Anxiety, Health Self-Perception, and Worry About the Resurgence of COVID-19 Predict Fear Reactions Among Genders in the Cuban Population
Yunier Broche-Pérez1,2* 
Zoylen Fernández-Fleites1,2 
Evelyn Fernández-Castillo1,2 
Elizabeth Jiménez-Puig1,2 
Annia Esther Vizcaíno-Escobar1 
Dunia M. Ferrer-Lozano1 
Lesnay Martínez-Rodríguez1 
Reinier Martín-González1- 1Psychology Department, Universidad Central “Marta Abreu” de Las Villas, Santa Clara, Cuba
- 2CognitiON (Cuban Iniciative on Cognitive Health), Santa Clara, Cuba
The resurgence of COVID-19 could deepen the psychological impacts of the pandemic which poses new challenges for mental health professionals. Among the actions that should be prioritized is the monitoring of the groups that have shown greater psychological vulnerability during the first stage of the pandemic. The first aim of our study is to explore the fear reactions to COVID-19 between genders during the second wave of the outbreak in Cuba. Second, establish possible predictors of fear of COVID-19 in relation to gender. Specifically, we will evaluate how anxiety related to COVID-19, health self-perception, and worry about the resurgence of COVID-19 predict fear reactions among women and men in the Cuban population. A cross-sectional online study was designed. The research was conducted between August 16 and October 18, 2020. A total of 373 people completed the online survey. A socio-demographic questionnaire, the Fear of COVID-19 Scale and the Coronavirus Anxiety Scale were used. An independent-samples t-test was conducted to compare the fear, worry, anxiety and self-perceived health scores, between genders. The relationship between those variables and fear of COVID-19, was investigated using Pearson correlation coefficient. Finally, multiple linear regression was used to evaluate the possible associations (predictors) related to fear of COVID-19. In our study, women, compared to men, presented greater fear reactions, greater concern about resurgence of COVID-19 and poorer self-perceived health. Anxiety reactions in our sample showed no differences between genders. In women, anxiety of COVID-19, worry about resurgence of COVID-19, and self-perceived health are associated with fear reactions to COVID-19. In the case of men, the self-perceived health showed no associations with fear reactions. Our results confirm the results of several related investigations during the first wave of the pandemic where women have shown greater psychological vulnerability compared to men. However, we cannot rule out that the real impact of the pandemic on mental health in men is much greater than that described by the studies conducted to date. Additional studies are needed on the psychological impact of COVID-19 on men.
Introduction
Since December 2019 the world has faced a common enemy: the new coronavirus disease 2019 (COVID-19). This new disease (caused by the virus designated as SARS-CoV-2), has constituted an extraordinary challenge for global public health (1).
COVID-19 is also characterized by its fast transmission and high mortality (2). To date (11/12/20), 52 million people have fallen ill with COVID-19, with 1.29 million people dying from the disease (3). The presence of non-communicable chronic diseases (hypertension, diabetes, obesity, chronic renal impairment, etc.), age over 60 years, and the existence of respiratory diseases have been associated with higher mortality rates (4, 5).
In the absence of a definitive cure, measures to contain the spread of the disease include restriction of movement, physical distancing, the establishment of quarantines, the closure of public places (bars, schools, gyms, airports, etc.), and the use of face masks (6, 7).
The measures implemented to contain the pandemic have reduced the growth in the number of cases, preventing the collapse of medical services and saving thousands of lives (8). However, these measures have had a considerable impact on the mental health of the population (9, 10).
In this sense, several studies have been carried out to explore the impact of the pandemic on people's mental health. Among the most frequent mental health problems related to COVID-19 outbreak reported to date are anxiety, insomnia, stress, post-traumatic stress symptoms (PTSS) depression, anger, and fear (10–17).
Currently, the resurgence of the disease in several countries around the world indicates the beginning of the second wave of COVID-19 (18). According to some authors, the second wave of COVID-19 constitutes a significant threat at the social level, exacerbating the impact caused by the first wave in sectors such as the economy and public health (19). Additionally, the resurgence of COVID-19 could deepen the psychological impacts of the pandemic (20), which poses new challenges for mental health professionals around the world. In our opinion, among the actions that should be prioritized at this stage is the monitoring of the groups that have shown greater psychological vulnerability during the first stage of the pandemic.
Women are among the most vulnerable groups in terms of mental health during the current pandemic. The greater vulnerability of women, in comparison to men, in terms of mental health during the current pandemic is related to biological, psychological and sociocultural factors (21). For example, from a biological perspective in situations of acute stress, women show a lower adaptation to hypersecretion of the corticotropin-releasing factor (CRF) (2), making them more vulnerable to developing mental disorders involving hyperarousal (22).
This pattern of response to stress has an expression in the prevalence of mental disorders that are diagnosed more frequently in women. Persistent exposure to stressful situations increases the vulnerability to develop posttraumatic stress disorder, panic disorder, and major depression, disorders that are diagnosed more frequently in women (23). These differences between women and men in terms of the psychopathological profile have been previously reported in non-pandemic times. For example, in response to situations of chronic stress, women generally develop phobia, depression, anxiety, and panic disorders more frequently than men (24).
However, the risk that the current pandemic poses to women's mental health cannot be understood solely in biological terms. In addition, there are socio-cultural factors that also create a gap between genders. For example, around 70% of healthcare and social services workforce are women, increasing the risk of infection by the virus (25) unlike men who are generally exposed to the virus in a non-health care setting (26). Additionally, in countries like Singapore and Germany more women than men have lost their jobs during the current pandemic and also a greater number of women have seen their formal work hours reduced and their domestic work hours increased (27).
