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. 2022 Mar 17;13:727034. doi: 10.3389/fpsyt.2022.727034

Gender Differences in Depressive and Anxiety Symptoms During the First Stage of the COVID-19 Pandemic: A Cross-Sectional Study in Latin America and the Caribbean

Percy Herrera-Añazco 1,2,3, Diego Urrunaga-Pastor 3,4, Vicente A Benites-Zapata 2,5,*, Guido Bendezu-Quispe 6, Carlos J Toro-Huamanchumo 5,7, Adrian V Hernandez 8,9
PMCID: PMC8968114  PMID: 35370810

Abstract

Background

Previous studies have suggested that the pandemic impact on mental health could vary according to gender. We aimed to evaluate the gender influence in the prevalence of depressive and anxiety symptoms in Latin American and the Caribbean (LAC) countries in the first stage of the COVID-19 pandemic.

Methods

We conducted a secondary analysis employing the Facebook–COVID-19 Symptom Survey developed by the University of Maryland. We categorized gender as men, women, and non-binary. The outcomes were the presence of anxiety or depressive symptoms, measured with two adapted questions extracted from the Kessler Psychological Distress Scale (K10). We used generalized linear models from the Poisson family, considering the survey's complex sampling. We calculated crude and adjusted prevalence ratios (PR) with their 95% confidence intervals (95% CI) and explored interactions with gender using the adjusted Wald test.

Results

We included 1,338,320 adults from LAC countries; 48.0, 50.6, and 1.4% were men, women, and non-binary participants, respectively. The overall prevalence of anxiety or depressive symptoms was 44.8 and 46.6%, respectively. We found interactions between gender and the rest of the independent variables. In the non-binary group, the association between age and anxiety symptomatology was lost after an age of 55 years. Furthermore, whereas living in a town was associated with a lower prevalence of anxiety and depression symptomatology in men and women, this did not happen among non-binary individuals. Compliance with physical distancing was associated with a lower prevalence of anxiety and depression symptomatology among women (anxiety: PRa = 0.98; 95% CI = 0.97–0.99; p < 0.001, depression: PRa = 0.96; 95% CI = 0.95–0.97; p < 0.001) and only anxiety in non-binary participants (anxiety: PRa = 0.92; 95% CI = 0.88–0.98; p = 0.005). This was not evidenced among men participants (anxiety: PRa = 0.99; 95% CI = 0.96–1.01; p = 0.199, depression: PRa = 0.98; 95% CI = 0.96–1.00; p = 0.084). In addition, compliance with handwashing was associated with a higher prevalence of anxiety symptomatology among men (PRa = 1.06; 95% CI = 1.05–1.11; p < 0.001) and women participants (PRa = 1.03; 95% CI = 1.01–1.05; p = 0.016).

Conclusion

Approximately 4 out of 10 participants had anxiety or depressive symptoms. Women and non-binary gender people had more symptoms of anxiety or depression. The factors associated with these symptoms varied according to gender. It is essential to evaluate gender-related strategies to improve mental health during the COVID-19 pandemic.

Keywords: Latin America, anxiety, depression, gender identity, COVID-19

Introduction

The COVID-19 pandemic produced substantial adjustments worldwide in people's lifestyles and catastrophic costs to nation's economies (1, 2). To lessen the impact of the pandemic, national quarantines were initiated in the first months of the crisis in the Latin American and the Caribbean (LAC) countries, in order to expand the care capacity of the health systems of these nations, which are characterized by problems of governance and infrastructure, and a lack of qualified human resources limiting patient care during the peak of the pandemic (3–6).

Although not present in LAC, in recent decades, there have been outbreaks of viral infections that have required quarantines in some Asian countries, which increased the presence of factors associated with stress and anxiety described during these periods of quarantine (7–11). These factors include the risk of being infected, death and infection of relatives and friends, feeling of loneliness and social isolation, physical and emotional fatigue of health workers, massive loss of employment, financial insecurity and poverty, and infodemic (12–14). Previous studies involving infected patients and people in quarantine found significant levels of psychological distress, hopelessness, anxiety, depression, anger, and fear of contagion (7–11). Likewise, a meta-analysis involving 25 studies developed in the course of severe acute respiratory syndrome (SARS) and Middle Eastern respiratory syndrome (MERS) outbreaks, both part of the coronavirus family, described that patients experienced significant effects such as anxiety and lack of sleep (7).

During the COVID-19 quarantine, a rise in the prevalence of anxiety and depression symptoms has been reported in comparison with the prevalence in general population prior to the pandemic (15). Several systematic reviews and meta-analyses show that the prevalence of anxiety and depressive symptoms varies between 6.33 and 50.9% and 14.6 and 48.3%, respectively, during the peak of the pandemic (16–23). Although previous studies (15, 24) and studies performed during the pandemic (16, 18, 23) have suggested that women may be more affected by symptoms of anxiety and depression than men, this does not correlate with some systematic reviews during the COVID-19 peak (19, 20), and some studies have even found that men have more anxiety symptoms (25). These controversial findings could be due to sociocultural aspects that do not allow extrapolation of these results in LAC countries. Similarly, people of non-binary gender have a high prevalence of disorders related to mental health (26). A multicenter study in countries in Europe and Southeast Asia suggested that mental health disorders increased during the pandemic (27). However, as with results in women, sociocultural aspects do not allow their extrapolation in countries in Latin America.

Although some studies that evaluate mental health, including depression and anxiety, during the pandemic in the Latin American countries such as Argentina (28), Brazil (29), Mexico (30), and Ecuador have been published (31), the effect of gender on the prevalence of depressive and anxiety symptoms during the pandemic in the LAC countries has not been evaluated. Therefore, our objective was to evaluate this association in the LAC countries during the first stage of the COVID-19 pandemic.

Methods

Design and Study Area

We carried out a secondary analysis of a database generated by social network Facebook (Facebook, Inc.) and the University of Maryland. This database was constructed based on a virtual survey, to obtain relevant information at the population level within the context of the COVID-19 pandemic. The survey included five modules: sociodemographic characteristics, contact report, general health, mental health, and economic security throughout the pandemic. It was initially conducted on April 23, 2020 and was translated and adapted according to the regions that use Facebook (32). We published a previous study using this database (33), in which the methodology was described in greater detail.

Population and Sample

The population for this study included users of the Facebook platform over 18 years of age from the LAC countries, which corresponded to 1,440,586 people from 20 countries. People who answered the modules of mental health and sociodemographic characteristics were considered for the analysis, and our exclusion criterion was the absence of complete information related to the variables of interest. The final sample analyzed included 1,338,320 participants. The analysis period comprised surveys from April 23 to May 23, 2020.

Variables and Procedure

Outcomes

Depressive Symptomatology

This was evaluated using one adapted question from the Kessler Psychological Distress Scale (K10): “In the past seven days, how often did you feel depressed?” This question allowed five answers (all of the time, most of the time, some of the time, a little of the time, and none of the time) (34). The variable was dichotomized as absence of depressive symptoms when the selected answer was “none of the time” and presence of depressive symptoms in any of the four remaining options.

Anxiety Symptomatology

This was evaluated using the K10 adapted question: “During the last seven days, how often did you feel so nervous that nothing could calm you down?” This question allowed five possible answers (all of the time, most of the time, some of the time, a little of the time, and none of the time) (34). This variable was dichotomized considering the absence of anxiety symptoms as none of the time and the presence of anxiety symptoms as any of the four remaining options.

