Sleep disturbances among Chinese clinical nurses in general hospitals and its influencing factors

Stress mindset and nurses' sleep quality: mediating effects of stress overload and anxiety

BACKGROUND

Previous studies have shown that overall sleep quality among Chinese nurses is relatively low, with a sleep disorder prevalence rate of approximately 66.4%. Against the backdrop of healthcare reforms, China has been striving to improve the mental health and sleep quality of nurses. Stress mindset can influence how individuals respond to stress, but there is limited research on how stress mindset affects nurses' sleep quality. This study aims to explore the impact of stress mindset on sleep quality among nurses, as well as the mediating roles of stress overload and anxiety in this relationship.

METHODS

The study was conducted online using a questionnaire from February 18 to February 22, 2024. It utilized the Stress Mindset Measure (SMM), the Stress Overload Scale-Short (SOS-S), the Generalized Anxiety Disorder 7-item scale (GAD-7), and the Pittsburgh Sleep Quality Index (PSQI) to survey 441 nurses in three regions of China: Chongqing, Hunan, and Shandong (M = 34.39, SD = 7.82, 95.7% female). A chain mediation model was employed to examine the mediating roles of stress overload and anxiety in the relationship between stress mindset and sleep quality.

RESULTS

The participants' average sleep quality score was 7.18 ± 3.47. Nurses' stress mindset was significantly negatively correlated with both stress overload and anxiety, and significantly positively correlated with sleep quality. Stress overload was significantly positively correlated with anxiety and significantly negatively correlated with sleep quality. Anxiety was also significantly negatively correlated with sleep quality. The direct effect of nurses' stress mindset on sleep quality was significant (effect size = -0.10, 95% CI: -0.19 to -0.01), as were the indirect effects through stress overload (effect size = -0.05, 95% CI: -0.11 to -0.01) and anxiety (effect size = -0.09, 95% CI: -0.13 to -0.05), along with their chain mediation effect (effect size = -0.10, 95% CI: -0.14 to -0.06).

CONCLUSION

Our study demonstrates that a higher level of nurses' stress mindset is associated with better sleep quality, with stress overload and anxiety mediating this relationship. A positive stress mindset helps nurses cope more effectively with professional challenges and reduces anxiety, leading to improved sleep quality. Healthcare institutions should therefore prioritize fostering positive stress mindsets in nurses, encouraging regular psychological training and workshops to support the development of effective coping strategies.

Sleep patterns and their associations with psychiatric symptoms among Chinese healthcare workers: a latent profile analysis

Background

Healthcare workers often encounter inadequate sleep conditions. However, limited research has examined the underlying sleep patterns among healthcare workers. This study aimed to identify sleep patterns in healthcare workers, explore predictors associated with various sleep patterns, and investigate the relationship between sleep patterns and psychiatric symptoms.

Methods

This cross-sectional study was conducted in Shenzhen, China, from April 2023 to June 2023. In total, data from 1,292 participants were included using a convenience sampling method. A latent profile analysis was conducted to identify sleep patterns based on the seven dimensions of the Pittsburgh Sleep Quality Index. Multinomial logistic regression analysis was conducted to investigate the influence of socio-demographic variables on each profile. A one-way ANOVA test was employed to examine the relationships between sleep patterns and psychiatric symptoms.

Results

Three distinct profiles were identified: good sleepers (63.9%), inefficient sleepers (30.3%), and poor sleepers (5.7%). Multinomial logistic regression analysis indicated that gender and marital status were predictors of various sleep patterns. The ANOVA revealed significant differences in psychiatric symptoms scores among the three sleep patterns; poor sleepers exhibited the highest levels of mental distress.

Conclusion

This study identified three distinct sleep patterns in healthcare workers and their significant associations with psychiatric symptoms. These findings contribute to the development of targeted intervention strategies aimed at improving sleep and reducing psychiatric symptoms among healthcare workers.

Effects of Auricular Acupressure on Pain and Stress in Nursing College Students With Cervical Pain: A Single-Blind Placebo-Controlled Trial

PURPOSE

This study aimed to examine the effects of auricular acupressure (AA) on neck pain and stress in nursing students with neck pain.

METHODS

This single-blind, randomized, and placebo-controlled comparative pretest-posttest study involved administering AA for four weeks. The subjects included nursing students experiencing neck pain. The experimental group comprised 17 subjects, and the control group comprised 14 subjects. In the experimental group, AA was applied to the Shenmen, cervical vertebrae, shoulder, and liver areas to improve neck pain and reduce stress. In the control group, AA was applied to the anus, rectum, urethra, and external genitalia areas, which are not associated with neck pain and stress. To assess the intervention effects, NRS (Numeric Rating Scale), NDI (Neck Disability Index), and PSS (Perceived Stress Scale) scores were measured.

RESULTS

The NRS scores in the experimental group with AA significantly decreased over time (F = 7.463, p < .001). The between group and group-by-time interaction results were F = 8.564, p = .007 and F = 3.252, p = .025, respectively. The NDI scores in the experimental group showed a statistically significant difference between the groups (F = 13.762, p = .001); however, there were no significant differences over time or in the group-by-time interaction (F = 1.086, p = .347) (F = .301, p = .757). The PSS scores in the experimental group decreased significantly over time (F = 5.557, p = .013), but there were no significant differences between the groups (F = .636, p = .432) or in the group-by-time interaction (F = .063, p = .891).

CONCLUSION

AA applied for four weeks was found to be safe, noninvasive, and effective in reducing neck pain in nursing students with cervical pain.

Sleep Quality and its Associated Factors among Nurses in a Tertiary Care Public Hospital in Puducherry District: A Cross-sectional Study

Background

Adequate sleep is essential for human beings to maintain optimal health. Medical professionals, including nurses, work in stressful environments that could affect their sleep quality. The objective of this study was to determine the prevalence and the factors associated with poor sleep quality among nurses in a tertiary care public hospital.

Materials and Methods

This cross-sectional analytical study was conducted on 1217 nurses aged between 21 and 60 years from May 2019 to April 2020 in a tertiary care public hospital in Puducherry. Sleep quality was assessed using the Pittsburgh sleep quality index scoring system, and the workplace stress scale was used to assess workplace stress. The Chi-squared test and adjusted Prevalence Ratio (aPR) were used to determine the factors associated with poor sleep quality.

Results

The response rate was 99% (1217/1229), and three-fourths of the participants were women (943, 77.50%). The mean (SD) PSQI score was 4.49 (2.98), and more than one-third of participants, 42.80% (95% CI: 40.10-45.70), had poor sleep quality. The prevalence of poor sleep quality was significantly higher among women (z = 2.33, p = 0.019) aPR (95% CI): 1.08 (1.01-1.16), those having severe to dangerous levels of workplace stress (z = 8.22, p > 0.001) aPR (95% CI): 1.54 (1.39-1.71) and chronic pain (z = 2.11, p = 0.016) aPR (95% CI): 1.09 (1.02-1.17).

Conclusions

The prevalence of poor sleep quality among the study population was high. This highlights the urgent need for implementing health promotion programs among nurses.

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

Objective

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

Methods

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

Results

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

Conclusion

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

Prevalence and factors associated with the poor quality of sleep among Indian nurses

BACKGROUND

Nursing health workers deal with a variety of issues that may have an unfavorable influence on their capability to peaceful sleep. The consequences of poor quality of the sleep can lead to increased fatigue, decreased concentration, and a higher risk of medical and nursing errors. The purpose of this research study was to determine in the occurrence and associated factors for poor quality of the sleep among Indian nurses.

MATERIALS AND METHODS

The participants in this cross-sectional study were selected by the use of a multi-stage sampling technique. A total of 25 hospitals (across 4 zones) were randomly sampled. A total of 850 (out of 1250) nurses participated in the study. To collect socio-demographic data, a self-administered questionnaire was employed. PSQI scale was implemented to assess quality of sleep, and the other scale of DASS-21 was used to assess mental well-being.

RESULTS

The majority of nurses had mild (6-7 hours) as well as moderate (5-6 hours) levels of difficulty in the duration of sleep time. The occurrence of poor quality of the sleep in nursing professionals is high. 9.2% had depression, 13.7% had anxiety, and 18.9% faced, which appears to be linked to insufficient sleep in the adjusted model. In the univariate study, additional night shifts and additional shift hours were substantially related to insufficient sleep.

CONCLUSION

Nurses' quality of sleep is substantially hampered due to various reasons, and nurse mangers should devise the framework to avoid its harmful effects and to provide desirable management and high-quality patient care.

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.

Assessment of the importance of sleep quality and the effects of deprivation on Sudanese healthcare professionals amidst conflict in Sudan

Background

Quality sleep is vital for well-being, especially for healthcare workers facing high risks of fatigue and burnout. Sleep deprivation impairs cognitive and motor functions, contributing to medical errors. Addressing sleep disorders among healthcare professionals is crucial for enhancing patient care. Tailored interventions are needed to support their well-being and improve healthcare outcomes.

Objective

To evaluate the effect of Sleep Quality and its Deprivation on Sudanese Healthcare Professionals amidst conflict in Sudan.

Methods

A cross-sectional online survey of Sudanese doctors was conducted using convenience sampling. The questionnaire covered sleep quality, daytime sleepiness, and psychological well-being. Pilot testing ensured questionnaire clarity. Data collection utilized Google Forms distributed through social media and professional networks. A minimum sample size of 384 was calculated. Statistical analysis included descriptive statistics and various tests for significance. Data were securely stored and analyzed using SPSS and R software.

Results

Among 649 participants, 404 (62.2%) were women, with a mean age of 30.34 years. Most were single (434, 66.9%). General practitioners constituted the largest professional group (267, 41.1%), followed by registrars/residents (142, 21.9%). Participants took an average of 43.70 minutes to fall asleep and slept an average of 5.90 hours per night. According to the PSQI, 300 (46.2%) reported mild sleep disturbance, 287 (44.2%) moderate, 42 (6.5%) severe, and only 20 (3.1%) normal sleep. The ESS revealed 285 (43.9%) with lower normal daytime sleepiness, 188 (29.0%) with higher normal, and various levels of excessive daytime sleepiness. Stress levels varied, with 398 (61.3%) reporting normal stress, while anxiety ranged from 248 (38.2%) normal to 148 (22.8%) extremely severe.

Conclusion

This study emphasizes the importance of addressing sleep quality, mental health, and performance challenges among Sudanese healthcare professionals. It highlights the need for hospitals to implement measures enabling more time off, adequate sleep, and reduced on-call service days. Healthcare workers must recognize the significance of these factors for their well-being and patient care quality. The research outcomes can raise awareness about the necessity of regulating healthcare practitioners' working hours and ensuring adequate sleep.

Alcohol Use Predicts Longer But More Fragmented Sleep: A Daily Diary Study of Alcohol, Sleep, and PTSD in Nurses

BACKGROUND

Due to the demanding nature of their profession, nurses are at risk of experiencing irregular sleep patterns, substance use, and fatigue. Evidence supports a reciprocal relationship between alcohol use and sleep disturbances; however, no research has examined such a link in a sample of nurses. One factor that may further impact the dynamic between alcohol and sleep patterns is posttraumatic stress disorder (PTSD) symptoms. We investigated the daily bidirectional associations between alcohol use and several sleep domains (i.e., self-report and actigraphy-determined sleep), and moderation by baseline PTSD symptom severity.

METHOD

Over a 14-day period, 392 nurses (92% female; 78% White) completed sleep diaries and actigraphy to assess alcohol use and sleep patterns. Within-person bidirectional associations between alcohol and sleep were examined using multilevel models, with symptoms of PTSD as a cross-level moderator.

RESULTS

Daily alcohol use (i.e., ≥ 1 alcoholic beverage; 25.76%) was associated with shorter self-reported sleep onset latency (b = -4.21, p = .003) but longer self-reported wake after sleep onset (b = 2.36, p = .009). Additionally, days with any alcohol use were associated with longer self-reported sleep duration (b = 15.60, p = .006) and actigraphy-determined sleep duration (b = 10.06, p = .037). No sleep variables were associated with next-day alcohol use. Bidirectional associations between alcohol consumption and sleep were similar regardless of baseline PTSD symptoms.

CONCLUSION

Our results suggested that on days when nurses drank alcohol, they experienced longer but also more fragmented sleep.

Effect of occupational stress and resilience on insomnia among nurses during COVID-19 in China: a structural equation modelling analysis

OBJECTIVES

To explore the effects of occupational stress and resilience on insomnia among Chinese nurses during the COVID-19 pandemic.

DESIGN, SETTINGS AND PARTICIPANTS

A quantitative description study. The data were collected via a cross-sectional survey. A total of 725 front-line nurses at three tertiary hospitals in western China were included from December 2022 to January 2023. The Connor-Davidson Resilience Scale, Job Content Questionnaire, and Athens Insomnia Scale were used to collect data from a self-reported online questionnaire.

OUTCOME MEASURES

The outcome variable was insomnia, and structural equation modelling was used to assess the associations among resilience, occupational stress and insomnia.

RESULTS

The prevalence of insomnia among the participants was 58.76%. The structural equation model showed that resilience had a negative direct effect on insomnia and occupational stress, and occupational stress had a positive direct effect on insomnia. Involvement in COVID-19-related work has a positive effect on insomnia through occupational stress. In contrast, higher education levels improved insomnia through increased resilience.

CONCLUSION

A significantly higher prevalence of insomnia has been observed among Chinese nurses during the COVID-19 pandemic. Our study suggests that better resilience may improve insomnia by relieving occupational stress, and implementing measures to promote resilience is essential to reduce occupational stress in nurses and improve their sleep quality.

A Spanish version of the Three-Dimensional Work Fatigue Inventory (3D-WFI): factor structure, internal consistency, and criterion validity

BACKGROUND

In the working population, there are risks of overload due to physical, mental, and emotional demands. No instrument is available in Spanish to measure these three types of work fatigue (WF) separately. This paper adapts the Three-Dimensional Work Fatigue Inventory (3D-WFI) (2015), which is of American origin and measures and differentiates these three different types of WF. It has adequate psychometric properties at its root, as do the subsequent German (2018), Lebanese (2022), and Chinese (2023) adaptations.

METHODS

A total of 1100 workers (average age = 40 years) from economic sectors such as security and transportation of valuables, secondary and university educational institutions, and healthcare centers participated. They responded to the 3D-WFI, the Health-Related Quality of Life Index, and the Individual Strength Checklist for concurrent validity effects, together with items with sociodemographic and lifestyle variables.

RESULTS

A confirmatory factor analysis with the total sample 3D-WFI supports its three-dimensionality; Cronbach's alpha and Omega values are adequate by dimensions: for physical work fatigue (α = 0.92, Ω = 0.92), for mental work fatigue (α = 0.94. Ω = 0.94), and emotional work fatigue (α = 0.95, Ω = 0.95). The 3D-WFI correlates significantly with the Checklist Individual Strength (0.743), and a pattern of significant relationships is found between WF and antecedent variables (e.g., being exposed to heat and noise, emotional labor, concentration, and workwear), as well as some consequences of WF (for example, mental health, absenteeism, work satisfaction, and sleep quality).

CONCLUSIONS

We contribute here to the cross-cultural validity of the 3D-WFI, which can be used reliably and validly in the Chilean and probably Latin American working population. Some WF predictor variables are confirmed, as well as WF impacts on the absenteeism, health, and quality of life among workers.

Sleep quality and shift work among Moroccan nurses: A cross-sectional study

BACKGROUND

Sleep is vital for physical and mental health. The nursing profession is often associated with unique challenges when it comes to sleep quality. Nurses are often faced with irregular work schedules, including night shifts and rotations, high-stress levels, and significant job demands that can contribute to sleep problems and hinder their productivity at work. This study aimed to assess sleep quality in Moroccan nurses and to investigate the relationship between sleep quality and shift work.

MATERIALS AND METHODS

This was a cross-sectional study carried out between August 8, 2022 and September 30, 2022 among 260 nurses working day or night shifts in the province of Tétouan, northern Morocco. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality in day and night shift nurses. Data on sociodemographic characteristics and shift work were also collected. Descriptive and inferential statistical analyses were performed. Regression models were used to study the association between participant characteristics and sleep quality.