In the long term, being unemployed has a negative impact on mental health, increased relative-risk of death by suicide, compared with being employed (28). On the other hand, during the current pandemic caregiver responsibilities have increased, especially after the closure of childcare centers (21), potentially increasing stress and negatively impacting psychological well-being, especially in women (29). This scenario places women in a position of increased vulnerability during the current pandemic, having a negative impact on their mental health.
Several studies to date have found that women, compared to men, have experienced higher levels of psychological discomfort, depression, anxiety, psychological distress, insomnia, adjustment disorder, and fear related to COVID-19 (16, 30–33).
Fear has been one of the most studied emotional reactions during the current outbreak. This emotion is defined as an unpleasant state due to the perception of threat (34) acting as an intervening variable between a set of context-dependent stimuli and suites of behavioral response (35). During the pandemic, fear has shown an adaptive function by stimulating self-care behaviors (36, 37). However, high levels of fear increase distress and anxiety, increasing vulnerability to develop mental illness (34).
In this sense, it has been proven that women are more susceptible to developing disorders related to fear responses compared to men (38). A tentative etiological explanation for this phenomenon has been the existence of a longer extinction duration of fear generalization in women (39). These results have also been supported by neuroimaging studies. In the case of women, during the fear conditioning process, greater BOLD-signal changes have been observed the right amygdala, right rostral anterior cingulate (rACC) and dorsal anterior cingulate cortex (dACC) (40). This characteristic would contribute to a greater risk to the mental health of women compared to men when they are exposed to stressful situations that evoke fear responses.
In the literature, different predictors of fear reactions have been described in the general population. For example, it has been shown that anxiety, intolerance of uncertainty, perceived infectability, worry, media exposure, and depression has been associated with fear of COVID-19 in the general population (41–46).
The Current Study
The first case of COVID-19 in Cuba was reported on March 11, 2020. To date (26/01/2021), more than 22 600 cases positive of COVID-19 have been reported in Cuba and 200 people have died from this disease (47).
During the first 4 months of the fight against the pandemic, the measures of the Cuban government and the Ministry of Public Health included the mandatory use of the face mask, the closure of international borders, the closure of schools, and the establishment of quarantines in places with significant outbreaks of the disease (Cuba's COVID-19 strategy, 2020). These measures made it possible to significantly reduce the number of positive cases throughout the country.
However, since August 2020, the country has experienced a sustained increase in the number of positive cases for the disease. In the first 8 days of August alone, 255 cases were confirmed, representing 90% of the confirmed cases in July (Ministry of Public Health, 2020). Although the use of face masks and social distancing remain mandatory, the authorities will no longer isolate those who have been in contact with suspected cases, school activities are restarted, airports are open and economic activity in the country is reactivated.
This scenario constitutes a major challenge for mental health, as people must return to their daily activities even when there is no cure for the disease, potentially increasing fear and anxiety reactions, especially in the most vulnerable groups.
In Cuba, a study conducted by Broche-Pérez et al. (33) during the first wave of the disease found a greater fear response related to COVID-19 in women. However, the authors did not explore predictors of fear reactions in the sample, making it difficult to design interventions that reduce the negative impact of the outbreak on the mental health of women and men. The design of interventions is very important in the Cuban context considering that the country is already facing the resurgence of COVID-19.
In this study we will focus specifically on how anxiety related to COVID-19, health self-perception and worry about the resurgence of the outbreak are related to fear reactions to COVID-19 in the Cuban population. Although the terms fear, anxiety and worry are sometimes used synonymously, they are separate constructs. Both fear and anxiety are the result of adaptive defensive behavior that aims to escape a threat or motivational conflict (48). However, according to Öhman (49) fear reactions denotes dread of impeding, disaster and an intense urge to defend oneself, and anxiety has been described as an ineffable and unpleasant foreboding. On the other hand, worry and anxiety should also be considered as separate constructs (50). While worry is related to problem-focused and adaptive coping strategies, anxiety is associated with negative affect (51).
The first objective of our study is to explore the fear reactions to COVID-19 between genders during the second wave of the outbreak in Cuba. Second, to establish possible predictors of fear of COVID-19 (anxiety related to COVID-19, health self-perception, and worry about the resurgence of COVID-19) among women and men in the Cuban population.
Materials and Methods
Study Design and Participants
A cross-sectional online study was designed. To disseminate the survey, the Google Forms® platform was used. The survey was released through social media (Facebook, WhatsApp, and Telegram). An announcement of the study was also published on the website of the Wellbeing Center of the Universidad Central “Marta Abreu” de Las Villas. The research was conducted between August 16 and October 18, 2020. All Cuban citizens over 18 years were eligible. A total of 373 people completed the online survey. For this sample size, a power analysis was running (post hoc) using the G*Power software (version 3.1.9.2) (52). Considering the statistical test (multiple linear regression), and the number of predictors (three predictor) the sample showed a power of.99.
Instruments
Background Information
The demographic variables explored included the age, gender and education. To evaluate health self-perception, we use the ad hoc question “how do you consider your health is?” [from 1 (“very poor”) to 5 (“excellent”)]. To explore worry about the resurgence of COVID-19 we used the ad hoc question “how concerned are you about the resurgence of COVID-19?” [from 1 (“not at all”) to 5 (“very concern”)].
