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Factors Associated With Highest Symptoms of Anxiety During COVID-19: Cross-Cultural Study of 23 Countries

The COVID-19 restrictions have impacted people’s lifestyles in all spheres (social, psychological, political, economic, and others). This study explored which factors affected the level of anxiety during the time of the first wave of COVID-19 and subsequent quarantine in a substantial proportion of 23 countries, included in this study. The data was collected from May to August 2020 (5 June 2020). The sample included 15,375 participants from 23 countries: (seven from Europe: Belarus, Bulgaria, Croatia, Hungary, Italy, Romania, Russia; 11 from West, South and Southeast Asia: Armenia, India, Indonesia, Iran, Iraq, Jordan, Malaysia, Pakistan, Saudi Arabia, Thailand, Turkey; two African: Nigeria and Tanzania; and three from North, South, and Central America: Brazil, Canada, United States). Level of anxiety was measured by means of the 7-item Generalized Anxiety Disorder Scale (GAD-7) and the 20-item first part of The State-Trait Anxiety Inventory (STAI)—State Anxiety Inventory (SAI). Respondents were also asked about their personal experiences with COVID-19, attitudes toward measures introduced by governments, changes in attitudes toward migrants during a pandemic, family income, isolation conditions, etc. The factor analysis revealed that four factors explained 45.08% of variance in increase of anxiety, and these components were interpreted as follows: (1) personal awareness of the threat of COVID-19, (2) personal reaction toward officially undertaken measures and attitudes to foreigners, (3) personal trust in official sources, (4) personal experience with COVID-19. Three out of four factors demonstrated strong associations with both scales of anxiety: high level of anxiety was significantly correlated with high level of personal awareness of the threat of COVID-19, low level of personal reaction toward officially undertaken measures and attitudes to foreigners, and high level of presence of personal experience with COVID-19. Our study revealed significant main effects of sex, country, and all four factors on the level of anxiety. It was demonstrated that countries with higher levels of anxiety assessed the real danger of a pandemic as higher, and had more personal experience with COVID-19. Respondents who trusted the government demonstrated lower levels of anxiety. Finally, foreigners were perceived as the cause of epidemic spread.