RESULTS

Among all participants, 60.4% had poor sleep quality. The results of the study revealed that there was no significant association between shift work and sleep quality among nurses in Morocco.

CONCLUSION

Given that the majority of nurses suffer from sleep disorders, an action plan to raise awareness and promote good sleep in this population should be implemented.

The impact of night shift stress and sleep disturbance on nurses quality of life: case in Palestine Red Crescent and Al-Ahli Hospital

BACKGROUND

Nurses play a vital role in providing round-the-clock care to patients, but the challenges associated with working night shifts can have significant implications for their well-being and quality of life.

METHODS

This cross-sectional study aimed to investigate the impact of night shift stress and sleep disturbance on the quality of life among nurses working in Palestine Red Crescent Society and Al-Ahli Hospital. Convenience sampling was used to recruit 189 full-time registered nurses with at least one year of job experience. The participants completed a questionnaire assessing night shift stress, sleep disturbance, and quality of life. Descriptive statistics, correlation analysis, and path analysis were conducted to analyze the data.

RESULTS

The results reveal that quality of life has positive and low relationship with both night shift stress and sleep disturbances. Results also reveal that night shift stress had a direct negative impact on the quality of life of nurses. Sleep disturbance was found to mediate the relationship between night shift stress and quality of life, indicating that higher levels of night shift stress were associated with increased sleep disturbance, which, in turn, led to poorer quality of life outcomes.

CONCLUSION

These findings highlight the importance of addressing night shift stress and sleep disturbance among nurses to enhance their well-being and improve the quality of care provided to patients. In conclusion, this study contributes to the existing literature by demonstrating the detrimental effects of night shift stress and sleep disturbance on the quality of life of nurses. It emphasizes the importance of implementing interventions and creating supportive work environments that address the unique challenges faced by nurses working night shifts.

Sleep analysis of hospital and out-of-hospital emergency professionals

INTRODUCTION

Sleep deprivation is associated with poorer cognitive functioning and a greater risk of serious diseases. Herein, we analyzed differences in the quality of sleep and excessive daytime sleepiness between hospital emergency services and out-of-hospital emergencies services, and investigated its association with sociodemographic and labor variables.

METHOD

This is a cross-sectional observational study carried out between April 2019 and February 2020, including healthcare professionals from different emergency departments, who were evaluated through the following instruments: "Pittsburgh Sleep Quality Index" and "Epworth Sleepiness Scale".

RESULTS

Four-hundred and four healthcare professionals were included (mean age 40.4 ± 11.1 years), predominantly women (61.4%) from hospital emergency departments (62.6%). A total of 65.3% of the workers had poor sleep quality and 27.7% had excessive sleepiness. Women had poorer sleep quality (p = 0.022) and higher sleepiness (p = 0.010) than men. Hospital emergency workers presented 2-fold increased risk of poor sleep quality (OR = 1.93, p = 0.003) and sleepiness (OR = 1.93, p = 0.009) than out-of-hospital emergency workers. The more optimistic were less likely to have poor sleep quality (OR = 0.73, p = 0.01) or sleepiness (OR = 0.70, p = 0.002). Nurses, emergency medical technicians and nursing assistants also had a higher risk of poor sleep quality compared to physicians (OR = 1.60; p = 0.043).

CONCLUSIONS

Emergency healthcare professionals working in hospital emergency departments had a two-times higher risk of poor sleep quality and sleepiness than out-of-hospital emergency healthcare professionals.

Risk prediction of sleep disturbance in clinical nurses: a nomogram and artificial neural network model

BACKGROUND

Sleep disturbance occur among nurses at a high incidence.

AIM

To develop a Nomogram and a Artificial Neural Network (ANN) model to predict sleep disturbance in clinical nurses.

METHODS

A total of 434 clinical nurses participated in the questionnaire, a cross-sectional study conducted from August 2021 to June 2022.They were randomly distributed in a 7:3 ratio between training and validation cohorts.Nomogram and ANN model were developed using predictors of sleep disturbance identified by univariate and multivariate analyses in the training cohort; The 1000 bootstrap resampling and receiver operating characteristic curve (ROC) were used to evaluate the predictive accuracy in the training and validation cohorts.

RESULTS

Sleep disturbance was found in 180 of 304 nurses(59.2%) in the training cohort and 80 of 130 nurses (61.5%) in the validation cohort.Age, chronic diseases, anxiety, depression, burnout, and fatigue were identified as risk factors for sleep disturbance. The calibration curves of the two models are well-fitted. The sensitivity and specificity (95% CI) of the models were calculated, resulting in sensitivity of 83.9%(77.5-88.8%)and 88.8% (79.2-94.4%) and specificity of83.1% (75.0-89.0%) and 74.0% (59.4-84.9%) for the training and validation cohorts, respectively.

CONCLUSIONS

The sleep disturbance risk prediction models constructed in this study have good consistency and prediction efficiency, and can effectively predict the occurrence of sleep disturbance in clinical nurses.

Assessment of sleep quality and its factors among clinicians working in critical care units and operation theaters at North West Ethiopia, 2022: a multicenter cross-sectional study

The quality of sleep has an effect on the health of clinicians and the quality of patient care. Maintaining cognitive function/mood, facilitation of glucose metabolism, and strengthening of the immune system are among the roles that adequate sleep may contribute. Poor sleep quality is multifactorial, and studies had shown inconsistencies in the factors that contribute to the development of this poor sleep quality. The prevalence of poor sleep quality among clinicians working in the critical care unit and operation theater in the study setting was not investigated yet.

OBJECTIVE

The objective of this study was conducted for the purpose of assessing the quality of sleep and associated factors among clinicians working in the critical care unit and operation theater.

METHODS

A cross-sectional study was conducted from 15 May to 15 June 2022. Data were collected using a self-administered questionnaire from 421 clinicians selected by simple random sampling techniques. Sleep quality was measured by the Pittsburg sleep quality index. The data were entered into Epi-data and exported to SPSS. Frequency and percentage were used for the descriptive analysis. Binary and multivariate logistic regression analysis were used to identify factors associated with poor quality of sleep. The strength of the association was measured with an OR within the 95% CI and P-value of <0.05.

RESULT

About half 220 (52.3%) of the study participants age between 25 and 30 year old and the majority 321 (76.2%) of them were males. The prevalence of poor sleeps quality was 81.5% (95% CI: 77.9-85.5). Working night shift (AOR: 3.37, 95% CI: 1.754-6.484), having depressive symptoms (AOR: 3.25, 95% CI: 1.485-7.147) and having no regular exercises (AOR: 0.299, 95% CI: 0.166-0.537) were predisposing factors for poor sleep quality.

CONCLUSION AND RECOMMENDATION

The prevalence of poor sleep quality among clinicians working in the ICU and operation room was high. Clinicians who had no regular exercise, who worked in night shift, and who had depressive symptoms were associated with poor quality of sleep. Clinicians should have an awareness on the symptoms of depression, implement sleep hygiene education programs and promoting regular exercise. The authors recommend healthcare policy makers for improving working schedules.

mHealth interventions to reduce stress in healthcare workers (fitcor): study protocol for a randomized controlled trial

BACKGROUND

Causes and consequences of chronic stress levels in the context of healthcare work are well examined. Nevertheless, the implementation and evaluation of high-quality interventions to reduce stress of healthcare workers is still missing. Internet and app-based interventions are a promising venue for providing interventions for stress reduction to a population that is otherwise difficult to reach due to shift work and time constraints in general. To do so, we developed the internet and app-based intervention (fitcor), a digital coaching of individual stress coping for health care workers.

METHODS

We applied the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statement as a guideline for the present protocol. A randomized controlled trial will be conducted. There are five different intervention groups and one waiting control group. To achieve the sample sizes required by power analysis (G*Power) (β-error 80%; effect size 0.25), the sample sizes of the respective scenarios will be at best as follows: 336 care workers from hospitals, 192 administrative health personnel, 145 care workers from stationary elderly care homes, and 145 care workers from ambulatory care providers in Germany. Participants will randomly be assigned to one of five different intervention groups. A crossover design with a waiting control group is planned. Interventions will be accompanied by three measurement points, first a baseline measure, second a post-intervention measure directly after completion of the intervention, and a follow-up measure 6 weeks after completion of the intervention. At all three measurement points, perceived team conflict, work-related experience patterns, personality, satisfaction with internet-based training, and back pain will be assessed using questionnaires, as well as heart rate variability, sleep quality, and daily movement will be recorded using an advanced sensor.

DISCUSSION

Workers in the health care sector increasingly face high job demands and stress levels. Traditional health interventions fail to reach the respective population due to organizational constraints. Implementation of digital health interventions has been found to improve stress coping behavior; however, the evidence in health care settings has not been established. To the best of our knowledge, fitcor is the first internet and app-based intervention to reduce stress among nursing and administrative health care personnel.

TRIAL REGISTRATION

The trial was registered at DRKS.de on 12 July 2021, registration number: DRKS00024605.

Mediating effects of fatigue on the relationship between sleep quality and the quality of life of shift-working nurses

The mediating role of fatigue in the relationship between the quality of sleep and quality of life of shift-working nurses has been predicted in previous studies. Interventions that focus on improving the quality of life of a nurse, who works 24 h shifts in close proximity to patients, should take the mediating role of fatigue into account. This study investigates the mediation of fatigue in the relationship between sleep quality and quality of life for shift-working nurses. This cross sectional study collected self-reported questionnaire responses on variables including sleep quality, quality of life, and fatigue of shift-working nurses. We performed a three-step mediating effect verification procedure with 600 study participants. We found a negative and significant correlation between sleep quality and quality of life, a significant positive correlation between sleep quality and fatigue, and a negative correlation between quality of life and fatigue. We found: (1) that the quality of sleep affects the quality of life of shift-working nurses, (2) that the quality of sleep is correlated with the degree of fatigue, and (3) that the degree of fatigue is high, which means that quality of life decreases. Thus, it is necessary to develop and apply a strategy to reduce shift-working nurses' fatigue to improve their sleep quality and quality of life.

Efficacy of Individualized Sensory-Based mHealth Interventions to Improve Distress Coping in Healthcare Professionals: A Multi-Arm Parallel-Group Randomized Controlled Trial

Detrimental effects of chronic stress on healthcare professionals have been well-established, but the implementation and evaluation of effective interventions aimed at improving distress coping remains inadequate. Individualized mHealth interventions incorporating sensor feedback have been proposed as a promising approach. This study aimed to investigate the impact of individualized, sensor-based mHealth interventions focusing on stress and physical activity on distress coping in healthcare professionals. The study utilized a multi-arm, parallel group randomized controlled trial design, comparing five intervention groups (three variations of web-based training and two variations of an app training) that represented varying levels of individualization to a control group. Both self-reported questionnaire data (collected using Limesurvey) as well as electrocardiography and accelerometry-based sensory data (collected using Mesana Sensor) were assessed at baseline and post-intervention (after eight weeks). Of the 995 eligible participants, 170 (26%) completed the post-intervention measurement (Group 1: N = 21; Group 2: N = 23; Group 3: N = 7; Group 4: N = 34; Group 5: N = 16; Control Group: N = 69). MANOVA results indicated small to moderate time-by-group interaction effects for physical activity-related outcomes, including moderate to vigorous physical activity (F(1,5) = 5.8, p = ≤0.001, η2p = 0.057) and inactivity disruption (F(1,5) = 11.2, p = <0.001, η2p = 0.100), in the app-based intervention groups, but not for step counts and inactivity. No changes were observed in stress-related heart rate variability parameters over time. Despite a high dropout rate and a complex study design, the individualized interventions showed initial positive effects on physical activity. However, no significant changes in stress-related outcomes were observed, suggesting that the intervention duration was insufficient to induce physiological adaptations that would result in improved distress coping.

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.

Holistic sleep improvement strategies for frontline nurses served during a public health emergency (COVID-19) in Wuhan, China: A quasi-experimental study

AIM

To examine effects of holistic sleep improvement strategies on frontline nurses who served in Wuhan, China, during a public health emergency (COVID-19).

DESIGN

A pre-post-test design with single group was conducted with a convenience sample applied the Transparent Reporting of Evaluations with Non-randomized Designs statement.

METHODS

Fifty-two nurses were recruited from a COVID-19 designated hospital, receiving holistic sleep improvement intervention, which concentrated on scientific human resource management, comfortable sleep environment establishment, self-relaxation and self-adjustment training and humanistic care. Data was collected at baseline and 4-week follow-up post intervention using self-reported questionnaires.

RESULTS

The total score of Pittsburgh Sleep Quality Index scale was 8.69 ± 4.346 at baseline. After 4 weeks of follow-up, the score statistically significantly decreased to 7.48 ± 3.691. Subjective sleep quality (p = .016), sleep efficiency (p = .015), sleep disturbances (p = .007) were statistically significantly improved after the intervention, while there were no statistically significant differences in sleep latency (p = .205), sleep duration (p = .375), sleep medication (p = .723) or daytime dysfunction (p = .747).

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.

Effects of Work Stress and Period3 Gene Polymorphism and Their Interaction on Sleep Quality of Non-Manual Workers in Xinjiang, China: A Cross-Sectional Study

Work stress has been found to be associated with sleep quality in various occupational groups, and genetic factors such as variable number tandem repeat polymorphism in the Period3 (Per3) gene also influence the circadian sleep-wake process. Therefore, the present study aimed to evaluate the sleep quality status of non-manual workers in Xinjiang, China and to analyse the effects of work stress and Per3 gene polymorphism and their interaction on sleep quality. A cluster sampling method was used to randomly select 1700 non-manual workers in Urumqi, Xinjiang. The work stress and sleep quality of these workers were evaluated using the Effort−Reward Imbalance Inventory (ERI) and the Pittsburgh Sleep Quality Index (PSQI). Next, 20% of the questionnaire respondents were randomly selected for genetic polymorphism analysis. The polymerase chain reaction-restriction fragment length polymorphism technique was used to determine Per3 gene polymorphism. The detection rate of sleep quality problems differed between the different work stress groups (p < 0.05), suggesting that non-manual workers with high levels of work stress are more likely to have sleep quality problems. Regression analysis revealed that the Per3 gene (OR = 3.315, 95% CI: 1.672−6.574) was the influencing factor for poor sleep quality after adjusting for confounding factors, such as occupation, length of service, education, and monthly income. Interaction analysis showed that Per34/5,5/5 × high work stress (OR = 2.511, 95% CI: 1.635−3.855) had a higher risk of developing sleep quality problems as compared to Per34/4 × low work stress after adjusting for confounding factors. The structural equation modelling showed no mediating effect between work stress and Per3 gene polymorphism. The results of this study show that both work stress and Per3 gene polymorphism independently affect sleep quality of nonmanual workers from Xinjiang, and the interaction between these two factors may increase the risk of sleep quality problems. Therefore, to improve sleep quality, individuals with genetic susceptibility should avoid or reduce as much as possible self-stimulation by work-related exposures such as high levels of external work stress.

[Prevalence of sleep disturbance in intensive care nurses: a post hoc analysis of a cross-sectional study]

Background

Intensive care nurses have irregular and unusual working hours due to shift work, which can disrupt the natural light-dark rhythm and thus increase the risk for sleep disorders.

Aim of the work

The aim of this post hoc analysis was to investigate the prevalence of self-reported sleep problems and associated factors among intensive care nurses working in Germany.

Methods

This analysis was a post hoc analysis of a cross-sectional study, which was performed as an online survey. Collected data were sociodemographic, work-related and health-related data. These data were used to calculate the prevalence and respective 95% confidence intervals (95% CI) of sleep problems. Factors associated with sleep problems were identified using the χ2-test, Fisher's exact test, and logistic regression analysis.

Results

The link to the online survey was accessed 1163 times and 490 intensive care nurses participated in the survey. A total of 432 intensive care nurses were included in this analysis, of whom 82.87% were women. A total of 57.64% (95% CI: 52.83-62.35%) reported sleep problems. Significantly associated with sleep problems were age (50-59 years odds ratio [OR]: 2.05, 95% CI: 1.00-4.21, p = 0.047 vs. 20-29 years) and living in a family (OR: 0.50, 95% CI: 0.27-0.93, p = 0.029 vs. single/living alone). In addition, depression (OR: 1.09, 95% CI: 1.06-1.12, p ≤ 0.001), anxiety (OR: 1.10, 95% CI: 1.06-1.14, p ≤ 0.001) and stress (OR: 1.09, 95% CI: 1.06-1.12, p ≤ 0.001) levels were significantly associated with sleep problems.

Conclusion

Sleep problems were present in one out of every two participating intensive care nurses and in particular mental health was associated with sleep problems.

Sleep quality and the associated factors among in-hospital nursing assistants in general hospital: A cross-sectional study

Background

Sleep quality and the associated factors in professional nurses have been extensively investigated. However, as an important part of the workforce in hospitals, sleep quality and influencing factors among in-hospital nursing assistants is rarely investigated.

Aim

This study aimed to assess the sleep quality and the associated factors of in-hospital nursing assistants in general hospital.

Methods

A cross-sectional survey study was conducted in a tertiary general hospital. Data were collected from 187 in-hospital nursing assistants using convenience sampling from June to July 2018. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate participants’ sleep quality. A multiple linear regression was performed to identify associated factors with sleep quality.

Results

This study revealed a mean PSQI score of 5.96 ± 3.64 among all participants, of which 62.3% (114/187) participants suffered from impaired sleep quality. In-hospital nursing assistants with significant medical condition, low monthly income, irregular diet and high family burden reported more worse sleep quality.

Conclusion

The study showed that poor sleep quality is a highly prevalent issue among Chinese in-hospital nursing assistants in general hospital. Measures to enhance nursing assistants’ wellbeing status (health and burden) and improve their salary (monthly income) are recommended.

Network Analysis of Time Use and Depressive Symptoms Among Emerging Adults: Findings From the Guizhou Population Health Cohort Study

Background

To date, the relationship between diverse time use behaviors and depression status among emerging adults have not been disentangled in the literature. Therefore, if and how the time displacement mechanism activates depressive symptoms among emerging adults remains unclear.

Methods

To fill this gap in the literature, we employed a network analysis to make estimations. The emerging adult sample (N = 1,811) was collected by the Guizhou Population Health Cohort Study. Time use behaviors were measured by an adaption of the self-administered International Physical Activity Questionnaire, and depressive symptoms were assessed using the 9-item Patient Health Questionnaire (PHQ-9).

Results

The results revealed that the time displacement mechanism of emerging adults differed from that of adolescents. Sleep duration was not crowded out by other activities, while the time spent on computer use was found to be negatively related to time spent on heavy work activities. Moreover, computer use behavior triggered three depressive symptoms ("Anhedonia," "Guilt," and "Motor"), but inhibited "Suicide." The results of the directed acyclic graph revealed that females and heavy drinkers were at risk of depression.

Limitations

The study sample was confined to only one province, which may limit its generalizability. The cross-sectional design impeded the ability to draw causal inferences.

Conclusion

Our results enhance the current understanding of the internal mechanism of how time use behaviors influence depressive symptoms among emerging adults.

Relationship between work–family conflict, sleep quality, and depressive symptoms among mental health nurses

Background

Nursing has a reputation for being one of the most stressful occupations. As a result of their work, many nurses suffer from anxiety and depression. Nurses are also at risk of poor sleep owing to their work nature. This study aimed to examine the relationship between work–family conflict, sleep quality, and depressive symptoms among mental health nurses. A descriptive cross-sectional study design was utilized in this study. Setting/sample: This study was conducted at El Azazi Hospital for Mental Health, Al-Sharkia Governorate on 139 mental health nurses. Four tools were used in this study: Socio-demographic data sheet, Work–Family Conflict Scale, Arabic Pittsburgh Sleep Quality Index, and Arabic Center for Epidemiologic Studies Depression Scale.

Results

Results revealed that, a significant percentage of mental health nurses suffered from poor sleep quality and depressive symptoms, there were highly statistically significantly positive correlations between work–family conflict (WFC) and both of Pittsburgh Sleep Quality Index (PSQI) and depressive symptoms among nurses.

Conclusions

Working with psychiatric patients affected their nurses, which disturbed their sleep quality and led to depressive symptoms. As well, increasing work–family conflict in mental health nurses leads to poor sleep quality and depressive symptoms. Family interference with work, sleep quality, and work interference with family were statistically significant predictors of depressive symptoms.

A cross-sectional study on sleep disturbances and associated factors among nurses

BACKGROUND

Many studies have measured sleep disturbances among nurses globally, but none have addressed this issue in Vietnam. Therefore, this study aimed to assess the prevalence of sleep disturbance and identify associated factors among staff nurses in Vietnam. To identify sleep disturbances and associated factors among staff nurses in Vietnam.

METHODS

A cross-sectional design was used in this study. Participant nurses (n = 420) completed a general information questionnaire, the Vietnamese version of the General Sleep Disturbance Scale (GSDS), the Perceived Stress Scale, and the Short Form 12. Data were collected between July and September 2019 from three public hospitals located in southwestern Vietnam. Data were analyzed using Chi-square, independent Student's t-test, and multivariate logistic regression analysis.

RESULTS

The average GSDS score was 41.10 (SD = 19.48), indicating sleep disturbances among 46.9% of nurses. Age, health condition, stress, and quality of life had an impact on sleep disturbance. Multivariate logistic regression analysis confirmed that nurses with high stress and poor physical health status were more likely to experience sleep disturbances.

CONCLUSION

Vietnamese nursing staff suffers from a high rate of sleep disturbances. Significant predictors included high stress and poor physical health status. Administrators of healthcare services should carefully consider how to conduct interventions to help the nurses handle their sleep disturbances such as stress management and physical health promotion.

Association between the CLOCK gene polymorphism and depressive symptom mediated by sleep quality among non-clinical Chinese Han population

BACKGROUND

Depression is a common mental disorder associated with sleep problems and the circadian clock genes may underlie the relationship between the two in clinical samples. However, little is known about whether poor sleep quality is associated with depressive symptom in healthy individuals and whether is mediated by specific single-nucleotide polymorphisms (SNPs).

METHODS

Using a cross-sectional design, 444 university staff members were randomly recruited in Beijing. We used the Pittsburgh Sleep Quality Index (PSQI) to measure sleep quality, the Zung's Self-rating Depression Scale (SDS) to measure depressive symptom, and the Work Stress Scale to measure job stress. The CLOCK gene rs12649507 polymorphism was genotyped in 289 blood samples.

RESULTS

There were positive inter-correlations between job stress, PSQI and SDS (almost ps < 0.05). GG homozygotes of the SNP had higher PSQI and its sleep duration and daytime dysfunction scores than AA homozygotes (all Bonferroni corrected ps0.05). The SNP had no main effect on the SDS and did not interact with job stress to affect SDS, PSQI and its dimensions (all ps > 0.05). Interestingly, after controlling for job stress and covariates, the significant effect size of the SNP on the SDS mediated by the PSQI was 0.68 (95% CI [0.24, 1.35]).

LIMITATIONS

Some limitations included single professional background, cross-sectional study design, small sample size and potential confounding factors, which could be amended by future research.

CONCLUSIONS

Non-clinical Chinese carrying CLOCK gene rs12649507 G-allele may lead to poor sleep quality and further depression symptoms.

Relationship between occupational stress, sleep disturbance, and presenteeism of shiftwork nurses

PURPOSE

This study aimed to determine the relationships between occupational stress, sleep disturbance, and presenteeism in shiftwork nurses in South Korea.

DESIGN

This cross-sectional study used survey data from 442 shiftwork nurses at two hospitals in South Korea. Data were collected between March 2018 and April 2020.

METHODS

A self-reported questionnaire was used to assess shiftwork nurses' demographic and job-related information, presenteeism, occupational stress, and sleep disturbance. Data were analyzed using descriptive statistics, multiple regression, and the PROCESS macro.

FINDINGS

The mean presenteeism score was 39.52. Multiple regression analysis revealed that job insecurity, interpersonal conflict, occupational climate, lack of reward, and job demand are significantly associated with presenteeism. Sleep disturbance was related to presenteeism and had a moderating effect on the relationship between occupational stress and presenteeism.

CONCLUSIONS

This study indicates that proper occupational climate, positive interpersonal relationships, and adequate sleep can reduce shiftwork presenteeism. Therefore, individual and organizational efforts to alleviate occupational stress and sleep disturbances are essential.

CLINICAL RELEVANCE

Organizational support is needed to maintain a positive occupational climate and interpersonal relationships and ameliorate sleep disturbance among shiftwork nurses.

The relationship between occupational stressors and insomnia in hospital nurses: The mediating role of psychological capital

Background

Nurses have a high incidence of insomnia. Insomnia not only damages the physical and mental health of nurses, but also reduces their productivity and quality of care, ultimately affecting patient care. Over the past 30 years, a large number of epidemiological surveys have shown that insomnia in nurses is associated with occupational stress. As an external feature of the role of a nurse, occupational stress is difficult to alter in a short period of time. Therefore, it is necessary to discuss the complex mediating variables in the relationship between occupational stress and insomnia in nurses in order to find different ideas to address the problem of insomnia caused by occupational stress. Psychological capital, the positive psychological strength of an individual, has been widely used in previous reports as a mediating variable between occupational stress and adverse psychological problems.

Objective

This study aimed to explore the mediating effect of psychological capital on occupational stressors and insomnia among Chinese nurses.

Methods

The Strengthening the Reporting of Observational Studies in Epidemiology statement was referred to conduct the study. A cross-sectional stratified sampling method was used to recruit 720 participants from a tertiary hospital in Jinan, Shandong province, located in the east of China, from June to August 2019. Questionnaires were used to obtain data on demographic variables, psychological capital, occupational stressors, and insomnia.

Results

The study findings revealed that work settings [department (F = 3.08, p = 0.006), working hours per week (t = -2.03, p = 0.043) and shift work (t = 3.66, p < 0.001)], decision latitude (r = -0.25, p < 0.001), psychological job demand (r = 0.15, p < 0.001), social support (r = -0.31, p < 0.001), and psychological capital (r = -0.40, p < 0.001) were differentially associated with insomnia experiences. This cross-sectional survey showed that psychological capital has significant mediation effects on the relationship between occupational stressors and insomnia. In the model of decision latitude - psychological capital - insomnia, the mediating effect was-0.04 (95%CI: -0.07 ~ -0.02), accounting for 50.0% of the total effect; In the model of job demands - psychological capital - insomnia, the mediating effect was 0.03 (95%CI: 0.01 ~ 0.06), accounting for 25.0% of the total effect; In the model of social support - psychological capital - insomnia, the mediating effect was -0.11 (95%CI: -0.16 ~ -0.07), accounting for 39.0% of the total effect.

Conclusion

Psychological capital not only had a direct effect on both occupational stressors and insomnia, but also played mediating roles in relationship between occupational stressors and insomnia. It has been suggested that nurses themselves and nursing managers should improve the psychological capital of nurses by various means to alleviate the effects of occupational stress on nurses' insomnia.

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.

Psychological distress and its influencing factors among psychiatric nurses in China: A cross-sectional study

BACKGROUND

Psychiatric nurses often face abuse, attacks, escape, suicides, and other situations related to the care of patients with mental disorders, which are more likely to induce psychological distress.

AIMS

This study aimed to examine the relationship between coping styles and psychological distress among Chinese psychiatric nurses in Shandong and the significance of sleep quality as a mediating factor.

METHODS

A total of 812 psychiatric nurses in Shandong, China, were investigated using the Psychological Distress Scale (K10), Simplified Coping Style Questionnaire (SCSQ), Pittsburgh Sleep Quality Index (PSQI) and self-compiled general information questionnaire.

RESULTS

Psychological distress was detected in 571 psychiatric nurses (70.3%). The psychological distress of psychiatric nurses was significantly different with respect to professional title (χ² = 10.627, P < 0.05) and shift work (χ² = 9.120, P < 0.01). Psychological distress positively correlated with negative coping style (r = 0.266, P < 0.01) and sleep quality (PSQIT) (r = 0.532, P < 0.01). A significant positive correlation was found between psychological distress and all dimensions of sleep quality (r = 0.158-0.456, P < 0.05). Professional title, positive coping style, negative coping style, sleep quality (PSQIT), subjective sleep quality, sleep disorder and daytime dysfunction predicted psychological distress in psychiatric nurses (R ² = 0.363, F = 65.343, P < 0.01). The relationship between negative coping style and psychological distress was partially mediated by sleep quality, with the mediating effect accounting for 37.97% of the total effect.

CONCLUSIONS

Psychiatric nurses have a high rate of psychological distress, which is closely related to coping styles, and sleep quality has a certain regulatory effect.

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

OBJECTIVES

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

METHOD

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

RESULT

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

CONCLUSION

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

My Health Too: Investigating the Feasibility and the Acceptability of an Internet-Based Cognitive-Behavioral Therapy Program Developed for Healthcare Workers

Background: The COVID-19 crisis has had a considerable mental health impact on healthcare workers. High levels of psychological distress are expected to have a significant impact on healthcare systems, warranting the need for evidence-based psychological interventions targeting stress and fostering resilience in this population. Online cognitive behavioral therapy (CBT) has proved to be effective in targeting stress and promoting resilience. However, online CBT programs targeting stress in healthcare workers are lacking. Objective: The aim of our study is to evaluate the feasibility and acceptability of an internet-based CBT intervention, the My Health Too program we developed during the first COVID-19 epidemic peak in France. Methods: We recruited 10 participants among Alsace region hospital staff during the first peak of the pandemic in France. They were given 1 week to test the website and were then asked to answer an internet survey and a semi-structured phone interview. Results: We conducted a thematic analysis of the content from the phone interviews. Major themes were identified, discussed and coded: the technical aspects, the content of the website and its impact on participants' emotions and everyday life. Overall, the participants reported finding the website easy to use and interactive. They described the resources as easy to understand, readily usable, and useful in inducing calm and in helping them practice self-compassion. Conclusion: Our results suggest that the My Health Too online CBT program is highly feasible and acceptable to healthcare workers during the highly stressful times of the pandemic peak. The feedback provided helped to improve the program whose efficacy is to be tested.

The relationship between sleep quality and psychological distress and job burnout among Chinese psychiatric nurses

This cross-sectional study aimed to investigate the sleep quality of psychiatric nurses in China and explore the risk factors affecting it. This study used the stratified random sampling method. The general data questionnaire was conducted using the 10-item Kessler Psychological Distress Scale (K10), the Maslach Burnout Inventory (MBI), and the Pittsburgh Sleep Quality Index (PSQI) were used to investigate the prevalence and risk factors of sleep quality among 812 psychiatric nurses in China. There were statistically significant differences in sleep quality among different shift frequency. Surveys demonstrated that sleep quality among psychiatric nurses was positively correlated with psychological distress and job burnout. Multiple logistics regression analysis showed that high psychological distress (odds ratio, OR=0.907, p<0.001, 95% confidence interval, CI=0.885-0.931), high emotional exhaustion (OR=0.946, p<0.001, 95% CI=0.921-0.972), low depersonalization (OR=1.061, p=0.004, 95% CI=1.019-1.104), and low personal accomplishment (OR=0.972, p=0.018, 95% CI=0.949-0.995) were the contributing factors of sleep quality. Future studies should investigate effective measures to relieve psychological distress and alleviate burnout, particularly for psychiatric nurses with poor sleep quality.

Sleep Quality among Nurses during the First Year of Coronavirus Disease 2019

BACKGROUND: Nurses represent the largest section of the health-care workforce, and lack of sleep has an adverse influence on them, particularly during pandemics such as coronavirus disease 2019 (COVID-19). It causes not only health problem but also poor work results and an increased risk of medical errors. AIM: The goal of the study was to determine the prevalence of poor sleep quality among nurses during COVID-19 outbreaks. MATERIALS AND METHODS: A cross-sectional analysis was conducted among a group of nurses in the Al-Madinah region of Saudi Arabia at the National Guard Health Affairs in 2020 (1st year of the COVID-19 crisis). Data were collected using a validated questionnaire with two sections: Sociodemographic data such as age, nationality, family status, gender, and the Pittsburgh Sleep Quality Index. RESULTS: There were 238 nurses in the report. 37.8% of them were found to be between the ages of 31 and 35, while 24.4% were under the age of 30. The nurses were mostly female (84%). Sleep latency, sleep disruption, overall subjective sleep quality, and sleep length were the most widely identified sleep problems. Sixty-six percent of the nurses said they had a poor night’s sleep. None of the demographic variables analyzed had a significant relationship with overall sleep quality. CONCLUSION: Majority of nurses working at the National Guard Health Affairs and primary health-care centers in Al-Medina, Saudi Arabia, experience poor sleep quality, during the 1st year of COVID-19 crisis regardless of their demographic characteristics.

Associations Between Sleep Quality and 10-Year Cardiovascular Disease Risk Among Female Nurses in Hong Kong: A Cross-sectional Study

BACKGROUND

Sleep problems are common among nurses compared with the general population. Poor sleep quality increases the risk of developing cardiovascular disease (CVD). The relationship between sleep quality and CVD risk has not been previously investigated among Hong Kong female nurses.

OBJECTIVE

The authors of this study explored the association between sleep quality and CVD risk among Hong Kong female nurses.

METHODS

Data were collected from the Hong Kong Women's Health Study cross-sectional survey between 2019 and 2020. Questionnaires were sent to female nurses (≥aged 30 years). Ten-year CVD risk was measured using the Framingham 10-year risk score, and the Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality. Relationships were evaluated using adjusted multiple linear regression and binary logistic regression.

RESULTS

In 1344 respondents, the mean age was 46.12 ± 10.47 years, average PSQI score was 6.02 (3.35), and 52.4% reported poor sleeping quality (global PSQI score > 5). The mean 10-year CVD risk was 3.6% (3.3%). The 10-year CVD risk was significantly associated with sleep disturbance (β = 0.006) and daytime dysfunction (β = -0.002) (both Ps < .01). Participants who reported sleep disturbance had a higher CVD risk (odds ratio, 1.82; 95% confidence interval, 1.04-3.18). High daytime dysfunction decreased CVD risk (odds ratio, 0.63; 95% confidence interval, 0.46-0.85). Subgroup analysis showed stronger associations between sleep quality and Framingham 10-year risk score among those unemployed, undergoing postmenopause, or with a family history of CVDs.

CONCLUSIONS

Sleep disturbance and daytime dysfunction were associated with the 10-year CVD risk among Hong Kong female nurses. Nurses who were unemployed, were undergoing postmenopause, or with a family history of CVD were those with the highest risk.

Professional quality of life, sleep disturbance and health among nurses: A mediation analysis

Aims

This study aimed to examine sleep disturbance as a mediator of the relationship between professional quality of life (compassion satisfaction, burnout, secondary traumatic stress) and health (physical and mental health) in nurses.

Design

Descriptive, cross‐sectional study.

Methods

Three hundred eighteen Registered Nurses completed a web‐based survey at the National Institutes of Health Clinical Center in the United States. Mediation analyses were conducted to test hypothesized relationships.

Results

Nurses with higher levels of compassion satisfaction reported lower levels of sleep disturbance and better physical/mental health. Burnout and secondary traumatic stress were negatively associated with physical/mental health and positively associated with sleep disturbance. Sleep disturbance fully or partially mediated the relationships between professional quality of life and physical/mental health among nurses.

Evaluating effort-reward imbalance among nurses in emergency departments: a cross-sectional study in China

BACKGROUND

Effort-reward imbalance is an adverse psychological response to working conditions that has several negative effects on nurses. However, there is little research on effort-reward imbalance and its influencing factors among nurses in emergency departments. This study aimed to understand the current situation of effort-reward imbalance and explore its influencing factors among emergency department nurses in China.

METHODS

From July to August 2018, a structured online questionnaire survey was conducted among emergency department nurses in China. Data were collected from emergency department nurses employed in hospitals providing pre-hospital care in China. The questionnaire consisted of sociodemographic characteristics, work-related factors and effort-reward imbalance. A descriptive analysis and a binary logistic regression were conducted to explore the effort-reward imbalance and its influencing factors among emergency department nurses.

RESULTS

The study involved 17,582 emergency department nurses; notably, the prevalence of effort-reward imbalance was 59.66%. The participating nurses who were males, aged 25 to 34 years, whose educational level was a bachelor degree or above, who had a junior or above title, who had longer years of service, and who had suffered verbal or physical violence in the past year had a higher risk of effort-reward imbalance. Furthermore, the nurses with a high monthly income, who believed that the number of nurses met the department's demand had a lower risk of effort-reward imbalance.

CONCLUSIONS

Effort-reward imbalance was prevalent among emergency department nurses in China. Measures such as adjusting the night shift frequency, increasing the number of nurses, raising salaries and reducing workplace violence should be considered to reduce the level of effort-reward imbalance.

The relationship between health-promoting behaviors, menopause syndrome, and sleep quality in Chinese middle-aged nurses: A cross-sectional study

BACKGROUND

Nursing staff are on the front line of providing healthcare that addresses patients' needs. Sleep quality is highly related to work performance and quality of life among nurses.

AIMS

This study aimed to examine the influence of sociodemographic variables, menopause syndrome, and health-promoting behaviors on sleep quality in a sample of middle-aged nurses in China.

METHODS

A cross-sectional design was employed. A consecutive sample of 424 nurses was recruited from a university-affiliated hospital in Bengbu, China. Self-reported, structured questionnaires, including sociodemographic surveys, the Kupperman Menopausal Index, the Health Promoting Lifestyle Profile II, and the Pittsburgh Sleep Quality Index, were administered between October 2018 and July 2019. This study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology guidelines.

RESULTS

Study participants had a mean sleep quality level of 5.30 points (SD = 3.16), indicating potential sleep problems. The results of regression models showed that menopause syndrome and spiritual growth were important predictors of sleep quality for premenopause, perimenopause, and postmenopause groups.

CONCLUSION

Middle-aged nurses with more severe menopause syndrome and less spiritual growth might experience worse sleep quality.

RELEVANCE TO CLINICAL PRACTICE

This study highlights important factors influencing the level of sleep quality in Chinese middle-aged nurses. Identifying the factors that are associated with sleep quality may help with the development of proper interventions.

Sleep disturbance among frontline nurses during the COVID-19 pandemic

The main objective of this study is to assess the prevalence of sleep disturbance and related psychological factors (stress, anxiety and depression) among frontline nurses in Oman during the COVID-19 pandemic. A cross-sectional and descriptive correlational design using Qualtrics® software was used in this research. Data were collected using the Pittsburgh Sleep Quality Index (PSQI), the Hospital Anxiety and Depression Scale (HADS) and the Perceived Stress Scale (PSS). Logistic regression was performed to identify factors associated with poor sleep quality. Of the 987 frontline nurses who participated, 58.8% (n = 580) reported poor sleep quality. In an examination of PSQI components the mean sleep duration was 7.04 (SD = 1.59) hours per night, and the sleep latency mean was 38.18 min (SD = 31.81). Poor sleep (p < .05) was significantly associated with age, marital status, years of experience, comorbidity, and whether family members or relatives were suspected or confirmed with having COVID-19. Logistic regression showed that poor quality of sleep was significantly associated with stress, anxiety and depression symptoms. Sleep disturbance is a significant problem for frontline nurses working in Oman during the COVID-19 pandemic. Appropriate interventions to maintain the health conditions and reduce sleep disturbance among frontline nurses are needed in order to help support nurses' work during contagious disease outbreaks. These can be implemented through online workshops and training to enhance nurses' responses to the pandemic or to any further disease outbreaks.

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.

[Secondary Data Analysis on the Factors Influencing Premenstrual Symptoms of Shift Work Nurses: Focused on the Sleep and Occupational Stress]

PURPOSE

This study aimed to examine premenstrual symptoms (PMS) of shift nurses and identify the association between PMS, sleep, and occupational stress.

METHODS

This study was conducted with a secondary data analysis that used data from the Shift Work Nurse's Health and Turnover study. The participants were 258 nurses who were working in shifts including night shifts. PMS, sleep patterns (sleep time and sleep time variability), sleep quality, and the occupational stress of each participant were measured using the Moos Menstrual Distress Questionnaire, a sleep diary, an actigraph, the Insomnia Severity Index, and the Korean Occupational Stress Scale, respectively. Data were analyzed using SPSS 23 and STATA 15.1 to obtain descriptive statistics, Pearson's correlation coefficients, multiple linear regression with generalized estimating equations (GEE) and Baron and Kenny's mediating analysis.

RESULTS

The average PMS score, average sleep time, average sleep time variability, average sleep quality score, and average occupational stress score of the participants was 53.95 ± 40.45, 7.52 ± 0.89 hours, 32.84 ± 8.43%, 12.34 ± 5.95, and 49.89 ± 8.98, respectively. A multiple linear regression analysis with GEE indicated that sleep time variability (B = 0.86, p = .001), and sleep quality (B = 2.36, p < .001) had negative effects on nurses' PMS. We also found that sleep quality had a complete mediating effect in the relationship between occupational stress and PMS.

CONCLUSION

These findings indicate that both sleep time variability and sleep quality are important factors associated with PMS among shift work nurses. To improve shift nurses' PMS status, strategies are urgently needed to decrease sleep time variability and increase sleep quality.

Evaluation of the correlation between effort-reward imbalance and sleep quality among community health workers

BACKGROUND

A chronic state of imbalance between effort and reward can affect sleep quality. However, few studies have explored the relationship between variables in the work-related stress (the effort-reward imbalance model, ERI model) and sleep quality in community health workers in mainland China. We investigated the relationship between ERI and sleep quality in community health workers.

METHODS

This cross-sectional study was conducted from September to November 2018 and involved 249 registered doctors and 223 registered nurses. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep problems status of the participants. The ERI questionnaire was administered to evaluate job-related stress. Multivariate logistic regression was performed to evaluate the factors related to sleep quality.

RESULTS

The ERI ratio of the 472 health workers was 1.17 ± 0.22, and 273 health workers (57.84%) had PSQI scores > 7.There were statistically significant differences in the effort scores, overcommitment scores and ERI ratio between the health workers with and without sleep problems. The ERI ratio was an independent risk factor for sleep quality; sleep quality, race, type of work, shift work,job title, and personal monthly income were related to the ERI ratio among community health workers.

CONCLUSIONS

We found that sleep problems were prevalent, work effort was greater than reward and a positive correlation between effort-reward and sleep quality among community health workers in China. Managers should focus on the factors that influence sleep problems among community health workers, balance the efforts and rewards of work, and reduce the incidence of sleep problems.

Nursing career anchors and professional exercise: is there alignment?

OBJECTIVE

to identify the types of career anchors of university hospital nurses and alignment with current work, from the perspective of workers' health.

METHOD

a descriptive and quantitative study, developed in a university hospital with 135 nurses, from December 2018 to February 2019. The Career Orientations Inventory was used as an instrument and an instrument to assess the alignment of career anchors to the current job.

RESULTS

it was identified that the most frequent anchors were: Security/Stability, Service/Dedication to a Cause, and Lifestyle. Among nurses, 63.7% were not aligned with their career anchor.

CONCLUSION

the alignment factor is not prevalent among nurses, demonstrating that most seek to meet their professional motivations, but do not find it in their current work, which can lead to physical exhaustion and psychological distress.

Mental burden and its risk and protective factors during the early phase of the SARS-CoV-2 pandemic: systematic review and meta-analyses

BACKGROUND

Mental burden due to the SARS-CoV-2 pandemic has been widely reported for the general public and specific risk groups like healthcare workers and different patient populations. We aimed to assess its impact on mental health during the early phase by comparing pandemic with prepandemic data and to identify potential risk and protective factors.

METHODS

For this systematic review and meta-analyses, we systematically searched PubMed, PsycINFO, and Web of Science from January 1, 2019 to May 29, 2020, and screened reference lists of included studies. In addition, we searched PubMed and PsycINFO for prepandemic comparative data. Survey studies assessing mental burden by the SARS-CoV-2 pandemic in the general population, healthcare workers, or any patients (eg, COVID-19 patients), with a broad range of eligible mental health outcomes, and matching studies evaluating prepandemic comparative data in the same population (if available) were included. We used multilevel meta-analyses for main, subgroup, and sensitivity analyses, focusing on (perceived) stress, symptoms of anxiety and depression, and sleep-related symptoms as primary outcomes.

RESULTS

Of 2429 records retrieved, 104 were included in the review (n = 208,261 participants), 43 in the meta-analysis (n = 71,613 participants). While symptoms of anxiety (standardized mean difference [SMD] 0.40; 95% CI 0.15-0.65) and depression (SMD 0.67; 95% CI 0.07-1.27) were increased in the general population during the early phase of the pandemic compared with prepandemic conditions, mental burden was not increased in patients as well as healthcare workers, irrespective of COVID-19 patient contact. Specific outcome measures (eg, Patient Health Questionnaire) and older comparative data (published ≥5 years ago) were associated with increased mental burden. Across the three population groups, existing mental disorders, female sex, and concerns about getting infected were repeatedly reported as risk factors, while older age, a good economic situation, and education were protective.

CONCLUSIONS

This meta-analysis paints a more differentiated picture of the mental health consequences in pandemic situations than previous reviews. High-quality, representative surveys, high granular longitudinal studies, and more research on protective factors are required to better understand the psychological impacts of the SARS-CoV-2 pandemic and to help design effective preventive measures and interventions that are tailored to the needs of specific population groups.

Psychological impact of the coronavirus 2019 (COVID-19) pandemic on nurses

AIM

The new coronavirus disease (COVID-19) pandemic has laid unprecedented stress on healthcare workers and especially nurses. The main objective of this study is to determine the prevalence of stress, anxiety, depression and sleep disturbance among nurses in Oman during the COVID-19 pandemic, and to explore the contributing factors.

METHODS

A cross-sectional and descriptive correlational design using Qualtrics® software was performed. Data were collected using the Pittsburgh Sleep Quality Index, the Hospital Anxiety and Depression Scale and the Perceived Stress Scale.

RESULTS

Of the 1,130 nurses who participated, 75.6% (n = 854) reported stress, 44.2% (n = 499) reported anxiety, 38.5% (n = 435) reported depression and 73.7% (n = 833) reported poor sleep. Stress, anxiety, depression and sleep disturbance (p < .05) were significantly associated with age, marital status, comorbidity and whether family members or relatives were suspected or confirmed with COVID-19. The stress, anxiety, depression and sleep disturbance were significantly positively corelated with each other. Logistic regression showed nurses in the age group between 18 and 30, who worked at the frontline, were at a higher risk of stress, anxiety, depression and sleep disturbance.

CONCLUSIONS

Stress, anxiety, depression and sleep disturbance are significant problems for nurses working in Oman during the COVID-19 pandemic. Appropriate interventions to monitor and reduce psychological problems and sleep disturbance among nurses are needed, which can help to support nurses' work during contagious disease outbreaks.

Sleep quality and its predictors among hospital-based nurses: a cross-sectional study

PURPOSE

Sleep disorders are common among nurses and may have negative effects on their performance and well-being. This study aimed to investigate the level of sleep quality and its possible associated factors among hospital-based nurses in Jordan.

METHODS

A cross-sectional design targeting Jordanian hospital-based nurses. In addition to demographics and work habits, the outcome measures included Pittsburgh Sleep Quality Index (PSQI), Nordic Musculoskeletal Questionnaire (NMQ), and Depression Anxiety Stress Scale (DASS). Data were analyzed descriptively and by a multiple variable linear regression analysis to identify predictors of sleep quality.

RESULTS

In total, 597 nurses with a mean age of 32.1 (± 5.7) years participated in this study and 47% were men. PSQI mean score was 7.8 (± 3.7) and 68% of the participants showed sleep quality deficits. Stress (β = 0.15 [95%CI 0.13 to 0.19, P < 0.001), depression (β = 0.05 [95%CI 0.009 to 0.08], P = 0.015), the number of joints with 12 months musculoskeletal pain (β = 0.25 [95%CI 0.15 to 0.36], P < 0.001) positively predicted decreased sleep quality. Manual handling training (β = - 0.48 [95%CI -0.96 to 0.003], P = 0.048) and years of experience (β = - 0.05 [95%CI -0.09 to 0.002], P = 0.039) negatively predicted decreased sleep quality.

CONCLUSIONS

Nurses reported poor levels of sleep quality, high levels of mental health symptoms, and musculoskeletal pain complaints. Sleep quality among nurses and its predictors should be carefully considered by administrations of healthcare services.