Dataset Information

Mental Health in COVID-19 Pandemic: A Meta-Review of Prevalence Meta-Analyses.

ABSTRACT: Background: Mental health burden has been massively reported during the COVID-19 pandemic period. Aiming to summarise these data, we present a meta-review of meta-analyses that evaluated the impact of COVID-19 pandemic on anxiety, depressive and stress symptoms, psychological distress, post-traumatic stress disorder/symptoms (PTSD), and sleep disturbance, reporting its prevalence on general public (GP) and health care workers (HCW). Methods: A search was performed in the PubMed, EMBASE, and the Web of Science. Sleep disturbances, psychological distress, stress, and burnout were grouped as "Psychophysiological stress," and anxiety, depression, and PTSD were grouped as "Psychopathology." A random-effects model, calculating the pooled prevalence together with 95% confidence interval was performed for each domain. Subgroup analyses were performed for each population type (GP and HCW) and for each mental health outcome. For anxiety and depression, subgroup analysis for population type was performed. Heterogeneity is reported as I ². Publication bias was assessed through visual inspection of the funnel plot, and further tested by Egger's test and trim and fill analyses. Results: A total of 18 meta-analyses were included. The prevalence of psychophysiological stress was 31.99% (CI: 26.88-37.58, I ² = 99.9%). HCW showed a higher prevalence (37.74%, CI: 33.26-42.45, I ² = 99.7%) than the GP (20.67%, 15.07-27.66, I ² = 99.9%). The overall prevalence of insomnia, psychological distress, and stress were, respectively, 32.34% (CI: 25.65-39.84), 28.25% (CI: 18.12-41.20), and 36% (CI: 29.31-43.54). Psychopathology was present at 26.45% (CI: 24.22-28.79, I ² = 99.9%) of the sample, with similar estimates for population (HCW 26.14%, CI: 23.37-29.12, I ² = 99.9%; GP: 26.99%, CI: 23.41-30.9, I ² = 99.9%). The prevalence of anxiety, depression, and PTSD was 27.77% (CI: 24.47-31.32), 26.93% (CI: 23.92-30.17), and 20% (CI: 15.54-24.37), respectively. Similar proportions between populations were found for anxiety (HCW = 27.5%, CI: 23.78-31.55; GP = 28.33%, CI: 22.1-35.5) and depression (HCW = 27.05%, CI: 23.14-31.36; GP = 26.7%, CI: 22.32-31.59). Asymmetry in the funnel plot was found, and a slight increase in the estimate of overall psychopathology (29.08%, CI: 26.42-31.89) was found after the trim and fill analysis. Conclusions: The prevalence of mental health problems ranged from 20 to 36%. HCW presented a higher prevalence of psychophysiological stress than the general population. Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=252221, identifier: CRD42021252221.

SUBMITTER: de Sousa GM

PROVIDER: S-EPMC8490780 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundHospital staff is at high risk of developing mental health issues during the coronavirus (COVID-19) pandemic. However, the literature lacks an overall and inclusive picture of mental health problems with comprehensive analysis among hospital staff during the COVID-19 pandemic.ObjectivesTo ascertain the prevalence of anxiety, depression and other mental health outcomes as reported in original articles among hospital staff during the COVID-19 pandemic.DesignA PRISMA 2020 and MOOSE 2000 compliant umbrella review of published meta-analyses of observational studies evaluating the prevalence of mental health problems in hospital staff during the pandemic.Review methodsSystematic searches were conducted in PubMed/Medline, CINAHL, EMBASE, and PsycINFO from December 1st, 2019, until August 13th 2021. The random effects model was used for the meta-analysis, and the I2 index was employed to assess between-study heterogeneity. Publication bias using Egger test and LFK index was examined. Data was analyzed using STATA 17.0 software. AMSTAR-2 was applied for the quality assessment of systematic reviews, while we used GRADE to rate the quality of evidence.ResultsForty-four meta-analyses from 1298 individual studies were included in the final analysis, encompassing the prevalence of 16 mental health symptoms. One-third of hospital workers reported anxiety (Prevalence: 29.9%, 95% CI:27.1% to 32.7%) and depression (Prevalence: 28.4%, 95% CI:25.5% to 31.3%) symptomatology, while about 40% (95% CI: 36.9% to 42.0%) suffered from sleeping disorders. Fear-related symptoms, reduced well-being, poor quality of life, and acute stress symptoms had the highest prevalence among hospital staff. However, the quality of evidence in these areas varied from low to very low. Nurses suffered more often from sleep problems and symptoms of anxiety and depression than doctors, whereas doctors reported a higher prevalence of acute stress and post-traumatic disorders. The burden of anxiety, depression, and sleep disorders was higher among female employees than their male counterparts. Remarkably, acute stress and insomnia affected more than half of first-line medical staff.ConclusionsThe prevalence of mental health problems among hospital staff during the COVID-19 pandemic is generally high, with anxiety, depression and insomnia symptoms representing the most robust evidence based on a large dataset of prevalence meta-analyses. However, there is no strong confidence in the body of evidence for each outcome assessed.RegistrationNot registered.Tweetable abstractThe COVID-19 pandemic is having a major impact on the mental health of hospital staff. The need for support must be different for nurses and doctors @eldi12345.

