. Moreover, older adults who felt themselves isolated from others and whose close friends and family members were diagnosed with COVID-19 were more fearful. However, the participants who received COVID-19 related information from the health workers had a lower level of fear (β: -1.90, 95% CI: − 3.06 to − 0.73).


The presence of overwhelming fear of COVID-19 among the older adults of Bangladesh underlines the psychological needs of these vulnerable groups. Health workers have a key role in addressing these needs and further research is needed to identify the effective strategies for them to use.


The emergence of COVID-19 has resulted an unprecedented disruption in both physical and mental health among the global citizens [1, 2]. Although many people have been impacted by the debilitating effects of COVID-19, certain groups, such as the older adults are more vulnerable than others and are at increased risk of severe morbidity and mortality due to the presence of comorbidities [3].

The recent evidence suggest that, the mortality rate from COVID-19 was 15% among older adults aged 80 years or above compared to only 0.2% among younger people aged less than 20 years and 74% of the total COVID-19 deaths occurred among those who were aged 65 years and above [4]. Serious emotional disturbances, insecurity, anxiety and depression are more common among old-aged people in association with social isolation, fear of uncertainty, and economic difficulties.

Previous outbreaks have been documented to be associated with a rise in mental illness among affected populations. For example, during the H1N1 influenza virus outbreak in 2009 in the United Kingdom (UK), there was a 10–30% increment in level of anxiety among the population [5]. Similarly, the SARS (severe acute respiratory syndrome) epidemic was also associated with increased depression, anxiety and psychiatric morbidities among the population [6]. The Ebola outbreak in Liberia, Guinea, and Sierra Leone during 2013–2016 impacted on the psychosocial wellbeing of people in affected areas [7]. It is, thus, not surprising that the COVID-19 pandemic has been associated with an increase in serious mental health issues such as anxiety, stress, insomnia, fear, anger and depressive symptoms in older adults [8].

Fear has been one of the most frequent emotions associated with the COVID-19 pandemic [9]. Uncertainty, worry, health anxiety, media exposure, personal health and the risk for loved ones are the predictors of fear for this disease [10]. Fear can affect older peoples’ mood or behavior and worsen their physical, social and cognitive functions [11, 12].

Similar to many other countries [13], the population of Bangladesh is rapidly ageing. Recent data suggest that there is more than 3.2 million people aged 60 years or above, comprising 7.7% of the total population in Bangladesh are aged 60 years and above which is projected to increase three-fold to 21.9% by 2050 [14].

Bangladeshi older adults are at increased risk of developing fear of COVID-19 for several reasons. Firstly, Bangladesh is one of the top countries in terms of the number of confirmed cases of COVID-19. As of 2nd January 2021, there were over 514 thousand reported COVID-19 confirmed cases and 7576 COVID-19 deaths in Bangladesh [15]. Secondly, older adults are at increased risk of severe illness and mortality due to COVID-19 than younger age groups [16]. Moreover, the prevalence of non-communicable chronic conditions i.e., hypertension, obesity, diabetes, cardiovascular disease, and chronic lung disease, are high among Bangladeshi older adults which increases their risk of severe health outcomes [17].

While it is presumed that COVID-19 might have created significant fear among the older adults, there is no data on perceived fear resulting from the ongoing COVID-19 pandemic in Bangladesh. Hence, the objective of this study was to explore the perceived fear of COVID-19 and associated factors among older Bangladeshi adults.


Study design and participants

Because of the contagious nature of the coronavirus and risk of spreading the virus through face-to-face contact, this cross-sectional study was carried out remotely through telephone interviews.

The study was conducted by Aureolin Research, Consultancy and Expertise Development (ARCED) Foundation in October 2020. We used our pre-established registry, developed through merging the contact information of households from different research projects accomplished by ARCED Foundation, which included households from all eight administrative divisions of Bangladesh, as a sampling frame.

We estimated sample size based on an unknown prevalence of fear (therefore considering 50% prevalence) with a 5% margin of error to be tolerated at the 95% level of confidence, 90% power of the test, and 95% response rate. On this basis, a total sample size of 1096 was required [18, 19]. However, a total of 1032 older adults aged 60 years and above agreed to participate in the study, resulting a response rate of approximately 94%.

We adopted a probability proportionate to number of older adults in each division to ensure representation from eight administrative divisions of Bangladesh [20]. The inclusion criterion was the minimum age of 60 years, and people with adverse mental conditions (clinically proved schizophrenia, bipolar mood disorder, dementia/cognitive impairment), a hearing disability, or inability to communicate were excluded.


