Sleep quality and mood symptoms in conscripted frontline nurse in Wuhan, China during COVID-19 outbreak: A cross-sectional study

A theoretical framework for Acute Care Nurse Stress Appraisal: Application of the transactional model of stress and coping

AIM

To develop a framework for understanding the stress appraisal process among acute care nurses during the COVID-19 pandemic.

DESIGN

A secondary analysis of open-ended responses from a cross-sectional survey of 3030 frontline, acute care nurses in New Jersey and the effect of burnout during the COVID-19 pandemic.

METHODS

Lazarus and Folkman's transactional model of stress and coping guided the study. Thematic analysis was used to analyse 1607 open-ended responses.

RESULTS

Nine themes emerged during the secondary appraisal of stress. Five themes contributed to distress and burnout including (1) high patient acuity with scarce resources, (2) constantly changing policies with inconsistent messaging, (3) insufficient PPE, (4) unprepared pandemic planning and (5) feeling undervalued. Four themes led to eustress and contributed to post-traumatic growth including (1) team nursing to ensure sufficient resource allocation, (2) open channels of communication, (3) sense- of-duty and (4) personal strength from new possibilities.

CONCLUSION

The COVID-19 pandemic was a traumatic event for patients and the nursing workforce. Internal and external demands placed on acute care nurses increased burnout, however, a subset of nurses with adequate support experienced personal growth.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Beyond mental health interventions for acute care nurses, organizational interventions such as reevaluation of emergency action plans to optimize resource allocation, and work environment strategies such as improved communication and decision-making transparency are necessary.

IMPACT

To better understand how frontline acute care nurses experienced stress during COVID-19, a data-informed framework was developed that included a primary and secondary appraisal of stress. Themes contributing to distress and burnout were identified, and themes leading to eustress and post-traumatic growth were also identified. These findings can assist nurse leaders in optimizing strategies to reduce burnout and promote post-traumatic growth in the post-COVID years.

REPORTING METHOD

No patient or public contribution.

Prevalence and factors associated with poor sleep quality among nurses in COVID-19 wards

The COVID-19 pandemic has significantly impacted the working conditions of nurses, leading to a detrimental effect on their sleep quality. This cross-sectional study aimed to investigate the prevalence of poor sleep quality and its associated factors among nurses working in COVID-19 wards in Kermanshah, Iran. A total of 97 nurses were selected through simple random sampling from COVID-19 wards. Data was collected using a demographic information sheet and the Pittsburgh Sleep Quality Index. Descriptive and inferential statistical methods, including chi-square and multiple logistic regression, were used for data analysis. The results showed that 74.2% (n = 72) of the nurses experienced poor sleep quality. Significant associations were found between poor sleep quality and work experience (p = 0.045) as well as the type of work shift (p = 0.001). However, no significant relationships were observed between poor sleep quality and factors such as age, sex, body mass index, overtime hours per month, physical activity, or underlying diseases. The high prevalence of poor sleep quality among nurses working in COVID-19 wards underscores the necessity of implementing targeted interventions to address this issue. In this regard, in addition to periodic shift schedule changes and reductions in working hours, it is necessary to adopt purposeful measures to improve working conditions and enhance the physical and mental health of nurses. These measures may include providing sufficient human resources to reduce the workload and fatigue of nurses, appropriate scheduling of working hours, and the implementation of stress management programs.

Sleep quality and mental health among Chinese nurses after the COVID-19 pandemic: A moderated model

INTRODUCTION AND AIMS

In the specialized nursing setting, nurses are susceptible to developing negative mental health issues. Such conditions among nurses can potentially result in unfavorable medical outcomes. Consequently, this study aims to explore the role of social support in regulating between sleep and mental health in nurses.

METHODS

A cross-sectional study was carried out in September 2022 on 1219 nurses in Quanzhou. The study comprised general demographic information and utilized various questionnaires, namely the Social Support Rate Scale (SSRS), Pittsburgh Sleep Quality Index Questionnaire (PSQI), Generalized Anxiety Disorder Questionnaire (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). The data analysis was performed using t-tests, ANOVAs, Pearsons correlations and hierarchical regression analyses in SPSS software.

RESULTS

Results show that significant associations of sleep quality and social support with anxiety and depression. Simple slope analysis shows that under low levels of social support, sleep quality has a positive impact on anxiety(β = 0.598) and depression(β = 0.851), and the impact is significant. Under high levels of social support, sleep quality also has a positive impact on anxiety(β = 0.462) and depression(β = 0.578), but the impact is smaller. This indicates that as the level of social support increases, the positive predictive effect of sleep quality on anxiety and depression gradually diminishes.

CONCLUSIONS

Social support has the potential to alter the impact of sleep quality on anxiety and depression. Therefore, healthcare policymakers need to focus on enhancing the level of social support and mitigating the impact of poor sleep on anxiety and depression.

Sleep quality of nurses who worked in coping with COVID-19: an integrative review

OBJECTIVE

to analyze sleep quality of nurses who worked coping with COVID-19 in scientific evidence.

METHODS

an integrative review, carried out in seven databases, including studies between December 2021 and June 2022, without language restrictions. The sample consisted of 15 primary studies.

RESULTS

nurses working in hospital, intensive care, outpatient care and teaching institutions constitute a vulnerable group for sleep disorders: latency, duration, efficiency and quality. The disorders identified involved insomnia at varying levels of severity: daytime dysfunction and morning sleepiness. Night work and low capacity for self-care were determinants of impaired sleep patterns.

FINAL CONSIDERATIONS

the COVID-19 pandemic contributed to greater vulnerability of nurses to changes in sleep, requiring strategies for risk management and well-being promotion.

Relationship between night shift and sleep problems, risk of metabolic abnormalities of nurses: a 2 years follow-up retrospective analysis in the National Nurse Health Study (NNHS)

BACKGROUND AND PURPOSE

Efforts to improve nurses' physical and mental health are critical to ensuring the safety and quality of the healthcare system. Long-term studies targeting the relevancy of nurses' occupation characteristics with health conditions remain insufficient. This study aimed to examine the relationship between nurses' night shift and sleep problems and metabolic abnormalities risk.

METHODS

This study was a part of the National Nurse Health Study, an ambispective cohort study in China, in 2021. Based on an integration physical examination data system, this study carried out a retrospective analysis of 730 nurses from 2018 to 2020 and combined with a questionnaire survey in 2021. The STROBE guidelines were adopted for reporting.

RESULTS

In the 23 (23.0, 24.0) months follow-up, higher night shift load was associated with more sleep problems such as shortened sleep duration, sleep disorders, poor sleep quality, and sleep deprivation. Moreover, night shift load was associated with chronic diseases risk factors, increasing body mass index and body fat, with more night shift density, increasing the occurrence of low levels of high-density lipoprotein cholesterol, high triglyceride, triglyceride/high-density lipoprotein cholesterol ratio, and serum uric acid.

CONCLUSION

The night shift load has become an occupational health concern, contributing to chronic diseases relevant metabolic risk factors and negative influence on sleep health. Focus on the strategies to improve the sleep quality of nurses undergoing night shift work, optimize work scheduling and ongoing monitor the relevant risk factors are essential to enhance the stability and well-being of the nursing workforce.

CLINICAL TRIALS REGISTRATION INFORMATION

NCT04572347, on October 1, 2020. https://www.

CLINICALTRIALS

gov/ct2/show/NCT04572347.

Effectiveness of Internet-delivered self-help acceptance and commitment therapy (iACT) on nurses' obsessive-compulsive symptoms and sleep quality: A randomized controlled trial with 3-month follow-up

BACKGROUND

Frontline nurses suffered unprecedented mental distress during the COVID-19 pandemic. It's essential to explore new and more accessible alternatives to improve the availability of psychological treatments. This study aimed to investigate the influence of online self-help iACT linear intervention and iACT loop intervention on sleep quality (SQ), obsessive-compulsive symptoms (OCS), and psychological flexibility (PF) in nurses.

METHODS

A randomized controlled trial was conducted at a hospital in China. 602 participants were randomly assigned to the iACT linear intervention, iACT loop intervention, or wait list control group, and required to complete the questionnaires of OCS, PF and SQ. The linear mixed effects analysis (LMM) was used to analyze the impact of the intervention on outcome variables.

RESULTS

LMM analyses demonstrated that both two intervention had significant improvement on OCS (t = -38.235, p < 0.001), PF (t = 28.156, p < 0.001), as well as SQ (t = -16.336, p < 0.001). There were significant differences between the linear group and loop group on the PF in T2 (t = -8.271, p < 0.001), T3 (t = -8.366, p < 0.001), T4 (t = -8.302, p < 0.001), with the iACT loop model (Cohen's d = 1.652) showing a slight advantage over the iACT linear model (Cohen's d = 1.134).

CONCLUSIONS

The findings indicate that two interventions positively impact OCS, PF, and SQ. Compared to the iACT linear psychotherapy model, the iACT loop model shows greater effectiveness in enhancing PF, making it helpful to promote significant improvements in psychotherapy planning.