Project description:The COVID-19 pandemic and related restrictions can impact mental health. To quantify the mental health burden of COVID-19 pandemic, we conducted a systematic review and meta-analysis, searching World Health Organization COVID-19/PsycInfo/PubMed databases (09/29/2020), including observational studies reporting on mental health outcomes in any population affected by COVID-19. Primary outcomes were the prevalence of anxiety, depression, stress, sleep problems, posttraumatic symptoms. Sensitivity analyses were conducted on severe mental health problems, in high-quality studies, and in representative samples. Subgroup analyses were conducted stratified by age, sex, country income level, and COVID-19 infection status. One-hundred-seventy-three studies from February to July 2020 were included (n = 502,261, median sample = 948, age = 34.4 years, females = 63%). Ninety-one percent were cross-sectional studies, and 18.5%/57.2% were of high/moderate quality. The highest prevalence emerged for posttraumatic symptoms in COVID-19 infected people (94%), followed by behavioral problems in those with prior mental disorders (77%), fear in healthcare workers (71%), anxiety in caregivers/family members of people with COVID-19 (42%), general health/social contact/passive coping style in the general population (38%), depression in those with prior somatic disorders (37%), and fear in other-than-healthcare workers (29%). Females and people with COVID-19 infection had higher rates of almost all outcomes; college students/young adults of anxiety, depression, sleep problems, suicidal ideation; adults of fear and posttraumatic symptoms. Anxiety, depression, and posttraumatic symptoms were more prevalent in low-/middle-income countries, sleep problems in high-income countries. The COVID-19 pandemic adversely impacts mental health in a unique manner across population subgroups. Our results inform tailored preventive strategies and interventions to mitigate current, future, and transgenerational adverse mental health of the COVID-19 pandemic.

Project description:Objective: The purpose of this meta-analysis was to summarize the prevalence and risk factors of mental health problems among healthcare workers during the COVID-19 pandemic. Methods: We applied an optimized search strategy across the PubMed, EMBASE, Scopus, PsycINFO, and four Chinese databases, with hand searching supplemented to identify relevant surveys. Studies were eligible for inclusion if they were published in peer-reviewed literature and used a validated method to assess the prevalence and risk factors of mental health problems among healthcare workers during the COVID-19 pandemic. Heterogeneity was quantified using Q statistics and the I 2 statistics. The potential causes of heterogeneity were investigated using subgroup analysis and meta-regression analysis. Sensitivity analysis was performed to examine the robustness of the results. Results: We pooled and analyzed data from 20 studies comprising 10,886 healthcare workers. The prevalence of depression, anxiety, insomnia, post-traumatic stress symptoms, phobia, obsessive-compulsive symptoms, and somatization symptoms was 24.1, 28.6, 44.1, 25.6, 35.0, 16.2, and 10.7%, respectively. Female and nurses had a high prevalence of depression and anxiety. Frontline healthcare workers had a higher prevalence of anxiety and a lower prevalence of depression than the those in the second-line. Furthermore, the proportion of moderate-severe depression and anxiety is higher in the frontline. Additionally, four studies reported on risk factors of mental health problems. Conclusions: In this systematic review, healthcare workers have a relatively high prevalence of depression, anxiety, insomnia, post-traumatic stress symptoms, phobia, obsessive-compulsive symptoms, and somatization symptoms during the COVID-19 pandemic, and focus should be on the healthcare workers at high risk of mental problems. Mental health problems in healthcare workers should be taken seriously, and timely screening and appropriate intervention for the high-risk group are highly recommended. Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020179189.

Project description:AimTo identify the prevalence of mental health problems and sleep disturbances among nursing students during the COVID-19 pandemic.BackgroundAs a future professional workforce, nursing students are expected to play a role in controlling the COVID-19 pandemic; however, physical and mental health problems may hinder their willingness to stay in the nursing profession. Evidence of the prevalence of the health problems among nursing students related to COVID-19 may allow educators to manage their students' health problems and make them feel more positive about their future careers.DesignSystematic review and meta-analysis. This study was prospectively registered with PROSPERO.Data sourcesDatabases, including CINAHL, Embase, PubMed and Web of Science, were searched for all related journal articles, from database inception to June 29, 2021, published between 2020 and 2021.MethodsThis review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines using a PICOS search strategy. A DerSimonian-Laird random-effects model was used to estimate the prevalence and potential heterogeneity among the selected studies using the Cochran Q statistic and I-square test. Publication bias was assessed using the Egger intercept test.ResultsSeventeen studies were included in the meta-analysis, representing 13,247 nursing students. During the COVID-19 pandemic, the prevalence of four health problems and sleep disturbances were identified. The health problem with the highest prevalence in nursing students was depression (52%). Other COVID-19-related health problems were fear (41%), anxiety (32%) and stress (30%) and sleep disturbances (27%).ConclusionsThe findings from this study showed that strategies are necessary to manage nursing students' teaching and learning during the COVID-19 pandemic or similar future situations. Our results suggest that preparing modified distance learning might reduce the prevalence of health problems related to the educational process. In addition, providing regular mental health assessments or online mental health services to students may improve their mental health and increase their well-being. Nursing education policies regarding clinical practice remain to be formulated to ensure the achievement of competencies to support future careers while considering the mental readiness and safety of students.

Dataset Information

Mental Health in COVID-19 Pandemic: A Meta-Review of Prevalence Meta-Analyses.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets