Impact of COVID-19 outbreak on nurses’ mental health: a prospective cohort study
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ABSTRACT: Objectives
To evaluate variations in nurses’ sleep quality and symptoms of depression, anxiety and stress during the COVID-19 outbreak, and to evaluate whether the presence of potential risk factors influenced these symptoms over time. Methods
This prospective cohort study surveyed nurses three times – surveying personal factors, working conditions, family dynamics, and attitude towards COVID-19 – between March 31 and May 4, 2020. Nurses’ mental health was assessed through Depression Anxiety Stress Scales – short version (DASS-21); their sleep quality was assessed through a 5-point Likert scale question. Results
Nurses’ sleep quality and symptoms of depression, anxiety and stress presented a positive variation over the COVID-19 outbreak. The only factors which are directly related to the COVID-19 outbreak and that were associated with the positive variation in nurses’ symptoms of depression, anxiety and stress were the fear to infect others and the fear to be infected (higher fear of being infected or to infect someone corresponded to increased symptoms of depression, anxiety and stress). Conclusions
Although the COVID-19 outbreak seems to have had an immediate impact on nurses’ mental health, a psychological adaptation phenomenon was also observed. Future research should focus on assessing nurses’ symptoms of depression, anxiety and stress, after the COVID-19 pandemic, in order to compare and contrast the findings with the results of our study. Highlights • Over the COVID-19 outbreak, nurses seem to have adapted to the “new normal”.• The fear to infect others and the fear to be infected had impact on nurses’ mental health.• Being displaced from home presented no association with nurses’ mental health.• It is crucial to provide nurses with emotional support during the COVID-19 outbreak.• Caring for nurses’ mental health during the COVID-19 outbreak is a question of public health.
SUBMITTER: Sampaio F
PROVIDER: S-EPMC7732227 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
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Project description:BackgroundCorona Virus Disease 19 (COVID-19) is a new pandemic, declared a public health emergency by the World Health Organization, which could have negative consequences for pregnant and postpartum women. The scarce evidence published to date suggests that perinatal mental health has deteriorated since the COVID-19 outbreak. However, the few studies published so far have some limitations, such as a cross-sectional design and the omission of important factors for the understanding of perinatal mental health, including governmental restriction measures and healthcare practices implemented at the maternity hospitals. Within the Riseup-PPD COST Action, a study is underway to assess the impact of COVID-19 in perinatal mental health. The primary objectives are to (1) evaluate changes in perinatal mental health outcomes; and (2) determine the risk and protective factors for perinatal mental health during the COVID-19 pandemic. Additionally, we will compare the results between the countries participating in the study.MethodsThis is an international prospective cohort study, with a baseline and three follow-up assessments over a six-month period. It is being carried out in 11 European countries (Albania, Bulgaria, Cyprus, France, Greece, Israel, Malta, Portugal, Spain, Turkey, and the United Kingdom), Argentina, Brazil and Chile. The sample consists of adult pregnant and postpartum women (with infants up to 6 months of age). The assessment includes measures on COVID-19 epidemiology and public health measures (Oxford COVID-19 Government Response Tracker dataset), Coronavirus Perinatal Experiences (COPE questionnaires), psychological distress (BSI-18), depression (EPDS), anxiety (GAD-7) and post-traumatic stress symptoms (PTSD checklist for DSM-V).DiscussionThis study will provide important information for understanding the impact of the COVID-19 pandemic on perinatal mental health and well-being, including the identification of potential risk and protective factors by implementing predictive models using machine learning techniques. The findings will help policymakers develop suitable guidelines and prevention strategies for perinatal mental health and contribute to designing tailored mental health interventions.Trial registrationClinicalTrials.gov Identifier: NCT04595123 .
