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Middle East Current Psychiatry
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Assessing the influence of personality and health beliefs on variability of COVID-19 fear among Egyptians: a cross-sectional study

Middle East Current Psychiatry volume 30, Article number: 110 (2023) Cite this article

Abstract

Background

Patients and their families get stigmatized and socially excluded due to their fear of COVID-19, which exposes them to psychological discomfort, rage, depression, and anxiety. The purpose of this study was to assess the fear the Egyptian population had of COVID-19 and its risk factors during the pandemic.

Methods

In this study, 1002 Egyptian adults joined part via a cross-sectional online survey.

The survey included questions related to sociodemographic and clinical data, the Health Belief Model (HBM), The Arabic Big Five Personality Inventory (ABFPI), and the Fear of COVID-19 Scale (FCV-19S).

Results

Marriage status, rural residence, non-medical work, lack of satisfaction with personal information about COVID-19, high perceived severity, perceived benefits of social distance, and high scores of neuroticism significantly increased the risk of fear from COVID-19, while low perceived susceptibility and high conscientiousness were protective factors against the fear of covid-19.

Conclusions

Personality traits and health beliefs play an important role in COVID-19-related fear during the pandemic. These findings might help in the planning of prevention programs in the future.

Introduction

In the last 2 years, the world has been overwhelmed with the management of the pandemic caused by the novel coronavirus 2019 (COVID-19). Although most cases presented with mild symptoms [1] however, it is extremely infectious and associated with relatively high mortality which raises individuals’ fears about COVID-19. Fear is defined as a natural, powerful, unpleasant, emotional response to a perceived threat (either real or unreal threat), which is associated with autonomic arousal, thoughts of impending danger, and avoidance behaviors [2, 3]. Usually, anxiety develops out of fear after failing to cope with the perceived threat [4]. Fear of COVID-19 generates stigma and social exclusion of patients and their families, which exposes them to psychological distress and psychiatric morbidity (e.g., anger, depression, and anxiety) [5,6,7]. Although a moderate level of fear makes us alert, and more conscious and it might be required to lower the risk of COVID-19 infection, nevertheless, extreme forms of fear and anxiety impair the life satisfaction and functionality of individuals [8]. It is supposed that for better understanding the individual differences in behavior, probing the personality variable is helpful. Personality is defined as the characteristic way of thinking, feeling, and behaving [9]. The Five-Factor Model (FFM) of personality is a set of five broad trait dimensions or domains. FFM consists of neuroticism (the tendency to be emotionally unstable and experience negative effects such as anger, anxiety, and fear), conscientiousness (how people control, regulate and direct their impulses, and extroversion, which is general tendency to experience positive emotions, characterized by being energetic, sociable and warmth), openness (it involves being creative, curious and interested in new experiences tendency), and agreeableness (it describes person’s ability to put others needs before their own, with a tendency to be kind and cooperative) [10]. It is well-known that neuroticism varies among healthy subjects however, high neuroticism is documented as a common risk factor for several psychopathologies, psychosomatic problems [8], and conditioned fear responses [11]. This hypothesis is supported by imaging studies showing higher amygdala reactivity to negative stimuli in neurotic individuals during exposure to stress [12]. Moreover, Omura et al., [13] reported a positive association between the density of gray matter in the amygdala and neuroticism.

Many social cognitive models place a strong emphasis on the significance of health-related beliefs in shaping a person's behaviors and emotions [14]. One of the most popular models for examining the adoption of health-protective behaviors is the Health Belief Model (HBM) [15]. The five perceptions listed below make up the model's key constructs: perceived seriousness, susceptibility, advantages, barriers, and self-efficacy. The explanation of health behavior can be found in each of these categories [16]. In addition to personality and health-related beliefs, sociodemographic variables are of interest. It is well reported that females tend to be more anxious than males [17] but is this true for the fear of COVID-19? and what are the other individual differences that may affect the level of experiences of COVID-19-related fear? During a pandemic, our study attempted to understand how personality traits, health-related beliefs, sociodemographic factors, and the degree of COVID-19-related fear among the Egyptian population would play a role. Although the same continent-wide procedures have been taken in those wealthy nations, numerous countries in Europe and the US have been adversely affected by COVID-19. Surprisingly, countries with low and moderate levels of income, like Egypt, reported fewer documented instances [18]. We have a research gap in this area among low and middle-income nations, despite the fact that numerous studies have researched and addressed fears and worries related to the COVID-19 pandemic [19, 20], particularly in Western and high-income countries. Therefore, using Egypt as an example of one of these nations, it would be interesting to investigate fear levels and associated factors. Furthermore, the role of personality in COVID-19-related fear was not addressed adequately.