The Fear of COVID-19 Scale
The Fear of COVID-19 Scale (FCV-19S) (41) is made up of seven items with a five-item Likert-point response from 1 (“strongly disagree”) to 5 (“strongly agree”). The score range of the FCV-19S is 7 to 35. Higher scores indicate greater fear of COVID-19. In this study, the Cuban version of the scale was used (53). For the Cuban population the Cronbach alpha coefficient was 0.80.
The Coronavirus Anxiety Scale
The Coronavirus Anxiety Scale (CAS) (54) was developed to assess the anxiety reactions related to COVID-19 pandemic. The CAS consists of 5 items with a Likert-point response from 0 (“not at all”) to 4 (“nearly every day over the last 2 weeks”). The original version of CAS has excellent internal consistency, with a Cronbach alpha coefficient reported of 0.93. For the Cuban population the Cronbach alpha coefficient was 0.88 (33).
Procedure
The study protocol was approved by the ethics committee of the Department of Psychology of the Universidad Central “Marta Abreu” de Las Villas. All procedures performed in this study were in accordance with the ethical standards of the 1964 Helsinki Declaration. Informed consent was obtained from all participants included in the study.
Data Analysis
The data were processed using SPSS/Windows (version 21). Descriptive statistics was used to explore participants' characteristics. An independent-samples t-test was conducted to compare the fear of COVID-19 scores, worry about resurgence of COVID-19, anxiety related to COVID-19 and self-perceived health between genders. Results with p < 0.05 were regarded as significant. The Cohen's d were calculated to estimate effect sizes in all comparisons. Values above 0.2, 0.5, and 0.8 were considered as small, medium, and large effect size, respectively (55). The relationship between fear of COVID-19, anxiety related to COVID-19, worry about resurgence of COVID-19 and self-perceived health was investigated using Pearson product-moment correlation coefficient. Finally, multiple linear regression was used to evaluate the effects of worry about resurgence of COVID-19, anxiety related to COVID-19 and self-perceived health over fear of COVID-19 scores.
Results
Characteristics of Participants
Table 1 shows the characteristics of the participants. The mean age of participants (n = 373) was 32.1 years, with a range between 18 years to 81 years old. In the study women predominate, representing 63.9% of the participants. Most of the participants (76.7%) finished college. In the sample, 279 participants (74.8%) rated their health as “very good” or “excellent.” On the other hand, 291 participants (78%) expressed feeling “concerned” or “very concerned” with the second wave of COVID-19.
Table 1. Characteristics of survey participants (N = 373).
Comparisons Between Genders on the Fear of Coronavirus-19 Scale and Related Variables
The results of the comparison of variables between groups are shown in Table 2. There are significant differences in fear of COVID-19, worry about resurgence of COVID-19 and self-perceived health between genders. The female participants showed higher levels of fear of COVID-19 and worry about resurgence. Women also perceived their health status as poorer compared to men. No differences between female and male participants were found in anxiety related to COVID-19.
Table 2. Comparisons between genders on the Fear of Coronavirus-19 Scale and related variables.
Correlations Between Variables
The relationship between fear of COVID-19, anxiety related to COVID-19, worry about resurgence of COVID-19 and self-perceived health was investigated using Pearson product-moment correlation coefficient (Table 3). Preliminary analyses were performed to ensure no violation of the assumptions of normality, linearity and homoscedasticity. There was a strong, positive correlation between the fear of COVID-19, anxiety related to COVID-19 and worry about resurgence of COVID-19, with high levels of fear of COVID-19 associated with high levels of anxiety and worry about resurgence of COVID-19. It was also found a negative correlation between the fear of COVID-19 and self-perceived health with high levels of fear associated with lower levels of self-perceived health.
Table 3. Correlations between gender on the Fear of Coronavirus-19 Scale and related variables.
There is a statistically significant difference in the strength of the correlation between fear of COVID-19 and self-perceived health for males and females (z = −2.90; p = 0.003). The correlation between fear of COVID-19 and anxiety (z = 0.84; p = 0.40) and between fear of COVID-19 and worry about resurgence of COVID-19 (z = −1.32; p = 0.18) did not show significant differences in the strength of the correlations between the groups.
Regression Analysis
A multiple regression analysis was run to predict fear of COVID-19 levels between genders from anxiety related to COVID-19, worry about resurgence of COVID-19 and self-perceived health. The Table 4 shows that the independent variables statistically significantly predict the dependent variable (for both groups) (male: F(3, 131) = 54.766, p < 0.0001, R2 = 0.55; female: F(3, 234) = 74.928, p < 0.0001, R2= 0.49). In the case of women, the three variables included in the analysis made it possible to predict fear reactions in this group (p < 0.05). In the case of men, the variables anxiety related to COVID-19 and worry about resurgence of COVID-19 showed associations with fear reactions in this group (p <0.001). However, self-perceived health was not a predictor of fear reactions to COVID-19 in the case of men (p = 0.30).
Table 4. Predictors of Fear of COVID-19.
Discussion
The first objective of our study was to explore the fear reactions to COVID-19 between genders during the second wave of the outbreak in Cuba. Second, to establish possible predictors of fear of COVID-19 in relation to gender. In our study, women, compared to men, presented greater fear reactions, greater concern about resurgence of COVID-19 and poorer self-perceived health. The anxiety reactions between men and women did not show significant differences.
Additionally, we verified that anxiety related to COVID-19, concern about the resurgence of COVID-19 and self-perceived health showed associations with the fear response in the case of women. In the case of men, the self-perceived health variable does not predict fear reactions.
