Abstract
Background
The COVID-19 pandemic affected everyone around the globe. Depending on the country, there have been different restrictive epidemiologic measures and also different long-term repercussions. Morbidity and mortality of COVID-19 affected the mental state of every human being. However, social separation and isolation due to the restrictive measures considerably increased this impact. According to the World Health Organization (WHO), anxiety and depression prevalence increased by 25% globally. In this study, we aimed to examine the lasting effects of the COVID-19 pandemic on the general population.
Methods
A cross-sectional study using an anonymous online-based 45-question online survey was conducted at Comenius University in Bratislava. The questionnaire comprised five general questions and two assessment tools the Zung Self-Rating Anxiety Scale (SAS) and the Zung Self-Rating Depression Scale (SDS). The results of the Self-Rating Scales were statistically examined in association with sex, age, and level of education.
Results
A total of 205 anonymous subjects participated in this study, and no responses were excluded. In the study group, 78 (38.05%) participants were male, and 127 (61.69%) were female. A higher tendency to anxiety was exhibited by female participants (p = 0.012) and the age group under 30 years of age (p = 0.042). The level of education has been identified as a significant factor for changes in mental state, as participants with higher levels of education tended to be in a worse mental state (p = 0.006).
Conclusions
Summarizing two years of the COVID-19 pandemic, the mental state of people with higher levels of education tended to feel worse, while females and younger adults felt more anxiety.
Keywords: COVID-19, Pandemic, Mental health, Anxiety, Depression, Slovakia
Introduction
The first mention of the novel coronavirus came in 2019, when this variant was discovered in the city of Wuhan, China, and became the first ever documented coronavirus pandemic [1–3]. At this time there was only a sliver of fear rising all over the globe. However, in March 2020, after the declaration of a global pandemic by the World Health Organization (WHO), the situation changed dramatically [4]. Answering this, yet an unknown threat thrust many countries into a psycho-socio-economic whirlwind [5, 6]. Various measures taken by governments to control the spread of the virus presented the worldwide population with a series of new challenges to which it had to adjust [7, 8]. Lockdowns, closed schools, losing employment or businesses, and rising deaths not only in nursing homes came to be a new reality [9–11]. Lack of scientific information on the novel coronavirus and its effects on the human body, its fast spread, the absence of effective causal treatment, and the restrictions which harmed people´s social life, financial situation and other areas of everyday life lead to long-term living conditions with increased stress levels and low predictability over which people had little control [12].
Risks of changes in the mental state of the population came mainly from external risk factors, including prolonged lockdowns, social isolation, inadequate or misinterpreted information, loss of income, and acute relationship with the rising death toll. According to the World Health Organization (WHO), since the outbreak of the COVID-19 pandemic, anxiety and depression prevalence increased by 25% globally [13]. Unemployment specifically has been proven to be also a predictor of suicidal behavior [14–18]. These risk factors then interact with individual psychological factors leading to psychopathologies such as threat appraisal, attentional bias to threat stimuli over neutral stimuli, avoidance, fear learning, impaired safety learning, impaired fear extinction due to habituation, intolerance of uncertainty, and psychological inflexibility. The threat responses are mediated by the limbic system and insula and mitigated by the pre-frontal cortex, which has also been reported in neuroimaging studies, with reduced insula thickness corresponding to more severe anxiety and amygdala volume correlated to anhedonia as a symptom of depression [19–23]. Speaking in psychological terms, the pandemic disturbed our core belief, that we are safe in our communities, cities, countries, or even the world. The lost sense of agency and confidence regarding our future diminished the sense of worth, identity, and meaningfulness of our lives and eroded security-enhancing relationships [24].
Slovakia introduced harsh public health measures in the first wave of the pandemic, but relaxed these measures during the summer, accompanied by a failure to develop effective find, test, trace, isolate and support systems. Due to this, the country experienced a steep growth in new COVID-19 cases in September 2020, which lead to the erosion of public´s trust in the government´s management of the situation [25]. As a means to control the second wave of the pandemic, the Slovak government decided to perform nationwide antigen testing over two weekends in November 2020, which was internationally perceived as a very controversial step, moreover, it failed to prevent further lockdowns [26]. In addition, there was a sharp rise in the unemployment rate since 2020, which continued until July 2020, when it gradually eased [27]. Pre-pandemic, every 9th citizen of Slovakia suffered from a mental health disorder, according to National Statistics Office in 2017, the majority being affective and anxiety disorders. A group of authors created a web questionnaire aimed at psychiatrists, psychologists, and their patients after the first wave of the COVID-19 pandemic in Slovakia. The results showed that 86.6% of respondents perceived the pathological effect of the pandemic on their mental status, 54.1% of whom were already treated for affective or anxiety disorders [28].
