Psychological Distress and Sleep Disturbance Among Female Nurses: Anxiety or Depression?

The Relationship Between Poor Sleep and Memory Impairment Among Shift Nurses in China: A Cross-Sectional Study

Purpose

Many shift nurses experience poor sleep quality, and the effect on nurses' cognitive function remains unclear. The study aims to investigate sleep status and explore its association with cognitive function.

Methods

This descriptive cross-sectional study was conducted in a tertiary care hospital in Fujian, China between March and September 2022. By convenience sampling method, 588 shift nurses participated in this study. The Pittsburgh Sleep Quality Index (PSQI) and Bergen Shift Work Sleep Questionnaire (BSWSQ) were used to assess sleep quality, while the Chinese version of Ascertain Dementia-8 (AD-8) was used to evaluate cognitive function. A PSQI score ≤7 is classified as good sleep quality, and a score >7 indicates poor sleep quality. An AD-8 score≥ 2 is considered indicative of memory impairment. Multivariate logistic regression analysis was conducted to explore the association between sleep status and memory impairment.

Results

A total of 310 (52.6%) participants presented poor sleep quality. Among them, 52.2% of participants had day shift-related sleep problems, 45.9% had evening shift-related sleep problems, 61.9% had night shift-related sleep problems, and 15.0% reported rest-day/vacation-related sleep problems. The prevalence of poor sleep quality and each shift-related sleep problem in the memory impairment group were higher than in the normal memory group (P<0.05). Multivariate logistic regression analysis indicated that poor sleep quality (OR=2.073, 95% CI: 1.398~3.072), evening shift-related sleep problems (OR=1.707, 95% CI: 1.028~2.835), night shift-related sleep problems (OR=1.859, 95% CI:1.104~3.129), and rest-day/vacation-related sleep problems (OR=2.069, 95% CI:1.170~3.659) was significantly associated with memory impairment.

Conclusion

This study highlights the prevalence of poor sleep quality among clinical nurses and identifies poor sleep quality and shift-related sleep problems (excluding day shift) as risk factors for memory impairment. Nurse managers should prioritize sleep quality and focus on cognitive function to enhance nurses' occupational health.

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.

The impact of cognitive fusion on stress among nurses: Exploring gender as a moderator controlling for depressive symptoms

AIM

To investigate the influence of cognitive fusion on stress among nurses, with a focus on exploring gender as a moderator among Jordanian nurses controlling for depressive symptoms.

BACKGROUND

Stress is a significant concern among healthcare workers, particularly nurses, given the escalating work demands and organizational constraints.

METHODS

Data were collected from 206 nurses using a cross-sectional design. Participants completed surveys that included measures for cognitive fusion, stress, and depressive symptoms. Statistical analysis included bivariate correlations, independent sample t-tests, and moderation analysis using Hayes PROCESS. The results were reported using The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

RESULTS

The findings revealed a moderate correlation among stress, cognitive fusion, and depressive symptoms. The regression model explained 42% of the variance in stress, with significant contributions from cognitive fusion, gender, depressive symptoms, and the interaction between cognitive fusion and gender. Gender moderated the relationship between cognitive fusion and stress, indicating differential effects for males and females.

CONCLUSION

This study underscores the importance of cognitive fusion in understanding and managing stress among nurses. The moderating effect of gender highlights the need for tailored interventions. Reducing stress among nurses may benefit their mental health and potentially enhance patient care and treatment outcomes. IMPLICATIONS FOR NURSING PRACTICE AND POLICY: The study highlights crucial implications for nursing policy. Addressing cognitive fusion is vital to reducing nurse stress, directly impacting patient care quality and healthcare outcomes. Policymakers should prioritize gender-aware strategies within nursing policies, fostering a less stressful and more supportive work environment. By doing so, healthcare institutions can enhance the well-being of nurses and ultimately improve patient care, aligning with broader healthcare policy objectives of patient safety and quality improvement.

