Next Article in Journal
A Saudi Arabian Public Health Perspective of Tuberculosis
Next Article in Special Issue
Depression as Compared to Level of Physical Activity and Internet Addiction among Polish Physiotherapy Students during the COVID-19 Pandemic
Previous Article in Journal
Can Face- and Smartphone-Touching Behaviors Be Altered with Personal Hygiene Reminders during the COVID-19 Pandemic Period? An Observational Study
Previous Article in Special Issue
Psychological Distress of International Students during the COVID-19 Pandemic in China: Multidimensional Effects of External Environment, Individuals’ Behavior, and Their Values
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Impact of the COVID-19 Pandemic on Mental Disorders. A Critical Review

by
Vicente Javier Clemente-Suárez
1,2,3,*,
Marina Begoña Martínez-González
4,
Juan Camilo Benitez-Agudelo
4,
Eduardo Navarro-Jiménez
5,
Ana Isabel Beltran-Velasco
6,
Pablo Ruisoto
7,
Esperanza Diaz Arroyo
8,
Carmen Cecilia Laborde-Cárdenas
9 and
Jose Francisco Tornero-Aguilera
1,3
1
Faculty of Sports Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
2
Grupo de Investigación en Cultura, Educación y Sociedad, Universidad de la Costa, Barranquilla 080002, Colombia
3
Studies Centre in Applied Combat (CESCA), 45007 Toledo, Spain
4
Departamento de Ciencias Sociales, Facultad de Ciencias Sociales y Humanas, Universidad de la Costa, Barranquilla 080002, Colombia
5
Facultad de Ciencias de la Salud, Universidad Libre, Barranquilla 080005, Colombia
6
Education Department, Universidad Antonio de Nebrija, 28240 Madrid, Spain
7
Department of Health Sciences, Public University of Navarre, 31006 Pamplona, Spain
8
Departamento de Salud, Universidad de la Costa, Barranquilla 000802, Colombia
9
Vicerrectoría de Investigación e Innovación, Universidad Simón Bolívar, Barranquilla 080005, Colombia
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(19), 10041; https://doi.org/10.3390/ijerph181910041
Submission received: 3 September 2021 / Revised: 17 September 2021 / Accepted: 22 September 2021 / Published: 24 September 2021
(This article belongs to the Special Issue Mental Health in the Time of COVID-19)

Abstract

:
The COVID-19 pandemic has impacted the lives of the worldwide population. Citizens suffer the social, economic, physiological, and psychological effects of this pandemic. Primary sources, scientific articles, and secondary bibliographic indexes, databases, and web pages were used for a consensus critical review. The method was a narrative review of the available literature to summarize the existing literature addressing mental health concerns and stressors related to the COVID-19 pandemic. The main search engines used in the present research were PubMed, SciELO, and Google Scholar. We found the pandemic has had a direct impact on psychopathologies such as anxiety, increasing its ratios, and depression. Other syndromes such as burnout and post-traumatic stress disorder have increased with the pandemic, showing a larger incidence among medical personnel. Moreover, eating disorders and violence have also increased. Public authorities must prepare healthcare systems for increasing incidences of mental pathologies. Mental health apps are one of the tools that can be used to reach the general population.

1. Introduction

Originating in Wuhan (Hubei, China) on 31 December 2019, a total of 27 cases of pneumonia of unknown etiology led to a global viral pandemic (SARS-CoV-2) [1]. The exponential and global increase in the rate of infections and the first deaths were the triggers for the World Health Organization (WHO) to declare a pandemic on 11 March 2020. It has affected the population worldwide, with more than 110 million confirmed cases and more than 2.5 million deaths [2] at its peak. As of September 2021, this epidemiological crisis continues with about 219 million accumulated cases and 4.55 million accumulated deaths. Yet, around 5760 million vaccine doses have been administered and 2370 million citizens have been immunized, or 30.7% of the worldwide population [3]. The coming years will be marked in history as the era of COVID-19.
To date, data suggest an increase in the incidence of cumulative cases and deaths with a downward trend concerning local transmission. However, the slow process of administration of vaccines, and considering that 70% to 85% [4] of the world population must be vaccinated to obtain group immunity, means that the pandemic, its ravages, and restrictions are here to stay at least till the third quarter of 2023 [5]. To keep it in check and maintain the current downward trend in accumulated cases, serious control and containment measures are mandatory, which have led to immediate and serious concerns about the mental health of general society [6], with calls for urgent and direct actions [7]. If we look at other past epidemics such as severe acute respiratory syndrome (SARS) or the 2014 outbreak of Ebola, we can see that the extraordinary measures of containment, isolation, and social distancing undoubtedly lead to alterations in mental health [8], increasing perceived anxiety, depression, disturbing sleep, and quality of life [9]. However, the social and economic impact of COVID-19 has been greater than that of previous global pandemics. Authors point out that COVID-19 cost more in 2020 than the world’s combined natural disasters in any of the past 20 years [10]. The period of home isolation has been the longest in history [11], and the impact on macro- and microeconomics is comparable to that of the Great Depression of 1929 [12]. Sudden and abrupt changes in the lifestyle of citizens have increased domestic violence [13], drug abuse [14], reduction of physical activity [15], worsening of eating habits [16], and more passive and sedentary lifestyles [17]. All these things are risk factors for mental health [6].
Indeed, authors suggest that 1 in 7 US adults reported psychological distress back in April 2020, at the very peak of contagiousness [18]. From a survey of 190 million US citizens, authors found that appointments seeking help for mental health conditions, suicide attempts, drug and opioid overdoses, intimate partner violence, and child abuse and neglect were higher in mid-March through October 2020 during the COVID-19 pandemic, compared with the same period in 2019 [19]. This suggests that emergency care-seeking shifts during a pandemic, underscoring the need to integrate mental health, substance use, and violence screening and prevention services into response activities during public health crises [19]. Yet, there are two major population foci when studying the psychological impact of confinement and the pandemic’s consequences: the general population, and health-related professionals. Among health-related professionals, the ratios of emotional distress, anxiety, and depression are even higher than in the average population [20]. It is necessary to address and understand burnout syndrome and post-traumatic stress disorder as a potential problem, especially among doctors, nurses, and physicians, since they usually work with a high level of occupational exposure, with long working hours, as well as a high level of demand and task overload [21].
It is essential to attend to the processes of stress somatization and depressive episodes. Chronically maintained stress, anxiety, and depression will expose the subject to burnout syndrome [21], especially among medical workers [22,23]. Likewise, seeing that the current pandemic situation, as well as its restrictions, will remain until the third quarter of 2023, the risk of suffering PTSD in both the general and medical population is very high [24]. Thus, the current narrative review was designed to summarize the existing literature addressing mental health concerns and stressors related to the COVID-19 pandemic.

Search Methods and Strategies for Research Identification

The protocol used consisted of a literature search, using primary sources, including scientific articles and secondary sources such as bibliographic indexes, databases, and web pages. We used PubMed, Embase, SciELO, Science Direct Scopus, and Web of Science, employing MeSH-compliant keywords including COVID-19, Coronavirus 2019, SARS-CoV-2, 2019-nCoV, Mental Health, Mental Pathology, Psychology, Depression, Stress, Psychiatry. We used articles published from 1 February 2020 till 13 May 2021, although previous studies were included to explain some information in several points of the review. The following exclusion criteria were used: (i) studies with old data, i.e., data not relevant to COVID-19/pandemics); (ii) inappropriate topics, being those not pertinent to the main focus of the present narrative review; (iii) Ph.D. dissertations, conference proceedings, abstracts, unpublished studies, and books. We included all the articles that met the scientific methodological standards and had implications for any of the subsections of this article, mental health, and COVID-19. The information treatment was performed by all authors of the review. Finally, articles were discussed by the authors to write the present review. A final 175 papers were considered relevant to the search criteria and appropriate for assessing our research objective.

2. A New Context, New Stressors

The COVID-19 pandemic has produced some of the most significant changes in sociological terms that human beings have experienced so far in the 21st century [25]. The situation of uncertainty, ignorance, and chaos has exposed people to new stressors that demand they adopt coping mechanisms to avoid being overcome by the situation [26,27].
Different kinds of stressors influence people differently depending on personal coping abilities and interpersonal capabilities [26]. Among those with relevance to COVID-19, individual stressors include confinement, losing routine, confusion, uncertainty, fear of contagion, reduced concentration, diminished physical activity and sunlight exposure, sleep disorders, heavy use of digital media, variations in eating routines, and high consumption of COVID-19 information on news and media [26,28,29,30,31]. Of the main stressors associated with the pandemic, we will focus on the following: social isolation, dependence on technology, fear of contagion, sociological and cultural aspects of biosecurity patterns such as the use of masks, and employment and home working.
Concerning isolation measures, people in their different conditions have had to stop having contact with others. This situation has been particularly detrimental to older adults living in long-term care institutions [32]. They have experienced profound isolation and become prisoners in their bedrooms. Extreme loneliness creates a risk of poor health, anxiety, depression, and worsening dementia [32,33,34,35]. In young people, interpersonal relationships showed multiple fractures, and with them, the desperation to share with others again. Consequently, thousands of clandestine parties have taken place in many territories, either due to a lack of recognition among the public of the implications of contagion for fragile health systems, or due to the urgent need to overcome confinement and to be able to experience physical contact with family and friends [36,37,38,39,40].
Isolation measures have accelerated our dependence on technology as a means of relationship in all expressions of human socialization. For example, education that slowly incorporated the use of information and communication technologies was forced to completely migrate to the digital world, revealing the multiple deficiencies in access and infrastructure in many territories [41,42]. Additionally, it exposed the limited digital skills of teachers and caregivers at home who, confined, were forced to accompany children in a more committed way in their training and educational process [41,43]. Some parents oppose and reject online learning due to its shortcomings, young children’s limited self-regulation, and lack of time and professional skills to assist their children [44]. These conditions represented stress to millions of teachers and families, who have needed to adapt quickly to streaming platforms to maintain the training process remotely, synchronously, or asynchronously with their students. Students have displayed a wide range of symptoms of anxiety facing online learning and feelings of disappointment with this methodology [41,45].
However, the stress related to the immersion into the technology world has other manifestations. During COVID-19, information about the disease and advised measures have circulated through a diversity of channels. The constant use of social media to access information results in confusion and overconcern, increasing stress, anxiety, and depression due to the fear of contagion [46,47,48]. Many people have increased their online connection to social media before sleeping [49], and pandemic dreams reflect mental suffering and fear of contagion [50]; however, this fear has also had fatal outcomes because many people have stopped attending their medical check-ups or even seeking help after heart attacks due to fear of contagion [51,52].
Another scenario of uncertainty and inconsistency that clashes with our habits has been related to courtesy protocols, which have changed due to biosafety protocols previously exclusive to medical personnel [53]. From making decisions on how to greet people to deciding how to dress, COVID19 has generated uncertainty during surreal scenarios with masked people whose facial expressions we must imagine, pretend to recognize, and intuit. Face masks decrease emotion-recognition efficiency and perceptions of closeness. These effects may be worrisome when certain emotion recognition is fundamental [54]. The formation of impressions and, therefore, the generation of adaptive responses in the brain about whether a person is in danger today is challenged by policies and epidemiological measures that generate cognitive and emotional discomfort, to the point that they have created social movements opposing these types of measures in many countries [55]. The COVID-19 pandemic has been associated with reducing trust and trustworthiness [56]. The pandemic biosafety protocols disturb daily social activity, particularly at night when new social contacts are desired [36]. Furthermore, the experiences concerning face coverings during the pandemic indicate that the expectation of stigma due to not wearing a mask (even with a valid exemption) inhibits some people from leaving home to go about their daily routine. The sociocultural dimensions of face coverings must allow engagement with the moral concerns of inequality and exclusion, including the potential for disadvantageous outcomes for marginalized groups [57].
Another cause of stress in the face of threats during the COVID-19 pandemic is the lack of employment, fear of losing it, or the uncertainty of not getting it [58]. As a result, freelancers, out of desperation, agree to precarious employment contracts, especially freelancer women [59]. Many creative professionals have lost their jobs, and freelancers and events producers have been hit the hardest [60]. Increasing unemployment has been associated with suicides worldwide during the pandemic [61]. On the other hand, we have people who must work in new conditions, many of them in confinement. Working at home has been associated with a lack of psychological need for employees to work effectively and engage with their families, and consequently poorer health [62]. Thus, the worsening conditions of workers in the pandemic increase the intensification of the unequal labor situations that characterize society. While domestic workers are complimented as heroes in public speech, this symbolic recognition is not extended to monetary remuneration [63]. Other people have been forced to migrate due to the economic repercussions of the pandemic affecting daily life and opportunities for both migrants and locals [64].
Another important factor is the socioeconomic disparities that have a direct impact on the mental health of the population [35,53]. Understanding the ethology of socioeconomic health disparities could assist public health authorities in preventing the morbidity of socially disadvantaged individuals [24]. Social inequities have many health effects; one of these is a potential relationship to sleep disturbances [60]. Socioeconomic status is an important factor that contributes to social inequities. Socioeconomic status is a marker of living conditions and habits that influence health by way of different processes, including stress-related mechanisms [53,59]. Low socioeconomic status is linked with poor nutrition, a fact that has a direct impact on health, especially in a pandemic [27]. This situation was present before COVID-19 and was intensified because of this same pandemic. In this regard is important to highlight that anxiety and depression are linked with sleep disturbances [24,27], how COVID-19 affects anxiety and depression, and how COVID -19 increases socioeconomic disparities in vulnerable groups with anxiety and depression. There is no doubt that there is a pattern linking socioeconomic status, COVID-19, and sleep health [28,30,35].