In this study, we aimed to examine the lasting effects of the COVID-19 pandemic on the general population. This study aimed to assess the symptoms of anxiety and depression in the general public of Slovakia. After the end of epidemiologic restrictive measures (from March to May 2022), we introduced an anonymous online questionnaire using adapted versions of Zung Self-Rating Anxiety Scale (SAS) and Zung Self-Rating Depression Scale (SDS) [29, 30]. We focused on the general public because only a portion of people who experience psychological distress seek professional help. We sought to establish, whether during the pandemic the population showed a tendency to adapt to the situation or whether the anxiety and depression symptoms tended to be present even after months of better epidemiologic situation, vaccine availability, and studies putting its effects under review [31–34].
Materials and Methods
This study utilized a voluntary and anonymous online self-administered questionnaire, where the collected data cannot be linked to a specific respondent. This study did not process any personal data. The questionnaire consisted of 45 questions. The first three were open-ended questions about participants’ sex, age (date of birth was not recorded), and education. Followed by 2 questions aimed at mental health and changes in the will to live. Further 20 and 20 questions consisted of the Zung SAS and Zung SDS, respectively. Every question in SAS and SDS is scored from 1 to 4 points on a Likert-style scale. The scoring system is introduced in Fig. 1. Questions were presented in the Slovak language, with emphasis on maintaining test integrity, so, if possible, literal translations were made from English to Slovak. The questionnaire was created and designed in Google Forms®. Data collection was carried out from March 2022 to May 2022. The study was aimed at the general population of Slovakia in times of difficult epidemiologic and social situations due to the high prevalence and incidence of COVID-19 cases during lockdowns and social distancing measures. Because of the character of this web-based study, the optimal distribution of respondents could not be achieved.
During the course of this study, 205 respondents answered the anonymous questionnaire in full and were included in the study. All respondents were over 18 years of age. The data was later exported from Google Forms® as an Excel spreadsheet. Coding and analysis were carried out using IBM SPSS Statistics version 26 (IBM SPSS Statistics for Windows, Version 26.0, Armonk, NY, USA). Subject groups were created based on sex, age, and education level. First, sex due to differences in emotional expression. Second, age was a risk factor due to perceived stress and fear of the disease. Last, education due to different approaches to information. In these groups four factors were studied: (1) changes in mental state; (2) affected will to live, or frequent thoughts about death; (3) result of SAS; (4) result of SDS. For SAS, no subject in the study group scored anxiety levels of “severe” or “extreme”. Similarly for SDS, no subject depression levels reached “moderate” or “severe”. Pearson’s chi-squared test(χ2) was used to analyze the association between the subject groups and studied factors. The results were considered significant if the p-value was less than 0.05.
Ethical permission was obtained from the local ethics committee (Reference number: ULBGaKG-02/2022). This study was performed in line with the principles of the Declaration of Helsinki. All methods were carried out following the institutional guidelines. Due to the anonymous design of the study and by the institutional requirements, written informed consent for participation was not required for this study.
Results
In the study, out of 205 subjects in the study group, 127 (62%) were female and 78 (38%) were male. The average age in the study group was 35.78 years of age (range 19–71 years), with a median of 34 years. In the age group under 30 years of age were 34 (16.6%) subjects, while 162 (79%) were in the range from 31 to 49 and 9 (0.4%) were over 50 years old. 48 (23.4%) participants achieved an education level of lower or higher secondary and 157 (76.6%) finished university or higher. All answers of study participants were included in the study, nothing was excluded.
In Tables 1 and 2, we can see the distribution of changes in mental state and will to live as stated in the questionnaire. In Table 1 we can see a disproportion in education level and mental state, where participants with higher education tended to feel worse much more than those with lower levels of education. Changes based on sex and age did not show any statistically significant results.
Table 1.