War Injuries and Nurses' Well-Being: Fatigue and Sleep Quality Among Critical Care Nurses in Najran Region, Saudi Arabia

Introduction Critical care nurses must maintain optimal work performance. Fatigue and sleep disturbance can limit safe practice and cause negative patient outcomes. This study aimed to explore fatigue and sleep quality among critical care nurses in the war zone in Najran City, Saudi Arabia. Methods A cross-sectional research design was used and a convenience sample was applied to include 352 nurses working in critical units at various hospitals in Najran City, Saudi Arabia. A self-administered questionnaire containing three parts was used: demographic characteristics, the Pittsburgh Sleep Quality Index (PSQI), and the Fatigue Severity Scale (FSS). Results The study revealed that 232 nurses (65.9%) reported poor sleep quality. Regarding fatigue levels, 89 nurses (25.2%) reported severe fatigue and 113 (32.1%) reported moderate fatigue. Notably, caring for war-related injuries exhibited a significant positive correlation (r = 0.62, p = 0.0001). Experience correlated negatively (r = -0.47, p = 0.003) with sleep quality and fatigue scores. Most significantly, involvement in caring for war-related injuries showed a strong positive correlation (r = 0.71, p = 0.00001) with FSS scores. Conclusions Poor sleep quality was significantly widespread among the studied nurses. The results indicated that about one-quarter of the studied nurses reported severe fatigue, which was alarmingly prevalent among nurses. Nurses involved in caring for war-related injuries exhibited a strong positive correlation with both PSQI and FSS scores. Recommendations The authors recommend developing and implementing counseling and stress management programs to address the unique challenges faced by nurses caring for war-related injuries.

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

INTRODUCTION AND AIMS

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Distress, multimorbidity, and complex multimorbidity among Chinese and Korean American older adults

BACKGROUND

Studies suggest that distress is associated with various health conditions such as hypertension, asthma, diabetes, and coronary heart disease. However, only few studies focused on Asian Americans and little is known about the association with multiple comorbidity.

METHODS

We conducted a cross-sectional analysis among 400 Chinese and Korean American participants (aged 50-75 years) of the STOP CRC randomized controlled trial. Perceived distress was assessed using the distress thermometer scale (range 0-10). Disease diagnosis was self-reported by the participants. Multimorbidity (MM) was defined as having ≥2 chronic conditions. Complex multimorbidity (CMM) was defined as having ≥3 of the following body system disorders: circulation disorder, endocrine-metabolic disorder, cancer, anxiety or depression, breathing problem, and other health problems. We performed logistic regression for CMM and Poisson regression with robust error variance for MM to estimate associations with distress, adjusting for potential confounders.

RESULTS

The mean age was 58.4 years and mean distress score was 3.65. One-unit increase in distress score was associated with a 1.22-fold increase in the odds of having CMM (95% CI: 1.04-1.42). The magnitude of association slightly increased after additional adjustment for socioeconomic factors and health insurance status (OR: 1.29; 95% CI: 1.10-1.52). Higher distress score was positively associated with MM but the association was only marginally significant (PR: 1.04; 95% CI: 0.99-1.10), adjusting for socioeconomic factors and health insurance status.

CONCLUSION

Our data suggest that higher perceived distress may be associated with simultaneous dysfunction of multiple distinct body systems among Chinese and Korean American older adults.

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.

The effect of Aromatherapy with Pelargonium graveolens (P. graveolens) on the fatigue and sleep quality of critical care nurses during the Covid-19 pandemic: A randomized controlled trial

OBJECTIVES

Measures to reduce nurses' fatigue are necessary to improve the patient's care and the nurse's health and well-being. This study investigated the effectiveness of aromatherapy with Pelargonium graveolens (P. graveolens) essential oil on fatigue and sleep quality of nurses working in intensive care units (ICU).