3. Anxiety Incidence during the COVID-19 Pandemic

Since the beginning of the pandemic in 2020, there has been a significant increase in psychological disorders as a result of the health crisis. One year after the declaration of the COVID-19 pandemic, it is possible to confirm that a high percentage of the population suffers symptoms associated with anxiety disorders [65]. It is known that exceptional situations, such as isolation, produce by themselves an aggravation of psychological disorders that can range from minor to severe, having a negative impact on people’s lives [66], from sporadic anxiety symptoms to more significant symptoms such as insomnia, depression, or acute stress disorders. However, there are also other elements that have contributed to the increase of anxiety in the population during this time, such as the uncertainty about a disease that does not seem to be abating, the fear of contagion, and the rapid spread of the virus, which will generate negative thoughts, fear, and sadness [67].
A study conducted to analyze the psychological impact of the virus in the city where it started, Wuhan, indicates that more than 50% of the population presented symptoms related to anxiety and depression in different degrees, and more than 70% of the population presented symptoms of fear and worry and anticipatory anxiety [68]. Other studies carried out in different countries have confirmed the prevalence of disorders associated with anxiety. In Spain, more than 2000 people were analyzed during the period of confinement, showing a high incidence of emotions such as fear and physiological distress, difficulties or alterations in sleep patterns, and depressive symptomatology [69]. In Colombia, another study along the same lines with participants aged between 18 and 70 years showed that more than 30% of the general population presented symptoms of excessive preoccupation and fear [70]. A study conducted in the first months of the pandemic in the USA revealed that firearm sales increased by 85% compared to the same month of the previous year. What is dangerous about this data is the direct relationship between firearm ownership and the risk of suicide. This risk becomes even higher if factors such as job loss, helplessness in the face of illness, or the loss of a family member are combined [71,72].
It is also necessary to attend to the aggravation of anxiety disorders already existing before the pandemic. In this scenario, these disorders have increased in prevalence and in many cases, medical attention is essential. This care has been reduced by the health crisis, leaving these patients without adequate clinical care, which exacerbates the situation [73]. It is clear that, in exceptional and novel circumstances, people tend to present symptoms associated with anxiety. In previous pandemics, such as the Spanish flu and HIV outbreaks, anticipatory anxiety resulting from the perception of imminent danger or threat and the risk of death appeared along with symptoms such as uneasiness, fear, and insecurity [74,75]. Associated with these symptoms we found negative, obsessive thoughts and even phobias. All this symptomatology will disappear only when the person can perceive the disease as something manageable and with no death risk [76].
Since control of the pandemic can only be possible with an effective vaccination that allows reaching herd immunity, it is a priority to maintain health measures and restrictions on mobility and reunion until this happens [77,78]. These measures involve the perception of insecurity that will keep the alert systems of the organism active; it is probable that the anxiety disorders detected during the pandemic will continue to the end of the pandemic.

4. Depression Incidence during the COVID-19 Pandemic

Depression is a psychiatric disorder characterized by feelings of sadness, loss, anger, or frustration, in which affected individuals tend to think negatively about the past, the world, and the future [79]. In the COVID-19 pandemic, depressive symptomatology has been studied as a recurrent manifestation of patients facing COVID-19; that is, how in previous studies, psychiatric morbidities have been shown in people with prior coronavirus infection to range from 10% to 35% in the post-disease stage [80,81].
These psychiatric consequences appear to be associated with the immune response due to the cytokine storm involved in the response to coronaviruses. This precipitates neuroinflammation, alteration of the blood–brain barrier, invasion of peripheral immune cells in the central nervous system (CNS), deterioration of neurotransmission, adrenal hypothalamic-pituitary axis (HPA), activation of microglia, and induction of indoleamine 2.3-dioxygenase (IDO), all pathways of interaction between immune systems and psychopathological mechanisms that support psychiatric disorders such as depression [80,81].
Similarly, psychological comorbidities exist among people who are exposed to life-threatening situations such as illness or isolation. In these conditions, feelings about being trapped, restricted access to outer space, not being able to go to work, the economic deficit, alterations in routines, separation of family and friends, having a person at risk in the family, scarcity of daily needs, reduction of wages, social isolation, and closure of educational institutions are risk factors that have been associated with the development of depressive symptomatology in the COVID-19 pandemic [79,82,83,84]. Likewise, belonging to socioeconomic groups with lower incomes and having little in savings is associated with being 1.5 times more likely to have symptoms of depression [85]. Similarly, it has been found that in countries where rigorousness rates are higher, depression levels tend to be higher [86].
Currently, the prevalence of depression reported in the general population due to the COVID-19 pandemic ranges from 14.3–24.3% in different studies conducted [82,87,88,89,90]. Symptoms of depression associated with COVID-19 are more common in women, people with low [87,91] socioeconomic status, students, and health workers [89,92], with the latter group reporting a prevalence ranging from 2.3–46% due to several factors, including workload [93,94,95,96].
As for the manifestation of this symptomatology, it has been found according to lifecycle studies that children are most likely to develop attachment and fear related to the concern that family members may contract the disease, as well as [97] opposition-challenging behaviors [98]. Younger patients tend to have higher levels of depression, associated with deprivation of liberty and the closure of schools [99,100], while older adults have recorded depression related to decreased activity level, sleep quality, well-being, and cognitive functioning [101], in addition to those who are widowers or separated being associated with a higher risk of developing emotional disorders during the COVID-19 pandemic [102].
Therein lies the importance of generating follow-up studies with these patients, both before and after infection, to estimate the burden on mental health due to deficits in health behaviors associated with difficulty sleeping, reduction in physical activity [79,87], and increased consumption of psychoactive substances [79]. These are challenges that health systems will face globally in the aftermath of the coronavirus pandemic in the general population, related to a new, possible mental health-related pandemic.
This is why it is vital for the general population to follow the recommendations of the experts to take care of their mental health, avoiding [82] unscientific information about COVID-19, maintaining regular exercise routines [87], and communicating with family members [79] among other daily routines for mental health, such as healthy eating, sleep, socialization, leisure activities, work, and study. At the public health level, it is important to consider that uncompromising and strict policies have been associated with higher rates of depression in the general population; therefore, it is important that in establishing policies on issues such as social distancing and quarantine, each country examines its context not only regarding epidemiological conditions but also the mental health conditions of its population [86], seeking to find solutions that contribute to all the areas in which this disease causes involvement.

5. Burnout Incidence during the COVID-19 Pandemic

Burnout (BO) is defined by the World Health Organization (WHO) as a syndrome resulting from chronic workplace stress that has not been successfully managed [103], characterized by energy depletion and mental distancing from one’s job, producing feelings of negativism and cynicism, and reduced professional [104,105] efficacy, and associated with higher rates of substance abuse, depression, and suicide [104,105,106].
Over the past 10 years, BO has become a significant psychosocial problem [107]. Healthcare professionals as a group are particularly susceptible, mainly due to the demanding nature of their profession and work environment [104,105]. Thus, the prevalence of BO symptoms such as anxiety, depression, lower satisfaction, and PTSD are higher in this professional group than in other professions [108]. Studies conducted at the beginning of the pandemic in China suggested that the frequency of BO is significantly less in frontline workers than in healthcare professionals working on their usual ward. The conclusion was that directly addressing the virus on the frontline is thought to bring a greater sense of situation control, considered to be a leading motivation for engagement that decreases chances of BO occurrence [109].
Yet, COVID-19 has exacerbated stressors in healthcare systems where physicians’ burnout response to workplace stress is already epidemic [110]. In this line of thought, the pandemic presents a sort of perfect storm regarding the intersection of chronic workplace stress and the acute traumatic stress imposed by the pandemic [111]. Authors described eight specific sources of COVID-19-related physician anxiety: access to appropriate personal protective equipment, exposure to COVID-19 at work and taking the infection home to their family, not having rapid access to testing if they develop COVID-19 symptoms and concomitant fear of propagating infection at work, uncertainty that their organization will support/take care of their personal and family needs if they develop an infection, access to childcare during increased work hours and school closures, lack of support for other personal and family needs as work hours and demands increase (food, hydration, lodging, transportation), being able to provide competent medical care if deployed to a new area (e.g., non-ICU nurses having to function as ICU nurses), and lack of access to up-to-date information and communication [112]. These sources of stress and anxiety fall outside the regular work experience and are drivers of both BO and PTSD [111].
Most of the literature concerning BO syndrome and its relationship with the COVID-19 pandemic are centered on healthcare professionals as they are the most affected by this situation. However, the psychological effects produced by the current situation also extend to the general population, as shown by a study conducted in Italy during the first wave of the pandemic. A third of the study’s sample presented psychiatric symptoms of stress, anxiety, and depression during the first month of the COVID-19 pandemic outbreak; more than 50% of the subjects presented sleep disturbances and 13% appeared at risk of developing PTSD. Furthermore, younger age and female gender appeared to be risk factors for the development of psychiatric symptoms [113].
Burnout has also developed among parents during the COVID-19 pandemic [114]. In normal situations, parents already experience stress related to their role as parents [115]. For most parents, parent-related stress is transitory but for 5–20% this stress can escalate to the level of parental burnout [116], similar to the standard BO syndrome with the same symptoms as previously described [104,105]. Some conditions predictive of parental burnout that are currently more common during the COVID-19 pandemic are unemployment, financial insecurity, low levels of social support from family and friends, and a lack of leisure time [117,118,119], conditions that can also be extrapolated to the general population.
In order to mitigate BO, systems-based interventions should be implemented [120]. Individual practices focus on managing the emotional aspects of stress and fear and leverage positive psychology, mindfulness practices, and embodiment to combat the fight-or-flight response, as well as symptoms of emotional exhaustion and depersonalization [121]. While systems-based interventions should focus on creating a work environment that promotes the development of individual practices, department resources should be directed toward creating a physically safe work environment and support the development of an infrastructure that allows physicians to work from home [111].

6. Post-Traumatic Stress Disorder Incidence during the COVID-19 Pandemic

Most of the population is robust in the aftermath of tragedies and does not succumb to psychopathology. Nonetheless, post-traumatic stress disorder (PTSD) caused by trauma is a major concern in “traditional” natural disasters, technological catastrophes, and intentional acts of mass destruction. Medical illnesses resulting from natural causes, such as a life-threatening viral infection, may not match the current trauma criteria for a diagnosis of PTSD, but they may lead to other psychopathologies, such as depression and anxiety disorders [75]. However, according to the DSM-5 [122], PTSD is a stressor-type stimulus that may induce intense feelings of threat to life and physical integrity, and intense fear, helplessness, or horror. Thus, by definition, COVID-19 would meet the definition of a traumatic event. In this line, there are several stimuli that can make the subject suffer PTSD due to COVID-19, among them: subjects who have suffered serious COVID-19 symptomatology and even experienced potential risk of death; subjects who have experienced the loss of family members, close friends, and relatives, witnessing suffering and death of other and the inability of grieving; individuals who have closely experienced and been chronically exposed in the front line to the virus and its ravages (e.g., journalists, first responders, medical examiners, and hospital personnel) [123].
A retrospective look at previously experienced global pandemics suggests that mental health symptoms and disorders are likely to arise among the population, such as anxiety, depression, insomnia, and PTSD. According to a systematic review of past pandemics, including SARS, MERS, and the current COVID-19, 14% to 61% of infected individuals experienced serious psychiatric and neuropsychiatric problems) during the illness, and 14.8% to 76.9% continued with these problems once they had overcome the disease. These values vary depending on the world zone, and thus the sociocultural, economic, health, and political characteristics of the country where the study was carried out [124]. Another comprehensive study found a significant prevalence of anxiety, sadness, post-traumatic stress disorder, and psychological distress symptoms among COVID-19-affected populations in several nations [74]. Furthermore, according to a recent meta-analysis, worldwide the pooled prevalence of depression is 15.97%, anxiety 15.15%, insomnia 23.87%, PTSD 21.94%, and psychological distress 13.29%, while gender, geographical location, and occupation as a healthcare worker did not create any significant differences (except for insomnia, which was more prevalent among healthcare workers).
However, the appearance of PTSD can differ greatly depending on the subject, their psychometric profile, lived experience, and the degree of exposure. Indeed, some people may be more sensitive to the emotional impacts of pandemics than others. There are groups at greater danger of contagion and risk of death (such as the elderly [125], those with compromised immune systems [126], and those who live or receive care in congregate settings [75]). Groups with preexisting psychiatric and medical conditions also have a higher risk of negative psychosocial outcomes [127]. Front line personnel, chronically exposed to the virus, are emotionally and ethically confronted with making decisions about the lives of other people given the health collapse [128]. Groups of the adolescent and pre-adolescent population have seen their day-to-day, habits and face-to-face education interrupted [129]. These and other population groups, due to their higher incidence and risk of suffering from PTSD and negative psychosocial outcomes, should be the focus of prevention measures in terms of mental health, psychoeducation, and psychosocial assistance, as suggested by previous authors.
Early monitoring and care are essential in this regard. The symptoms caused by the presence of PTSD can be seen in three aspects: a sensation of emotional numbness, depersonalization, and arousal symptoms (difficulty sleeping, irritability or quickly agitated, difficulty focusing) [111]. However, the symptoms may not be evident for at least one month following a stressful incident, or even years afterward, a fact which limits the diagnosis. The diagnosis given in the first month following a traumatic incident is acute stress disorder, which is associated with a sense of intrusion, dissociation, bad mood, avoidance, and arousal symptoms. After a stressful occurrence, the incidence of acute stress disorder ranges from 5% to 20%. Importantly, intervention in this early phase can reduce the progression to PTSD [130].

