The examination of sleep quality for frontline healthcare workers during the outbreak of COVID-19

The Impact of Morning Meditation and Sleep Quality on Affective and Health Outcomes in Healthcare Workers

BACKGROUND

Health is a critical factor influencing key workplace outcomes, including job attitudes, behaviors, and performance. This study investigated the role of daily micro-breaks, specifically morning meditation practices, and positive affective experiences (i.e., positive affect) at work in predicting health-related outcomes, namely vitality and mental health. Using a non-experimental design, this study tested a moderated mediation model in which sleep quality moderates the relationship between morning meditation and positive affect, which, in turn, predicts end-of-the-day health-related outcomes.

METHODOLOGY

Data were collected twice a day from 44 healthcare employees over five consecutive workdays using a daily survey approach.

KEY RESULTS

Multilevel modeling analyses revealed that morning meditation was significantly associated with increased positive affect and improved health indicators at the end of the workday. Moreover, sleep quality moderated the relationship between morning meditation and positive affect, such that the conditional indirect effect of meditation on end-of-day mental health and vitality via positive affect was significant when sleep quality from the preceding night was poor.

CONCLUSIONS

These findings underscore the interactive effect of prior-night sleep quality and morning meditation on affective and health-related outcomes by the end of the day. By identifying sleep quality as a key boundary condition, we contribute to a more nuanced understanding of when meditation is most beneficial. Our findings have significant implications for both research and practice, particularly in high-stress environments such as healthcare, where optimizing employee well-being is crucial for both individual and organizational performance.

Cognitive risk and behaviour related to the effects of mobile phone use on sleep quality: an analysis of data from Chinese college students

This study assessed the relationships among cognitive risk, phone use behaviors, and sleep quality. We used a questionnaire, which included the Pittsburgh Sleep Quality Index (PSQI), mobile phone use behaviours, and questionnaires on mobile phone use cognitive risk to gather information from 1204 college students. T-test, chi-square test, and Wilcoxon signed rank test were applied to test differences in measurement data. Generalized linear regression analysis was used to analyze the factors influencing sleep quality. The percentage of people with poor sleep quality significantly increased during COVID-19, with a significant increase in sleep latency and diurnal dysfunction and a significant decrease in sleep persistence, sleep disturbance, and sleep efficiency. The PSQI scores significantly decreased during the COVID-19 pandemic (0.27 and 0.34 for overall and females in the 'Often take a break' subgroup), only females in the 'Often increase the distance between the screen and the eyes' subgroup had a significant decrease in the PSQI score (0.37). Bedtime use and bedtime light use in females significantly increased during the epidemic. Regression analysis revealed that rest or increased screen distance significantly improved sleep quality compared to rarely rest or rarely increased screen distance and had a more significant effect on sleep quality during the COVID-19 pandemic compared to before. The time spent using a phone with lights off before bedtime was significantly associated with poor sleep quality. Often resting, increasing the distance between the screen and the eyes, reducing phone use time, and reducing the time of lights off when using mobile phones are all protective factors for sleep quality. Females were more often affected by poor sleep quality.

Insomnia during the COVID-19 pandemic: prevalence and correlates in a multi-ethnic population Singapore

BACKGROUND

Globally, the Coronavirus disease 2019 (COVID-19) pandemic had a significant impact on mental health. Sudden lifestyle changes, threatening information received through various sources, fear of infection and other stressors led to sleep disturbances such as insomnia. The current study aimed to assess the prevalence of insomnia and its associated risk factors during the first wave of COVID-19 pandemic among Singapore residents.

METHODS

A cross-sectional study conducted online and in person, from May 2020 to June 2021, recruited Singapore citizens and permanent residents, aged 21 years and above, fluent in English, Chinese or Malay language. Respondents answered an interviewer-administered questionnaire, including Insomnia Severity Index (ISI), Generalised Anxiety Disorder-7 (GAD-7), Physical Health Questionnaire (PHQ-9), stress scale of the Depression, Anxiety and Stress Scales (DASS), chronic conditions checklist and COVID-19 related stressors (exposure to COVID-19, current and future perceived risk of infection). Chi-squared test followed by stepwise logistic regression analysis were conducted to determine factors associated with insomnia.

RESULTS

The study recruited 1129 respondents. Prevalence of insomnia was noted to be 7.4% in the sample. Insomnia was significantly associated with psychological distress- depression (p < 0.001) and anxiety (p < 0.001), financial loss as a source of stress (p < 0.012), ever been diagnosed with asthma (p < 0.001) and backache (p < 0.002).

CONCLUSION

Insomnia was prevalent and associated with higher level of psychological distress among Singapore residents. These findings can be utilised to design effective targeted interventions like cognitive behavioural therapy, therapist assisted relaxation and meditation programs to improve sleep and reduce psychological distress. Interventions like these can be delivered via smartphone applications enabling easy access, delivery, and utilization by the vulnerable groups. Overall, these strategies would not only help people maintain better mental health and sleep quality during a pandemic but also build resilience, enhancing society's ability to cope with future crises.

Psychosocial Risk Factors at Work and Sleep Quality in Healthcare Workers - A Cross-Sectional Study

Objective  To investigate psychosocial factors at work, sleep characteristics, and the correlation between these aspects in healthcare workers. Material and methods  A cross-sectional e-survey study was conducted with 125 workers of the Brazilian healthcare system, mostly from the Southeast region, from June 2021 to April 2022. Self-administered questionnaires in Google Forms were used to collect data on personal and occupational characteristics, psychosocial factors (Copenhagen Psychosocial Questionnaire), and sleep quality (Pittsburg Sleep Quality Index). Descriptive statistics and a point biserial correlation test were performed. Results  The most reported factors in the risk zone were burnout (86%), stress (81%), emotional demands (75%), work pace (61%), and work-family conflicts (55%). Most participants were classified as poor sleepers (74%), especially nursing technicians/assistants (86%). Burnout (r pb  = 0.33) and inadequate predictability (r pb  = 0.30) were associated with poor sleep quality. Conclusion  Intervention strategies to decrease burnout and increase predictability at work may assist in improving sleep quality among healthcare workers.

Factors Associated with Stress among Healthcare Personnel after COVID-19 in Northeast Thailand: A Cross-sectional Study

Background

The coronavirus disease (COVID-19) has affected people psychologically worldwide, particularly healthcare personnel. Even though the COVID-19 pandemic situation has eased, healthcare personnel must still perform their duties, which has resulted in psychological impacts, particularly stress.

Objectives

This study aimed to examine the risk factors associated with stress among healthcare personnel post-COVID-19 pandemic in northeast Thailand.

Methods

A cross-sectional analytic design was conducted from January to April 2023. One thousand and three hundred healthcare workers were selected from primary, secondary, and tertiary hospitals across 16 districts within Chaiyaphum province. The questionnaires were used to collect data, and the stress test 5 (ST-5) questionnaire was used to investigate stress among healthcare personnel.

Results

The overall stress rate for healthcare workers was 15.47%, including very severe (8.85%) and severe (6.62%). The factors associated with stress consisted of work position, environment of work, personal life such as education level and income, and responsibility for taking care of family members, in addition to experiencing quarantine from COVID-19 were more likely to have a high risk of stress problems among healthcare workers.

Conclusion

This result highlighted that the mental health of personnel should be in critical situations, and those found severely afflicted should undergo professional care. To prevent psychological issues, particularly stress, health organizations should be concerned with strong organizational management, which includes supporting bonuses and providing high-quality personal protective equipment (PPE) to healthcare staff.

Factors associated with sleep quality among Afghan healthcare workers

Background and Aims

Sleep is a complex physiological process during which the body and mind enter a period of rest. For a healthy lifestyle, different cohort groups can be affected in different ways. One such cohort is healthcare workers (HCWs)-an unexplored group in Afghanistan. Therefore, the present study examined the association between a range of sociodemographic factors including having night shift work and sleep quality among Afghan HCWs.

Methods

A cross-sectional survey was administered in January 2023 among HCWs (N = 342) in the Herat province of Afghanistan. The survey examined sleep quality and its association with a range of sociodemographic factors among HCWs. Logistic regression models were used to examine the association of sleep quality with sociodemographic characteristics among HCWs. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality among HCWs.

Results

A total of 342 HCWs participated in the present study with an age range of 18 to 60 years. The mean age of the participants was 28.90 years (SD ± 8.10). Just over half of the participants were male (50.3%). Of the 342 participants, 58.5% reported poor sleep quality. Being married status, having higher number of children, not being a doctor, having low economic status, working night shifts, and having a traumatic event occur during past month were among the main variables associated with sleep quality among Afghan HCWs. Multiple regression analysis indicated that having high income [negatively] (AOR = 4.132, p = 0.002), working night shifts [positively] (AOR = 0.288, p < 0.001), and having a traumatic event occur during past month [positively] (AOR = 0.504, p = 0.007) were significantly associated with sleep quality.

Conclusion

The study suggests the need for Afghan health employers to create a healthy work environment that prioritizes the well-being of their employees by limiting overtime hours, providing rest breaks during long shifts, and ensuring that HCWs have access to necessary resources for coping with work-related stressors. These policies would promote the overall health and well-being of the workforce and would likely lead to better patient care outcomes.

Characteristics of Sleep Disturbance and Comparison Across Three Waves of the COVID-19 Pandemic Among Healthcare Workers

OBJECTIVE

Healthcare workers (HCWs) suffered from a heavy mental health burden during the coronavirus disease-2019 (COVID-19) pandemic. We aimed to explore the differences in sleep disturbance in three waves of the COVID-19 pandemic in Taiwan among HCWs. Moreover, factors associated with sleep disturbances in the third wave were investigated.

METHODS

This study, with three waves of cross-sectional surveys, recruited first-line and second-line HCWs. The level of sleep disturbance and related demographic variables were collected through self-report questionnaires. Differences in sleep disturbance across the three waves were compared with analysis of variance. Factors associated with the level of sleep disturbance were identified using univariate linear regression and further used for multivariate stepwise and bootstrap linear regression to identify the independent predictors.

RESULTS

In total, 711, 560, and 747 HCWs were included in the first, second, and third waves, respectively. For first-line HCWs, sleep disturbance was significantly higher in the third wave than in the first wave. The level of sleep disturbance gradually increased across the three waves for all HCWs. In addition, sleep disturbance was associated with depression, posttraumatic stress disorder (PTSD) symptoms, anxiety about COVID-19, vaccine mistrust, and poorer physical and mental health among first-line HCWs. Among second-line HCWs, sleep disturbance was associated with younger age, depression, PTSD symptoms, lower preference for natural immunity, and poorer physical health.

CONCLUSION

The current study identified an increase in sleep disturbance and several predictors among HCWs. Further investigation is warranted to extend the application and generalizability of the current study.

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 related factors among healthcare workers in designated quarantine hospital site in post-pandemic based on the health ecological model: a cross-sectional study in Nanjing, China

AIMS

This study aims to assess the status and related factors among healthcare workers (HCWs) in designated quarantine-hospital-site (DQHS) based on the model of health ecology.

METHODS

The cross-sectional study was conducted from April to May, 2022, which included 351 valid samples. We measured sleep quality using the Pittsburgh Sleep Quality Index, which encompasses seven dimensions: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction. Each dimension is scored individually, contributing to an overall sleep quality score. Factors associated with the sleep quality of HCWs in DQHS were divided into individual, behavioral, interpersonal and social dimensions. Hierarchical linear regressions were conducted to identify the potential factors associated with sleep quality among HCWs in DQHS.

RESULTS

HCWs in DQHS had a statistically higher sleep quality than the Chinese national norm. HCWs who were female, afraid of Coronavirus disease, had more negative emotions, frequently worked overtime, were married, and had a higher income were more likely to experience worse sleep quality (p < 0.05), while those who worked between 51 and 70 h weekly, treated over 10 patients daily, and engaged in more health behaviors may have better sleep quality (p < 0.05).

CONCLUSION

This study revealed a worrying level of sleep quality among HCWs in DQHS. The government, hospital managers, and families should collaborate to ensure the sleep quality of HCWs in DQHS.

Death Anxiety and WellBeing in Doctors During COVID-19: The Explanatory and Boosting Roles of Sleep Quality and Work Locality

The COVID-19 pandemic, a global public health crisis, has triggered anxiety and fear of death in general public and particularly among health professionals. This study aimed to assess the direct and mediated associations between death anxiety, sleep quality, and subjective wellbeing in doctors working during the pandemic. A secondary aim was tested to analyze the interactive role of workplace locality in these associations. An indirect-effect model was tested on a sample of 244 doctors working during the pandemic. Findings revealed that the association between death anxiety and subjective wellbeing was mediated through sleep quality. Furthermore, death anxiety significantly and negatively predicted subjective wellbeing in doctors working in rural setups compared to those working in urban setups. The theoretical and practical implications of the findings are discussed.

Factors Associated With Poor Sleep Quality Among Primary Healthcare Workers During the SARS-CoV-2 Pandemic

INTRODUCTION

Sleep is one of the most important activities for health and the processes related to the central nervous system. Healthcare workers commonly present alterations in the sleep-wake cycle due to complex work schedules because 24-hour attention to the population is required in public health institutions. The increase in care needs caused by the COVID-19 pandemic caused changes in work schedules; as in Mexico, the number of patients requiring consultation in all public health units increased. Chronic partial sleep deprivation (< 7 hours of sleep in the 24-hour cycle) is the most frequent sleep alteration in Mexican health workers. However, it has not been explored whether work modifications due to the pandemic had an impact on the sleep quality of workers.

OBJECTIVE

We aimed to describe the prevalence of poor sleep quality and the associated factors in workers (clinical and non-clinical) of a primary care medical unit.

MATERIAL AND METHODS

We conducted an analytical and cross-sectional study during November and December 2022. We used the following tools for studying clinical and non-clinical staff working at a family medicine primary care unit: Pittsburgh Sleep Quality Index, Hamilton Anxiety Scale, Beck Depression Inventory, Maslach Burnout Inventory, and Graffar-Méndez-Castellanos socioeconomic level scale, as well as a data collection sheet and a survey of workers' knowledge, attitudes, fears, and needs regarding COVID-19.

RESULTS

A total of 233 workers were surveyed. The prevalence of poor sleep quality was 56.7%. A higher score on the Beck Depression Inventory (OR: 1.21, CI 95%: 1.13-1.29), being a doctor (OR: 3.48, CI 95%: 1.5-8.01), and frequent alcohol consumption (OR: 2.4, CI 95%: 1.13-5.2) were identified as risk factors for poor sleep quality. A lower score in the depersonalization dimension of the Maslach Burnout Inventory (OR: 0.5, CI 95%: 0.26-0.99) was identified as a protective factor for poor sleep quality.