METHODS

In this double-blind, randomized, controlled clinical trial, 84 nurses working in the ICU of Covid-19 patients were assigned to two groups of P. graveolens and placebo by the stratified block method. The intervention group inhaled one drop of pure P. graveolens. The placebo group inhaled one drop of pure sunflower oil in three consecutive shifts (morning or evening) and each shift twice for 20 min. Using the Visual Analog Fatigue Scale (VAS-F), fatigue was measured 30 min before the intervention, immediately, and 60 min later. Also, on the morning of the intervention days, sleep quality was assessed with the Verran and Snyder-Halpern (VSH) Sleep Scale. Data analysis was performed using SPSS, version 24. Independent t-tests, Mann-Whitney, Chi-square tests, and MANOVA, were used.

RESULTS

The mean score of fatigue immediately and 60 min after aromatherapy in the P. graveolens group was lower than in the control group (P ˂ 0.05). There was no significant difference between the mean sleep scores of nurses in the P. graveolens group before and after the intervention (P > 0.05).

CONCLUSION

Inhalation aromatherapy with P. graveolens essential oil can reduce nurses' fatigue in the ICU. The findings of this study can make nurses interested in using aromatherapy as a self-care method.

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.

The role of sleep quality and perceived stress on depressive symptoms among tertiary hospital nurses: a cross-sectional study

BACKGROUND

Nurses in tertiary hospitals are at high risk for depression. Understanding sleep quality and perceived stress may contribute to nurses' mental health and health-related nursing productivity. The aim of this study was to investigate the role of sleep quality and perceived stress on depressive symptoms among nurses in tertiary hospitals.

METHODS

A total of 2,780 nurses (overall response rate = 91.1%) were recruited through a cross-sectional survey in 23 tertiary hospitals in China. Questionnaires included the Self-Rating Depression Scale, the Pittsburgh Sleep Quality Index, and the Chinese Perceived Stress Scale. Variables that were significant in Chi-square tests were further entered into binary logistic stepwise regression.

RESULTS

The prevalence of depressive symptoms was 60.3% (n = 1,676), of which 97.4% (n = 1,633) were female, and 77.8% were younger than 35 years (n = 1,304). Nurses who had moderate, poor, severe sleep quality and poor perceived pressure were more likely to be depressed. Master's degree, 6-10 years of work, and physical activity were protective factors, while the opposite was the case for shift work and high dissatisfaction.

CONCLUSIONS

More than half of nurses working in tertiary care hospitals reported depressive symptoms, and lower sleep quality and higher perceived stress were more associated with this. Perceived stress is an interesting concept, which may provide a new entry point for the well-known idea that there is a relationship between poor sleep quality and depression. It is possible to reduce depressive symptoms among public hospital nurses by providing information on sleep health and stress relief.

The impact of organizational justice on psychological distress among Chinese public hospitals nurses: A cross-sectional study

Few studies have explored the association between organizational justice and mental health, particularly in collectivist countries. Hence, the aim of the present study was to evaluate the impact of organizational justice on psychological distress and to discuss the findings in collectivist culture. A cross-sectional survey was conducted among nurses from public hospitals in western of China, July 2022, which followed the STROBE guidelines. This study used Chinese versions of the Organizational Justice Scale and Kesseler Psychological Distress Scale to assess the perceptions of organizational justice and mental health levels, respectively. A total of 663 nurses completed the questionnaires. The psychological distress of university-educated and low-income nurses was poor. There was a moderately positive relationship between organizational justice and psychological distress (R = 0.508, P < .01), indicating that the greater level of organizational injustice, the poorer mental health. Hierarchical regression analysis showed that organizational justice was an strong predictor of psychological distress, accounting for approximately 20.5% of the psychological distress. The findings of this study highlight the importance of interpersonal injustice and distributive injustice on psychological distress specific in Chinese culture, suggesting that nursing management or leaders should notice that the most being taken seriously by nurses is their recognition and respect for subordinate, meanwhile, alerting nurses, in some sense, a negative relationship with leaders as a kind of workplace bullying could harm their mental health. The promulgation of organizational justice policy to protect employees from the government and the real role of employee labor union organizations are urgently needed.