Variables | Change in mental state | χ2 p-Value |
|||
---|---|---|---|---|---|
I feel worse | No change | I feel better | |||
Sex | Male | 37 | 35 | 6 | 0.169 |
Female | 77 | 44 | 6 | ||
Age | < 30 | 22 | 12 | - | 0.139 |
31–49 | 90 | 61 | 11 | ||
> 50 | 2 | 6 | 1 | ||
Education | Lower or Higher Secondary | 17 | 27 | 4 | 0.006 |
University or higher | 97 | 52 | 8 |
Table 2.
Variables | Affected will live, thoughts about death | χ2 p-Value |
||||
---|---|---|---|---|---|---|
Never | Sometimes | Often | Almost always | |||
Sex | Male | 61 | 11 | 4 | 2 | 0.860 |
Female | 100 | 14 | 8 | 5 | ||
Age | < 30 | 25 | 5 | 2 | 2 | 0.818 |
31–49 | 128 | 20 | 9 | 5 | ||
> 50 | 8 | - | 1 | - | ||
Education | Lower or Higher Secondary | 38 | 7 | 2 | 1 | 0.819 |
University or higher | 123 | 18 | 10 | 6 |
In Table 2. we can see, that decreased will to live and frequent thoughts about death were only marginally present in the study group, which suggests that coping mechanisms play a huge role in adaptation to such events (e.g. the global pandemic). There is also a possibility that living in times of better epidemiologic situations makes people more likely to forget about the bad past.
Anxiety and depression levels as seen in Tables 3 and 4 were different, where female participants and the age group under 30 years of age tended to feel more anxiety than other groups. No significant changes in depression levels based on sex, age, and education were found.
Table 3.
Variables | Zung’s anxiety scale | χ2 p-Value |
||
---|---|---|---|---|
Normal range | Mild to Moderate Levels | |||
Sex | Male | 70 | 8 | 0.012 |
Female | 96 | 31 | ||
Age | < 30 | 23 | 11 | 0.042 |
31–49 | 134 | 28 | ||
> 50 | 9 | - | ||
Education | Lower or Higher Secondary | 40 | 8 | 0.634 |
University or higher | 126 | 31 |
Table 4.
Variables | Zung’s depression scale | χ2 p-Value |
||
---|---|---|---|---|
Normal Range | Mildly Depressed | |||
Sex | Male | 29 | 49 | 0.149 |
Female | 35 | 92 | ||
Age | < 30 | 10 | 24 | 0.272 |
31–49 | 49 | 113 | ||
> 50 | 5 | 4 | ||
Education | Lower or Higher Secondary | 17 | 31 | 0.473 |
University or higher | 47 | 110 |
Discussion
Compared to the estimated global prevalence of depression in 2017 (3.44%), in 2021 it was approximately 7 times higher (25%) [14]. Our study did not prove an increase in depression, while anxiety levels and changes in the mental state did prove elevated. No significant changes in depression levels go in hand with the unaffected will to live and infrequent thoughts about death, which were important findings, that did not supplement our primary hypothesis that the fear of death caused by COVID-19 or accompanying infections would enhance personal distress and depression, leading to decreases in studied factors. These results are drawn from our limited sample size and uneven demographic distribution. Suicide ideations rose from 5% pre-pandemic to 10.81% during the pandemic [35]. In our study, 9.3% of participants experienced thoughts about death and since we did not specifically ask if they thought about suicide, our results only partially correlate with suicidal ideations. However, as these subjects exhibited only moderate levels of anxiety and mild levels of depression, the rise of suicide ideations seems unlikely. The rise in suicidal ideations seemed to be especially true for the general population with no pre-existing psychiatric conditions in the first months of the pandemic [36]. The policies implemented by countries to contain the pandemic also took a toll on the population´s mental health, as it was reported, that more stringent policies, mainly the social distancing and perceived government´s handling of the pandemic, were related to worse psychological outcomes [37]. The effects of lockdowns are far-fetched and the increases in mental health challenges, well-being, and quality of life will require a long time to be understood, as Onyeaka et al. conclude [10]. These effects are not unforeseen, as the global population suffered from life-altering changes in the structure and accessibility of education or healthcare, fluctuations in prices and food insecurity, as well as the inevitable depression of the global economy [38].