INTRODUCTION
The COVID-19 pandemic has been a global challenge and has come to change the population's daily life. Data using a sample of adults from different countries from 2020 to 2021 showed that social isolation, loneliness, and limitations are associated with worse mental and physical health (Berta et al., 2020;Brooks et al., 2020;Cao C. et al., 2020;Chen et al., 2020;Kowal et al., 2020;Maekelae et al., 2020;van Bavel et al., 2020;Burkova et al., 2021;Butovskaya et al., 2021;Rodríguez et al., 2021;etc.). The negative psychological impact of the epidemic was demonstrated on the general population, as well as on children and the elderly (Cao C. et al., 2020;Chen et al., 2020;Fedenok and Burkova, 2020;Li et al., 2020;Yang et al., 2020). The negative psychological impact of the epidemic was demonstrated also in specific populations, i.e., health care workers Brailovskaia et al., 2021;Mansueto et al., 2021).
Studies observing the impact of epidemics have shown that a significant part of the population is subject to anxiety due to health threats and people's desire to protect themselves and their loved ones (Jones and Salathe, 2009;Main et al., 2011;Jalloh et al., 2018;Bults et al., 2020;Burkova et al., 2021;Butovskaya et al., 2021;Semenova et al., 2021;Uehara et al., 2021). Past epidemics have shown that during their long pandemic (including quarantine) we are dealing with prolonged stress that can lead to immune system dysregulation and increased susceptibility to viral infections (Cohen et al., 2012), psychological distress and diagnostic symptoms of posttraumatic stress disorder (Reynolds et al., 2008;Taylor et al., 2008;Berta et al., 2020), depression and greater levels of stress (DiGiovanni et al., 2004;Hawryluck et al., 2004;Mak et al., 2009;Burkova et al., 2021;Rodríguez et al., 2021), insomnia, irritability, and low mood (Lee et al., 2005), and emotions of nervousness, fear, sadness, and guilt (Reynolds et al., 2008). Data from China confirm the high prevalence of post-traumatic stress disorder among the survivors of COVID-19 (Bo et al., 2020) and mental illness among the general population .
During 2020-2021, a number of cross-cultural studies were released that make a significant contribution to the understanding of major stress factors in different cultures 1 (Berta et al., 2020;Kowal et al., 2020;Limcaoco et al., 2020;Maekelae et al., 2020;Burkova et al., 2021;Butovskaya et al., 2021). The study of Limcaoco et al. (2020), which gathered data across 41 countries during the first wave of COVID-19 showed increasing levels of anxiety. Kowal et al. (2020) collected data from 26 countries and demonstrated associations of higher levels of stress from COVID-19 with younger age, being a single woman, lower level of education, staying with more children, and living in a country that has been severely affected by COVID-19. The same correlation of anxiety with younger age was found in our cross-cultural study conducted in 23 countries . Maekelae et al. (2020) assessed effectiveness of introduced restrictions, their impact on daily life, and general distress and paranoia during the first outbreak in five countries -Brazil, Colombia, Germany, Israel, Norway, and the United States. Participants from Brazil, Colombia, and the United States reported the highest level of distress, whereas people from Israel, Norway and Germany had comparatively lower levels of distress (Maekelae et al., 2020). Data from Russia and Spain demonstrated that for the Russian sample's perceived social support from the family was the only predictor for a reduced rate of anxiety, whereas for the Spanish sample it was social support from three sources: significant others, family, and friends (Berta et al., 2020). The same results were found among Chinese students -social support had a negative relationship with anxiety (Cao C. et al., 2020). Cross-cultural comparisons of psychosocial distress in the United States, South Korea, France, and Hong Kong during the initial phase of COVID-19 showed that younger age, greater concern for COVID-19, and more severe loneliness predicted worse psychological outcome; and the magnitudes of these effects varied across the four regions (Dean et al., 2021). The association between depression symptoms, psychological burden caused by COVID-19 and physical activity were found in Germany, Italy, Russia, and Spain -burden by COVID-19 was significantly positively associated with depression symptoms, while it was significantly negatively linked to physical activity, and physical activity buffered the association between depression symptoms and burden (Brailovskaia et al., 2021). Earlier it was demonstrated by our research team that cultural dimensions, such as individualism/collectivism, power distance and looseness/tightness may function as protective adaptive mechanisms against the development of anxiety disorders in a pandemic situation -participants from countries with the highest ratings of anxiety were also highest on individualism and looseness, and lowest ratings on power distance . It was also revealed that factors of cohabitation/loneliness somehow produced different effects on anxiety in different countries. While in a majority of countries, people who lived with someone reported the highest level of aggression, in such countries as Belarus, Bulgaria, and Malaysia, whereas Pakistan showed the opposite effect .
Despite a great number of studies, conducted on stress and distress, as well as coping strategies in the time of COVID-19, it remained far from being obvious, which cultural differences worsen the situation or on the contrary reduce the citizens' anxiety. We have already demonstrated the gender differences in stress levels during the first wave of a pandemic in 23 countries, as well as the effects of age and living condition on decrease or increase of stress levels . The goals of the present study are to examine possible factors that may be associated with self-reported levels of anxiety during the time of the first wave COVID-19 quarantine in a large sample from 23 countries. Also, we are planning to analyze the effects of personal awareness of the threat of COVID-19, personal reaction toward officially undertaken measures and attitudes to foreigners, personal trust toward official sources, and personal experience with COVID-19 on stress levels in a cultural-specific perspective.