The Effect of Risk Propensity on Family-Work and Work-Family Conflicts in Jordanian Nurses: Does Gender Matter?

INTRODUCTION

Work and family duties may be in conflict, which can cause a problem faced by nurses and lead to significant physical and mental health risks. This study examined whether gender moderated the relationship between risk propensity with work-family and family-work conflicts in Jordanian nurses.

METHOD

A cross-sectional study was conducted to collect data from 206 nurses currently employed in two major referral hospitals. Data analysis was performed using the Macros process and correlations.

RESULTS

The bivariate correlations showed that family-work conflict was significantly correlated with depression, stress, and risk propensity. Work-family conflict was only correlated with depression and stress. Macros process results showed that gender moderated the relationship between risk propensity and family-work conflict. These results showed that the risk propensity significantly affected family-work conflict in male but not female nurses.

DISCUSSION

The results showed that gender moderated the relationship between risk propensity and family-work conflict but not between risk propensity and work-family conflict.

Prevalence and risk factors of poor sleep quality in continuous ambulatory peritoneal dialysis patients in Nanchang, Southeast China

This study aimed to explore the prevalence and risk factors of poor sleep quality in patients undergoing continuous ambulatory peritoneal dialysis (CAPD) at the peritoneal dialysis center of the First Affiliated Hospital of Nanchang University. This cross-sectional study was conducted from March 2019 to December 2019. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality of patients undergoing CAPD. A PSQI score of ≥5 was defined as poor sleep quality, whereas a PSQI of <5 was defined as good sleep quality. Logistic regression analysis was used to analyze risk factors for poor sleep quality. In total, 456 patients undergoing CAPD were investigated. The average PSQI score was 5.0 ± 2.9. Among the participants, 46.3% had poor sleep quality, and 45.6% were female patients. The average age was 49.4 ± 13.3 years. Compared with good sleepers, poor sleepers included a higher proportion of females and calcium–phosphorus (Ca × P) product, longer dialysis durations, lower total endogenous creatinine clearance rates, less residual renal function, and lower albumin levels. Multivariate logistic regression analysis showed that a long dialysis duration, low albumin level, and high Ca × P product were independent risk factors for poor sleep quality in patients undergoing CAPD. Odds ratios (95% confidence interval) for these risk factors were 1.01 (1.00–1.02), 0.95 (0.91–1.00), and 1.02 (1.00–1.03), respectively. Interventions aimed at improving albumin and Ca × P product levels may improve quality of life for CAPD patients.

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

AIM

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Application of unified protocol as a transdiagnostic treatment for emotional disorders during COVID-19: An internet-delivered randomized controlled trial

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has been an emotionally challenging time, especially for young adults. It is associated with a substantial increase in the prevalence of mental health problems, negative symptoms, and stressful experiences that compromise well-being. In low-income countries, internet-delivered psychological services could have a remarkable impact on the population's mental health, given the lack of mental health professionals.

AIM

To investigate the efficacy of internet-delivered cognitive-behavior therapy (CBT)-transdiagnostic intervention for adults with emotional disorders.

METHODS

In this internet-delivered randomized controlled trial, 102 students with an emotional disorder (mean age = 28.20 years, standard deviation = 5.07) were randomly allocated to receive unified protocol (UP) (n = 51) or treatment as the usual intervention. Following a semi-structured clinical interview, participants completed an online survey including the Overall Anxiety Severity and Impairment Scale, Overall Depression Severity and Impairment Scale, Difficulties in Emotion Regulation Scale, Positive and Negative Affect Schedule, and Emotional Style Questionnaire.