7. Eating Disorders Incidence during the COVID-19 Pandemic

Recent research suggests COVID-19 is not just a pandemic, but a ‘syndemic’. This term highlights the aggregation of the severe acute respiratory syndrome coronavirus (SARS-CoV-2) and non-communicable diseases clustered within social groups following a socioeconomic gradient [131]. The syndemic nature of the pandemic raises concerns about other socially related problems such as eating disorders. In fact, recent studies suggest that COVID-19 may precipitate the development of eating disorder (ED) behaviors among some and exacerbate existing pathology among others.
According to a recent study, there are three ways in which COVID-19 may negatively affect the risk of eating disorders [132].
First, by changes in daily-life routines, which include constraints on outdoor physical activities and therefore, potential increased concerns about weight and shape, and a negative impact on eating, exercise, and sleeping patterns, which may in turn increase ED risk and symptoms. Relatedly, the pandemic and accompanying social restrictions may deprive individuals of social support and adaptive coping strategies, thereby potentially elevating ED risk and symptoms by removing protective factors [133].
On one hand, in the context of the COVID-19 pandemic, restrictions on daily activities and movements, particularly in urban areas, have been the norm. These measures include work and study from home and prevention of all non-essential activities, negatively affecting both eating and physical activity, and therefore, increasing the risk of EDs. For example, the absence of clear routines and markers of time and space, and stocking up on more food than usual, may lead to increased time being around food and snacking, increasing the risk of binge eating and other EDs. Additional limitations in access to regular physical activity may lead to changes in body shape and body weight, resulting in concerns and disordered eating [132,133].
Social distancing measures and confinement measures result in a barrier to social support, a well-known protective factor when people are exposed to stress, and prevent access to face-to-face care in cases where needed. Instead, the risk of coping or emotional regulation strategies such as emotionally driven eating or restrictive eating may occur [133].
Second, social distancing also increases social media use as a means of communication, resulting in increased exposure to video conferring and also (social) media, and therefore increased exposure to thin-ideal- and diet culture-related content may increase ED risk and symptoms. For example, a common feature of body image and eating concerns is body image avoidance (do not look in the mirror); so, video conferring may result in an excessive focus on face and appearance, which may increase the risk of EDs. Previous studies have shown that exposure to media coverage of stressful and traumatic world events was associated with an increased risk of eating disorders [132].
Third, COVID-19 may increase health concerns, and those emotional fears associated with the risk of contamination may result in a reduction in the purchase or selection of food. Indeed, in EDs, health concerns are associated with the manipulation of diet, for example in anorexia nervosa. For example, some rigid and restrictive diets are believed to have immunity-related health benefits; however, they lead to increased risk of COVID-19 [132].
Finally, restrictions and social distancing measures in response to COVID-19 have resulted in a general increase in stress and negative affect due to the health issues and increased social isolation or loneliness that are core risk factors for EDs, such as binge eating, purging, or restrictive patterns. For example, emotional eating under stress usually focuses on high-carbohydrate foods, which can result in binge eating. However, more studies are needed to compare population-representative samples to provide evidence about the impacts of COVID-19 and their associated measures on the risk of EDs.

8. Violence Incidence during the COVID-19 Pandemic

One year after the COVID-19 pandemic was declared by the WHO [134], a growing number of studies about increased violence—mainly against women and children—have been published from the first months of 2020 to date. In the following tables, the results of research carried out in low- and middle-income countries that identify trends, analyses of risk factors, and the impact of violence prevention programs will be analyzed.
Most of the articles evidenced an increase in violence (an increase of up to 40% depending on the country and type of study) when comparing the pre-pandemic and pandemic periods. Given the large percentage margin, in Table 1, a detailed breakdown is made by authors, country, and outcomes.
Yet, regardless of the percentage increase, authors agree that an increase in violence was more accentuated during national and local lockdowns. Regarding women, the predictors most frequently associated with the increase of violence were being married, being unemployed (which is accentuated by the lack of economic independence of women), different nationality to the husband, living in rural areas, being a married minor, or less than 16 years of age. Both physical and psychological violence is reported in most of these studies. Data collection methods were mostly based on digital surveys (e.g., Google forms) which may suggest underreporting, as answering surveys depends on the abused person having access to a cellphone or other device (i.e., they will regularly not have access) (Table 1).
The results of research evaluating risk factors, describing experiences of violence, or examining prevention programs during the pandemic will be described below. Of the studies that documented important risk factors for increased violence, several of those that stood out were being married, being unemployed (either for the victim or the perpetrator), having lost family income due to the pandemic, and tendencies of the perpetrator’s substance abuse. Of particular interest are studies from a variety of countries that evidenced increased economic vulnerability, whether in the form of unemployment, reduced family income, or food insecurity, linked to an increased risk of violence. New dynamics have expanded beyond lockdowns including widespread economic crises, and effects on violence against women (including IPV) and children. These will continue to evolve and are likely to outlast the health effects of COVID-19 and lockdown measures.
Few studies point at potential protective factors such as evidence from India [146] and Ethiopia [150], which suggests that higher education (for both the victim and the perpetrator) decreases the risk of violence. Levels of intimate partner violence (IPV) were twice as high for illiterate women in Ethiopia as for women who had completed high school. In India, rates of IPV were significantly lower for husbands or wives who had a higher education/professional degree. Employment status can also be a protective factor. Studies in Jordan [135] and Iran [140] showed significantly lower rates of violence for employed women, reflecting the association between losing employment or income during the pandemic with an increase in violence against women or children.
Two studies focused on physical violence against health workers, specifically Iranian nurses [151], and mental illness in Chinese health workers who experienced aggression in their workplace [152]. Two studies specifically focused on pregnant women in Iran [153] and Ethiopia [154], documenting high rates of violence during the pandemic. Only one study included an evaluation of a violence prevention or mitigation program. The program, a youth empowerment program in Bolivia, found a decrease in violence towards girls of almost ten percentage points (or 46% in relation to the control group), seven months after its completion [155] (Table 2).
Government authorities and women’s rights organizations should work together towards improving IPV prevention and widespread violence against women. An effective prevention strategy must emphasize recognizing and acknowledging the magnitude of the problem, enhancing awareness of the problem and leading resources to address it, and ensuring social and economic stability. The lessons learned about the increased prevalence of IPV and widespread violence against women during the COVID-19 pandemic and the need to adopt appropriate strategies to prevent and address it will be valuable for future similar crises.

9. Use of Mental Health Apps during the COVID-19 Pandemic

The COVID-19 has played a significant triggering role, aggravating a wide range of mental disorders [75]. However, the COVID-19 pandemic has also accelerated the development of mental health apps, currently reaching a number between 10,000 and 20,000 according to One Mind PsyberGuide, which might help to identify and track mental problems. The specific number of mental health apps is difficult to estimate because new apps are constantly being developed and older ones are removed from the market. Unfortunately, most apps are developed by small teams without plans for long-term support and their utility is questionable.
In a recent study, it was found that just two apps, Headspace and Calm, accounted for 90% of monthly active users [161]. People do not generally use these mindfulness apps as a replacement for therapy but as additional support to enhance progress outside the therapy office.
The Food and Drug Administration regulates the so-called “digital therapeutics” that aim to provide actual treatment, but it does not regulate self-help apps that fall in the broad category of wellness and, in some cases, apps might be misleading. For example, the content of currently available apps for bipolar disorder is not in line with practice guidelines or established self-management principles [162].
Regarding the COVID-19 pandemic, app-based contact tracing started to be used. The epidemiological evidence shows that app-based contact tracing can suppress the spread of COVID-19 if a high enough proportion of the population uses the app, and that it can still reduce the number of infections if uptake is moderate. The available evidence suggests that app-based contact tracing may be a viable approach to control the diffusion of COVID-19 [163].
In this line, the COVID-19 Symptom Tracker is an app-based daily self-reporting tool also used in the pandemic. Self-reported symptom tracking helps to identify novel symptoms of COVID-19 and to estimate the predictive value of certain symptoms. This aids in the development of reliable screening tools. Clinical screening with a high pretest probability allows for the rapid identification of infections and the cost-effective use of testing resources. Based on the results obtained by this app, researchers suggested that loss of smell and taste be considered cardinal symptoms; and that diabetes is a risk factor for a highly symptomatic course of COVID-19 infection [164].

10. Discussion, Highlights, and Practical Applications

Mental health issues should be considered as the second pandemic. Authors suggest that the current pandemic situation, as well as its restrictions, will remain until the third quarter of 2023 [165]. Thus, the risk of suffering several mental pathologies in both the general and medical population is very high, as well as increasing social inequities [166]. Indeed, almost one year after COVID-19 began, a high percentage of the population suffers symptoms associated with anxiety and depression disorders [167,168]. Yet, symptomatology will disappear only when the person can perceive the disease as something manageable and with no death risk. Strategies and policies such as social distancing and quarantine, and limitations in mobility, will need to be examined by each country regarding not only its epidemiological context, but also the mental health conditions of its population [169]. A greater number of state and government questionnaires to track these signs would be ideal to help make decisions regarding the health of the citizenry.
Regarding burnout, especially acute in medical personnel, systems-based interventions should be implemented. Individual practices should focus on managing the emotional aspects of stress and fear and leveraging positive psychology, mindfulness practices, and embodiment to combat the fight-or-flight response as well as symptoms of emotional exhaustion and depersonalization. Likewise, there should be a similar focus regarding PTSD given its high incidence among COVID-19 sufferers, depending on the country and population group (14% to 61% of infected subjects, and 14.8% to 76.9% once they have overcome the disease). Special vigilance is required from the institutions involved in early care, since intervention in the early phase can reduce the progression to PTSD. Thus, a key factor is identification of emotional numbness or depersonalization and arousal symptoms such as difficulty sleeping, irritability or becoming quickly agitated, and difficulty focusing [167].
These symptoms and mental health problems are aggravated by inappropriate lifestyles. The quarantine has highlighted changes in lifestyles, especially nutritional ones, which have been shown to have a direct impact on mental health [167,169]. Thus, restrictions and social distancing measures in response to COVID-19 have resulted in a general increase in stress and negative affect due to the health issues and increased social isolation or loneliness, which are core risk factors for eating disorders such as binge eating, purging, or restrictive patterns. Indeed, emotional eating under stress usually focuses on high-carbohydrate foods, which can result in binge eating [170,171,172,173]. Thus, psychiatrists and mental health professional should also focus on assessing nutritional habits of their patients as part of their daily routine.
Lastly, the increase in violence (an increase of up to 40% reported depending on the country and type of study) when comparing the pre-pandemic and pandemic periods), especially IVP towards women during the COVID-19 pandemic, highlights that the need to adopt gender-based strategies to prevent and address it will be valuable for future similar crises.
It is highly encouraged that there be training and dissemination among psychiatric, psychological, medical personnel and the general population regarding the use of platforms and applications such as the One Mind PsyberGuide, which can serve as the main focus of primary care when identifying and quantifying symptoms and incidence [174,175].

11. Conclusions

The COVID-19 pandemic is a new contextual stressor that has negatively affected the incidence of anxiety, depression, burnout, post-traumatic stress disorder, eating disorders, and violence. Public authorities must prepare healthcare systems for the increasing incidence of mental pathologies, with mental health apps being one of the tools available to reach the general population.

