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Healthcare
  • Article
  • Open Access

20 April 2023

COVID-19: Factors Associated with the Psychological Distress, Fear and Resilient Coping Strategies among Community Members in Saudi Arabia

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1
Department of Community, Psychiatric and Mental Health Nursing, College of Nursing, Qassim University, Buraidah 51452, Saudi Arabia
2
Department of Epidemiology and Public Health, Riyadh Second Health Cluster, King Fahad Medical City, Riyadh 12271, Saudi Arabia
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Department of Public Health, College of Public Health and Health Informatics, Qassim University, Al Bukairiyah 52741, Saudi Arabia
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Department of Emergency Medical Service, Jazan University, Jazan 45142, Saudi Arabia
This article belongs to the Special Issue Direct and Indirect Effects of the Ongoing COVID-19 Pandemic on Physical and Mental Health: Second Edition

Abstract

(1) Background: COVID-19 caused the worst international public health crisis, accompanied by major global economic downturns and mass-scale job losses, which impacted the psychosocial wellbeing of the worldwide population, including Saudi Arabia. Evidence of the high-risk groups impacted by the pandemic has been non-existent in Saudi Arabia. Therefore, this study examined factors associated with psychosocial distress, fear of COVID-19 and coping strategies among the general population in Saudi Arabia. (2) Methods: A cross-sectional study was conducted in healthcare and community settings in the Saudi Arabia using an anonymous online questionnaire. The Kessler Psychological Distress Scale (K-10), Fear of COVID-19 Scale (FCV-19S) and Brief Resilient Coping Scale (BRCS) were used to assess psychological distress, fear and coping strategies, respectively. Multivariate logistic regressions were used, and an Adjusted Odds Ratio (AOR) with 95% Confidence Intervals (CIs) was reported. (3) Results: Among 803 participants, 70% (n = 556) were females, and the median age was 27 years; 35% (n = 278) were frontline or essential service workers; and 24% (n = 195) reported comorbid conditions including mental health illness. Of the respondents, 175 (21.8%) and 207 (25.8%) reported high and very high psychological distress, respectively. Factors associated with moderate to high levels of psychological distress were: youth, females, non-Saudi nationals, those experiencing a change in employment or a negative financial impact, having comorbidities, and current smoking. A high level of fear was reported by 89 participants (11.1%), and this was associated with being ex-smokers (3.72, 1.14–12.14, 0.029) and changes in employment (3.42, 1.91–6.11, 0.000). A high resilience was reported by 115 participants (14.3%), and 333 participants (41.5%) had medium resilience. Financial impact and contact with known/suspected cases (1.63, 1.12–2.38, 0.011) were associated with low, medium, to high resilient coping. (4) Conclusions: People in Saudi Arabia were at a higher risk of psychosocial distress along with medium-high resilience during the COVID-19 pandemic, warranting urgent attention from healthcare providers and policymakers to provide specific mental health support strategies for their current wellbeing and to avoid a post-pandemic mental health crisis.