Methods

Participants

A cross-sectional survey was done in Egypt between the first of June 2020 and the last day of September 2020, involving 1002 Egyptians in total. Through the social media site "Facebook," we disseminated an online questionnaire to Egyptian groups. The study included all consecutive Egyptian individuals (> 18 years old) of both genders who were willing to take part. Current known mental, cognitive, and substance use disorders were among the exclusion criteria. Prior to completing the survey, each participant's informed consent was obtained, and their anonymity was guaranteed. The Institutional Review Board (IRB) of the Faculty of Medicine at Zagazig University in Egypt gave its approval to this study (N0:6244/12–7-2020).

Measures

Sociodemographic and clinical questionnaire

The questionnaire included sociodemographic data (i.e., age, sex, marital state, educational level, residence, occupation) and clinical data which included: a history of physical or psychiatric diseases, nicotine smoking, and substance use. Having a relative infected with COVID-19, satisfaction with information about COVID-19, and satisfaction with governmental precautions against COVID-19.

Health beliefs

HBM is used to explore the beliefs and expectations related to the COVID-19 pandemic among participants. It included four domains: perceived risk (perceived susceptibility and perceived severity), perceived benefits, and barriers in addition to self-efficacy. In the current study, we used 18 items to assess HBM domains [21], and five-point Likert's scales are used to assess each one using the following measurement: strongly agree = 5, agree = 4, neutral = 3, disagree = 2, strongly disagree = 1 as following:

1) Perceived risk of COVID-19 infection which included; (a) Risk of susceptibility: refers to the participant’s belief about the probability of having COVID-19 infection, and assessed by two items (e.g., COVID-19 infection is likely to develop) (mean = 6.66, scores ≥ 6.66 are considered high) and (b) Risk of severity which pointed to participant’s belief about the possible consequences of getting COVID-19 infection. It is assessed by three items (e.g., “If I get COVID-19 infection, I may lose my life”) (mean 11.9, scores ≥ 11.9 considered high). 2) Self-efficacy: It was assessed by five items and the sum variable “self-efficacy to prevent COVID-19” was constructed from the five items. The mean was 22.44 ± 2.21 SD with scores ≥ 22.44 considered (1) yes and scores < 22.44 considered (0) no efficacy. 3) Perceived benefits from practicing protective behaviors; it described the participant’s thoughts about the value and effectiveness of these behaviors in risk reduction of COVID-19 infection. Four items are used (e.g., “I am feeling safe from getting an infection, while I am using masks, gloves, disinfectants, and hand washing” and “Adherence to social distancing and avoidance of unnecessary leaving home protects me from being infected with COVID-19”) for hand hygiene benefits, mean = 8.18, (scores ≥ 8.18 considered high) while for social distance benefits, mean = 9.07 (scores ≥ 9.07 considered high). 4) Perceived barriers to practicing protective behaviors that assess participants' beliefs regarding difficulties, they may face while practicing the protective behaviors. This domain was assessed by four items (e.g., “Hand hygiene may damage my hands” and “I always forget to apply social distancing”), mean for hand hygiene barriers = 7.20 (scores ≥ 7.20 considered high), and social distance barriers = 7.22 (scores ≥ 7.22 considered high).

The Arabic Big Five Personality Inventory (ABFPI)

ABFPI determines how one person differs from the others in terms of personality traits including conscientiousness, neuroticism, openness, extraversion, and agreeableness. ABFPI consists of 25 short statements which are derived from a large item pool (455 items) through different steps [22]. Each personality trait or factor was assessed by five items with a total score ranging from 6 – 24 points, and higher scores on the factor are a sign that the trait is more prevalent. With acceptable to good internal consistency and test–retest repeatability, it is a validated tool [23, 24].

Fear of COVID-19 Scale (FCV-19S)

In this study, people's fears about the COVID-19 pandemic were evaluated and allayed using the Fear of COVID-19 Scale (FCV-19S). It has been demonstrated to have strong psychometric qualities, with comparability across all age groups and for both genders [25, 26]. The reliability and validity of the Arabic version had been examined by [27]. With a median of 18, the overall score ranged from 7 to 35. Participants who submitted scores of 18 showed strong levels of fear. This scale consists of 7 questions, with responses ranging from "strongly agree" to "agree," "neither agree nor disagree," "disagree," and "strongly disagree" with scores from 5 to 1. The scale had total scores ranging from 7 to 35. A higher rating denotes a greater level of COVID-19-related fear.

