Smith et al. (2020)
United Kingdom
Psychiatry Res
|
Quantitative cross-sectional study
n= 932
United Kingdom residents
>18 years, both sexes
|
Assess the impact of COVID-19 social distancing on mental health. |
Female, younger age, lower annual income, smoker, and physical multimorbidity. |
Male, older age, higher annual income, non-smoker, and no physical multimorbidity. |
Duarte et al. (2020)
Brazil
Ciênc. Saúde Colet.
|
Quantitative cross-sectional study
n= 799
Rio Grande do sul residents
18-75 years, both sexes
|
To verify the factors associated with indicators of mental disorders symptoms in Rio Grande do sul residents. |
Female, younger age, previous diagnosis of mental disorder, non-health worker, reduced income in the period, part of the risk group, and greater exposure to information about COVID-19. |
Male, older age, not having a diagnosis of mental disorder, health professional, not having economic losses, not being from the risk group, and suffering less exposure to information about COVID-19. |
Mazza et al. (2020)
Italy
Int. j. environ. res. public health (Online)
|
Quantitative cross-sectional study
n=2,766
Italy residents
>18 years, both sexes
|
To establish the prevalence of psychiatric symptoms and identify risk and protective factors for psychological distress in the general population. |
Female, younger age, no children, negative affect, detachment, history of stressful situations, history of medical problems, having an acquaintance infected with cOVID-19, working outside the home. |
Male, older age, with children, positive affect, not having a clinical history, not having infected acquaintances, home office work. |
Lei et al. (2020)
China
Med Sci Monit
|
Quantitative cross-sectional study
n=1,593
Southwest China residents
>18 years, both sexes
|
To assess and compare the prevalence and associated factors of anxiety and depression among the public affected by quarantine and those not affected during the cOVID-19 outbreak. |
Female, younger age, student, divorced, widowed or single, low household income, low schooling, poor self-perception of health, greater concern about being infected, elevated level of self-assessment of knowledge about cOVID-19, lack of psychological support. |
Male, older age, not a student, married, high family income, no economic loss, high schooling level, good self-perception of health, psychological support, or counseling from the community/government agencies. |
Fawaz; Samaha (2020)
Lebanon
Int J Soc Psychiatry
|
Quantitative cross-sectional study
n=950
Lebanon residents
>18 years, both sexes
|
To assess the prevalence of post-traumatic stress symptoms (pTss) during the cOVID-19 quarantine period in Lebanese citizens. |
Quarantine practices. |
Not applicable (NA). |
Verma; Mishra (2020)
India
Int J Soc Psychiatry
|
Quantitative cross-sectional study
n=354
India residents
>18 years, both sexes
|
To identify the prevalence rates of depression, anxiety and stress and their sociodemographic correlates among the Indian population during the lockdown to contain the COVID-19 spread. |
Male, unemployed, alcohol abuse. |
Female, employed. |
Gopal; Sharma; Subramanyam (2020)
India
PLoS One
|
Quantitative longitudinal study (2 months)
n=159
> 18 years, both sexes
|
To investigate how levels of anxiety, stress and depressive symptoms changed during confinement among Indian adults. |
Female, history of mental health problems, increased domestic responsibility. |
Male, less domestic responsibility, higher resilience levels. |
Lee; Cadigan; Rhew (2020)
USA
J Adolesc Health
|
Quantitative longitudinal study
n=564
Young adults residing in Seattle, WA.
