Sleep disturbances among medical workers during the outbreak of COVID-2019

Using machine learning to analyze mental health in distance education during the COVID-19 pandemic: an opinion study from university students in Mexico

In times of lockdown due to the COVID-19 pandemic, it has been detected that some students are unable to dedicate enough time to their education. They present signs of frustration and even apathy towards dropping out of school. In addition, feelings of fear, anxiety, desperation, and depression are now present because society has not yet been able to adapt to the new way of living. Therefore, this article analyzes the feelings that university students of the Instituto Tecnológico Superior de Misantla present when using long distance education tools during COVID-19 pandemic in Mexico. The results suggest that isolation, because of the pandemic situation, generated high levels of anxiety and depression. Moreover, there are connections between feelings generated by lockdown and school performance while using e-learning platforms. The findings of this research reflect the students' feelings, useful information that could lead to the development and implementation of pedagogical strategies that allow improving the students' academic performance results.

Research on sleep disorders and related risk factors among healthcare workers from Fujian province supporting Hubei province during the COVID-19 pandemic

Objective

To explore the impact of COVID-19 on the sleep of healthcare workers from Fujian Province supporting Hubei Province and its related risk factors.

Methods

A cross-sectional, anonymous, self-reported online questionnaire survey was conducted among all participants. The questionnaire consisted of five parts: sociodemographic characteristics and COVID-19 epidemic-related factors, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Morningness-Eveningness Questionnaire-5 (MEQ-5), and 12-item General Health Questionnaire (GHQ-12).

Results

Among 552 participants, 203 (36.8%) had a PSQI score > 7, indicating the presence of sleep disorders. Logistic regression analysis revealed that sleep disorders were independently associated with a history of previously diagnosed sleep disorders (OR 6.074, 95% CI 2.626-14.049, P < 0.001), rotating night shifts > 3 times per week (OR 3.089, 95% CI 1.650-5.781, P < 0.001), using electronic devices before sleep >1 h (OR 1.685, 95% CI 1.131-2.511, P = 0.010), concern about contracting COVID-19 (OR 1.116, 95% CI 1.034-1.204, P = 0.005), perception of societal support for supporting healthcare workers in Hubei (OR 0.861,95% CI 0.744-0.998, P = 0.047) (OR 0.861, 95% CI 0.744-0.998, P = 0.047), non-medical staff (OR 0.257, 95% CI 0.067-0.987, P = 0.048), ESS score (OR 1.068, 95% CI 1.018-1.121, P = 0.007), and GHQ-12 score (OR 1.511, 95% CI 1.281-1.782, P < 0.001).

Conclusion

Sleep disorders were highly prevalent among healthcare workers from Fujian Province supporting Hubei Province during the COVID-19 pandemic. Risk factors for sleep disorders included a history of previously diagnosed sleep disorders, rotating night shifts > 3 times per week, using electronic devices before sleep >1 h, excessive concern about contracting COVID-19, and poorer psychological health. Higher perceived societal support and understanding of support for healthcare workers supporting Hubei were associated with a reduced risk of sleep disorders, as was being non-medical staff. Providing more sleep hygiene education and psychological health services for frontline healthcare workers is necessary.

Changes in sleep patterns in primary care workers during the first wave of the COVID-19 pandemic in 2022 in Shanghai: a cross-sectional study

The coronavirus disease (COVID-19) pandemic has significantly affected the sleep health of healthcare workers (HCWs); however, no studies have assessed this effect in primary HCWs. This cross-sectional, web-based study explored the prevalence and factors associated with sleep disorders among primary HCWs during the first COVID-19 outbreak in Shanghai from 12 July to 15 August 2022. Sociodemographic and work-related characteristics, various sleep dimensions, and exposure to patients with COVID-19 were assessed. They were screened for common mental disorders (depression, burnout, and stress). Overall, 313 primary HCWs were recruited. At least one sleep dimension in 84% of respondents deteriorated compared with that observed pre-pandemic; sleep quality (decline of 66%) and daytime sleepiness (increase of 56%) were the most affected domains. After excluding 145 primary HCWs with pre-pandemic 'poor sleep', depression (odds ratio [OR] 3.08; 95% confidence interval [CI] 1.59-5.98), weekly burnout symptoms (OR 2.57; 95% CI 1.32-5.03), and high psychological stress (OR 4.51; 95% CI 2.09-9.72) were associated with poor sleep patterns during the pandemic. After adjusting for significant differences between groups, for every 1-point increase in the Perceived Stress Scale score, an associated 12% increased risk of poor sleep (adjusted OR 1.12; 95% CI 1.05-1.21; p = 0.002) was observed. Most primary HCWs showed significant worsening of sleep quality, with increases in daytime sleepiness during the first wave of the COVID-19 pandemic in Shanghai. HCWs with high stress levels were at greater risks of sleep disorders.

Exploring factors influencing depression among Polish nurses during the COVID-19 pandemic

Objectives

The COVID-19 pandemic has been recognized as an international public health emergency. The aim of our study was to identify contributors to nurses' depression.

Methods

This survey-based study was conducted in the Pomeranian Medical University Hospital no. 1 in Szczecin and involved 207 nurses. The following standardized research instruments were applied: the World Assumptions Scale, the Athens Insomnia Scale, the Impact of Event Scale - Revised, the Patient Health Questionnaire-9, the Generalized Anxiety Disorder, the Perceived Stress Scale, and a questionnaire of our own authorship.

Results

The study showed that 72.95% of the subjects experienced severe stress, and 40.58% suffered from insomnia. In addition, 65.7% of the respondents had anxiety symptoms of varying degrees of severity, and 62.8% had depressive symptoms of mild to severe severity. The mean score on the IES-R scale, reflecting a psychological impact of the COVID-19 pandemic, was 34.25. The COVID-19 pandemic affected the psychological health of medical staff, particularly through increased stress and anxiety symptoms. Anxiety levels and insomnia significantly affect the prevalence of depression among nurses.

Conclusion

The COVID-19 pandemic has been recognized as an international public health emergency. The COVID-19 pandemic affected the psychological health of medical staff, particularly through increased stress and anxiety symptoms. It is important to conduct further research after the COVID-19 pandemic has ended.

Up all night: the effect of the COVID-19 pandemic on insomnia among college students

Objective: To investigate COVID-19's impact on sleep, specifically insomnia, in college students. Participants: Students from a private university were eligible if they registered for Refresh, an online sleep-health program. Methods: A pre-intervention survey was distributed and assessed insomnia and COVID-19 factors using the Insomnia Severity Index (ISI) and a COVID-19 questionnaire. Baseline ISI scores from students enrolled in 2020-2021 were compared to scores from students enrolled in 2018-2019 using a two-sample t-test. Associations between insomnia and the COVID-19 factors were determined using chi-square tests. Results: There was no significant difference in baseline ISI scores when comparing 2018-2019 scores to those collected during the pandemic, p = 0.274. There was a statistically significant association between having insomnia and a student's learning location, p = 0.006, as well as disturbances in sleep caused by the pandemic, p = 0.026. Conclusion: Our results indicate that the COVID-19 pandemic did not worsen baseline insomnia.

Quality of Life in Healthcare Workers during COVID-19-A Longitudinal Study

The COVID-19 pandemic occurred in 2020, and affected people's daily life worldwide at work and at home. Healthcare workers are a professional group with heavy workloads, and during the COVID-19 pandemic, their burden increased. The literature from earlier outbreaks describes risks for affected mental health in frontline workers, and the main aim of this study is to examine healthcare workers' quality of life during the COVID-19 pandemic. In addition, we sought to assess if there was any difference in working at a pandemic ward compared to anon-pandemic ward. In this longitudinal and descriptive study, a total of 147 healthcare workers assessed their perceived health every third month over one year using the RAND-36 health survey. RAND-36 is a general instrument that consists of 36 questions and is widely used for assessing quality of life. The healthcare workers in this study showed reductions in perceived quality of life during the first six months of the COVID-19 pandemic. Healthcare workers on a pandemic ward reported a lower score in RAND-36 compared to healthcare workers on a non-pandemic ward. Registered nurses and licensed practical nurses seemed more negatively affected in their quality of life than physicians. Compared to data from the general Swedish population, healthcare workers in this study had less energy during this period.