Statistical analysis

Statistical software for the Social Sciences was used for data analysis (SPSS, version 22.0, Chicago, IL). The Chi-square test (X2) was used for categorical data. Qualitative variables were described by frequencies and percentages while quantitative variables were represented by the means and standard deviations. Independent sample t-tests and one-way ANOVA tests were used for comparison between quantitative data. The Pearson correlation coefficient was used to assess how closely related two variables having a linear relationship are to one another. When the significant probability was less than 5% (p 0.05) and the probability of error was less than 1% (p 0.01), all results were deemed statistically significant.

Results

Sociodemographic and clinical characteristics of participants

The mean age of participants was 33.07 ± 8.03 years, and most of them were females (No = 713, 71.1%) and lived in urban (No = 781,77.9%). One quarter (No = 250) of the studied participants worked in the medical field and around half (No =  = 563) had a university degree. One-fifth had (No = 230) physical diseases. Most of the participants (No = 896, 89.4%) are non-smokers. Eighteen percent had infected relatives with COVID-19. Two-thirds (No = 650) were satisfied with their information about COVID-19, but more than three-fourths (No = 770) were not satisfied with governmental precautions against COVID-19.

Prevalence and Correlates of Fear of COVID-19

The overall mean score for the Fear of COVID-19 Scale was (18.29 ± 5.96). Fifty-three percent of participants had high fear levels (≥ 18). Significant higher COVID-19 fear levels were shown in females (P-value = 0.001), widows (P-value = 0.048), rural residents (P-value = 0.001), people with low educational levels (P-value = 0.001), not working people, (P-value = 0.001), non-smokers participants, people with medical and psychiatric comorbidity, and participants who were not satisfied with their personal information about COVID-19, as illustrated in Table 1.

Table 1 Association between sociodemographic data and COVID-19 fear scores
Full size table

Association between health beliefs and fear of COVID-19

Participants who reported high perceived severity, high perceived benefits of both hand hygiene and social distance, and high perceived barriers to social distances showed significantly higher scores of COVID-19 fear as in Table 2.

Table 2 Association between cognitive factors (HBM items) and scores of fear of COVID-19 scale
Full size table

Association between personality traits and fear of COVID-19

Among the participants, there was a significant association between higher total scores of COVID-19 fear and lower scores of conscientiousness (P-value = 0.001), openness (P-value = 0.001), agreeableness (P-value = 0.011), and high neuroticism (P-value = 0.001), as illustrated in Table 3.

Table 3 Association between personality traits and total scores of COVID-19 scale
Full size table

Analysis through logistic regression of the variables linked to a high fear score

Using logistic regression analysis, it was found that marriage, widow status, rural residence, not working, lack of satisfaction with personal information about COVID-19, high perceived severity, perception of high social distance benefits, and high neuroticism trait significantly increased risk of COVID-19-related fear by 1.51, 1.64, 1.69, 1.65, 3.22, 2.14, 2.22 and 2.299 folds respectively. While low perceived suitability and high Conscientiousness were protective factors against the fear of COVID-19 as shown in Table 4.

Table 4 Logistic regression of factors associated with high fear score (≥ 18) among the studied participants
Full size table

Discussion

During the COVID-19 epidemic, more than half of the Egyptian population reported having high levels of COVID-19-related fear. Numerous nations around the world reported outcomes that were comparable. Over two-thirds of participants in an online poll study in the USA expressed concern about COVID-19 [28]. Giordani et al. [29] found that 53% of the Brazilian population had high fear, while Doshi et al. [30] revealed that 45.2% of the population in India, had high COVID-19-related fear. However, in Cuba, Broche-Pérez et al. [31] reported that only 22.7% of the population showed a high level of fear. This difference might be attributed to using different measures at different times during the pandemic.

The perceived ambiguity of the virus, the lack of a clear prevention strategy and the sparse use of medical protective equipment, health anxiety, regular media use, and excessive exposure to life-changing events like the loss of family members due to COVID-19 can all be attributed to the participants' high levels of COVID-19-related fear [32, 33]. Additionally, disturbing ideas about the pandemic's effects, including lost jobs, reduced income, and harmed interpersonal relationships with feelings of hopelessness, loneliness, and anger which accentuate the fear perception [34,35,36].