1. Introduction

The COVID-19 disease, since its outbreak in China, has spread widely, affecting more than 213 countries and territories around the world. As of Dec-2021, globally, more than 276 million people have tested positive for COVID-19 infection, with more than five million fatalities []. COVID-19 caused the worst international health crisis of recent times, accompanied by a major global economic downturn and mass-scale job losses, with all of these impacts leading to psychosocial issues among people. Countries were forced to adopt extreme measures such as quarantine or self-isolation of the infected and their close contacts, preventing public gatherings, closing schools and universities, banning travel, closing territorial and international borders and in some cases, forcing complete lockdown of cities [].
In Saudi Arabia, the first COVID-19-positive case was identified in the first week of March 2020 []. As of April 2022, Saudi Arabia has recorded 751,404 cases, with 9053 fatalities []. The lower fatality rate of 1.6% in Saudi Arabia compared with the international rate of 1.9% indicates that Saudi Arabia has handled the crisis relatively well compared to other countries []. The authorities in Saudi Arabia responded to the pandemic rapidly and imposed several measures to reduce the spread of the infection, closed all borders and suspended international flights and internal transports, including pilgrimages (Pilgrimages: in Islamic terminology, Hajj is a pilgrimage made to the Kaaba, the “House of God”, in the sacred city of Mecca in Saudi Arabia) to the Prophet’s Mosque in Madinah, an unprecedented decision since 1858 []. Curfew was imposed for several hours a day in many of the cities, together with the closure of schools and workplaces and the cancellation of larger social and religious events and services []. Furthermore, a national campaign of mass screening was initiated, where people with COVID-19-like symptoms were screened, along with their close contacts []. Those who returned a positive Polymerase Chain Reaction (PCR) test had to undergo mandatory 14-day quarantine []. In addition, arriving travelers were initially required to undergo institutional quarantine.
Saudi citizens and visitor residents were being regularly updated with the latest news and preventative measures by text messages [,]. The supply of essential goods such as food and medicines was ensured by home delivery.
Reports from several countries have indicated that the drastic but unavoidable measures that were taken to prevent the spread of COVID-19 have deeply impacted people’s lifestyles, with negative physical and mental health consequences [,,]. There has been widespread anxiety and distress in all affected countries arising from prolonged isolation and quarantine, infection fears, frustration, boredom, shortage of essential supplies, inadequate information, and financial losses []. Even in countries such as Australia, where the infection and case fatality rates were very low compared to other developed countries such as USA or UK, people were distressed because of the potential of becoming infected with the virus, even without close contact with an infected person and the rapid spread within the communities [,]. Several research studies from various countries, including Saudi Arabia, found that the pandemic caused increased psychological distress, fear, and depression in a large proportion of community members [].
Depoux et al. [] warned of the possibility of adverse psychosomatic outcomes among people due to the pandemic, which is likely to be compounded by the constant flow of information (sometimes misinformation) via online and various forms of social media. It is feared that the rapidly expanding mass hysteria and panic regarding COVID-19 may lead to long-term psychological problems among people, regardless of their socioeconomic status []. The limited studies on the impact of pandemics on society, in relation to previous experiences such as SARS, have pointed to many stressors linked to disease outbreaks and pandemics [,]. One study from Bahrain examined the impact of COVID-19 on a fraction of individuals who were isolated or quarantined []. A study from UAE examined such impacts among university students only, and an additional study from Saudi Arabia examined the effect of lockdown on the psychology of the studied population []. Few studies have examined factors associated with mental wellbeing within Saudi Arabia, and no study focused on the psychological impact of COVID-19 []. A Saudi survey reported that of 3017 respondents, 19.6% had moderate to severe levels of anxiety during the pandemic []. Another study reported the occurrence of moderate or severe psychological impact among 23.6% of respondents []. Regarding residents in Saudi Arabia, the majority of them are temporary workers, particularly from low-income and middle-income countries. Previous research from Saudi Arabia examined the psychological impact on healthcare workers [,]. However, very limited evidence was generated amongst the general population in Saudi Arabia, and identification of high-risk groups during the pandemic was almost non-existent. Variations in COVID-19 restrictions, available resources, and compliance with public health messages made it difficult to apply the study findings from the neighboring countries to Saudi settings. Findings from this study would inform potential interventions and policies to address psychological wellbeing amongst the identified high-risk group of people in Saudi Arabia, specifically during similar crisis moments. This study examined factors associated with psychosocial distress, fear of COVID-19 and coping strategies amongst the general population in Saudi Arabia and defined high-risk groups impacted by the pandemic.

2. Materials and Methods

2.1. Study Design and Settings

This cross-sectional study was conducted among the general population in Saudi Arabia. The study was conducted over 30 days, from 15 December 2020 to 15 January 2021. The participants were aged between 18 and 65 years old. The questionnaire was designed in accordance with the previously published literature, and the survey was pre-tested for validation amongst migrants and non-migrants [,]. The survey was conducted in Arabic and English and took about 15 min to be completed.

2.2. Study Population and Sample Size

The study population included people residing in Saudi Arabia (irrespective of nationality), ≥18 years old, who could respond to either Arabic or English questionnaires on an online platform. This included patients, frontline health and other essential service workers, and general community members. Any participant who took <1 min to respond to the questionnaire was excluded from analyses due to the unreliability of responses. Snowball sampling was used to select study participants so that the respondents who were directly contacted by the study investigators could forward the survey link to their personal and professional networks. OpenEpi software v.3.01 was used to calculate the sample size. Considering Saudi Arabia’s population of 35.3 million (Worldometer, 2021), assuming a 23.6% prevalence of stress among the people at 95% confidence intervals and 80% power [], the estimated minimum sample size was 278.

2.3. Data Collection

An online link in Arabic and English was created with a structured survey questionnaire using Google Forms. The plain language information statement and the consent form appeared on the first screen. Only the participants, who provided consent and agreed to participate in the study, could move to the next screen containing the single eligibility criteria of being an adult. The subsequent screens had the complete study questionnaire. The anonymous questionnaire was introduced, and the invitation, which included an internet link and a QR code, was distributed via social media platforms, online community networks, and staff and student email databases of participating universities/hospitals. Participants had the freedom to complete the questionnaire in their free time at home or while waiting to see a doctor. The online survey did not capture any personally identifiable information from them.

2.4. Study Tool

The structured survey questionnaire was adapted from the previous Australian study that was conducted with the same objective as this study []. Psychological distress was measured using the Kessler Psychological Distress Scale (K-10) []. The K10 scale is a self-reporting questionnaire with ten items that assess distress based on depressive and anxiety symptoms. Each item has five possible responses (none of the time = 1, some of the time = 3, most of the time = 4, all of the time = 5). The fear was measured using the Fear of COVID-19 Scale (FCV-19S) []. The FCV-19S is a seven-item scale that measures general community fear of COVID-19. There are five alternative responses for each item strongly disagree = 1, disagree = 2, neutral = 3, agree = 4, strongly agree = 5, etc.) There are five alternative responses for each issue, and coping was measured using Brief Resilient Coping Scale (BRCS) []. The BRCS is a four-item scale that assesses resilience, a component of psychological wellness. Each question has a five-point scale, with “does not describe me at all = 1”, “does not describe me = 2”, “neutral = 3”, “describes me = 4”, “describes me very well = 5”. The entire questionnaire, including the study tools, was translated and back-translated from English to Arabic by two independent translators, which were then verified by the study investigators. While the Arabic version of validated K-10 and FCV-19S were readily available to use, the Arabic version of the BRCS was not available, which was translated following the process mentioned above. The tools have been recently examined for reliability and validity, and it was found that these tools are valid and reliable amongst both migrant and non-migrant populations in Australia []. The reliability of those tools, measured as Cronbach’s alpha, showed satisfactory performance in this study (K-10: 0.94, FCV-19S: 0.89, BRCS: 0.74).

2.5. Ethical Considerations

All participants were requested to sign a consent form before filling out the questionnaire to register their willingness to participate. All methods were performed in accordance with the relevant guidelines and regulations of the Declaration of Helsinki. Ethical approval was obtained from the Human Research Ethics Committee in King Fahad Medical City, Saudi Arabia (H-01-R-012).

2.6. Data Analyses

The database was downloaded from Google Forms and analyzed using SPSS v.25. Descriptive analyses were undertaken to describe the study variables. Study outcomes were psychological distress, fear of COVID-19, and coping. High-risk groups were identified by analyzing all the exposure variables data collected in this study. Median values were computed for the continuous variable (age) and each scale (K10, FCV-19S and BRCS) as none of those variables were normally distributed, evidenced by the Kolmogorov–Smirnov test (p > 0.05). Proportions were reported for categorical variables. To conduct inferential analysis, K-10 was defined into low (score 10–15) and moderate to very high (score 16–50), FCV-19S scale was categorized into low (score 7–21) or high (score 22–35) and BRCS into low (score 4–13) and medium to high (score 14–20) resilient coping (14). Cross-tabulation of the factors associated with psychological distress was done by comparing low and moderate to very high distress on the K-10 scale. Factors associated with fear of COVID-19 were identified by comparing low and high fear on the FCV-19S scale, and factors associated with coping were identified by comparing low and medium to high resilient coping on the BRCS scale. Multivariable logistic regression analyses (fulfilling the assumptions of independence of errors, linearity for the continuous variables, absence of multicollinearity and lack of strongly influential outliers) were performed to investigate the factors of moderate to very high distress on the K10 scale, the high level of fear of COVID-19 on the FCV-19S scale, and medium to high resilient coping on the BRCS scale. Statistical significance was determined by p < 0.05. Odds Ratios (ORs), with a 95% confidence interval (CI) used to assess the strength of the association. Adjusted ORs (AORs) indicated adjustment of potential confounding variables.

3. Results

A total of 803 individuals aged ≥18 years living in Saudi Arabia participated in this study. Table 1 presents the characteristics of the participants. More than half of the participants (57.1%) were 18–29 years, and the majority (69.5%) were females, had a bachelor’s degree or above (64.5%), and were living with family (85.8%). More than a third (34.6%) of the participants worked as frontline or essential service workers during the pandemic. Just over a third (33.7%) reported negative financial impact due to COVID-19. Only 16.3% of the participants were current smokers, and more than half (56.5%) of them increased smoking during the pandemic. About a quarter (24.3%) reported pre-existing comorbid conditions, including mental health issues (5.6%). About a tenth (8.2%) of the participants had tested positive for COVID-19, while over a tenth (12%) tested negative. More than a third (36.2%) had close contact with confirmed or suspected COVID-19 cases.
Table 1. Characteristics of the study participants.

3.1. Psychological Distress

Among the study participants, 72% experienced moderate to very high levels of psychological distress (Table 2). After adjusting for the effects of potential confounders, evidence of significant association for moderate to very high psychological distress was observed with age, sex, nationality, perceived distress due to change of employment, the financial impact of COVID-19, having co-morbidities and current smoking (Table 3).
Table 2. Psychological distress among adults during the COVID-19 pandemic in Saudi Arabia.
Table 3. Factors associated with psychological distress among adults in Saudi Arabia.

3.2. Fear of COVID-19

Among the participants, one in 10 (11.1%) demonstrated high levels of fear of COVID-19 (Table 4). In the multivariate analyses, it was found that a high level of fear was significantly associated with perceived distress due to changes in employment situations and smoking status. Individuals with moderate to a great deal of distress due to change in employment were more likely to experience high levels of fear of COVID-19 of 3.42 (95% CI: 1.91–6.11, p < 0.001) compared to individuals who perceived little or no distress. Being an ex-smoker was associated with higher levels of anxiety about COVID-19 compared to those who never smoked (AOR 0.72, 95% CI: 1.14–12.14, p = 0.029) (Table 5).
Table 4. Fear of COVID-19 among adults in Saudi Arabia.
Table 5. Factors associated with the fear of COVID-19 among adults in Saudi Arabia.