22-29, both sexes
|
To examine the increasing loneliness in a sample of young adults. |
Female, concerns about the impact of COVID-19 on her social relationships. |
Male, social support during the pandemic. |
Ammar et al. (2020)
USA
PLoS One
|
Quantitative cross-sectional study
n=1,047
Multicenter study, Asia, Africa, Europe and Americas residents
>18 years, both sexes
|
To assess the emotional and behavioral changes associated with home confinement during the COVID-19 outbreak. |
Weakening of physical and social contacts with disruption of normal lifestyles risk groups, living in congregated environments, substance use problems, pre-existing psychiatric problems. |
No psychiatric and chemical addiction history. |
Losada-Baltar et al. (2020)
Spain
Rev Esp Geriatr Gerontol
|
Quantitative cross-sectional study
n=1,501
Spain residents
18-88 years, both sexes
|
To analyze differences, based on age and self-perception of aging, in anxiety, sadness, loneliness and comorbidities during confinement due to COVID-19. |
Younger age, negative self-perception about own aging. |
Older age, especially middle age. |
Guo et al. (2020)
China
J Med Internet Res
|
Quantitative cross-sectional study
n=2,331
China residents
>18 years, both sexes
|
To estimate the prevalence of anxiety and depressive symptoms and to identify associated demographic and psychosocial factors in the Chinese population during the COVID-19 pandemic quarantine period. |
Younger age, living alone, having monetary loss, concerns about infection, sedentary behavior, poor sleep quality, living with cancer or other chronic illnesses, or having family members with cancer. |
Older age, living with other people, physical activity, not having comorbidities, connection and social support. |
Every-Palmer et al. (2020)
New Zealand
PLoS One
|
Quantitative cross-sectional study
n=2,010
New Zealand residents
18-90 years, both sexes
|
To assess levels of psychological distress, anxiety, well-being, suicidal ideation, alcohol consumption and family relationships. |
Younger age, living alone, unemployment or reduced work, health problems and previous diagnoses of mental illness. |
Older age, enjoying working from home, spending more time with the family, flexibility at work, social cohesion, creating healthy habits. |
Hidalgo et al. (2020)
Spain
Int. j. environ. res. public health
|
Sequential exploratory design (mixed research)
Qualitative stage n=40
Quantitative stage n=6,789
Spain residents
>18 years, both sexes
|
To analyze the psychological impact of the COVID-19 pandemic and the lockdown on the Spanish population and identify which population profiles were most affected. |
Female, younger age, mother, low or medium socioeconomic status. |
Male, middle-aged, higher socioeconomic status. |
Pérez-Fuentes et al. (2020)
Spain
PLoS One
|
Quantitative cross-sectional study
n=1,014
Spain residents
18-76, both sexes.
|
To analyze the effect of exceptionally stressful situations, such as current health risk, on an individual’s cognitive and emotional state. |
Greater perception of threat and susceptibility to disease. |
Lower perception of threat and susceptibility to disease. |
Burhamah et al. (2020)
Kuwait
J Affect Disord
|
Quantitative cross-sectional study
n=4,132
Kuwait residents
>18 years, both sexes
|
To assess the impact of the COVID-19 outbreak on mental health in Kuwait and explore the influence of risk factors. |
Female, younger age (<30), single, job loss, financial stress, previous psychiatric history, smokers, having family members with cOVID-19, healthcare professional, increased use of social media and information about COVID-19, fear of infection. |
Male, older age, satisfaction with the government, confidence in the country's care standards, retired. |
Ozamiz-Etxebarria et al. (2020)
Spain
Cad Saude Publica
|
Exploratory descriptive cross-sectional study
n=976
Basque Autonomous Community residents
>18 years, both sexes
|
To measure levels of stress, anxiety and depression in a sample of the Basque Autonomous Community. |
Younger age, chronic diseases, confinement. |
Older age, no chronic diseases. |
Massad et al. (2020)
Jordan East
Mediterr Health J
|
Quantitative cross-sectional study
n=5274
Jordan residents
>18 years, both sexes
|
To estimate the prevalence of quarantine-related anxiety and its socioeconomic correlates. |
Female, younger, more members living in the house, low social support, low income. |
Older age, greater support and social network, and higher income. |
Martínez et al. (2020)
Colombia
Med. U.P.B
|
Systematic review
n=16
|
To conduct a systematic review of research trends on symptoms of mental disorders during the COVID-19 pandemic. |
Female, younger age, consumption of psychoactive substances, low school performance, job loss, poor sleep quality, poor self-care and low perception of health status during the pandemic. |
Male, older age, employed, satisfactory self-care. |
Nelson et al. (2020)
Canada
PLoS One
|
Quantitative cross-sectional study
n=2,065
United states, canada, and Europe residents
>18 years, both sexes
|
To characterize whether current levels of individual transdiagnostic mental health symptoms (i.e., anxiety and depression) are elevated when compared to historical normative data. |
Greater concern about COVID-19, greater cases of COVID-19 in the country and in the world, job loss, adherence to strict quarantine recommendations. |
Employed, more flexible quarantine measures. |