Outcome measure

COVID-19 related fear was the primary outcome, which was measured using the seven-item Fear of COVID-19 Scale (FCV-19S) developed and validated by Ahorsu et al. among the general Iranian population [21]. Participants’ agreement/disagreement with the seven items was assessed using a five-point Likert-scale (ranging from 1 = “strongly disagree,” 3= “neither agree nor disagree,” and 5 = “strongly agree”). Hence, the cumulative score ranged from 7 to 35, where the higher the scores, the greater the fear of COVID-19. Reliability or the internal consistency of the scale among the older adults was acceptable (Cronbach’s α = 0.89).

Explanatory variables

Explanatory variables considered in this study were age in year (categorized as 60–69, 70–79, and ≥ 80), sex (male/female), marital status (married/widowed), literacy (Illiterate/literate), family size (≤4/> 4), family income in Bangladeshi Taka (BDT) (< 5000, 5000-10,000, > 10,000), residence (urban/rural), current occupation (currently employed/unemployed and retired), living arrangements (living alone or with family), walking time to the nearest health center (< 30 min/≥30 min), memory or concentration problems (no problem/low memory or concentration), presence of pre-existing non-communicable chronic conditions (yes/no), 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), difficulty in earning during COVID-19 (no/yes), perceived isolation (hardly, sometimes/often), frequency of communication with friends and family during COVID-19 (less than previous/same as previous), receiving any financial support (government or non-government) during COVID-19, and source of COVID-19 related information (TV/Radio, health workers, and friends/family/neighbors).

Self-reported information on non-communicable chronic conditions, such as arthritis, hypertension, heart diseases, stroke, hypercholesterolemia, diabetes, chronic respiratory diseases, chronic kidney disease, and cancer were collected.

Data collection tools and techniques

A pre-tested semi structured questionnaire in Bengali language was used to collect the information through telephone interview. The information was noted in SurveyCTO mobile app ( by 10 research assistants, recruited based on previous experience of administering health survey in electronic platform. The research assistants were trained extensively for 3 days before the data collection by SKM, AMI and UNY through Zoom meeting.

The English version of the questionnaire was first translated to Bengali language and then back translated to English by two researchers to ensure its consistency. The questionnaire was then piloted among a small sample (n = 10) of older adults to refine the language of the questions in the final version. The questions used in the pilot stage did not require any corrections.

Statistical analysis

The distribution of the variables was assessed using descriptive statistics. Independent t-tests and ANOVA evaluated the mean differences in the FCV-19S score by participants’ characteristics. A multiple linear regression model was performed to outline the factors associated with fear where backward elimination criteria with Akaike information criterion (AIC) was employed to select the final model. Adjusted beta-coefficient (β) and 95% confidence interval (95% CI) are reported for regression analysis. All analyses were performed using the statistical software package Stata (Version 14.0).


Participants’ characteristics

As shown in Table 1, of the total 1032 participants, the majority were aged 60–69 years (77.8%), male (65.5%), married (81.4%), and had large families with more than 4 members (69.2%). Most of the participants were illiterate (58.3%), unemployed (59.4%), resided more than 30 min of walking distance from the nearest heath center (50.8%) and in rural areas (73.9%). Nearly half of the participants (46.1%) had a monthly family income of < 10,000 Bangladeshi Taka (BDT). Majority of the participants had pre-existing non-communicable chronic conditions (64%) and reported experiencing financial hardships during COVID-19 (62.7%) (Table 1).

Table 1 Participant characteristics and bivariate analysis (N = 1032)

Fear of COVID-19 among the participants

The mean score of the FCV-19S was 19.4 ± 6.1 among the participants. Mean differences in fear score of COVID-19 were noted by sex, family income, walking distance to the nearest health center, having problem in memory or concentration, non-communicable chronic conditions in Table 1. Participants’ reported agreement on the seven items of FCV-19S as shown in Fig. 1.

Fig. 1

Participants agreement on the seven items of the COVID-19 fear scale

Factors associated with the fear of COVID-19

Expressing concern about COVID-19, feeling overwhelmed by COVID-19 or experiencing difficulty in getting food or medicines, earning income and receiving routine medical care during the COVID-19 were all significantly associated with fear in the bivariate analysis. Feeling isolated, having a close friend or family member suffering from COVID-19, receiving any financial support during COVID-19, and receiving the information related to COVID-19 were also significantly associated with fear.

Socio-demographic, lifestyle and COVID-19 characteristics of the participants that are deemed to be associated with fear of COVID-19 (Table 1) were included in the full Regression model. The final model was selected based on the lowest AIC and is shown in Table 2. In the adjusted regression model, occupation, living arrangement, dependence on family for living, concern about COVID-19, overwhelmed by COVID-19, difficulty in earning during COVID-19, difficulty in getting medicine during COVID-19, feeling of isolated, close friend and family members suffering from COVID-19 and receiving COVID-19 related information for health workers were significantly associated with fear score (FCV-19S).

Table 2 Factors associated with fear among the participants (N = 1032)

Fear scores were 0.88 units higher among participants who were currently unemployed (β: 0.88, 95% CI: 0.02 to 1.74), and 2.01 units higher who were living alone (β: 2.01, 95% CI: 0.67 to 3.35). Similarly, the fear scores were 2.75 units higher among those who were concerned about COVID-19 (β: 2.75, 95% CI: 1.71 to 3.78), 3.31 units higher who were overwhelmed by COVID-19 (β: 3.31, 95% CI: 2.33 to 4.29), 1.04 units higher who faced difficulty in earning during COVID-19 (β: 1.04, 95% CI: 0.21 to 1.88), and 2.16 units higher among those who had difficulty getting medicine during COVID-19 (β: 2.16, 95% CI: 1.29 to 3.03). The fear scores were 1.44 units higher among the participants whose close friend or family members were diagnosed with COVID-19 (β: 1.44, 95% CI: 0.10 to 2.79) and 0.90 units higher among those who felt isolated during COVID-19 (β: 0.90, 95% CI: 0.12 to 1.68). On the other hand, the fear score was 1.90 units lower among those who were receiving COVID-19 related information from the health workers (β: -1.90, 95% CI: − 3.06 to − 0.73).


The present study assessed the perceived fear of COVID-19 and its associates among Bangladeshi older adults. The findings of the study indicate that the COVID-19 pandemic created significant fear among the older population with a mean fear score of 19.4 on a seven-item fear scale (fear score ranged between 7 and 35). We also found a variation in participants’ agreement on the seven items of the COVID-19 fear scale, which might have resulted from different levels of perceived emotional responses to the phenomenology of the pandemic, such as cease and desist warnings, unending uncertainty, and concern over physiological symptoms [22, 23].

While there is scarcity of evidence on the level of COVID-19 related fear among older adults in Bangladesh, studies from other countries noted that COVID-19 has been associated with marked deterioration in the mental health of older adults due to anxiety about the lethality of COVID-19 [24, 25]. Our finding is also in line with some recent publications from Bangladesh that have reported COVID-19 related fear, psychosocial effects, and uncertainty among different groups of people [26,27,28,29,30].

Rapid spread of COVID-19 has seriously affected the mental health of the older people worldwide [24, 31]. Mental health problems have spiked among the older population mostly due to isolation and loneliness resulting from measures to control the spread of COVID-19 [32]. This suggests that we should pay more attention to the care and psychological support needs of the older population during this pandemic [33, 34].

The present study also highlighted the factors associates with COVID-19 related fear among the Bangladeshi older adults. We found that older adults who were currently unemployed or retired were significantly more likely to be fearful of COVID-19. This is probably because unemployed and retired person were less able to communicate with others as they did before the pandemic due to the lockdown and forced isolation during this pandemic. This may contribute to feelings of loneliness and isolation among them [35, 36]. We also found that the participants who had financial difficulty during this pandemic were more fearful of it. During the lockdown due to the COVID-19, many income earning members of the family lost their jobs in Bangladesh, particularly among the garments worker [37]. Also, crops and vegetables were not harvested in time or could not be transported to markets in time which caused food shortages and price increases [38]. Peoples earning are reducing day by day due to the disease outbreak on one side, on the other hand, the price of the foods are increasing, resulting in increasing fear among the participants.

Our study also found that older adults who were feeling isolated during this COVID-19 and those who were living alone had higher fear scores. Moreover, the participants who were concerned about the effect of the COVID-19 and were overwhelmed by it were more fearful than those who were indifferent to it. This is anticipated as fear of COVID-19 triggers psychological distress [39]. When the older adults know that they are more vulnerable to death and disability due to COVID-19 than their younger counterparts and that the treatments for COVID-19 are quite limited, they can become fearful of being infected with it [40, 41].

The present study also found that the older adults who face difficulties in getting medicine during this pandemic were more fearful. This is verified in a recently published evidence which documented that older adults from Low- and Middle- Income Countries faced various challenges including access to medicine and routine medical care amid this COVID-19 pandemic [42]. As in many other countries, during lockdown and isolation many people from Bangladesh faced problems accessing their daily essentials [43, 44]. For the older adults, medicines are essential especially as they often suffer from different comorbidities and in cases multiple morbidities [45]. The unavailability of required medicines can have serious impact on their mental health resulting fear.

Fear levels were high among the participants whose close friends and family members were diagnosed with COVID-19. This is expected especially among those older adults who suffered from pre-existing mental illness [46] and those whose friends or contacts were hospitalized with COVID-19.

Interestingly we found that the fear scores were significantly lower among the participants who received COVID-19 related information from health workers. This is probably because the health workers are trusted among older community members and provide information in a sympathetic manner [47].

Strengths and limitations of the study

To the best of our knowledge, this is the first nationwide study covering all the eight administrative divisions of the country with high response rate and providing an insight into fear among Bangladeshi older adults amid this COVID-19 pandemic. However, our study has some limitations. As we prepared our sampling frame based on the available household-level information in our data repository; thus, selection bias is possible. Second, while we used FCV-19S as an instrument to measure fear among older adults, the efficacy of this instrument has not been tested and validated in Bangladeshi context. Finally, a mixed method study could have had better insights into the associated factors of fear.


Mental health is one of the major issues among older adults which has been neglected in Bangladesh. Fear can be disabling during an unprecedented pandemic and may adversely affect their mental wellbeing. In the present study we also found that many older adults were fearful of COVID-19 and this was more likely in those with other social vulnerabilities such as low income, unemployment, or social isolation and who had difficulty accessing medications and health care. Health workers can be effective in providing information and psychosocial support to older adults as they are trusted members of the community.

The findings of the present research are also important for other countries where older adults face social and economic vulnerabilities, are subjected to social isolation during this pandemic and have to access to routine health services through a fragile health system. As the present research identified that socially and economically vulnerable older adults were more prone to be fearful of COVID-19, future work should focus on exploring strategies to minimize the socio-economic vulnerabilities among them. Providing statutory and informal economic support and strengthening community engagement to promote mental wellbeing among older adults can be of value in this regard.

Availability of data and materials

The data is available upon reasonable request from the corresponding author.


  1. 1.

    Rohrer M, Flahault A, Stoffel M. Peaks of fine particulate matter may modulate the spreading and virulence of COVID-19. Earth Syst Environ. 2020;4:1–8.

  2. 2.

    Giuntella O, Hyde K, Saccardo S, Sadoff S. Lifestyle and mental health disruptions during Covid-19. Proc Natl Acad Sci. 2021;118(9):1-9.

  3. 3.

    CDC Covid- Response Team. Severe outcomes among patients with coronavirus disease 2019 (COVID-19) - United States, February 12-March 16, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(12):343–6.

    Article  Google Scholar 

  4. 4.

    Worldometer: Age, sex, existing conditions of COVID-19 cases and deaths. 2020.

    Google Scholar 

  5. 5.

    Rubin GJ, Potts HWW, Michie S. 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 Technol Assess. 2010;14(34):183–266.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Sim K, Chan YH, Chong PN, Chua HC, Soon SW. Psychosocial and coping responses within the community health care setting towards a national outbreak of an infectious disease. J Psychosom Res. 2010;68(2):195–202.

    Article  PubMed  Google Scholar 

  7. 7.

    Van Bortel T, Basnayake A, Wurie F, Jambai M, Koroma AS, Muana AT, et al. Psychosocial effects of an Ebola outbreak at individual, community and international levels. Bull World Health Organ. 2016;94(3):210–4.

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Torales J, O’Higgins M, Castaldelli-Maia JM, Ventriglio A. The outbreak of COVID-19 coronavirus and its impact on global mental health. Int J Soc Psychiatry. 2020;66(4):0020764020915212.

  9. 9.

    Rahman MA, Hoque N, Alif SM, Salehin M, Islam SMS, Banik B, et al. Factors associated with psychological distress, fear and coping strategies during the COVID-19 pandemic in Australia. Glob Health. 2020;16(1):1–15.

    Article  Google Scholar 

  10. 10.

    Mertens G, Gerritsen L, Duijndam S, Salemink E, Engelhard IM. Fear of the coronavirus (COVID-19): predictors in an online study conducted in March 2020. J Anxiety Disord. 2020;74:102258.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Steimer T. The biology of fear- and anxiety-related behaviors. Dialogues Clin Neurosci. 2002;4(3):231–49.

    Article  Google Scholar 

  12. 12.

    Deshpande N, Metter EJ, Lauretani F, Bandinelli S, Ferrucci L. Interpreting fear of falling in the elderly: what do we need to consider? J Geriatr Phys Ther. 2009;32(3):91–6.

    Article  Google Scholar 

  13. 13.

    Countries with the oldest populations in the world []. Accessed 29 Mar 2021.

  14. 14.

    BBS. Elderly population in Bangladesh: current features and future perspectives. 2015.

    Google Scholar 

  15. 15.

    WHO coronavirus disease (COVID-19) dashboard []. Accessed 02 Jan 2021.

  16. 16.

    Xiang Y-T, Yang Y, Li W, Zhang L, Zhang Q, Cheung T, et al. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. Lancet Psychiatry. 2020;7(3):228–9.

    Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Taskin T, Biswas T, Siddiquee AT, Islam A, Alam D. Chronic non-communicable diseases among the elderly in Bangladesh old age homes. Int J Aging Soc. 2014;3(4):67–75.

    Article  Google Scholar 

  18. 18.

    Agresti A. An introduction to categorical data analysis. Wiley; 2018.

  19. 19.

    StataCorp LP. Stata power and sample-size reference manual, vol. 12: A Stata Press Publication StataCorp LP; 2013. p. 2018.

  20. 20.

    BBS. Elderly population in Bangladesh: current features and future perspectives: Banglaedsh Bureau of Statistics, Ministry of Bangladesh, Government of Bangladesh; 2015.

  21. 21.

    Ahorsu DK, Lin CY, Imani V, Saffari M, Griffiths MD, Pakpour AH. The fear of COVID-19 scale: development and initial validation. Int J Ment Heal Addict. 2020:1–9. Epub ahead of print.

  22. 22.

    Arora A, Jha AK, Alat P, Das SS. Understanding coronaphobia. Asian J Psychiatr. 2020;54:102384.

  23. 23.

    Qc IF. COVID-19: fear, quackery, false representations and the law. Int J Law Psychiatry. 2020;72:101611.

    Article  Google Scholar 

  24. 24.

    Banerjee D. The impact of Covid-19 pandemic on elderly mental health. Int J Geriatr Psychiatry. 2020;35(12):1466–7.

    Article  PubMed  Google Scholar 

  25. 25.

    Wu B. Social isolation and loneliness among older adults in the context of COVID-19: a global challenge. Glob Health Res Policy. 2020;5(1):27.

    Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Hossain MA, Jahid MIK, Hossain KMA, Walton LM, Uddin Z, Haque MO, et al. Knowledge, attitudes, and fear of COVID-19 during the rapid rise period in Bangladesh. PLoS One. 2020;15(9):e0239646.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Bodrud-Doza M, Shammi M, Bahlman L, Islam ARMT, Rahman MM. Psychosocial and socio-economic crisis in Bangladesh due to COVID-19 pandemic: a perception-based assessment. Front Public Health. 2020;8:341.

    Article  Google Scholar 

  28. 28.

    Islam MS, Ferdous MZ, Potenza MN. Panic and generalized anxiety during the COVID-19 pandemic among Bangladeshi people: an online pilot survey early in the outbreak. J Affect Disord. 2020;276:30–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Mahmud MS, Talukder MU, Rahman SM. Does ‘fear of COVID-19’ trigger future career anxiety? An empirical investigation considering depression from COVID-19 as a mediator. Int J Soc Psychiatry. 2020;2020(0):0020764020935488.

    Google Scholar 

  30. 30.

    Khan AH, Sultana MS, Hossain S, Hasan MT, Ahmed HU, Sikder MT. The impact of COVID-19 pandemic on mental health & wellbeing among home-quarantined Bangladeshi students: a cross-sectional pilot study. J Affect Disord. 2020;277:121–8.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Vahia IV, Jeste DV, Reynolds CF. Older adults and the mental health effects of COVID-19. JAMA. 2020;324(22):2253–4.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Vahia IV, Blazer DG, Smith GS, Karp JF, Steffens DC, Forester BP, et al. COVID-19, mental health and aging: a need for new knowledge to bridge science and service. Am J Geriatr Psychiatry. 2020;28(7):695–7.

    Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Meng H, Xu Y, Dai J, Zhang Y, Liu B, Yang H. Analyze the psychological impact of COVID-19 among the elderly population in China and make corresponding suggestions. Psychiatry Res. 2020;289:112983.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Mukhtar S. Psychosocial impact of COVID-19 on older adults: a cultural geriatric mental health-care perspectived. J Gerontol Soc Work. 2020;63:1–3.

    Article  Google Scholar 

  35. 35.

    Robb CE, de Jager CA, Ahmadi-Abhari S, Giannakopoulou P, Udeh-Momoh C, McKeand J, et al. Associations of social isolation with anxiety and depression during the early COVID-19 pandemic: a survey of older adults in London, UK. Front Psychiatry. 2020;11:1-12.

  36. 36.

    Pietrabissa G, Simpson SG. Psychological consequences of social isolation during COVID-19 outbreak. Front Psychol. 2020;11:2201.

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Covid-19, job cuts and misery for Bangladesh’s garment workers []. Accessed 16 Dec 2020.

  38. 38.

    In Bangladesh COVID-19 puts farmers and food systems in dire straights []. Accessed 16 Dec 2020.

  39. 39.

    Dubey S, Biswas P, Ghosh R, Chatterjee S, Dubey MJ, Chatterjee S, et al. Psychosocial impact of COVID-19. Diab Metab Syndr. 2020;14(5):779–88.

    Article  Google Scholar 

  40. 40.

    Powell T, Bellin E, Ehrlich AR. Older adults and Covid-19: the most vulnerable, the hardest hit. Hast Cent Rep. 2020;50(3):61–3.

    Article  Google Scholar 

  41. 41.

    Parlapani E, Holeva V, Nikopoulou VA, Sereslis K, Athanasiadou M, Godosidis A, et al. Intolerance of uncertainty and loneliness in older adults during the COVID-19 pandemic. Front Psychiatry. 2020;11:842.

    Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Yadav UN, Rayamajhee B, Mistry SK, Parsekar SS, Mishra SK. A syndemic perspective on the management of non-communicable diseases amid the COVID-19 pandemic in low-and middle-income countries. Front Public Health. 2020;8:508.

    Article  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Shammi M, Bodrud-Doza M, Islam ARMT, Rahman MM. Strategic assessment of COVID-19 pandemic in Bangladesh: comparative lockdown scenario analysis, public perception, and management for sustainability. Environ Dev Sustain. 2020:1–44. Epub ahead of print

  44. 44.

    Islam SMD-U, Bodrud-Doza M, Khan RM, Haque MA, Mamun MA. Exploring COVID-19 stress and its factors in Bangladesh: a perception-based study. Heliyon. 2020;6(7):e04399.

    Article  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Sara HH, Chowdhury MAB, Haque MA. Multimorbidity among elderly in Bangladesh. Aging Med. 2018;1(3):267–75.

    Article  Google Scholar 

  46. 46.

    Rahman MS, Rahman MA, Ali M, Rahman MS, Maniruzzaman M, Yeasmin MA, et al. Determinants of depressive symptoms among older people in Bangladesh. J Affect Disord. 2020;264:157–62.

    Article  PubMed  Google Scholar 

  47. 47.

    Bangladesh should use its community health workers to respond to the Covid-19 pandemic []. Accessed 16 Dec 2020.

Download references


We acknowledge the role of Md. Zahirul Islam, Program Associate, ARCED Foundation and Shakil Al Mamun, Senior Officer, Data Management, ARCED Foundation for their all-out support in data collection for the study.


This research was not funded.

Author information




Sabuj Kanti Mistry: Conceptualization, Methodology, Software, Formal Analysis, Data curation, Writing - Original Draft; ARM Mehrab Ali: Project administration, Supervision, Writing- Original Draft; Farhana Akther: Writing - Original Draft; Uday Narayan Yadav: Writing - Original Draft; Mark F Harris: Writing- Reviewing and Editing. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Sabuj Kanti Mistry.

Ethics declarations

Ethics approval and consent to participate

The study protocol was approved by the institutional review board of Institute of Health Economics, University of Dhaka, Bangladesh (Ref: IHE/2020/1037). Verbal informed consent was sought from the participants before administering the survey. Participation was voluntary, and participants did not receive any compensation.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interest to disclose.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Mistry, S.K., Ali, A.R.M.M., Akther, F. et al. Exploring fear of COVID-19 and its correlates among older adults in Bangladesh. Global Health 17, 47 (2021).

Download citation


  • Fear
  • COVID-19
  • Older adults
  • FCV-19S
  • Bangladesh