Logistic regression analysis revealed that being married, rural residence, not working or not satisfied with personal information are significant factors that increase the risk of high COVID-19 related fear.

Many studies support our findings [34, 37,38,39,40,41]. In non-pandemic situations, being married is associated with more psychological flexibility and less anxiety compared to a nonmarried counterpart, however, in light of the pandemic, the contrary is true [37]. This can be explained, married subjects became more preoccupied with worrying thoughts related to getting an infection and the risk of complications of the family members during the pandemic which accentuate their fears.

Rural residents were more likely to have COVID-19 fear than urban residents because they usually have low socioeconomic status, poor access to COVID-19-related data, and less access to hospital or medical facilities [42,43,44]. These factors may complicate the perceived stress and magnify their fears.

Subjects who are currently not working showed a significant experience of fear of COVID-19. Supporting these findings, Psychologists referred to those who lose their work as ‘precarious work’ and this type of work generates physical, relational, behavioral, psychological, economic, and emotional stresses that worsen outcomes created by crises like the COVID-19 pandemic [45] Moreover, people who have never worked in the medical field may lack sufficient medical knowledge about COVID-19, so they experience more fear than those who did [41, 46]. This finding shed light on those who lost their work secondary to the crisis, and their need for, psychological, financial, and educational interventions to lessen the pandemic's detrimental effects.

This study found that a higher level of fear of COVID-19 is inversely related to the level of satisfaction with personal information related to COVID-19, which is supported by Hossain et al. [47]. These findings highlight the importance of the availability of governmental official medical websites that release accurate pandemic related information and keep the subjects updated in such crises.

Participants with high perceived severity and perceived benefits of social distancing were three and two times more likely to have higher levels of COVID-19-related fear respectively than their counterparts. However, low perceived susceptibility was a protective factor against COVID-19 fear. These findings confirm the earlier reports, which found that high fear of coronavirus was associated with perceived higher susceptibility, severity, and threat of the infection during the COVID-19 pandemic [21]. Moreover, Leung et al. [48] reported similar results during the SARS pandemic. According to this study's findings about Egyptians' health perceptions of protective measures, there is a strong correlation between high perceived social benefits and a high risk of COVID-19-related fear. Our results provide more evidence for early observations that fear plays a paradoxical function in emotions, having both good and harmful effects. Regarding the perceived benefits, past studies showed a correlation between higher levels of COVID-19-related fear and higher levels of health compliance and participation in protective measures (such as handwashing and social seclusion) among the general public [49, 50].

This study showed that people with high levels of neuroticism experienced significantly higher levels of fear related to COVID-19 than people with high levels of conscientiousness, openness, and agreeableness. Similar results were discovered in Italy [51]. There is a significant link between health anxiety, neuroticism, and unfavorable temperament, according to other studies [52]. Other research [53, 54] that found that openness, agreeableness, and conscientiousness were protective variables and that neuroticism is a risk factor for anxiety associated to COVID-19 corroborated our findings. According to a recent study, people with high neuroticism may have become more anxious about COVID19-related information and pandemic effects during the COVID-19 pandemic. This would have heightened their perception of the virus's threat and intensified their negative emotions [55, 56].

In the current study, it was interesting to know that persons with higher traits of Conscientiousness were protected against the fear of COVID-19. Supporting to our findings, Bayanfar and Watson & Clark, [57, 58] reported that higher levels of conscientiousness were associated with reduced COVID-19-related anxiety. This could be explained by the fact that individuals with higher levels of conscientiousness are less likely to perceive a stressor as threatening because they have higher perceived efficacy, self-regulation, and coping strategies to COVID-19 which minimize the perceived stress [59,60,61]. Fear of COVID-19 is a double-edged weapon, although it has a crucial role to enhance the knowledge about protective behavior, however, long-standing fear became a window for anxiety and depression.

Limitations

Because of its cross-sectional design and use of non-representative self-reported data, the current study had a number of limitations. Since it was impossible to gather the data in person while Egypt was under lockdown, participants for the survey were recruited using an online platform. As a result, only people with access to and the ability to use the internet were included, which is regarded as a limitation. Furthermore, recall bias represents yet another study flaw. In order to get over these restrictions, more research is still necessary. Despite the aforementioned drawbacks, this study provided additional proof that certain risk and protective factors are crucial in predicting COVID-19-related fear during the pandemic and other similar crises.

Conclusions

During the COVID-19 epidemic, more than half of the Egyptian population reported having high fear of COVID-19. Being married or widowed, rural residence, not working, dissatisfaction with personal knowledge about COVID-19, high perceived severity, high adaptive behaviors benefits, and high neuroticism were the most important risk variables for COVID-19-related fear during a pandemic.

Availability of data and materials

Data will be available from the corresponding author if needed.

Abbreviations

ABFPI:

Arabic Big Five Personality Inventory

COVID-19:

Coronavirus-2019

FCV-19:

Fear of COVID-19 Scale

FFM:

Five-Factor Model

HBM:

Health belief model

IRB:

Institutional Review Board

O.D.:

Odds ratio

SARS:

Severe Acute Respiratory Syndrome

SPSS:

Statistical Software Package for the Social Sciences

USA:

United States of America

References

  1. Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, Ho RC (2020) Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health 17:1729

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.).

  3. Kalat JW, Shiota MN. (2007). Emotion. Thompson Wadsworth.

  4. Ohman A (2000) Fear and anxiety: evolutionary, cognitive, and clinical perspectives. In: Lewis M, Haviland-Jones JM (eds) Handbook of emotions, 2nd edn. Guilford, New York, pp 573–593

    Google Scholar 

  5. Abad A, da Silva JA, de Paiva Teixeira LE, Antonelli-Ponti M, Bastos S, Mármora CH et al (2020) Evaluation of fear and peritraumatic distress during the COVID-19 pandemic in Brazil. Adv Infect Dis 10:184. https://doi.org/10.4236/aid.2020.103019

    Article  Google Scholar 

  6. Satici B, Saricali M, Satici SA, Griffiths MD. (2020). Intolerance of uncertainty and mental wellbeing: serial mediation by rumination and fear of COVID-19. Int J Ment Health Addict. 1–12. https://doi.org/10.1007/s11469-020-00305-0

  7. Zhang J, Wu W, Zhao X, Zhang W (2020) Recommended psychological crisis intervention response to the 2019 novel coronavirus pneumonia outbreak in China: a model of West China hospital. Precis Clin Med 3:3–8. https://doi.org/10.1093/pcmedi/pbaa006

    Article  PubMed  PubMed Central  Google Scholar 

  8. Lahey BB (2009) Public health significance of neuroticism. Am Psychol 64:241–252. https://doi.org/10.1037/a0015309

    Article  PubMed  PubMed Central  Google Scholar 

  9. Montag C, Reuter M (2014) Disentangling the molecular genetic basis of personality: from monoamines to neuropeptides. Neurosci Biobehav Rev 43:228–239. https://doi.org/10.1016/j.neubiorev.2014.04.006

    Article  CAS  PubMed  Google Scholar 

  10. Vollrath M (2001) Personality and stress. Scand J Psychol 42(4):335–347

    Article  CAS  PubMed  Google Scholar 

  11. Orleans-Pobee, R. M. C. (2017). Personality and fear conditioning: effects of neuroticism. [Undergraduate Honors Theses. Paper 1130]. Available at: https://scholarworks.wm.edu/honorstheses/1130 (Accessed 5 Jun 2020).

  12. Everaerd D, Klumpers F, van Wingen G, Tendolkar I, Fernández G (2015) Association between neuroticism and amygdala responsivity emerges under stressful conditions. Neuroimage 112:218–224. https://doi.org/10.1016/j.neuroimage.2015.03.014

    Article  PubMed  Google Scholar 

  13. Omura K, Constable RT, Canli T (2005) Amygdala gray matter concentration is associated with extraversion and neuroticism. NeuroReport 16:1905–1908. https://doi.org/10.1097/01.wnr.0000186596.64458.76

    Article  PubMed  Google Scholar 

  14. Raude J, Lecrique J, Lasbeur L, Leon C, Guignard R, Roscoät E, Arwidson P. (2020). Determinants of preventive behaviors in response to the COVID-19 pandemic in France: comparing the sociocultural, psychosocial and social cognitive explanations. PsyArxiv Preprints. Preprint. https://doi.org/10.31234/osf.io/4yvk2

  15. Conner M, Norman P. (2005). Predicting health behaviour. McGraw-Hill Education (UK). Coronavirus disease (COVID-19) advice for the public. (2020). Accessed: March 21, 2020: https://www.who.int/emergencies/diseases/novel-coronavirus2019/advice-for-public.

  16. Hayden J (2017) Introduction to health behavior theory, 3rd edn. Jones & Bartlett Publishers, Burlington

    Google Scholar 

  17. Bahrami F, Yousefi N (2011) Females are more anxious than males: a metacognitive perspective. Iran J Psychiatry Behav Sci. 5(2):83–90 (PMID: 24644451; PMCID: PMC3939970)

    PubMed  PubMed Central  Google Scholar 

  18. Johns Hopkins Coronavirus Resource Center. (2020). Retrieved from https://coronavirus.jhu.edu/

  19. Liu N, Zhang F, Wei C, Jia Y, Shang Z, Sun L (2020) Prevalence and predictors of PTSS during 322 COVID-19 outbreak in China hardest-hit areas: gender differences matter. Psychiatry Res 112921:112921. https://doi.org/10.1016/j.psychres.2020.112921

    Article  CAS  Google Scholar 

  20. Lu W, Wang H, Lin Y, Li L (2020) Psychological status of medical workforce during the COVID-19 pandemic: a cross-sectional study. Psychiatry Res 288:112936. https://doi.org/10.1016/j.psychres.2020.112936

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Nasir EF, Yagoub HMA, Alhag AK. (2020). Study of the Sudanese perceptions of COVID-19: Applying the Health Belief Model. medRxiv preprint. https://doi.org/10.1101/2020.05.28.20115477.

  22. Costa PT, McCrae RR. (1992). Revised NEO Personality Inventory (NEOPI-R) and NEO Five Factor Inventory (NEO FFI): Professional Manual. In: Psychological Assessment Resources, Odessa.

  23. Abdel Khalek AM (2018) The Arabic Big Five Personality Inventory (ABFPI): Setting the Stage. Psychol Behav Sci Int J 9(4):002555766. https://doi.org/10.19080/PBSIJ.2018.09.555766

    Article  Google Scholar 

  24. Abdel-Khalek AM (2019) Psychometric properties of the Arabic Big Five Personality Inventory (ABFPI). Psychol Behavioral Sci: Int J 11(4):555820. https://doi.org/10.19080/PBSIJ.2019.11.555820

    Article  Google Scholar 

  25. Ahorsu DK, Lin C, Imani V, Saffari M, Griffiths MD, Pakpour AH. (2020). The fear of COVID-19 scale: development and initial validation. Int J Mental Health Addict. 1–9. https://doi.org/10.1007/s11469-020-00270-8.

  26. Pakpour AH, Griffiths MD (2020) The fear of COVID-19 and its role in preventive behaviors. J Concurrent Dis 2(1):58–63

    Google Scholar 

  27. Alyami M, Henning M, Krägeloh CU, Alyami H. (2020). Psychometric evaluation of the Arabic version of the fear of COVID-19 scale. Int J Mental Health Addict; (Published online at 16/5/2020) https://doi.org/10.1007/s11469-020-00316-x.

  28. Nelson LM, Simard JF, Oluyomi A, Nava V, Rosas LG, Bondy M, Linos E. (2020). US public concerns about the COVID-19 pandemic from results of a survey given via social media. JAMA Intern Med. https://doi.org/10.1001/jamainternmed.2020.1369.

  29. Giordani RCF, Zanoni da Silva M, Muhl C, Giolo SR (2022) Fear of COVID-19 scale: Assessing fear of the coronavirus pandemic in Brazil. J Health Psychol. 27(4):901–912. https://doi.org/10.1177/1359105320982035

    Article  PubMed  Google Scholar 

  30. Doshi D, Karunakar P, Sukhabogi JR, Prasanna JS, Mahajan SV (2020) Assessing coronavirus fear in Indian population using the fear of COVID-19 scale. Int J Ment Heal Addict. https://doi.org/10.1007/s11469-020-00332-x

    Article  Google Scholar 

  31. Broche-Pérez Y, Fernández-Fleites Z, Jiménez-Puig E. et al. (2020) Gender and fear of COVID-19 in a Cuban population sample. Int J Mental Health Addict: 1–9. https://doi.org/10.1007/s11469-020-00343-8.