3.3. Coping Strategies

Just more than half (55.8%) of the participants had medium to high resilient coping (Table 6). Significant association for high resilience coping was observed with perceived distress due to changes in employment conditions, the economic impact of the COVID-19 pandemic, and contact with known or suspected cases. Individuals who reported a positive (AOR: 1.68, 95% CI: 1.03–2.75, p = 0.038) or negative economic impact (AOR: 1.82, 95% CI: 1.22–2.71, p = 0.003) of COVID-19 were more likely to have medium to high resilient coping. In addition, individuals who had contact with confirmed or suspected COVID-19 cases were more likely to have medium to high resilient coping (AOR: 1.63, 95% CI: 1.12–2.38, p = 0.011). On the other hand, those who perceived distress due to employment changes had low resilient coping (AOR 0.63, 95% CI 0.43–0.92, p = 0.017) (Table 7).
Table 6. Coping during the COVID-19 pandemic in Saudi Arabia.
Table 7. Factors associated with coping with the COVID-19 pandemic in Saudi Arabia.

4. Discussion

This cross-sectional survey was conducted among people in Saudi Arabia. Aspects of psychological distress, fear of COVID-19, and coping strategies were assessed using K10, FCV-19S, and BRCS scales, respectively.
The current study indicated a high percentage (70%) of people who suffered from distress during the pandemic, the prevalence of which was more than double compared to other local research in Saudi Arabia. Alkhamees et al. [] assessed psychological impact during an early stage of the pandemic and showed that a quarter of the participants suffered from moderate to severe psychological impact. Another study [] conducted in May 2020 showed 40% of the general public in Saudi Arabia suffered from psychological distress caused by COVID-19. Thus, as COVID-19 lasted for a prolonged period, more people are expected to have a psychological impact, and more efforts are needed for psychological support. The same observation was noted in a Canadian study that showed a significant increase in stress during the COVID-19 outbreak []. A systematic review showed high levels of psychological distress during the COVID-19 period, with variable rates of anxiety, depression, and stress []. In addition, other factors may play a role in contributing to the increased level of psychological distress in this study, as the previous studies were conducted during the initial months of the pandemic. ‘Infodemic’ could potentially contribute to the heightened distress in this study, which requires further investigations.
In terms of associated factors, age, gender, nationality, perceived distress due to change of employment conditions, the financial impact of COVID-19, and smoking were significantly associated with higher levels of psychological distress. Similar to this study, research conducted in the US during the pandemic showed that women, Hispanics, Asians, families with children under 18, and foreign-born respondents had higher subjective fear and worry levels than their counterparts [].
Individuals aged 18–29 years had higher psychological distress. This result coincides with a report from over 60 countries that found that younger age groups were more vulnerable to the mental health impact of the pandemic []. One explanation of the result could be dependence on inauthentic information received from social media platforms. Marar et al. [] reported that most of the Saudi population used social media platforms when they needed health information. Another study showed that social media had a positive impact on the knowledge of the Saudi population about COVID-19 []. However, it was found that younger individuals were less likely to practice coping methods such as spirituality and mindfulness, which has proved to be a handy tool to control stress and depression [].
In this study, smoking was associated with an AOR of 2.87 of psychological distress during the COVID-19 pandemic. According to evidence, smoking could cause symptoms like depression and anxiety []. In a study from England, there was a significant association between psychological distress and past smoking []. The study showed further deterioration in mental health among smokers during the COVID-19 pandemic. A systematic review showed a bi-directional effect between psychological distress and smoking []. Significantly, research finding indicates that 25% reported increasing smoking more than usual, and 51% smoked the same amount during the COVID-19 pandemic []. It is important to note that a recent study from Saudi Arabia showed a prevalence of cigarette smoking of 21.4% of the population []. Thus, it is essential to have further studies to ameliorate the risk of smoking and mental health in the population, especially during the pandemic.
Additionally, changes in employment conditions and financial challenges were related to a high level of fear from COVID-19 and psychological distress. The economic effect of COVID-19 was well-described worldwide []. In particular, research undertaken in Italy, India, South Africa, the UK and the USA identified that cigarette smokers bought more cigarettes than usual triggered by the fear that stores might run out of stock or be closed because of lockdowns during the pandemic [].
In terms of coping strategies, more than half of the study participants were medium to high resilient copers. According to previous literature, the Saudis have been found to be quite resilient to COVID-19 stress in comparison to other countries experiencing this pandemic with high quality of life scores []. Unlike other places around the world suffering from lack of food and free treatment, unavailable beds in intensive care units, and an insufficient number of doctors, the Saudi government made an extraordinary effort in several areas economics, health, religious, social support, food, and quality of life [].
Individuals in this research who came in contact with confirmed or suspected COVID-19 cases were more likely to have medium to high resilient coping, which could be due to accessing free treatment and an advanced healthcare system in Saudi. In addition, there is a clear relationship between coping strategy and stress outcome []. In one study, religion was one of the most frequent coping strategies among nursing students in Saudi Arabia []. An additional study among healthcare workers in Saudi Arabia showed increased stress levels with a considerable drop in resilient coping scores [].
Saudi Arabia’s Ministry of Health has developed multiple methods to support the wellbeing and mental health of healthcare providers. Smartphone applications, hotlines and committees were available to tackle concerns and worries. It is important to note that different professions and age groups may use different coping strategies. In one study, nurses used avoiding coping styles and positive reappraisal more than doctors: those more than 40 years of age used social support, and those < 40 years of age relied on avoidance of stress management techniques []. Despite positive coping strategies in the health and medical fields, there were limited coping strategies for other essential service workers and general community members who suffered from COVID-19 and may have experienced psychological impacts. Future studies should focus on intervention measuring and programs among the general population in Saudi to identify coping strategies.