Pandey et al. (2020)
India
PLoS One
|
Quantitative cross-sectional study
n=1,395
India residents
18-73 years, both sexes
|
To explore the degree of psychological distress in terms of Depression, Anxiety and Stress among the adult population of India during the mandatory 21-day lockdown. |
Female, younger age, single, longer lockdown time, concerns related to disease morbidity and mortality, lower schooling level. |
Male, older age, married or divorced, shorter lockdown time, higher schooling level. |
Peng et al. (2020)
China
J Affect Disord
|
Quantitative cross-sectional study
n=2,237
Residents of de Shenzhen, China, with unconfirmed COVID-19 infection
18-70 years, both sexes
|
To assess the prevalence and clinical correlates of depressive symptoms in the general population quarantined during the COVID-19 outbreak. |
Younger age, single, lower schooling level, poor sleep quality. |
Older age, married, higher schooling level, good sleep quality. |
Becerra-García et al. (2020)
Spain
Rev. esp. salud publica
|
Quantitative cross-sectional study
n=151
Spain residents
18-76 years, both sexes
|
To analyze the differences in the psychopathological symptoms of the Spanish population during the COVID-19 quarantine based on sociodemographic, environmental and occupational variables. |
Younger age (<35), unemployed, acquaintances and relatives with cOVID-19, not practicing sports, living alone, devoting little time to pandemic information (<30 minutes). |
Older age, employed, not having acquaintances and relatives with cOVID-19, practicing sports daily, living with more than two people, dedicating more time to information about the pandemic. |
Benke et al. (2020)
Germany
Psychiatry Res
|
Quantitative cross-sectional study
n=4,335
Germany residents
18-95 years, both sexes
|
To identify potential predictors for the immediate mental health consequences of the COVID-19 pandemic. |
Female, younger age, lower schooling level, unemployed, single, living alone, living without children, current or past psychiatric and psychological treatments, being in self-quarantine, belonging to a COVID-19 risk group, more restrictive public health measures. |
Female, advanced age, higher schooling level, formal employment, living with a partner, living with children, not having a history of psychotherapeutic or psychiatric treatment. |
Glowacz; Schmits (2020)
Belgium
Psychiatry Res
|
Quantitative cross-sectional study
n=2,871
Unspecified sample
18-85 years, both sexes
|
To measure psychological distress related to the cOVID-19 crisis, public health measures for containment and provide health intervention policies. |
Younger age, proximity to contamination in young people, social media use overload, intolerance of uncertainty, higher levels of occupational activities in older people. |
Older age, tolerance of uncertainty, lower occupational activities in older people. |
Pieh et al. (2020)
Austria
PLoS One
|
Quantitative cross-sectional study
n=1,005
Austria residents
>18 years, both sexes
|
To assess mental health during the COVID-19 lockdown in Austria and the effect of age, gender, income, work, and physical activity. |
Female, younger age (adults under 35 years old), people without work, and low income. |
Male, older age, economically active, physical activity. |
Bu; Steptoe; Fancourt (2020)
United Kingdom
Public Health
|
Quantitative cross-sectional study with paired samples
before (n=31,064) and during (n=60,341)
United Kingdom residents
> 18 years, both sexes
|
To compare sociodemographic predictors of loneliness before and during the COVID-19 pandemic. |
Female, young adults, student, people with less education or income, economically inactive, people living alone and residing in urban areas, minority ethnic groups. |
Male gender, older age, more educated and economically active people, people who do not live alone, living in rural areas, majority ethnic groups (white). |
Paz et al. (2020)
Ecuador
PLoS One
|
Quantitative cross-sectional study
n=759
Subjects who were part of the epidemiological surveillance program in Ecuador
>18 years, both sexes
|
To identify behaviors during confinement and sociodemographic variables associated with the mental health status of confirmed or suspected COVID-19 patients. |
Female, being from the coast of Ecuador. |
Engaging in physical activity, having a daily routine, and spending an hour or less daily searching for information. |
López-Carral; Grechuta; Verschure (2020)
Spain
PLoS One
|
Online experiment and quantitative cross-sectional study
n=112
Residents of 17 countries (53.57% in Spain)
|
To assess the effects of quarantine-induced mood changes, implicitly measured through subjective ratings of emotional stimuli. |
Change of routine, negative perception of the current situation, living alone. |
Enjoying working from home, living with other people. |
Gómez-Salgado et al. (2020)
Spain
Int. j. environ. res. public health (Online)
|
Cross-sectional observational study
n=4,180
Spain residents
>18 years, both sexes
|
To analyze psychological distress during the cOVID-19 pandemic. |
Female, younger age, working outside the home in essential activities during the pandemic, being in quarantine, low health perception, presence of symptoms of cOVID-19, having close contact with someone infected or suspected of being infected. |
Female, older age, better health perception, living with children or children under 16 years of age. |