Author Contributions

Conceptualization, V.J.C.-S. and M.B.M.-G.; methodology, V.J.C.-S., E.D.A. and J.F.T.-A.; investigation, V.J.C.-S., C.C.L.-C., E.N.-J., J.C.B.-A. and J.F.T.-A.; writing—original draft preparation, V.J.C.-S., M.B.M.-G., J.C.B.-A., E.N.-J., A.I.B.-V., P.R., E.D.A., C.C.L.-C. and J.F.T.-A.; writing—review and editing, V.J.C.-S., M.B.M.-G., J.C.B.-A., E.N.-J., A.I.B.-V., P.R., E.D.A., C.C.L.-C. and J.F.T.-A.; supervision, V.J.C.-S. and P.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data used are in the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Platto, S.; Wang, Y.; Zhou, J.; Carafoli, E. History of the COVID-19 pandemic: Origin, explosion, worldwide spreading. Biochem. Biophys. Res. Commun. 2021, 538, 14–23. [Google Scholar] [CrossRef]
  2. Gostin, L.O. COVID-19 Reveals Urgent Need to Strengthen the World Health Organization; InJAMA Health Forum 1 April 2020; American Medical Association: Chicago, IL, USA, 2020; Volume 1, No. 4; p. e200559. [Google Scholar]
  3. Mathieu, E.; Ritchie, H.; Ortiz-Ospina, E.; Roser, M.; Hasell, J.; Appel, C.; Giattino, C.; Rodés-Guirao, L. A global database of COVID-19 vaccinations. Nat. Hum. Behav. 2021, 5, 947–953. [Google Scholar] [CrossRef]
  4. Clemente-Suárez, V.J.; Hormeño-Holgado, A.; Jiménez, M.; Benitez-Agudelo, J.C.; Navarro-Jiménez, E.; Perez-Palencia, N.; Maestre-Serrano, R.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. Dynamics of Population Immunity Due to the Herd Effect in the COVID-19 Pandemic. Vaccines 2020, 8, 236. [Google Scholar] [CrossRef] [PubMed]
  5. Charumilind, S.; Craven, M.; Lamb, J.; Sabow, A.; Wilson, M.; McKinsey & Company. When Will the COVID-19 Pandemic End? 2020. Available online: https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/when-will-the-COVID-19-pandemic-end (accessed on 21 July 2021).
  6. Clemente-Suárez, V.; Navarro-Jiménez, E.; Jimenez, M.; Hormeño-Holgado, A.; Martinez-Gonzalez, M.; Benitez-Agudelo, J.; Perez-Palencia, N.; Laborde-Cárdenas, C.; Tornero-Aguilera, J. Impact of COVID-19 Pandemic in Public Mental Health: An Extensive Narrative Review. Sustainability 2021, 13, 3221. [Google Scholar] [CrossRef]
  7. Holmes, E.A.; O’Connor, R.C.; Perry, V.H.; Tracey, I.; Wessely, S.; Arseneault, L.; Ballard, C.; Christensen, H.; Silver, R.C.; Everall, I.; et al. Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. Lancet Psychiatry 2020, 7, 547–560. [Google Scholar] [CrossRef]
  8. Venkatesh, V.; Samyuktha, V.N.; Wilson, B.P.; Kattula, D.; Ravan, J.R. Psychological impact of infection with SARS-CoV-2 on health care providers: A qualitative study. J. Fam. Med. Prim. Care 2021, 10, 1666–1672. [Google Scholar] [PubMed]
  9. Grattan, L.M.; Roberts, S.; Mahan, W.T.; McLaughlin, P.K.; Otwell, W.S.; Morris, J.G. The Early Psychological Impacts of the Deepwater Horizon Oil Spill on Florida and Alabama Communities. Environ. Health Perspect. 2011, 119, 838–843. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Noy, I.; Doan, N. COVID-19 Cost More in 2020 than the World’s Combined Natural Disasters in Any of the Past 20 Years. The Conversation. Available online: http://theconversation.com/COVID-19-cost-more-in-2020-than-the-worlds-combined-natural-disasters-in-any-of-the-past-20-years-156646 (accessed on 21 July 2021).
  11. Choukér, A.; Stahn, A.C. COVID-19—The largest isolation study in history: The value of shared learnings from spaceflight analogs. NPJ Microgravity 2020, 6, 1–7. [Google Scholar] [CrossRef] [PubMed]
  12. Clemente-Suárez, V.; Navarro-Jiménez, E.; Ruisoto, P.; Dalamitros, A.; Beltran-Velasco, A.; Hormeño-Holgado, A.; Laborde-Cárdenas, C.; Tornero-Aguilera, J. Performance of Fuzzy Multi-Criteria Decision Analysis of Emergency System in COVID-19 Pandemic. An Extensive Narrative Review. Int. J. Environ. Res. Public Health 2021, 18, 5208. [Google Scholar] [CrossRef]
  13. Usher, K.; Bhullar, N.; Durkin, J.; Gyamfi, N.; Jackson, D. Family violence and COVID-19: Increased vulnerability and reduced options for support. Int. J. Ment. Health Nurs. 2020, 29, 549–552. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Volkow, N.D. Collision of the COVID-19 and Addiction Epidemics. Ann. Intern. Med. 2020, 173, 61–62. [Google Scholar] [CrossRef] [Green Version]
  15. Tison, G.H.; Avram, R.; Kuhar, P.; Abreau, S.; Marcus, G.M.; Pletcher, M.J.; Olgin, J.E. Worldwide Effect of COVID-19 on Physical Activity: A Descriptive Study. Ann. Intern. Med. 2020, 173, 767–770. [Google Scholar] [CrossRef]
  16. Rodriguez-Besteiro, S.; Tornero-Aguilera, J.; Fernández-Lucas, J.; Clemente-Suárez, V. Gender Differences in the COVID-19 Pandemic Risk Perception, Psychology, and Behaviors of Spanish University Students. Int. J. Environ. Res. Public Health 2021, 18, 3908. [Google Scholar] [CrossRef] [PubMed]
  17. Bendau, A.; Petzold, M.B.; Pyrkosch, L.; Maricic, L.M.; Betzler, F.; Rogoll, J.; Große, J.; Ströhle, A.; Plag, J. Correction to: Associations between COVID-19 related media consumption and symptoms of anxiety, depression and COVID-19 related fear in the general population in Germany. Eur. Arch. Psychiatry Clin. Neurosci. 2021, 271, 1409. [Google Scholar] [CrossRef]
  18. McGinty, E.E.; Presskreischer, R.; Han, H.; Barry, C.L. Psychological Distress and Loneliness Reported by US Adults in 2018 and April 2020. JAMA 2020, 324, 93. [Google Scholar] [CrossRef]
  19. Holland, K.M.; Jones, C.; Vivolo-Kantor, A.M.; Idaikkadar, N.; Zwald, M.; Hoots, B.; Yard, E.; D’Inverno, A.; Swedo, E.; Chen, M.S.; et al. Trends in US Emergency Department Visits for Mental Health, Overdose, and Violence Outcomes Before and During the COVID-19 Pandemic. JAMA Psychiatry 2021, 78, 372. [Google Scholar] [CrossRef] [PubMed]
  20. Shah, S.M.A.; Mohammad, D.; Qureshi, M.F.H.; Abbas, M.Z.; Aleem, S. Prevalence, Psychological Responses and Associated Correlates of Depression, Anxiety and Stress in a Global Population, During the Coronavirus Disease (COVID-19) Pandemic. Community Ment. Health J. 2021, 57, 101–110. [Google Scholar] [CrossRef]
  21. Felice, C.; Di Tanna, G.L.; Zanus, G.; Grossi, U. Impact of COVID-19 outbreak on healthcare workers in Italy: Results from a national E-survey. J. Community Health 2020, 45, 675–683. [Google Scholar] [CrossRef] [PubMed]
  22. Dincer, B.; Inangil, D. The effect of Emotional Freedom Techniques on nurses’ stress, anxiety, and burnout levels during the COVID-19 pandemic: A randomized controlled trial. Explore 2021, 17, 109–114. [Google Scholar] [CrossRef]
  23. Pokhrel, N.B.; Khadayat, R.; Tulachan, P. Depression, anxiety, and burnout among medical students and residents of a medical school in Nepal: A cross-sectional study. BMC Psychiatry 2020, 20, 298. [Google Scholar] [CrossRef] [PubMed]
  24. Liu, C.H.; Zhang, E.; Wong, G.T.F.; Hyun, S.; Hahm, H. “Chris” Factors associated with depression, anxiety, and PTSD symptomatology during the COVID-19 pandemic: Clinical implications for U.S. young adult mental health. Psychiatry Res. 2020, 290, 113172. [Google Scholar] [CrossRef]
  25. González, M.B.M. La certeza de lo impredecible. Cult. Educ. Soc. 2020, 11, 3–6. [Google Scholar]
  26. Agbaria, Q.; Mokh, A.A. Coping with stress during the Coronavirus outbreak: The contribution of Big Five personality traits and social support. Int. J. Ment. Health Addict. 2021, 21, 1–9. [Google Scholar]
  27. Rogowska, A.M.; Kuśnierz, C.; Bokszczanin, A. Examining Anxiety, Life Satisfaction, General Health, Stress and Coping Styles During COVID-19 Pandemic in Polish Sample of University Students. Psychol. Res. Behav. Manag. 2020, 13, 797–811. [Google Scholar] [CrossRef]
  28. Altena, E.; Baglioni, C.; Espie, C.A.; Ellis, J.; Gavriloff, D.; Holzinger, B.; Schlarb, A.; Frase, L.; Jernelöv, S.; Riemann, D. Dealing with sleep problems during home confinement due to the COVID-19 outbreak: Practical recommendations from a task force of the European CBT-I Academy. J. Sleep Res. 2020, 29, e13052. [Google Scholar] [CrossRef] [PubMed]
  29. Brooks, S.K.; Webster, R.; Smith, L.; Woodland, L.; Wessely, S.; Greenberg, N.; Rubin, G.J. The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. Lancet 2020, 395, 912–920. [Google Scholar] [CrossRef] [Green Version]
  30. Cellini, N.; Canale, N.; Mioni, G.; Costa, S. Changes in sleep pattern, sense of time and digital media use during COVID-19 lockdown in Italy. J. Sleep Res. 2020, 29, e13074. [Google Scholar] [CrossRef]
  31. Priego-Parra, B.A.; Triana-Romero, A.; Pinto-Gálvez, S.M.; Ramos, C.D.; Salas-Nolasco, O.; Reyes, M.M.; de la Medina, A.R.; Remes-Troche, J.M. Anxiety, depression, attitudes, and internet addiction during the initial phase of the 2019 coronavirus disease (COVID-19) epidemic: A cross-sectional study in México. bioRxiv 2020. [Google Scholar]
  32. Eghtesadi, M. Breaking social isolation amidst COVID-19: A viewpoint on improving access to technology in long-term care facilities: Letter to the Editor. J. Am. Geriatr. Soc. 2020, 68, 949–950. [Google Scholar] [CrossRef] [Green Version]
  33. Armitage, R.; Nellums, L.B. COVID-19 and the consequences of isolating the elderly. Lancet Public Health 2020, 5, e256. [Google Scholar] [CrossRef] [Green Version]
  34. Hwang, T.-J.; Rabheru, K.; Peisah, C.; Reichman, W.; Ikeda, M. Loneliness and social isolation during the COVID-19 pandemic. Int. Psychogeriatr. 2020, 32, 1217–1220. [Google Scholar] [CrossRef]
  35. Vasquez, L.; Sampor, C.; Villanueva, G.; Maradiegue, E.; Garcia-Lombardi, M.; Gomez-García, W.; Moreno, F.; Diaz, R.; Cappellano, A.M.; Portilla, C.A.; et al. Early impact of the COVID-19 pandemic on paediatric cancer care in Latin America. Lancet Oncol. 2020, 21, 753–755. [Google Scholar] [CrossRef]
  36. Varella, M.A.C.; Luoto, S.; Soares, R.B.D.S.; Valentova, J.V. COVID-19 Pandemic on Fire: Evolved Propensities for Nocturnal Activities as a Liability Against Epidemiological Control. Front. Psychol. 2021, 12, 646711. [Google Scholar] [CrossRef]
  37. Holm, N. No time for fun: The politics of partying during a pandemic. Cult. Stud. 2021, 35, 452–461. [Google Scholar] [CrossRef]
  38. De Jesus, D.S.V. As If There Were No Tomorrow: New Year’s CovidFests in Brazil. Sociol. Study 2021, 11, 33–36. [Google Scholar] [CrossRef]
  39. Lallement, E.; Godet, A. From Bal masques to masked balls: Festivity in the era of social distancing. J. Festive Stud. 2020, 2, 32–40. [Google Scholar] [CrossRef]
  40. Nofre, J.; Garcia-Ruiz, M.; Sánchez Fuarros, I.; Vale Pires, C. Hopes and uncertainties in the nightlife industry of post-COVID-19 Europe. Finisterra 2020, 55, 249–254. [Google Scholar] [CrossRef]
  41. Daniel, S.J. Education and the COVID-19 pandemic. Prospects 2020, 49, 1–6. [Google Scholar] [CrossRef] [Green Version]
  42. Dhawan, S. Online learning: A panacea in the time of COVID-19 crisis. J. Educ. Technol. Syst. 2020, 49, 5–22. [Google Scholar] [CrossRef]
  43. Putri, R.S.; Purwanto, A.; Pramono, R.; Asbari, M.; Wijayanti, L.M.; Hyun, C.C. Impact of the COVID-19 pandemic on online home learning: An explorative study of primary schools in Indonesia. Int. J. Adv. Sci. Technol. 2020, 29, 4809–4818. [Google Scholar]
  44. Dong, C.; Cao, S.; Li, H. Young children’s online learning during COVID-19 pandemic: Chinese parents’ beliefs and attitudes. Child. Youth Serv. Rev. 2020, 118, 105440. [Google Scholar] [CrossRef]
  45. Besser, A.; Flett, G.L.; Zeigler-Hill, V. Adaptability to a sudden transition to online learning during the COVID-19 pandemic: Understanding the challenges for students. Sch. Teach. Learn. Psychol. 2020. [Google Scholar] [CrossRef]
  46. Farooq, A.; Laato, S.; Islam, A.K.M.N. Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study. J. Med. Internet Res. 2020, 22, e19128. [Google Scholar] [CrossRef]
  47. Gao, J.; Zheng, P.; Jia, Y.; Chen, H.; Mao, Y.; Chen, S.; Wang, Y.; Fu, H.; Dai, J. Mental health problems and social media exposure during COVID-19 outbreak. PLoS ONE 2020, 15, e0231924. [Google Scholar] [CrossRef]
  48. Wheaton, M.G.; Prikhidko, A.; Messner, G.R. Is Fear of COVID-19 Contagious? The Effects of Emotion Contagion and Social Media Use on Anxiety in Response to the Coronavirus Pandemic. Front. Psychol. 2021, 11, 567379. [Google Scholar] [CrossRef] [PubMed]
  49. Léger, D.; Beck, F.; Fressard, L.; Verger, P.; Peretti-Watel, P.; Seror, V.; Cortaredona, S.; Launay, O.; Raude, J.; Legleye, S.; et al. Poor sleep associated with overuse of media during the COVID-19 lockdown. Sleep 2020, 43. [Google Scholar] [CrossRef]
  50. Mota, N.B.; Weissheimer, J.; Ribeiro, M.; De Paiva, M.; Avilla-Souza, J.; Simabucuru, G.; Chaves, M.F.; Cecchi, L.; Cirne, J.; Cecchi, G.; et al. Dreaming during the COVID-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion. PLoS ONE 2020, 15, e0242903. [Google Scholar] [CrossRef] [PubMed]
  51. Baldi, E.; Savastano, S. Fear of Contagion: One of the Most Devious Enemies to Fight during the COVID-19 Pandemic. Disaster Med. Public Health Prep. 2020, 1–2. [Google Scholar] [CrossRef]
  52. De Luca, P.; Bisogno, A.; Colacurcio, V.; Marra, P.; Cassandro, C.; Camaioni, A.; Cassandro, E.; Scarpa, A. Diagnosis and treatment delay of head and neck cancers during COVID-19 era in a tertiary care academic hospital: What should we expect? Eur. Arch. Oto-Rhino-Laryngol. 2021, 1–5. [Google Scholar] [CrossRef]
  53. Van der Westhuizen, H.-M.; Kotze, K.; Tonkin-Crine, S.; Gobat, N.; Greenhalgh, T. Face coverings for COVID-19: From medical intervention to social practice. BMJ 2020, 370, m3021. [Google Scholar] [CrossRef]
  54. Grundmann, F.; Epstude, K.; Scheibe, S. Face masks reduce emotion-recognition accuracy and perceived closeness. PLoS ONE 2021, 16, e0249792. [Google Scholar] [CrossRef]
  55. Taylor, S.; Asmundson, G.J.G. Negative attitudes about facemasks during the COVID-19 pandemic: The dual importance of perceived ineffectiveness and psychological reactance. PLoS ONE 2021, 16, e0246317. [Google Scholar] [CrossRef]
  56. Li, J.; Zhang, Y.; Niu, X. The COVID-19 pandemic reduces trust behavior. Econ. Lett. 2021, 199, 109700. [Google Scholar] [CrossRef]
  57. Hanna, E.S.; Dingwall, R.; McCartney, M.; West, R.; Townsend, E.; Cassell, J.; Martin, G. Sociocultural reflections on face coverings must not ignore the negative consequences. BMJ 2020, 371, m3782. [Google Scholar] [CrossRef] [PubMed]
  58. Kumari, P.; Gupta, P.; Piyoosh, A.K.; Tyagi, B.; Kumar, P. COVID 19: Impact on mental health of graduating and post graduating students. J. Stat. Manag. Syst. 2021, 24, 67–79. [Google Scholar] [CrossRef]
  59. Dunn, M.; Stephany, F.; Sawyer, S.; Munoz, I.; Raheja, R.; Vaccaro, G.; Lehdonvirta, V. When motivation becomes desperation: Online freelancing during the COVID-19 pandemic. SocArXiv 2020. [Google Scholar] [CrossRef]
  60. Jesus, D.S.V. Necropolitics and necrocapitalism: The impact of COVID-19 on Brazilian creative economy. Mod. Econ. 2020, 11, 1121–1140. [Google Scholar] [CrossRef]
  61. Thakur, V.; Jain, A. COVID 2019-suicides: A global psychological pandemic. Brain Behav. Immun. 2020, 88, 952–953. [Google Scholar] [CrossRef]
  62. Trougakos, J.P.; Chawla, N.; McCarthy, J.M. Working in a pandemic: Exploring the impact of COVID-19 health anxiety on work, family, and health outcomes. J. Appl. Psychol. 2020, 105, 1234–1245. [Google Scholar] [CrossRef] [PubMed]
  63. Pandey, K.; Parreñas, R.S.; Sabio, G.S. Essential and Expendable: Migrant Domestic Workers and the COVID-19 Pandemic. Am. Behav. Sci. 2021, 65, 1287–1301. [Google Scholar] [CrossRef]
  64. Rubenstein, R.E.; Simmons, S. (Eds.) Conflict Resolution after the Pandemic: Building Peace, Pursuing Justice; Routledge: Oxfordshire, UK, 2021. [Google Scholar]
  65. Santabárbara, J.; Lasheras, I.; Lipnicki, D.M.; Bueno-Notivol, J.; Pérez-Moreno, M.; López-Antón, R.; De la Cámara, C.; Lobo, A.; Gracia-García, P. Prevalence of anxiety in the COVID-19 pandemic: An updated meta-analysis of community-based studies. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 2021, 109, 110207. [Google Scholar] [CrossRef]
  66. Adwas, A.A.; Jbireal, J.M.; Azab, A.E. Anxiety: Insights into Signs, Symptoms, Etiology, Pathophysiology, and Treatment. East Afr. Sch. J. Med. Sci. 2019, 2, 580–591. [Google Scholar]
  67. Roy, D.; Tripathy, S.; Kar, S.K.; Sharma, N.; Verma, S.K.; Kaushal, V. Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian J. Psychiatry 2020, 51, 102083. [Google Scholar] [CrossRef]
  68. Lozano-Vargas, A. Impacto de la epidemia del Coronavirus (COVID-19) en la salud mental del personal de salud y en la población general de China. Rev. Neuro-Psiquiatr. 2020, 83, 51–56. [Google Scholar] [CrossRef] [Green Version]
  69. Rodríguez-Muñoz, A.; Antino, M.; Ruíz-Zorrilla, P.; Sanz-Vergel, A. Los Efectos Psicológicos de la Cuarentena por el COVID-19: Un estudio Longitudinal [Proyecto de Investigación en Ejecución]; Universidad Complutense: Madrid, Spain, 2020. [Google Scholar]
  70. Escobar Toro, S. Situación de Salud Mental en el Área Metropolitana del Valle de Aburrá Durante el Aislamiento Preventivo Decretado en Colombia por la Pandemia del Covid 19: Un Análisis Exploratorio. Bachelor’s Thesis, Universidad Eafit, Medellín, Colombia, 2020. [Google Scholar]
  71. Czeisler, M.É.; Lane, R.I.; Petrosky, E.; Wiley, J.F.; Christensen, A.; Njai, R.; Weaver, M.D.; Robbins, R.; Facer-Childs, E.R.; Barger, L.K.; et al. Mental health, substance use, and suicidal ideation during the COVID-19 pandemic—United States, June 24–30, 2020. Morb. Mortal. Wkly. Rep. 2020, 69, 1049. [Google Scholar] [CrossRef]
  72. Bello, H.J.; Palomar-Ciria, N.; Baca-García, E.; Lozano, C. Suicide classificaction for news media using convolutional neural network. arXiv 2021, arXiv:2103.03727. [Google Scholar]
  73. Sloan, M.M.; Haner, M.; Graham, A.; Cullen, F.T.; Pickett, J.T.; Jonson, C.L. Pandemic emotions: The extent, correlates, and mental health consequences of fear of COVID-19. Sociol. Spectr. 2021, 41, 369–386. [Google Scholar] [CrossRef]
  74. Xiong, J.; Lipsitz, O.; Nasri, F.; Lui, L.M.W.; Gill, H.; Phan, L.; Chen-Li, D.; Iacobucci, M.; Ho, R.; Majeed, A.; et al. Impact of COVID-19 pandemic on mental health in the general population: A systematic review. J. Affect. Disord. 2020, 277, 55–64. [Google Scholar] [CrossRef]
  75. Pfefferbaum, B.; North, C.S. Mental health and the COVID-19 pandemic. N. Engl. J. Med. 2020, 383, 510–512. [Google Scholar] [CrossRef]
  76. Usher, K.; Durkin, J.; Bhullar, N. The COVID-19 pandemic and mental health impacts. Int. J. Ment. Health Nurs. 2020, 29, 315–318. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Rossi, R.; Socci, V.; Talevi, D.; Mensi, S.; Niolu, C.; Pacitti, F.; Di Marco, A.; Rossi, A.; Siracusano, A.; Di Lorenzo, G. COVID-19 Pandemic and Lockdown Measures Impact on Mental Health Among the General Population in Italy. Front. Psychiatry 2020, 11, 790. [Google Scholar] [CrossRef]
  78. Shah, K.; Kamrai, D.; Mekala, H.; Mann, B.; Desai, K.; Patel, R.S. Focus on mental health during the Coronavirus (COVID-19) pandemic: Applying learnings from the past outbreaks. Cureus 2020, 12, e7405. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Dozois, D.J.A. Mental Health Research Canada. Anxiety and depression in Canada during the COVID-19 pandemic: A national survey. Can. Psychol. 2021, 62, 136–142. [Google Scholar] [CrossRef]
  80. Mazza, M.G.; De Lorenzo, R.; Conte, C.; Poletti, S.; Vai, B.; Bollettini, I.; Melloni, E.M.T.; Furlan, R.; Ciceri, F.; Rovere-Querini, P.; et al. Anxiety and depression in COVID-19 survivors: Role of inflammatory and clinical predictors. Brain Behav. Immun. 2020, 89, 594–600. [Google Scholar] [CrossRef]
  81. Alpert, O.; Begun, L.; Garren, P.; Solhkhah, R. Cytokine storm induced new onset depression in patients with COVID-19. A new look into the association between depression and cytokines -two case reports. Brain Behav. Immun. Health 2020, 9, 100173. [Google Scholar] [CrossRef] [PubMed]
  82. Choi, E.P.H.; Hui, B.P.H.; Wan, E.Y.F. Depression and Anxiety in Hong Kong during COVID-19. Int. J. Environ. Res. Public Health 2020, 17, 3740. [Google Scholar] [CrossRef]
  83. Gillespie, A.; Carson, J.; Van Assche, I.; Murphy, S.; Harmer, C.P. 737 Risk factors for depression vulnerability during the COVID-19 pandemic: Findings from the Oxford COSIE (COVID-19, Social Isolation and Emotion) Study. Eur. Neuropsychopharmacol. 2020, 40, S417–S418. [Google Scholar] [CrossRef]
  84. Khademian, F.; Delavari, S.; Koohjani, Z.; Khademian, Z. An investigation of depression, anxiety, and stress and its relating factors during COVID-19 pandemic in Iran. BMC Public Health 2021, 21, 1–7. [Google Scholar] [CrossRef] [PubMed]
  85. Ettman, C.K.; Abdalla, S.M.; Cohen, G.H.; Sampson, L.; Vivier, P.M.; Galea, S. Prevalence of Depression Symptoms in US Adults Before and During the COVID-19 Pandemic. JAMA Netw. Open 2020, 3, e2019686. [Google Scholar] [CrossRef]
  86. Lee, J.H.; Lee, H.; Kim, J.E.; Moon, S.J.; Nam, E.W. Analysis of personal and national factors that influence depression in individuals during the COVID-19 pandemic: A web-based cross-sectional survey. Glob. Health 2021, 17, 1–12. [Google Scholar] [CrossRef]
  87. Stanton, R.; To, Q.G.; Khalesi, S.; Williams, S.L.; Alley, S.J.; Thwaite, T.L.; Fenning, A.S.; Vandelanotte, C. Depression, Anxiety and stress during COVID-19: Associations with changes in physical activity, sleep, tobacco and alcohol use in australian adults. Int. J. Environ. Res. Public Health 2020, 17, 4065. [Google Scholar] [CrossRef]
  88. Tee, M.L.; Tee, C.A.; Anlacan, J.P.; Aligam, K.J.G.; Reyes, P.W.C.; Kuruchittham, V.; Ho, R.C. Psychological impact of COVID-19 pandemic in the Philippines. J. Affect. Disord. 2020, 277, 379–391. [Google Scholar] [CrossRef] [PubMed]
  89. Bäuerle, A.; Teufel, M.; Musche, V.; Weismüller, B.; Kohler, H.; Hetkamp, M.; Dörrie, N.; Schweda, A.; Skoda, E.-M. Increased generalized anxiety, depression and distress during the COVID-19 pandemic: A cross-sectional study in Germany. J. Public Health 2020, 42, 672–678. [Google Scholar] [CrossRef] [PubMed]
