Status and influencing factors of nurses' burnout: A cross-sectional study during COVID-19 regular prevention and control in Jiangsu Province, China.

Background: Chinese nurses working with immense stress may have issues with burnout during COVID-19 regular prevention and control. There were a few studies investigating status of burnout and associated factors among Chinese nurses. However, the relationships remained unclear. Objectives: To investigate status and associated factors of nurses' burnout during COVID-19 regular prevention and control. Methods: 784 nurses completed questionnaires including demographics, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, Impact of Event Scale-revised, Perceived Social Support Scale, Connor-Davidson Resilience Scale, General Self-efficacy Scale and Maslach Burnout Inventory. Results: 310 (39.5%), 393 (50.1%) and 576 (73.5%) of respondents were at high risk of emotional exhaustion (EE), depersonalization (DP) and reduced personal accomplishment (PA). The risk of EE, DP and reduced PA were moderate, high and high. Nurses with intermediate and senior professional rank and title and worked >40 h every week had lower scores in EE. Those worked in low-risk department reported lower scores in PA. Anxiety, post-traumatic stress disorder (PTSD), self-efficacy and social support were influencing factors of EE and DP, while social support and resilience were associated factors of PA. Conclusion: Chinese nurses' burnout during COVID-19 regular prevention and control was serious. Professional rank and title, working unit, weekly working hours, anxiety, PTSD, self-efficacy, social support and resilience were associated factors of burnout.

PTSD of Chinese nurses in the normalisation of COVID-19 pandemic prevention and control: Prevalence and correlates.

Background: Though the severe prevention and control measures faced by Chinese nurses had changed during the normalisation stage of the coronavirus 2019 (COVID-19) pandemic, they still worked under great stress. Due to a lack of related evidence, we aimed to investigate the prevalence and correlates of post-traumatic stress disorder (PTSD) among Chinese nurses during the normalisation of COVID-19 pandemic prevention and control measures. Methods: Using convenience sampling, we recruited 784 nurses in Jiangsu province, China to complete a survey via their mobile devices. We used a demographic questionnaire, the Perceived Social Support Scale, the Connor-Davidson Resilience Scale, the General Self-Efficacy Scale, and The Impact of Event Scale-Revised to collect data and applied binary logistic regression analysis to identify factors associated with PTSD. Results: The prevalence of PTSD was 26.4%. Married nurses were less likely to experience PTSD than unmarried ones (odds ratio (OR) = 0.573; 95% confidence interval (CI) = 0.33-0.99, P = 0.046). Social support (OR = 0.96; 95% CI = 0.94-0.98, P = 0.000) and resilience (OR = 0.98; 95% CI = 0.97-0.99, P = 0.004) were significant predictors of PTSD. Conclusions: PTSD remained prevalent among Chinese nurses as COVID-19 pandemic prevention and control measures became normalised, with an incidence rate of 26.4%. Resilience, social support, and marital status were factors associated with PTSD. Chinese hospital management must intervene to improve resilience and social support for nurses to reduce symptoms of PTSD.

The impact of insomnia on anxiety and depression: a longitudinal study of non-clinical young Chinese adult males.

Insomnia, anxiety, and depression commonly co-occured and were closely related. Most of the prior studies were cross-sectional, with a poor ability to infer causality. Longitudinal study was needed to classify the relationships. The present study conducted a longitudinal study of non-clinical young Chinese males to investigate whether insomnia predicted the likelihood of future anxiety and depression, and vice versa. Convenient sampling method was applied, and 288 participants was recruited from Shanghai in October 2017 with Athens Insomnia Scale (AIS), Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9). 120 of them were re-tested in June 2018. The drop-out rate was 58.33%. Correlation analyses and cross-lagged analysis showed that AIS global score was significantly positively related with scores of depression and anxiety at baseline and follow-up. Insomnia was a predictive factor of anxiety, but it can't predict depression. In sum, insomnia may be an important cause of anxiety, while no predictive relationship was found between insomnia and depression.

Impact of Insomnia on Burnout Among Chinese Nurses Under the Regular COVID-19 Epidemic Prevention and Control: Parallel Mediating Effects of Anxiety and Depression.

Objective: To investigate the mediating effects of anxiety and depression in the relationship between insomnia and burnout among Chinese nurses under the regular COVID-19 epidemic prevention and control. Methods: Convenience sampling was applied to recruit 784 nurses in Jiangsu Province, China. The respondents completed the survey via mobile devices. Demographic questionnaire, Insomnia Severity Index, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9 and Maslach Burnout Inventory were used to assess demographic information, insomnia, anxiety, depression, and burnout, respectively. Hayes PROCESS macro was employed to examine the mediation model. Results: Insomnia, anxiety, depression and burnout were positively and significantly associated with each other. Anxiety and depression played partial mediation effects between insomnia and burnout with the mediation effect of anxiety and depression accounting for 28.87% and 31.69% of the total effect, respectively. Conclusion: Insomnia may lead to burnout through the parallel mediating effects of anxiety and depression in Chinese nurses. Interventions on sleep, anxiety and depression from the hospital management were essential to ameliorate nurses' burnout status under the regular COVID-19 epidemic prevention and control.

Resilience and Anxiety Among Healthcare Workers During the Spread of the SARS-CoV-2 Delta Variant: A Moderated Mediation Model.

INTRODUCTION: The B.1.617.2 (Delta) variant of SARS-COV-2 has caused a surge in COVID-19 cases worldwide, placing a great burden on the health care system under the zero-tolerance epidemic prevention policy in China. The present study aimed to investigate the prevalence of anxiety among health care workers during the spread of the SARS-CoV-2 Delta variant, and to discuss the mediating role of positive coping style between resilience and anxiety, and the moderating role of general self-efficacy. METHOD: Connor-Davidson Resilience scale (CD-RISC), Generalized Anxiety Disorder Scale (GAD-7), General Self-efficacy Scale (GSES) and Simplified Coping Style Questionnaire (SCSQ) were used in this cross-sectional study among 390 healthcare workers in Jiangsu Province, China. Mackinnon's four-step procedure was applied to test the mediation effect, and Hayes PROCESS macro was conducted to examine the moderated mediation model. RESULTS: The prevalence of anxiety among Chinese healthcare workers during the spread of the SARS-CoV-2 Delta variant was 41.8%. Male, unmarried, childless and younger subjects reported higher levels of anxiety. Positive coping partially mediated the effect of resilience on anxiety among healthcare workers and the indirect effect was stronger with the increase of general self-efficacy. CONCLUSIONS: Anxiety was prevalent among healthcare workers during the spread of SARS-CoV-2 Delta variant. This research sheds new light on the potential mechanism underlying the association between resilience and anxiety and provides new insight into the prevention of anxiety among healthcare workers during the spread of the SARS-CoV-2 Delta variant.

Posttraumatic stress symptoms among health care workers during the COVID-19 epidemic: The roles of negative coping and fatigue.

Healthcare workers (HCWs) exposed to Coronavirus disease 2019 (COVID-19) are not immune to stressors. This study aimed to explore the prevalence of posttraumatic stress symptoms (PTSS) among HCWs during the COVID-19 epidemic and investigate the associations among negative coping, fatigue and PTSS. A total of 507 HCWs from Anhui province enrolled in the study and completed the cross-sectional survey including demographic data, Simplified Coping Style Questionnaire (SCSQ), 14-item Fatigue Scale (FS-14), and PTSD Checklist-civilian Version (PCL-C). Univariate linear regression, Pearson correlation and Mackinnon's four-step procedure were performed in the statistical analysis. Results indicated that the prevalence of PTSS among HCWs during the pandemic was 24%. Univariate linear regression showed HCWs aged 31-40 years exhibited significantly higher scores of PTSS than those aged 51-60 (ß = 0.20, 95% CI: 0.59 to 9.41). Having at least one child was associated with a higher risk of developing PTSS (ß = 0.01, 95% CI: 0.36 to 5.45). Negative coping and fatigue were positively correlated with all three PTSS (all P < 0.001), including re-experiencing, avoidance and hyper-arousal. Fatigue has mediated the association between negative coping and PTSS among HCWs during the pandemic (ab = 0.09, SE = 0.03, bootstrap 95% CI: 0.04 to 0.14). A considerable proportion of HCWs was traumatized during the COVID-19 outbreak. Hence, the institutions should screen out and pay close attention to HCWs who tend to use negative coping (e.g., withdrawal thinking, distraction and blaming others) and arrange work scientifically to avoid overfatigue and PTSS amid the public health crisis.

Mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China.

Objective: To investigate mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China. Methods: Random cluster sampling was applied to recruit 740 female nurses in China. The respondents completed the survey with mobile devices. Demographic questionnaire, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, and The Impact of Event Scale-Revised were used to assess demographic Information, anxiety, depression, insomnia and PTSD symptoms, respectively. The associated factors of mental health status were identified by binary logistic regression analysis. Results: The prevalence of anxiety and depression was 7.9 and 17.8%, respectively. Insomnia was an associated factor of anxiety (OR = 6.237, 95%CI = 6.055-23.761, P < 0.001) and depression (OR = 9.651, 95%CI = 5.699-22.370, P < 0.001), while PTSD was an associated factor of anxiety (OR = 11.995, 95%CI = 2.946-13.205, P < 0.001) and depression (OR = 11.291, 95%CI = 6.056-15.380, P < 0.001), Being married was a protective factor of depression (OR = 0.811, 95%CI = 1.309-6.039, P < 0.01). Conclusion: Female nurses showed problems in mental health. Insomnia, PTSD and marital status were associated with mental health. The hospital management should pay more attention to the unmarried groups, and strive to improve the sleep quality of female nurses and reduce their stress caused by traumatic events.