MATERIALS AND METHODS
The survey was conducted during the first wave of the pandemic COVID-19 from May to August 2020 (Median 5 June 2020). According to the WHO, on this date worldwide there were registered 6,515,796 confirmed cases of COVID-19 and 387,298 confirmed deaths 2 (see country details in Table 1). All coauthors collected data in their home countries for this study. The questionnaire was generated on the Google Forms service hosted by the principal investigator. The original questionnaire was developed in Russian and English. In all non-English speaking countries (except Russia), colleagues translated the measures into their native languages using a back-translation procedure (Sousa and Rojjanasrirat, 2011).
Participants in each country were recruited from various university listservs and social networking sites. Inclusion criteria were: (1) being more than 18 years of age; (2) responding no to having a chronic disease and/or predisposition for depression or having received treatment (based on self-assessments of participants). People with chronic diseases and a predisposition to/or depression/treatment were excluded from the sample, as such respondents already have an increased level of anxiety due to illness/depression, and it would be more difficult to isolate the influence of COVID factors. If eligible, participants were directed to complete the self-report survey on Google forms to provide informed consent, and were asked to take a survey, described below, which took approximately 20 min to complete. Participants were not compensated for their participation.
The study was conducted according to the principles expressed in the Declaration of Helsinki. The Scientific Council of the Institute of Ethnology and Anthropology of the Russian Academy of Sciences (protocol No01, dated April 9, 2020) approved the protocols used to recruit participants and to collect data before conducting this study. All participants provided written informed consent before completing the survey.
The sample is made up of 15,375 participants from 23 countries (7 European: Belarus, Bulgaria, Croatia, Hungary, Italy, Romania, Russia; 11 Asian: Armenia, India, Indonesia, Iran, Iraq, Jordan, Malaysia, Pakistan, Saudi Arabia, Thailand, Turkey; 2 African: Nigeria and Tanzania; and 3 from North, South, and Central America: Brazil, Canada, United States). The mean age of the total sample was 29 years old and mean scores of ages in each country are presented in Table 1.
The variables and instruments included in the assessment were the following: Sociodemographic information: sex, region, marital status, number of children, religion, place of residence, age, origin, educational level, family income, and chronic diseases.
Variables related to COVID-19: personal experiences with COVID-19, reaction toward measures introduced by governments, changes in attitudes toward migrants during a pandemic, isolation conditions, etc. (see questions in Table 2).
The GAD-7 consists of seven items based on seven main symptoms and examines their frequency over the past 2 weeks (Toussaint et al., 2020). Respondents report their symptoms using a 4-point Likert rating scale ranging from 0 (not at all) to 3 (almost every day) with a total score ranging from 0 to 21. Total scores across the seven items were calculated, and anxiety symptoms were classified as norm (0-4), mild (5-9), moderate (10-14), and severe (15-21) (Toussaint et al., 2020). Alpha reliability coefficients in the present study for GAD-7 were 0.895.
Anxiety as an emotional state was measured with the first part of The State-Trait Anxiety Inventory (STAI) -State Anxiety Inventory (SAI). It consists of a 20-item scale for measuring the intensity of anxiety as an emotional state. People report the intensity of their feelings of anxiety right now, at this moment by rating themselves on the following 4-point Likert scale from 1 (not at all) to 4 (very much so). Total scores of anxiety symptoms were classified as norm/low (0-30), moderate (31-45), and high (46 and above) (Spielberger, 1983). Alpha reliability coefficients in the present study for SAI were 0.766.

Data Analysis
SPSS (Version 27.0) was employed for data evaluation. Data was evaluated for missingness, and the final sample included those questionnaires in which sociodemographic information and anxiety scale responses were fully completed. The alpha reliability coefficient in the present study for GAD-7 was 0.90. The alpha reliability coefficient in the present study for SAI was 0.77.
An analysis of descriptive statistics was illustrating the country differences on anxiety scales. GLM ANOVA was used for analysis of the GAD-7 and SAI to estimate the association between sex and country on levels of anxiety. In order to explore the relationship between the questionnaires of this study and anxiety scales, factor analysis was used (factor analysis with Varimax rotation). The analysis included all questions for which loadings were higher than 0.30. We assessed statistically meaningful loadings by using the criteria of 0.32 ("poor"), 0.45 ("fair"), 0.55 ("good"), 0.63 ("very good"), and 0.71 ("excellent") (Tabachnick et al., 2007). Linear regression was used to test the associations between the GAD-7, SAI scales and four factors.