The K10 is a short scale that is easily applied by first-level care personnel and has been used in different studies at the population level. This scale has a Spanish translation and has been applied in various studies in Spain, Colombia, Mexico, and Peru (34, 35), making it an appropriate instrument for the purposes of this research.

Independent Variables

Sociodemographic information was included and categorized as gender (categorized as male, female, and non-binary), age (presented as 18–24, 25–34, 35–44, 45–54, 55–64, 65–74, and 75 or more years), and area of residence (town, rural area, and city).

Likewise, suspicious symptoms of COVID-19 were included as a covariate, defined as the presence of three or more symptoms compatible with an acute infection of COVID-19 (cough, fever, loss of smell, fatigue, chest pain, headache, coryza, respiratory distress, eye pain, sore throat, muscle pain, and nausea) in line with the World Health Organization (WHO) definition of a suspected case (36).

In addition, we considered as covariate the compliance with the principal community mitigation strategies (CMS) (physical distancing, washing of hands, and mask using). Compliance with physical distancing was stablished as not having direct contact (even kissing, touching, hugging, and hand shaking) in the last 24 h for more than 1 min and within 2 m of anyone that does not share the same household. Handwashing compliance was defined as a report of at least one handwash after being in public during the last 7 days. Likewise, compliance with the use of a mask was defined as wearing a mask at least once in public within the prior 7 days.

Food insecurity was evaluated with the question: “How worried are you about having enough to eat in the next week?” which allowed the following responses: very worried, somewhat worried, not too worried, and not worried at all. The first three options were defined as a presence of food insecurity.

The fear that the participant or a member of the participant's family could fall seriously ill from COVID-19 was also included as a covariate and was assessed with the following question: “How worried are you that you or someone in your immediate family might become seriously ill from coronavirus (COVID-19)?,” and its four probable answers: very worried, somewhat worried, not too worried, and not worried at all. Then we stablished “not worried at all” as the lack of fear that the participant or any member of the participant's family could be affected by COVID-19 and any of the other three options as the presence of this condition.

Statistical Analysis

The database was downloaded in Microsoft Excel sheets and imported into the statistical software Stata v14.0 (StataCorp, TX, USA). All analyses considered the survey's complex sampling via the “svy” command.

Qualitative variables were described using weighted proportions according to complex sampling, with their 95% confidence intervals (95% CI) and absolute frequencies. The bivariate analysis between the outcomes (depression and anxiety symptomatology) and the covariates were performed using the Chi-squared test with Rao–Scott correction taking into account the survey's complex sampling. To explore factors associated with anxiety or depression symptomatology, we employed generalized linear models of the Poisson family with logarithmic link function. Crude and adjusted prevalence ratios (PR) and 95% CIs were estimated. In the adjusted model, we included only the variables with a statistically significant p-value (p < 0.05) obtained from the crude model. In addition, we evaluated the possible interaction of gender using the adjusted Wald test.

Ethical Aspects

Authorization was obtained from the University of Maryland to carry out the study and the institution that provided access to the analyzed database. The database was downloaded without identifiers of the survey participants, safeguarding the non-identification of participants.

Results

Characteristics of the Study Population

We analyzed the data of 1,338,320 adults from the LAC countries who answered the survey during April–May 2020. A total of 48.0% (n = 590,950) of the participants were men, while 50.6% (n = 732,701) and 1.4% (n = 14,669) were women and non-binary, respectively. Among the participants, 61.5% (n = 1,012,541) were <45 years of age. Suspected symptoms of COVID-19 were described in 18.6% (n = 280,168), and 75.8% (n = 1,028,162) reported food insecurity. Additionally, 92.3% (n = 1,251,992) reported feeling worried about falling seriously ill or that a family member would fall seriously ill from COVID-19. The prevalence of anxiety and depressive symptoms was 44.8% (n = 640,418) and 46.6% (n = 678,932), respectively (Table 1). The bivariate analysis showed statistically significant differences among anxiety symptoms or depressive symptomatology and the variables of interest (Table 2).

Table 1.

Descriptive and bivariate analysis of the study sample characteristics (n = 1,338,320; N = 11,524,713).

Total
Characteristics Absolute frequency of participants surveyed Weighted proportion according to each category
n % 95% CI
Age (years)
18–24 317,015 18.1 17.4–18.8
25–34 412,580 24.8 24.1–25.5
35–44 282,946 18.6 18.3–19.0
45–54 179,402 18.7 18.4–19.0
55–64 104,614 11.1 10.7–11.6
65–74 35,690 7.5 16.9–8.0
75 years or older 6,073 1.2 1.1–1.3
Living area
City 1,052,221 78.9 75.7–81.8
Town 186,023 13.8 11.5–16.5
Village or rural area 100,076 7.3 6.6–8.0
COVID-19 symptomatology
No 1,058,152 81.4 80.5–82.3
Yes 280,168 18.6 17.7–19.5
Physical distancing
No 570,523 40.5 39.1–42.0
Yes 767,797 59.5 58.0–60.9
Handwashing
No 163,022 13.3 12.3–14.4
Yes 1,175,298 86.7 85.6–87.7
Mask or face covering use
No 215,551 17 15.4–18.7
Yes 1,122,769 83 81.3–84.6
Worried about having enough to eat next week
No 310,158 24.2 23.1–25.4
Yes 1,028,162 75.8 74.6–76.9
Worried about a family member getting sick with COVID-19
No 86,328 7.7 7.0–8.5
Yes 1,251,992 92.3 91.5–93.0
Anxiety symptomatology
No 697,902 55.2 54.6–55.8
Yes 640,418 44.8 44.2–45.4
Depressive symptomatology
No 659,388 53.3 52.5–54.0
Yes 678,932 46.7 46.0–47.5
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95% CI, 95% confidence interval.

Table 2.

Bivariate analysis of the study sample characteristics according to anxiety or depression (n = 1,338,320; N = 11,524,713).

Anxiety symptomatology Depression symptomatology
No Yes No Yes
Characteristics Weighted proportion according to each category Weighted proportion according to each category p-Value Weighted proportion according to each category Weighted proportion according to each category p-Value
% 95% CI % 95% CI % 95% CI % 95% CI
Gender <0.001 <0.001
Male 62.0 61.4–62.5 38.0 37.5–38.6 60.6 60.0–61.3 39.4 38.7–40.0
Female 48.8 47.9–49.6 51.2 50.4–52.1 46.3 45.4–47.2 53.7 52.8–54.6
Nonbinary 55.3 52.9–57.6 44.7 42.4–47.1 52.7 49.7–55.6 47.3 44.4–50.3
Age (years) <0.001 <0.001
18–24 47.7 46.5–48.9 52.3 51.1–53.5 38.4 37.6–39.3 61.6 60.7–62.4
25–34 51.3 50.4–52.3 48.7 47.7–49.6 48.5 47.5–49.5 51.5 50.5–52.5
35–44 54.5 53.6–55.5 45.5 44.5–46.4 54.6 53.5–55.7 45.4 44.3–46.5
45–54 58.6 57.9–59.4 41.4 40.6–42.1 59.6 58.6–60.6 40.4 39.4–41.4
55–64 62.8 61.8–63.8 37.2 36.2–38.2 64.1 63.1–65.2 35.9 34.8–36.9
65–74 66.1 64.9–67.2 33.9 32.8–35.1 67.1 65.9–68.2 32.9 31.8–34.1
75 years or older 67.4 64.5–70.2 32.6 29.8–35.5 68.7 66.3–71.0 31.3 29.0–33.7
Living area <0.001 <0.001
City 54.5 53.9–55.1 45.5 44.9–46.1 52.8 52.1–53.6 47.2 46.4–47.9
Town 56.5 55.6–57.3 43.5 42.7–44.4 53.3 52.3–54.2 46.7 45.8–47.7
Village or rural area 60.5 59.4–61.5 39.5 38.5–40.6 57.9 56.7–59.0 42.1 41.0–43.3
COVID-19 symptomatology <0.001 <0.001
No 60.0 59.4–60.6 40.0 39.4–40.6 58.3 57.5–59.1 41.7 40.9–42.5
Yes 34.2 33.5–34.9 65.8 65.1–66.5 31.2 30.4–32.0 68.8 68.0–70.0
Physical distancing <0.001 <0.001
No 53.0 52.4–53.7 47.0 46.3–47.6 50.5 49.8–51.2 49.5 48.8–50.2
Yes 56.7 56.0–57.4 43.3 42.6–44.0 55.1 54.2–56.0 44.9 44.0–45.8
Handwashing <0.001 <0.001
No 60.1 59.2–61.0 39.9 39.0–40.8 56.2 55.0–57.3 43.8 42.7–45.0
Yes 54.5 53.9–55.0 45.5 45.0–46.1 52.8 52.1–53.5 47.2 46.5–47.9
Mask or face covering use <0.001 <0.001
No 59.6 58.5–60.8 40.4 39.2–41.5 55.6 54.3–56.8 44.4 43.2–45.7
Yes 54.3 53.8–54.9 45.7 45.1–46.2 52.8 52.1–53.5 47.2 46.5–47.9
Food insecurity <0.001 <0.001
No 70.4 69.3–71.5 29.6 28.5–30.7 69.4 68.2–70.7 30.6 29.3–31.8
Yes 50.3 49.7–51.0 49.7 49.0–50.3 48.1 47.3–48.9 51.9 51.1–52.7
Worried about becoming seriously ill or a family member become seriously ill with COVID-19 <0.001 <0.001
No 83.4 82.6–84.3 16.6 15.7–17.4 79.8 78.8–80.7 20.2 19.3–21.2
Yes 52.8 52.3–53.3 47.2 46.7–47.7 51.0 50.4–51.7 49.0 48.3–49.6
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95% CI, 95% confidence interval.

Prevalence of Anxiety and Depressive Symptoms According to Country

Countries with the highest prevalence of both anxiety and depression were Bolivia (43.2%; 95% CI: 42.5–44.0), Chile (41.3%; 95% CI: 40.2–42.5), Ecuador (41.3%; 95% CI: 40.1–42.6), and Peru (40.1%; 95% CI: 39.1–41.1). Likewise, those with the lowest prevalence of both symptoms were Uruguay (27.1%; 95% CI: 25.5–28.7), Dominican Republic (27.1%; 95% CI: 25.7–28.7), Costa Rica (29.0%; 95% CI: 28.2–29.9), and Honduras (29.5%; 95% CI: 28.3–30.8) (Figure 1).

Figure 1.

Figure 1

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Anxiety and depression prevalences according to the Latin American and the Caribbean countries.

Factors Associated With Anxiety Symptomatology

The adjusted model determined that women (PR = 1.30; 95% CI: 1.28–1.31) and non-binary gender (PR = 1.20; 95% CI: 1.15–1.25) had a higher prevalence of anxiety symptomatology compared with males. In addition, being 25–34 years old (PR = 0.94; 95% CI: 0.93–0.95), 35–44 (PR = 0.91; 95% CI: 0.90–0.92), 45–54 (PR = 0.86; 95% CI: 0.84–0.88), 55–64 (PR = 0.83; 95% CI: 0.80–0.86), 65–74 (PR = 0.82; 95% CI: 0.78–0.86), 75 years or older (PR = 0.86; 95% CI: 0.78–0.95), compared with being 18–24 years old, was associated with a lower prevalence of anxiety symptoms. Similarly, living in a town (PR = 0.96; 95% CI: 0.94–0.98) or in a village or rural area (PR = 0.90; 95% CI: 0.88–0.91) was associated with a lower prevalence of anxiety symptoms when compared with living in a city. In addition, the presence of suspected symptoms of COVID-19 (PR = 1.47; 95% CI: 1.46–1.49), compliance with handwashing (PR = 1.03; 95% CI: 1.02–1.05), use of a mask (PR = 1.07; 95% CI: 1.05–1.09), food insecurity (PR = 1.45; 95% CI: 1.41–1.49), and being worried about falling seriously ill or a family member become seriously ill with COVID-19 (PR = 2.30; 95% CI: 2.20–2.41) had a higher prevalence of anxiety symptoms. In contrast, compliance with physical distancing (PR = 0.98; 95% CI: 0.97–0.99) showed an association with a lower prevalence of anxiety symptoms (Table 3).

Table 3.

Crude and adjusted generalized linear models of Poisson family with logarithmic link to evaluate the factors associated with anxiety or depression in the study sample.

Anxiety symptomatology Depression symptomatology
Characteristics Crude Adjusted Crude Adjusted
PR 95% CI p-Value PR 95% CI p-Value PR 95% CI p-Value PR 95% CI p-Value
Gender
Male Reference - - Reference - - Reference - - Reference - -
Female 1.35 1.32–1.37 <0.001 1.30 1.28–1.31 <0.001 1.37 1.34–1.39 <0.001 1.32 1.30–1.33 <0.001
Non-binary 1.18 1.12–1.23 <0.001 1.20 1.15–1.25 <0.001 1.20 1.14–1.27 <0.001 1.20 1.15–1.25 <0.001
Age (years)
18–24 Reference - - Reference - - Reference - - Reference - -
25–34 0.93 0.92–0.94 <0.001 0.94 0.93–0.95 <0.001 0.84 0.83–0.84 <0.001 0.85 0.84–0.86 <0.001
35–44 0.87 0.86–0.88 <0.001 0.91 0.90–0.92 <0.001 0.74 0.73–0.75 <0.001 0.78 0.77–0.79 <0.001
45–54 0.79 0.77–0.81 <0.001 0.86 0.84–0.88 <0.001 0.66 0.65–0.67 <0.001 0.71 0.70–0.72 <0.001
55–64 0.71 0.69–0.74 <0.001 0.83 0.80–0.86 <0.001 0.58 0.57–0.60 <0.001 0.68 0.66–0.69 <0.001
65–74 0.65 0.62–0.68 <0.001 0.82 0.78–0.86 <0.001 0.53 0.52–0.55 <0.001 0.67 0.64–0.69 <0.001
75 years or older 0.62 0.56–0.69 <0.001 0.86 0.78–0.95 0.003 0.51 0.47–0.55 <0.001 0.69 0.64–0.74 <0.001
Living area
City Reference - - Reference - - Reference - - Reference - -
Town 0.96 0.94–0.97 <0.001 0.96 0.94–0.98 <0.001 0.99 0.98–1.00 0.178 0.98 0.96–0.99 0.003
Village or rural area 0.87 0.85–0.89 <0.001 0.90 0.88–0.91 <0.001 0.89 0.87–0.91 <0.001 0.90 0.88–0.92 <0.001
COVID-19 symptomatology
No Reference - - Reference - - Reference - - Reference - -
Yes 1.64 1.63–1.66 <0.001 1.47 1.46–1.49 <0.001 1.65 1.63–1.67 <0.001 1.44 1.43–1.45 <0.001
Physical distancing
No Reference - - Reference - - Reference - - Reference - -
Yes 0.92 0.91–0.94 <0.001 0.98 0.97–0.99 0.004 0.91 0.89–0.92 <0.001 0.97 0.96–0.98 <0.001
Handwashing
No Reference - - Reference - - Reference - - Reference - -
Yes 1.14 1.12–1.16 <0.001 1.03 1.02–1.05 <0.001 1.08 1.06–1.10 <0.001 1.00 0.99–1.02 0.701
Mask or face covering use
No Reference - - Reference - - Reference - - Reference - -
Yes 1.13 1.11–1.16 <0.001 1.07 1.05–1.09 <0.001 1.06 1.04–1.09 <0.001 1.03 1.01–1.05 <0.001
Food insecurity
No Reference - - Reference - - Reference - - Reference - -
Yes 1.68 1.63–1.73 <0.001 1.45 1.41–1.49 <0.001 1.68 1.63–1.73 <0.001 1.44 1.40–1.49 <0.001
Worried about becoming seriously ill or a family member become seriously ill with COVID-19
No Reference - - Reference - - Reference - - Reference - -
Yes 2.85 2.71–2.99 <0.001 2.30 2.20–2.41 <0.001 2.85 2.71–2.99 <0.001 1.94 1.87–2.02 <0.001
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95% CI, 95% confidence interval.

