Volume 10, Issue 1 (Autumn 2024)                   Health in Emergencies and Disasters Quarterly 2024, 10(1): 37-48 | Back to browse issues page

Ethics code: IR.USWR.REC.1400.145


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Abolfathi Momtaz Y, Zanjari N, Delbari A, Foroughan M. Psychological Impacts of COVID-19 on the General Population of Iran. Health in Emergencies and Disasters Quarterly 2024; 10 (1) :37-48
URL: http://hdq.uswr.ac.ir/article-1-598-en.html
1- Malaysian Research Institute on Ageing (MyAgeing), Universiti Putra Malaysia, Serdang, Malaysia., Evin, Kodakyar
2- Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran. , Zanjari.nz@gmail.com
3- Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran., Evin, Kodakyar
Full-Text [PDF 546 kb]   (168 Downloads)     |   Abstract (HTML)  (600 Views)
Full-Text:   (77 Views)
Introduction 
Apneumonia-like disease with unknown etiology was identified on December 31, 2019, in Wuhan, China, which infected many people. A novel coronavirus (2019-nCoV) was introduced as the causing agent for this type of pneumonia [1]. The infection rate of the disease was high, creating many concerns, especially for the vulnerable people, since the first case of death due to this disease was a 61-year-old Chinese person [2]. On March 11, 2020, the COVID-19 virus spread globally, infecting many people in the world such that the World Health Organization (WHO) declared it as a pandemic [3]. The symptoms of COVID-19 were variable, ranging from mild symptoms to acute sickness [4]. At the time of writing this article (March 5, 2023), three years after the first wave, 680,610,521 people around the world had contracted the virus, and 6,805,012 people died. Multiple waves of this pandemic were later experienced in different countries, and new cases are still being diagnosed in some countries [5].
With the spread of the COVID-19, the WHO emphasized the importance of home quarantine and social distancing, which led to a significant reduction in social activities. These changes affected all age groups [6]. It also affected the access to food, occupational activities, and financial security [7]. Many behavioral changes had positive impact in different countries. Although these preventive measures were useful for physical health, they were not able to mitigate the negative effect of COVID-19 on mental health of people. The prolongation of the pandemic and the measures such as home quarantine caused mental health problems which can lead to more significant psychological problems, if neglected [8, 9]. The mental health consequences of COVID-19 have been reported in different countries [10-12]. These consequences included depression, anxiety, loneliness, isolation, post-traumatic stress disorder, boredom, obsession, anger, prolonged grief disorder, and sleeping problems [10-16]. The findings of a meta-analysis study showed that the global prevalence of depression and anxiety among adults and children during the COVID-19 pandemic were 25.2% and 20.5%, respectively. These symptoms were more prevalent among women and older adults [17]. In another study, the symptoms of anxiety were more frequent among COVID-19 patients (39.6%) than the general population. Furthermore, the prevalence of anxiety were more in the general population of countries in Africa (61.8%) than America (34.9%), European (30.7%), and Asian (24.5%) countries [18]. In addition to depression and anxiety, irritability and anger were also highly prevalent during the COVID-19 pandemic [19]. Demographic variables, such as gender, age, ethnicity, educational level, marital status, and occupational status, can affect the mental health consequences of COVID-19 [20]. 
Iran was also one of the countries affected by COVID-19. At the time of writing this article, 7,569,769 infection cases and 144,878 deaths had been reported in Iran. Identifying the mental health consequences of the COVID-19 pandemic in Iran can help with planning for controlling negative impact of future pandemics in the country. Therefore, current study aims to examine the mental health consequences of the COVID-19 pandemic for the general population of Iran. 

Materials and Methods

Study design and samples

This is a cross-sectional survey that was conducted on Iranian people from all 31 provinces (Table 1). A convenience sampling method was used for sampling. The inclusion criteria were being Iranian citizen, and willingness to complete the questionnaires. Exclusion criteria were the return of incomplete questionnaire, or duplicate questionnaires. To determine the sample size, Cochran’s formula was utilized. Considering the diversity in the prevalence of psychological disorders caused by COVID-19, a prevalence rate of 50% was determined. At a confidence level of 95% and considering a precision of 97%, the sample size was obtained as 1067. Since the sampling process was not randomized, the obtained value was multiplied by 1.5. Then, considering a share of 10% for non-completed questionnaires, the final sample size was set at 1760. 



Data collection tool
To collect data, an online questionnaire was prepared on the Cafe Pardazesh website. It included two sections measuring demographic characteristics and perceived feelings during the COVID-19 pandemic. The demographic characteristics included gender, age, place of residence, level of education, marital status, and employment status. The perceived feelings during the COVID-19 pandemic were measured using the self-report scale designed based on Reynolds et al.’s study [21]. This scale was translated from English to Persian. Then, a panel of experts including five psychologists and psychiatrics evaluated the content validity and the relevancy of translated scale for the Iranian samples during the COVID-19 pandemic. Also, the tool was sent to 10 people from of general population to confirm the clarity of items. These feelings included anger, annoyance, fear, guilt, happiness, helplessness, loneliness, nervousness, sadness, frustration, agitation, boredom, nostalgia (wistful affection for the past), worry, and relief.
The online questionnaire distributed throughout the country with the help of a representative selected from each province. The representative shared the link of the questionnaire on social networks. The data collection started from April 21 to June 21, 2021. About 1041(57%) of the questionnaires were completed during the first half of this period, while 639(35%) were completed during the second half. 

Statistical analysis 
Of 1827 questionnaires. 92 were excluded due to being incomplete. Finally, the data of 1735 questionnaires were analyzed. The descriptive statistics (frequency and percentage) and inferential statistics (chi-square test and independent t-test) were used for data analysis in SPSS software, version 22. The significance level was set at 0.05.

Results 
The mean age of the respondents was 34.62±11.86 years. Among participants, 1337(77.1%) were female, 660(38%) had a bachelor’s degree, and 1031(59.4) were married. The demographic characteristics of the respondents are presented in Table 2



The most frequent feeling experienced by the respondents during the COVID-19 pandemic was boredom (44.0%), followed by nostalgia (40.6%), worry (35.3%), nervousness (34.1%), and fear (33.3%). Moreover, 8.2% of the participants had experienced relief and 9.3% happiness (Table 3). 



Table 4 presents the frequency of feelings based on gender. The results from the chi-square test showed a significant difference in the perceived feelings in terms of gender, where women experienced significantly more fear, sadness, nostalgia, nervousness, helplessness, and frustration compared to men. 



Table 5 shows the frequency of feelings based on age. As can be seen, people with a higher mean age experienced significantly lower levels of anger, annoyance, fear, guilt, happiness, helplessness, loneliness, nervousness, sadness, frustration, agitation, boredom, and nostalgia. 



Table 6 presents the frequency of feelings based on educational level. The results revealed a significant difference in the feelings of annoyance, guilt, happiness, helplessness, agitation, and worry in terms of educational level.



Table 7 shows the frequency of feelings based on employment status. The results from chi-square test showed that employed people experienced significantly lower levels of perceived feelings compared to unemployed people.



According to the results in Table 8, those living in the city experienced significantly higher levels of anger, helplessness, sadness, frustration, agitation, nostalgia, worry, and relief, compared to those living in rural areas.



Table 9 shows the frequency of feelings based on marital status. As can be seen, married people experienced significantly lower levels of perceived feelings compared to unmarried people.



Discussion
At the global level, the focus of studies related to COVID-19 has been on clinical symptoms and physical effects of the disease as well as the development of different vaccines. The psychological effects of this disease are also important, since psychological disorders may remain for a long time and create changes in the lifestyle. As a result, the main objective of the current study was to evaluate and explore the mental health consequences of COVID-19 for Iranian people. 
Based on the findings, the most frequent feelings experienced by the respondents during the COVID-19 pandemic included boredom, nostalgia, and worry. Other studies performed in Asian countries, including India [22], Philippines [23], China [24], and Saudi Arabia [25], have reported different prevalence rates of psychological disorders. In these studies, the prevalence of depression were reported as about 10, 13, 27, and 22%, respectively, while the prevalence of anxiety were about 29, 8, 22, and 20%, respectively. Also a study in Iran showed that 15% and 20% of the general population had depressive and anxiety symptoms during the COVID-19 pandemic, respectively [26]. Despite the difference in the prevalence rate, the type of measurement tools, and psychological disorders, the majority of studies has indicated the increase in the level of negative feelings and emotions during the pandemic. Although depression and anxiety were not evaluated in the current study, the reported perceived feelings such as helplessness and sadness can be a symptom of depression and anxiety. Therefore, it can be consistent with the findings of the studies conducted in China and Saudi Arabia. In addition to the fatal nature of the disease and the fear of the infection, the prevalence of negative feelings can be due to the restrictions in social gatherings and the spread of numerous false news about the virus in mass media and online social networks [27]. 
A study in India [22] reported that some people experienced positive emotions as well during the quarantine, resulting in better relationships with family members. In the current study, the feeling of happiness was not prevalent; however, it was reported more significantly among individuals with lower educational levels. This may be because of spending more time with family. Nonetheless, the individuals with lower levels of education reported higher levels of annoyance. While spending more time with family can bring happiness, the lower capacity for resolving family issues can result in higher levels of annoyance among family members including spouses, parents or children. 
Moreover, the findings showed that the employed people had lower levels of negative feelings during the pandemic, while people who were not working (due to the business closure) perceived higher level of negative feelings, which can have long-term effects on them since they need welfare support from the government during this period until returning to their jobs [28]. In the current study, women had significantly higher levels of fear, sadness, and helplessness compared to men, which consistent with other studies [23, 27] and can be due to the reduced level of social interactions and emotional support during the pandemic. Some studies in Iran which investigated the psychological impact of COVID-19 in the general population or infected patients, reported that the anxiety level was higher in men while depression level was higher in women [29, 30]. Consistent with some studies [23, 26] and in disagreement with some other studies [31], the reported levels of perceived negative feelings decreased with the increase of age. This can be because ageing is accompanied by the increased experience of different adverse events and having financial security and lower fear of death by COVID-19. 
The findings also showed that married people had lower levels of negative feelings compared to unmarried people, indicating the buffering effect of social support from the spouse during crises [26, 32]. The pandemic had more significant negative psychological impact on unmarried people, which requires psychological interventions after the pandemic to prevent the continuation of these effects. Furthermore, people living in cities perceived more negative feelings compared to those living in rural areas, may be because COVID-19 spread more in cities. 
The prevalence of mental health problems has been more significant during the COVID-19 pandemic compared to previous pandemics, such as severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). This necessitates a more serious focus on psychological interventions and rehabilitation. Some studies claimed that people with better health literacy or health status had lower anxiety during the COVID-19 pandemic [33, 34]. This can be recommended in policymaking for future pandemics, especially for vulnerable groups such as female, unmarried, or unemployed people. 
Considering the limitations of the current study including cross-sectional design and the use of an online self-report questionnaire, longitudinal studies are recommended using specific screening tools to analyze the long-term mental health problems during the COVID-19 pandemic. Moreover, most of participants were female, since women are more likely to participate in online surveys [35]. this bias of response and sampling can affect the results. 

Conclusion 
Considering the prevalence of perceived negative feelings among Iranian people during the COVID-19 pandemic, particularly among female, unmarried, and unemployed people, there is a need to provide more support and psychological interventions to people during and after the pandemics in Iran which is suffering from shortage of medicines and equipment due to economic sanctions which highlights the need for social support and interventions to increase resilience of people in future pandemics. 

Ethical Considerations

Compliance with ethical guidelines

After explaining the study objectives to the participants and ensuring the confidentiality of their information, informed consent was obtained from them. The study was approved by the Research Ethics Committee of the University of Social welfare and Rehabilitation Sciences (Code: IR.USWR.REC.1400.145).

Funding
This research did not receive any grant from funding agencies in the public, commercial, or non-profit sectors.

Authors' contributions
Conceptualization: Yadollah Abolfathi Momtaz and Nasibeh Zanjari; Methodology and formal analysis: Yadollah Abolfathi Momtaz; Writing and final approval: All authors.

Conflict of interest
The authors declared no conflict of interest.

Acknowledgments
Thank to all the study participants who contributed to this research study.




References
  1. Lu R, Zhao X, Li J, Niu P, Yang B, Wu H, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: Implications for virus origins and receptor binding. The Lancet. 2020; 395(10224):565-74. [DOI:10.1016/S0140-6736(20)30251-8] [PMID]
  2. Sun P, Lu X, Xu C, Sun W, Pan B. Understanding of COVID-19 based on current evidence. Journal of Medical Virology. 2020; 92(6):548-51. [DOI:10.1002/jmv.25722] [PMID] [PMCID]
  3. Caicedo-Ochoa Y, Rebellón-Sánchez DE, Peñaloza-Rallón M, Cortés-Motta HF, Méndez-Fandiño YR. Effective reproductive number estimation for initial stage of covid-19 pandemic in Latin American Countries. International Journal of Infectious Diseases. 2020; 95:316-8. [DOI:10.1016/j.ijid.2020.04.069] [PMID] [PMCID]
  4. Kaeuffer C, Le Hyaric C, Fabacher T, Mootien J, Dervieux B, Ruch Y, et al. Clinical characteristics and risk factors associated with severe COVID-19: Prospective analysis of 1,045 hospitalised cases in North-Eastern France, March 2020. Euro Surveillance. 2020; 25(48):2000895. [DOI:10.2807/1560-7917.ES.2020.25.48.2000895] [PMID] [PMCID]
  5. Worldometers. Covid-19 coronavirus pandemic 2022 [internet]. 2022. [Updated 2022 December 10]. Available from: [Link]
  6. Bentlage E, Ammar A, How D, Ahmed M, Trabelsi K, Chtourou H, et al. Practical recommendations for maintaining active lifestyle during the COVID-19 pandemic: A systematic literature review. International Journal of Environmental Research and Public Health. 2020; 17(17):6265. [DOI:10.3390/ijerph17176265] [PMID] [PMCID]
  7. Di Renzo L, Gualtieri P, Pivari F, Soldati L, Attinà A, Cinelli G, et al. Eating habits and lifestyle changes during COVID-19 lockdown: An Italian survey. Journal of Translational Medicine. 2020; 18(1):229. [DOI:10.1186/s12967-020-02399-5] [PMID] [PMCID]
  8. Ashcroft P, Lehtinen S, Angst DC, Low N, Bonhoeffer S. Quantifying the impact of quarantine duration on COVID-19 transmission. Elife. 2021; 10:e63704. [DOI:10.7554/eLife.63704] [PMID] [PMCID]
  9. Saurabh K, Ranjan S. Compliance and psychological impact of quarantine in children and adolescents due to Covid-19 pandemic. The Indian Journal of Pediatrics. 2020; 87(7):532-6. [DOI:10.1007/s12098-020-03347-3] [PMID] [PMCID]
  10. Sharma P, Sharma R. Impact of covid-19 on mental health and aging. Saudi Journal of Biological Sciences. 2021; 28(12):7046-53. [DOI:10.1016/j.sjbs.2021.07.087] [PMID] [PMCID]
  11. Viner R, Russell S, Saulle R, Croker H, Stansfield C, Packer J, et al. School closures during social lockdown and mental health, health behaviors, and well-being among children and adolescents during the first covid-19 wave: A systematic review. JAMA Pediatrics. 2022; 176(4):400-9. [DOI:10.1001/jamapediatrics.2021.5840] [PMID]
  12. Yan Y, Du X, Lai L, Ren Z, Li H. Prevalence of depressive and anxiety symptoms among Chinese older adults during the COVID-19 pandemic: A systematic review and meta-analysis. Journal of Geriatric Psychiatry and Neurology. 2022; 35(2):182-95. [DOI:10.1177/08919887221078556] [PMID] [PMCID]
  13. Yunitri N, Chu H, Kang XL, Jen HJ, Pien LC, Tsai HT, et al. Global prevalence and associated risk factors of posttraumatic stress disorder during COVID-19 pandemic: A meta-analysis. International Journal of Nursing Studies. 2022; 126:104136. [DOI:10.1016/j.ijnurstu.2021.104136] [PMID] [PMCID]
  14. Zhang X, Shi X, Wang Y, Jing H, Zhai Q, Li K, et al. Risk factors of psychological responses of Chinese university students during the COVID-19 outbreak: Cross-sectional web-based survey study. Journal of Medical Internet Research. 2021; 23(7):e29312. [DOI:10.2196/29312] [PMID] [PMCID]
  15. Sepúlveda-Loyola W, Rodríguez-Sánchez I, Pérez-Rodríguez P, Ganz F, Torralba R, Oliveira DV, et al. Impact of Social Isolation Due to COVID-19 on Health in Older People: Mental and physical effects and recommendations. The Journal of Nutrition, Health & Aging. 2020; 24(9):938-47. [PMID]
  16. Wang X, Wong YD, Yuen KF. Rise of ‘Lonely’ consumers in the post-covid-19 era: A synthesised review on psychological, commercial and social implications. International Journal of Environmental Research and Public Health. 2021; 18(2):404.[DOI:10.3390/ijerph18020404] [PMID] [PMCID]
  17. Racine N, McArthur BA, Cooke JE, Eirich R, Zhu J, Madigan S. Global prevalence of depressive and anxiety symptoms in children and adolescents during covid-19: A meta-analysis. JAMA Pediatrics. 2021; 175(11):1142-50. [DOI:10.1001/jamapediatrics.2021.2482] [PMID] [PMCID]
  18. Pashazadeh Kan F, Raoofi S, Rafiei S, Khani S, Hosseinifard H, Tajik F, et al. A systematic review of the prevalence of anxiety among the general population during the COVID-19 pandemic. Journal of Affective Disorders. 2021; 293:391-8.[DOI:10.1016/j.jad.2021.06.073] [PMID] [PMCID]
  19. Panchal U, Salazar de Pablo G, Franco M, Moreno C, Parellada M, Arango C, et al. The impact of COVID-19 lockdown on child and adolescent mental health: Systematic review. European Child and Adolescent Psychiatry. 2023; 32(7):1151-77. [DOI:10.1007/s00787-021-01856-w] [PMID] [PMCID]
  20. Carlucci L, D'Ambrosio I, Balsamo M. Demographic and attitudinal factors of adherence to quarantine guidelines during COVID-19: The Italian model. Frontiers in Psychology. 2020; 11:559288. [DOI:10.3389/fpsyg.2020.559288] [PMID] [PMCID]
  21. Reynolds DL, Garay JR, Deamond SL, Moran MK, Gold W, Styra R. Understanding, compliance and psychological impact of the SARS quarantine experience. Epidemiology & Infection. 2008; 136(7):997-1007. [DOI:10.1017/S0950268807009156] [PMID] [PMCID]
  22. Grover S, Sahoo S, Mehra A, Avasthi A, Tripathi A, Subramanyan A, et al. Psychological impact of COVID-19 lockdown: An online survey from India. Indian Journal of Psychiatry. 2020; 62(4):354-62. [DOI:10.4103/psychiatry.IndianJPsychiatry_427_20] [PMID] [PMCID]
  23. Tee ML, Tee CA, Anlacan JP, Aligam KJG, Reyes PWC, Kuruchittham V, et al. Psychological impact of COVID-19 pandemic in the Philippines. Journal of Affective Disorders. 2020; 277:379-91. [DOI:10.1016/j.jad.2020.08.043] [PMID] [PMCID]
  24. Bareeqa SB, Ahmed SI, Samar SS, Yasin W, Zehra S, Monese GM, et al. Prevalence of depression, anxiety and stress in china during COVID-19 pandemic: A systematic review with meta-analysis. The International Journal of Psychiatry in Medicine. 2021; 56(4):210-27. [DOI:10.1177/0091217420978005] [PMID]
  25. Joseph R, Lucca JM, Alshayban D, Alshehry YA. The immediate psychological response of the general population in Saudi Arabia during COVID-19 pandemic: A cross-sectional study. Journal of Infection and Public Health. 2021; 14(2):276-83. [DOI:10.1016/j.jiph.2020.11.017] [PMID] [PMCID]
  26. Shahriarirad R, Erfani A, Ranjbar K, Bazrafshan A, Mirahmadizadeh A. The mental health impact of COVID-19 outbreak: A Nationwide Survey in Iran. International Journal of Mental Health Systems. 2021; 15(1):19. [DOI:10.1186/s13033-021-00445-3] [PMID] [PMCID]
  27. Moghanibashi-Mansourieh A. Assessing the anxiety level of Iranian general population during COVID-19 outbreak. Asian Journal of Psychiatry. 2020; 51:102076. [DOI:10.1016/j.ajp.2020.102076] [PMID] [PMCID]
  28. Shah SMA, Mohammad D, Qureshi MFH, Abbas MZ, Aleem S. Prevalence, psychological responses and associated correlates of depression, anxiety and stress in a global population, during the coronavirus disease (COVID-19) pandemic. Community Mental Health Journal. 2021; 57(1):101-10. [DOI:10.1007/s10597-020-00728-y] [PMID] [PMCID]
  29. Mohammadi SM, Ashtari S, Khosh Fetrat M. The psychological impact of covid-19 pandemic on mental health of iranian population. International Journal of Travel Medicine and Global Health. 2021; 9(1):19-24. [DOI:10.34172/ijtmgh.2021.04]
  30. Vahedian-Azimi A, Moayed MS, Rahimibashar F, Shojaei S, Ashtari S, Pourhoseingholi MA. Comparison of the severity of psychological distress among four groups of an Iranian population regarding COVID-19 pandemic. BMC Psychiatry. 2020; 20(1):402. [DOI:10.1186/s12888-020-02804-9] [PMID] [PMCID]
  31. Jassim G, Jameel M, Brennan E, Yusuf M, Hasan N, Alwatani Y. Psychological impact of covid-19, isolation, and quarantine: A cross-sectional study. Neuropsychiatric Disease and Treatment. 2021; 17:1413-21. [DOI:10.2147/NDT.S311018] [PMID] [PMCID]
  32. Serafini G, Parmigiani B, Amerio A, Aguglia A, Sher L, Amore M. The psychological impact of COVID-19 on the mental health in the general population. QJM: An International Journal of Medicine. 2020; 113(8):531-7. [DOI:10.1093/qjmed/hcaa201] [PMID] [PMCID]
  33. Novavax. Data NAPT-L. From RSV F vaccine phase 1 clinical trial in pediatrics|NovavaxInc [in ternet]. 2020 [Updated 2020 December 11]. Available from: [Link]
  34. Kunz R, Minder M. COVID-19 pandemic: Palliative care for elderly and frail patients at home and in residential and nursing homes. Swiss Medical Weekly. 2020; 150:w20235. [DOI:10.4414/smw.2020.20235] [PMID]
  35. Mulder J, de Bruijne M. Willingness of online respondents to participate in alternative modes of data collection. Survey Practice. 2019; 12(1). [DOI:10.29115/SP-2019-0001]
Type of Study: Research | Subject: General
Received: 2024/01/7 | Accepted: 2024/04/29 | Published: 2024/10/1
* Corresponding Author Address: Evin, Kodakyar

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Designed & Developed by : Yektaweb