Prevalence of Poor Sleep Quality in Nursing Staff: A Meta-Analysis of Observational Studies

Characteristics of sleep disturbance across two waves of the COVID-19 pandemic among nursing staffs

Objectives

COVID-19 has impacted human lifestyles, including sleep quality. For nursing staff, sleep disorders not only impact their health and daily lives but also have implications for patient safety. The objective of this study is to explore the impact of the COVID-19 pandemic on the psychological and social aspects of nursing staff and the factors influencing their sleep quality through a two-wave survey.

Methods

Nursing staff from a psychiatric hospital in southern Taiwan were recruited in two waves during the COVID-19 epidemic. The level of sleep disturbance and related variables, such as Lo's Healthy and Happy Lifestyle Scale (LHHLS) and Societal Influences Survey Questionnaire (SISQ), were collected through self-report questionnaires. Factors related to the level of sleep disturbance were examined using univariate linear regression and multilevel linear regression.

Results

508 nursing staff members were included in the study, with 254 members in each wave. A significant difference was found between the two waves in the positive thinking of LHHLS and all subscales of SISQ. During the second wave, sleep disturbances were mainly related to self-efficacy, positive thinking, social anxiety, and social desirability. At the fourth wave, sleep disturbances were mainly related to self-efficacy, positive thinking, and social anxiety. However, these effects change when the trend of the epidemic shifts, and other factors are taken into account.

Conclusions

This study analyzed the factors related to the sleep quality of nursing staff during the COVID-19 pandemic. We preliminarily explored the impact of the COVID-19 pandemic on the sleep quality of nursing staff. However, determining whether the end of the epidemic has reduced the impact on nursing staff requires further research.

The prevalence of poor sleep quality in the general population in China: a meta-analysis of epidemiological studies

BACKGROUND

The high prevalence of poor sleep quality (PSQ) in the general population leads to negative health outcomes. Since estimates of PSQ prevalence in the Chinese general population vary widely, this meta-analysis aimed to refine these estimates and to identify moderating factors.

METHODS

A comprehensive literature search was undertaken in both international (PubMed, PsycINFO, Web of Science, and EMBASE) and Chinese (Wanfang, and the China National Knowledge Infrastructure databases) databases from inception to 23 November 2023. Studies were required to have used standard scales such as the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). The pooled prevalence of PSQ and 95% confidence intervals (CIs) were calculated using a random-effects model. Subgroup and meta-regression analyses were performed to identify sources of heterogeneity.

RESULTS

In 32 studies with a combined 376,824 participants, the pooled prevalence of PSQ was 19.0% (95% CI 15.8-22.8%; range 6.6-43.6%). Across 22 studies that reported PSQI data, the pooled mean score was 4.32 (95%CI 3.82-4.81; SD = 0.502). The pooled mean sleep duration across 8 studies was 7.62 (95% CI 7.23-8.00; SD = 0.194) hours. Subgroup analyses showed that lower education (Q = 4.12, P = 0.042), living in less developed regions (Q = 60.28, P < 0.001), and lower PSQI cutoff values (Q = 9.80, P = 0.007) were significantly associated with PSQ. Meta-regression analyses showed that study quality was inversely associated with estimated PSQ prevalence (β = - 0.442, P = 0.004).

LIMITATIONS

Although measures such as subgroup and meta-regression analyses were performed, substantial heterogeneity remained. Information related to sleep quality, such as comorbid physical diseases or psychiatric disorders, substance use, occupational types, and employment status, were not reported in most studies.

CONCLUSION

One in five people in the general population of China may have PSQ and people with lower education or living in western regions may be more susceptible.

A Cross-Sectional Study of the Social Work Environment and Black Registered Nurses' Sleep

INTRODUCTION

Workplace experiences may place Black nurses at higher risk for poor sleep and adverse health outcomes. This study aimed to identify poor sleep prevalence and associations of workplace discrimination and workplace social capital with sleep.

METHODOLOGY

Descriptive statistics and multiple linear regression with exploratory analyses were conducted of cross sectional survey data from US Black nurses.

RESULTS

On average, 63 respondents reported sleeping 6.15 h, 45 min less daily than 6.9 h reported nationally for nurses. Ninety-percent of respondents reported poor sleep quality. While no direct significance was found, respondents reporting sleep quality changes had lower workplace social capital and higher workplace discrimination.

CONCLUSION

Black nurses may have higher prevalence of poor sleep than the larger nursing workforce. A potential relationship between decreased sleep quality and negative perceptions of the work environment may exist. Organizations should examine sleep and potential occupational health inequities among Black nurses when considering worker health.

Evaluating the role of heart rate variability in monitoring stress and sleep quality among nurses in the aftermath of the COVID-19 pandemic

AIM

To assess heart rate variability (HRV) as a measure to assess job stress and sleep quality among nurses in the post-COVID-19 period.

BACKGROUND

The COVID-19 pandemic significantly affected nurses, with heightened job stress and impaired sleep quality impacting their well-being and effectiveness in patient care. HRV could offer insights for supporting strategies in the pandemic aftermath.

DESIGN

A quantitative cross-sectional study.

METHODS

This study involved 403 clinical nurses recruited from a teaching hospital in Taiwan. Data on job stress, work frustration, sleep quality and HRV were collected and analysed.

RESULTS

Among the nurses surveyed during the COVID-19 pandemic, 72.7% reported poor sleep quality (PSQI = 9.369). Job stress emerged as a strong predictor of work frustration. High stress levels and poor sleep quality were correlated with significantly decreased HRV, indicating a potential physiological impact of stress on the nurses' health and well-being.

CONCLUSIONS

HRV is a valuable and cost-effective measure for monitoring and managing nurses' well-being in the post-COVID-19 era. Targeted interventions can be implemented to support nurses' overall performance and promote their well-being by identifying those at high risk of job stress and poor sleep quality.

Personal and Workplace Characteristics as Predictors of Intent-To-Stay Among Registered Nurses: An Exploratory Quantitative Multicentre Study

AIM

This study aims to describe and examine the factors associated with registered nurses' intent-to-stay and subsequently identify predictors of nurses' intent-to-stay.

DESIGN

A quantitative, cross-sectional correlational design was used.

METHODS

A convenience sample of 270 registered nurses completed the questionnaire and was included in this study. Descriptive statistics were used to present the sociodemographic characteristics and scores of outcome measures. Pearson's correlation coefficient and multiple linear regression with backward selection were conducted to examine how nurses' characteristics and workplace factors influence nurses' intent-to-stay.

RESULTS

The mean age of the participants was 29.2 years. The mean scores for the outcomes were intent-to-stay (mean = 2.96), resilience (mean = 3.34), occupational self-efficacy (mean = 4.34), sleep quality (mean = 9.73) and workplace environment scores (mean = 3.15). The correlation analysis showed that resilience, occupational self-efficacy, self-realisation and workload were positively correlated to intent-to-stay while sleep quality was negatively correlated to intent-to-stay. Multiple linear regression analysis found occupational self-efficacy, sleep quality, workload, nervousness, nurses' designation and specialisation status to be significant factors associated with intent-to-stay.

CONCLUSION

Intent-to-stay is a complex and multidimensional construct influenced by a variety of personal and workplace factors. Hospital administrators should endeavour to develop measures to improve occupational self-efficacy, workload, nervousness and push for specialisation training to bolster nurses' intent-to-stay.

IMPACT

Against an everchanging healthcare landscape following the COVID-19 pandemic, the findings of this study contribute to a deeper understanding of the factors of registered nurses' intent-to-stay. The findings of this study alluded to the importance of professional development and workload as factors that can influence registered nurses' intent-to-stay. Hospital administrators can prioritise workforce retention policies by introducing strategies such as opportunities for upskilling, flexible working hours and streamlining work processes to promote nurses' intent-to-stay.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

How Shift Nurses' Presenteeism is Related to Insomnia and Care Left Undone: A Cross-Sectional Study Using Generalised Structural Equation Modelling

AIM

To examine the association between nurses' insomnia, presenteeism and care left undone and explore the mediating effect of presenteeism on the relationship between insomnia and care left undone among nurses in acute care hospitals, applying a dynamic model of presenteeism and absenteeism.

DESIGN

A cross-sectional design.

METHODS

A secondary data analysis was conducted using online survey data collected in January 2023. Participants were 1154 registered nurses who provided direct nursing care to patients in tertiary or general hospitals (hospitals with 300 or more beds) in South Korea. Poisson regression analysis was used to examine the association between nurses' insomnia, presenteeism and care left undone. Generalised structural equation modelling was performed to examine the mediating effect of presenteeism on the relationship between insomnia and care left undone.

RESULTS

The prevalence of insomnia was 15.3%. More than half of the participants (63.7%) reported experiencing presenteeism in the past 4 weeks. All reported at least one nursing care left undone during their last shift. Insomnia and presenteeism were positively associated with care left undone, and presenteeism mediated the relationship between insomnia and care left undone among nurses in acute care hospitals.

CONCLUSION

Nurses experienced insomnia and presenteeism, related to higher rates of care left undone. Nurses' insomnia had a direct effect on care left undone and an indirect effect through presenteeism.

IMPLICATIONS FOR THE PROFESSION

Nurse managers and administrators need to make greater efforts to reduce insomnia and presenteeism among nurses, thereby reducing care left undone and improving patient safety in acute care settings.

IMPACT

Nurse managers and administrators should consider proactive interventions to address nurses' insomnia and foster a workplace with healthy systems and culture to reduce sleep disturbance and presenteeism, which can effectively decrease care left undone.

REPORTING METHOD

STROBE guidelines.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

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.

Mediation effect of perceived social support and psychological distress between psychological resilience and sleep quality among Chinese medical staff

Sleep quality is crucial for the personal well-being of healthcare professionals and the health outcomes of their patients. This study aims to explore the relationship between psychological resilience (PR), perceived social support (PSS), psychological distress (comprising anxiety,depression,and stress), and sleep quality. It also examines whether PSS and psychological distress function as chain mediators between PR and sleep quality. A cross-sectional online survey was conducted using a convenient sampling method, with 454 participants included. The survey instruments included the Connor and Davidson Resilience Scale, the Perceived Social Support Scale, the 21-item Depression Anxiety Stress Scale, and the Pittsburgh Sleep Quality Index. Structural equation modeling revealed that PR significantly predicted sleep quality of Chinese medical staff. Psychological distress was identified as a mediating factor between PR and sleep quality. However, PSS did not directly mediate the relationship between PR and sleep quality. Instead, PSS and psychological distress were found to play a chain mediating role in the relationship between PR and sleep quality. This study provides new insights into the impact of PR on sleep quality, highlights the importance of PSS and psychological distress, and suggests practical implications for enhancing sleep quality among medical staff.

Prevalence of sleep disturbances among intensive care nurses: A systematic review and meta-analysis

BACKGROUND

Demanding intensive care unit (ICU) work environments may lead to sleep disturbances in nurses, impacting their health and potentially patient safety. Yet, the prevalence remains unclear around the world.

AIMS

To quantify the prevalence of sleep disturbances in intensive care nurses.

STUDY DESIGN

Systematic review and meta-analysis. A database search was conducted in Embase, PubMed, Web of Science, Scopus and CINAHL from their inception to April 2024 for relevant studies. Data from observational studies (cross-sectional or cohort) that reported the prevalence of sleep disturbances, assessed using the Pittsburgh Sleep Quality Index (PSQI > 5), pooled in random-effects meta-analyses. Subgroup analyses were used to investigate variations in the prevalence estimates in terms of available variables. A Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA)-compliant protocol was registered in PROSPERO (CRD42023476428).

RESULTS

In total, 24 articles were included in this study published from 1996 to 2023. Included studies were from 15 unique countries. Almost all of the studies were descriptive cross-sectional studies (n = 22; 91.7%). The included studies encompassed a range of intensive care nurses, from 42 to 605, involving a total of 3499 intensive care nurses. The reported proportion of intensive care nurses with sleep disturbances ranged from 20.0% to 100.0%, with a median of 76.7% (interquartile range: 62.9-85.7). The pooled prevalence of sleep disturbances in intensive care nurses was 75.1% (95% confidence interval: 37.2-53.1; 95% prediction interval: 30.5-95.4).

CONCLUSIONS

Sleep disturbance is a common issue in intensive care nurses. The study results highlight the importance of implementing effective interventions as early as possible to improve ICU sleep quality.

RELEVANCE TO CLINICAL PRACTICE

High prevalence of sleep disturbances among intensive care nurses necessitates global interventions. Gender-neutral approaches that acknowledge comparable risks and stable prevalence over time require long-term strategies. Raising awareness through programmes is vital for implementing evidence-based interventions to promote sleep health in intensive care nurses.

Excessive daytime sleepiness in nursing technicians: association with sleep quality and memory

OBJECTIVE

to investigate excessive daytime sleepiness prevalence among nursing technicians and the association with sleep quality and memory.

METHODS

a cross-sectional, inferential study, carried out in a hospital unit in the state of Goiás between December 2020 and January 2021. Assessments were carried out using the Epworth Sleepiness Scale, the Pittsburgh Sleep Quality Index and the Prospective and Retrospective Memory Questionnaire, instruments validated for the Brazilian context. Bivariate and multivariate logistic regression analyzes were performed.

RESULTS

the sample consisted of 189 nursing technicians with a 40.9% excessive daytime sleepiness prevalence. In multivariate models, excessive daytime sleepiness was not associated with sleep quality, however there was a significant association with overall memory failures.

CONCLUSIONS

study results demonstrate a high excessive daytime sleepiness occurrence, an association with overall memory failures and the need for psychosocial interventions for nursing technicians.

Sleep quality among emergency nurses and its influencing factors during COVID-19 pandemic: a cross-sectional study

Background

COVID-19 has probably contributed to sleep disturbance among nurses, especially those working at emergency departments (EDs). Sleep disorders in nurse managers can negatively impact their health and impair work performance and decision-making. This study aimed to explore the quality of sleep among nurses working in EDs and its influencing factors during the COVID-19 pandemic.

Method

In this study, a cross-sectional design was employed to assess the sleep quality of nurses working in EDs during the COVID-19 pandemic. The research recruited a convenience sample of emergency nurses, who were selectively sourced from four hospitals in Hail City. This recruitment occurred over the period from April to July 2022. Descriptive data analysis was conducted using SPSS, with the significance level set at 0.05.

Results

Among the 216 participants in the study, the majority (55.6%) were aged between 30 and 39 years, and 73.6% were female. Additionally, 64.4% were married, while 69.4% had a bachelor's degree, 20% held a diploma, and the remaining had a master's degree. Notably, a significant 81.5% of the nurses reported poor sleep quality, as assessed by the Pittsburgh Sleep Quality Index (PSQI), with an overall mean score of 10.55 indicating poor sleep. The study highlighted that poor sleep quality among nurses was linked to being female, being married, and not exercising regularly. Better sleep was associated with nurses who manage fewer patients per shift and have adequate monthly income.

Conclusion

The prevalence of poor sleep quality among Emergency nurses during the COVID-19 pandemic is high. There is a pressing need for targeted interventions to enhance sleep quality among ED nurses. Improving sleep quality is not only essential for the wellbeing of these nurses but is also likely to contribute to better patient care.

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.

Extent, range, and nature of studies examining sleep in nurses: a scoping review protocol

OBJECTIVE

This scoping review aims to comprehensively map the extent, range, and nature of studies that examine the various dimensions of nurses' sleep across all health care settings or countries.

INTRODUCTION

Over the past 2 decades, the importance of sleep for nurses has gained increasing attention from health care administrators, researchers, and policymakers. Despite growing research in the area, it remains unclear as to how research on sleep in nurses aligns with emerging concepts in sleep medicine more broadly, particularly in terms of how outcomes and predictors are associated with different dimensions of sleep.

INCLUSION CRITERIA

This review will include primary studies that examine nurses' sleep. All dimensions of sleep (eg, duration, timing, variability, quality, and common disorders) and all nurses, irrespective of career stage, will be considered for inclusion.

METHODS

This review will utilize the JBI methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRIMSA-ScR). Databases to be searched include MEDLINE (Ovid), Emcare, Embase, PsycINFO, and Scopus. A 3-step search strategy will be undertaken to identify primary studies published in English with no date limit. The data extracted will include specific details about the nursing population, sleep dimension, outcome measures, methodology, and key findings. Figurative, tabular, and accompanying narrative synthesis will be used to present the results in line with the review questions.

REVIEW REGISTRATION

Open Science Framework https://osf.io/rzc4m.

The Role of Social Support and Sleep Quality in the Psychological Well-Being of Nurses and Doctors

Social support enhances the development of adaptive strategies to cope with difficulties, which may affect psychological well-being. Sleep quality has been highlighted as having a relevant role in psychological well-being. The present study aimed to analyse the role of social support and sleep quality in the psychological well-being of health professionals (nurses and doctors) compared to the general population. The sample comprised 466 adults aged between 18 and 75 (M = 43.4; SD = 10.8), of which 272 were the general population and 194 nurses and doctors. Data were collected through a Sociodemographic Questionnaire, the Multidimensional Scale of Perceived Social Support, the Pittsburgh Sleep Quality Index, and the Psychological Well-Being Manifestation Measure Scale. Nurses presented less balance (also doctors), sociability and happiness than other professionals. Less significant sociability was observed in nurses compared with doctors. The results also allowed us to observe the positive role of social support from significant others on social involvement and sociability and the positive role of the family in self-esteem. Social support from friends played a positive role in all dimensions of psychological well-being. Males had a higher prevalence of psychological well-being. Other professionals and sleep quality show high levels of psychological well-being in all dimensions. Data discussion highlights the role of social support, sleep, and sex and the implications of health professions (nurses and doctors) on psychological well-being.

Correlations between empathy fatigue, occupational identity, and sleep quality in nursing staff: a cross-sectional study

Objective

To investigate the status quo of empathic fatigue, professional identity, and sleep quality of nursing staff in nursing institutions. To analyze the correlation between empathic fatigue, professional identity and sleep quality of nursing staff.

Methods

This is a cross-sectional study. The method of convenient sampling was used to select 224 nursing workers from the older adult's institutions in the Panjin area as the investigation objects. The nurses' general data questionnaire, the Chinese version of the compassion fatigue short scale, the nurses' professional identity Scale, and the Pittsburgh Sleep Quality Index were used as evaluation tools. SPSS26.0 statistical software was used to sort out and analyze the data.

Results

There was a positive correlation between empathic fatigue and sleep quality; there was a negative correlation between empathy fatigue and professional identity. Occupational identity and sleep quality were negatively correlated.

Conclusion

There is a correlation between empathic fatigue, professional identity, and sleep quality of nursing workers. Empathy fatigue is positively correlated with sleep quality. Empathy fatigue was negatively correlated with professional identity. Occupational identity was negatively correlated with sleep quality. To provide a theoretical basis for the management of older adult's nursing staff and the formulation of corresponding management systems and policies, promote the mental health of older adult's nursing staff, improve sleep quality, and provide a theoretical basis and reference for future intervention research.

Relationship Between Sleep Problems and Memory Impairment Among Nurses

BACKGROUND

Sleep problems are common among nurses and can lead to various health problems. Further, the relationship between multiple sleep problems and memory impairment in clinical nurses remains unknown. Therefore, in this study, we aimed to explore the relationship between sleep problems and memory impairment among nurses.

METHODS

Multistage cluster-stratified random sampling was performed from tertiary hospitals in Shandong, China. Overall, a total of 1833 nurses were included in the final analysis. The Chinese version of the Pittsburgh Sleep Quality Index and prospective and retrospective memory questionnaire were administered to the participants.

RESULTS

The sleep quality of the nurses decreased during the normal epidemic prevention and control period compared with that before the epidemic in terms of sleep duration, sleep efficiency, and sleep disturbances. Nurses who reported cumulative or specific sleep problems (e.g., high sleep latency, sleep disturbances, and daytime dysfunction) and those in the "daily disturbances" and "poor sleep quality" groups had a higher risk of memory impairment than the others.

CONCLUSION

Sleep problems might be important for memory impairment among nurses. These findings may help identify nurses at considerable risk of memory impairment in clinical practice.

Relationship among sleep, work features, and SARS-cov-2 vaccine antibody response in hospital workers

STUDY OBJECTIVES

Immunity is influenced by sleep and the circadian rhythm. Healthcare workers are predisposed to both insufficient sleep and circadian disruption. This study aimed to evaluate the relationship between sleep and work characteristics and the antibody response to the mRNA SARS-CoV-2 vaccine BNT162b2.

METHODS

The authors' prospective cohort study ("COVI3") evaluated the effect of a third (booster) dose of the BNT162b2 vaccine. A subset of participants provided information on anthropometric measures, sleep, stress and work characteristics including shift work and number of work hours per week. Blood samples for anti-S1-RBD IgG antibody levels were obtained 21 weeks following receipt of the third dose of the vaccine.

RESULTS

In total, 201 healthcare workers (73% women) were included. After adjustment for age, body mass index (BMI), shift work, smoking status, and perceived stress, short sleep duration (<7 h per night) was associated with lower anti-S1-RBD IgG levels (Odds ratio 2.36 [95% confidence interval 1.08-5.13]). Participants who performed shift work had higher odds of lower anti-S1-RBD IgG levels compared to those who did not work in shifts [odds ratio = 2.99 (95% confidence interval 1.40, 6.39)] after accounting for age, short sleep duration, BMI, smoking status and perceived stress.

CONCLUSIONS

Shift work and self-reported short sleep duration were associated with a lower antibody response following a booster dose of the SARS-CoV-2 vaccine. These findings suggest that the efficacy of vaccination, particularly among healthcare workers, may be augmented by addressing both sleep and circadian alignment.

Stress begets stress: The moderating role of childhood adversity in the relationship between job stress and sleep quality among nurses

BACKGROUND

Nurses exhibit considerable variations in sleep quality and experience high job stress levels. Distal factors, such as childhood adversity, and proximal factors, both influence sleep quality. We investigated the moderating role of childhood adversity with job stress and sleep quality, and whether this aligns with the stress-sensitization or stress-amplification models.

METHODS

The impact of job stressors' total score and its dimensions on sleep quality was analyzed using traditional linear regression models and the extreme gradient boosting machine learning algorithm. The hierarchical regression examined the moderating role of childhood adversity in the relationship between job stress and sleep quality. An interactive tool was used to visualize the results.

RESULTS

Among the dimensions of job stress, "time allocation and workload" strongly correlated with sleep quality, followed by "nursing profession and work problems," "patient care issues," "management and interpersonal problems," and "working environment and equipment problems." The moderating role of childhood adversity in the relationship between different dimensions of job stressors (except working environment and equipment problems) and sleep quality aligns with the stress-sensitization model.

LIMITATIONS

This study was susceptible to recall bias and objective sleep data were unavailable. Cross-sectional study design was used, thus limiting causal inferences. Finally, the moderating effect of childhood adversity on subsequent stress among nurses remains unclear.

CONCLUSION

Childhood adversity and job stress were integrated into a stress-sensitization model, providing a nuanced and specific examination of sleep quality. Healthcare policymakers should focus on job stress and childhood adversity, improve nurses' sleep quality, and ultimately benefit patient care and outcomes.

Sleep quality and fatigue among nurses working in high-acuity clinical settings in Saudi Arabia: a cross-sectional study

BACKGROUND

Poor sleep quality is prevalent among nurses worldwide. Around two-thirds of nurses doing shift work are known to experience sleep problems and fatigue. Fatigue and sleep problems are linked to poor performance, impaired alertness, injuries, chronic diseases, compromised healthcare quality, and medical errors, all of which detrimentally impact nurses and threaten patients' safety. This area of research has received insufficient attention in Saudi Arabia; therefore, the purpose of this study was to examine the levels of sleep quality and perceived fatigue and their association among nurses working in acute care settings in comprehensive hospitals in Saudi Arabia.

METHODS

A descriptive cross-sectional study using the Pittsburgh Sleep Quality Index and Chalder Fatigue Scale. Data was obtained via an online questionnaire that was distributed to nurses using the QuestionPro platform through hospital administrators, social media (WhatsApp), and personal contact.

RESULTS

A total of 173 nurses completed the online survey. Most participants reported poor sleep quality (n = 127, 73.4%) and severe perceived fatigue (n = 156, 90.2%). Furthermore, the study revealed a significant correlation between the overall sleep disturbance and fatigue global scores (r = 0.57, P < 0.001), indicating that poor sleep quality was significantly associated with higher fatigue levels among the study sample.

CONCLUSIONS

The current study found a significant association between sleep quality and severe fatigue in nurses working in high acute care settings in Saudi Arabia. It is very clear from the results that nurses are experiencing poor sleep and severe fatigue, which in turn, will negatively impact the nurse's quality of life and patient safety.

Impact of Medical School on the Relationship between Nutritional Knowledge and Sleep Quality-A Longitudinal Study of Students at Wroclaw Medical University in Poland

The aim of this study was to investigate the impact of the first year of medical school on the relationship between nutritional knowledge and sleep. To achieve this, first-year medical students at Wroclaw Medical University were invited to participate in the study during both the initial and final months of their first academic year. The study included 570 students in the initial period and 705 in the latter. The research questionnaire comprised the KomPAN, assessing nutritional knowledge, and the Pittsburgh Sleep Quality Index (PSQI), evaluating sleep quality. The majority of students demonstrated at least sufficient nutritional knowledge, while approximately two-thirds of students experienced poor sleep in both periods. Notably, sleep quality further deteriorated in the second period (PSQI total score: 6.86 vs. 7.38, p = 0.0157). This change was influenced mainly by a decrease in sleep duration and an increase in the use of sleep medications (both p < 0.0001). The significant difference in overall sleep quality between different nutritional knowledge levels emerged only in the second semester, where students with the highest nutritional knowledge slept the best, while those with the lowest slept the worst (p = 0.0001). Crucially, in both periods, the use of sleep medications was highest among individuals with insufficient nutritional knowledge. Throughout the academic year, the usage increased for all except those with the highest nutritional knowledge, who exhibited the best sleep (p < 0.0001). The escalating use of sleep medications among medical students warrants greater attention, and leveraging the relationship between nutritional knowledge and sleep could prove beneficial, as positive habits in one domain may positively influence the other.

Energy Availability, Mental Health, and Sleep Patterns of Athletic Trainers

CONTEXT

Engaging in exercise and appropriate nutritional intake improves mental health by reducing anxiety, depression, and sleep disturbances. However, few researchers have examined energy availability (EA), mental health, and sleep patterns in athletic trainers (ATs).

OBJECTIVE

To examine ATs' EA, mental health risk (ie, depression, anxiety), and sleep disturbances by sex (male, female), job status (part time [PT AT], full time [FT AT]), and occupational setting (college or university, high school, or nontraditional).

DESIGN

Cross-sectional study.

SETTING

Free living in occupational settings.

PATIENTS OR OTHER PARTICIPANTS

A total of 47 ATs (male PT ATs = 12, male FT ATs = 12; female PT ATs = 11, female FT ATs = 12) in the southeastern United States.

MAIN OUTCOME MEASURE(S)

Anthropometric measurements consisted of age, height, weight, and body composition. Energy availability was measured through energy intake and exercise energy expenditure. We used surveys to assess the depression risk, anxiety (state or trait) risk, and sleep quality.

RESULTS

Thirty-nine ATs engaged in exercise, and 8 did not exercise. Overall, 61.5% (n = 24/39) reported low EA (LEA); 14.9% (n = 7/47) displayed a risk for depression; 25.5% (n = 12/47) indicated a high risk for state anxiety; 25.5% (n = 12/47) were at high risk for trait anxiety, and 89.4% (n = 42/47) described sleep disturbances. No differences were found by sex and job status for LEA, depression risk, state or trait anxiety, or sleep disturbances. Those ATs not engaged in exercise had a greater risk for depression (risk ratio [RR] = 1.950), state anxiety (RR = 2.438), trait anxiety (RR = 1.625), and sleep disturbances (RR = 1.147), whereas ATs with LEA had an RR of 0.156 for depression, 0.375 for state anxiety, 0.500 for trait anxiety, and 1.146 for sleep disturbances.

CONCLUSIONS

Although most ATs engaged in exercise, their dietary intake was inadequate, they were at increased risk for depression and anxiety, and they experienced sleep disturbances. Those who did not exercise were at an increased risk for depression and anxiety. Energy availability, mental health, and sleep affect overall quality of life and can affect ATs' ability to provide optimal health care.

A scoping review of sleep education and training for nurses

BACKGROUND

Shift work and resulting sleep impairment among nurses can increase their risk for poor health outcomes, occupational injuries, and errors due to sleep deficiencies. While sleep education and training for nurses has been recommended as part of a larger fatigue risk management system, little is known about training programs designed specifically for nurses.

OBJECTIVE

Investigate the literature for current sleep education or training programs specifically for shift working nurses, with intent to assess training content, delivery characteristics, and outcome measures.

DESIGN

A scoping review conducted October 2020 through September 2021.

METHODS

The bibliographic databases Cumulative Index of Nursing and Allied Health (CINAHL), Scopus, PubMed, and NIOSHTIC-2 were searched using words such as "nurse," "sleep hygiene," "shift work," and "education". Studies were included if they: 1) were original research; 2) discussed sleep education, training, or sleep hygiene interventions; 3) included a study population of nurses engaging in shift work; 4) focused on sleep as a primary study measure; 5) were written in English language; and 6) were published in 2000 or later.

RESULTS

Search results included 17,237 articles. After duplicates were removed, 14,620 articles were screened. Nine articles were found to meet established criteria. All studies included sleep hygiene content in the training programs, with five studies adding psychological and/or behavior change motivation training to support change in nurse sleep habits. Three studies added specific training for nurses and for managers. Delivery modes included in-person training of various lengths and frequency, mobile phone application with daily engagement, an online self-guided presentation, and daily reading material coupled with audio training. Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale were the outcome measures most frequently used. Although studies demonstrated improved sleep measures, most were pilot studies testing feasibility.

CONCLUSION

Although there is a paucity of studies focused on sleep education and training for shift working nurses, we found the inclusion of sleep hygiene content was the only common characteristic of all nine studies. The variability in training content, delivery methods, and outcome measures suggests further research is needed on what constitutes effective sleep education and training for nurses.

Sleep quality after stroke: A systematic review and meta-analysis

BACKGROUND

Sleep-related problems are debilitating and long-lasting conditions in individuals with stroke. We aimed to estimate the prevalence of poor sleep quality after stroke by conducting a systematic review and meta-analysis.

METHODS

Five databases (PubMed, Embase, Web of Science, Scopus, and CINHAL) were searched for literature published before November 2022. Studies recruiting participants with stroke, using a validated scale to measure sleep quality and in English were included. We used the Agency for Healthcare Research and Quality Scale and Newcastle-Ottawa Scale to assess the quality of eligible studies. Pooled prevalence and subgroup analyses were performed to understand the variation in sleep quality among studies. We followed the PRISMA checklist to report the study.

RESULTS

Thirteen studies were included for analysis (n = 3886). The pooled prevalence of poor sleep quality was 53% (95% CI 41-65%). Studies using PSQI with a cutoff point of 7 had a prevalence of 49% (95% CI 26-71%), whereas those with a cutoff point of 5 had a higher prevalence of 66% (95% CI 63-69%) (P = .13). Geographical location could explain the prevalence variation between studies. The majority of included studies had a medium level quality of evidence (10/13).

CONCLUSION

Poor sleep quality appears to be common in patients with stroke. Considering its negative impact on health, effective measures should be taken to improve their quality of sleep. Longitudinal studies should be conducted to examine the contributing factors and investigate the mechanisms that lead to poor sleep quality.

Global prevalence and associated factors of sleep disorders and poor sleep quality among firefighters: A systematic review and meta-analysis

Lack of sleep can affect the health and performance of firefighters. This systematic review and meta-analysis estimated the global prevalence of sleep disorders and poor sleep quality among firefighters and reported associated factors. Four academic databases (Scopus, PubMed, Web of Science, and Embase) were systematically searched from January 1, 2000 to January 24, 2022. These databases were selected as they are known to index studies in this field. The search algorithm included two groups of keywords and all possible combinations of these words. The first group included keywords related to sleep and the second group keywords related to the firefighting profession. The relevant Joanna Briggs Institute checklist was used to evaluate study quality. Data from eligible studies were included in a meta-analysis. In total, 47 articles informed this review. The pooled prevalence of sleep disorders and poor sleep quality in firefighters were determined as 30.49% (95% CI [25.90, 35.06]) and 51.43% (95% CI [42.76, 60.10]), respectively. The results of a subgroup analysis showed that individuals in low- and middle-income countries (LMICs) had a higher prevalence of sleep disorders than those in high-income countries (HICs) but HICs had a higher prevalence of poor sleep quality than LMICs. Various factors, including shift work, mental health, injuries and pain, and body mass index were associated with sleep health. The findings of this review highlight the need for sleep health promotion programs in firefighters.

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

Background and Aims

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

Methods

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

Results

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

Conclusion

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

Sociodemographic Aspects and Healthy Behaviors Associated With Perceived Life Satisfaction in Health Professionals

BACKGROUND

Life satisfaction is a determining factor for the improvement of mental and physical health. Health care workers are a vulnerable population to suffer alterations in the factors that affect life satisfaction. Determining the influence of these factors on quality of life is important for their proper management.

OBJECTIVE

To examine sociodemographic factors and healthy behaviors influencing life satisfaction in Peruvian professionals.

METHODS

A cross-sectional study was conducted with 506 health care workers, who had a mean age of 40.34 years (SD = 10.39). A sociodemographic questionnaire, sleep quality, physical activity, eating habits, and life satisfaction were used. A regression model was fitted with the life satisfaction variable as the dependent variable.

RESULTS

In multivariable analysis, age (β = -.938, P < .01) and perception of poor health status (β = -4.743, P < .001) were found to be associated with lower life satisfaction. On the other hand, higher university education level (β = 1.667, P < .001), absence of smoking (β = 3.202, P < .01), absence of depressive symptoms (β = 3.390, P < .001), interest in daily activities (β = 3.503, P < .05), good sleep quality (β = 1.027, P < .01), a high frequency of physical activity (β = 1.056, P < .01), and healthy eating are variables associated with higher life satisfaction.

CONCLUSION

Sociodemographic aspects such as age and the perception of poor health are associated with lower life satisfaction. On the other hand, healthy behaviors such as absence of smoking, absence of depressive symptoms, interest in daily activities, good quality of sleep, high frequency of physical activity, and a healthy diet were associated with higher life satisfaction.

Sociodemographic, occupational, and personal factors associated with sleep quality among Chinese medical staff: A web-based cross-sectional study

Background

Sleep quality among medical staff affects not only their own health but also the health of their patients. This study aimed to investigate the sociodemographic, occupational, and personal factors associated with sleep quality among medical staff in mainland China.

Methods

An online survey was conducted from January 10 to February 5, 2019, involving 3,684 medical staff (female: 84.9%; mean age: 31.6 ± 7.7; age range: 18-72). Sleep quality was measured by the Chinese version of the Pittsburgh Sleep Quality Index (C-PSQI). Sociodemographic, occupational characteristics, and personal lifestyle factors were measured by standard questions. Binary logistic regression analyses were used to determine the factors associated with sleep quality.

Results

57.9% (95% CI: 56.3-59.5%) of the study population experienced poor sleep quality (C-PSQI > 5). Binary logistic regression showed that poor sleep quality were associated with lower level of education, higher level of hospital care, longer weekly working hours, more than 30 min of cell phone use at bedtime, shift work (OR 1.33, 95% CI[1.12-1.58], P = 0.001), lack of regular naps (OR 1.46, 95% CI[1.26-1.69], P < 0.001) and lack of routine exercise (OR 1.69, 95% CI[1.46-1.97], P < 0.001).

Conclusions

Poor sleep quality is highly prevalent among medical staff in mainland China. The findings indicate that appropriate strategies, such as implementing regular breaks, regulating overtime work and vacation interruptions, as well as developing exercise programs, relaxation training, and stress-management programs could help improve the sleep quality of medical staff.

Research priorities to reduce risks from work hours and fatigue in the healthcare and social assistance sector

BACKGROUND

The services of Healthcare and Social Assistance (HCSA) workers are needed by society around the clock. As a result, these workers are exposed to shift work and long work hours. The combination of demanding work schedules and other hazards in the HCSA work environment increases the health and safety risks to these workers, as well as to their patients/clients and the public.

METHODS

This paper has three aims: (1) provide an overview of the burden of shift work, long hours, and related sleep and fatigue problems in this sector; (2) suggest research priorities that would improve these; and (3) discuss potential positive impacts of addressing these research priorities for the health and safety of workers and the public. The authors used a modified Delphi approach to anonymously rank-order priorities for improving HCSA worker health and safety and public safety. Input was also obtained from attendees at the 2019 National Institute for Occupational Safety and Health (NIOSH) Work Hours, Sleep, and Fatigue Forum.

RESULTS

The highest rated research priorities were developing better designs for work schedules, and improving the HCSA culture and leadership approaches to shift work and long work hours. Additional priorities are identified.

CONCLUSION

Research in these priority areas has the potential to benefit HCSA workers as well as their patients/clients, employers, and society.

Sleep Quality Worsens While Perceived Stress Improves in Healthcare Workers over Two Years during the COVID-19 Pandemic: Results of a Longitudinal Study

The purpose of the study was to measure changes in sleep quality and perceived stress and their interrelationships in a sample of healthcare workers two years post the COVID-19 pandemic. Using a cohort design, data were collected from frontline healthcare workers (FLHCW, n = 70) and non-frontline healthcare workers (NFLHCW, n = 74) in April 2020 (T1) and in February 2022 (T2). The Pittsburgh Sleep Quality Index (PSQI) and the Perceived Stress Scale (PSS-10) were administered at both time points. There were no differences in sleep quality or perceived stress between FLHCW and NFLHCW at either timepoint. For the entire sample, the PSQI scores at T2 were significantly higher than at T1 (7.56 ± 3.26 and 7.25 ± 3.29, respectively) (p = 0.03, Cohen's d = 0.18). PSS-10 scores at T2 were significantly lower than at T1 (19.85 ± 7.73 and 21.13 ± 7.41, respectively) (p = 0.001, Cohen's d = 0.78). Baseline sleep quality PSQI (T1) was a significant predictor for changes in sleep quality. During the initial months of the outbreak of the COVID-19 pandemic, poor sleep quality and perceived stress were common for healthcare workers. Two years into the pandemic, the perceived stress was reduced, but sleep quality worsened.

Factors Associated with Gastrointestinal Symptoms among Rotating Shift Nurses in South Korea: A Cross-Sectional Study

Rotating shift work places a serious burden on nurses' physical and psychological health. Gastrointestinal (GI) symptoms are a common complaint among shift workers. This study assessed GI symptoms and identified the associations between dietary habits, psychological status, and sleep quality among rotating shift nurses. Data from 125 female nurses in rotating shifts who worked at two tertiary hospitals in South Korea were collected using a questionnaire that included the Gastrointestinal Symptoms Questionnaire; the Dietary Habit Questionnaire; the Depression, Anxiety, Stress Scale (DASS)-21; and the Pittsburgh Sleep Quality Index (PSQI). All participants experienced various GI symptoms, and 47% of them complained of at least one severe GI symptom. There were significant differences in GI symptom scores according to the status of depression, anxiety, stress, and sleep quality. In multiple linear regression analysis, the factors associated with an increase in the occurrence and severity of GI symptoms were poor sleep quality and morbid anxiety and stress. The model explained power at 43.2%. As most nurses in rotating shifts experience GI symptoms, they should receive counseling and training programs at work to alleviate psychological symptoms, improve sleep quality, and pay more attention to their health status as well as GI symptom management.

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.

Perceived sleep quality: a comparison between hospital nurses and student nurses

BACKGROUND

The prevalence of poor sleep quality is high among nurses, and affects them physically and psychologically as well as organisational functioning. However, evidence on equipping student nurses with good sleep practices that could mitigate poor sleep as they transition into the nursing workforce is lacking.

AIM

This study compared the prevalence and quality of good sleep among hospital nurses and student nurses.

METHODS

A descriptive cross-sectional study of 130 hospital nurses and 130 student nurses in Brunei was carried out. Sleep quality was assessed using the Pittsburgh Sleep Quality index. Multiple logistic regression was applied.

RESULTS

Hospital nurses were 4.29 times more likely to experience poor sleep than student nurses. Those who were overweight were 2.35 times more likely to have poor sleep quality than those with a healthy weight. Although students had significantly good sleep latency, needing less time to fall asleep, they experienced significantly more sleep disturbances, shorter sleep duration and less sleep efficiency.

CONCLUSION

The prevalence of poor sleep quality among nurses in Brunei is higher than global estimates. Stakeholders such as nursing leaders, nursing educators and healthcare policymakers should prepare student nurses and help existing nurses by formulating strategies to promote working schedules and rosters that minimise circadian disruption.

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.

The association between chronotype and sleep quality among female home care workers performing shift work

There is a scarcity of evidence on the association between shift work, sleeping parameters, heart rate variability (HRV), and chronotype, i.e., morningness and eveningness. The aims of this study were to 1) compare participants with different chronotypes (morning (M), evening (E), or neither (N)) in terms of their total sleep time, sleep efficiency, and HRV parameters, taking their age into account, and 2) examine whether self-reported work-related stress, the length of the working career and years performing shift work affect this association. The participants of the study were home care workers working in two shifts in one municipality in Eastern Finland (N = 395). Of these, 52 females (mean age 42.78 y, SD 12.92 y) completed the study questionnaire and participated in physiological measurements. Several sleep-related parameters were assessed (total sleep time, sleep efficiency, number of awakenings, and length of awakening) and indices of autonomic nervous system based on HRV were calculated. The participants worked in two shifts: a morning shift (7:00-15:00 h) and an evening shift (14:00-21:30 h). All these parameters were assessed during the night before the first work shift (N1), the night before the second work shift (N2), the night before the final work shift (N3), and the night before the first day off work (N4). According to the results, 21.2% of the participants were M-types, 17.3% were E-types, and 61.5% were N-types. On average, the participants had been in working life for 18.8 years and performing shift work for 13.7 years. On night N3, E-types had a significantly shorter total sleep time and spent less time in bed compared to M- and N-types. The total sleep time of M-type and N-type participants was on average 66 minutes and 82 minutes longer, respectively, when compared to E-types on night N3. There were no statistically significant differences in actigraphy-based sleep quality parameters between M-, N-, and E-types on nights N1, N2, and N4. Our results together indicate that M- and N-type individuals may have better sleep quality than E-types, which was also reflected in HRV parameters. Further research with longitudinal study design and workplace interventions is needed to determine how the chronotype can be optimally and individually utilized to improve the health and well-being of morning-type and evening-type people. This is particularly important for both younger and older workers entering the workforce to support healthier and longer working lives.

Football and Zumba Training in Female Hospital Staff: Effects after 12 and 40 Weeks on Self-Reported Health Status, Emotional Wellbeing, General Self-Efficacy and Sleep Problems

Background: This 40-weeks intervention study evaluates the effects on self-reported health status, emotional wellbeing, general self-efficacy and sleep problems among female hospital employees. Methods: 107 employees were cluster-randomized into three groups; football (FG), Zumba (ZG) and control (CG). Outcome measurements were conducted at baseline, 12 and 40 weeks. Weekly training frequencies in the first 12 and next 28 weeks were 2.4 ± 0.3 and 0.8 ± 0.2 in FG and 2.3 ± 0.3 and 0.9 ± 0.2 in ZG. Results: Compared to the CG, the ZG showed significant improvement in self-reported health status (p = 0.025), a reduced frequency of poor and restless sleep (on a 0–4 scale) (p = 0.004), as well as a tendency for reduction in the frequency of problems falling asleep (p = 0.055) and overall sleep problems (p = 0.051). Between baseline and 12 weeks, both the FG (p = 0.017) and the ZG (p = 0.017) showed within-group improvements in emotional wellbeing, whereas this improvement was maintained only in the ZG between baseline and 40 weeks (p = 0.002). The FG showed a significant within-group improvement in general self-efficacy (p = 0.012) between baseline and 12 weeks follow-up, with no such improvements in the other groups. Conclusion: The present findings revealed that a physical activity intervention with Zumba as well as football training may improve mental health and sleep outcomes in female hospital staff.

Sleep quality and associated factors among nurses working at comprehensive specialized hospitals in Northwest, Ethiopia

BACKGROUND

Poor sleep quality is common among nurses. This problem possibly results in negative emotional and psychological consequences in nurses which secondary affect their work performances. However, in Ethiopia, there is a paucity of information about poor sleep quality and associated factors among nurses. This study aimed to assess the prevalence of poor sleep quality and associated factors among nurses working at comprehensive specialized hospitals in Northwest Ethiopia.

METHODS

An institutional-based cross-sectional study was conducted among 542 nurses who worked at University of Gondar (UOG), Tibebe Ghion, Felege Hiwot Comprehensive Specialized Hospitals, Ethiopia, who were incorporated into the study through a simple random sampling technique from 1 May to 2 June 2021. The Pittsburgh sleep quality index (PSQI) with a cut score of above 5 was used to assess sleep quality using a structured self-administered questionnaire. Other tools used are Depression Anxiety Stress Scales (DASS-21), Shift Work sleep disorders (SWSD), and Oslo-3 social support scales. Epi-Data version 3.1 was used for data entry and SPSS version 25 was used for data analysis. A multivariable logistic regression analysis was performed to identify variables that have a significant association with poor sleep quality among nurse professionals. The degree of association was assessed using an odds ratio (OR) with a 95% confidence interval (CI) at a two-tailed p-value of <0.05.

RESULTS

A total of 510 nurses were included in the study with a response rate of 94%. The study showed that the overall prevalence of poor sleep quality among nurses was 75.5% (95% CI (71.8, 79.1). Being female (AOR = 1.72:95% CI = 1.19, 2.28), depressive symptoms (AOR = 2.24:95% CI = 1.24, 3.85), anxiety symptoms (AOR = 2.12: 95% CI = 1.23, 3.62), stress (AOR = 2.85: 95% CI = 1.67, 4.82) and current alcohol drinking (AOR = 1.84 :95% CI = 1.27, 3.13) were significantly associated with poor sleep quality.

CONCLUSION

The overall prevalence of poor sleep quality among nurses was high. Being female, depressive symptoms, anxiety symptoms, stress, and current alcohol drinking had been significantly associated with poor sleep quality. Therefore, it is essential to institute effective intervention strategies emphasizing contributing factors to poor sleep quality.

Reiki for promotion of health and sleep quality in hospital nursing professionals

ABSTRACT Objectives: to know the repercussions of a Reiki therapy intervention on the sleep quality of nursing professionals working in a general hospital. Methods: a qualitative-quantitative study conducted with 16 professionals from the nursing team of a hospital in northwest Paraná, who participated in an intervention consisting of six weekly Reiki sessions. Data collected from September, 2019 to March, 2020 through semi-structured interviews and application of the Pittsburgh Sleep Quality Index before and after the intervention. Results: better sleep quality, characterized by a reduction in the time to fall asleep and in nightmares, and an increase in sleeping hours. Conclusions: reiki intervention had a positive impact on the sleep quality of participants.

Reiki para promoção da saúde e qualidade do sono em profissionais de enfermagem de hospital

RESUMO Objetivos: conhecer as repercussões de intervenção com sessões de reiki na qualidade do sono de profissionais de enfermagem atuantes em um hospital geral. Métodos: estudo de abordagem quali-quantitativa realizado com 16 profissionais da equipe de enfermagem de um hospital no noroeste do Paraná que participaram de uma intervenção constituída por seis sessões semanais de reiki. Dados coletados de setembro/2019 a março/2020, mediante entrevista semiestruturada e aplicação do Índice de Qualidade do Sono de Pittsburgh antes e após o término da intervenção. Resultados: melhora na qualidade do sono, caracterizada por redução do tempo para adormecer e dos pesadelos e aumento nas horas dormidas. Conclusões: a intervenção com reiki repercutiu de forma positiva sobre a qualidade do sono das participantes.

Sleep Dysfunction in COVID-19 Patients: Prevalence, Risk Factors, Mechanisms, and Management

During the COVID-19 pandemic, the need to establish the prevalence of sleep dysfunction and psychological distress, identify predisposing and protective factors, and explore effective management strategies remains an important priority. Evidence to date suggests that a considerable proportion of COVID-19 patients experience significant sleep disturbances (estimated to afflict up to 50-75%) as well as psychological distress such as depression, anxiety, and traumatic stress. Duration of hospitalization, pre-existing mental health concerns, lower absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio have been all associated with a greater risk of sleep dysfunction in infected and hospitalized patients. Furthermore, in this review, we discuss the link between sleep deprivation, susceptibility to viral infections, and psychosocial wellbeing in relevance to COVID-19 and summarize the existing evidence regarding the presence and role of sleep apnea in infected individuals. Finally, we highlight the importance of suitable interventions in order to prevent and manage sleep dysfunction and avoid long-term physical and psychological implications. Future research should aim to provide high-quality information including in high risk, underserved, or difficult to reach populations and on the long-term consequences and effectiveness of applied interventions.

Sleep quality and related factors in a sample of Turkish healthcare workers during the COVID-19 pandemic: A cross-sectional study

BACKGROUND

Increasing workloads and psychological pressure have led to fatigue among healthcare workers during the COVID-19 pandemic. Increasing stress and social isolation can also lead to sleep problems. The purpose of this study was to evaluate sleep quality and related factors among healthcare workers during the COVID-19 pandemic in Turkey.

METHODS

The data in this cross-sectional study were collected using an online questionnaire. This included sociodemographic data, the Multidimensional Scale of Perceived Social Support, the National Stressful Events Survey PTSD Short Scale and the Pittsburgh Sleep Quality Index.

RESULTS

Two hundred seventy-eight physicians, 104 nurses and 52 dentists were enrolled. The total prevalence of poor sleep quality was 56.7%. The prevalence of poor sleep quality was 67.3% in nurses, 55.4% in physicians and 42.3% in dentists. Poor sleep quality was more prevalent among women, nurses, hospital workers, frontline workers, individuals with <5 years of work experience, those with low social support and individuals with increased traumatic stress levels. High levels of social support and family social support were identified as protective factors against poor sleep quality. Multivariate regression analyses showed that poor sleep quality was significantly associated with working in hospitals and high traumatic stress levels during the COVID-19 pandemic.

CONCLUSIONS

Poor sleep quality was common among healthcare workers during the COVID-19 pandemic. Working in hospitals and high traumatic stress levels were identified as factors associated with poor sleep quality.

Sleep patterns of US healthcare workers during the first wave of the COVID-19 pandemic

Purpose

During the first few months of the COVID-19 outbreak, healthcare workers (HCW) faced levels of personal risk, emotional distress, and professional strain not seen in their lifetimes. This study described how these stressors influenced various aspects of their sleep patterns.

Methods

From May 19 to June 20, 2020, an electronic, cross-sectional survey was administered to a convenience sample of in- and outpatient HCW in a large, nonprofit healthcare system. Respondents described the pandemic’s initial impact on personal and professional life and various sleep dimensions: regularity, efficiency, duration, timing, quality, and daytime sleepiness.

Results

Two hundred seven providers responded, representing 17 different healthcare roles. Most (82%) were women with a median age of 39 years (IQR1–3, 31–53). A majority of respondents (81%) worked in an inpatient setting, with half (46%) primarily on the “frontline.” Approximately one-third of respondents (37%) were physicians and one-quarter (28%) were nurses. Overall, 68% of HCW reported at least one aspect of sleep worsened during the beginning of the pandemic; the most impacted were daytime sleepiness (increased in 43%) and sleep efficiency (worse in 37%). After adjusting for COVID exposure and burnout, frontline providers had twofold higher odds of poor pandemic sleep, aOR 2.53, 95%CI 1.07–5.99. Among frontline providers, physicians were fivefold more likely to develop poor pandemic sleep compared to nurses (OR 5.73, 95%CI 1.15–28.57).

Conclusions

During the initial wave of COVID-19, a majority of HCW reported a decline in sleep with an increase in daytime sleepiness and insomnia. Frontline workers, specifically physicians, were at higher risk.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11325-021-02515-9.

Sleep status of psychiatric nurses: A survey from China

Aim

Our study aimed to evaluate the sleep status of psychiatric nurses in Chinese population and analyse the influencing factors.

Design

Cross‐sectional, correlation design with logistic regression analysis.

Methods

We investigated 1,044 psychiatric nurses from seven psychiatric hospitals in China. Pittsburgh Sleep Quality Index and Maslach Burnout Inventory General Survey were used as main measures.

Results

The average Pittsburgh Sleep Quality Index score of 1,044 psychiatric nurses was 7.00 ± 3.59, and 38.63% of nurses had a total Pittsburgh Sleep Quality Index score >7. Our study found that middle‐night shift nurses had poor sleep quality and sleep disorders are positively correlated with emotional exhaustion and cynical disregard for job burnout. Middle‐night shift nurses showed 1.586 times more likely to suffer from sleep disorders than those non‐middle‐night shift. The higher the score of emotional exhaustion, the greater the risk of sleep disorders.

Sleep patterns among Norwegian nurses between the first and second wave of the COVID-19 pandemic

Background

Nurses are in the frontline and play an important role in the battle against the COrona VIrus Disease-2019 (COVID-19) pandemic. Sleep problems among health care workers are likely to increase due to the pandemic. However, it is conceivable that negative health outcomes related to the pandemic fluctuate with the infection rate waves of the pandemic. The present study aimed to investigate sleep patterns among Norwegian nurses, after the first wave, during a period with very low rates of COVID-19.

Methods

Data stemmed from the cohort study “SUrvey of Shift work, Sleep and Health (SUSSH)” among Norwegian nurses. A total of 1532 nurses responded one time to a questionnaire between June and September in 2020 including items about demographics and work, information about COVID-19 and quarantine, sleep patterns and changes in sleep patterns due to the pandemic. Descriptive statistics for all relevant variables were calculated and McNemar tests were used to compare categorical variables.

Results

The majority of nurses (84.2%) reported no change in sleep duration after the first wave of the COVID-19 pandemic compared to before, 11.9% reported less sleep, and 3.9% reported more sleep. Similarly, 82.4% of the nurses reported no change in their sleep quality, whereas 16.2% of the nurses reported poorer sleep quality after the first wave of the pandemic compared to before. The majority of nurses reported no change in their sleep schedule due to the pandemic, although 9.6% of the nurses reported to go to bed later and 9.0% woke up earlier than before the pandemic.

Conclusions

Most existing literature exploring sleep among health care workers during the COVID-19 pandemic has been carried out during periods with high infection rates. In this study we aimed to investigate sleep patterns among Norwegian nurses following the first wave, during a period of low COVID-19 rates in Norway. Most of the nurses reported no change in neither sleep duration, sleep quality, bedtime, nor wake-up times compared to before the pandemic. Still, nearly 12% reported shorter sleep duration, and about 16% reported poorer sleep quality indicating that some nurses experienced worsening of their sleep following the pandemic.

Sleep problems during COVID-19 pandemic and its' association to psychological distress: A systematic review and meta-analysis

BACKGROUND

The emerging novel coronavirus disease 2019 (COVID-19) has become one of the leading cause of deaths worldwide in 2020. The present systematic review and meta-analysis estimated the magnitude of sleep problems during the COVID-19 pandemic and its relationship with psychological distress.

METHODS

Five academic databases (Scopus, PubMed Central, ProQuest, ISI Web of Knowledge, and Embase) were searched. Observational studies including case-control studies and cross-sectional studies were included if relevant data relationships were reported (i.e., sleep assessed utilizing the Pittsburgh Sleep Quality Index or Insomnia Severity Index). All the studies were English, peer-reviewed papers published between December 2019 and February 2021. PROSPERO registration number: CRD42020181644.

FINDINGS

168 cross-sectional, four case-control, and five longitudinal design papers comprising 345,270 participants from 39 countries were identified. The corrected pooled estimated prevalence of sleep problems were 31% among healthcare professionals, 18% among the general population, and 57% among COVID-19 patients (all p-values < 0.05). Sleep problems were associated with depression among healthcare professionals, the general population, and COVID-19 patients, with Fisher's Z scores of -0.28, -0.30, and -0.36, respectively. Sleep problems were positively (and moderately) associated with anxiety among healthcare professionals, the general population, and COVID-19 patients, with Fisher's z scores of 0.55, 0.48, and 0.49, respectively.

INTERPRETATION

Sleep problems appear to have been common during the ongoing COVID-19 pandemic. Moreover, sleep problems were found to be associated with higher levels of psychological distress. With the use of effective programs treating sleep problems, psychological distress may be reduced. Vice versa, the use of effective programs treating psychological distress, sleep problems may be reduced.

FUNDING

The present study received no funding.

Mental health service use and its associated factors among nurses in China: a cross-sectional survey

Background

To facilitate mental health service planning for nurses, data on the patterns of mental health service use (MHSU) among nurses are needed. However, MHSU among Chinese nurses has seldom been studied. Our study aimed to explore the rate of MHSU among Chinese nurses and to identify the factors associated with MHSU.

Methods

A self-designed anonymous questionnaire was used in this study. MHSU was assessed by the question, “Have you ever used any kind of mental health services, such as mental health outpatient services or psychotherapies, when you felt that your health was suffering due to stress, insomnia, or other reasons?” The answer to the question was binary (yes or no). Sleep quality, burnout, and depressive symptoms were assessed using the Chinese version of the Pittsburgh Sleep Quality Index , the Chinese version of the Maslach Burnout Inventory-General Survey and the two-item Patient Health Questionnaire, respectively. Chi-square tests and binary logistic regression were used for univariate and multivariate analyses.

Results

A total of 10.94% (301/2750) of the nurses reported MHSU. 10.25% (282/2750) of the nurses had poor sleep quality, burnout and depressive symptoms, and only 26.95% of these nurses reported MHSU. Very poor sleep quality (OR 9.36, 95% CI [5.38-16.29]), mid-level professional title (OR 1.48, 95% CI [1.13-1.93]) and depressive symptoms (OR 1.66, 95% CI [1.28-2.13]) were independent factors associated with MHSU.

Conclusions

Most of the nurses have experienced burnout, poor sleep quality or depressive symptoms and the MHSU rate among them was low. Interventions to improve the mental health of nurses and to promote the use of mental health services are needed.

Association between community-based and workplace violence and the sleep quality of health professionals: a cross-sectional study

Community-based and workplace violence against health professionals has caused feelings of vulnerability, emotional exhaustion, and psychological changes, reflecting on sleep quality disorders. Thus, we aimed to analyze the association between community and workplace violence and the sleep quality of health professionals working in primary health care. The study was conducted with 286 health professionals who worked in PHC in one of the largest cities in Brazil. The primary outcome was sleep quality as assessed by the Pittsburgh Sleep Quality Index. Most of the participants (69.2%/p=0.074) were classified as "bad sleepers", and nurses (73.3%/p=0.049) showed the worst sleep quality. Additionally, most professionals suffered some type of violence at work (p<0.001), which impaired professional activities (p=0.010), forcing them to change their behavior (p<0.001) and consider changing the workplace location (p=0.051). The results showed that professionals have been experiencing moments of fear, anxiety, and stress associated with workplace and community violence. This highlights the need for public policies geared to occupational health.

Sleep problems during the COVID-19 pandemic by population: a systematic review and meta-analysis

STUDY OBJECTIVES

No systematic review or meta-analysis has yet been conducted to examine the impact of the pandemic on the prevalence of sleep problems among the general population, health care workers, or patients with COVID-19. Therefore, this systematic review was conducted to assess the impact and prevalence of sleep problems among those categories.

METHODS

American Psychological Association PsycINFO, Cochrane, Cumulative Index to Nursing and Allied Health Literature (CINAHL), EBSCOhost, EMBASE, Google Scholar, MEDLINE, ProQuest Medical, ScienceDirect, Scopus, and Web of Science from November 1, 2019 to July 5, 2020 were used. Additionally, 5 preprints servers (medRxiv.org; preprints.org; psyarxiv.com; arXiv.org; biorxiv.org) were also searched for papers accepted after peer review but not yet published and indexed. There was no language restriction. The random-effect models meta-analysis model was used with the DerSimonian and Laird methodology.

RESULTS

Forty-four papers, involving a total of 54,231 participants from 13 countries, were judged relevant and contributed to the systematic review and meta-analysis of sleep problems during COVID-19. The global pooled prevalence rate of sleep problems among all populations was 35.7% (95% confidence interval, 29.4-42.4%). Patients with COVID-19 appeared to be the most affected group, with a pooled rate of 74.8% (95% confidence interval, 28.7-95.6%). Health care workers and the general population had comparative rates of sleep problems, with rates of 36.0% (95% confidence interval, 21.1-54.2%) and 32.3% (95% confidence interval, 25.3-40.2%), respectively.

CONCLUSIONS

The prevalence of sleep problems during the COVID-19 pandemic is high and affects approximately 40% of people from the general and health care populations. Patients with active COVID-19 appeared to have a higher prevalence rates of sleep problems.

Sleep and Association With Cardiovascular Risk Among Midwestern US Firefighters

INTRODUCTION

Cardiovascular disease is the leading cause of on-duty fatalities among U.S. firefighters. Research has demonstrated that many modifiable risk factors are contributors to the high prevalence of cardiometabolic risk factors. The current study aimed to assess whether sleep is associated with cardiometabolic risk factors among Indianapolis firefighters. The findings could support improving sleep hygiene in this population.

MATERIAL AND METHODS

This cross-sectional study was conducted from the baseline data of eligible firefighters enrolled in "Feeding America's Bravest", a Mediterranean diet lifestyle intervention within the Indiana Fire Departments. Participants' sleep quality was categorized as "good" (≤ 8 points) or "bad" (>8 points) by a sleep quality questionnaire based on some questions from Pittsburgh Sleep Quality Index. In addition, firefighters' sleep duration was stratified based on the number of hours slept per night (≤6 as "short sleep" or >6 hours as normal). Linear and logistic regression models were used to examine the association of sleep with cardiometabolic risk factors.

RESULTS

A total of 258 firefighters were included. Bad sleepers had higher weight, greater waist circumference, higher body mass index (BMI), and increased body fat (all p<0.01) compared to good sleepers. Similarly, participants with short sleep duration were heavier (p<0.02), had greater BMI (p<0.02) and increased body fat (p<0.04) compared with participants with normal sleep duration. Both bad and short sleepers had a higher prevalence of hypertension and obesity (p <0.05).

CONCLUSIONS

Our study supports that both sleep quality and quantity are associated with cardiometabolic risk among firefighters.

Sleep disturbances among physicians during COVID-19 pandemic

OBJECTIVES

To assess prevalence and related factors of sleep disturbances among Saudi physicians during COVID-19 pandemic. Data were collected through a questionnaire including items about demographic characters, knowledge about covid-19 and items to assess sleep quality that were extracted from Pittsburgh Sleep Quality Index (PSQI) scale.

RESULTS

Prevalence of sleep disorders was 43.9%, doctors in the age group of 31-40 years, associate consultants had a significant higher prevalence of sleep disorders. Medical interns and laboratory/pathology/microbiology doctors had a significant more difficulty in fall asleep during COVID-19, and internists and surgeons had a significant higher percent of those who used sleeping pills. Resident doctors had a significant higher percent of having trouble in staying awake, and residents and consultants had a significant higher percent of those who suffered decreased sleep duration. Sleep quality during COVID-19 was very good, fair good and very bad in 23.4%, 60% and 3.5% of HCW respectively. The study observed a negative impact of COVID-19 pandemic on HCW sleep quality. Hospitals administrations should provide optimal working hours with enough break and employ more doctors during the pandemic. Doctors experiencing sleep problems should have mandatory leaves.