  32. Mohindra R, Ravaki R, Suri V, Bhalla A, Singh SM (2020) Issues relevant to mental health promotion in frontline health care providers managing quarantined/isolated COVID19 patients. Asian J Psychiatr 51:102084. https://doi.org/10.1016/j.ajp.2020.102084

    Article  PubMed  PubMed Central  Google Scholar 

  33. Mertens G, Gerritsen L, Duijndam S, Salemink E, Engelhard IM (2020) Fear of the coronavirus (COVID-19): predictors in an online study conducted in March. J Anxiety Disord 2020(74):102258. https://doi.org/10.1016/j.janxdis.2020.102258

    Article  Google Scholar 

  34. Cerda AA, García LY (2021) Factors explaining the fear of being infected with COVID-19. Health Expect 00:1–7. https://doi.org/10.1111/hex.13274

    Article  Google Scholar 

  35. Joffe AR (2021) COVID-19: rethinking the lockdown groupthink review. Front Public Health 9(98):1–25. https://doi.org/10.3389/fpubh.2021.625778

    Article  Google Scholar 

  36. Sakib N, Akter T, Zohra F, Bhuiyan I, Mamun MA, Griffiths MD (2021) Fear of COVID-19 and depression: a comparative study among the general population and healthcare professionals during COVID-19 pandemic crisis in Bangladesh. Int J Ment Heal Addict. https://doi.org/10.1007/s11469-020-00477-9

    Article  Google Scholar 

  37. Pang NTP, Nold Imon G, Johoniki E, Mohd Kassim MA, Omar A, Syed Abdul Rahim SS, Hayati F, Jeffree MS, Ng JR (2021) Fear of COVID-19 and COVID-19 stress and association with sociodemographic and psychological process factors in cases under surveillance in a frontline worker population in Borneo. Int J Environ Res Public Health 18:7210. https://doi.org/10.3390/ijerph18137210

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Birhanu A, Tiki T, Mekuria M, Yilma D, Melese G, Seifu B (2021) COVID-19 induced anxiety and associated factors among urban residents in West Shewa Zone Central Ethiopia. Psychol Res Behav Manag. 14:99–108. https://doi.org/10.2147/PRBM.S298781. (PMID: 33603511; PMCID: PMC7881787)

    Article  PubMed  PubMed Central  Google Scholar 

  39. Kassim MAM, Pang NTP, Mohamed NH, Assis Kamu A, Ho CM, Ayu F, Abdul Rahim SSS, Omar A, Jeffree MS. (2021): Relationship between fear of COVID-19, psychopathology and sociodemographic variables in Malaysian population. Int J Mental Health Addict. https://doi.org/10.1007/s11469-020-00444-4

  40. Acuto M (2020) COVID-19: lessons for an urban(izing) world. One Earth 2:317–319. https://doi.org/10.1016/j.oneear.2020.04.004

    Article  PubMed  PubMed Central  Google Scholar 

  41. Ho H, Chen Y, Yen C (2020) Different impacts of COVID-19-related information sources on public worry: an online survey through social media. Internet Interv 22:100350

    Article  PubMed  PubMed Central  Google Scholar 

  42. Erwin C, Aultman J, Harter T, Illes J, Kogan RCJ (2020) Rural and remote communities: unique ethical issues in the COVID-19 pandemic. Am J Bioethics 20:117–120. https://doi.org/10.1080/15265161.2020.1764139

    Article  CAS  Google Scholar 

  43. Smith AS, Trevelyn E. (2019). The older population in rural America: 2012–2016. United States Census Bureau.

  44. Summers-Gabr NM (2020) Rural-urban mental health disparities in the United States during COVID-19. Psychol Trauma 12:S222–S224. https://doi.org/10.1037/tra0000871

    Article  PubMed  Google Scholar 

  45. David L, Blustein RD, Joaquim A, Ferreira VC-S, Cinamon RG, Blake AA. (2020). Unemployment in the time of COVID-19: a research agenda. J Vocational Behavior 119:2020. 103436,ISSN 0001 8791. https://doi.org/10.1016/j.jvb.2020.103436. (https://www.sciencedirect.com/science/article/pii/S0001879120300610)

  46. Cerda AA, Garcia LY (2021) Hesitation and refusal factors in individuals’ decision-making processes regarding a COVID-19 vaccination. Front Public Health 9:1–14. https://doi.org/10.3389/fpubh.2021.626852

    Article  Google Scholar 

  47. Hossain MA, Jahid MIK, Hossain KMA, Walton LM, Uddin Z, Haque MO et al (2020) Knowledge, attitudes, and fear of COVID-19 during the Rapid Rise Period in Bangladesh. PLoSONE 15(9):e0239646. https://doi.org/10.1371/journal.pone.0239646

    Article  CAS  Google Scholar 

  48. Leung G, Lam T, Ho L, Ho S, Chan B, Wong I et al (2003) The impact of community psychological responses on outbreak control for severe acute respiratory syndrome in Hong Kong. J Epidemiol Community Health 57:857–863