In-person and telehealth treatment of veterans with insomnia disorder using cognitive behavioral therapy for insomnia during the COVID-19 pandemic

STUDY OBJECTIVES

Cognitive behavioral therapy for insomnia (CBT-I) is the recommended first-line treatment for insomnia disorder. The goal of this study was to evaluate clinical benefits of CBT-I to veterans with insomnia disorder during the early months of the COVID-19 pandemic using an uncontrolled observational design.

METHODS

A cohort of 63 Veterans Affairs (VA) mental health providers delivered CBT-I to 180 veterans as part of an evidence-based psychotherapy training program and captured de-identified treatment outcome data through a data portal. The main patient outcomes were change in the Insomnia Severity Index (ISI) total score from the initial clinical assessment session to the last treatment session, response rate (% with ISI change > 7 from assessment to last session), and remission rate (% with ISI < 8 at the last session). We tested the noninferiority of telehealth only compared with at least 1 in-person session.

RESULTS

Fifty-six percent of veterans seen for an evaluation completed CBT-I treatment during the structured training program phase and completed an initial and final ISI. Among these veterans, ISI scores decreased by an average of 9.9 points from before to after treatment (P < .001), 66% experienced a clinically meaningful treatment response, and 43% experienced insomnia symptom remission. Benefits were similar whether the veteran received some in-person care or received CBT-I entirely via telehealth.

CONCLUSIONS

Findings suggest, regardless of treatment modality, CBT-I remained highly effective during the early months of the pandemic, which was a challenging time for both clinical providers and veterans in need of insomnia treatment.

CITATION

Martin JL, DeViva J, McCarthy E, et al. In-person and telehealth treatment of veterans with insomnia disorder using cognitive behavioral therapy for insomnia during the COVID-19 pandemic. J Clin Sleep Med. 2023;19(7):1211-1217.

Dreaming during a pandemic: Low incorporation of COVID-19-specific themes and lucidity in dreams of psychiatric patients and healthy controls

The present study examined the impact of the COVID-19 pandemic on the emotional quality of dreams, the incorporation of pandemic-related themes, and the occurrence of lucid dreaming. Dream reports and lucidity ratings of psychiatric outpatients (n = 30) and healthy controls (n = 81) during two lockdowns in Germany were compared to those of healthy controls (n = 33) before the pandemic. Results confirmed previous reports that pandemic-specific themes were incorporated into dreams. Overall, however, incorporation into dreams was rare. Contrary to expectations, psychiatric outpatients did not differ from controls in the frequency of dream incorporation of pandemic-related content. Moreover, incorporation was independent of psychiatric symptoms and loneliness. Loneliness was, however, associated with threat-related content, suggesting that it represents a risk for bad dreams but not for crisis-specific dream incorporation. Regarding lucid dreaming, both groups had similar scores for its underlying core dimensions, i.e., insight, control, and dissociation, during the two lockdowns. Scores for control and dissociation but not insight were lower compared to the pre-pandemic sample. Our working hypothesis is that REM sleep during lockdowns intensified as a means of increased emotional consolidation, rendering the associated mental state less hybrid and thereby less lucid.

Sleep hygiene and sleep quality in Iranian adolescents during the COVID-19 pandemic

OBJECTIVES

Sleep is one of the issues that attracted the attention of researchers during the COVID-19 pandemic. Researchers focused their studies on the prevalence of sleep disorders, sleep quality, and sleep duration. Sleep hygiene is a set of guidelines that play an important role in the sleep quality, the present study sought to evaluate the amount of sleep hygiene and sleep quality in Iranian adolescents and their relationship during the COVID-19 pandemic.

METHODS

The present study was conducted using a cross-sectional design. The research population consisted of all adolescents living in Kermanshah (western Iran) in 2021. The participants were a sample of 610 adolescents. They completed the Pittsburgh Sleep Quality Inventory and Adolescent Sleep Hygiene Scale.

RESULTS

The mean sleep quality score for the participants was 7.14 ± 2.47, indicating the high frequency of sleep problems affecting the participants. There were significant correlations between all components of sleep hygiene and sleep quality. There was also a significant correlation (r = - 0.46 between sleep hygiene and sleep quality (p < 0.001). No significant difference was observed in sleep hygiene and sleep quality between the male and female adolescents. The results showed that sleep hygiene subscales can predict sleep quality (R = 0.53, F = 39.20, p < .01).

CONCLUSIONS

The data in this study confirmed the poor observance of sleep hygiene in adolescents during the COVID-19 pandemic and reported frequent sleep problems among the participants. The results also indicated a moderate relationship between sleep hygiene and sleep quality in adolescents. Thus, sleep hygiene components can be related to sleep quality.

Impact of quarantine on sleep quality and psychological status in COVID-19 suspected cases in Riyadh, Saudi Arabia

Aim

The purpose of this study was to investigate into mental health outcomes such as stress, anxiety, and depression, as well as sleep quality in suspected COVID-19 quarantined cases.

Methods

This is a cross-sectional study that used an online survey to target suspected COVID-19 cases in quarantine facilities. Data were collected on several aspects of participants' sociodemographic characteristics, sleep disturbance, and mental health status. Depression, anxiety, stress scale and Pittsburgh Sleep Quality Index were used to measure both the psychological impact and mental health status.

Results

Of the 362 people who took the survey, 234 (64.6%) were men, and 148 were between the ages of 26-35. Poor sleep was found to be prevalent in 65% of study participants. The rates of individuals reporting severe depression, anxiety, and stress symptoms were 14.6%, 15%, and 15%, respectively. According to the findings, there were significant gender differences in depression and anxiety (p = 0.001). When compared to the other age groups, participants aged 26-35 reported the highest level of stress (p = 0.001). Being male [OR = -1.23, 95% CI (-2.75-1.95) P = 0.050], single [OR = 0.98, CI (0.15-4.20), P = 0.001], and a healthcare worker [OR = -2.20, 95% CI (-2.59-1.82), P = 0.001] were all associated with poor sleep quality.

Conclusion

Approximately-one-third of quarantine COVID-19 patients had poor sleep quality with mild-moderate depression. Both anxiety and stress scales were prevalent in nearly half of the studied samples.

Impacts of COVID-19 Pandemic on Sleep Quality Evaluated by Wrist Actigraphy: A Systematic Review

COVID-19 has probably contributed as a risk factor for sleep disturbance. Actigraphy has been used to evaluate sleep complaints in self-isolated populations and frontline doctors during the COVID-19 pandemic. This systematic review aims to summarize the impact of the COVID-19 pandemic on sleep through wrist actigraphy, estimating sleep latency, total sleep time, awakening-after-sleep onset, and sleep efficiency. Searches were conducted of observational studies on the PubMed, Embase, Scopus, Web of Science, and PEDro databases from 1 December 2019 to 31 December 2022. Ninety articles were found, and given the eligibility criteria, fifteen were selected. Six studies were classified by the National Health and Medical Research Council as evidence level IV, two studies as level III-3, and seven studies as level III-2. According to the ACROBAT-NRSI instrument, three studies were classified as having a "serious" risk of bias, two as having "critical" risk, four as having "moderate" risk, and six as having "low" risk. In the selected publications, various populations were evaluated via actigraphy during the COVID-19 pandemic, with reports of "poor" sleep quality. Actigraphy may be a relevant tool to assess individual day-night rhythms and provide recommendations under enduring pandemic conditions. Moreover, as actigraphy presents objective data for sleep evaluations, it is suggested that this method be used in similar pandemics and that actigraphy be included as part of the sleep hygiene strategy.

Sleep quality and sleep patterns among recovered individuals during post-COVID-19 among Jordanian: A cross-sectional national study

This study aims to investigate sleep patterns and quality in patients who had SARS-CoV-2 (COVID-19) infection and to determine the sleep quality and pattern among patients. A cross-sectional design was used to assess sleeping patterns during the post-COVID-19 era for recovered individuals from April 1st, 2022, to June 1st, 2022. The participants had to meet the following requirements: both genders, ages 18 to 70, and previously infected with COVID-19. The prevalence of low sleep quality among the recovered individuals during post-COVID-19 era was 834 (40.6%), and the prevalence of disturbance in sleep quality was 1308 (63.6%). Lower economic status and younger ages in twenties and thirties experienced more disturbances in sleep patterns than other older ages. Many predictors were determined the quality of sleep. These predictors were age (B = .105, P = .00), income (B = .05, P = .035) and educational level (B = .20, P = .006). To sum up, our study found that the prevalence of low sleep quality among the recovered individuals during post-COVID-19 era was moderate, and the prevalence of disturbance in sleep quality was high. The predictors of quality of sleep were age, income, and educational level. Practitioners should be trained to evaluate and manage sleep disturbances, as this comprehensive approach has the potential to reduce mental distress and prevent the consequences of sleep disturbances.

Triglyceride-glucose index is associated with poor sleep quality in apparently healthy subjects: A cross-sectional study

Objective

We aimed to evaluate the association between the triglyceride glucose index (TyG index) and sleep quality and to establish a cut-off value for the TyG index based on the prevalence of subjects with insulin resistance (IR).

Methods

This cross-sectional study involved Brazilian health professionals (20-59 years). A total of 138 subjects answered the Pittsburgh Sleep Quality questionnaire to evaluate sleep quality. They were categorized into two groups: good sleep quality (global score ≤ 5 points) and poor sleep quality (global score ≥ 6 points). Also, we classified the subjects as having a high (>8.08 or >4.38) or low TyG index (≤ 8.08 or ≤4.38).

Results

The majority of the subjects (70%) with high TyG index values (>8.08 or >4.38) reported poor sleep quality (p ≤ 0.001). Those with poor sleep quality had a 1.44-fold higher prevalence of IR (TyG index >8.08 or >4.38) compared to those with good sleep quality, regardless of sex, total cholesterol, LDL/HDL ratio, insulin, complement C3, CRP, and adiponectin (p ≤ 0.001).

Conclusion

Our data showed a positive and significant association between the TyG index and poor sleep quality. Thus, these findings support the association between poor sleep quality and IR.

Investigating Physical Activity Habits and Sleep Disorders in the Nursing Staff of Greece During the COVID-19 Pandemic: A Multicenter Cross-Sectional Correlational Study

INTRODUCTION

The social isolation (lockdown) used worldwide as a measure to effectively prevent the infection of COVID-19 has been shown to be responsible for the high prevalence of depression, anxiety, insomnia, and post-traumatic stress symptoms. The aim of this study was to investigate the physical activity habits and sleep disorders in the nursing staff.

METHODOLOGY

This is a multicenter cross-sectional correlational study. The study population consisted of nurses and nursing assistants. Data were collected using the Greek version of the Pittsburgh Sleep Quality Index, the Fear of the COVID-19, and the Physical exercise questionnaire of the American College of Sports Medicine. Statistical analysis of data was done with IBM SPSS v. 22.0.

RESULTS

A total of 1710 nursing personnel aged 42.3 ± 9.1 years were included. At the beginning of the COVID-19 pandemic, 190 (11.1%) participants were physically active, and 2 years after the beginning of the COVID-19 pandemic, active were 130 (7.6%) participants. Both at the beginning and two years after the beginning of the pandemic, the sleep dimensions that scored higher were subjective sleep quality (1.98 ± 0.2 vs. 1.98 ± 0.3), sleep onset latency (1.89 ± 1.5 vs. 1.64 ± 1.6), and sleep duration (1.55 ± 0.9 vs. 1.65 ± 0.8). The total sleep score was 8.64 ± 3.1 at the beginning of the pandemic and 8.11 ± 3.7 two years after the beginning of the pandemic.

CONCLUSIONS

Nurses and nurses' assistants had less physical activity habits, slept less, and had more sleep disorders 2 years after the beginning of the pandemic in relation to the beginning of the pandemic.

Internet delivered, non-inferiority, two-arm, assessor-blinded intervention comparing mindfulness-based stress reduction and cognitive-behavioral treatment for insomnia: a protocol study for a randomized controlled trial for nursing staff with insomnia

BACKGROUND

Insomnia and poor sleep quality are highly prevalent conditions related to coronavirus disease 2019 (COVID-19) complications among clinical nurses. Although cognitive behavioral therapy for insomnia (CBT-I) is a first-line treatment, CBT-I suffers from several major drawbacks. This study investigates whether the application of the internet-delivered mindfulness-based stress reduction (iMBSR) intervention will produce effects that are non-inferior to the internet-delivered CBT-I (iCBT-I) intervention in reducing the severity of insomnia in clinical nurses with insomnia at the end of the study.

METHODS

This study protocol presents an internet-delivered, parallel-groups, assessor-blinded, two-arm, non-inferiority randomized controlled trial. The primary outcome is sleep quality, assessed by the Insomnia Severity Index. Secondary outcomes include depression, dysfunctional beliefs, five facets of mindfulness, and client satisfaction.

CONCLUSION

It is expected that this study may address several gaps in the literature. The non-inferiority study design is a novel approach to evaluating whether a standardized, complementary treatment (i.e., MBSR) is as practical as a gold standard treatment rather than its potential benefits. This approach may lead to expanded evidence-based practice and improve patient access to effective treatments.

TRIAL REGISTRATION

Trial registration number: ISRCTN36198096 . Registered on 24th May 2022.

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 (PSQI_gen) 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 PSQI_gen 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.

Sleep quality among workers in the health sector exposed to the COVID-19 pandemic

The ongoing pandemic of coronavirus disease (COVID-19) is a global health crisis that has posed enormous pressure on workers in the health sector (WHS), having a massive impact on their mental health. In this study, we aimed to evaluate the sleep quality of WHS during the pandemic and compare frontline WHS to those who are not directly engaged in the care of COVID-19 patients. This cross-sectional, self-reported online survey assessed the sleep quality of WHS in Austria using the Pittsburgh Sleep Quality Index (PSQI). The same questionnaire was sent out two times. Due to the unequal sample and anonymity of the study participants, we analyzed the data of each time point separate from each other. The first study was conducted in April/May 2020, during the first lockdown in Austria (Study1), and the second study was conducted in July/August 2020, when the social restrictions were loosened (Study2). T-test was used to compare the mean values of PSQI scores between frontline vs. non-frontline WHS, while two two-way ANCOVAs were used to analyze differences in the PSQI mean scores (controlled for age) for male vs. female between frontline vs. non-frontline WHS. During the first lockdown in Austria (Study1) we identified a shorter sleep duration of frontline WHS compared to the non-frontline group, however the difference in global PSQI score between these groups was statistically not significant. In the period after loosened restrictions (Study2) the sleep quality, sleep latency, sleep duration, sleep efficiency and global PSQI score was worse in frontline WHS compared to the non-frontline WHS. Furthermore, female WHS scored higher in the PSQI indicating a worse sleep than male WHS. In addition, nurses and nursing assistants had a higher prevalence of poor sleep quality than other occupational groups. Our results indicate that the COVID-19 pandemic negatively impacts the sleep of WHS, affecting particularly frontline WHS. Preventive interventions aiming to promote good sleep quality in WHS during a healthcare crisis like this pandemic are essential to enhance resilience and mitigate the vulnerability of this specific population.

The psychological impact, risk factors and coping strategies to COVID-19 pandemic on healthcare workers in the sub-Saharan Africa: a narrative review of existing literature

BACKGROUND

The ongoing COVID-19 pandemic has significantly impacted the physical and mental health of the general population worldwide, with healthcare workers at particular risk. The pandemic's effect on healthcare workers' mental well-being has been characterized by depression, anxiety, work-related stress, sleep disturbances, and post-traumatic stress disorder. Hence, protecting the mental well-being of healthcare workers (HCWs) is a considerable priority. This review aimed to determine risk factors for adverse mental health outcomes and protective or coping measures to mitigate the harmful effects of the COVID-19 crisis among HCWs in sub-Saharan Africa.

METHODS

We performed a literature search using PubMed, Google Scholar, Cochrane Library, and Embase for relevant materials. We obtained all articles published between March 2020 and April 2022 relevant to the subject of review and met pre-defined eligibility criteria. We selected 23 articles for initial screening and included 12 in the final review.

RESULT

A total of 5,323 participants in twelve studies, predominantly from Ethiopia (eight studies), one from Uganda, Cameroon, Mali, and Togo, fulfilled the eligibility criteria. Investigators found 16.3-71.9% of HCWs with depressive symptoms, 21.9-73.5% with anxiety symptoms, 15.5-63.7% experienced work-related stress symptoms, 12.4-77% experienced sleep disturbances, and 51.6-56.8% reported PTSD symptoms. Healthcare workers, working in emergency, intensive care units, pharmacies, and laboratories were at higher risk of adverse mental health impacts. HCWs had deep fear, anxious and stressed with the high transmission rate of the virus, high death rates, and lived in fear of infecting themselves and families. Other sources of fear and work-related stress were the lack of PPEs, availability of treatment and vaccines to protect themselves against the virus. HCWs faced stigma, abuse, financial problems, and lack of support from employers and communities.

CONCLUSION

The prevalence of depression, anxiety, insomnia, and PTSD in HCWs in sub-Saharan Africa during the COVID-19 pandemic has been high. Several organizational, community, and work-related challenges and interventions were identified, including improvement of workplace infrastructures, adoption of correct and shared infection control measures, provision of PPEs, social support, and implementation of resilience training programs. Setting up permanent multidisciplinary mental health teams at regional and national levels to deal with mental health and providing psychological support to HCWs, supported with long-term surveillance, are recommended.

Effects of COVID-19-related psychological distress and anxiety on quality of sleep and life in healthcare workers in Iran and three European countries

Introduction

The COVID-19 pandemic has considerably affected human beings most of whom are healthcare workers (HCWs) combating the disease in the front line.

Methods

This cross-sectional study aims to explore the effects of stress and anxiety caused by COVID-19 on the quality of sleep and life in HCWs, including physicians, nurses, and other healthcare staff. In this global study, we asked 1,210 HCWs (620 and 590 volunteers from Iran and European countries, including Germany, the Netherlands, and Italy, respectively), who age 21-70, to participate in the test. Several measures of COVID-related stress, anxiety, sleep, and life quality, including the 12-item General Health Questionnaire (GHQ-12), Fear of COVID-19 scale (FCV-19S), Beck Anxiety Inventory (BAI), the Pittsburgh Sleep Quality Index (PSQI), and World Health Organization Quality of Life-BREF (WHOQOL-BREF) are recorded.

Results

Volunteers reported high rates of stress and anxiety and poor sleep quality as well as lower quality of life. The correlation analysis between the measures is reported. According to the results, regardless of the location, HCWs, predominantly female nurses, developed anxiety and stress symptoms which consequently resulted in lower sleep and life quality. Both for Iranian and the European HCWs, significant differences existed between nurses and the other two groups, with the p-values equal to 0.0357 and 0.0429 for GHQ-12, 0.0368, and 0.714 for BAI measure. Even though nurses reported the most stress, anxiety, fear of COVID-19, lower quality of life and sleep in both countries, and also an increase in other measures as well, there existed no statistically significant difference in FCV-19S, PSQI, and WHOQOL-BREF.

Discussion

This study helps to expand our knowledge the effects of pandemics on HCWs and also for healthcare management to predict HCW's mental health conditions in similar situations.

Healthcare workers' heterogeneous mental-health responses to prolonging COVID-19 pandemic: a full year of monthly follow up in Finland

BACKGROUND

The COVID-19 pandemic strained healthcare workers but the individual challenges varied in relation to actual work and changes in work. We investigated changes in healthcare workers' mental health under prolonging COVID-19 pandemic conditions, and heterogeneity in the mental-health trajectories.

METHODS

A monthly survey over a full year was conducted for employees of the HUS Helsinki University Hospital (n = 4804) between 4th June 2020 to 28th May 2021. Pandemic-related potentially traumatic events (PTEs), work characteristics (e.g., contact to COVID-19 patients), local COVID-19 incidence, and demographic covariates were used to predict Mental Health Index-5 (MHI-5) and Insomnia Severity Index (ISI) in generalized multilevel and latent-class mixed model regressions.

RESULTS

Local COVID-19 log-incidence (odds ratio, OR = 1.21, with 95% CI = 1.10-1.60), directly caring for COVID-19 patients (OR = 1.33, CI = 1.10-1.60) and PTEs (OR = 4.57, CI = 3.85-5.43) were all independently associated with psychological distress, when (additionally) adjusting for age, sex, profession, and calendar time. Effects of COVID-19 incidence on mental health were dissociable from calendar time (i.e., evolved in time) whereas those on sleep were not. Latent mental-health trajectories were characterized by a large class of "stable mental health" (62% of employees) and minority classes for "early shock, improving" (14%) and "early resilience, deteriorating" mental health (24%). The minority classes, especially "early shock, improving", were more likely to live alone and be exposed to PTEs than the others.

CONCLUSIONS

Healthcare workers faced changing and heterogeneous mental-health challenges as the COVID-19 pandemic prolonged. Adversity and mental ill-being may have accumulated in some employees, and factors like living arrangements may have played a role. Knowledge on employees' demographic and socioeconomic background, as well as further research on the factors affecting employees' resilience, may help in maintaining healthy and efficient workforce in the face of a prolonging pandemic.

Pandeminin Gölgesinde Tıp Öğrencisi Olmak: Tıp Öğrencilerinin COVİD-19 Pandemisine Karşı Psikolojik Tepkileri ve Uzaktan Eğitim ile İlgili Görüşleri

Amaç: Bu çalışmada, preklinik dönem tıp öğrencilerinin COVİD-19 Pandemisine karşı psikolojik tepkilerinin ve öğrencilerin uzaktan eğitimle ilgili görüşlerinin araştırılması amaçlanmıştır. Metod: Gönüllü 722 öğrenci ile kesitsel bir çalışma yapıldı. Veriler 20-27 Aralık 2020 tarihleri arasında, çevrimiçi bir anket yolu ile toplandı. Veri toplama aracı olarak sosyodemografik bilgiler ve uzaktan eğitimle ilgili görüşlere yönelik bir soru formu ile Revize Olayların Etkisi Ölçeği ve Uykusuzluk Şiddeti ölçekleri kullanıldı. Bulgular: Katılımcıların yaş ortalaması 20.7±1.6 ve 393’ü (54.4%) kadındı. Öğrencilerin 699’u (96.8%) eğitimleri ile ilgili olarak kaygılanmakta, 181’i (25.1%) travma sonrası stress, 171’i (23.6%) uykusuzluk yaşamaktaydı. Travma sonrası stres olasılığı kadınlarda erkeklere göre (OR=1.489, 95% CI=1.02-2.16; p=0.038), COVİD-19’a yakalanan akrabası olanlarda olmayanlara göre (OR=1.489, 95% CI=1.02-2.16; p=0.038), yakınlarına COVİD-19 bulaşma korkusu fazla olanlarda az olan veya olmayanlara göre (OR=0.523, 95% CI=0.339-0.807; p=0.003), COVİD-19 ile ilgili haberleri sosyal medyadan takip edenlerde diğer kaynaklardan takip edenlere göre (OR=0.662, 95% CI=0.461-0.951; p

Evaluation of urban green space per capita with new remote sensing and geographic information system techniques and the importance of urban green space during the COVID-19 pandemic

A recently conducted study by the Centers for Disease Control and Prevention encouraged access to urban green space for the public over the prevalence of COVID-19 in that exposure to urban green space can positively affect the physical and mental health, including the reduction rate of heart disease, obesity, stress, stroke, and depression. COVID-19 has foregrounded the inadequacy of green space in populated cities. It has also highlighted the extant inequities so as to unequal access to urban green space both quantitatively and qualitatively. In this regard, it seems that one of the problems related to Malatya is the uncoordinated distribution of green space in different parts of the city. Therefore, knowing the quantity and quality of these spaces in each region can play an effective role in urban planning. The aim of the present study has been to evaluate urban green space per capita and to investigate its distribution based on the population of the districts of Battalgazi county in Malatya city through developing an integrated methodology (remote sensing and geographic information system). Accordingly, in Google Earth Engine by images of Sentinel-1 and PlanetScope satellites, it was calculated different indexes (NDVI, EVI, PSSR, GNDVI, and NDWI). The data set was prepared and then by combining different data, classification was performed according to support vector machine algorithm. From the landscaping maps obtained, the map was selected with the highest accuracy (overall accuracy: 94.43; and kappa coefficient: 90.5). Finally, by the obtained last map, the distribution of urban green space per capita and their functions in Battalgazi county and its districts were evaluated. The results of the study showed that the existing urban green spaces in the Battalgazi/Malatya were not distributed evenly on the basis of the districts. The per capita of urban green space is twenty-four regions which is more than 9m² and in twenty-three ones is less than 9m². The recommendation of this study was that Türkiye city planners and landscape designers should replan and redesign the quality and equal distribution of urban green spaces, especially during and following COVID-19 pandemic. Additionally, drawing on the Google Earth Engine cloud system, which has revolutionized GIS and remote sensing, is recommended to be used in land use land cover modeling. It is straightforward to access information and analyze them quickly in Google Earth Engine. The published codes in this study makes it possible to conduct further relevant studies.

Sleep and Professional Burnout in Nurses, Nursing Technicians, and Nursing Assistants During the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic may trigger sleep disorders and burnout in nursing professionals.

PURPOSE

This study was designed to describe the occurrence of sleep disorders and burnout in a nursing team during the COVID-19 pandemic and to identify the associated factors.

METHODS

A cross-sectional approach was used. The questionnaire was administered via the Internet. All of the participants were nursing professionals who had provided care during the COVID-19 pandemic, and data were collected between June and August 2020. Sociodemographic and work characterization instruments, the Jenkins Sleep Scale, and the Maslach Burnout Inventory were used.

RESULTS

Five hundred seventy-two nursing professionals (nurses, nursing technicians, and nursing assistants) responded. Slightly over one quarter (26.4%) presented a sleep disorder, and 17.3% presented burnout. Professional category was a factor found to be associated with having a sleep disorder. Moreover, a lower prevalence both of disorders and of starting to use sleep medication was found among nurses than nursing assistants. Moreover, an association was found between having a high level of emotional exhaustion burnout and being a nursing technician, having a higher number of patients needing care, and starting to use sleep medication. The level of burnout related to depersonalization was significantly higher for nursing assistants, those with a weekly workload of 50 hours or more, and those starting to use sleep medication. Furthermore, burnout related to personal accomplishment was significantly higher in those starting to use sleep medication. Among the participants with sleep disorders, according to Jenkins Sleep Scale results, all of the participants presented a high or moderate level of emotional exhaustion and a high level of burnout related to personal accomplishment.

CONCLUSIONS/IMPLICATIONS FOR PRACTICE

The findings indicate that the incidence of sleep disorders and burnout were high among nursing professionals during the COVID-19 pandemic and mainly related with starting to use sleep medication. The results demonstrate the importance of detecting and assessing the frequency of sleep disorders and professional exhaustion. Interventions that aim to improve sleep quality and working conditions for these professionals should be developed.

Sleep Disorders and Mental Stress of Healthcare Workers during the Two First Waves of COVID-19 Pandemic: Separate Analysis for Primary Care

Background: During the recent pandemic, Healthcare Professionals (HCPs) presented a significant prevalence of psychological health problems and sleep disturbances. The aim of this study was to assess the impact of COVID-19 on HCPs’ sleep and mental stress with a separate analysis for primary care HCPs. Methods: A cross-sectional observational study with an online anonymized, self-reported questionnaire was conducted in May 2020 (1st wave) and repeated in December 2020 (2nd wave). Patient health questionnaire-4 (PHQ-4), dimensions of anger reactions-5 (DAR-5) scale, 3-item UCLA loneliness scale (LS) and sleep condition indicator (SCI) were used. Results: Overall, 574 participants were included from the 1st wave, 514 from the 2nd and 469 were followed during both. Anxiety and depression were significantly higher during the 2nd wave vs. the 1st (32.8% vs. 12.7%, p < 0.001 and 37.7% vs. 15.8%, p < 0.001). During the 2nd wave, HCPs scored significantly higher in DAR-5 (9.23 ± 3.82 vs. 7.3 ± 3.3, p < 0.001) and LS (5.88 ± 1.90 vs. 4.9 ± 1.9, p < 0.001) with worse sleep quality SCI (23.7 ± 6.6 vs. 25.4 ± 3.2, p < 0.001). This was more evident in primary care HCPs. Significant correlations were found between SCI and PHQ4, DAR5 and LS. Conclusion: There is a need to support HCPs’ mental health and sleep, especially in those working in primary care.

'COVID-Somnia' in healthcare workers during the pandemic

OBJECTIVES

Sleep disorders associated with COVID-19 pandemic are termed as 'COVID-somnia.' In this study, we sought to assess the prevalence of COVID-somnia in healthcare workers, establish the factors that trigger this condition, and to investigate its relationship with anxiety and depression symptoms.

METHODS

This cross-sectional study was conducted between April 2021 and June 2021, and it included healthcare workers who served during the pandemic. Participants' demographic data, Beck Depression and Anxiety Inventories, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Insomnia Severity Index (ISI) were used, and the results were statistically analyzed. Multiple analyses of factors affecting ESS and ISI scores were evaluated using binary logistic regression model and PSQI score were analyzed using a multiple linear regression model.

RESULTS

A total of 1,111 healthcare workers who served during the pandemic voluntarily enrolled to the study. The mean age was 37.3 ± 8.48 years, and 63.5% were females. Our study showed that the healthcare workers, evaluated with the PSQI, experienced a deterioration of sleep quality. Primary factors affecting this are working on the front line, the presence of chronic diseases, depression, and anxiety. Regression analyses identified depression and anxiety as the common factors affecting ESS, ISI, and PSQI scores.

CONCLUSION

Raising awareness regarding COVID-somnia among healthcare workers, who play a leading role in curbing the pandemic, would reduce sleep disturbances, depression, and anxiety. It would also contribute to the planning and implementation of preventive and therapeutic mental health programs with a multidisciplinary approach.

Changes in the Work Schedule of Nurses Related to the COVID-19 Pandemic and Its Relationship with Sleep and Turnover Intention

Background: This study aimed to investigate whether different types of changes in the work schedule of nurses working rotating shifts during the COVID-19 pandemic were associated with sleep duration, sleep quality, and turnover intention. Methods: Cross-sectional questionnaire data from 694 nurses participating in the SUrvey of Shift work, Sleep and Health (SUSSH) were collected between the first and the second wave of the COVID-19 pandemic in Norway. A total of 89.9% were female, and mean age was 44.6 years (SD = 8.6 years). Changes in the shift work schedule related to the pandemic comprised reports of more long workdays (>8 h), less days off between work periods, more night shifts, more quick returns (i.e., 11 h or less between two consecutive shifts), more day shifts, and more evening shifts compared to no change in the respective shift characteristics. Change in sleep duration, sleep quality, and turnover intention as well as demographics were also assessed. Logistic regression analyses were performed to investigate whether changes in the specific work schedules were associated with sleep duration, sleep quality, and turnover intention, controlling for sex, age, cohabitation, children living in household, percentage of full time equivalent and other changes in the work schedule. Results: A total of 17% reported experiencing one or more changes in their work schedule during the pandemic. Experiencing any change in the work schedule predicted worse sleep quality (OR = 2.68, p < 0.001), reduced sleep duration (OR = 4.56, p < 0.001), and higher turnover intention (OR = 1.96, p = 0.006) compared to experiencing no change in work schedule. Among the specific changes in work schedules, experiencing an increase in quick returns had the highest odds ratio for worse sleep quality (OR = 10.34, p = 0.007) and higher turnover intention (OR = 8.49, p = 0.014) compared to those who reported no change in quick returns. Nurses experiencing an increase in long workdays were more likely to report higher turnover intention (OR = 4.37, p = 0.003) compared to those experiencing no change in long workdays. Conclusions: Change in work schedule related to the pandemic was associated with worse sleep quality, reduced sleep duration, and higher turnover intention. Increase in quick returns emerged as especially problematic in terms of sleep quality and turnover intention, along with long workdays, which were associated with higher turnover intention.

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.

The Impact of COVID-19 on the Physical Well-being of Nursing and Medical Personnel: An Integrative Review

Objective: To highlight the impact of responding to COVID-19 on the physical well-being of nursing and medical personnel. Method: This integrative literature review includes Spanish, English, and Portuguese articles. From July 10 to 16, 2020, the search was carried out in the Cumulative Index to Nursing and Allied Health Literature, Latin American and Caribbean Health Sciences Literature, Web of Science, SciVerse Scopus, and National Library of Medicine databases. Twenty-five studies were analyzed, and the results are presented descriptively and in tables. Results: Of the total number of articles, 52 % addressed coronavirus infection and related factors as an impact on nursing and medical personnel’s physical well-being resulting from responding to COVID-19, 28 % addressed sleep quality and predictors, and 20 % addressed damage stemming from the use of personal protective equipment or other preventive measures. Conclusions: Responding to COVID-19 has been conducive to coronavirus infection among personnel due to the work process and prevention measures, poor sleep quality due to mental disorders and lack of social support, and physical harm, such as headaches and skin injuries, due to the use of protective equipment and hand disinfection.

Anxiety and depressive symptoms among physicians during the COVID-19 pandemic in Bangladesh: a cross-sectional study

Objectives

In addition to risking their physical well-being, frontline physicians are enduring significant emotional burden both at work and home during the coronavirus disease 2019 (COVID-19) pandemic. This study aims to investigate the levels of anxiety and depressive symptoms and to identify associated factors among Bangladeshi physicians during the COVID-19 outbreak.

Methods and design

A cross-sectional study using an online survey following a convenience sampling technique was conducted between April 21 and May 10, 2020. Outcomes assessed included demographic questions, COVID-19 related questions, and the Hospital Anxiety and Depression Scale (HADS).

Results

The survey was completed by 412 Bangladeshi physicians. The findings revealed that, in terms of standardized HADS cut-off points, the prevalence of anxiety and depressive symptoms among physicians was 67.72% and 48.5% respectively. Risk factors for higher rates of anxiety or depressive symptoms were: being female, physicians who had experienced COVID-19 like symptoms during the pandemic, those who had not received incentives, those who used self-funded personal protective equipment (PPE), not received adequate training, lacking perceived self-efficacy to manage COVID-19 positive patients, greater perceived stress of being infected, fear of getting assaulted/humiliated, being more connected with social media, having lower income levels to support the family, feeling more agitated, less than 2 h of leisure activity per day and short sleep duration. All these factors were found to be positively associated with anxiety and depression in unadjusted and adjusted statistical models.

Conclusions

This study identifies a real concern about the prevalence of anxiety and depressive symptoms among Bangladeshi physicians and identifies several associated factors during the COVID-19 pandemic. Given the vulnerability of the physicians in this extraordinary period whilst they are putting their own lives at risk to help people infected by COVID-19, health authorities should address the psychological needs of medical staff and formulate effective strategies to support vital frontline health workers.

A machine learning approach to predict resilience and sickness absence in the healthcare workforce during the COVID-19 pandemic

During the COVID-19 pandemic, healthcare workers (HCWs) have faced unprecedented workloads and personal health risks leading to mental disorders and surges in sickness absence. Previous work has shown that interindividual differences in psychological resilience might explain why only some individuals are vulnerable to these consequences. However, no prognostic tools to predict individual HCW resilience during the pandemic have been developed. We deployed machine learning (ML) to predict psychological resilience during the pandemic. The models were trained in HCWs of the largest Finnish hospital, Helsinki University Hospital (HUS, N = 487), with a six-month follow-up, and prognostic generalizability was evaluated in two independent HCW validation samples (Social and Health Services in Kymenlaakso: Kymsote, N = 77 and the City of Helsinki, N = 322) with similar follow-ups never used for training the models. Using the most predictive items to predict future psychological resilience resulted in a balanced accuracy (BAC) of 72.7–74.3% in the HUS sample. Similar performances (BAC = 67–77%) were observed in the two independent validation samples. The models' predictions translated to a high probability of sickness absence during the pandemic. Our results provide the first evidence that ML techniques could be harnessed for the early detection of COVID-19-related distress among HCWs, thereby providing an avenue for potential targeted interventions.

Pandemics and the Impact on Physician Mental Health: A Systematic Review

Physician mental health is a major area of concern with physician burnout on the rise, while at the same time pandemics are becoming more frequent and serious in nature. This combination of physician burnout and pandemics has the potential for serious negative implications for physicians, patients, and health care organizations. Thus, we conduct a systematic review that examines the effect of pandemics on physician mental health using the burnout cascade as a framework. We identified 30 quantitative studies for inclusion. We find that Stages 4 and 5 of the burnout cascade are particularly troublesome with physicians experiencing high levels of anxiety and depression. Furthermore, we find in the degradation phase that physicians experience stigma which may intensify other negative effects. Physicians who are women, younger, and have less training are more susceptible to the negative effects of pandemics. We discuss overall implications and recommendations for future research.

The Public's Preferences for Psychological Interventions During the COVID-19 Pandemic: A Discrete Choice Experiment

Aims

To explore the public's preference for psychological interventions through a discrete choice experiment and to provide references for formulating psychological intervention policies and establishing psychological intervention procedures in response to public health emergencies.

Methods

This study is a discrete choice experiment. Attributes and levels were identified through literature reviews, in-depth interviews, focus group discussions, and expert consultations. Experimental design principles were applied to generate choice sets containing different attribute levels and develop a survey instrument. Convenience sampling was conducted nationwide, and 1,045 participants were investigated. A mixed logit model was used to evaluate the public's preferences.

Results

All attributes in our study were found to have a significant influence on the public's preferences for psychological interventions during the COVID-19 pandemic. The public's preferences for providers and duration were influenced by the public's levels of education and classifications. Furthermore, the most ideal scenario was found to be a one-on-one psychological intervention provided by family and friends through social network platforms, for which the frequency is twice per week, and the duration of each intervention is 0.5-1 h.

Conclusions

The public's preferences for psychological interventions during the COVID-19 pandemic are affected by the method, form, frequency, provider, and duration of interventions. Our findings provide references for the formulation of psychological intervention policies and the establishment of psychological intervention procedures in response to public health emergencies.

The effect of the COVID-19 pandemic on health care workers' anxiety levels: a meta-analysis

Background

The COVID-19 pandemic has been declared a public health emergency of international concern, causing excessive anxiety among health care workers. Additionally, publication bias and low-quality publications have become widespread, which can result in the dissemination of unreliable information. A meta-analysis was performed for this study with the following two aims: (1) to examine the prevalence of anxiety among health care workers and determine whether it has increased owing to the COVID-19 pandemic and (2) to investigate whether there has been an increase in publication bias.

Methods

All relevant studies published between 2015 and 2020 were searched in electronic databases (namely Web of Science, PubMed, Embase, PsycInfo, PsyArXiv, and medRxiv). The heterogeneity of the studies was assessed using the I 2 statistic. The effect size (prevalence rate of anxiety) and 95% CI for each study were also calculated. We used moderator analysis to test for the effect of the COVID-19 pandemic on health care workers' anxiety levels and to detect publication bias in COVID-19 studies. We assessed publication bias using funnel plots and Egger's regression.

Results

A total of 122 studies with 118,025 participants met the inclusion criteria. Eighty-eight articles (75,066 participants) were related to COVID-19, 13 articles (9,222 participants) were unrelated to COVID-19 (i.e., articles related to other outbreaks, which were excluded), and 21 preprints (33,737 participants) were related to COVID-19. The pooled meta-analysis prevalence was 33.6% (95% CI [30.5-36.8]; 95% PI [6.5-76.3]). Moderator analysis revealed no significant differences between articles related to COVID-19 and those unrelated to COVID-19 (p = 0.824). Moreover, no significant differences were found between articles and preprints related to COVID-19 (p = 0.843). Significant heterogeneity was observed in each subgroup. An Egger's test revealed publication bias in both articles and preprints related to COVID-19 (p < 0.001).

Conclusions

Determining whether the anxiety state of health care workers is altered by the COVID-19 pandemic is currently difficult. However, there is evidence that their anxiety levels may always be high, which suggests that more attention should be paid to their mental health. Furthermore, we found a substantial publication bias; however, the quality of the studies was relatively stable and reliable.

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.

Healthcare Worker Mental Health After the Initial Peak of the COVID-19 Pandemic: a US Medical Center Cross-Sectional Survey

BACKGROUND

There is a paucity of data on the mental health impact of the Coronavirus disease 2019 (COVID-19) pandemic on United States (US) healthcare workers (HCWs) after the first surge in the spring of 2020.

OBJECTIVE

To determine the impact of the pandemic on HCWs, and the relationship between HCW mental health and demographics, occupational factors, and COVID-19 concerns.

DESIGN

Cross-sectional survey in an urban medical center (September-November 2020) in Baltimore, MD, in the United States.

PARTICIPANTS

A total of 605 HCWs (physicians, nurse practitioners, nurses, physician assistants, patient care technicians, respiratory therapists, social workers, mental health therapists, and case managers).

MAIN MEASURES

Measures of mental health (Patient Health Questionnaire-2, Generalized Anxiety Disorder-7, PROMIS Sleep Disturbance 4a, Impact of Event Scale-Revised, Maslach Burnout Inventory-2 item, Connor-Davidson Resilience Scale-2 item), demographics, occupational factors, and COVID-19 related concerns.

KEY RESULTS

Fifty-two percent of 1198 HCWs responded to the survey and 14.2% reported depression, 43.1% mild or higher anxiety, 31.6% sleep disturbance, 22.3% posttraumatic stress symptoms, 21.6% depersonalization, 46.0% emotional exhaustion, and 23.1% lower resilience. Relative to HCWs providing in-person care to COVID-19 infected patients none of their working days, those doing so all or most days were more likely to experience worse depression (adjusted odds ratio, 3.9; 95% CI, 1.3-11.7), anxiety (aOR, 3.0; 95% CI, 1.4-6.3), possible PTSD symptoms (aOR, 2.6; 95% CI, 1.1-5.8), and higher burnout (aOR, 2.6; 95% CI, 1.1-6.0). Worse mental health in several domains was associated with higher health fear (aORs ranged from 2.2 to 5.0), job stressors (aORs ranged from 1.9 to 4.0), perceived social stigma/avoidance (aORs ranged from 1.8 to 2.9), and workplace safety concerns (aORs ranged from 1.8 to 2.8).

CONCLUSIONS

US HCWs experienced significant mental health symptoms eight months into the pandemic. More time spent providing in-person care to COVID-19-infected patients and greater COVID-19-related concerns were consistently associated with worse mental health.

Sleep disorders and mental health in hospital workers during the COVID-19 pandemic: a cross-sectional multicenter study in Northern Italy

INTRODUCTION

From the beginning of the COVID-19 pandemic, healthcare workers had to face unprecedented emergency needs associated with an extraordinary amount of psychological distress. In this cross-sectional multicenter study, we investigated sleep disturbances, and the level of anxiety and depression among the healthcare and non-healthcare staff of three hospitals in Milan (Italy) during the COVID-19 outbreak. Moreover, we explored potential predisposing factors for affective symptoms and poor sleep.

METHODS

Between June and July 2020, we administered an online questionnaire to evaluate the presence of sleep disorders (Pittsburgh Sleep Quality Index), insomnia (Sleep Condition Indicator), anxiety (State Trait Anxiety Inventory), and depression (Beck Depression Inventory-II). We used univariate and multivariate analysis to evaluate the association between the personal conditions and sleep and affective disorders.

RESULTS

The 964 participants reported high rates of sleep disorders (80.3%)-mainly insomnia (30.5%)-anxiety (69.7%), and depression (32.8%). The multivariate analysis showed a strong association of sleep disorders, especially insomnia, with female gender (p = 0.004), divorced marital status (p = 0.015), self-isolation (p = 0.037), and chronic diseases (p = 0.003). Anxiety was significantly associated with teleworking (p = 0.001), while depressive symptoms were associated with self-isolation (p = 0.028), modified work schedules (p = 0.03), and chronic diseases (p = 0.027).

CONCLUSION

In hospital workers, the high prevalence of sleep and psychiatric symptoms during the COVID-19 outbreak appears to be determined mainly by modifications of personal or work habits. Teleworking was associated with increased anxiety. An accurate planning of hospital activities and a psychological support are needed to prevent and manage sleep and mental disorders.

Children and adolescents' sleep patterns and their associations with mental health during the COVID-19 pandemic in Shanghai, China

BACKGROUND

School closures and home confinement due to the ongoing COVID-19 pandemic may lead to disrupted sleep patterns. Consequently, it could increase the risk of children and adolescents' mental health disorders.

METHODS

In this prospective study, we randomly selected ten schools in Shanghai and conducted cluster sampling of students from each school. The first wave of the survey was conducted between January 3 and 21, 2020. Approximately two months after the COVID-19 outbreak declared, a second wave of the survey was conducted. In total, 2427 individuals were surveyed in both waves using the same sampling method. Participants' mental health status (depression, anxiety and stress), sleep patterns and other demographic information were measured in both waves. Multivariate regression analysis was used to examine the associations between sleep patterns and mental health status.

RESULTS

During the COVID-19 pandemic, a total of 873 participants (19.9%), 1100 participants (25.1%), and 670 participants (15.3%) reported depression, anxiety, and stress symptoms, respectively. Significant changes of both sleep duration and sleep-wake cycle patterns were observed before and during the COVID-19 pandemic. Moreover, shorter sleep duration and late to rise patterns (including early to bed late to rise and late to bed late to rise) were found to be associated with higher odds of having mental illnesses during the pandemic.

CONCLUSION

These results suggest there is a pressing need to monitor children's and adolescents' health behavior and mental health and develop timely evidence-based strategies and interventions to mitigate adverse behavioral and psychological impacts caused by these unprecedented challenges.

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.

Proximity to COVID-19 patients and role-specific mental health outcomes of healthcare professionals

BACKGROUND

Healthcare professionals (HCPs) experience extreme hardships and challenges during the time of COVID-19, due to their professional roles. At the same time, HCPs may experience a feeling of importance as contributing members of the community, which could enhance their well-being alongside COVID-19-work-related stressors.

AIMS

This cross-sectional study examined the relationship between HCPs' proximity to COVID-19 patients and role-specific fears of COVID-19 and sense of emotional, social and psychological well-being.

METHODS

Participants (N = 1,378) included: HCPs who treated COVID-19 patients (frontliners, n = 188), HCPs that did not work directly with COVID-19 patients (secondliners, n = 524), and a group of non-HCPs who served as the comparison group (n = 666). Participants completed the Depression and Anxiety Stress Scale-21; Fear of COVID-19 Scale; Fear of COVID-19 Familial Infection Scale; and the Mental Health Continuum Short-Form.

RESULTS

Results indicate that the comparison group reported higher levels of fear of COVID-19 compared to secondliners, while frontliners reported the highest levels of fear of infecting their families. Frontliners and secondliners HCPs reported significantly higher levels of social and psychological well-being compared to the non-HCP group.

CONCLUSIONS

This study indicates that there are role-specific mental health outcomes related to HCP's proximity to COVID-19 patients.

Insomnia and sleep duration on COVID-19 susceptibility and hospitalization: A Mendelian randomization study

Background

Sleep disturbance including insomnia and sleep duration is associated with an increased risk of infectious. With the ongoing coronavirus disease 2019 (COVID-19) pandemic, it is important to explore potential causal associations of sleep disturbance on COVID-19 susceptibility and hospitalization.

Method

Insomnia and sleep duration were selected as exposure. Outcomes included susceptibility and hospitalization for COVID-19. Two sample mendelian randomization design was used to assess causality between sleep and COVID-19. Inverse variance weighted method was used as main analysis method to combine the ratio estimates for each instrumental variable to obtain the causal effect. Cochran's Q statistic was used to test for global heterogeneity. MR-Egger and weighting median estimator (WME) were used as sensitivity analysis to ensure the stability and reliability of the results. MR-Egger intercept term was used to test the mean pleiotropy. In addition, the direct effects of insomnia and sleep duration on COVID-19 susceptibility and hospitalization were estimated using multivariable mendelian randomization (MVMR).

Results

Univariate MR provided no evidence of a causal associations of insomnia on COVID-19 susceptibility (OR = 1.10, 95% CI:0.95, 1.27; p = 0.21) and hospitalization (OR = 0.61, 95% CI:0.40, 0.92; p = 0.02); as does sleep duration (OR_{COIVD - 19susceptibility} = 0.93, 95% CI:0.86, 1.01; p = 0.07; OR_{COIVD - 19 hospitalization} = 1.21, 95% CI: 0.99, 1.47; p = 0.08). MVMR results showed that insomnia may be a risk factor for increased susceptibility to COVID-19 (OR = 1.65, 95% CI: 1.34, 2.05; p <0.001); and sleep duration was also associated with increased COVID-19 susceptibility (OR = 1.31, 95% CI: 1.18, 1.46; p < 0.001).

Conclusion

Insomnia and extreme sleep duration may risk factors for increased COVID-19 susceptibility. Relieving insomnia and maintaining normal sleep duration may be powerful measures to reduce COVID-19 infections.

Sleep Difficulties Among COVID-19 Frontline Healthcare Workers

OBJECTIVE

To identify COVID-19 work-related stressors and experiences associated with sleep difficulties in HCW, and to assess the role of depression and traumatic stress in this association.