RESULTS

The participants showed a high degree of adherence. In total, 78% (n = 40) of the experimental group participants completed the UP treatment. Considering the intention to treat procedure, the results of the analysis of covariance indicated that participants who received UP showed statistically significant changes in depression symptoms [Cohen's d = -1.50 with 95% confidence interval (CI): -1.90 to -1.10], anxiety (Cohen's d = -1.06 with 95%CI: -1.48 to -0.65), difficulties with emotion regulation (Cohen's d = -0.33 with 95%CI: -0.7 to -0.06), positive affect (Cohen's d = 1.27 with 95%CI: 0.85 to 1.68), negative affect (Cohen's d= -1.04 with 95%CI: -1.46 to -0.63), and healthy emotionality (Cohen's d = 0.53 with 95%CI: 0.09 to 0.13) compared with the control group.

CONCLUSION

This study's findings highlight the potential value of transdiagnostic internet-delivered programs for young adults with an emotional disorder during the COVID-19 pandemic, and expand the research examining emotional well-being improvements resulting from CBT-transdiagnostic interventions. The findings suggest that UP, which generally concentrates on reducing negative effects, can increase positive effects.

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.

SLEEP ASSESSMENT AND ASSOCIATED FACTORS IN HOSPITAL NURSING WORKERS

ABSTRACT Objective: analyze the relationship between sleep quality, excessive daytime sleepiness, and health symptoms among the nursing team working in a hospital. Method: cross-sectional research, carried out with the nursing team of a public hospital in Brazil, between September 2017 and April 2018. A sociodemographic questionnaire, health symptoms, Sleepiness Scale, and the Pittsburgh Sleep Quality Index were used. Data are presented as absolute and relative frequencies, means, standard deviations, bivariate analysis, and binary logistic regression. Results: a total of 308 workers participated in the study, and poor sleep quality and absence of daytime sleepiness predominated among them. There was an association between sleepiness, children (p=0.006), and work accidents (p=0.044). Factors associated with poor sleep quality and drowsiness, appetite disorders, feeling of poor digestion, flatulence, weight gain, irritability, headache, feeling of low self-esteem, and mood lability. Conclusion: appetite disorder was the main factor for poor sleep quality for the nursing team working in a hospital in Brazil. This suggests that it is important to consider sleep quality when examining a worker´s health.

AVALIAÇÃO DO SONO E FATORES ASSOCIADOS EM TRABALHADORES DE ENFERMAGEM HOSPITALAR

RESUMO Objetivo: analisar a relação entre qualidade do sono, sonolência diurna excessiva e sintomas de saúde entre a equipe de enfermagem que atuava em um hospital. Método: pesquisa transversal, realizada com a equipe de enfermagem de um hospital público do Brasil, entre setembro de 2017 e abril de 2018. Foram utilizados questionário sociodemográfico, sintomas de saúde, Escala de Sonolência e Índice de Qualidade do Sono de Pittsburgh (PSQI-BR). Os dados são apresentados como frequências absolutas e relativas, médias, desvios padrão, análise bivariada e regressão logística binária. Resultados: participaram do estudo 308 trabalhadores, predominando entre eles a má qualidade do sono e a ausência de sonolência diurna. Houve associação entre sonolência, crianças (p=0,006) e acidentes de trabalho (p=0,044). Os fatores associados à má qualidade do sono e sonolência foram distúrbios do apetite, sensação de má digestão, flatulência, ganho de peso, irritabilidade, dor de cabeça, sensação de baixa autoestima e labilidade do humor. Conclusão: o transtorno do apetite foi o principal fator de má qualidade do sono para a equipe de enfermagem que atuava em um hospital no Brasil. Isso sugere que é importante considerar a qualidade do sono ao examinar a saúde do trabalhador.

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.

Prevalence and related factors of depression and anxiety in a cohort of Chinese elderly caregivers in the nursing home

BACKGROUND

The heavy care burden, the long-term dependence of the disabled elderly, and the changing social roles can put elderly caregivers at high risk for mental disorders. This study aimed to explore the prevalence and related factors of depression and anxiety among elderly caregivers and examine the role of resilience in depression and anxiety.

METHODS

A multicentre cross-sectional survey was designed. A total of 953 elderly caregivers in nursing homes were recruited in three provinces in China using convenience sampling. Depression and anxiety were measured by self-rating depression scale (SDS) and self-rating anxiety scale (SAS). Multivariate logistic regression analysis was used to explore the key factors associated with depression and anxiety.

RESULTS

The median SDS score was 40 (interquartile interval 34-48), and the median SAS score was 48 (interquartile interval 38-56). In this cohort, 19.4% reported depression and 44.0% anxiety. Working hours, sensitive personality and health status were related factors for depression symptom. In terms of anxiety symptoms, its related factors included working hours, health status and higher monthly income. Furthermore, resilience was associated with depression and anxiety among caregivers.

LIMITATIONS

A selection bias may be caused by convenience sampling and voluntary participation.

CONCLUSION

Depression and anxiety symptoms were common in the cohort of Chinese elderly caregivers in the nursing home. The factors explored in this study may contribute to the development of individualized interventions for depression and anxiety symptoms.

CE: Nurses Are More Exhausted Than Ever: What Should We Do About It?

ABSTRACT

For nurses, the challenges posed by demanding work environments and schedules often lead to fatigue, and this can be exacerbated during crises like the COVID-19 pandemic. In this article, the authors discuss causes and challenges of nurse fatigue and consider several evidence-based strategies and solutions for individual nurses and organizations. Barriers to implementation, including a negative workplace culture and inadequate staffing, are also described, and several resources are presented.

Gender Gap in Mindfulness Assessment Among Italian Nurses: A Pilot Descriptive Study

"Purpose: The present study aimed to explore gender differences in the mindfulness tendency, specifically in the awareness and attention dimensions and also in the observing, describing, acting with awareness and accepting without judgement in Italian nurses. Methods: In June 2020 an on-line questionnaire was administered to nurses in order to analyze any differences both in the Mindfulness Attention Awareness Scale (MAAS) and the Kentucky Inventory of Mindfulness Skills (KIMS) according to gender variable. Findings: 200 questionnaires were collected. Findings showed significant higher MAAS total score in males than females (p=.004). Additionally, by considering the four sub dimensions in the Mindfulness tendency, females reported significant higher levels in some items of “Observe” (p=.004) and “Act with awareness” (p=.001) than males, while males reported significant higher scores in the “Accept without judgement” than females (p<.001). Conclusions: The present study was a pilot research on exploring gender differences in mindfulness in Italian nurses in order to hope that it will be only the beginning of empirical research on this topic and to better address future mindfulness training courses addressed to nurses by emphasizing certain aspects of mindfulness for females compared to males and vice versa."

Poor Sleep Quality in Nurses Working or Having Worked Night Shifts: A Cross-Sectional Study

Night shifts are part of clinical care. It is unclear whether poor sleep quality of nurses working both consecutive night shifts and day shifts after quitting night shifts is common. In this cross-sectional study, Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality as study outcome. Univariable and multivariable linear and logistic regressions were performed to compare PSQI score and prevalence of poor sleep quality between 512 nurses currently working consecutive night shifts and 174 nurses having worked night shifts in the past. The prevalence of poor sleep quality was 62.11% in nurses working consecutive night shifts and 55.75% in nurses having worked night shifts before. In multivariable regressions with adjustment for potential confounders, compared with nurses working consecutive night shifts, nurses having worked past night shifts reported decreased PSQI score [mean difference: −0.82 (95% CI: −1.27 to −0.38, p < 0.001)] and lower poor sleep quality [odds ratio (OR): 0.49 (95% CI: 0.29 to 0.80, p = 0.005)]. In nurses working consecutive night shifts, a rising curve that plateaued at the end was observed between years of consecutive night shifts and PSQI score, p = 0.004. To explore the change in PSQI score after quitting night shift, we constructed a hypothetical prospective cohort from the cross-sectional data. Here, 98 pairs of nurses with consecutive and past night shifts were matched for the number of night shift years, religion, marital status, living condition, hypertension, and hyperlipidemia. In each pair, a hypothetical change in PSQI score was calculated between the two types of nurses and hypothetical years after quitting night shifts was obtained from the matched nurse with past night shifts. A U-shaped curve between change in PSQI and years after quitting night shifts was observed, p = 0.007. The rising curve and U-shaped curve together formed an S-shaped curve, which mapped the change in sleep quality. These results based on the hypothetical cohort constructed from cross-sectional data suggested the presence of persistent poor sleep quality in night shift nurses. Also, we support early and continuous sleep hygiene education and reflection for an optimal strategy for when to cease working night shifts with regard to sleep-related problems.