Mental Illnesses and Quality of Sleep Among Nurses Working at a Tertiary Hospital in Riyadh During the COVID-19 Pandemic

Objectives This study primarily aimed to estimate the prevalence of mental illnesses (depression, anxiety, and stress) along with the poor quality of sleep, with a secondary focus on determining whether there was an association between mental health and quality of sleep among nurses working at King Khalid University Hospital, Riyadh, Saudi Arabia, during the COVID-19 pandemic. Methods A cross-sectional study was conducted from June to December 2021 during the COVID-19 pandemic on 309 nurses from different departments at King Khalid University Hospital. Depression, anxiety, and stress were measured by the Depression, Anxiety, and Stress Scale - 21 Items (DASS-21), and sleep quality was measured by the Pittsburg Sleep Quality Index (PSQI) via an online survey. Results The prevalence of depression, anxiety, and stress was 30.4%, 43.7%, and 16.5%, respectively, while 61.5% showed poor sleep quality. The association between poor quality of sleep and the other outcome variables of mental health (depression, anxiety, and stress) was highly significant (p<0.0001). Conclusion Nurses have reported an increased prevalence of depression, anxiety, stress, and poor quality of sleep during the COVID-19 pandemic, making them particularly vulnerable to mental illnesses and sleep difficulties in the event of future pandemics. There is a clear link between mental health issues and poor quality of sleep, necessitating the provision of psychological support for nurses. Enhancing sleep quality is recommended as a way to decrease the prevalence of mental health concerns.

Depression, Anxiety, Energy, and Fatigue Among Nurses Who Cared for Patients During the COVID-19 Pandemic: A Cross-Sectional Study

Purpose of Study: Nurses around the world have faced challenges during the coronavirus disease 2019 (COVID-19) pandemic. This study examined the association between depression and anxiety and trait energy and trait fatigue, and baseline health status and work characteristics. Design of Study: A cross-sectional study. Methods: A survey was conducted to collect self-reported data from nurses involved in patient care in Northern Virginia. Depression and anxiety were assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) depression and anxiety scales. To measure trait energy and trait fatigue, the Mental and Physical State and Trait Energy and Fatigue Scale (MPSTEFS) was used. Findings: There was a significant association between depression and energy (b=-0.46, t = -1.78, p < .001) and loneliness (b=1.38, t = 4.00, p < .001) and increased alcohol use (b=2.11, t = 2.04, p = .045). We also found that nurses with depression were significantly more likely to seek mental health counseling (b=-2.91, t = 2.54, p = 0.013), which was also the case for anxiety (b=3.13, t = 2.14, p = .036). Conclusions: Our study highlights the mental health burden among nurses who worked in the early phase of the COVID-19 pandemic and its association with increased alcohol use and loneliness. The findings may help healthcare leaders identify early signals of deterioration in nurses' well-being.

Factors influencing nurses self-efficacy two years after the COVID-19 outbreak: A cross-sectional study in Wuhan, China

This study explored the anxiety, depression, and self-efficacy of nurses in Wuhan, China 2 years after the corona virus disease 2019 outbreak. A total of 552 nurses were enrolled in the study. Four well-established test tools were applied: The 9-item patient health questionnaire, The 7-item generalized anxiety disorder, generalized self-efficacy scale, Connor Davidson resilience scale. Twenty-eight points twenty-six percentage of the nurses had mild depression, and 5.62% had moderate or severe depression. Twenty-one points seventy-four percentage of nurses had mild anxiety and 1.82% had moderate or severe anxiety. The average score of self-efficacies is negatively correlated with the average score of the 9-item patient health questionnaire (r = -0.303, P < .01), and the7-item generalized anxiety disorder (r = -0.275, P < .01). The average score of self-efficacies is correlated with the resilience score (R = 0.799, P < .01). Through multiple linear regression analysis, the tenacity dimension and monthly income are most closely related to the sense of self-efficacy. Nurses self-efficacy and resilience are important factors in promoting their psychological well-being. This study suggests that increasing the salary and providing some strategies to increase nurses mental tenacity can promote self-efficacy.

Loneliness, depression and sleep quality among the type 2 diabetic patients during COVID-19 local epidemic: A mediation analysis

AIMS

To investigate loneliness, depression and sleep quality in patients with Type 2 Diabetes (T2DM) and to examine the mediating role of depression between loneliness and sleep quality among this group of patients with T2DM.

DESIGN

A cross-sectional study.

METHODS

A group of T2DM patients was recruited from a tertiary hospital affiliated with a university in Wuhu City, Anhui Province from May to October 2021 by convenient sampling. Pearson correlation analysis and structural equation modelling were used for data analysis in this study.

RESULTS

The direct effect of loneliness on sleep quality was not statistically significant, but the indirect effect of depression on sleep quality was statistically significant. Depression mediated the relationship between loneliness and sleep quality. Depression can affect emotional health and reduce sleep quality. We should reduce the loneliness of patients, prevent the occurrence of depression and improve the quality of sleep.

Impact of workplace violence against psychological health among nurse staff from Yunnan-Myanmar Chinese border region: propensity score matching analysis

BACKGROUND

Owing to different social background factor in Yunnan-Myanmar Chinese border region, stressful working environment may lead to extra psychological burden among nurse staff in China. However, the prevalence of workplace violence and its effect on psychological characteristics among nurse staff are still unclear. This study aims to explore the effect of workplace violence against psychological health among nurse staff from Yunnan-Myanmar Chinese border region.

METHODS

A cross-sectional survey was conducted among 18 local governmental hospitals in Dehong districts. Participants were 1,774 nurses. Psychosocial characteristics were screened by sleep quality, the 9-item Patient Health Questionnaire for depressive symptoms, the generalized anxiety disorder-7 for anxiety symptoms, the Connor Davidson Resilience Scale - 10 item for resilience, the multidimensional scale of perceived social support for social support, the Chinese version of Work place Violence Scale for workplace violence. Propensity score matching and multivariate linear regression were applied to analyze the data.

RESULTS

The nurse staff with workplace violence have a higher risk of bad sleep quality (b = -0.883, 95%CI = [-1.171, -0.595]), anxiety symptoms (b = 2.531, 95%CI = [2.031, 3.031]) and depressive symptoms (b = 3.227, 95%CI = [2.635, 3.819]), loneliness (b = 0.683, 95%CI = [0.503, 0.863]), perceived cognitive deficits (b = 1.629, 95%CI = [1.131, 2.127]), poor resilience (b = -2.012, 95%CI = [-2.963, -1.061]), and poor social support (b = -5.659, 95%CI = [-7.307, -4.011]).

CONCLUSIONS

Preventing workplace violence can improve mental health outcomes significantly among nurse staff, including loneliness, perceived cognitive deficits, anxiety symptoms, depressive symptoms, sleep quality, resilience and social support.

An observatory on changes in dreaming during a pandemic: a living systematic review (part 1)

A 'new' way of dreaming has emerged during the pandemic, enhancing the interest of psychological literature. Indeed, during the years of the spread of coronavirus disease 2019 (COVID-19), many studies have investigated dream-related phenomena and dreaming functions. Considering the constant and rapid emergence of new results on this topic, the main aim of this study was to create an 'observatory' on the short- and long-term consequences of the COVID-19 pandemic on dreaming, by means of a living systematic review. The baseline results are presented, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement guidelines, to identify and discuss existing studies about dreams and dreaming during the COVID-19 pandemic published until February 2022. Web of Science, Embase, EBSCO, and PubMed were used for the search strategy, yielding 71 eligible papers included in the review. Our results show: (a) a more intense oneiric activity during lockdown; (b) changes in dreaming components (especially dream-recall and nightmare frequency); (c) a particular dreaming scenario ('pandemic dreams'); (d) an alteration of the dreaming-waking-life continuum and a specific function of dreaming as emotional regulator. Findings suggest that monitoring changes in dreaming provides important information about psychological health and could also contribute to the debate on the difficulties of dreaming, as well as sleeping, in particular during and after a period of 'collective trauma'.

Mental health of nursing professionals: Internet-based interventions

This study aimed to analyze published evidence about how the Internet is used in mental health interventions for nurses. This integrative literature review searched MEDLINE (PubMed), Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Base de Dados em Enfermagem (BDENF), and the Web of Science. Data was collected in July 2020. Six articles addressed the research question - "What Internet-based mental health interventions exist for nurses?" -, of which five were randomized clinical trials (2 protocols and 3 completed trials) and 1 was a cohort study. Identified intervention programs consisted of 4 interactive webpages and 2 smartphone apps, based on cognitive behavioral and holistic approaches. The intervention programs were effective in reducing stress, anxiety, and depression among nurses; however, there was a lack of scientific evidence on the subject and a research gap regarding other approaches.