METHODS

A cross-sectional study of HCW using self-report questionnaires, during the first peak of the pandemic in Israel (April 2020), conducted in a large tertiary medical center in Israel. Study population included 189 physicians and nurses working in designated COVID-19 wards and a comparison group of 643 HCW. Mean age of the total sample was 41.7 ± 11.1, 67% were female, 42.1% physicians, with overall mean number of years of professional experience 14.2 ± 20. The exposure was working in COVID-19 wards and related specific stressors and negative experiences. Primary outcome measurement was the Insomnia Severity Index (ISI). Secondary outcomes included the Primary Care-Post Traumatic Stress Disorder Screen (PC-PTSD-5); the Patient Health Questionnaire-9 (PHQ-9) for depression; the anxiety module of the Patient-Reported Outcomes Measurement Information System (PROMIS); Pandemic-Related Stress Factors (PRSF) and witnessing patient suffering and death.

RESULTS

Compared with non-COVID-19 HCW, COVID-19 HCW were more likely to be male (41.3% vs. 30.7%) and younger (36.91 ± 8.81 vs. 43.14 ± 11.35 years). COVID-19 HCW reported higher prevalence of sleep difficulties: 63% vs. 50.7% in the non-COVID group (OR 1.62, 95% CI 1.15-2.29, p = 0.006), mostly difficulty maintaining sleep: 26.5% vs. 18.5% (OR 1.65, 95% CI 1.11-2.44, p = 0.012). Negative COVID-19 work-related experiences, specifically witnessing patient physical suffering and death, partially explained the association. Although past psychological problems and current depression and PTSD were associated with difficulty maintaining sleep, the main association remained robust also after controlling for those conditions in the full model.

CONCLUSION AND RELEVANCE

COVID-19 frontline HCW were more likely to report sleep difficulties, mainly difficulty maintaining sleep, as compared with non-COVID-19 HCW working at the same hospital. Negative patient-care related experiences likely mediated the increased probability for those difficulties. Future research is needed to elucidate the long-term trajectories of sleep difficulties among HCW during large scale outbreaks, and to identify risk factors for their persistence.

Depression, Anxiety and Sleep Disturbance in Primary Health Care Workers During the COVID-19 Pandemic

Aim: In Turkey, family physicians and family health nurses are among the groups fighting COVID-19 on the frontline. This study was aimed to determine depression, anxiety, and sleep disorders and related factor during the COVID-19 pandemic in FPs and FHNs working in Rize. Methods: Single-centered, a cross-sectional web-based survey study was conducted between July 21-31, 2020 in Rize, Turkey. Demographic characteristics and information related to the COVID-19 pandemic were collected from primary health care workers and depression, anxiety, and sleep quality were evaluated by Beck Depression Inventory, Beck Anxiety Inventory, and Pittsburgh Sleep Quality Index, respectively. A total of 109 primary health care workers were included in the study. Results: While 48 (44%) of the primary health care workers had at least mild depressive symptoms, 46 (42.2%) had the least mild anxiety symptoms. Sleep disturbance was also found in 48 (44%) of them. The frequency of psychological symptoms was higher in women, nurses, and those who thought that their protective equipment was insufficient. Sleep disturbances were more common in primary health care workers with psychiatric illness and who suspect they have had COVID-19 at any time. Conclusion: Primary health care workers had a high rate of depression, anxiety, and sleep disorders. It would be beneficial to make special interventions to promote mental health for primary health care workers, who are among the frontline groups in the fight against COVID-19. Keywords: anxiety, COVID-19, depression, health care worker, sleep disorders

Occupational Stress and Mental Health Among Healthcare Workers Serving Socially Vulnerable Populations During the COVID-19 Pandemic

The purpose of this study was to analyze occupational and personal stressors, mental health indicators, perceived discrimination and help-seeking behaviors among healthcare workers and providers (HCWPs) serving socially vulnerable groups such as immigrants, refugees, farmworkers, homeless individuals, people living in poverty, and other disadvantaged populations in the United States (U.S.) during the COVID-19 pandemic. Using a cross-sectional descriptive approach, we gathered information between July and September 2020, from a sample of 407 affiliates of two national organizations of clinic-based HCWPs who worked at federally funded and community safety-net clinics. Informed consent was obtained from all participants who completed a self-administered online survey available in English and Spanish. Our results indicated that the HCWPs serving vulnerable groups in the midst of the pandemic experienced high levels of occupational and personal stressors as well as anxiety and depressive symptomology. Major occupational stressors were excessive workload, long working-hours, and institutional barriers to refer and follow-up on their clients' access to needed social services. High-rated personal stressors included sleep disorders, lack of and child-care, partner's loosing job, and other family related situations. Our findings suggest that HCWPs working with vulnerable populations need specialized interventions that bolster their mental health and well-being as the pandemic continues to unfold. We recommend implementing initiatives that encourage HCWPs' to be actively involved in clinic decisions regarding employee safety and protection as well as in management decisions to improve work place infrastructure and capacity to respond to the social needs of their clients. Lessons learned from the pandemic are useful tools in designing protocols for addressing the mental-health needs of HCWPs in health-care organizations that attend to socially underprivileged populations.

Sleep Duration as the Main Indicator of Self-Rated Wellness and Health among Healthcare Workers Involved in the COVID-19 Pandemic

Objective: This study was performed during the COVID-19 pandemic to better understand the indicators of self-rated wellness and health among healthcare workers. Methods: Sleep pattern, mood status, nutritional condition, physical activity, habits and the subjective wellness and health index of the healthcare workers of a university affiliated hospital were surveyed. Paired t-tests were performed to compare the participants’ quality of life before and after the outbreak of COVID-19. Multivariable linear regression models with a backward elimination stepwise process determined the parameters that significantly correlated with self-reported wellness and health. Results: Of the 200 healthcare workers who participated in this study, 119 (60%) were female and 81 (40%) were male, with a mean (SD) age of 28.8 (5.9) years. We found that the COVID-19 pandemic significantly changed many lifestyle factors compared to the pre-pandemic states. The scores of sleep quality, mood status, pre-planned physical activity and social activity were reduced by 30%, 40%, 50% and 70%, respectively. The average night sleep duration before the pandemic was 7 h and 22 min, whereas during the pandemic it decreased to 6 h and 44 min, a debt of 38 min in sleep duration every night. As found by multivariable regression modelling, self-reported wellness and health before the pandemic period was associated with wake-up time, mood status, physical activity and diet. During the pandemic period, in addition to these variables, night sleep duration (β = 0.049, p = 0.049) and nap duration (β = 0.009, p = 0.01) were left in the final multivariable model and correlated significantly with the wellness and health index. Conclusion: COVID-19 has detrimentally affected healthcare workers’ well-being and quality of life. Sleep duration was the main factor correlated with subjective wellness and health index during the current COVID-19 pandemic.

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.

Republication : Impact de la pandémie COVID-19 sur le sommeil du personnel soignant

La pandémie liée à la COVID-19 a altéré de manière significative et importante la qualité du sommeil du personnel soignant.

Avec des différences selon le questionnaire utilisé, la spécialité du professionnel, et le pays étudié, environ la moitié des soignants ont développé des troubles du sommeil lors de cette crise sanitaire.

Les troubles du sommeil étaient marqués principalement par des symptômes d’insomnie, une mauvaise qualité du sommeil, un temps total de sommeil réduit, et des cauchemars fréquents.

Les altérations du sommeil affectaient à la fois les soignants de première et de seconde ligne au cours de la pandémie liée à la COVID.

Les études évaluant le sommeil des soignants confirment l’importance de diffuser les recommandations publiées par les experts du sommeil.

Anxiety and depression among medical doctors in Catalonia, Italy, and the UK during the COVID-19 pandemic

Healthcare workers have had the longest and most direct exposure to COVID-19 and consequently may suffer from poor mental health. We conducted one of the first repeated multi-country analysis of the mental wellbeing of medical doctors (n = 5,275) at two timepoints during the COVID-19 pandemic (June 2020 and November/December 2020) to understand the prevalence of anxiety and depression, as well as associated risk factors. Rates of anxiety and depression were highest in Italy (24.6% and 20.1%, June 2020), second highest in Catalonia (15.9% and 17.4%, June 2020), and lowest in the UK (11.7% and 13.7%, June 2020). Across all countries, higher risk of anxiety and depression symptoms were found among women, individuals below 60 years old, those feeling vulnerable/exposed at work, and those reporting normal/below-normal health. We did not find systematic differences in mental health measures between the two rounds of data collection, hence we cannot discard that the mental health repercussions of the pandemic are persistent.