Country Differences on Anxiety Scales
Means and medians of GAD-7 and SAI scores across countries are represented in Table 3 and Figures 1, 2. Our data revealed that the highest level of anxiety during restrictions and lockdown of the first wave of COVID-19 were in participants from Iraq, Canada, Brazil, Croatia and Italy when looking at the GAD-7 scale (Figure 1). Most of the highest levels of state anxiety (SAI) were in Brazil, Italy, and Iran (Figure 2). Lowest anxiety countries were Malaysia, Indonesia, Thailand (measured by GAD-7), Romania and Nigeria (measured by SAI) (Figures 1, 2 and Table 3).
As for the level of state anxiety SAI, low values were observed in 43.08% (6589) of respondents, moderate -49.42% (7560), and high -7.50% (1147). Cross-cultural differences of levels of SAI anxiety scales are demonstrated in Figure 4. The largest percentage of people with the highest levels of anxiety (red color) were found in Brazil (34%) and Italy (26%) (Figure 4). The lowest percentage of people with the highest levels of anxiety were detected in Iran (1%) and Tanzania (1%) (Figure 4).

Anxiety Scales and Personal Experiences With COVID-19
In order to explore the relationship between the questionnaires of this study and anxiety scales, factor analysis was used (Varimax   Table 2, the factor loadings of the ten items ranged between 0.55 and 0.75, suggesting that each item substantially contributes to the factor at good and excellent levels. The four factors explained 45.08% of total variance. The first factor (PC1), interpreted as personal awareness of the threat of COVID-19, accounted for 13.48% of variance. The second factor (PC2) explained 11.60% of variance and reflected personal reaction toward officially undertaken measures and attitudes to foreigners. The third factor (PC3) revealed that 10.47% of total variance was associated with personal trust in official sources. Finally, the fourth factor (PC4) explained 9.53% of variance and was interpreted as personal experience with COVID-19. Three factors correlated significantly with both scales of anxiety; however, the correlations were not high, and this was especially evident for positive correlation between the level of anxiety and personal awareness of the threat of COVID-19 (PC1) ( Table 4). High levels of anxiety were significantly correlated with low levels of personal trust in official sources (PC3) and with high levels of presence of personal experience with COVID-19 (PC4) ( Table 4).
The results of GLM ANOVA with GAD-7 as the dependent variable, sex and country as fixed factors, and four selected factors as covariates, revealed significant main effects of sex In the next step we estimated the relationship between anxiety scales and four factors using regression analysis. Significant linear effects on GAD-7 were demonstrated with PC1, PC3, and PC4 in the total sample ( Table 5). Countries with high levels of anxiety assessed the more real personal awareness of the threat of COVID-19 (PC1) and had more personal experience with COVID-19 (PC4). Low levels of anxiety were observed in those people who personally trusted official sources (PC3).
Strong significant linear effects on SAI have been demonstrated for all four factors ( Table 6). Personal  trust in official sources (public trust that the measures introduced by government are sufficient and introduced in a timely manner) correlated significantly with lower self-reported anxiety. Also, personal reaction toward officially undertaken measures and attitudes to foreigners correlated significantly with lower self-reported anxiety.
The results of a regression analysis with GAD-7 as tested variable and the four factors as independent variables per each country are presented in Table 7. We excluded Tanzania from analysis, as some questions were not completed by respondents from this country.
In the case of the first factor (PC1), 11 countries demonstrated a positive association between anxiety and personal awareness of the threat of COVID-19 (Croatia, Hungary, India, Jordan, Malaysia, Pakistan, Romania, Russia, Saudi Arabia, United States), meaning that a high levels of anxiety were registered for people with high levels of personal awareness of the threat of COVID-19. The exception was Malaysia. The Malayan respondents with significantly higher levels of GAD-7 were those who reported a low level of personal awareness of the threat of COVID-19 ( Table 7).
The second factor (PC2) significantly predicted of anxiety only in two countries -Russia and Hungary. More anxious people in these countries were those who did not believe in officially undertaken measures and think that measures were introduced too late, as well as those who felt more hostile and suspicious reaction to foreigners ( Table 7).
Personal trust in official sources (PC3) was the significant predictor of GAD-7 in 13 countries -Belarus, Brazil, Croatia, India, Indonesia, Iran, Jordan, Nigeria, Pakistan, Russia,    Saudi Arabia, Turkey, and the United States. High levels of anxiety in these countries were associated with low personal trust in government and official sources ( Table 7). Personal experience with COVID-19 (PC4) was a significant predictor of GAD-7 in 9 countries -Armenia, Canada, India, Indonesia, Malaysia, Russia, Saudi Arabia, Turkey, and the United States. The citizens from these countries who fell ill themselves or had someone infected within their close environment had higher ratings of anxiety ( Table 7).
The results of a regression analysis with SAI for each country are presented in Table 8. Again, we excluded Tanzania from the analysis, as some questions were not completed in this country.
In the case of the first factor (PC1), 17 countries demonstrated a positive association between anxiety and personal awareness   Table 8).
The second factor (PC2) was a significant predictor of anxiety SAI only in 5 countries -Hungary, Nigeria, Russia, Turkey, and Thailand. More anxious people in four of these countries (Hungary, Russia, Turkey, and Thailand) were those who did not believe in officially undertaken measures and thought that measures were introduced too late, as well as those who felt more hostile and suspicious reaction to foreigners. On the contrary, in Nigeria this association was positive ( Table 8).
Personal trust in official sources (PC3) was a significant predictor of anxiety SAI in 12 countries -Belarus, Brazil, Canada, Hungary, India, Indonesia, Nigeria, Pakistan, Russia, Saudi Arabia, Turkey, United States. The level of anxiety decreased with trust in official sources. The high level of anxiety in these countries was associated with low personal trust in government and official sources ( Table 8).
Personal experience with COVID-19 (PC4) was a significant predictor of anxiety SAI in 7 countries -Armenia, Brazil, Canada, India, Indonesia, Russia, and the United States. People with personal experience of coronavirus reported higher ratings of anxiety (Table 8).

DISCUSSION
The results of the current cross-cultural study revealed differences in anxiety variables between the participants from 23 countries during the first wave of COVID-19, as well as differences in association with the personal awareness of  The bold values show significant association.
the threat of COVID-19, personal reaction toward officially undertaken measures and attitudes to foreigners, personal trust to official sources and personal experience with COVID-19.

Country Differences in Anxiety Scales
Our data revealed that the highest GAD-7 scores during restrictions and lockdown of the first wave of COVID-19 were in participants from Iraq, Canada, Brazil, Croatia, Italy (when looking at the GAD-7 scale) and Brazil, Italy, Iran (SAI scale). Most of these countries rated highest in the number of total confirmed cases of COVID-19 ( Figure 5). Lowest anxiety scores were in participants from Malaysia, Indonesia, Thailand (as measured by GAD-7), Romania and Nigeria (as measured by SAI). All are rated as countries with medium numbers of total confirmed cases ( Figure 5). These results may be discussed in line with cultural dimensions, such as collectivism/individualism or tightness/looseness. Collectivistic societies put more emphasis on group interest over personal interests and enjoyment, which is in contrast to individualistic societies (Hofstede, 2001). The dimension of cultural tightness-looseness refers to the strength of cultural norms: tight culture (e.g., Pakistan, Singapore, South Korea, and China) allows little room for individual liberty and poses high censuring pressure, whereas a loose culture provides members more room for discretion (Gelfand et al., 2011). The data presented by Kowal et al. (2020), revealed no association along the continuum of individualism-collectivism and anxiety. In this study participants with the high ratings of anxiety were from countries which scored high on individualism and looseness indexes (Canada, Italy, United States, Brazil) (Hofstede, 2001;Gelfand et al., 2011). In contrast, the least anxious ratings were obtained for respondents from collectivistic countries (Thailand, Indonesia, Malaysia, and Nigeria). Other authors stated that Brazil, Colombia, and the United States demonstrated higher levels of anxiety compared to Israel, Germany, and Norway (Maekelae et al., 2020). The study conducted on 54 nations tested how the cultural variations in individualism and tightness affected the containment of COVID-19 during a 30-day period of government intervention (restrictions and measures to mitigate or stop the virus) (Cao W. et al., 2020).
It demonstrated significant relationships between cultural variables and national performance in slowing the spread of the coronavirus, measured by the three tightness-looseness indexes (namely, changes in the prevalence rate, crude mortality rate and case fatality rate -and their interaction). Loose and individualistic nations experienced higher rates of increases in infected cases and deaths than tight and collectivistic ones (Cao W. et al., 2020).

Anxiety and Personal Awareness of the Threat of COVID-19
High levels of anxiety were significantly correlated with high levels of personal awareness of the threat of COVID-19 in our study in both anxiety scales for a majority of countries. High level of GAD-7 anxiety was associated with more personal awareness of the threat of COVID-19 in Croatia, Hungary, India, Jordan, Malaysia, Pakistan, Romania, Russia, Saudi Arabia, and the United States, but not in Malaysia. Personal awareness of the threat of COVID-19 was a significant predictor of SAI anxiety in Armenia, Brazil, Bulgaria, Croatia, Hungary, India, Indonesia, Italy, Jordan, Malaysia, Nigeria, Pakistan, Romania, Russia, Saudi Arabia, Turkey, and the United States. Past research on the impact of the epidemics on psychological health has shown that a fear of infection has been a good predictor of increased stress (Cava et al., 2005;Desclaux et al., 2017;Brooks et al., 2020;Luo et al., 2021). The same is true for recent studies; for example, in Jordan fear toward the COVID-19 outbreak correlated with downloaded applications to trace COVID-19 cases, and many respondents mentioned that they were very afraid of the COVID-19 virus and were feeling uncomfortable thinking about it or when watching news and stories related to the pandemic on social media (Abuhammad et al., 2021). Another study reported that 72% of Indian respondents had concerns for themselves and their loved ones during the COVID-19 pandemic (Roy et al., 2020). In Italy, a collective ritual has been consolidating during the first phases of the pandemic, as evidence of this threat: listening on a daily basis to civil protection's announcements of the number of deaths, contagions, and people who had to be hospitalized or even admitted to intensive care units. Some compared this ritual to that of tuning to BBC radio during the Second World War (Cipolletta and Ortu, 2021, p. 280). Coronavirus anxiety positively correlated with fear about coronavirus in an online survey of 398 adult Amazon MTurk workers in the United States (Lee et al., 2020). Recent data suggest, however, that accurate public risk perceptions are critical to effectively managing public health risks (Dryhurst et al., 2020). Particularly, it was found that higher collective efficacy beliefs reduced risk perceptions about COVID-19 in Spain, Japan, Mexico, the United Kingdom, and the United States (Dryhurst et al., 2020). Hence, it may be concluded, that the factor of awareness of the real danger of a pandemic associates with other significant factors, especially with the trust in official sources (government, official mass media, laws and restrictions), the reaction on taken measures and the personal experiences of COVID-19. Lastly, a systematic review and meta-analysis of fear of COVID-19 across 44 articles with a sample size of 52,462 showed the mean of fear of COVID-19 was high around the world (Luo et al., 2021).

Anxiety and Personal Reaction Toward Officially Undertaken Measures and Attitudes to Foreigners
A high level of GAD-7 anxiety in our study was significantly correlated with low levels of personal reaction toward officially undertaken measure (did not believe in officially undertaken measures and think that measures were introduced too late) and attitudes to foreigners (felt more hostile and suspicious reaction to foreigners) in two countries: Russia and Hungary. In the case of the SAI scale this factor significantly predicted anxiety level in five countries -Russia and Hungary, as well as Nigeria, Turkey, and Thailand. More anxious people in all these countries (excluding Nigeria) were those who did not believe in officially undertaken measures and think that measures were introduced too late, as well as those who felt more hostile and suspicious reaction to foreigners. In the case of Russia, this may be interpreted in terms of the high levels of power distance (extent to which the less powerful members of organizations and institutions (like the family) accept and expect that power is distributed unequally) found in earlier works (Javidan and Dastmalchian, 2009;Fedenok and Burkova, 2020) on the one hand, and by spatial proximity to China and the common border on the other hand. According to other findings from Brazil, Colombia, Germany, Israel, Norway and US, more worried and stressed people showed less trust in authority, and expressed high pessimism related to governmental ability to control the outbreak (Maekelae et al., 2020). Previous experience with epidemics, as well as current data, suggest that anxiety and fear related to infection may lead to various acts of discrimination (McCauley et al., 2013;Monson, 2017;Chui, 2020;Ren et al., 2020). For example, it is known that people from Wuhan were targeted and blamed for the COVID-19 outbreak by other Chinese people, and the Chinese people in the whole have been stigmatized internationally in media, as the COVID-19 has been entitled as the "China virus"/the "Wuhan virus"/the "New Yellow Peril" (Chui, 2020;Ren et al., 2020). Dating back to 2014, during Ebola outbreak, people of African descent were intensively discriminated outside Africa (Monson, 2017), and during the 2009 H1N1 flu outbreak in the United States the Mexicans and migrant workers were subjected to discrimination (McCauley et al., 2013). Since the spread of COVID-19 in January 2020 the United Kingdom and the United States have seen an increase in reports of violence and hate crimes against people of Asian descent and an overall rise in anti-Chinese sentiments (Usher et al., 2020). Misinformation plays an important role in this discrimination and government and health officials should be aware of this problem, and be able to help protect the vulnerable and endangered groups of population. Perceived mixed and unclear messaging from state authorities can also result in public confusion and fear (Han et al., 2018). Research conducted in Poland and the United Kingdom showed a positive relationship between media exposure in the both countries, and prejudice against four foreign nationalities (Sorokowski et al., 2020). The same is true, with obviously 1 FIGURE 5 | Total confirmed cases of COVID-19 across 23 countries (WHO data).
negative reactions toward Italians in Europe and United States, i.e., the nations struggling with the most severe COVID-19 outbreak at the time of the study (Sorokowski et al., 2020).

Anxiety and Personal Trust in Official Sources
Personal trust in official sources was a significant predictor of GAD-7 in 13 countries from our study, including Belarus, Brazil, Croatia, India, Indonesia, Iran, Jordan, Nigeria, Pakistan, Russia, Saudi Arabia, Turkey, and the United States, and was a predictor of SAI anxiety level in 12 countries, including Belarus, Brazil, Canada, Hungary, India, Indonesia, Nigeria, Pakistan, Russia, Saudi Arabia, Turkey, and the United States. Respondents from these countries who did not trust official sources exhibited higher anxiety scores. Past studies of the 2001 foot and mouth disease and the 2009 swine flu showed that perceptions of government action were associated with judgments of trust (Poortinga et al., 2004;van der Weerd et al., 2011;Dryhurst et al., 2020). A study of social distancing in the context of the coronavirus pandemic conducted among Russianspeaking respondents living or staying in various countries at the time of the outbreak and spread of the coronavirus also demonstrated that individual behavior in the context of the COVID-19 pandemic has been affected by country of residence, trust in authorities, awareness of the prescribed rules of behavior, and cultural norms and traditions (Fedenok and Burkova, 2020). Moreover, these factors affected both the perception of the situation and the implementation of the authorities' recommendations. According to earlier findings, trust and beliefs in the effectiveness of the adopted restrictions contribute to the observance of the recommended preventive measures of behavior (Maddux and Rogers, 1983). It should also be mentioned, that variations in reactions of political leaders around the world in the time of the COVID-19 outbreak not only affected the country infection rate, but also the rate of public trust in leaders and people's responses to the pandemic Maekelae et al., 2020;Wilson, 2020).

Anxiety and Personal Experience With COVID-19
High levels of anxiety were significantly correlated with personal experience with COVID-19. It was a significant predictor of GAD-7 in 9 countries -Armenia, Canada, India, Indonesia, Malaysia, Russia, Saudi Arabia, Turkey, and the United States; and SAI in seven countries -Armenia, Brazil, Canada, India, Indonesia, Russia, and the United States. People from countries where citizens had been familiar with a new coronavirus or other pandemic infections revealed the higher ratings of anxiety. These findings are generally consistent with the data of another crosscultural study conducted in the United Kingdom, United States, Australia, Germany, Spain, Italy, Sweden, Mexico, Japan, and South Korea that people with direct personal experience of infection turned to perceive the risk of COVID-19 significantly more seriously (Dryhurst et al., 2020). A study of the impact of COVID-19 experiences and associated stress showed that COVID-19 experiences were consistently associated with higher odds of probable anxiety and depression diagnoses and predicted large proportions of variance (R 2 ≥ 30%) in anxiety, depression, and functional impairment, with the worst outcomes associated with a confirmed COVID-19 diagnosis and death of relatives and close friends (Gallagher et al., 2020). Current research has documented elevated symptoms of depression, anxiety, and stress among those who have contracted COVID-19 (Yao et al., 2020).

CONCLUSION
The results presented in this paper revealed the general increase of anxiety during the first wave of the COVID-19 pandemic, as well as cross-cultural variations in the level of anxiety observed. Along with the findings from other scholars (Berta et al., 2020;Brooks et al., 2020;Cao C. et al., 2020;Chen et al., 2020;Kowal et al., 2020;Maekelae et al., 2020;van Bavel et al., 2020;Rodríguez et al., 2021;etc.), as well as our previous data , we conclude, that feelings of anxiety as well as being stressed is a normal reaction of the human psyche in the face of global threat. Age, sex, education, living conditions, having family, economic status, access to internet and mobile communications are among the universal factors potentially affecting personal anxiety during pandemic Butovskaya et al., 2021;Semenova et al., 2021). Individuals reacted differently to a health-threatening condition such as COVID-19, based on their own illness behavior -this concept to describe the different ways in which individuals may perceive, evaluate, and react to certain physical symptoms (Mechanic, 1995;Cosci and Guidi, 2021). Illness behavior represents the result of different interacting variables, including individual, social, and cultural determinants. In our research cross-cultural differences in levels of anxiety, as well as the proportion of citizens being stressed by the pandemic, vary due to a number of factors, including personal comprehension of the danger and understanding of its consequences, trust in the government, hostility to foreigners, information presented by media, and previous experience with pandemics.
The developmental trajectory of the epidemic situation in the countries, investigated during the first wave, provided additional sources of information. Our data from 23 countries showed that such cultural dimensions as individualism/collectivism, power distance and looseness/tightness may function as protective adaptive mechanisms against the development of anxiety disorders in a pandemic situation . Countries with high distance to power, strict governmental restrictions and quarantine measures, high availability of medical services, and afterward with access to COVID-19 vaccines and effective state programs for the vaccination of citizens, were generally doing better in terms of the number of infected and deaths per capita. Whether country-level anxiety has been fluctuating in accordance with positive or negative changes in this respect remains to be tested in the future. This study provides interesting findings that may help to plan tailored interventions aimed to reduce anxiety related to COVID-19, considering cultural differences. The varying psychological responses observed during the COVID-19 pandemic can be effectively subsumed under the conceptual framework of illness behavior. It may substantially impact on the use of healthcare services, treatment adherence, and self-management behaviors.

Limitation
Limitations of the current study include the disproportionate representation of women to men. Additionally, it is important to acknowledge that while the overall sample included over 15,000 participants, the representation in some countries (i.e., Armenia, Iraq) was quite low, which limits our ability to examine within-country differences. In addition, the magnitude of changes in anxiety and depression symptoms will vary under political and cultural situation in each country (for example, in this study, the level of anxiety in Iraq was very high, and this was a consequence not only of COVID-19, but also of a difficult political situation in the country). Differences in the roles of men and women across cultures have not been accounted in frame of this study, but future research needs to further explore these relationships to better understand gender differences in pandemic responses. Another consideration is that participation in this study was limited to those with a stable internet connection (to complete the questionnaire), which precluded participation from those without this access. We did not measure countries' policies relating to COVID-19 and mortality rates, which may also be an important predictor of anxiety increase. Because the situation with COVID-19 is rapidly changing, we anticipate that some of the things we will consider may seem plausible today but might not be relevant tomorrow.

DATA AVAILABILITY STATEMENT
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

ETHICS STATEMENT
The studies involving human participants were reviewed and approved by Scientific Council of the Institute of Ethnology and Anthropology of the Russian Academy of Sciences. The patients/participants provided their written informed consent to participate in this study.

AUTHOR CONTRIBUTIONS
MB and VB: conceptualization, data analysis, writing-original draft preparation, visualization, and project administration. MB, VB, and AR: methodology. VB: data curation. All authors contributed to the data collections, resources, read and agreed to the published version of the manuscript.