| S-EPMC7887558 | biostudies-literature
Project description:BackgroundThe COVID-19 pandemic is found to affect the mental health of the population. Undergraduate medical students are especially prone to mental health disorders and hence could be more vulnerable to the impact of the pandemic.MethodsA prospective longitudinal study was conducted on 217 undergraduate medical students in a medical college at Chennai, India. Depression, anxiety, and stress levels were recorded using Depression Anxiety Stress Scale 21 Items (DASS21) before and during the COVID-19 outbreak in India in December 2019 and June 2020, respectively. In the follow-up survey, in addition to DASS21, the Pittsburgh Sleep Quality Index to assess sleep quality and a self-administered questionnaire to assess the impact of COVID-19 related stressors were used. The self-administered questionnaire assessed the status of COVID-19 testing, interactions with COVID-19 patients, self-perceived levels of concerns and worries related to academics (COVID-19-AA (academic apprehensions)) and those pertaining to the self and family/friends (COVID-19-GA (general apprehensions)). Cross-sectional and longitudinal comparison of overall scores of depression, anxiety, and stress and scores stratified by gender, year of study, place of residence and monthly family income were performed. Predictors for depression, anxiety, and stress during COVID-19 were investigated using adjusted binary logistic regression analysis and results were expressed as adjusted odds ratio with 95% confidence interval (CI). A P value < 0.05 was considered statistically significant.ResultsThe average scores of depression, anxiety, and stress during the baseline survey were 7.55 ± 7.86, 4.6 ± 6.19 and 7.31 ± 7.34 with the prevalence (95% Cl) of 33.2% [27-39.9%], 21.2% [16-27.2%] and 20.7% [15.5-26.7%]; in follow-up survey, the mean scores were 8.16 ± 8.9, 6.11 ± 7.13 and 9.31 ± 8.18 with the prevalence being 35.5% [29.1-42.2%], 33.2% [27-39.9%] and 24.9% [19.3-31.2%] for depression, anxiety, and stress respectively. There was a significant increase in both the prevalence and levels of anxiety and stress (P < 0.001), with depression remaining unchanged during COVID-19, irrespective of gender, year of study, place of residence and family's monthly income. Poor sleep quality, higher levels of baseline depression, anxiety, and stress, higher COVID-19-GA, COVID-19 patients in family/friends and direct interactions with COVID-19 patients were found to be significant predictors of negative mental health in undergraduate medical students. COVID-19-AA was not significantly associated with depression, anxiety, and stress.ConclusionThe COVID-19 pandemic appears to negatively affect the mental health of the undergraduate medical students with the prevalence and levels of anxiety and stress being increased, and depression symptoms remaining unaltered. Addressing and mitigating the negative effect of COVID-19 on the mental health of this population is crucial.
| S-EPMC7571415 | biostudies-literature
Project description:Public health studies warn of the vulnerability of people with mental disorders during the COVID-19 outbreak. Thus, the aims of this study were to (1) explore the presence of symptoms of anxiety, depression and acute stress among people with a mental disorder (MD); (2) evaluate the rate of COVID-19 infection between MD and non-MD, and (3) study the relationship between the emotional state of people with a mental disorder and some environmental variables. A cross-sectional study starting on March 29 to April 5, 2020 based on a national online survey using snowball sampling techniques was conducted. Symptoms of anxiety (Hamilton Anxiety Scale), depression (Beck Depression Inventory) and acute stress (Acute Stress Disorder Inventory) were compared in MD and non-MD. The rate of COVID-19 confirmed cases among MD and non-MD was compared as well as the relationship between some environmental variables and the emotional state within MD. Up to 1839 [201 (10.9%) MD] participants completed the survey. MD showed significant higher mean (SD) in anxiety [24.7 (11.8) vs. 17 (10.3); p = 0.001], depression [7.9 (6.0) vs. 4.2 (4.2); p = 0.001] and acute stress [6.3 (3.2) vs. 4.4 (3.1); p = 0.001] scores than non-MD. The COVID-19 confirmed cases rate was higher in MD participants than in non-MD (3.5% vs. 0.4%; p < 0.001). Among the MD group, being a COVID-19 confirmed case, the lack in basic needs coverage, the rpesence of violence, drug use and the absence of physical excercise were associated with more severe depressive symptoms. Findings suggest that the COVID-19 has an impact on the emotional state of people with mental disorders.
| S-EPMC7817388 | biostudies-literature
Project description:ObjectiveWe aimed to investigate the mental health impact of COVID-19 on a demographically well-characterized population cohort by gender and previous depression status.MethodsAmong people who participated in a community cohort study between 2013 and 2018 with previous depression measurement, a total of 1928 people without quarantine experience (680 men and 1249 women) were included after responding to an online survey in March 2020. In the 2020 survey, people were queried about daily needs supply, social support, risk perception, change during the COVID-19 pandemic, as well as mental health indices measuring loneliness, anxiety symptoms, post-traumatic stress disorder (PTSD), and depression. Separate analyses by gender were conducted to assess the association between COVID-19-related experiences and each mental health index, using multivariable logistic regressions with additional adjustment and stratification with pre-existing depression status.ResultsWe could not observe significant gender differences for depression, anxiety, PTSD, and loneliness at 55 days after the start of the COVID-19 outbreak. Most external support, including daily needs supply and social support, protected men and women from experiencing severe anxiety (for life supply, OR = 0.92 (95%CI 0.88-0.97) (men) and OR = 0.95 (95% CI 0.91-0.99) (women); for social support, OR = 0.92(both for men and women, p < 0.01)). The results were similar for depression and PTSD. External support showed a larger reduction in the likelihoods for anxiety and depression during the COVID-19 pandemic among people with pre-existing depression compared to previously healthy people, and it was more prominent in men.ConclusionCOVID-19 significantly affected the mental health of both men and women in the early period of the pandemic. Having enough supply of daily needs and social support seems important, especially for people with previous depression.
| S-EPMC8590509 | biostudies-literature
Project description:BackgroundPrevious studies into mental health service utilisation during the COVID-19 pandemic are limited to a few countries or specific type of service. In addition, data on changes in telepsychiatry are currently lacking.AimsWe aimed to investigate whether the COVID-19 pandemic is associated with changes in mental health service utilisation, including telepsychiatry, and how these changes were distributed among patients with mental illness during the first COVID-19 outbreak.MethodThis retrospective study obtained routinely assessed healthcare data from a large Dutch mental healthcare institute. Data from the second quarter of 2020 (the first COVID-19 outbreak period) were compared with the pre-pandemic period between January 2018 and March 2020. Time-series analyses were performed with the quasi-Poisson generalised linear model, to examine the effect of the COVID-19 lockdown and the overall trend of mental health service utilisation per communication modality and diagnostic category.ResultsWe analysed 204 808 care contacts of 28 038 patients. The overall number of care contacts in the second quarter of 2020 remained the same as in the previous 2 years, because the number of video consultations significantly increased (B = 2.17, P = 0.488 × 10-3) as the number of face-to-face out-patient contacts significantly decreased (B = -0.98, P = 0.011). This was true for all different diagnostic categories, although this change was less pronounced in patients with psychotic disorders.ConclusionsDiminished face-to-face out-patient contacts were well-compensated by the substantial increase of video consultations during the first COVID-19 outbreak in The Netherlands. This increase was less pronounced for psychotic disorders. Further research should elucidate the need for disorder-specific digital mental healthcare delivery.
| S-EPMC8632375 | biostudies-literature
Project description:BackgroundDisease outbreak not only carries the risk of death to the public due to the infection, but it also can lead to unbearable psychological impact on the mental health of the individuals. This study aims to explore and evaluate the burden of psychological problems on the Iranian general population during the outbreak of COVID-19.MethodA cross-sectional web-based survey was conducted among the general population of Iran age 15 and above. Demographic variables, depression, and anxiety symptoms were evaluated using the Patient Health Questionnaire-9 and General Anxiety Disorder-7 questionnaires.ResultsAmong the 8591 participants, the mean age was 34.37 (± 11.25) years and 66.4% were female while 33.6% were male. Based on our results, 1295 (15.1%) and 1733 (20.1%) of the general population had clinically significant depressive and anxiety symptoms, respectively. Based on the demographic variables, female gender was associated with a higher risk for developing depression and anxiety symptoms, whereas getting information about the disease from medical journals and articles, being older, and being married were considered as associated protective factors. In terms of depression, being a healthcare worker was an associated risk factor. On the other hand, for anxiety, having higher education was a protective factor while a higher number of individuals in a household was considered as a risk factor.ConclusionsThis study identified a major mental health problem in the Iranian population during the time of the COVID-19 outbreak. Therefore, establishing a targeted mental health support program during the time of public emergencies, such as the disease outbreak, is advised.