CONCLUSIONS

During the pandemic, the stress of health workers increased due to work alterations that were necessary to treat the greatest number of patients, so their quality of sleep decreased. Unfortunately, the mental health of healthcare workers is often under-assessed in many institutions. Thus, it is relevant to identify risk factors for alterations (especially those of sleep), since by identifying the target population, comprehensive interventions can be carried out, which can reduce the prevalence of burnout, anxiety, and depression, but if not addressed, the alterations can lead to inadequate care for users of health units.

Effect of vagus nerve stimulation (taVNS) on anxiety and sleep disturbances among elderly health care workers in the post COVID-19 pandemic

BACKGROUND

Healthcare workers (HCWs) have been significantly impacted by the pandemic. Elderly health care workers carry out a variety of duties at work and have years of clinical expertise. Anxiety and insomnia are among the more commonly encountered problems in senior physicians and other geriatric medical professional populations.

OBJECTIVE

The study aims to determine the effect of vagal nerve stimulation on anxiety and sleep disturbances among geriatric medical professionals.

METHODS

42 participants were enrolled in this study based on the inclusion and exclusion criteria. The participants were divided into two groups using the closed envelope approach, and they took part in therapy sessions lasting 30 minutes, three times per week for a period of four weeks. The Experimental group A received non-invasive transcutaneous auricular vagal nerve stimulation (taVNS) and Control group A received Jacobson's progressive muscle relaxation technique.

RESULTS

With a p value of 0.001, taVNS stimulation significantly improved sleep quality and reduced anxiety after 4 weeks. The post-intervention assessment revealed a highly significant improvement in Group A, with a T value of 251 (p < 0.001).

CONCLUSION

The findings suggest that taVNS may be an effective intervention for addressing anxiety and sleep issues in geriatric medical professionals. These results contribute to the exploration of non-invasive strategies to enhance the well-being of healthcare professionals working in demanding environments.

The relationship between depressive symptoms and sleep quality in medical staff after their infection with COVID-19

Background

Healthcare workers (HCWs) play a crucial role in managing infectious diseases like COVID-19. However, the demanding working conditions during the pandemic have led to an increased risk of depression and sleep disorders among these dedicated professionals. Therefore, this study aimed to examine the relationship between depressive symptoms and sleep quality in medical staff who had contracted COVID-19.

Methods

This descriptive study involved a sample of 203 HCWs who had contracted COVID-19. These HCWs were employed at a hospital affiliated with Kerman University of Medical Sciences in 2020. The data for this study were collected using a demographic information form, the Pittsburgh Sleep Quality Index (PSQI), and the Beck Depression Inventory (BDI). Statistical analysis was conducted using SPSS22, with a significance level set at less than 0.05.

Results

The study found that the mean score for depressive symptoms among the participants was 11.67 ± 2.68, while the mean score for sleep quality was 5.47 ± 3.02. It was observed that 18.2% of the participants experienced moderate depression, 10.3% had severe depression, and 59.6% had poor sleep quality. Furthermore, a significant and positive correlation was identified between sleep quality and depression (r = 0.54; p = 0.001). Multiple regression models indicated that the harmful pattern and sleep quality together could predict 34% of the variance in depression. Additionally, the use of sedatives and depression were found to predict 33% of the variance in sleep quality.

Conclusion

The findings of our study indicated a high prevalence of depressive symptoms and insomnia among medical staff who had contracted COVID-19. These results provide valuable insights for health managers, highlighting the need for implementing interventions in epidemic environments to reduce the vulnerability of HCWs.

Psychological impact of COVID-19 and determinants among Spanish university students

Background

University students are a vulnerable population and faced a significant psychological impact from the COVID-19 pandemic. Therefore, this study aimed to determine the level of fear of COVID-19 among university students and to evaluate the possible relationship between fear of COVID-19 and socio-demographic, health-related determinants, variables related to the COVID-19 and variables related to the psychological impact of the COVID-19 pandemic.

Methods

We conducted a cross-sectional study between December 2020 and December 2021 on a sample of 950 university students from two universities in southern Spain. Participants completed a form that collected socio-demographic, health-related and COVID-related variables, a validated questionnaire related to the psychological impact of the COVID-19 pandemic and the fear of COVID Scale (FCV-19S). Descriptive, inferential, and multivariable linear regression analyzes were conducted.

Results

The mean FCV-19S score was 14.86 ± 5.16 points. The factors identified as predictors of FCV-19S were being female (p < 0.001), holding religious beliefs (p = 0.04), living in towns with over 10,000 inhabitants (p < 0.01), living with someone vulnerable to COVID-19 (p = 0.02), watching TV to keep informed about COVID-19 (p < 0.01), believing in a low probability of surviving if infected with COVID-19 (p < 0.001), having a higher level of death anxiety (p < 0.001) and suffering from insomnia (p < 0.001).

Conclusion

An average fear of COVID-19 score of 14.86 ± 5.16 points has been found among university students in Spain. These findings can aid in identifying specific factors contributing to fear of COVID-19 and in developing coping strategies to alleviate the stress of the pandemic.

Psychosocial status and risk perception among Iranian healthcare workers during the fifth wave of the COVID-19 pandemic

BACKGROUND

Healthcare workers (HCWs) are essential resources, and their health and wellbeing are key not only for offering constant and useful care facilities to clients, but also for maintaining the safety of the workforce and patients. The risk of severe mental health problems among HCWs may have increased during large outbreaks of COVID-19. To evaluate the psychosocial status and risk perception of HCWs who participated in treating COVID-19 patients in Northern Iran, we performed a web-based cross-sectional study.

METHODS

The web-based cross-sectional design was applied between June 27 and September 2, 2021. Using convenience sampling, 637 HCWs were recruited from hospitals in Northern Iran (Mazandaran). The HCWs completed self-report questionnaires that included a sociodemographic information form, the 12-item General Health Questionnaire, Impact of the Event Scale-Revised, Risk Perception Questionnaire, and Anxiety Stress Scale-21. The data were analyzed via descriptive and inferential statistics and univariate/multivariate logistic regression to assess the risk factors linked to each psychosocial consequence.

RESULTS

The results reveal that the COVID-19 pandemic had an adverse psychosocial influence on HCWs, which was already apparent 1.5 years after the crisis began. Based on the results, 71.6%, 55.6%, and 32.3% of HCWs reported having anxiety, depression, and stress symptoms, respectively, since the outbreak of this disease. The logistic regression models displayed that marital status, having children, and working hours with patients were all risk factors of psychosocial impairment.

CONCLUSIONS

The outbreak of COVID-19 can be considered an important experience of a bio-disaster resulting in a significant rate of psychiatric problems in HCWs. There is a need for designing and promoting supportive programs to help HCWs cope and to improve their psychosocial state, and the present study has detected for whom psychosocial support may be effective and practical 1.5 years after the primary outbreak. Moreover, detecting and managing concerns and reducing infection-related embarrassment/stigma are essential for improving HCWs' mental health.

Sleep Quality and Poor Sleep-related Factors Among Healthcare Workers During the COVID-19 Pandemic in Vietnam

OBJECTIVES

The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic.

METHODS

In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher.

RESULTS

Participants' mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95).

CONCLUSIONS

The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.

COVID-Somnia: A Multicentric Study on Sleep Disturbances During the COVID-19 Pandemic With Spatial Mapping of Hotspots

Objective The purpose of this study was to document sleep quality and assess its sociodemographic, behavioral (i.e., tobacco use, alcohol use, and screen time), and mental-health-related indicators (i.e., anxiety and depression) in adults aged 30-59 years across three states of India, and to geo-locate state and district-level findings of sleep quality during the ongoing coronavirus disease 2019 (COVID-19) pandemic. Methods From October 2020 to April 2021, residents (aged 30-59 years) of Kerala, Madhya Pradesh, and Delhi completed a web-based survey that included sociodemographic and behavioral factors, clinical history of COVID-19, and mental health screening instruments for anxiety and depression, namely the Generalized Anxiety Disorder 2-item (GAD-2) and Patient Health Questionnaire-2 (PHQ-2). The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the quality of sleep. Average PSQI scores were geo-mapped. Results Of the 694 participants who responded, 647 completed the PSQI. The mean (SD) global PSQI score was 5.99 (3.2), with approximately 54% of participants reporting poor sleep quality (PSQI Score>5). Eight hotspot districts with severe sleep disturbances (mean score PSQI>6.5) were identified. Multivariable logistic regression analysis showed that compared to Madhya Pradesh, participants from Kerala and Delhi had 62% and 33% lower chances of having poor sleep quality, respectively. Those who screened positive for anxiety had higher odds of having poor sleep quality (adjusted odds ratio {aOR}=2.4, P=0.006*). Conclusion Overall, sleep quality was poor during the early stages of the COVID-19 pandemic (October 2020-April 2021), especially among those who reported high levels of anxiety. Among the three included states, there were differences in sleep quality.

Mediating role of psychological flexibility in the effect of obsessive-compulsive symptoms on sleep quality among nurses during the COVID-19 pandemic

Front-line nurses suffered unprecedented mental distress and severe insomnia during the COVID-19 pandemic. Present study aimed to explore the relationship between obsessive-compulsive symptoms and sleep quality and examine the potential mediating role of psychological flexibility between obsessive-compulsive symptoms and sleep quality. A total of 496 nurses from a Chinese large-scale Class 3 A Comprehensive Hospital were included in an online cross-sectional survey and completed the revised obsessive-compulsive inventory (OCI-R), Multidimensional Psychological Flexibility Inventory (MPFI) and Pittsburgh Sleep Quality Index (PSQI). As predicted, obsessive-compulsive symptoms were negatively associated with psychological flexibility and sleep quality, and psychological flexibility was positively associated with sleep quality. In addition, the relationship between obsessive-compulsive symptoms and sleep quality was partially mediated by psychological flexibility, which can provide some reference for the treatment of the obsessive-compulsive disorder (OCD) and insomnia, and lead to improvements in clinical and psychotherapy planning.

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 Symptom Experience and Functioning of Non-Hospitalized COVID-19 Patients Within the First 20 days

The adverse physical, psychological, and mental health consequences associated with COVID-19 illness are well-documented. However, how specific symptoms change over time and how COVID-19 affects one's day-to-day activities of daily living (ADL), Quality of Life (QoL), sleep quality, and fatigue severity are not well described. This longitudinal and descriptive study examined the changes in COVID-19 symptoms, ADL, QoL, sleep quality, and fatigue severity within the first 20 days. A convenience sample (n = 41) of non-hospitalized SARS-CoV-2 positive patients were recruited and followed for 20 days. Participants completed self-report measures: COVID-19 symptoms, ADL, QoL, sleep quality, and fatigue severity at days: 1, 10, and 20 following a diagnosis. Findings revealed that symptoms decreased over 20 days (p < .001). In parallel with the decrease in symptoms, QoL and ADL improved over 20 days (p < .05). However, sleep quality and fatigue severity did not improve within 20 days (p > .05). Our findings contribute to the growing evidence that COVID-19 symptoms can linger, especially fatigue and sleep quality, that affect overall day-to-day functioning for at least 20 days after diagnosis. To mitigate the effect of COVID-19 on QOL and ADL, findings underscore the need for clinicians to work collaboratively with patients to develop a symptom management plan for a variety of symptoms including fatigue and sleep quality. Beginning to repurpose existing self-management strategies for the longer term COVID-19 symptoms could be beneficial and help to optimize patient outcomes. Future work should examine these variables over a longer timeframe and among different samples of non-hospitalized patients.

Life Habits of Healthcare Professionals during the Third Wave of COVID-19: A Cross-Sectional Study in a Spanish Hospital

(1) Background: To describe sleep quality, eating behaviour and alcohol, tobacco and illicit drug use among healthcare staff in a Spanish public hospital. (2) Methods: Cross-sectional descriptive study examining sleep quality (Pittsburg Sleep Quality Index), eating behaviour (Three Factor Eating Questionnaire (R18)), tobacco and drug use (ESTUDES questionnaire) and alcohol use (Cut down, Annoyed, Guilty, Eye-opener). (3) Results: 178 people, of whom 87.1% (155) were women, with an average age of 41.59 ± 10.9 years. A total of 59.6% of the healthcare workers had sleep problems, to a greater or lesser degree. The average daily consumption was 10.56 ± 6.74 cigarettes. The most commonly used drugs included cannabis, occasionally used by 88.37%, cocaine (4.75%), ecstasy (4.65%) and amphetamines (2.33%). A total of 22.73% of participants had increased their drug use, and 22.73% had increased their consumption during the pandemic, with beer and wine accounting for 87.2% of drinks consumed during this period. (4) Conclusions: In addition to the psychological and emotional impact already demonstrated, the COVID-19 crisis has repercussions on sleep quality, eating behaviour and alcohol, tobacco and drug consumption. Psychological disturbances have repercussions on physical and functional aspects of healthcare workers. It is feasible that these alterations are due to stress, and it is necessary to act through treatment and prevention as well as promote healthy habits.

Intensive Neurofeedback Protocol: An Alpha Training to Improve Sleep Quality and Stress Modulation in Health Care Professionals During the Covid-19 Pandemic. A Pilot Study

Objective

health care workers (HCWs) represent a vulnerable group in the COVID-19 pandemic, given the exposure to greater risk and higher levels of work-related stress. Neurofeedback (NF) has shown to be effective in the treatment of stress-related symptoms. We aimed to assess the effectiveness of an alpha-increase NF protocol for the treatment of acute stress symptoms in HCWs exposed to the COVID-19 pandemic.

Method

eighteen medical doctors on duty during the COVID-19 health emergency underwent an intensive NF alpha-increase protocol. The mean alpha wave values were recorded at the beginning (T0) and at the last day of stimulation (T1). Rapid Stress Assessment: Italian version; Copenhagen Burnout Inventory (CBI); Pittsburgh Sleep Quality Index (PSQI), and Brief-COPE were administered as psychometric assessment.

Results

a significant increase in alpha wave values and a significant reduction of the PSQI scores from T0 to T1 were found.

Conclusions

NF alpha-increase protocol showed promising results in terms of stress modulation, sleep quality improvement, and safety in a pilot sample of HCWs.

Sleep disorders in the acute phase of coronavirus disease 2019: an overview and risk factor study

BACKGROUND

Sleep disorders are common during the outbreak of pandemic diseases, and similar disorders are noted in hospitalized COVID-19 patients. It is valuable to explore the clinical manifestations and risk factors for sleep disorders in COVID-19 patients.

METHODS

Inpatients with COVID-19 were enrolled. Detailed clinical information was collected, and sleep quality was assessed by PSQI. Patients were divided into a sleep disorder group and a normal group based on a PSQI ≥ 7, and the clinical features were compared between the groups.

RESULTS

Fifty-three patients were enrolled, and 47.2% presented sleep disorders. Sleep disorders were associated with older age (> 50), anemia and carbon dioxide retention. Furthermore, factors associated with abnormal component scores of the PSQI were: (1) patients with older age were more likely to have decreased sleep quality, prolonged sleep latency, decreased sleep efficiency, sleep disturbances, and daytime dysfunction; (2) decreased sleep quality and prolonged sleep latency were associated with dyspnea, whereas carbon dioxide retention and more lobes involved in chest CT were associated with prolonged sleep latency; (3) decreased sleep efficiency was more prevalent in patients with anemia.

CONCLUSIONS

Sleep disorders were prevalent in patients during the acute phase of COVID-19, and many risk factors (older age, anemia, carbon dioxide retention, the number of lobes involved in chest CT, and dyspnea) were identified. It is important to assess the presence of sleep disorders in patients to provide early intervention.

Mental Health and Sleep Quality of Healthcare Providers After Partial Relief of COVID-19 in Saudi Arabia: A Cross-Sectional Study

Purpose

We aimed to assess sleep quality and psychological distress among healthcare workers (HCWs) in the context of mitigated governmental restrictions during COVID-19 pandemic in Saudi Arabia.

Methods

This cross-sectional study included 370 HCWs from a single tertiary healthcare institution in Riyadh, Saudi Arabia. Sleep quality and psychological distress were measured using the Pittsburgh Sleep Quality Index (PSQI) and the Depression, Anxiety and Stress Scale - 21 (DASS-21).

Results

The median stress score for HCWs aged between 20 and 29 years was higher compared to HCWs aged between 30 and 39 years (p=0.002) and HCWs aged between 50 and 59 years (p<0.001). The median anxiety score of the age group between 20 and 29 years was also significantly higher compared to the age groups between 40 and 49 and 50-59 years (all p<0.05). HCWs living with family showed higher anxiety and depression scores compared to those living with non-family members (p=0.006 and p=0.005, respectively). Handling COVID-19 patients on multiple occasions during routine patient care was significantly associated with higher anxiety and depression scores among HCWs. The results also showed higher PSQI scores among younger HCWs (20-29 years) and trainees (all p<0.05). In addition, PSQI correlate significantly with depression (r=0.268) and anxiety (r=0.278) scores of DASS-21 scale (all p<0.001).

Conclusion

Poor psychological well-being and sleep quality were observed among certain groups of HCWs, even after the mitigation of COVID-19 restrictions. This study highlights the need for strategies to manage HCWs at risk of developing psychological distress during future catastrophes.

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.

Factors Affecting Health-Related Quality of Life among Healthcare Workers during COVID-19: A Cross-Sectional Study

Background and Objectives: Healthcare workers are threatened by psychological well-being and mental health problems in disasters related to new infectious diseases, such as COVID-19, and this can also have a negative impact on health-related quality of life. Health-related quality of life of healthcare workers should not be neglected because it is closely related to patient safety. This study aimed to identify the relationship between mental health problems, psychological safety, sleep quality, and health-related quality of life of healthcare workers and factors that influence health-related quality of life during the COVID-19 pandemic. Materials and Methods: Data were collected from 301 healthcare workers working in five general hospitals with more than 300 beds in two provinces from 5 July 2021 to 16 July 2021. Data were analyzed using SPSS WIN 27.0. The data were analyzed using t-test, one-way analysis of variance, and stepwise multiple regression. Results: Our results showed that there was a significant difference in regular exercise, religion, economic status, and sleep quality. The DASS-21 stress, economic status, and alcohol consumption were factors affecting the total health-related quality of life. In the subcategories, the physical component score was influenced by DASS-21 stress and economic status, while the mental component score was influenced by DASS-21 depression, economic status, alcohol consumption, and sleep quality. Conclusions: Health care workers need continuous and active monitoring of their health level and quality of life, as they are at a risk of increasing work burden and infection due to prolonged exposure to COVID-19 as well as mental health issues such as stress and depression. Additionally, at the individual level, active participation in various programs that can raise awareness of health-related quality of life along with physical health promotion activities should be encouraged. At the organizational level, it is necessary to prepare a compensation system, such as adjusting the workload of healthcare workers and ensuring break time; at the government level, disaster-related policies are needed to ensure a safe working environment for health care workers.

Investigation of musculoskeletal disorders, physical activity level, sleep quality, and fatigue in health professionals with and without a history of COVID-19

BACKGROUND

Healthcare workers belong to an occupational group that is at high risk during the coronavirus 2019 (COVID-19) pandemic. The increased workload of healthcare workers and the accompanying psychosocial stress caused by the pandemic can affect musculoskeletal system disorders, physical activity status, sleep quality, and fatigue in this group.

OBJECTIVE

To investigate musculoskeletal system disorders, physical activity level, sleep quality, and fatigue in healthcare workers healthcare workers with and without a COVID-19.

METHODS

A total of 200 healthcare professionals aged 18-65 years with and without a history of COVID-19 were in the study. Data were collected between January and March 2021. A "Preliminary Evaluation Form", "Extended version of the Nordic Musculoskeletal System Questionnaire (NMQ-E)", "the International Physical Activity Questionnaire-Short Form (IPAQ-SF)" and "the Pittsburgh Sleep Quality Index (PSQI) were used for data collection".

RESULTS

It was determined that musculoskeletal system disorders did not differ significantly between healthcare workers with and without a COVID-19 history (p > 0.05). It was found that the number of people with problems in the low-back region was higher in those with a COVID-19 history (p = 0.002). In the sleep duration component, the scores of those who did not have a COVID-19 history were found to be significantly higher than those who did (p = 0.10). In other comparisons, it was determined that there was no significant difference.

CONCLUSIONS

It was found that the number of people with problems in the low-back region was higher in those with a COVID-19 history. Those without a COVID-19 history had higher scores in sleep duration parameter.

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.

Anxiety and Sleep Quality in Healthcare Professionals During the Covid-19 Pandemic Process

ABSTRACT Objective: In this study it was aimed to investigate the coronavirus anxiety and sleep quality in healthcare workers during the pandemic period. Methods: This study was planned as cross-sectional and prospective type and it was carried out between February- April 2021 in a tertiary hospital. By online survey method Pittsburg Sleep Quality Index (PSQI), Coronavirus Anxiety Scale (CAS) and a questionnaire created by the researchers were used for collecting the data. Results: A total of 291 healthcare professionals, participated in the study. The mean PSQI score of patients who were detected to have coronavirus anxiety was found to be significantly higher than patients without coronavirus anxiety (p=0,005). Men's average sleep duration was found to be higher than women's (p=0,002). The mean sleep latency score was found to be higher in singles than in married people (p

Effects of the COVID-19 pandemic on sleep health among Middle Eastern and North African (MENA) populations: a systematic review of the literature

OBJECTIVES

This study sought to conduct a systematic review of the literature on the impact of the COVID-19 pandemic on sleep health among Middle Eastern and North African (MENA) populations, understudied geographic regions including with regards to sleep health.

SETTING

A systematic literature search of studies published from inception to 27 March 2022 was conducted on multiple databases using developed keywords.

PARTICIPANTS

Studies were included if they (1) investigated one or more aspects/dimensions of sleep health as an outcome (eg, sleep duration, sleep quality, sleep problems); (2) measured the impact of a COVID-19 pandemic-related domain (eg, impact of quarantine, work from home, lifestyle changes); (3) focused on at least one MENA region population; (4) were peer-reviewed; (5) included ≥100 participants; (6) were written in English and (7) had full-text article publicly available.

PRIMARY AND SECONDARY OUTCOMES MEASURED

Primary outcomes were sleep duration, sleep quality and sleep problems.

RESULTS

In line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, 164 studies were included for data extraction. The Newcastle-Ottawa scale for cross-sectional studies was used to assess the quality of the studies. Overall, the COVID-19 pandemic significantly impacted sleep duration, sleep quality and presence and severity of sleep disorders in MENA populations, including adults, children, students, healthcare workers and people with chronic illnesses. The directionality and strength of associations, as well as the determinants of sleep health, varied by subpopulations.

CONCLUSIONS

Longitudinal studies are needed to understand the longer-term impact of the COVID-19 pandemic on the sleep health of MENA populations. Sleep health interventions and policy measures should be tailored to the need of each subpopulation.

PROSPERO REGISTRATION NUMBER

CRD42022321128.

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.

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.

Mental health impact on healthcare workers due to the COVID-19 pandemic: a U.S. cross-sectional survey study

Background

The COVID-19 pandemic has impacted the mental health and well-being of health care workers (HCWs). This study examined mental health outcomes and COVID-related stress impacts among a diverse sample of ambulatory HCWs, including clinicians and support staff, as well as the associations between mental health outcomes and work impairments in this population. Detailing these results can help in designing interventions to alleviate this burden.

Methods

“The Health Care Worker Stress Survey” was administered to ambulatory care providers and support staff at three multispecialty care delivery organizations as part of an online, cross-sectional study conducted between June 8, 2020, and July 13, 2020.

Results

The greatest stress impact reported by HCWs was the uncertainty regarding when the COVID-19 outbreak would be under control, while the least reported concern was about self-dying from COVID-19. Differences in COVID-19 stress impacts were observed by age, gender, and occupational risk factors. Approximately 50% of participants reported more than a minimal level of anxiety, including 22.5% who indicated moderate to severe levels of anxiety. Higher levels of anxiety were observed with younger ages and female gender, while occupational roles with increased exposure risk did not report higher levels of anxiety. Roughly two-thirds of the sample reported less than good sleep quality and one-third to one-half of the sample reported other sleep related problems that differed by age and gender. Role limitations due to emotional health correlated with COVID-19 related stress, anxiety and sleep problems.

Conclusions

Using established, validated measures, we quantified mental health outcomes within a diverse sample of ambulatory care HCWs during the pandemic. Younger and female HCWs reported greater anxiety burden; HCWs with higher occupational risk of COVID exposure did not report higher levels of anxiety. Notable proportions of HCWs reported sleep and work impairments. Due to the cross-sectional nature of the study, it is difficult to attribute these patterns to the pandemic. These results underscore the depth and extent of mental health outcomes in HCWs in ambulatory settings and raise important questions on new interventions to relieve that burden. Further research is needed to study specific interventions to support the mental health and wellbeing of HCWs.

A Year in the Life of U.S. Frontline Health Care Workers: Impact of COVID-19 on Weight Change, Physical Activity, Lifestyle Habits, and Psychological Factors

Healthcare workers (HCWs) experienced significantly higher burdens and life demands due to the COVID-19 pandemic. This study sought to assess the longitudinal effects among HCWs throughout the pandemic. Qualtrics surveys collected self-reported data on weight changes, eating patterns, physical activity (PA), and psychological factors with data organized by timepoints prior to the pandemic (PP0—prior to March 2020), baseline (M0—January 2021), month 6 (M6—July 2021), and month 12 (M12—January 2022). Eating patterns were negatively impacted at the M0, with reported increases in snacking/grazing (69.7%), fast food/take-out consumption (57.8%), and alcohol (48.8%). However, by M6 and M12 there were no statistically significant differences in eating patterns, suggesting that eating patterns normalized over time. Mean weight increased from PP0 to M0 by 2.99 pounds (p < 0.001, n = 226) and from PP0 to M6 by 2.12 pounds (p < 0.027, n = 146), though the difference in mean weight from PP0 to M12 was not statistically significant (n = 122). PA counts decreased from 8.00 sessions per week PP0 to 6.80 by M0 (p = 0.005) before jumping to 12.00 at M6 (p < 0.001) and 10.67 at M12 (p < 0.001). Psychological factors comparing M0 to M12 found statistically significant differences for depression (p-value = 0.018) and anxiety (p-value = 0.001), meaning depression and anxiety were initially increased but improved by M12. Additionally, higher scores on depression and insomnia scales were associated with lower PA levels. These overall results imply that the COVID-19 pandemic had immediate effects on the eating patterns, weight changes, PA, and psychological factors of HCWs; however, routines and lifestyle habits appeared to have normalized one year later.

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.

Impact of the restrictions on community activities policy during the COVID-19 on psychological health in Indonesia's urban and rural residents: A cross-sectional study

Background and Aims

Although extensive research has been conducted on the psychological impact after exposure to the COVID-19 pandemic, very few studies simultaneously investigated the negative and positive impacts on urban and rural residents. This study aims to compare the extent of psychological impact on Indonesian living in urban and rural areas a year after the first case of COVID-19 was reported.

Design Methodology and Approach

We employed a cross-sectional study design. A total of 428 participants completed a set of web-based questionnaires from February to March 2021, consisting of the Impact of Event Scale-Revised (IES-R), the Perceived Social-Support (PSS), the mental health-related lifestyle (MHLS), and 6-item negative impacts, and the Jenkins' Sleep Scale (JSS).

Findings

Over 40% of the participants reported moderate to severe trauma-related distress; 30%-40% increased stress at work, home, and financial stress, and 50% more social support gained from their family and friends. Although 62.1% of participants paid more attention to their mental health, only 30% engaged in a healthier lifestyle, and 36.7% had sleep problems. No significant differences were found between urban and rural residents on psychological impact, changes in mental health and related lifestyles, and sleep quality. Urban residents perceived more negative impacts, in parallel with increased social support, compared to rural residents. We also found a significant correlation between psychological impact, sleep disturbance, and increased social support. However, there was no significant association between mental health-related lifestyles and other scales.

Originality and Value

This is among the first studies that examine the urban-rural disparity on the positive and negative impact of the COVID-19 in the later stage of the pandemic. Our findings offer insights to provide equal effort to mitigate the negative impacts of the COVID-19 crisis as well as promote healthy lifestyle behaviors in both urban and rural residencies.

A Multi-Center Study on the Negative Psychological Impact and Associated Factors in Chinese Healthcare Workers 1 Year After the COVID-19 Initial Outbreak

Objectives: The study aimed at analyzing the prevalence of five psychological outcomes (depression, anxiety, stress, post-traumatic stress disorder (PTSD), and suicidal ideation) among Chinese healthcare workers (HCWs), and measured the total possible negative psychological impact 1 year after the COVID-19 initial outbreak. Methods: A cross-sectional nationwide multi-center study was performed between November 2020 and March 2021 in China. A self-report questionnaire was applied, and three psychological scales were used. Binary logistic regression was performed to analyze the risk factors associated with each psychological outcome. Results: The findings demonstrated that the COVID-19 pandemic had a negative psychological impact on HCWs, which was still evident 1 year after the initial outbreak. Nurses showed higher depression and anxiety than other HCWs. Female gender, passive coping, long working hours, having a chronic disease, and experiencing violence, among other factors, were all risk factors for psychological impairment. Conclusion: Developing and promoting programs to improve mental health among HCWs, and identifying those who might need psychological support is still relevant 1 year after the initial outbreak.

Modeling Sleep Quality Depending on Objective Actigraphic Indicators Based on Machine Learning Methods

According to data from the World Health Organization and medical research centers, the frequency and severity of various sleep disorders, including insomnia, are increasing steadily. This dynamic is associated with increased daily stress, anxiety, and depressive disorders. Poor sleep quality affects people's productivity and activity and their perception of quality of life in general. Therefore, predicting and classifying sleep quality is vital to improving the quality and duration of human life. This study offers a model for assessing sleep quality based on the indications of an actigraph, which was used by 22 participants in the experiment for 24 h. Objective indicators of the actigraph include the amount of time spent in bed, sleep duration, number of awakenings, and duration of awakenings. The resulting classification model was evaluated using several machine learning methods and showed a satisfactory accuracy of approximately 80-86%. The results of this study can be used to treat sleep disorders, develop and design new systems to assess and track sleep quality, and improve existing electronic devices and sensors.

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 mental health of healthcare workers in GCC countries during the COVID-19 pandemic: A systematic review and meta-analysis

Objectives

The aim of this study was to summarize the available evidence on the prevalence of stress, burnout, anxiety and depression among healthcare providers in the Gulf Cooperation Council (GCC) countries (KSA, Bahrain, Kuwait, Oman, Qatar, and the United Arab Emirates) during the COVID-19 pandemic.

Methods

We searched PubMed, PsycINFO, Scopus, and Google scholar for related studies published between January 2020 and April 2021 and conducted a systematic review and meta-analysis.

Results

Of the 1815 identified studies, 29 met the inclusion criteria, and 19 studies were included in the meta-analysis. The pooled estimate of prevalence for moderate to severe anxiety as reported using GAD-7 was 34.57% (95% CI = 19.73%, 51.12%), that for moderate to severe depression using PHQ-9 was 53.12% (95% CI = 32.76%, 72.96%), and that for moderate to severe stress using the 10-item Perceived Stress Scales was 81.12% (95% CI = 72.15%, 88.70%). Meta-analysis was not performed for burnout due to the small number of identified studies and the different tools used; however, the highest prevalence was reported at 76% (95% CI = 64%, 85%). Overall, a positive trend was observed over time for moderate to severe anxiety and depression, p = 0.0059 and 0.0762, respectively. Of note, the heterogeneity was significant among the studies, and many studies were of poor quality.

Conclusion

The prevalence of mental health disorders during the current pandemic among healthcare workers in GCC countries is high. However, the results could be affected by the high heterogeneity and low quality studies.

Preoperative High Sleep Quality Predicts Further Decrease in Length of Stay after Total Joint Arthroplasty under Enhanced Recovery Short-stay Program: Experience in 604 Patients from a Single Team

Objective

To investigate the safety, efficiency and cost of total joint arthroplasty (TJA) under the enhanced recovery after surgery (ERAS) program and identify predictors facilitating further decrease in length of stay (LOS).

Methods

We retrospectively collected the information of patients who underwent primary unilateral TJA by a single surgical team between January 2017 and June 2019. A total of 604 patients with LOS ≤ 3 was enrolled in this study. All patients completed 12‐month or longer follow‐up. Patients received the same ERAS protocol, mainly including preoperative preparation (patient education, preoperative functional exercises, nutritional support), blood management, pain management, sleep management, prevention of infection, prevention of thrombosis and strict discharge criteria. Preoperative characteristics of patients were collected from the medical record system and were compared between the LOS ≤ 2 group and the LOS = 3 group. Factors with significant difference were included in multivariate logistic regression analysis to find independent preoperative predictors for LOS. Joint function at the latest follow‐up, adverse events rate and hospitalization costs were compared between the LOS ≤ 2 group and the LOS = 3 group.

Results

Of the enrolled 604 patients, 271 patients (44.9%) had a LOS of 2 days or less while 333 patients (55.1%) had a LOS of 3 days. Pittsburgh Sleep Quality Index score (odds ratio [OR] = 1.084, 95% confidence interval [CI] = 1.024–1.147, P = 0.005), preoperative albumin level (OR = 0.945, 95% CI = 0.905–0.988, P = 0.012), digestive diseases (OR = 1.084, 95% CI = 1.024–1.147, P = 0.005) and total hip arthroplasty (THA) (OR = 0.273, 95% CI = 0.170–0.439, P < 0.001) were predictors of LOS ≤ 2 in the multivariate logistic analysis model. The postoperative joint function scores and adverse event rates were comparable between the LOS ≤ 2 group and the LOS = 3 group. The hospital costs were lower in the LOS ≤ 2 group than the LOS = 3 group.

Conclusion

Under the rigorous ERAS program, 2‐day discharge in unselected TJA patients can be routinely applied. Patients with high preoperative sleep quality, high preoperative albumin level, free of digestive disease and undergoing THA procedure are more likely to be discharged within 2 days.

Grief experience among ICU staff with loss of family members during COVID-19 outbreak in IRAN: A qualitative study

Introduction

The COVID-19 crisis created a lot of problems in people's lives. Different lifestyles, mental health, communication, rituals and traditions, particularly those involved in mourning, have changed drastically. Medical staff faced numerous critically ill patients every day. This greatly distressed the staff, especially the ICU staff. The end result was considerable amounts of mental distress for the medical staff who lost family members to COVID-19 making the distress even more complex.

Methods

We carried out this qualitative research to study the grief experiences of 12 Iranian ICU staff members at the Rasoul Akram Hospital who had experienced the loss of a family member to the COVID-19 pandemic. We studied the effects of how their own grief experience and how constant exposure to critically ill patients influenced their work with patients. All semi-structured interviews were held in the presence of a faculty member of the psychiatry department of Iran University of Medical Sciences. The interview on the grief experience among ICU staff during the COVID-19 pandemic, consists of 4 issues: Familiarity, Experience during the COVID-19 pandemic, Grieving the loss of a family member and Effects of parallel grief.

Results

We found five common themes in the result of the experiences of the participants based on content analysis. These consisted of: complex grieving process, new experiences for coping with loss, more empathy for patients, change the meaning of death, and the need for support in work places. Likewise, there were 22 sub themes.

Conclusion

Paying attention to the details of staff members' life, gender differences, and cultural aspects can give us a better understanding and perception of their grief experiences. This understanding brings out valuable points which can help policy makers pass better laws for the wellbeing of society and people in order to promote leadership in turbulent times.

Impact of the COVID-19 pandemic on the mental health of hospital staff: An umbrella review of 44 meta-analyses

BACKGROUND

Hospital staff is at high risk of developing mental health issues during the coronavirus (COVID-19) pandemic. However, the literature lacks an overall and inclusive picture of mental health problems with comprehensive analysis among hospital staff during the COVID-19 pandemic.

OBJECTIVES

To ascertain the prevalence of anxiety, depression and other mental health outcomes as reported in original articles among hospital staff during the COVID-19 pandemic.

DESIGN

A PRISMA 2020 and MOOSE 2000 compliant umbrella review of published meta-analyses of observational studies evaluating the prevalence of mental health problems in hospital staff during the pandemic.

REVIEW METHODS

Systematic searches were conducted in PubMed/Medline, CINAHL, EMBASE, and PsycINFO from December 1st, 2019, until August 13th 2021. The random effects model was used for the meta-analysis, and the I2 index was employed to assess between-study heterogeneity. Publication bias using Egger test and LFK index was examined. Data was analyzed using STATA 17.0 software. AMSTAR-2 was applied for the quality assessment of systematic reviews, while we used GRADE to rate the quality of evidence.

RESULTS

Forty-four meta-analyses from 1298 individual studies were included in the final analysis, encompassing the prevalence of 16 mental health symptoms. One-third of hospital workers reported anxiety (Prevalence: 29.9%, 95% CI:27.1% to 32.7%) and depression (Prevalence: 28.4%, 95% CI:25.5% to 31.3%) symptomatology, while about 40% (95% CI: 36.9% to 42.0%) suffered from sleeping disorders. Fear-related symptoms, reduced well-being, poor quality of life, and acute stress symptoms had the highest prevalence among hospital staff. However, the quality of evidence in these areas varied from low to very low. Nurses suffered more often from sleep problems and symptoms of anxiety and depression than doctors, whereas doctors reported a higher prevalence of acute stress and post-traumatic disorders. The burden of anxiety, depression, and sleep disorders was higher among female employees than their male counterparts. Remarkably, acute stress and insomnia affected more than half of first-line medical staff.

CONCLUSIONS

The prevalence of mental health problems among hospital staff during the COVID-19 pandemic is generally high, with anxiety, depression and insomnia symptoms representing the most robust evidence based on a large dataset of prevalence meta-analyses. However, there is no strong confidence in the body of evidence for each outcome assessed.

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TWEETABLE ABSTRACT

The COVID-19 pandemic is having a major impact on the mental health of hospital staff. The need for support must be different for nurses and doctors @eldi12345.

Cyberchondria, Covid-19 phobia, and well-being: a relational study on teachers

BACKGROUND

This study aims at investigating level and contributor factors of Cyberchondria, Covid-19-related Phobia, and Well-Being in a sample of teachers in Turkey.

METHODS

The study was conducted on teachers (n=1000) working in a province in eastern Turkey. Data for the study were collected using a form that included participants' descriptive characteristics, the Covid-19 Phobia Scale (C19P-SE), the Cyberchondria Severity Scale, and the World Health Organization-5 Well-Being Index (WHO-5). Spearman correlation analysis, Mann-Whitney U test, and Kruskal Wallis analysis of variance were used to analyze the data.

RESULTS

As participant's cyberchondria levels rose, C19P-SE scores increased (r=0.271, p<0.001), and WHO-5 scores decreased (r=-0.224, p<0.05). Corona-phobia was higher in those who used social media than in those who did not (p<0.05). Cyberchondria scale scores were higher among those who had taken medications without a physician's recommendation during the pandemic. Participants who had a disabled person or a person in need of care in their household had higher scores for distrust of the physician and C19P-SE than for the cyberchondria severity scale sub-dimension, and the WHO-5 mean scores were lower (p<0.001, P=0.016, and P=0.020, respectively).

CONCLUSIONS

The study results show that increasing levels of cyberchondria trigger Covid-19 phobias in teachers during the Covid-19 pandemic and negatively affect their well-being. This descriptive study can help understand the risk group for cyberchondria, the influencing factors, and the health and economic consequences, and identify strategies for effective combating with cyberchondria.

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.

Effect of physical activity during COVID-19 on the sleep health of community-level athletes in Australia

The COVID-19 outbreak presents a serious health challenges, with Australia enforcing tight restrictions, impacting sporting activities and sleep health of many Australians. Routine lifestyle patterns (physical activity and employment) are important to maintaining overall sleep health. Current literature indicates COVID-19 pandemic negatively affected the employment status and sport engagement. The aim of this study was to explore the effect of physical activity during COVID-19 on sleep health, and its association with employment and sport engagement of community-level athletes throughout Australia. Participants self-reported sleep health prior to COVID-19 (pre-sleep) and over the month prior to data collection (during-sleep) using the validated 5-item Satisfaction Alertness Timing Efficiency and Duration questionnaire (SATED). Wilcoxon Signed Rank Test assessed the difference in pre- and during perceived sleep health scores. A generalized linear model was used to assess the impact of sporting and demographic factors on a community athlete’s change in perceived sleep health score. A total of 139 community-level Australian athletes responded. The majority of participants were aged 18–30 and engaged in full-time employment prior to COVID-19 (n = 82, 54%). Eight percent of participants were unemployed prior to the COVID-19 pandemic (n = 12, 8%). Our findings show that sleep health values were higher during COVID-19, with 91.4% of respondents able to maintain some form of physical activity during the pandemic. Together, our results show better sleep health scores reported by the respondents who maintained or lost employment and maintained sporting engagements during the pandemic.

COVID-19 epidemic effects on sleep quality among health sector workers: A follow up study

Health care workers (HCWs) were vulnerable to sleep disturbances in normal circumstances. Poor sleep quality (PSQ) is common during the coronavirus disease 2019 (COVID-19) epidemic. The aim of this study is evaluation of sleep quality among healthcare workers during COVID-19 epidemic in a cohort study. In a follow-up study, we assessed sleep quality in 453 Iranian HCW participants in late-April 2021, after approximately 8 weeks of the epidemic of COVID-19. In order to compare the sleep quality in the two time intervals, during and before COVID-19, we used the recorded data of the same group of participants who were enrolled in a study named SHAHWAR (SHAhroud Health care Workers Associated Research) cohort that is focused on the health of HCWs who work at the Shahroud university of medical sciences. Data collection process in the SHAHWAR study started on October 2, 2019 and continued until February 19, 2020. Our results showed sleep quality worsened among shift-workers during COVID-19 outbreak; however, it was improved among non-shift staff. Sleep quality was more likely to be worsening if HCWs had shift-working roles [OR: 1.84(1.11-3.06), and if they experienced death in their families [OR: 5.06(1.60-12.80)]; however, having a paramedical role was a protective effect [OR: 0.52(0.27-092)], for poor quality sleep. Sleep quality worsened during the epidemic among HCWs. A greater impact, in terms of higher PSQI index, in this group of workers was seen in shift working staff.

Sociodemographic and Occupational Factors Associated With Burnout: A Study Among Frontline Healthcare Workers During the COVID-19 Pandemic

Purpose

To describe the prevalence of burnout among frontline healthcare workers (HCWs) during the COVID-19 pandemic and the associated sociodemographic and occupational factors.

Methods

A cross sectional survey study was carried out to study HCWs burnout using the 19-item Full Copenhagen Burnout Inventory (CBI) that includes personal, work, and patient-related burnout subscales. Bivariate analysis was used to test for associations and p < 0.05 was considered statistically significant.

Results

A total of 207 responses received; where the mean score of personal burnout was 67.23, the mean of work-related burnout was 61.38, and the mean of patient-related burnout was 54.55. Significant associations were found; where female HCWs, those working in rotating day-and-night shifts, working more than 55-h per week, and who had their shift time and hours changed during the pandemic, had higher levels of personal and work-related burnout (P < 0.05). Patient-related burnout was higher among those who were single (divorced or separated), nurses, non-Citizens, those with fewer years of experience, and who were infected by COVID-19 and have been quarantined (P < 0.05). Age was not a significant factor of burnout in any of the CBI subscales.

Conclusions

There is a prevalent level of burnout among frontline HCWs during the COVID-19 pandemic. Findings highlight key sociodemographic and occupational factors affecting burnout; which can help planning for psychological support strategies. Furthermore, effective administrative control is important to institute policies and mechanisms to identify, and freely report burnout symptoms among HCWs to promote their wellbeing.