  90. Cénat, J.M.; Noorishad, P.-G.; Kokou-Kpolou, C.K.; Dalexis, R.D.; Hajizadeh, S.; Guerrier, M.; Clorméus, L.A.; Bukaka, J.; Birangui, J.-P.; Adansikou, K.; et al. Prevalence and correlates of depression during the COVID-19 pandemic and the major role of stigmatization in low- and middle-income countries: A multinational cross-sectional study. Psychiatry Res. 2021, 297, 113714. [Google Scholar] [CrossRef]
  91. Luo, M.; Guo, L.; Yu, M.; Jiang, W.; 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. [Google Scholar] [CrossRef] [PubMed]
  92. Wang, X.; Hegde, S.; Son, C.; Keller, B.; Smith, A.; Sasangohar, F. Investigating Mental Health of US College Students during the COVID-19 Pandemic: Cross-Sectional Survey Study. J. Med. Internet Res. 2020, 22, e22817. [Google Scholar] [CrossRef]
  93. Luceño-Moreno, L.; Talavera-Velasco, B.; García-Albuerne, Y.; Martín-García, J. Symptoms of Posttraumatic Stress, Anxiety, Depression, Levels of Resilience and Burnout in Spanish Health Personnel during the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2020, 17, 5514. [Google Scholar] [CrossRef]
  94. Rehman, U.; Shahnawaz, M.G.; Khan, N.H.; Kharshiing, K.D.; Khursheed, M.; Gupta, K.; Kashyap, D.; Uniyal, R. Depression, Anxiety and Stress Among Indians in Times of COVID-19 Lockdown. Community Ment. Health J. 2021, 57, 42–48. [Google Scholar] [CrossRef]
  95. Salari, N.; Khazaie, H.; Hosseinian-Far, A.; Khaledi-Paveh, B.; Kazeminia, M.; Mohammadi, M.; Shohaimi, S.; Daneshkhah, A.; Eskandari, S. The prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients: A systematic review and meta-regression. Hum. Resour. Health 2020, 18, 1–14. [Google Scholar] [CrossRef]
  96. Tengilimoğlu, D.; Zekioğlu, A.; Tosun, N.; Işık, O.; Tengilimoğlu, O. Impacts of COVID-19 pandemıc perıod on depressıon, anxıety and stress levels of the healthcare employees ın turkey. Leg. Med. 2021, 48, 101811. [Google Scholar] [CrossRef] [PubMed]
  97. Nearchou, F.; Flinn, C.; Niland, R.; Subramaniam, S.S.; Hennessy, E. Exploring the impact of COVID-19 on mental health outcomes in children and adolescents: A Systematic Review. Int. J. Environ. Res. Public Health 2020, 17, 8479. [Google Scholar] [CrossRef]
  98. Schmidt, S.J.; Barblan, L.P.; Lory, I.; Landolt, M.A. Age-related effects of the COVID-19 pandemic on mental health of chidren and adolescents. Eur. J. Psychotraumatol. 2021, 12, 1901407. [Google Scholar] [CrossRef]
  99. Wang, C.; Pan, R.; Wan, X.; Tan, Y.; Xu, L.; McIntyre, R.S.; Choo, F.N.; Tran, B.; Ho, R.; Sharma, V.K.; et al. A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain Behav. Immun. 2020, 87, 40–48. [Google Scholar] [CrossRef]
  100. Chen, F.; Zheng, D.; Liu, J.; Gong, Y.; Guan, Z.; Lou, D. Depression and anxiety among adolescents during COVID-19: A cross-sectional study. Brain Behav. Immun. 2020, 88, 36–38. [Google Scholar] [CrossRef]
  101. De Pue, S.; Gillebert, C.; Dierckx, E.; Vanderhasselt, M.-A.; De Raedt, R.; Van den Bussche, E. The impact of the COVID-19 pandemic on wellbeing and cognitive functioning of older adults. Sci. Rep. 2021, 11, 4636. [Google Scholar] [CrossRef]
  102. Soto-Añari, M.; Ramos-Henderson, M.A.; Camargo, L.; Calizaya López, J.; Caldichoury, N.; López, N. The impact of SARS-CoV-2 on emotional state among older adults in Latin America. Int. Psychogeriatr. 2021, 33, 193–194. [Google Scholar] [CrossRef]
  103. Burn-Out an “Occupational Phenomenon”: International Classification of Diseases. Available online: https://www.who.int/news/item/28-05-2019-burn-out-an-occupational-phenomenon-international-classification-of-diseases (accessed on 21 July 2021).
  104. Shanafelt, T.D.; Hasan, O.; Dyrbye, L.N.; Sinsky, C.; Satele, D.; Sloan, J.; West, C.P. Changes in Burnout and Satisfaction with Work-Life Balance in Physicians and the General US Working Population Between 2011 and 2014. Mayo Clin. Proc. 2015, 90, 1600–1613. [Google Scholar] [CrossRef]
  105. Shanafelt, T.D.; Boone, S.; Tan, L.; Dyrbye, L.N.; Sotile, W.; Satele, D.; West, C.P.; Sloan, J.; Oreskovich, M.R. Burnout and Satisfaction with Work-Life Balance Among US Physicians Relative to the General US Population. Arch. Intern. Med. 2012, 172, 1377–1385. [Google Scholar] [CrossRef] [Green Version]
  106. Dyrbye, L.N.; West, C.P.; Satele, D.; Boone, S.; Tan, L.; Sloan, J.; Shanafelt, T.D. Burnout Among U.S. Medical Students, Residents, and Early Career Physicians Relative to the General U.S. Population. Acad. Med. 2014, 89, 443–451. [Google Scholar] [CrossRef] [Green Version]
  107. Raudenská, J.; Steinerová, V.; Javůrková, A.; Urits, I.; Kaye, A.D.; Viswanath, O.; Varrassi, G. Occupational burnout syndrome and post-traumatic stress among healthcare professionals during the novel coronavirus disease 2019 (COVID-19) pandemic. Best Pr. Res. Clin. Anaesthesiol. 2020, 34, 553–560. [Google Scholar] [CrossRef] [PubMed]
  108. Lubbadeh, T. Job Burnout: A General Literature Review. Int. Rev. Manag. Mark. 2020, 10, 7–15. [Google Scholar] [CrossRef]
  109. Wu, Y.; Wang, J.; Luo, C.; Hu, S.; Lin, X.; Anderson, A.E.; Bruera, E.; Yang, X.; Wei, S.; Qian, Y. A Comparison of Burnout Frequency among Oncology Physicians and Nurses Working on the Frontline and Usual Wards during the COVID-19 Epidemic in Wuhan, China. J. Pain Symptom Manag. 2020, 60, e60–e65. [Google Scholar] [CrossRef] [PubMed]
  110. Panagioti, M.; Geraghty, K.; Johnson, J.; Zhou, A.; Panagopoulou, E.; Chew-Graham, C.; Peters, D.; Hodkinson, A.; Riley, R.; Esmail, A. Association Between Physician Burnout and Patient Safety, Professionalism, and Patient Satisfaction. JAMA Intern. Med. 2018, 178, 1317–1330. [Google Scholar] [CrossRef] [PubMed]
  111. Restauri, N.; Sheridan, A.D. Burnout and Posttraumatic Stress Disorder in the Coronavirus Disease 2019 (COVID-19) Pandemic: Intersection, Impact, and Interventions. J. Am. Coll. Radiol. 2020, 17, 921–926. [Google Scholar] [CrossRef] [PubMed]
  112. Shanafelt, T.; Ripp, J.; Trockel, M. Understanding and Addressing Sources of Anxiety among Health Care Professionals during the COVID-19 Pandemic. JAMA 2020, 323, 2133. [Google Scholar] [CrossRef]
  113. DeMartini, B.; Nisticò, V.; D’Agostino, A.; Priori, A.; Gambini, O. Early Psychiatric Impact of COVID-19 Pandemic on the General Population and Healthcare Workers in Italy: A Preliminary Study. Front. Psychiatry 2020, 11, 561345. [Google Scholar] [CrossRef]
  114. Griffith, A.K. Parental Burnout and Child Maltreatment during the COVID-19 Pandemic. J. Fam. Violence 2020, 1–7. [Google Scholar] [CrossRef]
  115. Raphael, J.L.; Zhang, Y.; Liu, H.; Giardino, A.P. Parenting stress in US families: Implications for paediatric healthcare utilization. Child Care Health Dev. 2010, 36, 216–224. [Google Scholar] [CrossRef] [PubMed]
  116. Roskam, I.; Brianda, M.E.; Mikolajczak, M. A Step Forward in the Conceptualization and Measurement of Parental Burnout: The Parental Burnout Assessment (PBA). Front. Psychol. 2018, 9, 758. [Google Scholar] [CrossRef]
  117. Sorkkila, M.; Aunola, K. Risk Factors for Parental Burnout among Finnish Parents: The Role of Socially Prescribed Perfectionism. J. Child Fam. Stud. 2019, 29, 648–659. [Google Scholar] [CrossRef] [Green Version]
  118. Parkes, A.; Sweeting, H.; Wight, D. Parenting stress and parent support among mothers with high and low education. J. Fam. Psychol. 2015, 29, 907–918. [Google Scholar] [CrossRef]
  119. Lindström, C.; Aman, J.; Norberg, A.L. Parental burnout in relation to sociodemographic, psychosocial and personality factors as well as disease duration and glycaemic control in children with Type 1 diabetes mellitus: Parental burnout in relation to psychosocial, personality and medical factors in childhood diabetes. Acta Paediatr. 2011, 100, 1011–1017. [Google Scholar] [PubMed]
  120. Shanafelt, T.D.; Noseworthy, J.H. Executive Leadership and Physician Well-being: Nine organizational strategies to promote engagement and reduce burnout. Mayo Clin. Proc. 2017, 92, 129–146. [Google Scholar] [CrossRef] [Green Version]
  121. Fessell, D.; Cherniss, C. Coronavirus Disease 2019 (COVID-19) and Beyond: Micropractices for Burnout Prevention and Emotional Wellness. J. Am. Coll. Radiol. 2020, 17, 746–748. [Google Scholar] [CrossRef]
  122. Friedman, M.J.; Resick, P.A.; Bryant, R.; Brewin, C.R. Considering PTSD for DSM-5. Depress. Anxiety 2011, 28, 750–769. [Google Scholar] [CrossRef] [Green Version]
  123. Cheng, P.; Xu, L.-Z.; Zheng, W.-H.; Ng, R.M.; Zhang, L.; Li, L.-J.; Li, W.-H. Psychometric property study of the posttraumatic stress disorder checklist for DSM-5 (PCL-5) in Chinese healthcare workers during the outbreak of corona virus disease 2019. J. Affect. Disord. 2020, 277, 368–374. [Google Scholar] [CrossRef]
  124. Rogers, J.P.; Chesney, E.; Oliver, D.; Pollak, T.; McGuire, P.; Fusar-Poli, P.; Zandi, M.; Lewis, G.; David, A. 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, 611–627. [Google Scholar] [CrossRef]
  125. Banerjee, D. ‘Age and ageism in COVID-19’: Elderly mental health-care vulnerabilities and needs. Asian J. Psychiatry 2020, 51, 102154. [Google Scholar] [CrossRef]
  126. Taghizadeh-Hesary, F.; Akbari, H. The powerful immune system against powerful COVID-19: A hypothesis. Med. Hypotheses 2020, 140, 109762. [Google Scholar] [CrossRef]
  127. Hao, F.; Tan, W.; Jiang, L.; Zhang, L.; Zhao, X.; Zou, Y.; Hu, Y.; Luo, X.; Jiang, X.; McIntyre, R.S.; et al. Do psychiatric patients experience more psychiatric symptoms during COVID-19 pandemic and lockdown? A case-control study with service and research implications for immunopsychiatry. Brain Behav. Immun. 2020, 87, 100–106. [Google Scholar] [CrossRef] [PubMed]
  128. Greene, T.; Harju-Seppänen, J.; Adeniji, M.; Steel, C.; Grey, N.; Brewin, C.R.; Bloomfield, M.A.; Billings, J. Predictors and rates of PTSD, depression and anxiety in UK frontline health and social care workers during COVID-19. Eur. J. Psychotraumatol. 2021, 12, 1882781. [Google Scholar] [CrossRef]
  129. Roccella, M. Children and Coronavirus Infection (COVID-19): What to Tell Children to Avoid Post-traumatic Stress Disorder (PTSD). Open Pediatr. Med. J. 2020, 10, 1–2. [Google Scholar] [CrossRef] [Green Version]
  130. Uptodate.com. Available online: https://www.uptodate.com/contents/acute-stress-disorder-in-adults-epidemiology-pathogenesis-clinical-manifestations-course-and-diagnosis?search=acute%20stress%20disorder&source=search_result&selectedTitle=1∼41&usage_type=default&display_rank=1#H6576019 (accessed on 21 July 2021).
  131. Horton, R. Offline: COVID-19 is not a pandemic. Lancet 2020, 396, 874. [Google Scholar] [CrossRef]
  132. Rodgers, R.F.; Lombardo, C.; Cerolini, S.; Franko, D.L.; Omori, M.; Fuller-Tyszkiewicz, M.; Linardon, J.; Courtet, P.; Guillaume, S. The impact of the COVID -19 pandemic on eating disorder risk and symptoms. Int. J. Eat. Disord. 2020, 53, 1166–1170. [Google Scholar] [CrossRef] [PubMed]
  133. Fernández-Aranda, F.; Casas, M.; Claes, L.; Bryan, D.C.; Favaro, A.; Granero, R.; Gudiol, C.; Jiménez-Murcia, S.; Karwautz, A.; Le Grange, D.; et al. COVID -19 and implications for eating disorders. Eur. Eat. Disord. Rev. 2020, 28, 239–245. [Google Scholar] [CrossRef] [PubMed]
  134. Mitchell, C. PAHO/WHO. 2020. Available online: https://www.paho.org/hq/index.php?option=com_content&view=article&id=15756&Itemid=39630&lang=en (accessed on 21 July 2021).
  135. Abuhammad, S. Violence against Jordanian Women during COVID-19 Outbreak. Int. J. Clin. Pr. 2021, 75, e13824. [Google Scholar] [CrossRef]
  136. Aolymat, I. A Cross-Sectional Study of the Impact of COVID-19 on Domestic Violence, Menstruation, Genital Tract Health, and Contraception Use among Women in Jordan. Am. J. Trop. Med. Hyg. 2021, 104, 519–525. [Google Scholar] [CrossRef]
  137. Berniell, I.; Facchini, G. COVID-19 lockdown and domestic violence: Evidence from internet-search behavior in 11 countries. Eur. Econ. Rev. 2021, 136, 103775. [Google Scholar] [CrossRef]
  138. Dai, M.; Xia, Y.; Han, R. The Impact of Lockdown on Police Service Calls during the COVID-19 Pandemic in China. Polic. A J. Policy Pract. 2021. [Google Scholar] [CrossRef]
  139. Fabbri, C.; Bhatia, A.; Petzold, M.; Jugder, M.; Guedes, A.; Cappa, C.; Devries, K. Modelling the effect of the COVID-19 pandemic on violent discipline against children. Child Abus. Negl. 2021, 116, 104897. [Google Scholar] [CrossRef]
  140. Fereidooni, R.; Mootz, J.; Sabaei, R.; Khoshnood, K.; Heydari, S.T.; Moradian, M.J.; Taherifard, E.; Nasirian, M.; Molavi Vardanjani, H. The COVID-19 pandemic, socioeconomic effects, and intimate partner violence against women: A population-based cohort study in Iran. SSRN Electron. J. 2020. [Google Scholar] [CrossRef]
  141. Guglielmi, S.; Seager, J.; Mitu, K.; Baird, S.; Jones, N. Exploring the impacts of COVID-19 on Rohingya adolescents in Cox’s Bazar: A mixed-methods study. J. Migr. Health 2020, 1, 100031. [Google Scholar] [CrossRef] [PubMed]
  142. Mahmood, K.I.; Shabu, S.A.; M-Amen, K.M.; Hussain, S.S.; Kako, D.A.; Hinchliff, S.; Shabila, N.P. The Impact of COVID-19 Related Lockdown on the Prevalence of Spousal Violence against Women in Kurdistan Region of Iraq. J. Interpers. Violence 2021, 26, 0886260521997929. [Google Scholar] [CrossRef]
  143. Pattojoshi, A.; Sidana, A.; Garg, S.; Mishra, S.N.; Singh, L.K.; Goyal, N.; Tikka, S.K. Staying home is NOT ‘staying safe’: A rapid 8-day online survey on spousal violence against women during the COVID -19 lockdown in India. Psychiatry Clin. Neurosci. 2021, 75, 64–66. [Google Scholar] [CrossRef]
  144. Pinchoff, J.; Austrian, K.; Rajshekhar, N.; Abuya, T.; Kangwana, B.; Ochako, R.; Tidwell, J.B.; Mwanga, D.; Muluve, E.; Mbushi, F.; et al. Gendered economic, social and health effects of the COVID-19 pandemic and mitigation policies in Kenya: Evidence from a prospective cohort survey in Nairobi informal settlements. BMJ Open 2021, 11, e042749. [Google Scholar] [CrossRef] [PubMed]
  145. Unfpa. Available online: https://asiapacific.unfpa.org/sites/default/files/pub-pdf/COVID-19_and_vaw_insights_from_big_data_analysis_final.pdf (accessed on 21 July 2021).
  146. Sharma, P.; Khokhar, A. Domestic violence and coping strategies among married adults during lockdown due to Coronavirus disease (COVID-19) pandemic in India: A cross-sectional study. Disaster Med. Public Health Prep. 2021, 1–8. [Google Scholar] [CrossRef]
  147. Egger, D.; Miguel, E.; Warren, S.S.; Shenoy, A.; Collins, E.; Karlan, D.; Parkerson, D.; Mobarak, A.M.; Fink, G.; Udry, C.; et al. Falling living standards during the COVID-19 crisis: Quantitative evidence from nine developing countries. Sci. Adv. 2021, 7, eabe0997. [Google Scholar] [CrossRef] [PubMed]
  148. Venter, A.; Lewis, C.M.; Saffy, P.; Chadinha, L.P. Locked down: Impact of COVID-19 restrictions on trauma presentations to the emergency department. S. Afr. Med. J. 2020, 111, 52–56. [Google Scholar] [CrossRef]
  149. Agüero, J.M. COVID-19 and the rise of intimate partner violence. World Dev. 2021, 137, 105217. [Google Scholar] [CrossRef]
  150. Tadesse, A.W.; Tarekegn, S.M.; Wagaw, G.B.; Muluneh, M.D.; Kassa, A.M. Prevalence and Associated Factors of Intimate Partner Violence among Married Women During COVID-19 Pandemic Restrictions: A Community-Based Study. J. Interpers. Violence 2020. [Google Scholar] [CrossRef]
  151. Ghanbari, A.; Pouy, S.; Panahi, L.; Khorasgani, A.E.; Hasandoost, F. Violence against Frontline Emergency Nurses during Pandemic of COVID-19 in Guilan: A Cross-Sectional Study. Research Square. 2020. Available online: https://www.researchsquare.com/article/rs-116197/v1 (accessed on 21 July 2021).
  152. Wang, W.; Lu, L.; Kelifa, M.M.; Yu, Y.; He, A.; Cao, N.; Zheng, S.; Yan, W.; Yang, Y. Mental Health Problems in Chinese Healthcare Workers Exposed to Workplace Violence During the COVID-19 Outbreak: A Cross-Sectional Study Using Propensity Score Matching Analysis. Health Policy Politi 2020, 13, 2827–2833. [Google Scholar] [CrossRef]
  153. Naghizadeh, S.; Mirghafourvand, M.; Mohammadirad, R. Domestic violence and its relationship with quality of life in pregnant women during the outbreak of COVID-19 disease. BMC Pregnancy Childbirth 2021, 21, 88. [Google Scholar] [CrossRef] [PubMed]
  154. Teshome, A.; Gudu, W.; Bekele, D.; Asfaw, M.; Enyew, R.; Compton, S.D. Intimate partner violence among prenatal care attendees amidst the COVID-19 crisis: The incidence in Ethiopia. Int. J. Gynecol. Obstet. 2021, 153, 45–50. [Google Scholar] [CrossRef]
  155. Gulesci, S.; Beccar, M.P.; Dj, U. Can Youth Empowerment Programs Reduce Violence against Girls during the COVID-19 Pandemic? Discussion Paper No. DP15808; CEPR: Washington, DC, USA, 2021. [Google Scholar]
  156. Haddad, C.; Malhab, S.B.; Sacre, H.; Malaeb, D.; Azzi, J.; Khachman, D.; Lahoud, N.; Salameh, P. Factors Related to Pregnancy Outcome among Lebanese Women during COVID-19 Confinement. Research Square. 2020. Available online: http://dx.doi.org/10.21203/rs.3.rs-117860/v1 (accessed on 21 July 2021).
  157. Hajj, A.; Badro, D.A.; Selwan, C.A.; Sacre, H.; Aoun, R.; Salameh, P. Gender Differences in Mental Health Outcomes amid the COVID-19 Pandemic and a Collapsing Economy: A Cross-Sectional Study. Research Square. 2020. Available online: https://www.researchsquare.com/article/rs-122511/v1 (accessed on 21 July 2021).
  158. Krishnakumar, A.; Verma, S. Understanding Domestic Violence in India during COVID-19: A Routine Activity Approach. Asian J. Criminol. 2021, 16, 19–35. [Google Scholar] [CrossRef]
  159. Mahapatro, M.; Prasad, M.M.; Singh, S.P. Role of Social Support in Women facing Domestic Violence during Lockdown of COVID-19 while Cohabiting with the Abusers: Analysis of Cases Registered with the Family Counseling Centre, Alwar, India. J. Fam. Issues 2021, 11, 0192513X20984496. [Google Scholar] [CrossRef]
  160. Rockowitz, S.; Stevens, L.; Colloff, M.F.; Smith, L.; Rockey, J.; Ritchie, J.; Kanja, W.; Cotton, J.; Flowe, H.D. Patterns of violence against adults and children during the COVID-19 pandemic in Kenya. PsyArXiv 2020, 11, e048636. [Google Scholar] [CrossRef]
  161. Wasil, A.R.; Gillespie, S.; Patel, R.; Petre, A.; Venturo-Conerly, K.E.; Shingleton, R.M.; Weisz, J.R.; DeRubeis, R.J. Reassessing evidence-based content in popular smartphone apps for depression and anxiety: Developing and applying user-adjusted analyses. J. Consult. Clin. Psychol. 2020, 88, 983–993. [Google Scholar] [CrossRef] [PubMed]
  162. Nicholas, J.; Larsen, M.E.; Proudfoot, J.; Christensen, H. Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality. J. Med. Internet Res. 2015, 17, e198. [Google Scholar] [CrossRef]
  163. Walrave, M.; Waeterloos, C.; Ponnet, K. Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach. JMIR Public Health Surveill. 2020, 6, e20572. [Google Scholar] [CrossRef]
  164. Zens, M.; Brammertz, A.; Herpich, J.; Südkamp, N.; Hinterseer, M. App-Based Tracking of Self-Reported COVID-19 Symptoms: Analysis of Questionnaire Data. J. Med. Internet Res. 2020, 22, e21956. [Google Scholar] [CrossRef]
  165. Clemente-Suárez, V.; Navarro-Jiménez, E.; Moreno-Luna, L.; Saavedra-Serrano, M.; Jimenez, M.; Simón, J.; Tornero-Aguilera, J. The Impact of the COVID-19 Pandemic on Social, Health, and Economy. Sustainability 2021, 13, 6314. [Google Scholar] [CrossRef]
  166. Petrovic, D.; Haba-Rubio, J.; Carmeli, C.; Vollenweider, P.; Heinzer, R.; Stringhini, S. Social inequalities in sleep-disordered breathing: Evidence from the CoLaus HypnoLaus study. J. Sleep Res. 2019, 28, e12799. [Google Scholar] [CrossRef] [Green Version]
  167. Clemente-Suárez, V.J.; Dalamitros, A.A.; Beltran-Velasco, A.I.; Mielgo-Ayuso, J.; Tornero-Aguilera, J.F. Social and psychophysiological consequences of the COVID-19 pandemic: An extensive literature review. Front. Psychol. 2020, 16, 3077. [Google Scholar]
  168. Sosso, F.E.; Matos, E. Socioeconomic disparities in obstructive sleep apnea: A systematic review of empirical research. Sleep Breath. 2021, 16. [Google Scholar] [CrossRef]
  169. Clemente-Suárez, V.J.; Ramos-Campo, D.J.; Mielgo-Ayuso, J.; Dalamitros, A.A.; Nikolaidis, P.A.; Hormeño-Holgado, A.; Tornero-Aguilera, J.F. Nutrition in the Actual COVID-19 Pandemic. A Narrative Review. Nutrients 2021, 13, 1924. [Google Scholar] [CrossRef]
  170. Yin, J.; Jin, X.; Shan, Z.; Li, S.; Huang, H.; Li, P.; Peng, X.; Peng, Z.; Yu, K.; Bao, W.; et al. Relationship of Sleep Duration With All-Cause Mortality and Cardiovascular Events: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies. J. Am. Hear. Assoc. 2017, 6, e005947. [Google Scholar] [CrossRef] [Green Version]
  171. Phelan, J.C.; Link, B.; Tehranifar, P. Social Conditions as Fundamental Causes of Health Inequalities: Theory, Evidence, and Policy Implications. J. Health Soc. Behav. 2010, 51, S28–S40. [Google Scholar] [CrossRef] [Green Version]
  172. Gosling, J.A.; Batterham, P.; Glozier, N.; Christensen, H. The influence of job stress, social support and health status on intermittent and chronic sleep disturbance: An 8-year longitudinal analysis. Sleep Med. 2014, 15, 979–985. [Google Scholar] [CrossRef]
  173. Unützer, J.; Kimmel, R.J.; Snowden, M. Psychiatry in the age of COVID-19. World Psychiatry 2020, 19, 130. [Google Scholar] [CrossRef]
  174. Gorwood, P.; Fiorillo, A. One year after the COVID-19: What have we learned, what shall we do next? Eur. Psychiatry 2021, 2021, 64. [Google Scholar]
  175. Marazziti, D.; Stahl, S.M. The relevance of COVID-19 pandemic to psychiatry. World Psychiatry 2020, 19, 261. [Google Scholar] [CrossRef]
Table 1. Characteristics of violence studies.
Table 1. Characteristics of violence studies.
AuthorCountryData SourceAnalyzed Period of TimeOutcomes
Abuhammad 2020 [135] JordanOnline surveyMay 2020–July 2020Increase in intimate partner violence (IPV) (40%). Only 10% of abused women had been abused before the quarantine.
Aolymat 2021 [136]JordanOnline surveySeptember 2020Increase in IPV (20.5%). Difficulties when accessing sexual and reproductive health services (increase from 35% to 41% when comparing pre- and post-pandemic periods)
Berniell and Facchini 2020 [137]Argentina; Brazil; Chile; Colombia; France; Germany, Italy; Mexico; United Kingdom; United States.Google search data;
Google mobility data
March to October 202031% increase in domestic violence against women.