Sleep Quality, Insomnia, and Perceived Stress among Colombian Healthcare Workers during the COVID-19 Pandemic

Objective  The COVID-19 pandemic has imposed a great burden on healthcare workers worldwide. The aim of the present study was to assess sleep quality, insomnia, and perceived stress in healthcare workers of a high complexity hospital located in Bogota, Colombia. Methods  Cross-sectional study in which 1,155 healthcare workers at the Hospital Universitario San Ignacio in Bogotá, Colombia were included, between September and October 2020. Using an online-based survey, self-reported variables were assessed including demographics, Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and 10 item Perceived Stress Scale (PSS-10). Associations between these variables were evaluated. Results  Fifty percent of the respondents were between 31 and 45 years old, and 76 percent were women. Most of the surveyed were the nursing staff. Poor sleep quality, insomnia, and high perceived stress was found in 74.9, 12.4, and 13.2%, respectively. Poor sleep quality was predominantly found in females, in the 31 to 45 years old group and in married personnel. Also, poor sleep quality was found in relation to a moderate to high perceived risk of COVID-19 infection by the family of the workers surveyed. Discussion  Poor sleep quality, moderate rates of insomnia, and perceived stress were found among healthcare workers committed to COVID-19 infected patients in Colombia. The identification of workers at greater risk and the implementation of targeted interventions are called upon as the results.

The relationships among perceived stress, resilience, sleep quality and first-month retention of newly employed nurses: A cross-sectional survey

AIM

Newly employed nurses are subject to high workplace stress, which leads to a low retention rate. Resilience can reduce burnout among nurses. The aim of this study was to explore the relationships among perceived stress, resilience, sleep quality of new nurses during initial employment, and their impacts on first-month retention.

DESIGN

This is a cross-sectional study design.

METHODS

We used a convenience sampling method to recruit 171 new nurses between January and September 2021. The Perceived Stress Scale, Resilience Scale, and Pittsburgh Sleep Quality Inventory (PSQI) were conducted in the study. Logistic regression analysis was used to explore the impacts on first-month retention for newly employed nurses.

RESULTS

The initial perceived stress, resilience, and sleep quality of the newly employed nurses were not correlated with the first-month retention rate. Forty-four per cent of the newly recruited nurses had sleep disorders. Resilience, sleep quality, and perceived stress of newly employed nurses were significantly correlated. Newly employed nurses assigned to their desired wards had lower perceived stress than their peers.

Levels of Anxiety and Stress Experienced by Nurses in Inpatient Units

Objective: To assess state-trait anxiety levels and their correlation with occupational stress and socio-biographical and occupational factors in nursing professionals. Materials and Methods: This quantitative, cross-sectional, analytical study was conducted in the inpatient units of a university hospital in southern Brazil, with the participation of 162 nursing professionals. For data collection, socio-biographical and occupational forms, the Stress-Symptom Scale, the Workplace Stress Scale, and the State-Trait Anxiety Inventory were used. The data were analyzed based on descriptive and inferential statistics. Results: Nursing professionals have moderate levels of state-trait anxiety. There is a positive correlation between state-trait anxiety scores, stress scores, and stress dimensions (rho = 0.811, p < 0.001). “Trait” anxiety is associated with years of experience in nursing (PR 0.97) and psychic-mental health follow-up (PR 1.97). “State” anxiety is associated with sex (PR 0.54), education (PR 2.26), and hours of sleep (PR 0.92). Conclusions: “State” anxiety is associated with sex, age, higher education level, and psychic-mental health follow-up; however, years of experience in nursing and hours of sleep were found to be protective factors.

Prevalence of Suicide Ideation and Attempt during COVID-19 Pandemic: A Systematic Review and Meta-Analysis

An epidemic of infectious diseases such as COVID-19 can affect mental health, which may be associated with suicidal behaviors. This study was conducted based on the systematic review and meta-analysis methods for evaluating the prevalence of suicide ideation during COVID-19. This study used Preferred Systematic Review Reporting System and Meta- Analysis guideline and valid keywords. The articles related to the prevalence of suicide ideation during COVID-19 pandemic were obtained by searching among different databases including Scopus, Web of science, PubMed, ISC, Google scholar, SID, and Magiran. All of the articles published from the beginning of January 2020 to the end of May 2021 were reviewed. Among 478 articles screened, 377 articles were related to the studied topic, among which 38 articles were selected after assessing the title and abstract of which for reviewing the full text and finally 18 studies were included in the meta-analysis. Based on the results, the prevalence of suicide ideation and attempt among all studies were equal to 13% (95% confidence interval = 0.11-0.15, I2 = 99.7%, P = 0.00) and 1% (95% confidence interval = 0.00-0.01, I2 = 95.5%, P = 0.00), respectively. Based on the results, the prevalence of suicide attempt and ideation is possible during the COVID-19 pandemic. Therefore, health officials should pay attention to mental health issues in addition to the protective measures for preventing or reducing the infection with COVID-19. The increase of psychological consequences is probably related to the effect of lifestyle changes which associates with the spread of the disease. In the current meta-analysis performed, the prevalence of suicidal ideation and suicidal attempt was examined during the COVID-19 pandemic period and compared to the previous period without COVID-19. The effect of COVID-19 on suicidal ideation and suicidal attempt has never been studied.

The relationship between the emergency nurses' sleep quality and the sleep quality of their spouses: A cross-sectional descriptive-analytical study

Background and Aims

Due to the heavy working shifts, emergency nurses may have to sleep at unusual times of the day, affecting their spouse's sleep. This study proposed to detect the relationship between the woman emergency nurse's sleep quality and the sleep quality of their spouses.

Methods

This cross-sectional descriptive-analytical study has lasted for 4 months since June 21, 2020. The study population was all women nurses working at a hospital emergency department. The data was collected by a demographic questionnaire and Pittsburgh sleep quality index (PSQI) for nurses and their spouses. The data were analyzed by descriptive and inferential statistics.

Results

The prevalence of sleep quality disorder among female emergency department nurses and their husbands was 82.7% and 80.6%, respectively. The mean sleep quality score of female nurses and their husbands was 8.46 ± 4.43 and 6.50 ± 2.52, respectively. A strong and positive correlation was found between the PSQI score of female nurses and their husbands (p < 0.001). The regression model showed that increasing the body mass index (BMI) of female emergency nurses can decrease their sleep quality. However, increasing the BMI of female emergency nurses' spouses and their work experience in the emergency department can improve their sleep quality.

Conclusion

The sleep quality of female emergency department nurses was directly correlated with their husbands' sleep quality. Therefore, the sleep quality of nurses working in the emergency departments and their spouses should be examined periodically.

Factors associated with sleep quality among nurse managers during regular prevention and control of the COVID-19 in China: a cross-sectional study

BACKGROUND

Nurse managers play a pivotal role in quality patient care and staff satisfaction and retention. An overwhelming amount of work tasks and responsibilities might result in their sleep problems which are expected to aggravate in the context of the COVID-19, thereby affecting their overall health and work quality. However, little attention has been paid to sleep quality among nurse managers. This study aimed to investigate the prevalence of sleep disorders among nurse managers and identify related factors of sleep quality during regular prevention and control of the COVID-19 pandemic in China.

METHODS

This cross-sectional online survey was conducted in 14 hospitals on a sample of 327 nurse managers in China. Participants were invited to complete the general demographic questionnaire, Pittsburgh Sleep Quality Index (PSQI) and Simplified Coping Style Questionnaire (SCSQ). Multiple linear regression analysis was used to explore the influencing factors of sleep quality among nurse managers.

RESULTS

In this study, 43.7% of nurse managers suffered from sleep disorders. Active coping style and frequent exercise were positive factors that could influence nurse managers' sleep quality, while passive coping style and age over 41 years old were negative predictors, collectively accounting for 52.0% of the variance of sleep quality.

CONCLUSIONS

The issue of sleep disorders among nurse managers during regular epidemic prevention and control period is underscored. Coping style and demographic factors including age and frequency of exercise can significantly affect nurse managers' sleep quality. Healthcare administrators should pay more attention to nurse managers' sleep disorders and implement targeted strategies based on influencing factors to ensure their sleep quality.

Sleep disturbances in nurse managers during the early and late stages of the COVID-19 pandemic

Introduction

Working conditions during the COVID-19 pandemic have affected health professionals' quality of sleep. To date, most of the studies that assess the impact of the COVID-19 pandemic on sleep have been carried out with front-line health personnel, and almost none of them have been carried out with managers.

Objective

To evaluate the quality of sleep and the level of stress in nurse managers during the early and late stages of the COVID-19 pandemic.

Methods

Cross-sectional studies were carried out at two time points: after the lockdown period (July 2020) and a year and a half after the start of the pandemic (October 2021). A total of 102 nurse managers of a tertiary hospital were invited to participate. The Perceived Stress Scale (PSS-14) and Pittsburgh Sleep Quality Index (PSQI) were administered to assess stress levels and sleep quality.

Results

The response rate was 85.2% in 2020 and 81.3% in 2021. Nursing managers showed alterations in sleep quality throughout the pandemic: 70.1% after confinement and 61.4% at the beginning of the second wave. In addition to stress, the fear of contagion by COVID-19 influenced sleep problems. More than a year after the start of the pandemic, the professionals' fear of contagion decreased. Perceived stress also decreased, but sleep disturbances remained.

Conclusion

High stress and poor sleep quality among nurse managers require special attention, and specific interventions need to be implemented. Hospitals should develop programs that help nurse managers develop skills to mitigate stress levels and thus improve sleep quality and professional quality of life.