Factors Associated With Depressive Symptomatology

In the adjusted model, women participants (PR = 1.32; 95% CI: 1.30–1.33) and non-binary (PR = 1.20; 95% CI: 1.15–1.25) had a higher prevalence of depressive symptomatology in comparison with males. Alternatively, being 25–34 years old (PR = 0.85; 95% CI: 0.84–0.86), 35–44 (PR = 0.78; 95% CI: 0.77–0.79), 45–54 (PR = 0.71; 95% CI: 0.70–0.72), 55–64 (PR = 0.68; 95% CI: 0.66–0.69), 65–74 (PR = 0.67; 95% CI: 0.64–0.69), 75 years or older (PR = 0.69; 95% CI: 0.64–0.74), compared with being 18–24 years old, was associated with a lower prevalence of this symptomatology. Living in a village or rural area (PR = 0.90; 95% CI: 0.88–0.92) and in a town (PR = 0.98; 95% CI: 0.96–0.99), compared with living in a city, was also associated with a lower prevalence. Meanwhile, having suspected symptoms of COVID-19 (PR = 1.44; 95% CI: 1.43–1.45), use of a mask (PR = 1.03; 95% CI: 1.01–1.05), food insecurity (PR = 1.44; 95% CI: 1.40–1.49), and being worried about becoming seriously ill or a family member become seriously ill with COVID-19 (PR = 1.94; 95% CI: 1.87–2.02) were associated with a higher prevalence of depressive symptomatology. By contrast, compliance with physical distancing (PR = 0.97; 95% CI: 0.96–0.98) was associated with a lower prevalence of depressive symptoms (Table 3).

Factors Associated With Anxiety or Depressive Symptomatology Stratified by Gender

We found interactions between gender and the rest of the independent variables. Compared with the group of men and women, among non-binary participants, after 55 years, the association between age and anxiety symptomatology was lost. Similarly, whereas living in a town was associated with a lower prevalence of anxiety and depression symptomatology in men and women, this did not happen among non-binary participants (anxiety: PRa = 0.97; 95% CI = 0.90–1.05; p = 0.445, depression: PRa = 0.95; 95% CI = 0.88–1.03; p = 0.221) (Tables 4–6).

Table 4.

Crude and adjusted generalized linear models of Poisson family with logarithmic link to evaluate the factors associated with anxiety or depression in men participants.

Anxiety symptomatology Depression symptomatology
Characteristics Crude Adjusted Crude Adjusted
PR 95% CI p-Value PR 95% CI p-Value PR 95% CI p-Value PR 95% CI p-Value
Age (years)
18–24 Reference - - Reference - - Reference - - Reference - -
25–34 0.90 0.89–0.91 <0.001 0.92 0.91–0.93 <0.001 0.79 0.8–0.80 <0.001 0.81 0.80–0.82 <0.001
35–44 0.82 0.81–0.83 <0.001 0.87 0.86–0.88 <0.001 0.67 0.66–0.69 <0.001 0.72 0.70–0.73 <0.001
45–54 0.73 0.70–0.75 <0.001 0.80 0.78–0.83 <0.001 0.59 0.57–0.60 <0.001 0.65 0.63–0.66 <0.001
55–64 0.67 0.64–0.69 <0.001 0.78 0.75–0.81 <0.001 0.53 0.52–0.55 <0.001 0.62 0.60–0.64 <0.001
65–74 0.60 0.57–0.64 <0.001 0.77 0.73–0.82 <0.001 0.47 0.45–0.50 <0.001 0.60 0.57–0.63 <0.001
75 years or older 0.61 0.55–0.69 <0.001 0.85 0.76–0.95 0.006 0.48 0.44–0.52 <0.001 0.64 0.59–0.70 <0.001
Living area
City Reference - - Reference - - Reference - - Reference - -
Town 0.99 0.97–1.00 0.070 0.98 0.96–0.99 0.036 1.01 0.99–1.03 0.289 0.98 0.96–1.00 0.058
Village or rural area 0.88 0.85–0.91 <0.001 0.91 0.88–0.94 <0.001 0.88 0.85–0.91 <0.001 0.89 0.86–0.92 <0.001
COVID-19 symptomatology
No Reference - - Reference - - Reference - - Reference - -
Yes 1.77 1.75–1.80 <0.001 1.61 1.59–1.63 <0.001 1.76 1.74–1.79 <0.001 1.55 1.53–1.57 <0.001
Physical distancing
No Reference - - Reference - - Reference - - Reference - -
Yes 0.90 0.88–0.92 <0.001 0.99 0.96–1.01 0.199 0.89 0.88–0.91 <0.001 0.98 0.96–1.00 0.084
Handwashing
No Reference - - Reference - - Reference - - Reference - -
Yes 1.22 1.19–1.25 <0.001 1.06 1.03–1.08 <0.001 1.11 1.08–1.15 <0.001 1.00 0.98–1.03 0.756
Mask or face covering use
No Reference - - Reference - - Reference - - Reference - -
Yes 1.18 1.13–1.23 <0.001 1.08 1.05–1.11 <0.001 1.08 1.04–1.12 <0.001 1.04 1.01–1.06 0.005
Food insecurity
No Reference - - Reference - - Reference - - Reference - -
Yes 1.79 1.73–1.86 <0.001 1.53 1.49–1.58 <0.001 1.80 1.73–1.87 <0.001 1.52 1.47–1.58 <0.001
Worried about becoming seriously ill or a family member become seriously ill with COVID-19
No Reference - - Reference - - Reference - - Reference - -
Yes 2.72 2.59–2.85 <0.001 2.21 2.11–2.31 <0.001 2.31 2.22–2.41 <0.001 1.88 1.81–1.94 <0.001
Open in a new tab

95% CI, 95% confidence interval.

Table 6.

Crude and adjusted generalized linear models of Poisson family with logarithmic link to evaluate the factors associated with anxiety or depression in non-binary participants.

Anxiety symptomatology Depression symptomatology
Characteristics Crude Adjusted Crude Adjusted
PR 95% CI p-Value PR 95% CI p-Value PR 95% CI p-Value PR 95% CI p-Value
Age (years)
18–24 Reference - - Reference - - Reference - - Reference - -
25–34 0.90 0.84–0.97 0.005 0.92 0.85–0.99 0.039 0.75 0.69–0.80 <0.001 0.77 0.71–0.83 <0.001
35–44 0.85 0.79–0.92 <0.001 0.92 0.85–0.98 0.016 0.68 0.62–0.74 <0.001 0.74 0.69–0.79 <0.001
45–54 0.74 0.65–0.83 <0.001 0.84 0.76–0.92 <0.001 0.61 0.55–0.66 <0.001 0.69 0.64–0.75 <0.001
55–64 0.79 0.67–0.92 0.002 0.91 0.81–1.02 0.108 0.63 0.52–0.76 <0.001 0.74 0.64–0.84 <0.001
65–74 0.75 0.65–0.87 <0.001 0.96 0.83–1.12 0.631 0.53 0.43–0.66 <0.001 0.69 0.56–0.84 <0.001
75 years or older 0.68 0.27–1.70 0.413 1.14 0.56–2.32 0.726 0.67 0.33–1.35 0.264 1.11 0.67–1.84 0.680
Living area
City Reference - - Reference - - Reference - - Reference - -
Town 0.93 0.85–1.01 0.087 0.97 0.90–1.05 0.445 0.91 0.84–0.98 0.019 0.95 0.88–1.03 0.221
Village or rural area 0.81 0.72–0.90 <0.001 0.88 0.79–0.97 0.009 0.87 0.79–0.97 0.009 0.94 0.86–1.02 0.116
COVID-19 symptomatology
No Reference - - Reference - - Reference - - Reference - -
Yes 1.68 1.54–1.83 <0.001 1.51 1.41–1.62 <0.001 1.80 1.64–1.97 <0.001 1.57 1.47–1.68 <0.001
Physical distancing
No Reference - - Reference - - Reference - - Reference - -
Yes 0.84 0.78–0.90 <0.001 0.92 0.88–0.98 0.005 0.85 0.76–0.95 0.005 0.95 0.89–1.02 0.200
Handwashing
No Reference - - Reference - - Reference - - Reference - -
Yes 1.20 1.11–1.30 <0.001 0.99 0.91–1.09 0.855 1.16 1.08–1.24 <0.001 0.99 0.93–1.06 0.877
Mask or face covering use
No Reference - - Reference - - Reference - - Reference - -
Yes 1.25 1.17–1.34 <0.001 1.16 1.06–1.28 0.002 1.19 1.11–1.29 <0.001 1.13 1.02–1.26 0.015
Food insecurity
No Reference - - Reference - - Reference - - Reference - -
Yes 1.77 1.49–2.09 <0.001 1.44 1.27–1.63 <0.001 1.78 1.54–2.05 <0.001 1.44 1.31–1.58 <0.001
Worried about becoming seriously ill or a family member become seriously ill with COVID-19
No Reference - - Reference - - Reference - - Reference - -
Yes 2.98 2.43–3.66 <0.001 2.45 1.93–3.12 <0.001 2.75 2.28–3.33 <0.001 2.26 1.86–2.75 <0.001
Open in a new tab

95% CI, 95% confidence interval.

Table 5.

Crude and adjusted generalized linear models of Poisson family with logarithmic link to evaluate the factors associated with anxiety or depression in women participants.

Anxiety symptomatology Depression symptomatology
Characteristics Crude Adjusted Crude Adjusted
PR 95% CI p-Value PR 95% CI p-Value PR 95% CI p-Value PR 95% CI p-Value
Age (years)
18–24 Reference - - Reference - - Reference - - Reference - -
25–34 0.94 0.93–0.96 <0.001 0.96 0.94–0.97 <0.001 0.86 0.85–0.87 <0.001 0.88 0.87–0.89 <0.001
35–44 0.91 0.90–0.92 <0.001 0.95 0.93–0.96 <0.001 0.79 0.78–0.80 <0.001 0.83 0.82–0.84 <0.001
45–54 0.82 0.81–0.84 <0.001 0.90 0.88–0.92 <0.001 0.70 0.69–0.71 <0.001 0.76 0.75–0.78 <0.001
55–64 0.74 0.71–0.78 <0.001 0.87 0.83–0.91 <0.001 0.62 0.61–0.64 <0.001 0.73 0.71–0.74 <0.001
65–74 0.67 0.64–0.70 <0.001 0.85 0.81–0.90 <0.001 0.57 0.55–0.59 <0.001 0.72 0.70–0.75 <0.001
75 years or older 0.63 0.57–0.70 <0.001 0.85 0.77–0.94 0.002 0.53 0.48–0.58 <0.001 0.70 0.64–0.77 <0.001
Living area
City Reference - - Reference - - Reference - - Reference - -
Town 0.94 0.92–0.96 <0.001 0.94 0.92–0.97 <0.001 0.99 0.97–1.00 0.148 0.97 0.96–0.99 0.002
Village or rural area 0.88 0.86–0.89 <0.001 0.89 0.88–0.91 <0.001 0.91 0.89–0.93 <0.001 0.91 0.90–0.93 <0.001
COVID-19 symptomatology
No Reference - - Reference - - Reference - - Reference - -
Yes 1.51 1.49–1.52 <0.001 1.40 1.38–1.41 <0.001 1.52 1.50–1.53 <0.001 1.38 1.36–1.39 <0.001
Physical distancing
No Reference - - Reference - - Reference - - Reference - -
Yes 0.90 0.89–0.92 <0.001 0.98 0.97–0.99 <0.001 0.88 0.87–0.89 <0.001 0.96 0.95–0.97 <0.001
Handwashing
No Reference - - Reference - - Reference - - Reference - -
Yes 1.17 1.15–1.19 <0.001 1.03 1.01–1.05 0.016 1.13 1.11–1.14 <0.001 1.01 0.99–1.02 0.404
Mask or face covering use
No Reference - - Reference - - Reference - - Reference - -
Yes 1.16 1.14–1.18 <0.001 1.06 1.04–1.08 <0.001 1.11 1.08–1.13 <0.001 1.03 1.01–1.05 0.010
Food insecurity
No Reference - - Reference - - Reference - - Reference - -
Yes 1.58 1.54–1.62 <0.001 1.39 1.35–1.43 <0.001 1.61 1.56–1.66 <0.001 1.39 1.35–1.44 <0.001
Worried about becoming seriously ill or a family member become seriously ill with COVID-19
No Reference - - Reference - - Reference - - Reference - -
Yes 2.84 2.67–3.02 <0.001 2.38 2.25–2.52 <0.001 2.39 2.26–2.53 <0.001 1.98 1.88–2.09 <0.001
Open in a new tab

95% CI, 95% confidence interval.

Women who complied with physical distancing had a lower prevalence of anxiety and depression symptomatology (anxiety: PRa = 0.98; 95% CI = 0.97–0.99; p < 0.001, depression: PRa = 0.96; 95% CI = 0.95–0.97; p < 0.001), while this was observed only in the case of anxiety for nonbinary participants (anxiety: PRa = 0.92; 95% CI = 0.88–0.98; p = 0.005). Men participants did not show lower prevalence for neither symptomatology (anxiety: PRa = 0.99; 95% CI = 0.96–1.01; p = 0.199, depression: PRa = 0.98; 95% CI = 0.96–1.00; p = 0.084). Yet, we found association between compliance with handwashing and a higher prevalence of anxiety symptomatology among men (PRa = 1.06; 95% CI = 1.05–1.11; p < 0.001) and women participants (PRa = 1.03; 95% CI = 1.01–1.05; p = 0.016), but not among non-binary participants (PRa = 0.99; 95% CI = 0.91–1.09; p = 0.855) (Tables 4–6).

Discussion

Main Findings

The study's goal was to evaluate factors associated with depressive and anxiety symptoms in the LAC countries during the first stage of quarantine due to COVID-19. In addition, we explored the gender differences on the presence of depressive or anxiety symptoms. We found that almost half of the participants had symptoms of anxiety or depression at the beginning of the pandemic. Four countries in the South American region presented the highest prevalence of anxiety or depression symptoms compared with other countries.

Previous Studies

The studies published in some LAC countries showed results that differ from ours, but they also differ in the populations evaluated and the instruments used. A Mexican study carried out in the general population that used the PHQ-9, the GAD-7, and a visual analog scale, found that 20.8% had severe anxiety symptoms, and 27.5% had severe depressive symptoms (30). In Argentina, the Brief-Symptom Inventory-53 was used to evaluate various aspects of mental health, and it was found that, in the general population evaluated, 31.8% presented symptoms of anxiety and 27.5% presented symptoms of depression (28). Finally, a Brazilian study that elaborated its own questionnaire found that 40.4% frequently had feelings of sadness or depression, and 52.6% were frequently nervous or anxious (29). We only found one previous study that evaluated psychological distress using the K10, but it was carried out in college students from Argentina, and then it would not be comparable with our study (37). Our research evaluated the general population, and therefore, it is only comparable with studies from Argentina (28) and Brazil (29).

Previous studies carried out in Spain (38–40), Turkey (41), and China (42) intended to assess factors associated with depressive and anxiety symptomatology with a gender-based approach. However, only one study carried out in Spanish adults evaluated the factors associated with anxiety and depression, stratifying by gender; however, they did not consider the non-binary gender, and measured anxiety and depression with the GAD-7 and PHQ-9, respectively. The rest of the studies considered did not include non-binary gender in their analysis; so, our study will contribute by characterizing this population. In addition, we did not find previous studies with this objective carried out in adults from the LAC countries.

Interpretation of the Results

Although various meta-analyses and systematic reviews have been published in relation to the prevalence of depression and anxiety symptoms during the COVID-19 pandemic, the results among the different studies differ (16–23). These differences could be due to variations in the measurement instruments, cutoffs used to define mild to severe symptoms, and the eligibility criteria (16–23). However, mental health was affected differently according to regions and countries in the LAC countries during the pandemic's first wave (43). Likewise, other factors that influence the results by country included differences in the economies of the nations, government preparation to respond to the crisis, the availability of supplies or medical facilities, as well as cultural differences (16). Similarly, adequate dissemination of information related to COVID-19 in each region also influenced the psychological responses of the population, especially during the introduction of quarantines, when lifestyle was jeopardized by mandatory isolation and unexpected unemployment (14, 17).

Among men participants, compliance of physical distancing had association with a lower prevalence of anxiety or depression symptomatology. This could be related to the fact that men usually have less compliance rates of physical distancing (44). Additionally, during the pandemic, they probably had to continue working, making it even more difficult to achieve this compliance, whereas we found a higher prevalence of both anxiety and depression symptomatology among women participants, with results similar to those found in previous systematic reviews and meta-analyses (16, 18, 23). This could be related to a lack of emotional support during the quarantine or differential neurobiological responses when exposed to stressors (45, 46). Likewise, despite improvements in gender roles, historically, women had limited access to education and are more oriented to household tasks. So, several cases of intimate partner violence during this period have been reported worldwide (47). Another possible explanation could lie in the lockdown effect in the work environment, housework, and childcare. Due to the traditional gender division of labor, most of the increased burden of housework and childcare at home during the COVID-19 pandemic were felt on women (48, 49).

The sexual minority population is exposed to a variety of social stressors, such as discrimination, prejudice, and stigma that contribute to increased mental health problems (26, 27). During the pandemic, a multinational study found that women and non-binary gender people reported a higher prevalence of symptoms in every measure of distress (50). In another multinational study of 76 countries, in which 68.8% of the participant's gender was non-binary, it was found that approximately half of those evaluated had depression and anxiety (27). Then the prevalence of anxiety, depressive symptoms, and suicidal ideation increased during the pandemic (27). We did not find an association between age and anxiety symptoms among non-binary participants after 55 years of age, in contrast to men and women. Although the usual onset for anxiety and depression is young adulthood (51), we consider that our results may also be due to a lack of identification with the non-binary gender in older participants (52). Similarly, we found that in unlike men and women participants, among non-binary participants, living in a town was not significantly associated with a lower prevalence of depression and anxiety symptoms. This could be related to the fact that non-binary individuals who live in town and rural areas are usually more likely to restrain their gender expressions (53).

Among the countries evaluated, we found different prevalences of anxiety and depression symptoms; however, there was a higher prevalence of both parameters in Bolivia. Information on mental health and the impact of mental disorders in Bolivia is scarce. According to statistics reported by admissions from psychiatric hospitals around the country, the leading reason for hospitalization is substance abuse, with alcoholism being responsible for 90%, along with being one of the main causes of deaths in traffic accidents and an important risk factor for domestic violence (54). In 2014, 0.46 psychologist and 1.06 psychiatrists were reported per 100,000 inhabitants. Although Bolivia has a National Mental Health Plan that guides the promotion, prevention, treatment, and rehabilitation of mental health from mental illnesses, resources are limited (54). Hence, there is a need for a mental health and gender approach to promote CMS during the pandemic in Bolivia. This approach will be useful also in other Latin American and Caribbean countries.

Limitations and Strengths

Our study has limitations. Despite being a multinational study with a significant sample, it is based on the users of a social network that not everyone can access. However, it is a widely used social network in Latin America (four out of five Latin American Internet users have a profile on Facebook). Second, the variables included, and their definition, are subject to the pre-established definition of the matrix survey, thus, we could not include culture-related variables. Third, the data were obtained by self-reporting, and therefore, information may be underreported. Fourth, causalities cannot be established between the variables evaluated due to the study design. Fifth, there may be an underreporting of non-binary gender people. Sixth, the questions used are part of a validated instrument; however, they do not constitute one. Finally, the instrument used has not been used in other studies during the pandemic, thereby limiting comparison of the results with other studies. Nonetheless, this is the first multinational study with a significant sample size carried out in the LAC countries.

Conclusions

In conclusion, nearly 4 out of 10 people had symptoms of anxiety, while almost 5 out of 10 had symptoms of depression. Women and non-binary gender people had more symptoms of anxiety and depression. It is necessary to evaluate strategies according to gender to reduce the impact on mental health in the COVID-19 pandemic. The factors associated with symptoms of anxiety or depression varied according to gender.

Data Availability Statement

The datasets presented in this article are not readily available because it is a secondary dataset provided by the Maryland University that cannot be publicly shared due to a signed agreement. Requests to access the datasets should be directed to vbeniteszapata@gmail.com.

Ethics Statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

PH-A, DU-P, VB-Z, GB-Q, CT-H, and AH participated in the conception of the article, the data collection, the writing of the article, and the approval of the final version. DU-P and VB-Z performed the data analysis. 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.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

This research is based on survey results from the University of Maryland.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2022.727034/full#supplementary-material

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References

  • 1.WHO (2021). WHO Coronavirus Disease (COVID-19) Dashboard. [Google Scholar]
  • 2.Nicola M, Alsafi Z, Sohrabi C, Kerwan A, Al-Jabir A, Iosifidis C, et al. The socio-economic implications of the coronavirus pandemic (COVID-19): a review. Int J Surg. (2020) 78:185. 10.1016/j.ijsu.2020.04.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Castro A. Response to the COVID-19 Pandemic In Urban Slums And Rural Populations In Latin America. UNDP In Latin America And The Caribbean (2020). [Google Scholar]
  • 4.Gonzalez E, Hopkins K, Horwitz L, Nagovitch P, Holly K. Sonneland Z. The Coronavirus in Latin America AS/COA (2020). [Google Scholar]
  • 5.Burki T. COVID-19 in latin America. Lancet Infect Dis. (2020) 20:547–8. 10.1016/S1473-3099(20)30303-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Andrus JK, Evans-Gilbert T, Santos JI, Guzman MG, Rosenthal PJ, Toscano C, et al. Perspectives on battling COVID-19 in countries of Latin America and the caribbean. Am J Trop Med Hyg. (2020) 103:593. 10.4269/ajtmh.20-0571 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rogers JP, Chesney E, Oliver D, Pollak TA, McGuire P, Fusar-Poli P, et al. Psychiatric and neuropsychiatric presentations associated with severe coronavirus infections: a systematic review and meta-analysis with comparison to the COVID-19 pandemic. Lancet Psychiatry. (2020) 7:611–27. 10.1016/S2215-0366(20)30203-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Wu KK, Chan SK, Ma TM. Posttraumatic stress, anxiety, and depression in survivors of severe acute respiratory syndrome (SARS). J Trauma Stress. (2005) 18:39–42. 10.1002/jts.20004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Xiang Y-T, Yu X, Ungvari GS, Correll CU, Chiu HF-K. Outcomes of SARS survivors in China: not only physical and psychiatric co-morbidities. East Asian Arch Psychiatry. (2014) 24:37–8. Available online t: https://www.easap.asia/index.php/docman/v24n4-1/478-1401-v24n1-p37 [PubMed] [Google Scholar]
  • 10.Vannucci A, Flannery KM, Ohannessian CM. Social media use and anxiety in emerging adults. J Affect Disord. (2017) 207:163–6. 10.1016/j.jad.2016.08.040 [DOI] [PubMed] [Google Scholar]
  • 11.Ashour HM, Elkhatib WF, Rahman M, Elshabrawy HA. Insights into the recent 2019 novel coronavirus (SARS-CoV-2) in light of past human coronavirus outbreaks. Pathogens. (2020) 9:186. 10.3390/pathogens9030186 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Hall RC, Hall RC, Chapman MJ. The 1995 Kikwit Ebola outbreak: lessons hospitals and physicians can apply to future viral epidemics. Gen Hosp Psychiatry. (2008) 30:446–52. 10.1016/j.genhosppsych.2008.05.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Brooks SK, Webster RK, Smith LE, Woodland L, Wessely S, Greenberg N, et al. El impacto psicológico de la cuarentena y cómo reducirla: revisión rápida de las pruebas. Lancet. (2020) 395:912–20. 10.1016/S0140-6736(20)30460-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Zarocostas J. How to fight an infodemic. Lancet. (2020) 395:676. 10.1016/S0140-6736(20)30461-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Investigators EM, Alonso J, Angermeyer M, Bernert S, Bruffaerts R, Brugha T, et al. Prevalence of mental disorders in Europe: results from the European study of the epidemiology of mental disorders (ESEMeD) project. Acta Psychiatr Scand. (2004) 109:21–7. 10.1111/j.1600-0047.2004.00327.x [DOI] [PubMed] [Google Scholar]
  • 16.Xiong J, Lipsitz O, Nasri F, Lui LM, Gill H, Phan L, et al. Impact of COVID-19 pandemic on mental health in the general population: a systematic review. J Affect Disord. (2020). 10.1016/j.jad.2020.08.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Salari N, Hosseinian-Far A, Jalali R, Vaisi-Raygani A, Rasoulpoor S, Mohammadi M, et al. Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysis. Global Health. (2020) 16:1–11. 10.1186/s12992-020-00589-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Bareeqa SB, Ahmed SI, Samar SS, Yasin W, Zehra S, Monese GM, et al. Prevalence of depression, anxiety and stress in china during COVID-19 pandemic: a systematic review with meta-analysis. Int J Psychiatry Med. (2021) 56:210–27. 10.1177/0091217420978005 [DOI] [PubMed] [Google Scholar]
  • 19.Cénat JM, Blais-Rochette C, Kokou-Kpolou CK, Noorishad P-G, Mukunzi JN, McIntee S-E, et al. Prevalence of symptoms of depression, anxiety, insomnia, posttraumatic stress disorder, and psychological distress among populations affected by the COVID-19 pandemic: a systematic review and meta-analysis. Psychiatry Res. (2021) 295:113599. 10.1016/j.psychres.2020.113599 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Deng J, Zhou F, Hou W, Silver Z, Wong CY, Chang O, et al. The prevalence of depression, anxiety, and sleep disturbances in COVID-19 patients: a meta-analysis. Ann N Y Acad Sci. (2020) 1486:90–111. 10.1111/nyas.14506 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wu T, Jia X, Shi H, Niu J, Yin X, Xie J, et al. Prevalence of mental health problems during the COVID-19 pandemic: a systematic review and meta-analysis. J Affect Disord. (2020) 281:91–8. 10.1016/j.jad.2020.11.117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Vindegaard N, Benros ME. COVID-19 pandemic and mental health consequences: systematic review of the current evidence. Brain Behav Immun. (2020) 89:531–2. 10.1016/j.bbi.2020.05.048 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Luo M, Guo L, Yu M, Wang H. The psychological and mental impact of coronavirus disease 2019 (COVID-19) on medical staff and general public–a systematic review and meta-analysis. Psychiatry Res. (2020) 291:113190. 10.1016/j.psychres.2020.113190 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Lim GY, Tam WW, Lu Y, Ho CS, Zhang MW, Ho RC. Prevalence of depression in the community from 30 countries between 1994 and 2014. Sci Rep. (2018) 8:1–10. 10.1038/s41598-018-21243-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Shankey V, Aditi M. Depression, anxiety, and stress and socio-demographic correlates among general indian public during COVID-19. Int J Soc Psychiatry. (2020) 66:756–62. 10.1177/0020764020934508 [DOI] [PubMed] [Google Scholar]
  • 26.Plöderl M, Tremblay P. Mental health of sexual minorities. a systematic review. Int Rev Psychiatry. (2015) 27:367–85. 10.3109/09540261.2015.1083949 [DOI] [PubMed] [Google Scholar]
  • 27.Jarrett BA, Peitzmeier SM, Restar A, Adamson T, Howell S, Baral S, Beckham SW., et al. Gender-affirming care, mental health, and economic stability in the time of COVID-19: A multi-national, cross-sectional study of transgender and nonbinary people. PloS one. (2021) 16:e0254215. 10.1371/journal.pone.0254215 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Fernández RS, Crivelli L, Guimet NM, Allegri RF, Pedreira ME. Psychological distress associated with COVID-19 quarantine: latent profile analysis, outcome prediction and mediation analysis. J Affect Disord. (2020) 277:75–84. 10.1016/j.jad.2020.07.133 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Barros MBdA, Lima MG, Malta DC, Szwarcwald CL, Azevedo RCSd, Romero D, et al. Report on sadness/depression, nervousness/anxiety and sleep problems in the Brazilian adult population during the COVID-19 pandemic. Epidemiol Serv Saúde. (2020) 29:e2020427. 10.1590/s1679-49742020000400018 [DOI] [PubMed] [Google Scholar]
  • 30.Galindo-Vázquez O, Ramírez-Orozco M, Costas-Muñiz R, Mendoza-Contreras LA, Calderillo-Ruíz G, Meneses-García A. Symptoms of anxiety, depression and self-care behaviors during the COVID-19 pandemic in the general population. Gac Med Mex. (2020) 156:298–305. 10.24875/GMM.M20000399 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Paz C, Mascialino G, Adana-Díaz L, Rodríguez-Lorenzana A, Simbaña-Rivera K, Gómez-Barreno L, et al. Behavioral and sociodemographic predictors of anxiety and depression in patients under epidemiological surveillance for COVID-19 in Ecuador. PLoS ONE. (2020) 15:e0240008. 10.1371/journal.pone.0240008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Barkay N, Cobb C, Eilat R, Galili T, Haimovich D, LaRocca S, et al. Weights and Methodology Brief For the COVID-19 Symptom Survey By University Of Maryland And Carnegie Mellon University, In Partnership With Facebook. arXiv preprint arXiv (2020). [Google Scholar]
  • 33.Urrunaga-Pastor D, Bendezu-Quispe G, Herrera-Añazco P, Uyen-Cateriano A, Toro-Huamanchumo CJ, Rodriguez-Morales AJ, et al. Cross-sectional analysis of COVID-19 vaccine intention, perceptions and hesitancy across Latin America and the Caribbean. Travel Med Infect Dis. (2021) 41:102059. 10.1016/j.tmaid.2021.102059 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Andrews G, Slade T. Interpreting scores on the Kessler psychological distress scale (K10). Aust N Z J Public Health. (2001) 25:494–7. 10.1111/j.1467-842X.2001.tb00310.x [DOI] [PubMed] [Google Scholar]
  • 35.Vargas Terrez BE, Villamil Salcedo V, Rodríguez Estrada C, Pérez Romero J, Cortés Sotres J. Validación de la escala Kessler 10 (K-10) en la detección de depresión y ansiedad en el primer nivel de atención. Propiedades Psicométricas Salud Mental. (2011) 34:323–31. Available online at: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0185-33252011000400005 [Google Scholar]
  • 36.WHO . COVID-19 Case Definition. World Health Organization (2020). [Google Scholar]
  • 37.Steinmetz LCL, Leyes CA, Florio MAD, Fong SB, Steinmetz RLL, Godoy JC. Mental health impacts in argentinean college students during COVID-19 quarantine. Front Psychiatry. (2021) 12:557880. 10.3389/fpsyt.2021.557880 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Jacques-Aviñó C, López-Jiménez T, Medina-Perucha L, De Bont J, Gonçalves AQ, Duarte-Salles T, et al. Gender-based approach on the social impact and mental health in Spain during COVID-19 lockdown: a cross-sectional study. BMJ Open. (2020) 10:e044617. 10.1136/bmjopen-2020-044617 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Ausín B, González-Sanguino C, Castellanos MÁ, Muñoz M. Gender-related differences in the psychological impact of confinement as a consequence of COVID-19 in Spain. J Gend Stud. (2021) 30:29–38. 10.1080/09589236.2020.1799768 [DOI] [Google Scholar]
  • 40.García-Fernández L, Romero-Ferreiro V, Padilla S, David López-Roldán P, Monzó-García M, Rodriguez-Jimenez R. Gender differences in emotional response to the COVID-19 outbreak in Spain. Brain Behav. (2021) 11:e01934. 10.1002/brb3.1934 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Özdin S, Bayrak Özdin S. Levels and predictors of anxiety, depression and health anxiety during COVID-19 pandemic in Turkish society: The importance of gender. Int J Soc Psychiatry. (2020) 66:504–11. 10.1177/0020764020927051 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Hou F, Bi F, Jiao R, Luo D, Song K. Gender differences of depression and anxiety among social media users during the COVID-19 outbreak in China: a cross-sectional study. BMC Public Health. (2020) 20:1–11. 10.1186/s12889-020-09738-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Zhao H, He X, Fan G, Li L, Huang Q, Qiu Q, et al. COVID-19 infection outbreak increases anxiety level of general public in China: involved mechanisms and influencing factors. J Affect Disord. (2020) 276:446–52. 10.1016/j.jad.2020.07.085 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Pedersen MJ, Favero N. Social distancing during the COVID-19 pandemic: who are the present and future noncompliers? Public Adm Rev. (2020) 80:805–14. 10.1111/puar.13240 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Panagiotakopoulos L, Neigh GN. Development of the HPA axis: where and when do sex differences manifest? Front Neuroendocrinol. (2014) 35:285–302. 10.1016/j.yfrne.2014.03.002 [DOI] [PubMed] [Google Scholar]
  • 46.Solomou I, Constantinidou F. Prevalence and predictors of anxiety and depression symptoms during the COVID-19 pandemic and compliance with precautionary measures: Age and sex matter. Int J Environ Res Public Health. (2020) 17:4924. 10.3390/ijerph17144924 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Thibaut F, van Wijngaarden-Cremers P. Women's mental health in the time of Covid-19 pandemic. Front Global Womens Health. (2020) 1:17. 10.3389/fgwh.2020.588372 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Yildirim TM, Eslen-Ziya H. The differential impact of COVID-19 on the work conditions of women and men academics during the lockdown. Gend Work Organ. (2021) 28:243–9. 10.1111/gwao.12529 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Farré L, Fawaz Y, González L, Graves J. How the COVID-19 Lockdown Affected Gender Inequality In Paid And Unpaid Work In Spain. (2020). 10.2139/ssrn.3643198 [DOI] [Google Scholar]
  • 50.Prout TA, Zilcha-Mano S, Aafjes-van Doorn K, Békés V, Christman-Cohen I, Whistler K, et al. Identifying predictors of psychological distress during COVID-19: a machine learning approach. Front Psychol. (2020) 11:586202. 10.3389/fpsyg.2020.586202 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Reisner SL, Katz-Wise SL, Gordon AR, Corliss HL, Austin SB. Social epidemiology of depression and anxiety by gender identity. J Adolesc Health. (2016) 59:203–8. 10.1016/j.jadohealth.2016.04.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Whyte S, Brooks RC, Torgler B. Man, woman, “other”: Factors associated with nonbinary gender identification. Arch Sex Behav. (2018) 47:2397–406. 10.1007/s10508-018-1307-3 [DOI] [PubMed] [Google Scholar]
  • 53.Suen Y-t, Chan RCH. A nationwide cross-sectional study of 15,611 lesbian, gay and bisexual people in China: disclosure of sexual orientation and experiences of negative treatment in health care. Int J Equity Health. (2020) 19:1–12. 10.1186/s12939-020-1151-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Jaen-Varas D, Ribeiro WS, Whitfield J, Mari JJ. Mental health and psychiatric care in Bolivia: what do we know? Int J Ment Health Syst. (2014) 8:1–7. 10.1186/1752-4458-8-18 [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.

Supplementary Materials

Click here for additional data file. (24.9KB, docx)

Data Availability Statement

The datasets presented in this article are not readily available because it is a secondary dataset provided by the Maryland University that cannot be publicly shared due to a signed agreement. Requests to access the datasets should be directed to vbeniteszapata@gmail.com.

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