Dai et al., 2021 [138]Hubei, ChinaPolice recordsJanuary 2019 to June 2020During the pre-pandemic period, 3.9% of all calls were related to IPV. During confinement, that percentage increased to 14.8% and 6.9%.
Fabri et al. [139]Nigeria; Mongolia; SurinameFace-to-face survey.Multiple indicator cluster surveys (MICS) of Nigeria (2016), Mongolia (2018), and Suriname (2018). Data collected from mothers or other caregivers during the pandemic. Findings evidence that the models predict large increases (35% to 46%) in violent discipline scores in “high restriction” scenarios and smaller increases (4% to 6%) in “low restriction” scenario scores.
Fereidooni et al., 2021 [140]Isfahan, IranSurvey data (face-to-face before the pandemic and by phone during the pandemic)Pre-pandemic and post-pandemicThe prevalence of IPV (Intimate Partner Violence) during COVID-19 has increased from 54% (pre-pandemic) to 65 % (post-pandemic).
More than 25% of women reported the first incidence of IPV during COVID-19. The participation of women in paid employment decreases the probability of exposure to IPV.
Guglielmi et al., 2020 [141]Bangladesh (Rohingya and Bangladeshi teens)Telephone surveys of adolescents aged 10–14 and 15–19 (1761), qualitative interviews with adolescents aged 15–19 (30), and interviews with key informants (7)March 2020 to August 20208% of the adolescents surveyed (boys and girls) reported an increase in gender-based violence during the pandemic.
Around a third of boys and a fifth of girls living in the camps reported an escalation of violence by the police and military force to impose containment measures.
Married girls were twice as likely as single girls to report an increase in gender-based violence in the community. The pandemic has led to a decline in the reported health status of Rohingya adolescents, exacerbating food insecurity, educational and economic marginalization, and risks to physical integrity, both among girls and boys.
Mahmood et al., 2021 [142]Kurdistan region, IraqSelf-completed online questionnaire after COVID-19 confinement periodsJune 2020Significant increases in violence were observed from the period before confinement to the period of confinement for any type of violence (32.1% to 38.7%), emotional abuse (29.5% to 35.0%), and physical violence (12.7% to 17.6%). Regarding emotional abuse, significant increases were observed in humiliation (24.6% to 28.3%) and intimidation (14.2% to 21.4) during confinement. Concerning physical violence, significant increases were observed in arm twisting or hair pulling (9.0% to 13.0%) and hitting (5.2% to 9.2%) during confinement. Forcing to have sex also increased significantly during confinement (6.6% to 9.5%).
Pattojoshi et al., 2020 [143]IndiaSelf-completed online questionnaireMay 2020The study reports an IPV rate of 18.1%, of which verbal and emotional violence was the most common, followed by physical and sexual violence. Approximately 5% of women reported experiencing violence for the first time since confinement began, and of those who reported experiencing it before, 78% reported an increase since confinement. The most commonly perceived reasons for violence were: unemployment, financial limitations, inability to socialize, staying at home (husband-forced), and sharing of childcare responsibilities.
Pinchoff et al., 2021 [144]Nairobi, KenyaPhone interviews April to June of 2020A survey conducted in informal settlements. Results reported increases in violence against women inside (IPV) and outside the home (45% and 24%, respectively). 8% of women are more likely to report a higher risk of IPV (compared to men), particularly in households with greater food insecurity.
UNFPA et al., 2021 [145]Bangladesh, India, Indonesia, Malaysia, Nepal, Thailand, Philippines, SingaporeSocial media data; internet search data; big dataOctober 2019 to September 2020Online misogyny increased during the lockdown in all countries examined. Online support and services for survivors increased as well. Online help-seeking increased by 10–70% in most countries.
Sharma and Khokhar 2021 [146]IndiaOnline surveyApril 2020Approximately 7.4% had faced IPV during the confinement. 85.7% of people who faced IPV reported a higher frequency of IPV during confinement. 57% of the victims chose to ignore the situation or used meditation techniques to cope with the situation.
Egger et al., 2021 [147]9 countries in Africa (Burkina Faso, Ghana, Kenya, Rwanda, Sierra Leone), 3 in Asia (Bangladesh, Nepal, Philippines), and one in Latin America (Colombia)Phone or cellphone surveyApril 2020 to June 2020Decreases in employment and income were evidenced in all settings since March 2020. The proportion of households experiencing a drop in income ranged from 8% to 87% (median, 68%).
Coping strategies at home and government assistance were insufficient to maintain pre-crisis living standards, leading to widespread food insecurity and dire economic conditions even after three months of the crisis. Even in Colombia, the country in our sample with the highest GDP per capita and therefore potentially the greatest financial resources to deal with the crisis, the majority of respondents reported declines in income (87%) and employment (49%) and an increase in food insecurity (59%).
Venter et al., 2020 [148]Johannesburg, Southe AfricaReview of medical recordsJune 2019 to June 202025% decrease in trauma due to interpersonal violence between 2019 and 2020. Decrease of 40% in secondary traumas and traffic accidents between 2019 and 2020.
Agüero (2021) [149]PeruTelephone records of the IVP helplineApril to July 2020.Almost 60% of women had experienced violence before COVID-19. The incidence rate of calls increased by 48% between April and July 2020, with effects increasing over time. The increase in calls was found in all Peruvian states.
Table 2. Violence outcomes by country, data source and period time analyzed.
Table 2. Violence outcomes by country, data source and period time analyzed.
AuthorCountryData SourceAnalyzed Period of TimeOutcomes
Ghanbari et al., 2020 [151]Rasht, IranSelf-completed online surveyAugust 2020The prevalence of verbal abuse of nurses was 62.5% during the first 6 months of the pandemic and was generally perpetrated by patients or their families. The prevalence of physical violence was 17.8%.
Gulesci et al., 2021 [155]BoliviaTelephone interviewFebruary 2021Girls participating in a youth empowerment program in Bolivia were 9.6% less likely to report experiencing violence compared to girls in a control group.
Haddad et al., 2020 [156]LebanonOnline electronic surveyFebruary 2021Women receiving psychological violence during COVID-19 lockdown have a lower, but not significantly lower, probability of pregnancy and a higher probability of unwanted pregnancy.
Hajj et al., 2021 [157]LebanonOnline electronic surveyMay 2020IPV was significantly associated with increased stress and insomnia, was weakly associated with anxiety and well-being, and was not significantly associated with post-traumatic stress symptoms.
Krishnakumar and Verma 2021 [158]India Data were obtained from wide circulation newspapers in IndiaMarch 2020 to May 2020The symbolic value associated with women by the perpetrators and the lower visibility and accessibility of the perpetrators made women suitable targets for IPV.
Finally, the scarcity of police force and travel restrictions reported from formal and informal sources resulted in the absence of capable guardians.
We concluded that changes in people’s routine activities during the COVID-19 lockdown provided more opportunities for IPV.
Mahapatro et al., 2021 [159]IndiaQualitative study (phone call) January 2020 to May 2020Surviving women found it much more difficult to access services and social support networks to cope with domestic abuse during the period of confinement.
Naghizadeh et al., 2021 [153]Tabriz, IranSelf-completed survey at the hospitalMay 2020 to August 2020More than a third of pregnant women (35.2%) suffered IPV. The most common type of violence experienced was emotional violence (32.8%), followed by sexual violence (12.4%), and physical violence (4.8%).
Rockowitz et al., 2020 [160]KenyaPersonal interviewsMarch 2020 to November 2020Children were more likely than adults to be attacked during the day, by a single perpetrator rather than multiple perpetrators, and in a private rather than public setting. Children were more frequently raped by neighbors and family members, while adults had the same probability of being attacked by strangers and acquaintances. On average, the children in the sample were four years younger compared to the median age reported in the national samples before the pandemic (12 years versus 16 years). Survivors were more likely to be female than male.
Tadesse et al., 2020 [150]EthiopiaPersonal survey June 2020 to July 2020Approximately 22% of those surveyed experienced at least one form of IPV (physical, psychological, sexual) during confinement. The most important determinants of having experienced violence were being illiterate or having an illiterate husband, having a substance-using husband, and the community’s tolerance of violence.
Teshome et al., 2020 [154]EthiopiaOpen data kitAugust 2020 to November 2020In the sample, the prevalence of IPV in pregnant women was 7.1%, and among them, 72% reported emotional violence, 49% reported sexual violence, and 30% reported physical violence. A significant predictor of IPV was having a husband who chewed khat and drank alcohol.
Wang et al., 2020 [152]ChinaOnline electronic surveyFebruary 2020Rates of medical violence at work were 20.4% during the COVID-19 outbreak, and those who had experienced workplace violence were more likely to have elevated mental health problems.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Clemente-Suárez, V.J.; Martínez-González, M.B.; Benitez-Agudelo, J.C.; Navarro-Jiménez, E.; Beltran-Velasco, A.I.; Ruisoto, P.; Diaz Arroyo, E.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. The Impact of the COVID-19 Pandemic on Mental Disorders. A Critical Review. Int. J. Environ. Res. Public Health 2021, 18, 10041. https://doi.org/10.3390/ijerph181910041

AMA Style

Clemente-Suárez VJ, Martínez-González MB, Benitez-Agudelo JC, Navarro-Jiménez E, Beltran-Velasco AI, Ruisoto P, Diaz Arroyo E, Laborde-Cárdenas CC, Tornero-Aguilera JF. The Impact of the COVID-19 Pandemic on Mental Disorders. A Critical Review. International Journal of Environmental Research and Public Health. 2021; 18(19):10041. https://doi.org/10.3390/ijerph181910041

Chicago/Turabian Style

Clemente-Suárez, Vicente Javier, Marina Begoña Martínez-González, Juan Camilo Benitez-Agudelo, Eduardo Navarro-Jiménez, Ana Isabel Beltran-Velasco, Pablo Ruisoto, Esperanza Diaz Arroyo, Carmen Cecilia Laborde-Cárdenas, and Jose Francisco Tornero-Aguilera. 2021. "The Impact of the COVID-19 Pandemic on Mental Disorders. A Critical Review" International Journal of Environmental Research and Public Health 18, no. 19: 10041. https://doi.org/10.3390/ijerph181910041

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop