Dataset Information

Prevalence of Sleep Disturbances and Sleep Quality in Chinese Healthcare Workers During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis.

ABSTRACT: Objectives: Healthcare workers (HWs) experienced high levels of work stress during the COVID-19 pandemic, leading to a high risk of sleep disturbances. This meta-analysis aimed to explore the prevalence of sleep disturbances and sleep quality in Chinese HWs during the COVID-19 pandemic. Methods: English (PubMed, EMBASE, PsycINFO, Web of Science, and the Cochrane Library) and Chinese databases (WanFang, Chinese National Knowledge Infrastructure, and SinoMed) were systematically and independently searched for relevant studies published from December 1, 2019, to May 20, 2020. The pooled prevalence of sleep disturbances and sleep quality were calculated using a random-effects model. Results: A total of 17 studies involving 12,682 Chinese HWs were included in the meta-analysis. The pooled prevalence of sleep disturbances in Chinese HWs was 45.1% (95% CI: 37.2-53.1%). We found that the prevalence of sleep disturbances varied among frontline, infected, and non-frontline HWs (Q = 96.96, p < 0.001); females and males (Q = 9.10, p = 0.003); studies using different assessment instruments (Q = 96.05, p < 0.001); and studies with different sample sizes (Q = 5.77, p = 0.016) and cut-off values (Q = 62.28, p < 0.001). The pooled mean total score of the Pittsburgh Sleep Quality Index (PSQI) was 9.83 (95% CI: 8.61-11.04). HWs in Wuhan had a higher total PSQI score than those in other regions (Q = 9.21, p = 0.002). Conclusion: Sleep disturbances were common in Chinese HWs during the COVID-19 pandemic, particularly in frontline and infected HWs. Our results indicate the heavy mental health burden on HWs during the COVID-19 pandemic in China and can provide other countries with valuable information to assist HWs during the crisis.

SUBMITTER: Xia L

PROVIDER: S-EPMC7930820 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Prevalence of Sleep Disturbances and Sleep Quality in Chinese Healthcare Workers During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis.

Xia Lei L Chen Changhao C Liu Zhiqiang Z Luo Xiangfen X Guo Chunyan C Liu Zhiwei Z Zhang Kai K Liu Huanzhong H

Frontiers in psychiatry 20210218

<b>Objectives:</b> Healthcare workers (HWs) experienced high levels of work stress during the COVID-19 pandemic, leading to a high risk of sleep disturbances. This meta-analysis aimed to explore the prevalence of sleep disturbances and sleep quality in Chinese HWs during the COVID-19 pandemic. <b>Methods:</b> English (PubMed, EMBASE, PsycINFO, Web of Science, and the Cochrane Library) and Chinese databases (WanFang, Chinese National Knowledge Infrastructure, and SinoMed) were systematically and ...[more]

PMID: 33679493

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Project description:AimsThis review aims to explore the prevalence and incidence rates of mental health conditions in healthcare workers during and after a pandemic outbreak and which factors influence rates.BackgroundPandemics place considerable burden on care services, impacting on workers' health and their ability to deliver services. We systematically reviewed the prevalence and incidence of mental health conditions in care workers during pandemics.DesignSystematic review and meta-analysis.Data sourcesSearches of MEDLINE, Embase, Cochrane Library and PsychINFO for cohort, cross-sectional and case-control studies were undertaken on the 31 March 2020 (from inception to 31 March 2020).Review methodsOnly prevalence or incidence rates for mental health conditions from validated tools were included. Study selection, data extraction and quality assessment were carried out by two reviewers. Meta-analyses and subgroup analyses were produced for pandemic period (pre- and post), age, country income, country, clinical setting for major depression disorder (MDD), anxiety disorder and post-traumatic stress disorder (PTSD).ResultsNo studies of incidence were found. Prevalence estimates showed that the most common mental health condition was PTSD (21.7%) followed by anxiety disorder (16.1%), MDD (13.4%) and acute stress disorder (7.4%) (low risk of bias). For symptoms of these conditions there was substantial variation in the prevalence estimates for depression (95% confidence interval [CI]:31.8%; 60.5%), anxiety (95% CI:34.2%; 57.7%) and PTSD symptoms (95% CI,21.4%; 65.4%) (moderate risk of bias). Age, level of exposure and type of care professional were identified as important moderating factors.ConclusionMental disorders affect healthcare workers during and after infectious disease pandemics, with higher proportions experiencing symptoms.ImpactThis review provides prevalence estimates of mental health conditions during and after a pandemic which could be used to inform service staffing impact and formulation of preventative strategies, by identifying clinical populations who may be at high risk of developing mental health symptoms and conditions.

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

Prevalence of Sleep Disturbances and Sleep Quality in Chinese Healthcare Workers During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis.

Publications

Prevalence of Sleep Disturbances and Sleep Quality in Chinese Healthcare Workers During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis.

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