The loneliness associated with enforced social distancing leads to an increase in depression, anxiety, and posttraumatic stress in children in adolescents, with possible long-term sequelae [39]. The increase in adolescent self-injury was 27.6% during the pandemic [40]. Similar findings were described in the middle-aged and elderly population, in which both depression and anxiety prevalence rose at the beginning of the pandemic, during the pandemic, with depression persisting later in the pandemic, while the anxiety-related disorders tended to subside [41]. Medical professionals represented another specific at-risk group, with reported anxiety and depression rates of 24.94% and 24.83% respectively [42]. The dynamic of psychopathology related to the COVID-19 pandemic is not clear, with studies reporting a return to normal later in 2020, while others describe increased distress later in the pandemic [20, 43].
Concerning the general population, authors from Spain reported that lockdowns and COVID-19 were associated with depression and anxiety [44]. In January 2022 Zhao et al., reported an elevation in hoarding behavior due to fear of COVID-19, while this process was moderated by education and income levels, however, less in the general population if compared to students [45]. Higher education levels and better access to information could improve persons’ fear of the unknown, however, this fact was not consistent with our expectations in this study, as participants with university education tended to feel worse than participants with lower education. A study on adolescents and their perceived stress in the Czech Republic concluded that girls are more affected by lockdowns. The strongest predictor was loneliness, while having someone to talk to, scored the lowest [46]. Garbóczy et al. reported elevated perceived stress levels and health anxiety in 1289 Hungarian and international students, also affected by disengagement from home and inadequate coping strategies [47]. Wathelet et al. conducted a study on French University students confined during the pandemic with alarming results of a high prevalence of mental health issues in the study group [48]. Our study indicated similar results, as participants in the age group under 30 years of age tended to feel more anxious than others.
In conclusion, we can say that this pandemic changed the lives of many. Many of us, our family members, friends, and colleagues, experienced life-altering events and complicated situations unseen for decades. Our decisions and actions fueled the progress in medicine, while they also continue to impact society on all levels. The long-term effects on adolescents are yet to be seen, while effects of pain, fear, and isolation on the general population are already presenting themselves.
The limitations of this study were numerous and as this was a web-based study, the optimal distribution of respondents could not be achieved, due to the snowball sampling strategy. The main limitation was the small sample size and uneven demographic distribution of respondents, which could impact the representativeness of the studied population and increase the margin of error. Similarly, the limited number of older participants could significantly impact the reported results, as age was an important risk factor and thus an important stressor. The questionnaire omitted the presence of COVID-19-unrelated life-changing events or stressors, and also did not account for any preexisting condition or risk factor that may have affected the outcome of the used assessment scales.
Acknowledgements
We would like to provide our appreciation and thanks to all the respondents in this study.
Authors’ contributions
IK and SH have produced the study design. All authors contributed to the manuscript writing, revising, and editing. LD and MK have done data management and extraction, SH did the data analysis. Drafting and interpretation of the manuscript were made by all authors. All authors read and approved the final manuscript.
Funding
This research project received no external funding.
Data Availability
The datasets generated and analyzed during the current study are not publicly available due to compliance with institutional guidelines but they are available from the corresponding author (SH) on a reasonable request.
Declarations
Ethics approval and consent to participate
Ethical permission was obtained from the Ethics Committee of the Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University in Bratislava (Reference number: ULBGaKG-02/2022). The need for informed consent was waived by the Ethics Committee of the Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University in Bratislava due to the anonymous design of the study. This study did not process any personal data and the dataset does not contain any direct or indirect identifiers of participants. This study was performed in line with the principles of the Declaration of Helsinki. All methods were carried out following the institutional guidelines.
Consent for publication
Not Applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with Pneumonia in China, 2019. N Engl J Med. 2020;382:727–33. doi: 10.1056/NEJMoa2001017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Liu Y-C, Kuo R-L, Shih S-R. COVID-19: the first documented coronavirus pandemic in history. Biomed J. 2020;43:328–33. doi: 10.1016/j.bj.2020.04.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Advice for the public on COVID-19 – World Health Organization. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public. Accessed 13 Nov 2022.