Frustration With Technology and its Relation to Emotional Exhaustion Among Health Care Workers: Cross-sectional Observational Study

BACKGROUND

New technology adoption is common in health care, but it may elicit frustration if end users are not sufficiently considered in their design or trained in their use. These frustrations may contribute to burnout.

OBJECTIVE

This study aimed to evaluate and quantify health care workers' frustration with technology and its relationship with emotional exhaustion, after controlling for measures of work-life integration that may indicate excessive job demands.

METHODS

This was a cross-sectional, observational study of health care workers across 31 Michigan hospitals. We used the Safety, Communication, Operational Reliability, and Engagement (SCORE) survey to measure work-life integration and emotional exhaustion among the survey respondents. We used mixed-effects hierarchical linear regression to evaluate the relationship among frustration with technology, other components of work-life integration, and emotional exhaustion, with adjustment for unit and health care worker characteristics.

RESULTS

Of 15,505 respondents, 5065 (32.7%) reported that they experienced frustration with technology on at least 3-5 days per week. Frustration with technology was associated with higher scores for the composite Emotional Exhaustion scale (r=0.35, P<.001) and each individual item on the Emotional Exhaustion scale (r=0.29-0.36, P<.001 for all). Each 10-point increase in the frustration with technology score was associated with a 1.2-point increase (95% CI 1.1-1.4) in emotional exhaustion (both measured on 100-point scales), after adjustment for other work-life integration items and unit and health care worker characteristics.

CONCLUSIONS

This study found that frustration with technology and several other markers of work-life integration are independently associated with emotional exhaustion among health care workers. Frustration with technology is common but not ubiquitous among health care workers, and it is one of several work-life integration factors associated with emotional exhaustion. Minimizing frustration with health care technology may be an effective approach in reducing burnout among health care workers.

Effects of an Adaptive Education Program on the Learning, Mental Health and Work Intentions of New Graduate Nurses

Health care workers are at a higher risk of psychological distress than ordinary people. Stress affects physical and mental health, and can even produce an intention to leave. The current training for new graduate nurses (NGNs) during this transitional period mostly focuses on the cultivation of professional ability, with less attention to mental health or emotional feelings, and thus there are insufficient structured support strategies. As such, this study explores the effects of intervention through an appropriate education program on the learning, mental health and work intentions of new recruits during the transition period. A pre-test and post-test for a single group was designed for new nursing staff in a large teaching hospital in northern Taiwan. The test period was from May 2017 to December 2018, and a total of 293 cases were accepted. A three-month adaptive education program was provided and evaluated in terms of: care for learning, care for health, improving professional ability, and individualized guidance on satisfaction, mental health disturbance and work intention. The new graduate nurses who received gentle care and counseling showed a downward trend in their BSRS-5 scores and statistical differences over time (p < 0.001). The higher the BSRS-5 score, the easier it is for new graduate nurses in acute and intensive care units. There is a tendency for turnover leave (p = 0.03). After the intervention of the overall plan, the turnover rate of new graduate nurses within three months was 12.6%, and the one-year retention rate was 87.9%. The adaptive education program uses multiple support strategies to improve learning and professional abilities, to reduce psychological emotions, and thereby to increase retention. Today will face new medical challenges; the education programs will become more important across clinical care settings, and it will be important to rigorously validate their performance in helping NGNs.

Effort-Reward Imbalance and Its Effects on Satisfaction With Working Conditions and Sleep-Related Problems: Comparison of Nurses and Other Occupations

PURPOSE

This study aimed to compare effort-reward imbalance (ERI) among registered nurses, social workers, and elementary school teachers, and to analyze the effects of ERI on satisfaction with working conditions and sleep-related problems.

DESIGN

A secondary data analysis was conducted using cross-sectional data from the Korean Working Conditions Survey collected in 2017. The study sample included 276 registered nurses, 97 social workers, and 229 elementary school teachers.

METHODS

The effort index was measured using two dimensions (work intensity and working time quality) with seven subdimensions. The reward index consisted of three dimensions (social support, earning, and prospects) with five subdimensions. The ERI index was computed by dividing the average effort score by the average reward score. Linear or logistic regression analysis was conducted to compare efforts, rewards, and ERI among the three occupations and to examine the effects of ERI on satisfaction and sleep-related problems.

FINDINGS

Nurses had a significantly higher effort score than the other two groups. However, nurses had a lower reward score than elementary school teachers, but a higher score than social workers. The highest ERI index was found among nurses (0.47 ± 0.16), followed by social workers (0.39 ± 0.30) and elementary school teachers (0.30 ± 0.15). All three occupations showed an inverse relationship between ERI and satisfaction with working conditions and positive relationships between ERI and sleep-related problems.

CONCLUSIONS

The high ERI (i.e., more effort relative to reward) perceived by nurses was associated with diminished satisfaction and increased sleep-related problems.

CLINICAL RELEVANCE

To attract future generations to nursing as a career choice and to ensure a sustainable nurse workforce, the nurse-perceived ERI should be decreased by reducing work demands and increasing both monetary and nonmonetary rewards.

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.

Predicting the quality of life based on pain dimensions and psychiatric symptoms in patients with Painful diabetic neuropathy: a cross-sectional prevalence study in Iranian patients

Background

This study aimed to predict the quality of life (QOL) in patients with Painful Diabetic Neuropathy (PDN) based on pain severity, pain catastrophizing, pain acceptance, depression, anxiety, and sleep disturbance. Also, this study was aimed to assess the prevalence of psychiatric symptoms in Iranian patients with PDN.

Method

1120 patients (mean age, 53.6 ± 12.6 years) participated in the research. Data were collected by the Quality of life questionnaire (NeuroQoL); Beck Depression Inventory, Beck Anxiety Inventory, the visual analog scale for pain severity, Pain Catastrophizing Scale (PCS), Chronic Pain Acceptance Questionnaire (CPAQ) and Pittsburgh Sleep Quality Index (PSQI). Finally, the data were analyzed using SPSS-26 by multiple regression analysis.

Results

The results showed the regression models’ significance, and the dependent variables predicted 42% of total changes in the QOL. The most significant predicting factors were depression, pain catastrophizing, pain acceptance, pain severity, sleep disturbance, and anxiety in order. In patients with PDN, the prevalence of sleep disturbances, depression, and anxiety were 85.5%, 68.2%, and 62.1%, respectively. Also, comorbid depression and anxiety were found in 47% of patients.

Conclusion

Results demonstrated a significant relationship between pain-related and psychiatric dimensions with QOL. Thus, it is suggested to design more specific psychological-based rehabilitation interventions in which these variables are considered. They should focus on more significant variables (such as depression and pain catastrophizing) to reach better treatment outcomes. Furthermore, this research shows a high level of anxiety, depression, and sleep disturbance in Iranian patients with PDN. Thus, experts and clinicians are suggested to focus on reducing these psychiatric symptoms.