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Harper CA, Satchell LP, Fido D, Latzman RD (2021) Functional Fear Predicts Public Health Compliance in the COVID-19 Pandemic. Int J Ment Health Addict 19(5):1875–88. https://doi.org/10.1007/s11469-020-00281-5. (Epub 2020 Apr 27)

    Article  PubMed  Google Scholar 

  50. Yıldırım M, Geçer E, Akgül Ö (2021) The impacts of vulnerability, perceived risk, and fear on preventive behaviours against COVID-19. Psychol Health Med 26(1):35–43

    Article  PubMed  Google Scholar 

  51. Mazza C, Ricci E, Biondi S, Colasanti M, Ferracuti S, Napoli C, Roma P (2020) A Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological Responses and Associated Factors. Int J Environ Res Public Health 17:3165. https://doi.org/10.3390/ijerph17093165

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Lee SA, Jobe MC, Mathis AA, Gibbons JA (2020) Incremental validity of coronaphobia: coronavirus anxiety explains depression, generalized anxiety, and death anxiety. J Anxiety Disord 74:102268

    Article  PubMed  PubMed Central  Google Scholar 

  53. Nikčević AV, Spada MM (2020) The COVID-19 anxiety syndrome scale: development and psychometric properties. Psychiatry Res 292:113322

    Article  PubMed  PubMed Central  Google Scholar 

  54. Nikčević AV, Marino C, Kolubinski DC, Leach D, Spada MM (2021) Modelling the contribution of the big five personality traits, health anxiety, and COVID-19 psychological distress to generalised anxiety and depressive symptoms during the COVID-19 pandemic. J Affect Disord 279:578–584

    Article  PubMed  Google Scholar 

  55. Merino H, Senra C, Ferreiro F (2016) Are worry and rumination specific pathways linking neuroticism and symptoms of anxiety and depression in patients with generalized anxiety disorder, major depressive disorder and mixed anxiety-depressive disorder? PLoS ONE 11:e0156169

    Article  PubMed  PubMed Central  Google Scholar 

  56. Kroencke L, Geukes K, Utesch T, Kuper N, Back MD (2020) Neuroticism and emotional risk during the COVID-19 pandemic. J Res Pers. 89:104038. https://doi.org/10.1016/j.jrp.2020.104038

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Bayanfar F (2020) Predicting corona disease anxiety among medical staffs in Tehran based on five factor theory of personality. Iran J Health Psychol 2:113–126. https://doi.org/10.30473/ijohp.2020.52976.1078

    Article  Google Scholar 

  58. Watson D, Clark LA (2020) Personality traits as an organizing framework for personality pathology. Personal Ment Health 14:51–75. https://doi.org/10.1002/pmh.1458

    Article  PubMed  Google Scholar 

  59. Ebstrup JF, Eplov LF, Pisinger C, Jørgensen T (2011) Association between the five factor personality traits and perceived stress: is the effect mediated by general self-efficacy? Anxiety Stress Coping 24(4):407–419

    Article  PubMed  Google Scholar 

  60. Hoyle RH (2006) Personality and self-regulation: trait and information-processing perspectives. J Pers 74(6):1507–1525. https://doi.org/10.1111/j.1467-6494.2006.00418.x

    Article  PubMed  Google Scholar 

  61. Lecic-Tosevski D, Vukovic O, Stepanovic J (2011) Stress and personality. Psychiatriki 22(4):290–297

    CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Psychiatry, Faculty of Medicine, Zagazig University, Zagazig, Egypt

    Samar Atwa, Medhat M. Bassiony, Mervat Said & Eman Fouad

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  1. Samar Atwa
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  2. Medhat M. Bassiony
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  3. Mervat Said
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Contributions

M.B. put the idea and the design of the study. E.F., SA, and M.E. have collected the data and tabulated them. D.E. analyzed the data. All authors were involved in writing and editing the manuscript before submission.

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Correspondence to Mervat Said.

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The IRB of the faculty of medicine at Zagazig University in Egypt approved this study, and each person gave their written consent to take part in it.

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Atwa, S., Bassiony, M.M., Said, M. et al. Assessing the influence of personality and health beliefs on variability of COVID-19 fear among Egyptians: a cross-sectional study. Middle East Curr Psychiatry 30, 110 (2023). https://doi.org/10.1186/s43045-023-00379-1

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