Night shifts, insomnia, anxiety, and depression among Chinese nurses during the COVID-19 pandemic remission period: A network approach

Background

The outbreak of the COVID-19 pandemic imposed a heavy workload on nurses with more frequent night shifts, which led to higher levels of insomnia, depression, and anxiety among nurses. The study aimed to describe the symptom-symptom interaction of depression, anxiety, and insomnia among nurses and to evaluate the impact of night shifts on mental distress via a network model.

Methods

We recruited 4,188 nurses from six hospitals in December 2020. We used the Insomnia Severity Index, Patient Health Questionnaire-9, and Generalized Anxiety Disorder Scale-7 to assess insomnia, depression, and anxiety, respectively. We used the gaussian graphical model to estimate the network. Index expected influence and bridge expected influence was adapted to identify the central and bridge symptoms within the network. We assessed the impact of night shifts on mental distress and compared the network structure based on COVID-19 frontline experience.

Results

The prevalence of depression, anxiety, and insomnia was 59, 46, and 55%, respectively. Nurses with night shifts were at a higher risk for the three mental disorders. "Sleep maintenance" was the central symptom. "Fatigue," "Motor," "Restlessness," and "Feeling afraid" were bridge symptoms. Night shifts were strongly associated with sleep onset trouble. COVID-19 frontline experience did not affect the network structure.

Conclusion

"Sleep maintenance," "Fatigue," "Motor," and "Restlessness" were important in maintaining the symptom network of anxiety, depression, and insomnia in nurses. Further interventions should prioritize these symptoms.

Subjective sleep alterations in healthy subjects worldwide during COVID-19 pandemic: A systematic review, meta-analysis and meta-regression

OBJECTIVE

We conducted a systematic review and meta-analysis to provide an update on sleep quality in different world areas and better characterize subjective sleep alterations during the COVID-19 pandemic. Considering gender distribution and specific pandemic-related parameters, we also intend to identify significant predictors of sleep problems.

METHODS

Six electronic databases were searched from December 2019 to November 2021 for studies investigating sleep during COVID-19 employing the Pittsburgh Sleep Quality Index, the Medical Outcomes Study Sleep, the Insomnia Severity Index or the Epworth Sleepiness Scale. Random-effects models were implemented to estimate the pooled raw means of subjective sleep alterations. Also, we considered the role of several pandemic-related parameters (i.e., days from the first COVID-19 case, government stringency index, new cases for a million people, new deaths for a million people) by means of meta-regression analyses.

RESULTS

A total of 139 studies were selected. The pooled mean of the global Pittsburgh Sleep Quality Index score (PSQIgen) was 6.73 (95% CI, 6.61-6.85). The insomnia severity index score was reported from 50 studies with a pooled mean of 8.44 (95% CI, 7.53-9.26). Subgroup analyses confirmed that most subcategories had poor sleep quality and subclinical insomnia. Meta-regressions showed that PSQIgen was predicted by days from the first COVID-19 case and government restrictions with a negative slope and by female gender with a positive slope. The government stringency index was positively correlated with the direct subjective evaluation of sleep quality.

CONCLUSIONS

We found an overall impaired sleep and widespread subthreshold insomnia during the COVID-19 pandemic. The female percentage seems to be the best predictor of impaired sleep quality, consistently to the available literature. Noteworthy, sleep alterations were inversely associated with governmental restrictions and decreased during the pandemic. Our results give a contribution to critically orienting further studies on sleep since COVID-19 pandemic.

Anxiety and sleep quality among front-line nurses treating first wave COVID-19 in China: The mediating role of mindfulness

AIM

To explore anxiety, sleep quality, and mindfulness of frontline nurses at the initial epicenter of the pandemic, to examine the mediating effects of mindfulness.

BACKGROUND

COVID-19 was first identified in Wuhan, China in January 2020. Nurses were at the forefront of care and treatment across hospitals in response to the pandemic.

METHODS

Single site cross-sectional survey conducted in Wuhan province (China) between March and April in 2020. Quantitative analysis of survey data from N118 nurses working in the frontline COVID response. Questionnaires included: The general information questionnaire, the Self-Anxiety Scale, the Short Inventory of Mindfulness, and the Pittsburgh Sleep Quality Index.

RESULTS

Front-line nurses' anxiety was positively associated with sleep quality and mindfulness was negatively associated with anxiety and sleep quality. Mindfulness had a mediating role on anxiety and sleep quality, with intermediary adjustment effects (ES = 0.136, 95 % CI 0.02 to 0.26), accounting for 21.9 % of the total effect ratio.

CONCLUSIONS

Anxiety causes a reduction in sleep quality and mindfulness can help with anxiety. Mindfulness strategies may help during periods of higher anxiety in the workplace; however, other factors must be considered. Further research is required on strategies for assisting nurses during periods of extreme anxiety.

R, Uy MM, Alrashidi N, Alreshidi MS, Mina E, Gonzales A. Resilience and Emotional Intelligence of Staff Nurses during the COVID-19 Pandemic

Although numerous scholars have studied resilience during the COVID-19 pandemic, research exploring its relationship with emotional intelligence is scarce. The aim of this study was to determine the relationship between the resilience and emotional intelligence (EI) of staff nurses during the COVID-19 pandemic. Data for this quantitative correlational study were gathered from the staff nurses of hospitals in the city of Hail, Saudi Arabia. The researchers employed simple random sampling, which yielded 261 staff nurses. Nationality (t = 6.422; p < 0.001) was found to have a significant relationship with resilience. Sex (t = 5.22; p < 0.001), ward assignment (t = 5.22; p < 0.001), age (F = 6.67; p < 0.001), and years of experience (F = 6.67; p < 0.001) revealed significant relationships with emotional intelligence. Resilience had a moderate positive relationship with EI (r = 0.55; p < 0.023), a weak positive relationship with self-emotion (r = 0.21; p < 0.003), and a very strong relationship with emotional appraisal (r = 0.85; p < 0.001). Improving emotional-intelligence skills is critical for assisting nurses during pandemic outbreaks. This can increase their individual and social resilience, while also improving their professional and life outcomes. These research findings suggest that emotional intelligence should be integrated into clinical practice and that EI data should be integrated into decision-making.

Perceived professional benefits and associated factors among nurses during the COVID-19 pandemic: A cross-sectional study

AIMS

To examine the perceived professional benefits (PPB) and associated factors among nurses during the coronavirus disease 2019 (COVID-19) pandemic in China.

DESIGN

Cross-sectional study.

METHODS

Using the snowball sampling method, 492 nurses (478 females, 14 males) were recruited. Data were collected using an online survey, including participants' socio-demographic and working characteristics, psychological distress related to the COVID-19 pandemic, dealing with professional frustration, professional self-reflection and PPB from 1-30 April 2020.

RESULTS

Nurses experienced high levels of PPB. In linear regression analysis, self-perceived concerns about COVID-19, emotional shock caused by it, risk perception towards their occupations, dealing with professional frustration and professional self-reflection were positively associated with PPB among nurses. These factors explained 84% variance in PPB.

CONCLUSIONS

This study highlighted that although the nurses experienced psychological distress, they gained high PPB during the COVID-19 pandemic. Additionally, to facilitate nurses' efforts to achieve professional growth, more educational resources and opportunities for engaging in reflective practices could be provided.

Prevalence Of Sleep Disorders Among Physicians And Nurses During COVID-19 Pandemic

The objective of our review was to analyze studies of prevalence sleep disorders among medical workers during COVID-19 pandemic. Material and Methods — Overall, during the analyzed period, studying domestic and foreign databases, we identified 94 publications on the development of sleep disorders among medical personnel working during COVID–19 pandemic in 2000-2021. However, only 88 of these publications complied with the objective of the review. We included 75 full-text publications in this review. Results — Physicians and nurses during COVID-19 pandemic do not have the opportunity to take therapy aimed at combating the symptoms of sleep disorders, due to the need to maintain sufficient attention and the risk of developing excessive drowsiness while on duty in a COVID -19 hospital. The latter can have a negative impact on their professional activities. Thus, this problem certainly requires professional psychotherapeutic correction. Unfortunately, not all medical institutions have such specialists. Conclusion — Based on the literature review, we found out that health care workers have a high risk of developing sleep disorders. This can include violations of the circadian rhythm, a decrease in the quality and duration of night sleep, daytime hypersomnia caused by shift work in a hospital. An additional factor affecting the frequency and severity of sleep disorders in healthcare workers (physicians and nurses) is chronic stress, the importance of which has increased during the COVID-19 pandemic. Currently, the above problem has not been completely solved and requires research in this area and the development of new programs to help medical personnel.

Meta-analysis of the prevalence of anxiety and depression among frontline healthcare workers during the COVID-19 pandemic

Objective

To systematically review the prevalence of anxiety and depression among frontline healthcare workers during the coronavirus disease 2019 (COVID-19) pandemic.

Methods

Computers were used to search CNKI, VIP, WanFang Data, PubMed, and other Chinese and English databases. The search period was limited to December 2019 to April 2022. Cross-sectional studies collected data on the prevalence of anxiety and depression among frontline healthcare workers since the onset of COVID-19. The STATA 15.1 software was used for the meta-analysis of the included literature.

Results

A total of 30 studies were included, with a sample size of 18,382 people. The meta-analysis results showed that during the COVID-19 pandemic, the total prevalence of anxiety among frontline healthcare workers was 43.00%, with a 95% confidence interval (CI) of 0.36-0.50, and the total prevalence of depression was 45.00%, with a 95% CI of 0.37-0.52. The results of the subgroup analysis showed that prevalence of anxiety and depression in women, married individuals, those with children, and nurses was relatively high. Frontline healthcare workers with a bachelor's degree or lower had a higher prevalence of anxiety. The prevalence of depression was higher among frontline healthcare workers with intermediate or higher professional titles.

Conclusion

During the COVID-19 pandemic, the prevalence of anxiety and depression among frontline healthcare workers was high. In the context of public health emergencies, the mental health status of frontline healthcare workers should be given full attention, screening should be actively carried out, and targeted measures should be taken to reduce the risk of COVID-19 infection among frontline healthcare workers.

Systematic review registration

http://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022344706.

Influencing factors of fatigue among public health nurses during the COVID-19 pandemic: A cross-sectional study

OBJECTIVE

This study investigated the effects of occupational stress, anxiety, depression, and sleep disturbance on the level of fatigue among public health nurses (PHNs).

DESIGN

The study had a cross-sectional, correlational survey design.

MEASURES

A total of 198 PHNs were enrolled from 30 public healthcare centers/offices. Data were collected between May and July 2021 using a structured questionnaire to investigate the general characteristics, occupational stress, anxiety, depression, sleep disturbance, and fatigue of the participants. Descriptive statistics and multiple regressions were used to determine fatigue and its influencing factors among PHNs.

RESULTS

The participants showed high fatigue and occupational stress levels due to a lack of rewards. The percentage of participants with mild-to-severe anxiety and mild-to-severe depression, and those who identified themselves as poor sleepers were 44.9%, 50.5%, and 70.2%, respectively. High levels of sleep disturbance (β = .23, p < .001), occupational stress (β = .21, p < .001), anxiety (β = .20, p = .016), depression (β = .17, p = .043), being younger (β = -.15, p = .004), and being a regular worker (β = .13, p = .017) were influencing factors of fatigue.

CONCLUSIONS

Individual efforts and organizational interventions to enhance sleep quality are needed to relieve fatigue among PHNs. Further, organizational support can be considerate of young nurses and regular workers, and alleviate their occupational stress. Moreover, anxiety and depression should be managed efficiently to reduce fatigue.

Work-Related Traumatic Stress Response in Nurses Employed in COVID-19 Settings

Nurses may be at a higher risk of experiencing work-related traumatic stress response during the COVID-19 pandemic compared to other clinicians. This study aimed to investigate the correlations between work-related trauma symptoms and demographic factors, psychosocial hazards and stress response in a census sample of nurses working in COVID-19 settings in Cyprus. In this nationwide descriptive and cross-sectional study, data were collected between April and May 2020 using a questionnaire that included sociodemographic, educational and employment and work-related variables, as well as a modified version of the Secondary Traumatic Stress Scale (STSS) for the assessment of work-related trauma symptoms during the pandemic. Overall, 233 nurses participated (with a response rate of 61.3%) and 25.7% of them reported clinical work-related trauma symptoms (STSS-M > 55; actual scale range: 17-85). The mean value for emotional exhaustion was 7.3 (SD: 2.29; visual scale range: 1-10), while the value for distress that was caused by being avoided due to work in COVID-19 units was 6.98 (SD: 2.69; visual scale range: 1-10). Positive associations were noted between trauma symptoms and both emotional exhaustion and distress from being avoided by others due to work in a COVID-19 setting and a negative association was also found between trauma symptoms and satisfaction from organizational support variables (all p < 0.002). Working in COVID-19 settings during the pandemic is a stressful experience that has been linked to psychologically traumatic symptoms Thus, supportive measures are proposed for healthcare personnel, even in countries with low COVID-19 burden.

Health care workers' mental health in the face of COVID-19: a systematic review and meta-analysis

BACKGROUND

Healthcare workers are leading the way in treating patients with coronavirus disease 2019 (COVID-19). Due to the high levels of psychological stress, this group is more likely to experience psychological issues. These psychological problems in healthcare providers include depression, anxiety, insomnia, stress and post-traumatic stress disorder (PTSD). The goal of this systematic review and meta-analysis was to find out how common these problems were in the face of COVID-19.

METHODS

On 20 February 2022, systematic searches were conducted in the PubMed, Cochrane Library, Scopus, EMBASE, Science Direct, Web of Science and ProQuest databases. Two authors selected articles based on search keywords. As a last step, articles about the prevalence of psychological problems among healthcare workers in the face of COVID-19 were looked at and analysed for five different outcomes.

RESULTS

The initial search yielded 18,609 articles. After reviewing the titles, abstracts and full texts of the articles, 44 were chosen for the final analysis and 29 were subjected to a meta-analysis. Insomnia, anxiety, depression, PTSD and stress are among the psychological issues faced by healthcare workers. Furthermore, the highest pooled prevalence of depression, anxiety, insomnia, PTSD and stress was 36% (95% confidence interval (CI) 24-50%), 47% (95% CI 22-74%), 49% (95% CI 28-70%), 37% (95% CI 19-59%) and 27% (95% CI 6-69%).

CONCLUSIONS

In this meta-analysis, insomnia was found to be the most common mental health problem, followed by anxiety, PTSD, depression and stress in healthcare workers in the face of the COVID-19 pandemic. Generally, the pooled prevalence of these mental health problems was higher among physicians, nurses and older staff in the subgroup analysis. As a result, health policymakers and managers of the health care system should think about effective interventions to promote mental health, paying particular attention to these two groups.Key pointsStudies conducted in China reported more mental problems than in other countries.Health policymakers and health system managers should hold training programs to promote healthcare workers' mental health with a particular focus on more vulnerable groups.The prevalence of PTSD, stress, anxiety, depression and insomnia were higher among physicians, nurses and older staff.Health systems at both national and local levels have to take older physicians, nurses and healthcare providers into consideration while designing interventions.

Sleep of Healthcare Workers During the COVID-19 Pandemic and the Role of Atypical Work Schedules: A Scoping Review

The COVID-19 pandemic has negatively impacted the well-being of healthcare workers (HCWs). HCWs are highly exposed to shift work and their work schedules have been subject to increasing unpredictability since the start of the pandemic. This review aims to: (1) map the studies providing information about factors associated with sleep characteristics in HCWs working in the context of the COVID-19 pandemic during the first and second waves and (2) examine the state of the evidence base in terms of the availability of information on the influence of atypical work schedules. A literature search was performed in PubMed. Studies containing information about factors (demographic; psychological; occupational; COVID-19-specific; work schedule; lifestyle; medical; or other) associated with various sleep characteristics among HCWs working in the context of the COVID-19 pandemic were included. Particular attention was paid to the availability of information on the role of atypical work schedules on HCW sleep. Fifty-seven articles met the inclusion criteria. Most studies were reports of quantitative cross-sectional surveys using self-report measures. Associations between female sex, frontline HCW status, psychological factors, and poorer sleep were observed. Six studies included a measure of shift work in their analyses, 5 of which reported an association between shift work status and sleep. A wide range of factors were investigated, with female sex, frontline HCW status, and psychological factors repeatedly demonstrating associations with poorer sleep. Sleep was predominantly measured in terms of self-reported sleep quality or insomnia symptoms. Few studies investigated the influence of atypical work schedules on HCW sleep in the context of the COVID-19 pandemic. Research on this topic is lacking in terms of reliable and consistent measurements of sleep outcomes, longitudinal data, and knowledge about the influence of covariates such atypical work schedules, comorbidity, and medical history on HCW sleep.

Mental health and conspirasism in health care professionals during the spring 2020 COVID-19 lockdown in Greece

INTRODUCTION

The aim of the study was to investigate mental health and conspiracy theory beliefs concerning COVID-19 among health care professionals (HCPs).

MATERIAL AND METHODS

During lockdown, an online questionnaire gathered data from 507 HCPs (432 females aged 33.86 ± 8.63 and 75 males aged 39.09 ± 9.54).

STATISTICAL ANALYSIS

A post-stratification method to transform the study sample was used; descriptive statistics were calculated.

RESULTS

Anxiety and probable depression were increased 1.5-2-fold and were higher in females and nurses. Previous history of depression was the main risk factor. The rates of believing in conspiracy theories concerning the COVID-19 were alarming with the majority of individuals (especially females) following some theory to at least some extend.

CONCLUSIONS

The current paper reports high rates of depression, distress and suicidal thoughts in the HCPs during the lockdown, with a high prevalence of beliefs in conspiracy theories. Female gender and previous history of depression acted as risk factors, while the belief in conspiracy theories might act as a protective factor. The results should be considered with caution due to the nature of the data (online survey on a self-selected but stratified sample).

The impact of COVID-19 pandemic on sleep quality in healthcare workers in Turkey

Background

The COVID-19 pandemic has caused serious concerns and psychological distress globally. Healthcare workers remain one of the most affected groups due to life threatening risks in addition to increased working hours and labor intensity. All these factors may affect sleep quality of this population. The aim of this study is to evaluate the sleep behaviors of healthcare professionals working in secondary and tertiary hospitals in a large population in Turkey and to show how sleep quality is affected during the pandemic process using the easily applicable Jenkins Sleep Scale (JSS). The population of this cross-sectional descriptive study consists of two pandemic hospitals determined in Kahramanmaraş province. In our questionnaire, we asked subjective sleep quality, sleep time, time to fall asleep, total sleep time, and medication use. We also used JSS Turkish version (JSS-TR) to assess sleep quality and the Epworth Sleepiness Scale (ESS) for increased daytime sleepiness.

Results

Healthcare workers who participated in our survey reported that they started to go to bed later, fell asleep later (mean: 41.75 ± 35.35 min), their total sleep time (mean: 6.67 ± 1.88 h) was shortened, and they needed medication to sleep more (5.7%) after the COVID-19 pandemic. During the COVID-19 pandemic, bedtime behavior after 24:00 decreased from 80.1 to 43.9% of those who previously went to bed before 24:00. For those who went to bed after 24:00 before, it increased from 19.9 to 56.1%. In addition, sleep quality as assessed by subjective and JSS significantly deteriorated after the COVID-19 pandemic. Excessive daytime sleepiness increased. Those with ESS > 10 before and after COVID-19 were 3.9% and 14.1%, respectively (p < 0.001).

Conclusions

The COVID-19 pandemic has significantly adversely affected the sleep behavior and sleep quality of healthcare professionals. The JSS is an easily applicable scale for assessing sleep quality in large population studies.

Sleep quality among parents and their children during COVID-19 pandemic

OBJECTIVE

To evaluate sleep characteristics of parents and their children during the COVID-19 pandemic and predictors for sleep disturbances.

METHODS

Cross-sectional web-based study using an online survey made available for dyads of parents and their children during the 7th week of quarantine in southern Brazil. Parents' and adolescents' sleep were characterized using the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale. For children aged 0-3 years parents completed the Brief Infant Sleep Questionnaire, for those aged 4-12 years the Sleep Disturbance Scale for Children. Parents also informed, subjectively, their perception about sleep habits during social distancing. Multiple regression was run to predict sleep disturbances in adults using independent variables: sex, income, education, children age, and children with sleep disturbances.

RESULTS

Data from 577 dyads showed sleep alterations in 69,8% of adults, in 58,6% of children aged 0-3 years, 33,9% in the 4-12 years range (with a predominance of disorders of initiating or maintaining sleep), and 56,6% in adolescents. Sex (female) and children with sleep disturbances were significant predictors of a sleep problem in parents (p < 0.005). Subjective perception revealed complaints related to emotional concerns such as anxiety and fear in adults and due to alterations in routine in children and adolescents.

CONCLUSION

The present study's data showed an increased rate of sleep problems among families during quarantine both measured by validated instruments and also based on personal perception.

Perceived stress and quality of life among frontline nurses fighting against COVID-19: A web-based cross-sectional study

BACKGROUND

The coronavirus disease-2019 (COVID-19) crisis has changed many aspects of frontline nurses' lives. Nurses caring for patients with COVID-19 reported experiencing significant psychological distress and work-related anxiety. This study aimed to assess the perceived stress and quality of life among frontline nurses fighting against COVID-19.

MATERIALS AND METHODS

This web-based cross-sectional study was conducted on 322 frontline nurses fighting against COVID-19 in hospitals affiliated to Mazandaran University of Medical Sciences. Data were collected using the two following online questionnaires: the Perceived Stress Scale and World Health Organization Quality of Life-Brief. Data were compiled from October 23, 2020, to November 25, 2020. Data were analyzed using the independent sample t-test, Pearson's correlation test, and regression analysis test in the SPSS-21.

RESULTS

Average perceived stress scores was 30.27 (standard deviation [SD] = 7.01). Average quality of life subscale scores consist of physical health, psychological health, social relationships, and environment were 57.71 (SD = 12.74), 44.3 (SD = 15.58), 45.61 (SD = 16.99), and 47.6 (SD = 18.11), respectively. There was an inverse significant association between all the subscales of quality of life and perceived stress (P = 0.008). Based on the multiple linear regression analysis, the variables of age, gender, marital status, and perceived stress were the significant predictors of quality of life subscales.

CONCLUSIONS

Paying serious attention to addressing the concerns of frontline nurses, especially those who are at high risk, is necessary. It is recommended to take action as soon as possible to reduce the perceived stress and improve quality of life on nurses who care for patients with COVID-19.

The pooled prevalence of the mental problems of Chinese medical staff during the COVID-19 outbreak: A meta-analysis

BACKGROUND

The COVID-19 pandemic has had a great impact on the mental health of the medical staff in China, especially those on the first-line (frontline) of the pandemic. But the profile of the mental problem of nationwide Chinese medical staff is still unclear, especially about the sleep problems.

METHODS

There are five databases (PubMed, Embase, CNKI, Wanfang Database and Web of Science) searched to identify the published studies on the mental health of the medical staff in China during the COVID-19 outbreak. The pooled prevalence of mental problems of Chinese medical staff during the pandemic were calculated, especially for the first-line medical staff. Subgroup analysis and meta-regression analysis were performed to identify the potential impact factors.

RESULTS

A total of 71 articles including 98,533 participants are included in this meta-analysis. The results showed that the pooled prevalence of the mental problems was as follows: anxiety problem 27%, depression problem 29%, sleep problem 40%. Subgroup analysis showed that there were significant differences in the prevalence of anxiety and depression problems between first-line and non-first-line medical staff (p < 0.01). Sex had a significant impact on the sleep of first-line medical staff (p < 0.01).

LIMITATIONS

There may be heterogeneity among the included studies. The analysis of potential influencing factors remains limited.

CONCLUSIONS

The prevalence of adverse mental problems among medical staff is high during the COVID-19 outbreak. We need to pay special attention to the mental health of first-line medical staff, especially the sleep problems of female first-line workers.

Sleep disturbances during the COVID-19 pandemic: A systematic review, meta-analysis, and meta-regression

This systematic review and meta-analysis evaluated the extent of sleep disturbances during the COVID-19 pandemic. Eleven databases and six preprint repositories were searched for the period from November 1, 2019, to July 15, 2021. The DerSimonian and Laird method was used to develop random-effect meta-analyses. Two hundred and fifty studies comprising 493,475 participants from 49 countries were included. During COVID-19, the estimated global prevalence of sleep disturbances was 40.49% [37.56; 43.48%]. Bayesian meta-analysis revealed an odds of 0.68 [0.59; 0.77] which translates to a rate of approximately 41%. This provides reassurance that the estimated rate using classical meta-analysis is robust. Six major populations were identified; the estimated prevalence of sleep problem was 52.39% [41.69; 62.88%] among patients infected with COVID-19, 45.96% [36.90; 55.30%] among children and adolescents, 42.47% [37.95; 47.12%] among healthcare workers, 41.50% [32.98; 50.56%] among special populations with healthcare needs, 41.16% [28.76; 54.79%] among university students, and 36.73% [32.32; 41.38%] among the general population. Sleep disturbances were higher during lockdown compared to no lockdown, 42.49% versus 37.97%. Four in every ten individuals reported a sleep problem during the COVID-19 pandemic. Patients infected with the disease, children, and adolescents appeared to be the most affected groups.

Insomnia symptoms during the early and late stages of the COVID-19 pandemic in China: a systematic review and meta-analysis

BACKGROUND

Evidence suggests that the outbreak of the coronavirus disease 2019 (COVID-19) and the prevention/control measures for COVID-19 may cause insomnia during the acute phase of COVID-19 pandemic in China. However, it is unclear whether insomnia sustains during the later phases of the pandemic.

METHODS

We searched PubMed/Medline, EMBASE, PsycINFO and China National Knowledge Infrastructure from the 27th December 2019 to the 2nd February 2021. As early stage studies on COVID-19 pandemic in China were defined as those conducted prior to April 1st, 2020, while late stage studies were those conducted after April 1st, 2020.

RESULTS

A total of 98 studies with 193,889 participants were included. The pooled prevalence of insomnia symptoms among all populations was 39.1% (95% CI 36.2-42.0%); the pooled prevalence of insomnia symptoms during the early and late stages of COVID-19 in China were 37.0% (95% CI 34.1-39.9%) and 41.8% (95% CI 33.6-50.0%), respectively. Importantly, there was no significant difference regarding the prevalence of insomnia symptoms between the early and late stages of COVID-19. Meta-regression showed that healthcare workers, COVID-19 patients, patients with chronic medical conditions and patients with mental disorders had a higher prevalence of insomnia symptoms compared to the general population. This association remained significant in healthcare workers and patients with chronic medical conditions after adjusting for age, gender, areas of high or low prevalence of COVID-19 cases, anxiety and depression.