Several studies conducted during the pandemic have confirmed a greater psychological vulnerability in women compared to men. For example, research has confirmed in women a greater experience of fear, post-traumatic stress symptoms (PTSS), adjustment disorder anxiety, depression and anxiety (9, 16, 32, 33, 56–59).
In the specific case of fear, our study supports the results reported by Broche-Pérez et al. (33) during the first wave of the disease in Cuba. In our study, women also showed a greater fear reaction compared to men. The mean reported by Broche-Pérez et al. (33) in the first study was 17.9 (SD ± 8.05) for men and 21.9 (SD ± 6.9) for women. In our study, the mean for men was 17.34 (SD ± 6.29) and 19.02 (SD ± 5.93) for women. We also found that women showed poorer self-perceived health compared to men, and that self-perceived health values have an inverse relationship with fear reactions (better self-perceived health is related to less fear reaction). This result is consistent with studies showing that, around the world, women tend to rate their self-perceived health as weaker compared to men (60). This result is important because it has been proven that poorer self-perceived health is related to poorer mental health. For example, more self-perceived health has been associated with a greater experience of depression, anxiety and psychological distress in various populations (61–65).
During the pandemic, it has been reported that the lowest levels of self-perceived health reported by women have been related to residing in places with a high prevalence of the disease (66), however, more studies are needed to explore the relationship between self-perceived health and mental health outcomes during the current pandemic. The gap between women and men in relation to self-perception of health has been attributed in part to social factors (gender inequality index, education or employment) rather than to behavioral factors (67).
On the other hand, worry about resurgence was also higher in women compared to men. In the past, worry have been related to depressive rumination (31) generalized anxiety (6), panic disorder, and obsessive-compulsive disorder (30). During the pandemic, elevated levels of worry have been related to higher levels of anxiety, stress, intrusive thoughts, avoidance and fear of mental health (1, 68). However, greater worry in women can also have a positive effect by stimulating safety behaviors, such as the use of personal protective equipment (68). In the Cuban context, the concerns related to COVID-19 during the second wave could be closely related to the return to daily life, the opening of schools, airports, and the increase in the number of infections compared to the first wave.
These results show a greater vulnerability in women compared to men. This results may have several tentative explanations, both from a biological, and sociocultural perspective. For example, there is evidence on the differences between women and men in relation to reactivity to stress, which is related to the prevalence and presentation of many psychiatric disorders (2, 22, 69). For example, women more frequently develop mental disorders in response to situations involving hyperarousal (22), closely related to fear responses. This vulnerability in women could be related, among other factors, to a lower adaptation of women to hypersecretion of the orticotropin-releasing factor (CRF) (2).
On the other hand, there are also sociocultural factors that increase the vulnerability of women during the current pandemic. For example, gender roles (70, 71), long-existing inequalities, and social disparities (72) are among the factors that exacerbate the impact on mental health in women during the current pandemic.
However, in our opinion the fact that most of the studies conducted during the pandemic report a greater psychological impact of the outbreak on women does not mean that men are exempt from risk. In fact, we cannot rule out that the real impact of the pandemic on mental health in men is much greater than that described by the studies conducted to date. This is especially important in countries where the social construction of gender is structured around a “hegemonic masculinity.” For example, in Latin America the term “machismo” refers a set of attitudes and identities associated with the concept of masculinity (73). This implies that men to be “really men” must suppress their emotions, they must not worry about their health, they must show great inner strength and they must have self-control (74). This social construction of masculinity has a negative impact on the general health and mental health of men (73, 75, 76), even when the results of most research during the pandemic place greater emphasis on the vulnerability of women.
The results obtained must be considered when designing interventions to reduce the impact of the current pandemic on the mental health of Cuban women. Interventions should be implemented as soon as possible, because evidence suggests that delays in receiving psychological treatment result in higher rates of baseline negative psychological symptoms (77). To date, in Cuba, psychological intervention actions have been carried out using telepesychology, both in its synchronous mode (telephone counseling, and support groups through WhatsApp) and asynchronous (design of mobile applications and self-help bulletins) (78, 79). For example, from the Community Mental Health Centers and the Women and Family Orientation Houses, support groups could be implemented where women receive training in stress and anxiety management.
However, to date we are not aware of other studies carried out in Cuba during the current pandemic in which other types of interventions such as cognitive behavioral therapy (CBT) were implemented. The use of brief cognitive behavioral interventions is of great importance, above all because of its proven effectiveness in disorders related to anxiety and fear responses (80). There are international experiences that have implemented CBT during the current outbreak, demonstrated effectiveness in reducing psychological distress in vulnerable populations, including women (77).
Our study presents some limitations that must be discussed. First, the study sample is relatively small. The size of our sample is fundamentally due to the difficulties in internet connectivity that still exist in the country and to the prices of the service. This causes that many potential participants who receive the survey do not complete it. It is possible that participants with a medium or high socioeconomic status predominate in our sample, however this variable was not explored. In this sense, in future studies it would be convenient to explore the socioeconomic status of the participants included in the study. In future studies, other variables related to the family should also be explored in greater depth, such as the quality of the health of close relatives (children, grandparents, etc.). This variable would allow a better understanding of fear reactions in the Cuban population. On the other hand, the presence of psychiatric antecedents in the participants must also be studied in depth, which may explain the variability in fear reactions among Cubans. It would also be interesting to stratify the sample by educational levels, considering that in our study most of the participants have tertiary education, which has been related to better general health (81). Despite these limitations, we consider that our study offers a first approach to the mental health of the Cuban population with an emphasis on gender differences.
Conclusions
In conclusion, during the second wave of COVD-19 in Cuba, women show greater psychological vulnerability compared to men. The women reported greater experiences of fear, greater concern about the resurgence of COVID-19 and worse self-perceived health. The anxiety reactions between genders did not show significant differences in our sample. Additionally, we found that the variables anxiety, concern for the resurgence and self-perceived health allow predicting the response to fear in the case of women. In the case of men, the self-perceived health variable did not constitute a statistical predictor of the level of fear. It is important to delve into the psychological impact of the pandemic on men, considering that some characteristics related to the social construction of gender could mask the reality of mental health in this gender. Our results will allow the design of interventions in the Cuban context considering that the country is already facing the resurgence of COVID-19.
Interventions must be designed and implemented briefly and must also use evidence-based techniques that are culturally adapted to the Cuban context.
Data Availability Statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: http://dx.doi.org/10.17632/srtb8gnrkp.1.
Ethics Statement
The studies involving human participants were reviewed and approved by Universidad Central Marta Abreu de Las Villas, Department of Psychology. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
YB-P analyzed the data, and was responsible for preparing the first draft of the article. All authors contributed to the study design. All authors contributed to the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1. Han Q, Lin Q, Jin S, You L. Coronavirus 2019nCoV: a brief perspective from the front line. J Infect. (2020) 80:373–7. doi: 10.1016/j.jinf.2020.02.010
2. Moghanibashi-Mansourieh A. Assessing the anxiety level of Iranian general population during COVID-19 outbreak. Asian J Psychiatry. (2020) 51:102076. doi: 10.1016/j.ajp.2020.102076
3. World Health Organization. (2020). Coronavirus disease (COVID-19) pandemic. World Health Organization. Availavle online at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019 (accessed November 15, 2020).
4. Grasselli G, Greco M, Zanella A, Albano G, Antonelli M, Bellani G, et al. Risk factors associated with mortality among patients with COVID-19 in intensive care units in Lombardy, Italy. JAMA Intern Med. (2020) 180:1345–55. doi: 10.1001/jamainternmed.2020.3539
5. Li X, Xu S, Yu M, Wang K, Tao Y, Zhou Y, et al. Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan. J Allergy Clin Immunol. (2020) 146:110–8. doi: 10.1016/j.jaci.2020.04.006
6. Leung K, Wu JT, Leung GM. First-wave COVID-19 transmissibility and severity in China outside Hubei after control measures, and second-wave scenario planning: a modelling impact assessment. Lancet. (2020) 395:1382–93. doi: 10.1016/S0140-6736(20)30746-7
7. Tang B, Xia F, Tang S, Bragazzi NL, Li Q, Sun X, et al. The effectiveness of quarantine and isolation determine the trend of the COVID-19 epidemics in the final phase of the current outbreak in China. Int J Infect Dis. (2020) 95:288–93. doi: 10.1016/j.ijid.2020.03.018
8. Marques L, Bartuska AD, Cohen JN, Youn SJ. Three steps to flatten the mental health need curve amid the COVID-19 pandemic. Depression Anxiety. (2020)37:1–2. doi: 10.1002/da.23031
9. Pfefferbaum B, North CS. Mental health and the Covid-19 pandemic. N Engl J Med. (2020) 383:510–12. doi: 10.1056/NEJMp2008017
10. Torales J, O'Higgins M, Castaldelli-Maia JM, Ventriglio A. The outbreak of COVID-19 coronavirus and its impact on global mental health. Int J Soc Psychiatry. (2020) 66:1–4. doi: 10.1177/0020764020915212
11. Brooks SK, Webster RK, Smith LE, Woodland L, Wessely S, Greenberg N, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet. (2020) 395:912–20. doi: 10.1016/S0140-6736(20)30460-8
12. Galea S, Merchant RM, Lurie N. The Mental Health Consequences of COVID-19 and Physical Distancing: the need for prevention and early intervention. JAMA Intern Med. (2020) 80:E1–E2. doi: 10.1001/jamainternmed.2020.1562
13. Qiu J, Shen B, Zhao M, Wang Z, Xie B, Xu Y. A nationwide survey of psychological distress 331 among Chinese people in the COVID-19 epidemic: Implications and policy recommendations. Gen Psychiatry. (2020) 33:19–21. doi: 10.1136/gpsych-2020-100213
14. Rossi R, Socci V, Talevi D, Niolu C, Pacitti F, Di MArco A, et al. Trauma-spectrum symptoms among the Italian general population in the time of the COVID-19 outbreak. medRxiv. (2020) 12:1855888. doi: 10.1101/2020.06.01.20118935
15. Vindegaard N, Benros ME. COVID-19 pandemic and mental health consequences: Systematic review of the current evidence. Brain Behav Immunity. (2020) 89:531–42. doi: 10.1016/j.bbi.2020.05.048
16. Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS. Immediate Psychological Responses and 347 Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the 348 General Population in China. Int J Env Res Public Heal. (2020) 17:1729. doi: 10.3390/ijerph17051729
17. Xiang Y-T, Yang Y, Li W, Zhang L, Zhang Q, Cheung T. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. Lancet Psychiatry. (2020) 7:228–9. Disponible en: doi: 10.1016/S2215-0366(1020)30046-30048
18. Looi M-K. Covid-19: is a second wave hitting Europe? BMJ. (2020) 371:m4113. doi: 10.1136/bmj.m4113
19. Cacciapaglia G, Cot C, Sannini F. Second wave COVID-19 pandemics in Europe: a temporal playbook. Sci Rep. (2020) 10:15514. doi: 10.1038/s41598-020-72611-5
20. Peretti-Watel P, Alleaume C, Léger D, Beck F, Verger P, The COCONEL, et al. Anxiety, depression and sleep problems: a second wave of COVID-19. Gen Psychiatry. (2020) 33:e100299. doi: 10.1136/gpsych-2020-100299
21. Spagnolo PA, Manson JE, Joffe H. Sex and gender differences in health: what the COVID-19 pandemic can teach us. Ann Intern Med. (2020) 137:385–6. doi: 10.7326/M20-1941
22. Cao W, Fang Z, Hou G, Han M, Xu X, Dong J, et al. The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res. (2020) 287:112934. doi: 10.1016/j.psychres.2020.112934
23. Hodes GE, Epperson CN. Sex differences in vulnerability and resilience to stress across the life span. Biol Psychiatry. (2019) 86:421–32. doi: 10.1016/j.biopsych.2019.04.028
24. Kudielka BM, Kirschbaum C. Sex differences in HPA axis responses to stress: a review. Biol Psychol. (2005) 69:113–32. doi: 10.1016/j.biopsycho.2004.11.009
25. Boniol M, McIsaac M, Xu L, Wuliji T, Diallo K, Campbell J. Gender equity in the health workforce: analysis of 104 countries. Working paper 1. World Health Organization (2019).
26. Ahmed SB, Dumanski SM. Sex, gender and COVID-19: a call to action. Can J Public Health. (2020) 111:980–3. doi: 10.17269/s41997-020-00417-z
27. Reichelt M, Makovi K, Sargsyan A. The impact of COVID-19 on gender inequality in the labor market and gender-role attitudes. Eur Soc. (2020) 23:1–18. doi: 10.1080/14616696.2020.1823010
28. Milner A, Page A, LaMontagne AD. Long-term unemployment and suicide: a systematic review and meta-analysis. PLoS ONE. (2013) 8:e51333. doi: 10.1371/journal.pone.0051333
29. Connor J, Madhavan S, Mokashi M, Amanuel H, Johonson NR, Pace LE, et al. Health risks and outcomes that disproportionately affect women during the Covid-19 pandemic: a review. Soc Sci Med. (2020) 266:113364. doi: 10.1016/j.socscimed.2020.113364
30. Andrade EF, Pereira LJ, de Oliveira AP, Ribeiro-Orlando D, Galdino-Alvez DA, de Sales-Guilarducci J, et al. Perceived fear of COVID-19 infection according to sex, age and occupational risk using the Brazilian version of the fear of COVID-19 scale. Death Stud. (2020) 1–11. doi: 10.1080/07481187.2020.1809786
31. López-Steinmetz LC, Fong SB, Leyes CA, Dutto-Florio MA, Godoy JC. General mental health state indicators in argentinean women during quarantine of up to 80-day duration for COVID-19 pandemic. Front Glob Womens Health. (2020) 1:580652. doi: 10.3389/fgwh.2020.580652
32. Rossi R, Socci V, Talevi D, Mensi S, Niolu C, Pacitti F, et al. COVID-19 pandemic and lockdown measures impact on mental health among the general population in Italy. An N=18147 web-based 2 survey. medRxiv. (2020). doi: 10.1101/2020.04.09.20057802
33. Broche-Pérez Y, Fernández-Castillo E, Fernández-Fleites Z, Jiménez-Puig E, Vizcaíno-Escobar A, Ferrer-Lozano D, et al. Adaptation of the cuban version of the coronavirus anxiety scale. Death Stud. (2020) 1–5. doi: 10.1080/07481187.2020.1855610
34. Schimmenti A, Starcevic V, Giardina A, Khazaal Y, Billieux J. Multidimensional assessment of COVID-19-related fears (MAC-RF): a theory-based instrument for the assessment of clinically relevant fears during pandemics. Front Psychiatry. (2020) 11:748. doi: 10.3389/fpsyt.2020.00748
36. Harper CA, Satchell LP, Fido D, Latzman RD. Functional fear predicts public health compliance in the COVID-19 pandemic. Int J Ment Health Addict. (2020) 1–14. doi: 10.1007/s11469-020-00281-5
37. Pakpour AH, Griffiths MD. The fear of COVID-19 and its role in preventive behaviors. J Concurrent Disord. (2020) 2:58–63.
38. McLean CP, Anderson ER. Brave men and timid women? A review of the gender differences in fear and anxiety. Clin Psychol Rev. (2009) 29:496–505. doi: 10.1016/j.cpr.2009.05.003
39. Xu L, Xie X, Yan P, Li J, Zheng X. Sex differences in fear generalization. Acta Psychologica Sinica. (2018) 50:197–205. doi: 10.3724/SP.J.1041.2018.00197
40. Lebron-Milad K, Abbs B, Milad MR, Linnman C, Rougemount-Bücking A, Zeidan MA, et al. Sex differences in the neurobiology of fear conditioning and extinction: a preliminary fMRI study of shared sex differences with stress-arousal circuitry. Biol Mood Anxiety Disord. (2012) 2:7. doi: 10.1186/2045-5380-2-7
41. Ahorsu DK, Lin C-Y, Imani V, Safari M, Griffiths MD, Pakpour AH. The fear of COVID-19 scale: development and initial validation. Int J Ment Health Addict. (2020) 1–9. doi: 10.1007/s11469-020-00270-8
42. Alyami M, Henning M, Krägeloh CU, Alyami H. Psychometric evaluation of the arabic version of the fear of COVID-19 scale. Int J Ment Health Addict. (2020) 1–14. doi: 10.1007/s11469-020-00316-x
43. Asmundson GJG, Taylor S. Coronaphobia: Fear and the 2019-nCoV outbreak. J Anxiety Disord. (2020) 70:102196. doi: 10.1016/j.janxdis.2020
44. Bitan DT, Grossman-Giron A, Bloch Y, Mayer Y, Shiffman N, Mendlovic S. Fear of COVID-19 scale: psychometric characteristics, reliability and validity in the Israeli population. Psychiatry Res. (2020) 289:113100. doi: 10.1016/j.psychres.2020.113100
45. Mertens G, Gerritsen L, Duijndam S, Salemink E, Engelhard IM. Fear of the coronavirus (COVID-19): predictors in an online study conducted in March 2020. J Anxiety Disord. (2020) 74:102258. doi: 10.1016/j.janxdis.2020.102258
46. Satici B, Saricali M, Satici SA, Griffiths MD. Intolerance of uncertainty and mental wellbeing: serial mediation by rumination and fear of COVID-19. Int J Ment Health Addict. (2020) 1–12. doi: 10.1007/s11469-020-00305-0
47. Ministry of Public Health. MINSAP.cu [Internet]. La Habana: Ministry of Public Health (2020). Available online at: https://salud.msp.gob.cu/?cat=839
48. Steimer T. The biology of fear- and anxiety-related behaviors. Dialogues Clin Neurosci. (2002) 4:231–49. doi: 10.31887/DCNS.2002.4.3/tsteimer
49. Öhman A. Fear and anxiety: overlaps and dissociations. In: Lewis M, Haviland-Jones JM, Barret LF, editors, Handbook of Emotions. New York, NY: The Guilford Press (2008). p. 709–29.
50. Davey GCL, Hampton J, Farrell J, Davidson S. Some characteristics of worrying: evidence for worrying and anxiety states as separate constructs. Pers Individ Differ. (1992) 13:133–74.
51. Gana K, Martin B, Canouet M-D. Worry and anxiety: is there a causal relationship? Psychopathology. (2001) 34:221–9.
52. Faul F, Erdfelder E, Buchner A, Lang A-G. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. (2009) 41:1149–60. doi: 10.3758/BRM.41.4.1149
53. Broche-Pérez Y, Fernández-Fleites Z, Jiménez-Puig E, Fernández-Castillo E, Rodríguez-Martin BC. Gender and fear of COVID-19 in a Cuban population sample. Int J Ment Health Addict. (2020) 1–9. doi: 10.1007/s11469-020-00343-8
54. Lee SA. Coronavirus anxiety scale: a brief mental health screener for COVID-19 related anxiety. Death Stud. (2020) 44:393–401. doi: 10.1080/07481187.2020.1748481
55. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2 ed. New York, NY: Academic Press (1988).
56. Horesh D, Kapel Lev-Ari R, Hasson-Ohayon I. Risk factors for psychological distress during the COVID-19 pandemic in Israel: Loneliness, age, gender, and health status play an important role. Br J Health Psychol. (2020) 25:925–33. doi: 10.1111/bjhp.12455
57. Liu N, Zhang F, Wei C, Jia Y, Shang Z, Sun L. Prevalence and predictors of PTSS during 322 COVID-19 outbreak in China hardest-hit areas: gender differences matter. Psychiatry Res. (2020) 287:112921 112921. doi: 10.1016/j.psychres.2020.112921
58. Mohammadpour M, Ghorbani V, Khoramnia S, Ahmadi SM, Ghvami M, Maleki M. Anxiety, Self-Compassion, Gender Differences and COVID-19: Predicting Self-Care Behaviors and Fear of COVID-19 Based on Anxiety and Self-Compassion with an Emphasis on Gender Differences. Iran J Psychiatry. (2020) 15:213. doi: 10.18502/ijps.v15i3.3813
59. Rajkumar RP. COVID-19 and mental health: a review of the existing literature. Asian J Psychiatry. (2020) 52:102066. doi: 10.1016/j.ajp.2020.102066
60. Franco-Jimenez R. Traducción y análisis psicométrico del Coronavirus Anxiety Scale (CAS) en jóvenes y adultos peruanos. Interacciones Revista de Avances en Psicología. (2020) 6:e159. doi: 10.24016/2020.v6n2.159
61. Evren C, Evren B, Dalbudak E, Topcu M, Kutlu N. Measuring anxiety related to COVID-19: a turkish validation study of the coronavirus anxiety scale. Death Stud. (2020) 1–7. doi: 10.1080/07481187.2020.1774969
62. Ferketich S. Focus on psychometrics. Aspects of item analysis. Res Nurs Health. (1991) 14:165–8.
63. Mahmood QK, Jafree SR, Quereshi WA. The psychometric validation of FCV19S in Urdu and socio-demographic association with fear in the people of the Khyber Pakhtunkhwa (KPK) province in Pakistan. Int J Ment Health Addict. (2020) 1–11. doi: 10.1007/s11469-020-00371-4
64. Malhotra C, Chaudhry I, Ozdemir S, Teo I, Finkelstein EA. Anxiety and perceived risk during COVID-19 outbreak. medRxiv. (2020). doi: 10.1101/2020.07.24.20161315
65. Salehi L, Rahimzadeh M, Molaei E, Zaheri H, Esmaelzadeh-Saeieh S. The relationship among fear and anxiety of COVID-19, pregnancy experience, and mental health disorder in pregnant women: a structural equation model. Brain Behav. (2020) 10:e01835. doi: 10.1002/brb3.1835
66. Dryhurst S, Schneider CR, Kerr J, Freeman ALJ, Recchia G, van der Bles AM, et al. Risk perceptions of COVID-19 around the world. J Risk Res. (2020) 23:1–13. doi: 10.1080/13669877.2020.1758193
67. Mora-Magaña I, Lee SA, Maldonado-Castellanos I, Jiménez-Puig C, Mendez-Venegas J, Maya-del-Moral A, et al. Coronaphobia among healthcare professionals in Mexico: A psychometric analysis. Death Stud. (2020) 1–10. doi: 10.1080/07481187.2020.1808762
68. Hu B, Guo H, Zhou P, Shi Z-L. Characteristics of SARS- CoV-2 and COVID-19. Nat Rev Microbiol. (2020) 19:141–54. doi: 10.1038/s41579-020-00459-7
69. Valtorta N, Hanratty B. Loneliness, isolation and the health of older adults: do we need a new research agenda?. J R Soci Med. (2012) 105:518–22. doi: 10.1258/jrsm.2012.120128
70. Choi E, Lee J, Sherman AL. Validation of the Korean version of the obsession with COVID-19 scale and the Coronavirus anxiety scale. Death Stud. (2020). doi: 10.1080/07481187.2020.1833383
71. Lee SA, Jobe MC, Mathis AA. Mental health characteristics associated with dysfunctional coronavirus anxiety. Psychol Med. (2020) 1–2. doi: 10.1017/S003329172000121X
72. Gao J, Zheng P, Jia Y, Chen H, Mao Y, Chen S, et al. Mental health problems and social media exposure during COVID-19 outbreak. PLoS ONE. (2020) 15:e0231924. doi: 10.1371/journal.pone.0231924
73. Lee SA, Mathis AA, Jobe MC, Pappalardo EA. Clinically significant fear and anxiety of COVID-19: A psychometric examination of the Coronavirus Anxiety Scale. Psychiatry Res. (2020) 290:113112. doi: 10.1016/j.psychres.2020.113112
74. Ladikli N, Badhadir E, Yumusak FN, Akkuzu H, Karaman G, Turkkan Z. The reliability and validity of Turkish version of coronavirus anxiety. Int J Soc Sci. (2020) 3:71–80.
75. Ahmed O, Faisal RA, Sharker T, Lee SA, Jobe MC. Adaptation of the Bangla Version of the COVID-19 anxiety scale. Int J Ment Health Addict. (2020) 1–12. doi: 10.1007/s11469-020-00357-2
76. Ashraf F, Lee SA, Crunk EA. Factorial validity of the Urdu version of the obsession with COVID-19 scale: preliminary investigation using a University Sample in Pakistan. Death Stud. (2020) 1–6. doi: 10.1080/07481187.2020.1779436
77. Soklaridis S, Lin E, Lalani Y, Rodak T, Sockalingam S. Mental health interventions and supports during COVID- 19 and other medical pandemics: a rapid systematic review of the evidence. Gen Hosp Psychiatry. (2020) 66:133–46. doi: 10.1016/j.genhosppsych.2020.08.007
78. Otero-Ramos IM, Fernández-Castillo E, Rodríguez-Gonzáles DR, Vizcaíno-Escobar AE. La autoayuda en tiempos de la COVID-19. Revista Cubana de Medicina Militar. (2020) 49:e0200846.
79. Zas-Ros B, Torralbas JE, Calviño M, Escalona AL, Barber C, Caballero CM, et al. Evaluación del servicio de orientación psicológica a distancia a través de los psicogrupos de Wahtsaap durante la pandemia de COVID-19 en Cuba. Revista Cubana de Psicología. (2020) 2:84–102.
80. Hofmann SG, Asnaani A, Vonk IJ, Sawyer AT, Fang A. The efficacy of cognitive behavioral therapy: a review of meta-analyse. Cogn Ther Res. (2012) 36:427–40. doi: 10.1007/s10608-012-9476-1
Keywords: gender, fear of COVID-19, resurgence, anxiety, health self-perception, worry
Citation: Broche-Pérez Y, Fernández-Fleites Z, Fernández-Castillo E, Jiménez-Puig E, Vizcaíno-Escobar AE, Ferrer-Lozano DM, Martínez-Rodríguez L and Martín-González R (2021) Anxiety, Health Self-Perception, and Worry About the Resurgence of COVID-19 Predict Fear Reactions Among Genders in the Cuban Population. Front. Glob. Womens Health 2:634088. doi: 10.3389/fgwh.2021.634088
Received: 26 November 2020; Accepted: 23 February 2021;
Published: 24 March 2021.
Edited by:
Marianne Vidler, University of British Columbia, CanadaReviewed by:
Felix Henrique Paim Kessler, Federal University of Rio Grande Do Sul, BrazilEric Andrade, Universidade Federal dos Vales Do Jequitinhonha e Mucuri, Brazil
Copyright © 2021 Broche-Pérez, Fernández-Fleites, Fernández-Castillo, Jiménez-Puig, Vizcaíno-Escobar, Ferrer-Lozano, Martínez-Rodríguez and Martín-González. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yunier Broche-Pérez, yunierbp@uclv.edu.cu; yunierbroche@gmail.com; orcid.org/0000-0002-3450-7374