5. Study Limitations

This study had a large and representative sample from different categories of frontline workers and the general population and was conducted during the second wave of the pandemic. Findings will assist in having a clear vision for decision-makers to manage psychological distress and fear of COVID-19 with adaptable strategies for Saudi people. However, there are several limitations to this study. The use of an online self-administered questionnaire may have introduced response and recall bias. Additionally, the dissemination of questionnaires through social media platforms for recruitment resulted in having more participants from certain regions than others. The cross-sectional study design limited our ability to infer causations based on the identified statistical associations. In addition, snowball sampling limited the generalizability of study findings to the entire country. Therefore, findings need to be interpreted with caution. However, the study identified the high-risk groups of the population and provided earlier evidence amidst a critical pandemic period. A future large-scale study with a representative sample would validate our study findings. The presence of more females in the study population could be due to the online nature of the study, which does not truly reflect the population composition of Saudi Arabia. Further studies are also needed to address the evolution of the psychological impact of COVID-19 over time and to examine the post-COVID psychological impact in Saudi Arabia.

6. Conclusions

Identification of high-risk groups with increased psychological distress and fear during the current COVID-19 pandemic is critical. Factors identified in this study can strengthen illness prevention by guiding policymakers for such a vulnerable population. Healthcare authorities should monitor young people and smokers about their mental health, and considering a behavioral support program will be invaluable. Those affected by changes in employment and negative financial impacts should be prioritized within the current support services available in Saudi Arabia. Living in a COVID-safe environment and adopting a lifestyle supporting both physical and mental wellbeing during the pandemic era is warranted in Saudi Arabia.

Author Contributions

Conceptualization, T.A.F.A. and M.A.R.; methodology, T.A.F.A., A.A.B.A., I.M., M.A.R. and S.M.S.I.; software, T.A.F.A., M.A.R. and S.M.S.I.; validation, T.A.F.A., M.A.R. and S.M.S.I.; formal analysis, T.A.F.A., A.A.B.A., I.M., R.J.A., M.A.R. and S.M.S.I.; investigation, T.A.F.A., A.A.B.A., I.M., R.J.A., M.A.R., S.M.S.I., S.A., A.E.M., A.A., L.N.M., J.A.A.-T., A.A.A., M.B., S.G. and L.I.A.; resources, T.A.F.A., A.A.B.A., I.M., R.J.A., M.A.R. and S.M.A.; data curation, T.A.F.A., A.A.B.A., I.M., R.J.A., M.A.R., S.M.S.I., S.A., A.E.M., A.A., L.N.M., J.A.A.-T., A.A.A., M.B., S.G. and L.I.A.; writing—original draft preparation, T.A.F.A., A.A.B.A., I.M., R.J.A., M.A.R. and S.M.S.I.; writing—review and editing, T.A.F.A., J.A.A.-T., S.M.S.I., S.M.A., F.S., M.S., B.B., W.C. and M.A.R.; visualization, T.A.F.A. and M.A.R.; supervision, M.A.R., S.M.S.I. and W.C. Project administration, T.A.F.A.; funding acquisition, T.A.F.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Ethical approval was obtained from the Human Research Ethics Committee in King Fahad Medical City, Saudi Arabia (H-01-R-012). Each study participant read the consent form along with a plain-language summary and ticked their consent in the online form prior to accessing the study questionnaire. All methods were performed in accordance with the relevant guidelines and regulations of the Declaration of Helsinki.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Acknowledgments

The researchers would like to thank the Deanship of Scientific Research, Qassim University, for funding the publication of this project.

Conflicts of Interest

The authors declare that there is no conflict of interest.

References

  1. World Health Organization. WHO Coronavirus Disease (COVID-19) Dashboard. 2021. Available online: https://covid19.who.int (accessed on 31 March 2021).
  2. Kola, L.; Kohrt, B.A.; Hanlon, C.; Naslund, J.A.; Sikander, S.; Balaji, M.; Benjet, C.; Cheung, E.Y.L.; Eaton, J.; Gonsalves, P.; et al. COVID-19 mental health impact and responses in low-income and middle-income countries: Reimagining global mental health. Lancet Psychiatry 2021, 8, 535–550. [Google Scholar] [CrossRef] [PubMed]
  3. Al-Tawfiq, J.A.; Memish, Z.A. COVID-19 in the Eastern Mediterranean Region and Saudi Arabia: Prevention and therapeutic strategies. Int. J. Antimicrob. Agents 2020, 55, 105968. [Google Scholar] [CrossRef]
  4. Algaissi, A.A.; Alharbi, N.K.; Hassanain, M.; Hashem, A.M. Preparedness and response to COVID-19 in Saudi Arabia: Building on MERS experience. J. Infect. Public Health 2020, 13, 834–838. [Google Scholar] [CrossRef]
  5. Alahdal, H.; Basingab, F.; Alotaibi, R. An analytical study on the awareness, attitude and practice during the COVID-19 pandemic in Riyadh, Saudi Arabia. J. Infect. Public Health 2020, 13, 1446–1452. [Google Scholar] [CrossRef]
  6. Khan, A.A.; Alahdal, H.M.; Alotaibi, R.M.; Sonbol, H.S.; Almaghrabi, R.H.; Alsofayan, Y.M.; Althunayyan, S.M.; Alsaif, F.A.; Almudarra, S.S.; Alabdulkareem, K.I.; et al. Controlling COVID-19 Pandemic: A Mass Screening Experience in Saudi Arabia. Front. Public Health 2021, 8, 606385. [Google Scholar] [CrossRef] [PubMed]
  7. Hassounah, M.; Raheel, H.; Alhefzi, M. Digital response during the COVID-19 pandemic in Saudi Arabia. J. Med. Internet Res. 2020, 22, e19338. [Google Scholar] [CrossRef] [PubMed]
  8. Rubin, G.J.; Wessely, S. The psychological effects of quarantining a city. BMJ 2020, 368, m313. [Google Scholar] [CrossRef]
  9. Shigemura, J.; Ursano, R.J.; Morganstein, J.C.; Kurosawa, M.; Benedek, D.M. Public responses to the novel 2019 coronavirus (2019-nCoV) in Japan: Mental health consequences and target populations. Psychiatry Clin. Neurosci. 2020, 74, 281–282. [Google Scholar] [CrossRef]
  10. Wang, J.-L.; Zheng, X.-H.; Lan, Y.; Zhang, X.-W.; Xu, Y.-Y.; Shen, J. Public Responses to the Novel 2019 Coronavirus (COVID-19) in China: Mental Health Consequences. J. Emerg. Manag. Disaster Commun. 2020, 1, 39–47. [Google Scholar] [CrossRef]
  11. Brooks, S.K.; Webster, R.K.; Smith, L.E.; Woodland, L.; Wessely, S.; Greenberg, N.; Rubin, G.J. The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. Lancet 2020, 395, 912–920. [Google Scholar] [CrossRef]
  12. Newby, J.M.; O’Moore, K.; Tang, S.; Christensen, H.; Faasse, K. Acute mental health responses during the COVID-19 pandemic in Australia. PLoS ONE 2020, 15, e0236562. [Google Scholar] [CrossRef]
  13. Rahman, M.A.; Hoque, N.; Alif, S.M.; Salehin, M.; Islam, S.M.S.; Banik, B.; Sharif, A.; Nazim, N.B.; Sultana, F.; Cross, W. Factors associated with psychological distress, fear and coping strategies during the COVID-19 pandemic in Australia. BMC Glob. Health 2020, 16, 95. [Google Scholar] [CrossRef]
  14. Rahman, M.A.; Islam, S.M.S.; Tungpunkom, P.; Sultana, F.; Alif, S.M.; Banik, B.; Salehin, M.; Joseph, B.; Lam, L.; Watts, M.C.; et al. COVID-19: Factors associated with psychological distress, fear, and coping strategies among community members across 17 countries. Glob. Health 2021, 17, 117. [Google Scholar] [CrossRef] [PubMed]
  15. Depoux, A.; Martin, S.; Karafillakis, E.; Preet, R.; Wilder-Smith, A.; Larson, H. The pandemic of social media panic travels faster than the COVID-19 outbreak. J. Travel Med. 2020, 27, taaa031. [Google Scholar] [CrossRef]
  16. Chan, E.Y.; Cheng, C.K.; Tam, G.; Huang, Z.; Lee, P. Knowledge, attitudes, and practices of Hong Kong population towards human A/H7N9 influenza pandemic preparedness, China, 2014. BMC Public Health 2015, 15, 943. [Google Scholar] [CrossRef] [PubMed]
  17. Wu, P.; Fang, Y.; Guan, Z.; Fan, B.; Kong, J.; Yao, Z.; Liu, X.; Fuller, C.J.; Susser, E.; Lu, J.; et al. The psychological impact of the SARS epidemic on hospital employees in China: Exposure, risk perception, and altruistic acceptance of risk. Can. J. Psychiatry 2009, 54, 302–311. [Google Scholar] [CrossRef]
  18. Jassim, G.; Jameel, M.; Brennan, E.; Yusuf, M.; Hasan, N.; Alwatani, Y. Psychological Impact of COVID-19, Isolation, and Quarantine: A Cross-Sectional Study. Neuropsychiatr. Dis. Treat. 2021, 17, 1413–1421. [Google Scholar] [CrossRef]
  19. Saravanan, C.; Mahmoud, I.; Elshami, W.; Taha, M.H. Knowledge, anxiety, fear, and psychological distress about COVID-19 among university students in the United Arab Emirates. Front. Psychiatry 2020, 11, 582189. [Google Scholar] [CrossRef]
  20. Albagmi, F.M.; AlNujaidi, H.Y.; Al Shawan, D.S. Anxiety Levels Amid the COVID-19 Lockdown in Saudi Arabia. Int. J. Gen. Med. 2021, 14, 2161–2170. [Google Scholar] [CrossRef] [PubMed]
  21. Al-Hanawi, M.K.; Mwale, M.L.; Alshareef, N.; Qattan, A.M.; Angawi, K.; Almubark, R.; Alsharqi, O. Psychological distress amongst health workers and the general public during the COVID-19 pandemic in Saudi Arabia. Risk Manag. Healthc. Policy 2020, 13, 733–742. [Google Scholar] [CrossRef]
  22. Temsah, M.H.; Al-Sohime, F.; Alamro, N.; Al-Eyadhy, A.; Al-Hasan, K.; Jamal, A.; Al-Maglouth, I.; Aljamaan, F.; Al Amri, M.; Barry, M.; et al. The psychological impact of COVID-19 pandemic on health care workers in a MERS-CoV endemic country. J. Infect. Public Health 2020, 13, 877–882. [Google Scholar] [CrossRef]
  23. Arafa, A.; Mohammed, Z.; Mahmoud, O.; Elshazley, M.; Ewis, A. Depressed, anxious, and stressed: What have healthcare workers on the frontlines in Egypt and Saudi Arabia experienced during the COVID-19 pandemic? J. Affect. Disord. 2021, 278, 365–371. [Google Scholar] [CrossRef]
  24. Rahman, M.A.; Salehin, M.; Islam, S.M.S.; Alif, S.M.; Sultana, F.; Sharif, A.; Hoque, N.; Nazim, N.B.; Cross, W.M. Reliability of the tools used to examine psychological distress, fear of COVID-19 and coping amongst migrants and non-migrants in Australia. Int. J. Ment. Health Nurs. 2021, 30, 745–756. [Google Scholar] [CrossRef]
  25. Worldometer. Saudi Arabia Population (LIVE). Population of Saudi Arabia (2020 and Historical). 2022. Available online: https://www.worldometers.info/world-population/saudi-arabia-population/ (accessed on 31 July 2022).
  26. Furukawa, T.A.; Kessler, R.C.; Slade, T.; Andrews, G. The performance of the K6 and K10 screening scales for psychological distress in the Australian National Survey of Mental Health and Well-Being. Psychol. Med. 2003, 3, 357–362. [Google Scholar] [CrossRef]
  27. Ahorsu, D.K.; Lin, C.-Y.; Imani, V.; Saffari, M.; Griffiths, M.D.; Pakpour, A.H. The fear of COVID-19 scale: Development and initial validation. Int. J. Ment. Health Addict. 2020, 27, 1537–1545. [Google Scholar] [CrossRef] [PubMed]
  28. Sinclair, V.G.; Wallston, K.A. The development and psychometric evaluation of the Brief Resilient Coping Scale. Assessment 2004, 11, 94–101. [Google Scholar] [CrossRef] [PubMed]
  29. Alkhamees, A.A.; Alrashed, S.A.; Alzunaydi, A.A.; Almohimeed, A.S.; Aljohani, M.S. The psychological impact of COVID-19 pandemic on the general population of Saudi Arabia. Compr. Psychiatry 2020, 102, 152192. [Google Scholar] [CrossRef] [PubMed]
  30. Fitzpatrick, K.M.; Drawve, G.; Harris, C. Facing new fears during the COVID-19 pandemic: The State of America’s mental health. J. Anxiety Disord. 2020, 75, 102291. [Google Scholar] [CrossRef]
  31. Santabárbara, J.; Lasheras, I.; Lipnicki, D.M.; Bueno-Notivol, J.; Pérez-Moreno, M.; López-Antón, R.; De la Cámara, C.; Lobo, A.; Gracia-García, P. Prevalence of anxiety in the COVID-19 pandemic: An updated meta-analysis of community-based studies. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 2021, 109, 110207. [Google Scholar] [CrossRef]
  32. Cheung, A.; Cheng, P.C.; Fong, T.K.; Sharew, N.T.; Anders, R.L.; Xiang, Y.T.; Lam, S.C. Preparedness and response to COVID-19 in Saudi Arabia: Building on MERS experience. Public Health Front. 2022, 11, 558. [Google Scholar] [CrossRef]
  33. Marar, S.D.; Al-Madaney, M.M.; Almousawi, F.H. Health information on social media.: Perceptions, attitudes, and practices of patients and their companions. Saudi Med. J. 2019, 40, 1294–1298. [Google Scholar] [CrossRef]
  34. Alnasser, A.H.A.; Al-Tawfiq, J.A.; Al Kalif, M.S.H.; Alobaysi, A.M.A.; Al Mubarak, M.H.M.; Alturki, H.N.H.; Alharbi, A.A.A.; Albahrani, R.S.S.; Sultan, S.A.; AlHamad, A.R.N. The positive impact of social media on the level of COVID-19 awareness in Saudi Arabia: A web-based cross-sectional survey. Le Infez. Med. 2020, 28, 545–550. [Google Scholar]
  35. Matiz, A.; Fabbro, F.; Crescentini, C. Single vs. group mindfulness meditation: Effects on personality, religiousness/spirituality, and mindfulness skills. Mindfulness 2018, 9, 1236–1244. [Google Scholar] [CrossRef]
  36. Fluharty, M.; Taylor, A.E.; Grabski, M.; Munafò, M. The association of cigarette smoking with depression and anxiety: A systematic review. Nicotine Tob. Res. 2016, 19, 102291. [Google Scholar] [CrossRef] [PubMed]
  37. Kock, L.; Brown, J.; Shahab, L.; Moore, G.; Horton, M.; Brose, L. Smoking, distress and COVID-19 in England: Cross-sectional population surveys from 2016 to 2020. Prev. Med. Rep. 2021, 23, 606385. [Google Scholar] [CrossRef]
  38. Chen, D.T.-H. The psychosocial impact of the COVID-19 pandemic on changes in smoking behavior: Evidence from a nationwide survey in the UK. Tob. Prev. Cessat. 2020, 6, 59. [Google Scholar] [CrossRef]
  39. Algabbani, A.M.; Almubark, R.; Althumiri, N.; Alqahtani, A.; BinDhim, N. The Prevalence of Cigarette Smoking in Saudi Arabia in 2018. Food Drug Regul. Sci. J. 2018, 1, 1–12. [Google Scholar] [CrossRef]
  40. Ceylan, R.F.; Ozkan, B.; Mulazimogullari, E. Historical evidence for economic effects of COVID-19. Eur. J. Health Econ. 2020, 21, 817–823. [Google Scholar] [CrossRef]
  41. Yach, D. Tobacco use patterns in five countries during the COVID-19 lockdown. Nicotine Tob. Res. 2020, 6, 1671–1672. [Google Scholar] [CrossRef] [PubMed]
  42. Alyami, M.; de Albuquerque, J.V.; Krägeloh, C.U.; Alyami, H.; Henning, M.A. Effects of fear of COVID-19 on mental well-being and quality of life among Saudi adults: A path analysis. Saudi J. Med. Med. Sci. 2021, 9, 24–30. [Google Scholar] [CrossRef] [PubMed]
  43. Girma, A.; Ayalew, E.; Mesafint, G. Covid-19 Pandemic-Related Stress and Coping Strategies Among Adults with Chronic Disease in Southwest Ethiopia. Neuropsychiatr. Dis. Treat. 2021, 17, 1551–1561. [Google Scholar] [CrossRef] [PubMed]
  44. Alsolais, A.; Alquwez, N.; Alotaibi, K.A.; Alqarni, A.S.; Almalki, M.; Alsolami, F.; Almazan, J.; Cruz, J.P. Risk perceptions, fear, depression, anxiety, stress and coping among Saudi nursing students during the COVID-19 pandemic. J. Ment. Health 2021, 30, 194–201. [Google Scholar] [CrossRef] [PubMed]
  45. Temsah, M.H.; Alenezi, S.; Alarabi, M.; Aljamaan, F.; Alhasan, K.; Assiri, R.; Bassrawi, R.; Alshahrani, F.; Alhaboob, A.; Alaraj, A.; et al. Healthcare workers’ SARS-CoV-2 Omicron variant uncertainty-related stress, resilience, and coping strategies during the first week of the World Health Organization’s alert. Int. J. Environ. Res. Public Health 2022, 19, 1944. [Google Scholar] [CrossRef] [PubMed]
  46. Salopek-Žiha, D.; Hlavati, M.; Gvozdanović, Z.; Gašić, M.; Placento, H.; Jakić, H.; Klapan, D.; Šimić, H. Differences in distress and coping with the COVID-19 stressor in nurses and physicians. Psychiatr. Danub. 2020, 32, 287–293. [Google Scholar] [CrossRef] [PubMed]
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