| S-EPMC7913044 | biostudies-literature
Project description:IntroductionPandemic public health measures have affected mental health for many people. We sought to determine how people were managing their mental health concerns during the pandemic, and to identify worker characteristics where actions were more common.MethodsA prospective cohort of 1646 Australians, who were in paid employment prior to the pandemic, completed a survey during 27 April- 26 July 2020 on changes in work, health, and actions taken to manage their mental health concerns. Descriptive statistics were calculated to determine actions taken to manage mental health concerns during the prior month, such as lifestyle changes, exercise, use of online resources, and talking to others. Regression models identify worker characteristics where actions were more common.ResultsLifestyle changes were the most frequently reported action to manage mental health concerns (78%), and were more common for women (OR = 2.33, 95%CI=[1.82, 3.03]), and people experiencing recent work loss (OR = 1.54, 95%CI=[1.04, 2.28]). Overall, mental health self-care was more common for people experiencing psychological distress, or with pre-existing mental conditions. Talking to friends about mental health, and making changes to diet and exercise, was more common for women and those aged 18-24 years. Psychological distress was a significant indicator for consulting with health professionals.ConclusionActions to manage mental health concerns during the pandemic were common, as were conversations with friends or family members. During economic crises, support and services should focus on reducing barriers to formal mental health care, particularly for people who less commonly seek help, and those experiencing moderate to high levels of psychological distress.
| S-EPMC10782597 | biostudies-literature
Project description:ObjectivesThe COVID-19 outbreak beginning in late 2019 has resulted in negative emotions among the public. However, many healthcare workers risked their lives by voluntarily travelling to the worst-hit area, Hubei Province, to support antipandemic work. This study explored the mental health changes in these healthcare workers and tried to discover the influencing factors.DesignA longitudinal online survey was begun on 8 February 2020, using the snowball sampling method, and this first phase ended on 22 February 2020 (T1). The follow-up survey was conducted from 8 February to 22 February 2021 (T2).SettingHealthcare workers from outside of the Hubei area who went to the province to provide medical assistance.Participants963 healthcare workers who completed both surveys.MeasuresSelf-Rating Scale of Sleep (SRSS), Generalised Anxiety Scale (GAD-7) and 9-item Patient Health Questionnaire (PHQ-9).ResultsThere were no significant differences in the SRSS scores or in the GAD-7 scores between T1 and T2 (t=0.994, 0.288; p>0.05). However, the PHQ-9 score at T2 was significantly higher than the score at T1 (t=-10.812, p<0.001). Through multiple linear regression analysis, we found that the following traits could predict higher GAD-7 and PHQ-9 scores at T2: male sex, single marital status, occupation of nurse, lower professional technical titles, healthcare workers having a history of psychosis, treating seriously ill patients, having relatively poor self-perceived health, caring for patients who died and having family members who had been infected with COVID-19.ConclusionsThe results indicate that the depression levels of these special healthcare workers increased in the long term, and the initial demographics and experiences related to the pandemic played an important role in predicting their long-term poor mental health. In the future, more appropriate psychological decompression training should be provided for these special healthcare workers.
| S-EPMC9438106 | biostudies-literature
Project description:BackgroundThe Coronavirus Disease 2019 (COVID-19) pandemic and associated mitigation policies created a global economic and health crisis of unprecedented depth and scale, raising the estimated prevalence of depression by more than a quarter in high-income countries. Low- and middle-income countries (LMICs) suffered the negative effects on living standards the most severely. However, the consequences of the pandemic for mental health in LMICs have received less attention. Therefore, this study assesses the association between the COVID-19 crisis and mental health in 8 LMICs.Methods and findingsWe conducted a prospective cohort study to examine the correlation between the COVID-19 pandemic and mental health in 10 populations from 8 LMICs in Asia, Africa, and South America. The analysis included 21,162 individuals (mean age 38.01 years, 64% female) who were interviewed at least once pre- as well as post-pandemic. The total number of survey waves ranged from 2 to 17 (mean 7.1). Our individual-level primary outcome measure was based on validated screening tools for depression and a weighted index of depression questions, dependent on the sample. Sample-specific estimates and 95% confidence intervals (CIs) for the association between COVID-19 periods and mental health were estimated using linear regressions with individual fixed effects, controlling for independent time trends and seasonal variation in mental health where possible. In addition, a regression discontinuity design was used for the samples with multiple surveys conducted just before and after the onset of the pandemic. We aggregated sample-specific coefficients using a random-effects model, distinguishing between estimates for the short (0 to 4 months) and longer term (4+ months). The random-effects aggregation showed that depression symptoms are associated with a increase by 0.29 standard deviations (SDs) (95% CI [-.47, -.11], p-value = 0.002) in the 4 months following the onset of the pandemic. This change was equivalent to moving from the 50th to the 63rd percentile in our median sample. Although aggregate depression is correlated with a decline to 0.21 SD (95% CI [-0.07, -.34], p-value = 0.003) in the period thereafter, the average recovery of 0.07 SD (95% CI [-0.09, .22], p-value = 0.41) was not statistically significant. The observed trends were consistent across countries and robust to alternative specifications. Two limitations of our study are that not all samples are representative of the national population, and the mental health measures differ across samples.ConclusionsControlling for seasonality, we documented a large, significant, negative association of the pandemic on mental health, especially during the early months of lockdown. The magnitude is comparable (but opposite) to the effects of cash transfers and multifaceted antipoverty programs on mental health in LMICs. Absent policy interventions, the pandemic could be associated with a lasting legacy of depression, particularly in settings with limited mental health support services, such as in many LMICs. We also demonstrated that mental health fluctuates with agricultural crop cycles, deteriorating during "lean", pre-harvest periods and recovering thereafter. Ignoring such seasonal variations in mental health may lead to unreliable inferences about the association between the pandemic and mental health.
| S-EPMC10079130 | biostudies-literature
Project description:BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has posed a significant influence on public mental health. Current efforts focus on alleviating the impacts of the disease on public health and the economy, with the psychological effects due to COVID-19 relatively ignored. In this research, we are interested in exploring the quantitative characterization of the pandemic impact on public mental health by studying an online survey dataset of the United States.MethodsThe analyses are conducted based on a large scale of online mental health-related survey study in the United States, conducted over 12 consecutive weeks from April 23, 2020 to July 21, 2020. We are interested in examining the risk factors that have a significant impact on mental health as well as in their estimated effects over time. We employ the multiple imputation by chained equations (MICE) method to deal with missing values and take logistic regression with the least absolute shrinkage and selection operator (Lasso) method to identify risk factors for mental health.ResultsOur analysis shows that risk predictors for an individual to experience mental health issues include the pandemic situation of the State where the individual resides, age, gender, race, marital status, health conditions, the number of household members, employment status, the level of confidence of the future food affordability, availability of health insurance, mortgage status, and the information of kids enrolling in school. The effects of most of the predictors seem to change over time though the degree varies for different risk factors. The effects of risk factors, such as States and gender show noticeable change over time, whereas the factor age exhibits seemingly unchanged effects over time.ConclusionsThe analysis results unveil evidence-based findings to identify the groups who are psychologically vulnerable to the COVID-19 pandemic. This study provides helpful evidence for assisting healthcare providers and policymakers to take steps for mitigating the pandemic effects on public mental health, especially in boosting public health care, improving public confidence in future food conditions, and creating more job opportunities.Trial registrationThis article does not report the results of a health care intervention on human participants.
| S-EPMC8758244 | biostudies-literature