- 5.Osterrieder A, Cuman G, Pan-Ngum W, Cheah PK, Cheah P-K, Peerawaranun P, et al. Economic and social impacts of COVID-19 and public health measures: results from an anonymous online survey in Thailand, Malaysia, the UK, Italy and Slovenia. BMJ Open. 2021;11:e046863. doi: 10.1136/bmjopen-2020-046863. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Mofijur M, Fattah IMR, Alam MA, Islam ABMS, Ong HC, Rahman SMA, et al. Impact of COVID-19 on the social, economic, environmental and energy domains: Lessons learnt from a global pandemic. Sustainable Prod Consum. 2021;26:343–59. doi: 10.1016/j.spc.2020.10.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Vlachos J, Hertegård E, Svaleryd B. The effects of school closures on SARS-CoV-2 among parents and teachers. Proc Natl Acad Sci U S A. 2021;118:e2020834118. doi: 10.1073/pnas.2020834118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ludvigsson JF, Engerström L, Nordenhäll C, Larsson E, Open Schools Covid-19, and child and teacher morbidity in Sweden. N Engl J Med. 2021;384:669–71. doi: 10.1056/NEJMc2026670. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Miralles O, Sanchez-Rodriguez D, Marco E, Annweiler C, Baztan A, Betancor É, et al. Unmet needs, health policies, and actions during the COVID-19 pandemic: a report from six european countries. Eur Geriatr Med. 2021;12:193–204. doi: 10.1007/s41999-020-00415-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Onyeaka H, Anumudu CK, Al-Sharify ZT, Egele-Godswill E, Mbaegbu P. COVID-19 pandemic: a review of the global lockdown and its far-reaching effects. Sci Prog. 2021;104:368504211019854. doi: 10.1177/00368504211019854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.The Lancet null India under COVID-19 lockdown. Lancet. 2020;395:1315. doi: 10.1016/S0140-6736(20)30938-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Lo Coco G, Gentile A, Bosnar K, Milovanović I, Bianco A, Drid P, et al. A cross-country examination on the fear of COVID-19 and the sense of loneliness during the First Wave of COVID-19 outbreak. Int J Environ Res Public Health. 2021;18:2586. doi: 10.3390/ijerph18052586. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.COVID-19 pandemic. triggers 25% increase in prevalence of anxiety and depression worldwide. https://www.who.int/news/item/02-03-2022-covid-19-pandemic-triggers-25-increase-in-prevalence-of-anxiety-and-depression-worldwide. Accessed 14 Nov 2022. [PMC free article] [PubMed]
- 14.Bueno-Notivol J, Gracia-García P, Olaya B, Lasheras I, López-Antón R, Santabárbara J. Prevalence of depression during the COVID-19 outbreak: a meta-analysis of community-based studies. Int J Clin Health Psychol. 2021;21:100196. doi: 10.1016/j.ijchp.2020.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Hajek A, Sabat I, Neumann-Böhme S, Schreyögg J, Barros PP, Stargardt T, et al. Prevalence and determinants of probable depression and anxiety during the COVID-19 pandemic in seven countries: longitudinal evidence from the european COvid Survey (ECOS) J Affect Disord. 2022;299:517–24. doi: 10.1016/j.jad.2021.12.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Piumatti G, Levati S, Amati R, Crivelli L, Albanese E. Trajectories of depression, anxiety and stress among adults during the COVID-19 pandemic in Southern Switzerland: the Corona Immunitas Ticino cohort study. Public Health. 2022;206:63–9. doi: 10.1016/j.puhe.2022.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Korkmaz H, Güloğlu B. The role of uncertainty tolerance and meaning in life on depression and anxiety throughout Covid-19 pandemic. Pers Indiv Differ. 2021;179:110952. doi: 10.1016/j.paid.2021.110952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.McIntyre RS, Lee Y. Projected increases in suicide in Canada as a consequence of COVID-19. Psychiatry Res. 2020;290:113104. doi: 10.1016/j.psychres.2020.113104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Funkhouser CJ, Klemballa DM, Shankman SA. Using what we know about threat reactivity models to understand mental health during the COVID-19 pandemic. Behav Res Ther. 2022;153:104082. doi: 10.1016/j.brat.2022.104082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Landi G, Pakenham KI, Crocetti E, Tossani E, Grandi S. The trajectories of anxiety and depression during the COVID-19 pandemic and the protective role of psychological flexibility: a four-wave longitudinal study. J Affect Disord. 2022;307:69–78. doi: 10.1016/j.jad.2022.03.067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Holt-Gosselin B, Tozzi L, Ramirez CA, Gotlib IH, Williams LM. Coping strategies, neural structure, and depression and anxiety during the COVID-19 pandemic: a longitudinal study in a naturalistic sample spanning clinical diagnoses and subclinical symptoms. Biol Psychiatry Global Open Sci. 2021;1:261–71. doi: 10.1016/j.bpsgos.2021.06.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.McCracken LM, Badinlou F, Buhrman M, Brocki KC. The role of psychological flexibility in the context of COVID-19: Associations with depression, anxiety, and insomnia. J Context Behav Sci. 2021;19:28–35. doi: 10.1016/j.jcbs.2020.11.003. [DOI] [Google Scholar]
- 23.Talkovsky AM, Norton PJ. Negative affect and intolerance of uncertainty as potential mediators of change in comorbid depression in transdiagnostic CBT for anxiety. J Affect Disord. 2018;236:259–65. doi: 10.1016/j.jad.2018.04.104. [DOI] [PubMed] [Google Scholar]
- 24.Milman E, Lee SA, Neimeyer RA, Mathis AA, Jobe MC. Modeling pandemic depression and anxiety: the mediational role of core beliefs and meaning making. J Affect Disorders Rep. 2020;2:100023. doi: 10.1016/j.jadr.2020.100023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Sagan A, Bryndova L, Kowalska-Bobko I, Smatana M, Spranger A, Szerencses V, et al. A reversal of fortune: comparison of health system responses to COVID-19 in the Visegrad group during the early phases of the pandemic. Health Policy. 2022;126:446–55. doi: 10.1016/j.healthpol.2021.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Holt E. COVID-19 testing in Slovakia. Lancet Infect Dis. 2021;21:32. doi: 10.1016/S1473-3099(20)30948-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Stalmachova K, Strenitzerova M. Impact of the COVID-19 pandemic on employment in transport and telecommunications sectors. Transp Res Procedia. 2021;55:87–94. doi: 10.1016/j.trpro.2021.06.009. [DOI] [Google Scholar]
- 28.Izakova L, Breznoscakova D, Jandova K, Valkucakova V, Bezakova G, Suvada J. What mental health experts in Slovakia are learning from COVID-19 pandemic? Indian J Psychiatry. 2020;62(Suppl 3):459–66. doi: 10.4103/psychiatry.IndianJPsychiatry_758_20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Rabinčák M, Tkáčová Ľ, VYUŽÍVANIE PSYCHOMETRICKÝCH KONŠTRUKTOV PRE, HODNOTENIE PORÚCH NÁLADY V OŠETROVATEĽSKEJ PRAXI Zdravotnícke Listy. 2019;7:7. [Google Scholar]
- 30.Sekot M, Gürlich R, Maruna P, Páv M, Uhlíková P. Hodnocení úzkosti a deprese u pacientů se zhoubnými nádory trávicího traktu. Čes a slov Psychiat. 2005;101:252–7. [Google Scholar]
- 31.Lipsitch M, Krammer F, Regev-Yochay G, Lustig Y, Balicer RD. SARS-CoV-2 breakthrough infections in vaccinated individuals: measurement, causes and impact. Nat Rev Immunol. 2022;22:57–65. doi: 10.1038/s41577-021-00662-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Accorsi EK, Britton A, Fleming-Dutra KE, Smith ZR, Shang N, Derado G, et al. Association between 3 doses of mRNA COVID-19 vaccine and symptomatic infection caused by the SARS-CoV-2 Omicron and Delta Variants. JAMA. 2022;327:639–51. doi: 10.1001/jama.2022.0470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Barda N, Dagan N, Cohen C, Hernán MA, Lipsitch M, Kohane IS, et al. Effectiveness of a third dose of the BNT162b2 mRNA COVID-19 vaccine for preventing severe outcomes in Israel: an observational study. Lancet. 2021;398:2093–100. doi: 10.1016/S0140-6736(21)02249-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Magen O, Waxman JG, Makov-Assif M, Vered R, Dicker D, Hernán MA, et al. Fourth dose of BNT162b2 mRNA Covid-19 vaccine in a nationwide setting. N Engl J Med. 2022;386:1603–14. doi: 10.1056/NEJMoa2201688. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Dubé JP, Smith MM, Sherry SB, Hewitt PL, Stewart SH. Suicide behaviors during the COVID-19 pandemic: a meta-analysis of 54 studies. Psychiatry Res. 2021;301:113998. doi: 10.1016/j.psychres.2021.113998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Kok AAL, Pan K-Y, Rius-Ottenheim N, Jörg F, Eikelenboom M, Horsfall M, et al. Mental health and perceived impact during the first Covid-19 pandemic year: a longitudinal study in dutch case-control cohorts of persons with and without depressive, anxiety, and obsessive-compulsive disorders. J Affect Disord. 2022;305:85–93. doi: 10.1016/j.jad.2022.02.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Aknin LB, Andretti B, Goldszmidt R, Helliwell JF, Petherick A, De Neve J-E, et al. Policy stringency and mental health during the COVID-19 pandemic: a longitudinal analysis of data from 15 countries. The Lancet Public Health. 2022;7:e417–26. doi: 10.1016/S2468-2667(22)00060-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Prochazka J, Scheel T, Pirozek P, Kratochvil T, Civilotti C, Bollo M, et al. Data on work-related consequences of COVID-19 pandemic for employees across Europe. Data Brief. 2020;32:106174. doi: 10.1016/j.dib.2020.106174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Loades ME, Chatburn E, Higson-Sweeney N, Reynolds S, Shafran R, Brigden A, et al. Rapid systematic review: the impact of social isolation and loneliness on the Mental Health of Children and Adolescents in the Context of COVID-19. J Am Acad Child Adolesc Psychiatry. 2020;59:1218–1239e3. doi: 10.1016/j.jaac.2020.05.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Zetterqvist M, Jonsson LS, Landberg Ã, Svedin CG. A potential increase in adolescent nonsuicidal self-injury during covid-19: a comparison of data from three different time points during 2011–2021. Psychiatry Res. 2021;305:114208. doi: 10.1016/j.psychres.2021.114208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Mooldijk SS, Dommershuijsen LJ, de Feijter M, Luik AI. Trajectories of depression and anxiety during the COVID-19 pandemic in a population-based sample of middle-aged and older adults. J Psychiatr Res. 2022;149:274–80. doi: 10.1016/j.jpsychires.2022.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Sahebi A, Nejati-Zarnaqi B, Moayedi S, Yousefi K, Torres M, Golitaleb M. The prevalence of anxiety and depression among healthcare workers during the COVID-19 pandemic: an umbrella review of meta-analyses. Prog Neuropsychopharmacol Biol Psychiatry. 2021;107:110247. doi: 10.1016/j.pnpbp.2021.110247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Stephenson E, O’Neill B, Kalia S, Ji C, Crampton N, Butt DA, et al. Effects of COVID-19 pandemic on anxiety and depression in primary care: a retrospective cohort study. J Affect Disord. 2022;303:216–22. doi: 10.1016/j.jad.2022.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Goldberg X, Castaño-Vinyals G, Espinosa A, Carreras A, Liutsko L, Sicuri E et al. Mental health and COVID-19 in a general population cohort in Spain (COVICAT study).Soc Psychiatry Psychiatr Epidemiol. 2022;:1–12. [DOI] [PMC free article] [PubMed]
- 45.Zhao Y, Yu Y, Zhao R, Cai Y, Gao S, Liu Y, et al. Association between fear of COVID-19 and hoarding behavior during the outbreak of the COVID-19 pandemic: the mediating role of mental health status. Front Psychol. 2022;13:996486. doi: 10.3389/fpsyg.2022.996486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Furstova J, Kascakova N, Sigmundova D, Zidkova R, Tavel P, Badura P. Perceived stress of adolescents during the COVID-19 lockdown: bayesian multilevel modeling of the Czech HBSC lockdown survey. Front Psychol. 2022;13:964313. doi: 10.3389/fpsyg.2022.964313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Garbóczy S, Szemán-Nagy A, Ahmad MS, Harsányi S, Ocsenás D, Rekenyi V, et al. Health anxiety, perceived stress, and coping styles in the shadow of the COVID-19. BMC Psychol. 2021;9:53. doi: 10.1186/s40359-021-00560-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Wathelet M, Duhem S, Vaiva G, Baubet T, Habran E, Veerapa E, et al. Factors Associated with Mental Health Disorders among University students in France Confined during the COVID-19 pandemic. JAMA Netw Open. 2020;3:e2025591. doi: 10.1001/jamanetworkopen.2020.25591. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated and analyzed during the current study are not publicly available due to compliance with institutional guidelines but they are available from the corresponding author (SH) on a reasonable request.