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

Workplace violence and depressive symptoms: the mediating role of fear of future workplace violence and burnout among Chinese nurses

BACKGROUND

The mechanisms underlying the relationship between workplace violence (WPV) and depressive symptoms in nurses have been less studied. This study aims to examine the mediating role of fear of future workplace violence (FFWV) and burnout in the association between WPV and depressive symptoms.

METHODS

We conducted a cross-sectional web survey at 12 tertiary hospitals in Shandong province, China, in 2020. The Center for Epidemiologic Studies Depression Scale (CESD-10), the Chinese version of the Maslach Burnout Inventory-General Survey and the Fear of Future Violence at Work Scale were used to collect data. Descriptive statistics, independent sample t-test, one-way analysis of variance, Pearson's correlation coefficient, and ordinary least squares regression with bootstrap resampling were used to analyze the data.

RESULTS

The prevalence of depressive symptoms was 45.9% among nurses. The regression model showed that FFWV and burnout mediated the relationship between WPV and depressive symptoms. The total effects of WPV on depressive symptoms (3.109, 95% bootstrap CI:2.324 - 3.713) could be decomposed into direct (2.250, 95% bootstrap CI:1.583 - 2.917) and indirect effects (0.769, 95% bootstrap CI:0.543 - 1.012). Indirect effects mediated by FFWV and burnout were 0.203 (95% bootstrap CI:0.090 - 0.348) and 0.443 (95% bootstrap CI:0.262 - 0.642), respectively. Furthermore, serial multiple mediation analyses indicated that the indirect effect mediated by FFWV and burnout in a sequential manner was 0.123 (95% bootstrap CI:0.070 - 0.189).

CONCLUSION

The prevalence of depressive symptoms among Chinese nurses was high. The WPV was an important risk factor for depressive symptoms and its negative effect was mediated by FFWV and burnout. The importance of decreasing WPV exposure and level of FFWV and burnout was emphasized to prevent depressive symptoms among nurses. The findings implied that hospital managers and health policy makers should not only develop targeted interventions to reduce exposure to WPV in daily work among all nurses, but also provide psychological support to nurses with WPV experience to reduce FFWV and burnout.

Sleep quality and subjective well-being in healthcare students: examining the role of anxiety and depression

Objective

Sleep issues, negative emotions, and health conditions are commonly co-occurring, whereas their associations among healthcare students have yet to be elucidated. This study aimed to examine whether anxiety and depression mediate the relationship between sleep quality and subjective well-being in healthcare students.

Methods

A cross-sectional survey was conducted among Chinese healthcare students (N = 348). A battery of paper-and-pencil questionnaires-the Sleep Quality Questionnaire (SQQ), World Health Organization-Five Well-Being Index (WHO-5), and Patient Health Questionnaire-4 (PHQ-4) were applied. Descriptive analysis with means (standard deviations) and counts (proportions), Spearman correlation analysis between the SQQ, WHO-5, and PHQ-4, and mediation analysis via structural equation models were performed.

Results

Correlation analysis revealed statistically significant associations between sleep quality, anxiety and depression, and well-being among healthcare students. Mediation analysis identified that poor sleep quality produced relatively low levels of self-reported well-being, which were entirely attributable to anxiety and depression.

Conclusion

Sleep quality was associated with subjective well-being, and this interrelationship was fully mediated by anxiety and depression. Interventions aimed at promoting sleep quality of healthcare students may contribute to promoting their well-being by reducing anxiety and depression.

Association of anxiety, depression symptoms and sleep quality with chronic kidney disease among older Chinese

This study aimed to explore the association of anxiety, depression symptoms and sleep quality with chronic kidney disease (CKD) among older Chinese adults. A total of 1025 participants from the Chinese Longitudinal Healthy Longevity Survey (CLHLS, 2011-2012) were included in our study. The Generalized Anxiety Disorder scale was used to assess anxiety and the Center for Epidemiologic Studies Depression Scale was used to evaluate depressive symptoms. Logistic regression models were conducted to explore the odds ratios (ORs) and 95% confidential intervals (CIs). We found that anxiety, depression symptoms and poor sleep quality were positively associated with albuminuria, impaired estimated glomerular filtration (eGFR) and CKD, after adjusting for other covariates. For anxiety symptom, the ORs and 95% CIs were 1.20 (1.15-1.38) for albuminuria, 1.16 (1.12-1.35) for impaired eGFR and 1.18 (1.12-1.36) for CKD, respectively. For depression symptom, the ORs and 95% CIs were 1.15 (1.05-1.23) for albuminuria, 1.14 (1.05-1.20) for impaired eGFR and 1.14 (1.05-1.22) for CKD, respectively. Compared with good sleep quality, the OR and 95% CI of poor sleep quality were 1.12 (1.04-1.35) for albuminuria, 1.10 (1.02-1.30) for impaired eGFR and 1.11 (1.03-1.32) for CKD, respectively. And the positive association was more evident among females, body mass index ≥ 28, smoking and drinking adults. Anxiety, depression symptoms and poor sleep quality are positively associated with CKD. Future cohort studies are needed to confirm the results.

Effect of depressive symptoms on quality of work life in female nurses: a cross-sectional study using propensity score matching

Background

Female nurses have been considered as a vulnerable population in the context of mental health, due to the nature of their work, which can be stressful and emotionally taxing. Understanding the relationship between depressive symptoms and quality of work life (QWL) can contribute to improving mental health and job performance. However, limited studies have focused on the effect of depressive symptoms on QWL in female nurses.

Objectives

The present study aimed to assess the effect of depressive symptoms on female nurses' QWL using propensity score matching (PSM).

Methods

A cross-sectional, online study using convenience sampling was conducted among 1,401 female nurses in China. PSM was used to minimize the impact of potential confounders between no depressive symptoms and depressive symptoms. Stepwise multiple linear regression analyses were performed on the PSM samples to explore the effects of depressive symptoms on the QWL.

Results

The results revealed there were 33.5% of the female nurses reported depressive symptoms before PSM. And female nurses in this study had a moderate level of QWL before PSM (122.11 ± 18.15), which remained steady after PSM (118.33 ± 18.04). After PSM, the final sample contained 864 female nurses. Stepwise multiple linear regression results indicated that depressive symptoms were the most strongly associated with QWL (β = -0.454, p < 0.001).

Conclusion

This study highlights the importance of developing mental health plans and psychological interventions for female nurses to maintain mental health and QWL, which is critical to the nursing workforce's sustainability.

Sleep Quality and Its Relationship to Anxiety and Hardiness in a Cohort of Frontline Italian Nurses during the First Wave of the COVID-19 Pandemic

INTRODUCTION

The COVID-19 pandemic has had a considerable impact on the psychological and psychopathological status of the population and health care workers in terms of insomnia, anxiety, depression, and post-traumatic stress disorder. The primary aim of this study was to describe and evaluate the impact of the pandemic on insomnia levels of a cohort of Italian nurses, particularly those involved in the care of COVID-19 patients. The secondary aim was to identify the interaction between insomnia and hardiness, anxiety, and sleep disturbances.

MATERIALS AND METHODS

A descriptive-exploratory study was conducted using an online survey during the first wave of the COVID-19 pandemic (March to July 2020). The questionnaire consisted of multiple-choice, open-ended, closed, and semi-closed questions. The psychometric tools administered were the Dispositional Resilience Scale (DRS-15), the State-Trait Anxiety Inventory (STAI-Y), and the Insomnia Severity Index (ISI).

RESULTS

a cohort of 1167 nurses fully completed the questionnaire (86.2% of total respondents). The insomnia scale survey showed an increase in post-pandemic scores compared to those before the pandemic, implying that insomnia levels increased after the first pandemic wave. Insomnia scores were directly correlated with anxiety levels (r = 0.571; p ≤ 0.05) and inversely correlated with hardiness levels (r = -0.324; p < 0.001). Multivariate analysis revealed the following protective factors: not having worked in COVID-19 wards, high levels of hardiness (commitment), and the presence of high pre-pandemic insomnia disorder. The main risk factor for insomnia reported in the analysis was a high anxiety score.

DISCUSSION AND CONCLUSION

Anxiety represented the main risk factor for insomnia severity in our sample, while hardiness was confirmed as a protective factor. Thus, it is necessary to design further studies to identify additional risk factors for poor sleep quality and to develop educational courses and strategies aimed at enhancing rest and sleep quality, especially for frontline nurses.