CONCLUSIONS

Over one third of our sample present insomnia symptoms during the early stage of COVID-19 pandemic in China. Interestingly, prevalence of insomnia symptoms sustains high during the late stage of the pandemic despite the control of the disease and the amelioration of its adverse effects. Our findings suggest that insomnia symptoms related to COVID-19 appear to persist of over time.

Psychosocial Experiences of Front-Line Nurses Working During the COVID-19 Pandemic in Hubei, China: A Qualitative Study

Background

A large number of nurses across China joined the anti-coronavirus disease 2019 (COVID-19) front-line in Hubei province, where the local healthcare system faced unprecedented challenges in the early 2020. Few studies have reported the psychological experiences of nurses from other regions who voluntarily participated in the response to the COVID-19 pandemic in Hubei province.

Aim

To describe the psychological experiences of nurses who were involved in the anti-COVID-19 pandemic battle in Hubei province from January to April 2020.

Methods

This was a qualitative descriptive study using purposive and snowball sampling strategies for participant recruitment. Twenty-four nurses were approached and twenty-one of them completed telephone interviews in April 2020. The interviews took an average of 75 min (range 34–140 min). Data were analyzed thematically after verbatim transcription of the interviews.

Results

Our analysis generated three primary themes: (I) Contexts; (II) Psychological responses; and (III) Coping strategies (most participants identified suitable coping strategies including relaxing activities and seeking social support). Participants' psychological responses varied in four phases of the journey through the experience: (i) initiation phase: obligations and concerns/fears; (ii) transition phase: from overwhelmed to increased confidence; (iii) adaptation phase: a sense of achievement and exhaustion; and (iv) completion phase: professional and personal growth.

Conclusion

Nurses had concerns, fears, and faced challenges working on the COVID-19 front-line. However, they were motivated by a strong sense of professional commitment. Most nurses successfully achieved personal and professional growth as they identified a range of coping strategies. Future research is needed to explore the long-term impact of the COVID-19 related working experiences on these nurses.

Reliability and validity of the Pittsburgh Sleep Quality Index among frontline COVID-19 health care workers using classical test theory and item response theory

STUDY OBJECTIVES

The applicability of sleep-related scales to frontline medical staff for the COVID-19 pandemic has not been fully proved, so sleep survey results lack credibility and accuracy, creating difficulties for the guidance and treatment of frontline medical staff with sleep disorders, which is not conducive to the prevention and control of COVID-19. This study sought to analyze the reliability and validity of the Pittsburgh Sleep Quality Index (PSQI) among frontline medical staff fighting the COVID-19 pandemic.

METHODS

A network questionnaire survey was used to investigate the PSQI among frontline medical staff who fought COVID-19 in Wuhan, China from March 19 to April 15, 2020. Combined with classical test theory and item response theory, the content validity, internal consistency, construct validity, and other aspects of the PSQI were evaluated.

RESULTS

According to classical test theory, content validity, criterion validity, and construct validity of the PSQI were good. But the internal consistency was better after the deletion of the "daytime dysfunction" subscale. With regard to item response theory, difficulty, the differential item function, and the Wright map performed well.

CONCLUSIONS

The original PSQI showed acceptable applicability in frontline COVID-19 medical staff, and its characteristics moderately improved after the "daytime dysfunction" subscale was removed.

CITATION

Wang L, Wu Y-X, Lin Y-Q, et al. Reliability and validity of the Pittsburgh Sleep Quality Index among frontline COVID-19 health care workers using classical test theory and item response theory. J Clin Sleep Med. 2022;18(2):541-551.

Insomnia episodes, new-onset pharmacological treatments, and other sleep disturbances during the COVID-19 pandemic: a nationwide cross-sectional study in Brazilian health care professionals

STUDY OBJECTIVES

To evaluate the impact of the coronavirus disease 2019 (COVID-19) pandemic on insomnia and other sleep disturbances in health care professionals.

METHODS

A survey was distributed using social media and organizational emails to Brazilian active health care professionals during the COVID-19 outbreak. We explored potential associated factors including age, sex, occupation, workplace, work hours, income, previous infection with COVID-19, recent/current contact with COVID-19 patients, regional number of incident deaths, anxiety, and burnout. We evaluated new-onset/previous insomnia worsening episodes (primary outcome), new pharmacological treatments, sleep quality, duration, nightmares, and snoring (secondary outcomes).

RESULTS

A total of 4,384 health professionals from all regions of the country were included in the analysis (44 ± 12 years, 76% females, 53.8% physicians). Overall, 55.7% were assisting patients with COVID-19, and 9.2% had a previous COVID-19 infection. The primary outcome occurred in 32.9% of respondents in parallel to 13% new pharmacological treatments for insomnia. The sleep quality worsened for 61.4%, while 43.5% and 22.8% reported ≥ 1-hour sleep duration reduction and worsening or new-onset nightmares, respectively. Multivariate analyses showed that age (odds ratio [OR]: 1.008; 95% confidence interval [CI] 1.001-1.015), females (OR: 1.590; 95% CI 1.335-1.900), weight change (decrease: OR: 1.772; 95% CI 1.453-2.161; increase: OR: 1.468; 95% CI 1.249-1.728), prevalent anxiety (OR: 3.414; 95% CI 2.954-3.948), new-onset burnout (OR: 1.761; 95% CI 1.489-2.083), family income reduction > 30% (OR: 1.288; 95% CI 1.069-1.553), and assisting patients with COVID-19 (OR: 1.275; 95% CI 1.081-1.506) were independently associated with new-onset or worsening of previous insomnia episodes.

CONCLUSIONS

We observed a huge burden of insomnia episodes and other sleep disturbances in health care professionals during the COVID-19 pandemic.

CITATION

Drager LF, Pachito DV, Moreno CRC, et al. Insomnia episodes, new-onset pharmacological treatments, and other sleep disturbances during the COVID-19 pandemic: a nationwide cross-sectional study in Brazilian health care professionals. J Clin Sleep Med. 2022;18(2):373-382.

The association between sleep and psychological distress among New York City healthcare workers during the COVID-19 pandemic

BACKGROUND

Healthcare workers (HCWs) treating patients with COVID-19 report psychological distress. We examined whether disturbed sleep was associated with psychological distress in New York City (NYC) HCWs during the initial peak of the COVID-19 pandemic (April-May 2020).

METHODS

HCWs completed a survey screening for acute stress (4-item Primary Care PTSD screen), depressive (Patient Health Questionaire-2), and anxiety (2-item Generalized Anxiety Disorder scale) symptoms. Insomnia symptoms (modified item from the Insomnia Severity Index) and short sleep (SS, sleep duration <6 h/day) were assessed. Poisson regression analyses predicting psychological distress from SS and insomnia symptoms, adjusting for demographics, clinical role/setting, redeployment status, shifts worked, and multiple comparisons were performed.

RESULTS

Among 813 HCWs (80.6% female, 59.0% white) mean sleep duration was 5.8 ± 1.2 h/night. Prevalence of SS, insomnia, acute stress, depressive, and anxiety symptoms were 38.8%, 72.8%, 57.9%, 33.8%, and 48.2%, respectively. Insomnia symptoms was associated with acute stress (adjusted prevalence ratio [PR]: 1.51, 95% CI: 1.35, 1.69), depressive (PR: 2.04, 95% CI: 1.78, 2.33), and anxiety (PR: 1.74, 95% CI: 1.55, 1.94) symptoms. SS was also associated with acute stress (PR: 1.17, 95% CI: 1.07, 1.29), depressive (PR: 1.36, 95% CI: 1.233, 1.51), and anxiety (PR: 1.38, 95% CI: 1.26, 1.50) symptoms.

LIMITATIONS

Our cross-sectional analysis may preclude the identification of temporal associations and limit causal claims.

CONCLUSIONS

In our study, SS and insomnia were associated with psychological distress symptoms in NYC HCWs during the COVID-19 pandemic. Sleep may be a target for interventions to decrease psychological distress among HCWs.

Prevalence of Depression and Anxiety in Nurses during the First Eleven Months of the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

The high risk of coronavirus (COVID-19) infection can increase the physical and psychological strain on nurses in professional practice, which can lead to mental health problems. The purpose of this systematic review and meta-analysis is to establish and estimate the combined incidence of depression and anxiety among nurses during the COVID-19 pandemic using standard measurement tools. A systematic search of the electronic databases PubMed, Web of Science, and SCOPUS was carried out to identify cross-sectional studies in the period from 3 March 2020 to 18 February 2021. Two reviewers independently and critically evaluated the studies which have been included, using the Agency for Healthcare Research and Quality checklist. We have identified twenty-three studies (n = 44,165) from nine countries. The combined incidence of depression among nurses was 22% (95% CI 0.15–0.30, I² = 99.71%), and anxiety symptoms 29% (95%CI 0.18–0.40, I² = 99.92%). No significant difference was observed in the percentage of depression and anxiety between the study subjects working on the frontlines vs. those in a mixed group (those working on the frontlines and behind the lines). This meta-analysis shows that over one-fifth of nurses in professional practice during the COVID-19 epidemic suffer from depression disorders, and almost one-third experience anxiety symptoms. This underscores the importance of providing comprehensive psychological support strategies for nurses working in pandemic conditions. Further longitudinal research is necessary to assess the severity of mental health symptoms related to the COVID-19 epidemic factor.

Relationships Between Mental Health, Emotion Regulation, and Meaning in Life of Frontline Nurses During the COVID-19 Outbreak

BACKGROUND

The sporadic outbreak of COVID-19 and the constant mutation of the virus have put the public in panic. Frontline nurses' appropriate emotional regulation and mental health are the key to win the victory of fighting against the epidemic. The relationships between these variables directly influence the availability of human resources to combat COVID-19.

OBJECTIVE

To investigate the relationship between meaning in life, emotional regulation, and mental health of frontline nurses during the Delta virus epidemic.

METHODS

A cross-sectional survey was conducted in August 2021 among 105 nurses from the Second Xiangya Hospital, Central South University, Changsha, China, who were deployed at the COVID-19 units in Zhangjiajie People's Hospital. The Chinese Meaning in Life Questionnaire, Emotion Regulation Questionnaire, and Psychological Questionnaire for Emergent Events of Public Health were used to evaluate their meaning in life, emotion regulation, and mental health. Their correlation and the moderating effect of emotion regulation were conducted.

RESULTS

In total, 105 (100%) nurses responded. There were 14 men and 91 women and the mean age was (30.295 ± 4.653) years. The average score of meaning in life and mental health of frontline nurses was 49.971 ± 6.386 and 2.755 ± 2.580, respectively. The meaning in life of frontline nurses was positively correlated with cognitive reappraisal and negatively correlated with expressive suppression and mental health. Mental health was negatively correlated with cognitive reappraisal and positively correlated with expressive suppression. The emotional regulation of frontline nurses has a moderating effect between meaning in life and mental health.

CONCLUSION

Meaning in life and emotion regulation of frontline nurses were significantly correlated with mental health under the effects of the COVID-19 pandemic. Changing the emotion regulation of frontline nurses, strengthening cognitive reappraisal, and weakening expressive suppression could reduce the predictive effect of meaning in life on mental health.

Predictors of Depression in Nurses During COVID-19 Health Emergency; the Mediating Role of Resilience: A Cross-Sectional Study

BACKGROUND

Nurses are susceptible to several mental problems, such as fear, stress, and depression due to the COVID-19 pandemic, which affects their emotional well-being. However, resilience plays an important role in mitigating the effects of COVID-19.

OBJECTIVE

This study was to examine the mediating role of resilience in the relation between fear, stress, and depression of nurses during COVID-19 health emergencies.

METHODS

A cross-sectional-predictive study was carried out. The variables analyzed were fear, resilience, stress, and depression. A total of 286 nurses from 2 hospitals in the cities of Juliaca and Puno, Peru. Data analyses were performed using structural equation modeling (SEM).

RESULTS

Analyses showed that the variables were significantly related (P < .01). In addition, a confirmatory analysis of the hypothesized model using structural equation modeling shows that fear and stress are predictors of depression, and that resilience plays a role in mediating the effect of fear on stress (X2 = 534.69, gl = 372, P = .000; TLI = .902, CFI = .910, RMSEA = .039 [95% CI = 0.032-0.046], and SRMR = .065).

CONCLUSION

Nurses tend to develop fear, stress, and depression. Resilience reduces the impact of these psychological variables. Hospital management should provide psychological support and training for nurses in coping strategies.

Prevalence and factors associated with poor sleep quality among nursing professionals during the COVID-19 pandemic

ABSTRACT Objective: to identify the prevalence and factors associated with poor sleep quality among nursing professionals during the COVID-19 pandemic. Method: a cross-sectional study, conducted in June and July 2020, with 890 nursing professionals. To screen the outcome, question 3 of the Self-Reporting Questionnaire was used, assessing poor sleep quality 30 days preceding the application of the questionnaire. Associations between variables of interest were tested using Poisson regression models. Results: the prevalence of poor sleep quality was 68%. Associated factors were moderate or heavy workload, poor assessment of working conditions, suspected infection with COVID-19, more than two thirds of the workload for pandemic and the use of psychotropic drugs. Conclusion: the study pointed out a high prevalence of poor sleep quality among nursing workers with an important relationship with working conditions.

Association between sleep disturbance and mental health of healthcare workers: A systematic review and meta-analysis

OBJECTIVES

Sleep disturbance and mental health are challenges for healthcare workers (HCWs). Especially during the COVID-19 pandemic, they experienced more severe sleep and mental health problems. However, the association between sleep disturbance and the mental health of HCWs is still controversial. This study aimed to systematically review the relationship by conducting a systematic review and meta-analysis.

METHOD

Two researchers retrieved the literature from Web of Science, PubMed, EMBASE, CINAHL, Psyclnfo, and Cochrane Library from the establishment of the databases until November 20, 2021. We used the New Castle-Ottawa Scale (NOS) and Agency for Healthcare Research and Quality (AHRQ) to evaluate the risk of bias in prospective research and cross-sectional research, respectively. The major exposure was HCWs' sleep disturbance, and the major outcome was mental health. The correlation coefficients (r), regression coefficients (β) and odds ratios (OR) of the included studies were integrated.

RESULT

Fifty-nine studies were included for qualitative analysis, of which 30 studies could be combined and entered into quantitative analysis. There were 23 studies during the COVID-19 pandemic among the 59 included studies. The results of the meta-analysis showed that the correlation coefficient between sleep disturbance and mental health was 0.43 (95% CI: 0.39-0.47). HCWs with sleep disturbance had a 3.74 (95% CI: 2.76-5.07) times higher risk of mental health problems than those without sleep disturbance. The correlation coefficient during the COVID-19 epidemic was 0.45 (95% CI: 0.37-0.53), while it was 0.40 (95% CI: 0.36-0.44) during the non-epidemic period. Subgroup analysis compared the OR results in epidemic and non-epidemic periods of COVID-19, which were 4.48 (95% CI: 2.75-5.07) and 3.74 (95% CI: 2.74-7.32), respectively.

CONCLUSION

Sleep disturbance and mental health problems were positively correlated among HCWs. Particularly in the COVID-19 pandemic, more attention should be given to this issue.

Sleep Quality and the Depression-Anxiety-Stress State of Frontline Nurses Who Perform Nucleic Acid Sample Collection During COVID-19: A Cross-Sectional Study

Objective

To explore the sleep quality and depression-anxiety-stress state of frontline nurses in high-risk areas who conduct nucleic acid sampling testing for COVID-19 to provide a basis for formulating intervention programs in crisis management.

Methods

From August 22 to 30, 2021, a convenient sampling method was used in Zhangjiajie City, Hunan Province, China. A total of 248 frontline nurses who performed nucleic acid sample collection were selected. The following tests were used: the general information questionnaire, Pittsburgh Sleep Quality Questionnaire (PSQI), and Depression–Anxiety Stress Scale (DASS-21).

Results

A total of 236 nurses completed the survey; 88.14% (n = 208) were women, the average age was 33.02±6.81, the PSQI score was 15 (13–17), and 231 (97.88%) nurses had sleep disorders during the period in Zhangjiajie, 219 nurses (81.36%) had anxiety, 135 nurses (45.76%) had depression, and 112 nurses (42.59%) felt stressed. Spearman correlation analysis was used to associate the PSQI with the DASS-21. The results showed that the use of hypnotic drugs was negatively correlated with DASS-21 (P<0.05), while the rest were positively correlated. The results of the multivariate analysis of sleep disorders showed that depression, anxiety, and stress were related to sleep quality (P<0.05), and there was no statistical difference in the other variables.

Conclusion

During the COVID-19 pandemic, the sleep quality and depression-anxiety-stress state of the frontline nurses performing nucleic acid testing were adversely affected. Sleep disturbance is a serious problem among nurses testing for the delta strain during the pandemic. Anxiety, stress, and depression are associated with sleep disorders. It is necessary to take corresponding measures and conduct crisis management interventions to improve sleep quality and mental health adjustment during public health emergencies.

Stress level and sleep quality of nurses during the COVID-19 pandemic

BACKGROUND

COVID-19 infection is transmitted easily and quickly, and nurses constitute the riskiest group of healthcare workers. Therefore, they may experience high levels of stress and sleep problems.

OBJECTIVE

This study was conducted in order to evaluate the stress levels and sleep quality of nurses working during the COVID-19 pandemic.

METHODS

The cross-sectional study was conducted with 316 nurses working in a pandemic hospital in a city center. A descriptive form, the Pittsburgh Sleep Quality Index (PSQI), and the Perceived Stress Scale (PSS) were used to collect data.

RESULTS

A positive, moderately significant correlation was found between the average PSQI score of nurses and the average perceived stress score (p≤0.001). Multiple regressions determined that shift work, stress level, a coworker having COVID-19, being out of home due to the risk of transmission, and having a person older than 65 in the home were effective predictors of sleep quality (R2 = 33.5, p≤0.001). Age, years worked, fear of infecting the family with COVID-19, receiving COVID-19 education, regular nutrition, and sleep quality were effective predictors of stress level (R2 = 32.2, p≤0.001).

CONCLUSION

It was determined that nurses have low sleep quality and high stress levels during the pandemic process.