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Relationship between resilience and death anxiety of the older adults during the coronavirus disease 2019 (COVID-19) pandemic

BMC Geriatrics volume 23, Article number: 367 (2023) Cite this article

Abstract

Background

The outbreak of coronavirus disease 2019 (COVID-19) caused an increase in the incidence of physical and psychological problems, particularly in the older adult. Considering the special physical and mental health conditions of the older adult, they were more exposed to psychological problems associated with the pandemic, such as death anxiety. Therefore, assessing the psychological status of this group is necessary in order to implement appropriate interventions. The present study aimed to investigate the relationship between resilience and death anxiety in the older adult during the COVID-19 pandemic.

Methods

This descriptive-analytical study was conducted on 283 older adult people over the age of 60 years. The older adult population was selected from 11 municipal districts of Shiraz, Iran, using the cluster sampling method. The resilience and death anxiety scales were used for data collection. Data analysis was performed in SPSS version 22, using Chi-square test, t-test, and Pearson’s correlation coefficient test. A P-value less than 0.05 was considered statistically significant.

Results

The mean and standard deviation of the older adult’s resilience and death anxiety scores were 64.16 ± 9.59 and 6.3 ± 2.95, respectively. There was a significant correlation between resilience and death anxiety scores (P < 0.01, r=-0.290). Also, sex (P = 0.00) and employment status (P = 0.00) were significantly associated with the older adult’s resilience. Besides, sex (P = 0.010) and employment status (P = 0.004) were significantly related to death anxiety.

Conclusions

Our findings showcase levels of resilience and death anxiety in older adults during the covid-19 pandemic and suggest that resilience and death anxiety are inversely linked. This has implications on policy planning for future major health events.

Peer Review reports

Background

The coronavirus disease 2019 (COVID-19) pandemic has caused an increase in the prevalence of mental health problems, such as anxiety, depression, antisocial behaviors, and irritability around the world [1,2,3,4]. The psychological problems of individuals during the COVID-19 pandemic were mainly caused by the pandemic itself rather than COVID-19-related deaths [5]. The older adult population, as a vulnerable group, was exposed to serious harms and risks, including psychological problems, because of adverse physical and psychological conditions during this period [6, 7].

Death anxiety, as one of the common psychological problems, is defined as fear and anxiety caused by thoughts of one’s own death or relatives’ death and is characterized by negative feelings, such as distress, anxiety, worry, and fear of death [8]. Persistence and severity of death anxiety can cause adverse health outcomes, such as physical problems, low resilience, and other mental health issues, including depression, generalized anxiety, phobia, panic, and suicidal ideation [9,10,11,12]. Based on terror management theory (TMT) awareness of death caused fear and anxiety and individuals use of a wide ranges of defense mechanisms against it [13].

The COVID-19 pandemic caused fear and anxiety in the older adults [14] and exposed them to death anxiety more than other age groups over a long period [15]. Owing to a decline in the immune system function of the older adult, they show poor immune responses to diseases and infections. Besides, since underlying diseases are more prevalent in the older adult compared to other age groups, their susceptibility to COVID-19 infection and death is higher [16]. The risk of infection and death due to COVID-19 is three times higher in the older adult than the youth [17]. Because of the high transmissibility rate of this virus, home quarantine is the first and most effective strategy to control its transmission [18].

Considering the special physical conditions of the older adult compared to other age groups, they were more susceptible to COVID-19; consequently, home quarantine and social isolation were even stricter in this group [19]. During the pandemic, home quarantine and reduced social interactions led to reduced physical activities and social relations in the older adult and threatened their mental health [20]. All the mentioned factors caused a significant increase in the prevalence of psychological disorders, such as death anxiety, among the older adult during the COVID-19 pandemic compared to normal conditions [21]. Thus, Older adults are vulnerable and must be protected [22].

Resilience is adaptability or psychological adaptation. It can be defined as a dynamic process, capacities, and outcomes of individual development in specific populations, situations, and risks [23]. Resilience can be effective in promoting mental health and managing psychological problems in adverse conditions [24]. High resilience is associated with a decline in psychological problems, such as depression, anxiety, and obsession [25]. Overall, resilience is a compatible construct that enables individuals to show flexibility in times of adversity [26]. An individual with adequate resilience does not suppress his/her feelings, but manages them in the best way possible under stressful conditions and actively attempts to find an effective solution [27]. Evidence suggests that resilience is linked to death anxiety and life expectancy [28], optimism and distress [29], anxiety [30, 31], worry about contracting COVID-19 [32], and depression [33]. Also, it has been found that tolerance based teaching to the older adult reduce their anxiety and increase their life expectancy [34]. Previous studies showed that the relation of resilience with health behavior was mediated by problem –focused coping [35] and stress in relation with risk of contracting COVID-19 [36].

Since the older adult people constitute a large proportion of the world’s total population, and death anxiety is one of the critical challenges of this population during the COVID-19 pandemic, it is essential to conduct relevant studies and identify influential factors in the management of mental disorders in these individuals. On the other hand, considering the limited number of relevant studies according to our literature review, the current research aimed to investigate the relationship between resilience and death anxiety in the older adult during the COVID-19 pandemic.

Methods

Design

This descriptive-analytical study was conducted between July and September 2022. The study setting included the health centers of Shiraz (Iran). Seven out of 11 municipal districts of Shiraz were selected via cluster sampling; the study population consisted of all the older adult presenting to these health centers.

Sample size

Given the absence of similar research during the COVID-19 pandemic, a sample size of 258 people was measured with an effect size of 0.2. Considering an attrition rate of 10%, the sample size was increased, and the final sample size was measured to be 283 people.

Participants

The participants were selected from the older adult population, presenting to health centers, via convenience sampling. The inclusion criteria were as follows: not taking anti-anxiety and anti-depression drugs, no diagnosis of cancer or other incurable diseases; no experience of death in first-degree relatives due to COVID-19; and no experience of a serious adverse event in the last six months. On the other hand, individuals who delivered incomplete questionnaires were excluded from the study.

Data collections

In this study, data were collected using three questionnaires. The older adult demographic questionnaire included the participants’ age, sex, marital status, education level, and occupation. The second questionnaire was the Connor-Davidson Resilience Scale (CD-RISC). This questionnaire consists of 25 items, designed by Connor and Davidson in 2003. The scoring of this questionnaire is based on a Likert scale (completely false, 0; rarely true, 1; sometimes true, 2; often true, 3; and always true, 4). The minimum and maximum scores are zero and 100, respectively, and the cutoff point is 50. In other words, a score above 50 represents resilience in an individual, with higher scores (> 50) reflecting greater resilience, and vice versa. Connor and Davidson measured a Cronbach’s alpha coefficient of 0.89 for the CD-RISC. Also, the reliability coefficient, based on the test-retest method in a four-week interval, was estimated at 0.87 [37]. This scale has been validated in various studies [38, 39].

The third questionnaire was Templer’s Death Anxiety Scale (DAS). This scale, which was designed by Templer in 1970, consists of 15 items and five dimensions on the individual’s attitude toward death. It is scored from zero (“no death anxiety”) to 15 (“very high death anxiety”), with the midpoint set at 6–7 (cutoff point); a score higher than the cutoff point (7–15) represents high death anxiety, whereas a score lower than the cutoff point (0–6) denotes low death anxiety. For scoring, each true response is assigned one point, while each false response is assigned a score of zero; scoring is reversed for items 10, 11, 12, 13, 14, and 15 (true = 0, false = 1). The DAS scale has acceptable validity, and its Cronbach’s alpha coefficient is estimated at 0.83 [40]. Using the Kuder-Richardson formula, Templer reported the reliability of this scale to be 0.83 [41]. Besides, concurrent validity coefficients for its correlation with the manifest anxiety and depression scales were 0.27 and 0.40, respectively [42]. This scale has been validated in various studies [42,43,44].

Data analysis

The collected data were analyzed in SPSS Version 22. Descriptive statistics, such as frequency, percentage, mean, and standard deviation (SD), were used to assess the demographic characteristics, as well as the questionnaire scores and dimensions. Also, t-test, analysis of variance (ANOVA), and Pearson’s correlation tests were used to calculate the mean differences and evaluate the correlation of variables. General linear model were used to quantify relationships and predicting among death anxiety, resilience, and demographic variables. A P-value less than 0.05 was considered statistically significant.

Results

Of 283 older adult people participating in this study, 179 (63.3%) were male, and 104 (36.7%) were female, with a mean age of 67.29 ± 6.22 years. Also, 80.6% of the participants were married, 47.7% had elementary education, and 31.1% had a history of cigarette smoking. The older adult’s mean scores of resilience and death anxiety were 64.16 ± 9.60 and 6.33 ± 2.92, respectively.

According to Table 1, the mean resilience score was significantly associated with the older adult’s sex and employment status (P < 0.05). Male participants had higher score of resilience and lower score of death anxiety than female. The mean score of death anxiety was also significantly related to the older adult’s sex and employment status (P < 0.05). Participants with governmental job had higher score of resilience and unemployed participants had the highest score of death anxiety.

There was no statistically significant difference in term of smoking history, history of alcohol consumption and type of residence with the average score of death anxiety and resilience of the older adults (P < 0.05).

Table 1 The older adult’s mean ( ±  SD) scores of resilience and death anxiety according to their demographic characteristics
Full size table

There was a significant inverse correlation between the older adult’s mean scores of resilience and death anxiety (r=-0.290, P < 0.01); in other words, with an increase in resilience, the older adult’s death anxiety decreased.

In the analysis of the general linear model, the effect of demographic variables on resilience was investigated and the variables that were significant were included in the model, along with death anxiety. After entering these variables, death anxiety and the unemployed job became significant (Table 2).

Table 2 General linear models showing predictor of resilience and death anxiety based on correlated variables
Full size table

Discussion

The results of the present study indicated the older adult’s low mean score of death anxiety. Similarly, a study by Khademi et al. revealed that the level of death anxiety was low in the older adult population [45]. Moreover, a study by Saina et al. in India reported that more than half of the older adult had moderate death anxiety, and a low percentage of them had severe death anxiety [46]; these results are consistent with the findings of the current study. As the prevalence of death anxiety was directly associated with the prevalence of COVID-19 in the investigated population, the lower level of death anxiety in the current research compared to the abovementioned studies can be attributed to the conditions of the present research, including vaccine accessibility, increased knowledge of COVID-19, and improved control and management of this disease in the general population.

In this regard, Rababa et al. found that the older adult’s mean score of death anxiety considerably increased during the COVID-19 pandemic [47]. Azgas et al. also reported that death anxiety was intensified during the COVID-19 pandemic, with the greatest impact observed in women, older adult, and medical staff [48]; however, these results are inconsistent with the current findings. One of the reasons for the discrepancy between the present and previous research can be differences in the study conditions, as well as the increased mortality rate of the older adult in the investigated countries.

Based on the present results, the older adult’s mean score of resilience was high. In this regard, Widzel et al. indicated that more than two-thirds of the older adult had moderate to high resilience, and a limited number of them showed low resilience [49]. In another study by Moradi et al., it was also found that the older adult’s level of resilience was high [50]; these results are consistent with the present study. On the other hand, in a study by Hajatnia et al., the older adult’s level of resilience was reported to be low [51], which is not in line with the present research. Since the mentioned study was conducted on older adult people living in nursing homes, the observed discrepancy between the current and previous research can be attributed to the presence of older adult people with lower resilience in nursing homes.

The results of the present study indicated a significant inverse correlation between resilience and death anxiety in the older adult; in other words, with an increase in the resilience score, the death anxiety score decreased. The results of a study by Paul et al. indicated a significant inverse correlation between death anxiety and resilience in individuals with COVID-19 [52]. Additionally, Haj-Hosseini et al. confirmed a significant inverse relationship between death anxiety and resilience [28], which is in line with the results of the present study. Generally, resilience culminates in the increased coping of an individual with unpleasant situations, as they accept and actively adapt to these circumstances; therefore, resilient individuals experience less psychological distress, such as tension, anxiety, and depression [30]. Conversely, the results of a study by Bahri et al. on patients with AIDS [53] contradict the current findings, which can be related to differences in the sample and design of the study.

In the present study, death anxiety was significantly different between male and female older adult, and the level of death anxiety was higher in women than men. Consistently, a study by Kavakli et al. indicated that death anxiety was higher in women than men during the COVID-19 pandemic [54]. Besides, a study by McLeod et al. showed that death anxiety was higher in females [55]. These results are in line with the present study, which showed that women are more aware of their emotions than men and express their fears more openly [56]. In contrast, Rababa et al. reported that the level of death anxiety was higher in males than females [47]. One of the reasons for this discrepancy can be the higher prevalence of COVID-19 and consequently, higher mortality rates among men over 60 years.

In the current study, the older adult with different occupations experienced different levels of death anxiety. Self-employed individual has high level of death anxiety in contrast with other occupations. Seyed Al-Shohadaee et al. reported similar results [30]. Having a steady job and a certain income creates economic security and as a result caused support for the mental health of the older adult [57]. Also, the findings of the present study indicated that the level of resilience was different between men and women, that is, resilience was higher in men. In this regard, Barkhordari Sharifabad et al. reported similar results [58]. On the contrary, Masoud et al. showed that women had higher resilience scores than men [59]; this difference can be related to different age groups of the investigated populations in the two studies. The current research suggested that the older adult with different occupations had different levels of resilience. Similar findings have been reported in the literature [30, 60]. Seemingly, financial independence and accessible welfare facilities lead to increased peace of mind and resilience. Therefore, the retired older adult people are less anxious, as they have permanent salaries, unlike self-employed older adult; consequently, they have a higher level of resilience [57].

Other important findings of this study include the positive predictive relationships of demographic status and the negative predictive relationship of death anxiety to resilience. These findings are consistent with the results of other studies and show as death anxiety increases, resilience decreases [61, 62].

Using of self-reported questionnaires, conducting of the study in a specific province of Iran, not having enough information about the current health status of the participants, lack of inclusion of all relevant covariates (such as type of medications, diagnosis, subjective health), and fairly small sample size can be considered as the possible limitations of this study.

Conclusion

Overall, older adults had surprisingly high levels of resilience and low levels of death anxiety despite the COVID pandemic. Both death anxiety and resilience levels vary depending on sociodemographic parameters. As death anxiety and resilience seem to be inversely linked, resilience may be a promising protector against death anxiety that should be fostered in older adults.

Data availability

Data are available from the corresponding author on reasonable request.

References

  1. Forlenza OV, Stella F. Impact of SARS-CoV-2 pandemic on mental health in the elderly: perspective from a psychogeriatric clinic at a tertiary hospital in São Paulo, Brazil. International psychogeriatrics. 2020 Oct;32(10):1147–51.

  2. Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, Wu J, Du H, Chen T, Li R, Tan H. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA network open. 2020 Mar 2;3(3):e203976-.

  3. Bo HX, Li W, Yang Y, Wang Y, Zhang Q, Cheung T, Wu X, Xiang YT. Posttraumatic stress symptoms and attitude toward crisis mental health services among clinically stable patients with COVID-19 in China. Psychol Med. 2021 Apr;51(6):1052–3.

  4. Shahyad S, Mohammadi MT. Psychological impacts of Covid-19 outbreak on mental health status of society individuals: a narrative review. J military Med. 2020;22(2):184–92.

    Google Scholar 

  5. Fardin MA. COVID-19 and anxiety: a review of psychological impacts of infectious disease outbreaks. Archives of clinical infectious diseases. 2020 Apr 1;15(COVID-19).

  6. Fotoukian Z, Mohammadi Shahboulaghi F, Fallahi Khoshknab M. Analytical on empowerment interventions in older people with chronic disease: a review literature. J Health Promotion Manage. 2013 Oct;10(4):65–76.

  7. Nguyen L, Murphy K, Andrews G. Cognitive and neural plasticity in old age: A systematic review of evidence from executive functions cognitive training. Ageing research reviews. 2019 Aug 1;53:100912.

  8. Mohammadpour A, Sadeghmoghadam L, Shareinia H, Jahani S, Amiri F. Investigating the role of perception of aging and associated factors in death anxiety among the elderly. Clinical interventions in aging. 2018 Mar 15:405–10.

  9. Karampour S, Fereidooni-Moghadam M, Zarea K, Cheraghian B. The prevalence of death anxiety among patients with breast cancer. BMJ Supportive & Palliative Care. 2018 Mar 1;8(1):61 – 3.

  10. Ghasempour A. Predicting death anxiety on the basis of emotion cognitive regulation strategies. Knowl Res Appl Psychol 2017 Oct 17;13(48):63–70.

  11. Menzies R, Veale D. Free yourself from death anxiety: a CBT self-help guide for a fear of death and dying. Jessica Kingsley Publishers; 2022 Mar. p. 21.

  12. Atadokht A, Rahimi S, Valinejad S. The Role of Health Promoting Lifestyle and Religious Orientation in Predicting Quality of Life and Death Anxiety in Elders. Aging Psychology. 2018 Aug 23;4(2):143 – 54.

  13. Menzies RE, Menzies RG. Death anxiety in the time of COVID-19: theoretical explanations and clinical implications. Cogn Behav Therapist. 2020;13:e19.

    Article  Google Scholar 

  14. Girdhar R, Srivastava V, Sethi S. Managing mental health issues among elderly during COVID-19 pandemic. J geriatric care Res. 2020 Apr;7(1):32–5.

  15. Khademi F, Moayedi S, Golitaleb M. The COVID-19 pandemic and death anxiety in the elderly. Int J Ment Health Nurs. 2021 Feb;30(1):346.

  16. Benksim A, Rachid AI, Cherkaoui M. Vulnerability and fragility expose older adults to the potential dangers of COVID-19 pandemic. Iran J Public Health. 2020 Oct;49(Suppl 1):122.

  17. Team E. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19)—China, 2020. China CDC weekly. 2020 Feb 2;2(8):113.

  18. Brooks SK, Smith LE, Webster RK, Weston D, Woodland L, Hall I, Rubin GJ. The impact of unplanned school closure on children’s social contact: rapid evidence review. Eurosurveillance. 2020 Apr 2;25(13):2000188.

  19. Armitage R, Nellums LB. COVID-19 and the consequences of isolating the elderly. The Lancet Public Health. 2020 May 1;5(5):e256.

  20. Javadi SM, Nateghi N. COVID-19 and its psychological effects on the elderly population. Disaster Med Pub Health Prep. 2020 Jun;14(3):e40–1.

  21. Karimi L, Khalili R, Nir MS. Prevalence of various psychological disorders during the COVID-19 pandemic: systematic review. J Military Med. 2020;22(6):648–62.

    Google Scholar 

  22. Miller EA. Protecting and improving the lives of older adults in the COVID-19 era. J aging social policy 2020 Jul 3;32(4–5):297–309.

  23. Kuldas S, Foody M. Neither resiliency-trait nor resilience-state: Transactional Resiliency/e. Youth & Society. 2022 Nov;54(8):1352-76.

  24. Zhang J, Peng J, Gao P, Huang H, Cao Y, Zheng L, Miao D. Relationship between meaning in life and death anxiety in the elderly: self-esteem as a mediator. BMC Geriatr. 2019 Dec;19:1–8.

  25. Hjemdal O, Vogel PA, Solem S, Hagen K, Stiles TC. The relationship between resilience and levels of anxiety, depression, and obsessive–compulsive symptoms in adolescents. Clin Psychol Psychother. 2011 Jul;18(4):314–21.

  26. Hagh Ranjbar F, Kakavand A, Borjali A, Bermas H. Resiliency and quality of life in mothers of children with intellectual disability. Health Psychol. 2011;1(1):179–89.

    Google Scholar 

  27. Masten AS, Barnes AJ. Resilience in children: developmental perspectives. Child 2018 Jul 17;5(7):98.

  28. Haj Hosseini M, Salim Ahmed Z, Ejei J, Naghsh Z. The mediating role of resilient in relationship between death anxiety and general health in iraqi immigrant adolescents are affected with ISIS war. J Psychol. 2018 Nov;87(3):0.

  29. Baldwin DR, Jackson D III, Okoh I, Cannon RL. Resiliency and optimism: an african american senior citizen’s perspective. J Black Psychol. 2011 Feb;37(1):24–41.

  30. Seyedoshohadaee M, Seraj A, Haghani H. The correlation of resilience and anxiety in the candidate burn patients for skin grafting. Iran J Nurs. 2020 Feb;32(122):69–79.

  31. Li WW, Miller DJ. The impact of coping and resilience on anxiety among older Australians. Australian Journal of Psychology. 2017 Dec 1;69(4):263 – 72.

  32. Yıldırım M, Arslan G, Ahmad Aziz I. Why do people high in COVID-19 worry have more mental health disorders? The roles of resilience and meaning in life. Psychiatria Danubina. 2020;32(3–4):505–12.

    Article  PubMed  Google Scholar 

  33. Philippou A, Sehgal P, Ungaro RC, Wang K, Bagiella E, Dubinsky MC, Keefer L. High levels of psychological resilience are associated with decreased anxiety in inflammatory bowel disease. Inflamm Bowel Dis. 2022 Jun;28(6):888–94.

  34. Ghamari M, Mir A. The effectiveness of teaching tolerance on anxiety of death and life expectancy of aged women residing in nursing homes. Aging Psychol 2018 Feb 20;3(4):253–62.

  35. Krok D, Telka E, Szcześniak M, Falewicz A. Threat Appraisal, Resilience, and Health Behaviors in recovered COVID-19 patients: the serial mediation of coping and meaning-making. Int J Environ Res Public Health. 2023 Feb;18(4):3649.

  36. Krok D, Zarzycka B, Telka E. Risk of contracting COVID-19, personal resources and subjective well-being among healthcare workers: The mediating role of stress and meaning-making. Journal of Clinical Medicine. 2021 Jan 2;10(1):132.

  37. Connor KM, Davidson JR. Development of a new resilience scale: the Connor-Davidson resilience scale (CD‐RISC). Depression and anxiety. 2003 Sep;18(2):76–82.

  38. Ahangarzadeh Rezaei S, Rasoli M. Psychometric properties of the persian version of “conner-davidson resilience scale” in adolesent with cancer. J Urmia Nurs Midwifery Fac. 2015;13(9):739–47.

    Google Scholar 

  39. Rahimpour S, Arefi M, Manshaii GR. The effectiveness of mixed method of Time perspective and Mindfulness Education on Resilience and Wisdom. Positive psychology research. 2021 May 22;7(1):35–52.

  40. Rajabi G, Bahrani M. Factor analysis of death anxiety scale questions. J Psychol. 2002;20(2):344–31.

    Google Scholar 

  41. Templer DI. The construction and validation of a death anxiety scale. The Journal of general psychology. 1970 Apr 1;82(2):165 – 77.

  42. Hajiazizi AH, Bahmani B, Mahdi N, Manzari Tavakoli V, Barshan A. Effectiveness of group logotherapy on death anxiety and life expectancy of the elderly living in boarding houses in Kerman. Iranian Journal of Ageing. 2017 Sep 10;12(2):220 – 31.

  43. Diedrich A, Hofmann SG, Cuijpers P, Berking M. Self-compassion enhances the efficacy of explicit cognitive reappraisal as an emotion regulation strategy in individuals with major depressive disorder. Behaviour research and therapy. 2016 Jul 1;82:1 – 0.

  44. Rajabi GR, Bohrani M. Item factor analysis of the death anxiety scale. J Psychol. 2002;5(4):331–44.

    Google Scholar 

  45. Khedmati N. The relationship between sense of coherence and ego strength with death anxiety in elderly. Rooyesh-e-Ravanshenasi Journal (RRJ). 2020 May 10;9(3):51 – 8.

  46. Saini P, Patidar AB, Kaur R, Kaur M, Kaur J. Death anxiety and its associated factors among elderly population of Ludhiana city, Punjab. Indian J Gerontol 2016 Jan 1;30(1):101–10.

  47. Rababa M, Hayajneh AA, Bani-Iss W. Association of death anxiety with spiritual well-being and religious coping in older adults during the COVID-19 pandemic. J Relig Health. 2021 Feb;60:50–63.

  48. Özgüç S, Kaplan Serin E, Tanriverdi D. Death anxiety associated with coronavirus (COVID-19) disease: a systematic review and meta-analysis. OMEGA-Journal of Death and Dying. 2021 Oct;8:00302228211050503.

  49. Weitzel EC, Löbner M, Röhr S, Pabst A, Reininghaus U, Riedel-Heller SG. Prevalence of high resilience in old age and association with perceived threat of covid-19—results from a representative survey. Int J Environ Res Public Health. 2021 Jul;5(13):7173.

  50. Moradi S, Ghodrati Mirkohi M. Comparing the role of hope and resilience in predicting life satisfaction in older adults. J Gerontol 2020 May 10;5(2):71–81.

  51. Hajatnia B, Tajeri B, Haji Alizadeh K. The effectiveness of spiritual therapy on the quality of sleep, resilience, and death anxiety of the elderly. J Prev Med. 2021 Sep;10(2):26–17.

  52. Paul D. Resilience and death anxiety among COVID positive and COVID negative people. Saudi J Humanit Social Sci. 2021;6(9):334–40.

    Google Scholar 

  53. Bahri MZ, Pourhassani SA, Rahmani M, Zalekan F, Kianipour E. The relationship between life expectancy and resilience with death anxiety in HIV patients. J Basic Appl Sci Res. 2013;3(6):899–904.

    Google Scholar 

  54. Kavaklı M, Ak M, Uğuz F, Türkmen OO. The mediating role of self-compassion in the relationship between perceived COVID-19 threat and death anxiety. Anxiety. 2020;4:5.

    Google Scholar 

  55. MacLeod R, Crandall J, Wilson D, Austin P. Death anxiety among new Zealanders: the predictive role of gender and marital status. Mental Health Religion & Culture 2016 Apr 20;19(4):339–49.

  56. Azaiza F, Ron P, Shoham M, Gigini I. Death and dying anxiety among elderly arab Muslims in Israel. Death studies. 2010 Mar 18;34(4):351–64.

  57. Khalili Z, Gholipour F, Habibi Soola A. Evaluation of Resilience and its related factors in the Elderly of Ardabil City. J Health Care. 2021 Mar;10(4):286–94.

  58. Barkhordari Sharifabad M, Hekayati M, Nasiriani KH. The relationship between Moral Distress and Resiliency in Nurses. Med Ethics. 2020;13(45):00–0.

    Google Scholar 

  59. Masood A, Masud Y, Mazahir S. Gender differences in resilience and psychological distress of patients with burns. Burns. 2016 Mar 1;42(2):300-6.

  60. Yang Z, Wang JQ, Zhang BZ, Zeng Y, Ma HP. Factors influencing resilience in patients with burns during rehabilitation period. International Journal of Nursing Sciences. 2014 Mar 1;1(1):97–101.

  61. Paul D, Shilpa I. Resilience and death anxiety among COVID positive and COVID negative people. Saudi J Humanit Social Sci. 2021;6(9):334–40.

    Google Scholar 

  62. Çelik E, Biçener E, Makas S. Relationship between anxiety sensitivity, death anxiety, and Resilience in the age of pandemics and lifelong learning. Int J Educational Res Rev. 2023;8(2):289–302.

    Article  Google Scholar 

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Acknowledgements

This article was extracted from a master’s thesis of Fatemeh Rayatpisheh, with the code of 25413, approved and financially supported by Shiraz University of Medical Sciences, Shiraz, Iran. The authors would like to thank all participants for participating in this research.

Funding

Shiraz University of Medical Sciences funded this research.

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Authors and Affiliations

  1. Student Research Committee, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran

    Fatemeh Rayatpisheh

  2. Community Based Psychiatric Care Research Center, Department of Medical Surgical Nursing, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran

    Camellia Torabizadeh

  3. Community Based Psychiatric Care Research Center, Department of Medical Emergencies, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran

    Majid Najafi Kalyani

  4. Research and Community Health Departments, Nursing School, Aja University of Medical Sciences, Tehran, Iran

    Zahra Farsi

Authors
  1. Fatemeh Rayatpisheh
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  3. Majid Najafi Kalyani
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  4. Zahra Farsi
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Contributions

Fatemeh Rayatpisheh conceived and designed the study, collected the data, authored or reviewed the drafts of the manuscript, and approved the final draft. Camellia Torabizadeh conceived and designed the study, analyzed the data, authored or reviewed the drafts of the manuscript, and approved the final draft. Majid Najafi Kalyani conceived and designed the study, analyzed the data, authored or reviewed the drafts of the manuscript, and approved the final draft. Zahra Farsi conceived and designed the study, analyzed the data, authored or reviewed the drafts of the manuscript, and approved the final draft.

Corresponding author

Correspondence to Majid Najafi Kalyani.

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Ethical approval and consent to participate

This study was approved by the Ethics Committee of Shiraz University of Medical Sciences (code of ethics: IR.SUMS.NUMIMG.REC.1401.042). The study was conducted according to the principles of the Declaration of Helsinki and guidelines for Good Clinical Practice. Before any analysis, informed consent was obtained from the participants of this study based on the ethics committee of Shiraz University of Medical Sciences. The research objectives and methods were explained to the participants. The older adult was also assured of the confidentiality of their information and were allowed to leave the study at any time.

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Rayatpisheh, F., Torabizadeh, C., Najafi Kalyani, M. et al. Relationship between resilience and death anxiety of the older adults during the coronavirus disease 2019 (COVID-19) pandemic. BMC Geriatr 23, 367 (2023). https://doi.org/10.1186/s12877-023-04086-8

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BMC Geriatrics

ISSN: 1471-2318

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